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Author SHA1 Message Date
BigBodyCobain e8465e7aee Fix #250: bind Docker bridge local-operator trust to frontend hostname
Tightens the bridge-trust check so a connection on the Docker bridge
is only granted local-operator status when its source IP matches a
configured frontend container hostname (default: `frontend` + the
shipped `container_name` `shadowbroker-frontend`). Previously, when
`SHADOWBROKER_TRUST_DOCKER_BRIDGE_LOCAL_OPERATOR=1` was set, ANY IP
in the 172.16.0.0/12 range was granted local-operator privileges —
on a shared Docker host that included any unrelated container on the
same bridge.

Operators with renamed services can list new hostnames via the new
`SHADOWBROKER_TRUSTED_FRONTEND_HOSTS` env var (comma-separated). DNS
resolution is cached for 30s; if Docker DNS can't resolve any of the
configured names we fail closed and refuse the bridge entirely.

Single-user installs see no behavior change — the default-named
frontend container still resolves and is still trusted.

Credit: tg12 (external security audit)
2026-05-21 01:53:28 -06:00
263 changed files with 3113 additions and 26320 deletions
+2 -38
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@@ -10,23 +10,6 @@ OPENSKY_CLIENT_ID=
OPENSKY_CLIENT_SECRET=
AIS_API_KEY=
# Global Fishing Watch — fishing vessel activity events (Fishing Activity map layer).
# Free API token from https://globalfishingwatch.org/our-apis/tokens
# Without this the fishing_activity layer stays empty.
# GFW_API_TOKEN=
# Optional tuning — GFW can return 40k+ global events; defaults cap fetch for map paint.
# GFW_EVENTS_PAGE_SIZE=500
# GFW_EVENTS_MAX_PAGES=10
# GFW_EVENTS_LOOKBACK_DAYS=7
# GFW_EVENTS_TIMEOUT_S=90
# Windy Webcams global CCTV layer — free key from https://api.windy.com/webcams/docs
# WINDY_API_KEY=
# Telegram OSINT map layer — scrapes public t.me/s channel previews (no bot token).
# TELEGRAM_OSINT_ENABLED=true
# TELEGRAM_OSINT_CHANNELS=osintdefender,insiderpaper,aljazeeraenglish,nexta_live,war_monitor
# Admin key to protect sensitive endpoints (settings, updates).
# If blank, loopback/localhost requests still work for local single-host dev.
# Remote/non-loopback admin access requires ADMIN_KEY, or ALLOW_INSECURE_ADMIN=true in debug-only setups.
@@ -56,8 +39,8 @@ ADMIN_KEY=
# NUFORC_MAPBOX_TOKEN=
# Optional startup-risk controls.
# On Windows, external curl fallback is off by default. LiveUAMap uses UI consent
# when you enable Global Incidents (or set SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=true).
# On Windows, external curl fallback and the Playwright LiveUAMap scraper are
# disabled by default so blocked upstream feeds cannot interrupt start.bat.
# SHADOWBROKER_ENABLE_WINDOWS_CURL_FALLBACK=false
# SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=false
# AIS starts by default when AIS_API_KEY is set. Set to 0/false to force-disable.
@@ -94,19 +77,6 @@ ADMIN_KEY=
# pip install earthengine-api
# GEE_SERVICE_ACCOUNT_KEY=
# Copernicus CDSE — Sentinel-2 imagery (Settings → Imagery, or backend .env).
# Free OAuth app at https://dataspace.copernicus.eu/
# SENTINEL_CLIENT_ID=
# SENTINEL_CLIENT_SECRET=
# Sentinel-2 road corridor freight trends (DrishX engine port — opt-in slow layer).
# pip install -e backend[road-corridor] (or uv sync --extra road-corridor)
# ROAD_CORRIDOR_SAT_ENABLED=false
# ROAD_CORRIDOR_SCHEDULED_PRESETS=laredo_i35
# ROAD_CORRIDOR_MONTHS=2
# ROAD_CORRIDOR_MAX_FRAMES=6
# ROAD_CORRIDOR_REFRESH_HOURS=24
# Override the backend URL the frontend uses (leave blank for auto-detect)
# NEXT_PUBLIC_API_URL=http://192.168.1.50:8000
@@ -158,14 +128,8 @@ ADMIN_KEY=
# MESH_DM_ROOT_TRANSPARENCY_LEDGER_READBACK_URI=backend/../ops/root_transparency_ledger.json
# ── Self Update ────────────────────────────────────────────────
# Optional ZIP updater digest pin. The updater checks this first, then
# backend/data/release_digests.json, then the release SHA256SUMS.txt asset.
# MESH_UPDATE_SHA256=
# Optional strict nonce-only frontend CSP. Leave unset unless the exact build
# has been verified to hydrate cleanly in your deployment.
# SHADOWBROKER_STRICT_CSP=1
# ── Wormhole (Local Agent) ─────────────────────────────────────
# WORMHOLE_URL=http://127.0.0.1:8787
# WORMHOLE_TRANSPORT=direct
-13
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@@ -1,13 +0,0 @@
## Summary
<!-- What changed and why (13 bullets). -->
## Test plan
- [ ] <!-- How you verified the change -->
## Production hardening (data path / fetchers / unattended deploys only)
If this PR touches the data path, fetchers, or live-data APIs, walk through [docs/production-hardening.md](https://github.com/BigBodyCobain/Shadowbroker/blob/main/docs/production-hardening.md) and note any N/A items here.
- [ ] Checklist reviewed (or N/A — explain why)
-22
View File
@@ -7,28 +7,6 @@ on:
branches: [main]
workflow_call:
# CI flake mitigation:
# ci.yml is triggered TWICE per PR on the same commit — once directly via
# the `pull_request` trigger above ("Frontend Tests & Build" check) and once
# via `workflow_call` from docker-publish.yml ("CI Gate / Frontend Tests &
# Build" check). Both jobs land on the same Actions runner pool at the same
# time and fight for CPU/RAM. Under contention, React's reconciliation in
# `messagesViewFirstContact.test.tsx > removes an approved contact …`
# overruns its 5s waitFor timeout — that's the single failure mode we've
# seen flake on PRs #226, #237, #261, #262, #265, #294, #303, and the
# fd7d6fa push. Backend tests and every other frontend test pass under
# the same conditions, which is what made this look random.
#
# Pinning a concurrency group on the SHA (PR head, or the pushed commit
# for main) serializes the two invocations so neither starves the other.
# We use cancel-in-progress: false so the second one queues instead of
# cancelling — cancelling could leave the PR check stuck "Expected" if
# only one of the two ever finishes. Total CI time grows by ~2 min in
# exchange for deterministic outcomes.
concurrency:
group: ci-${{ github.event.pull_request.head.sha || github.sha }}
cancel-in-progress: false
jobs:
frontend:
name: Frontend Tests & Build
-38
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@@ -105,13 +105,6 @@ backend/data/*
# the self-updater as a second-line integrity check when the release's
# SHA256SUMS.txt asset can't be fetched.
!backend/data/release_digests.json
# Issue #244/#245/#246: one-shot carrier-position seed shipped with each
# release. Used ONLY on first-ever startup to bootstrap carrier_cache.json;
# after that the cache reflects this install's own GDELT observations.
!backend/data/carrier_seed.json
# DrishX RF model weights (MIT — see backend/third_party/drishx/NOTICE.md)
!backend/data/drishx/
!backend/data/drishx/rf_model.pickle
# OS generated files
.DS_Store
@@ -201,8 +194,6 @@ graphify-out/
# Internal docs & brainstorming (never commit)
# ========================
docs/*
!docs/OUTBOUND_DATA.md
!docs/production-hardening.md
!docs/mesh/
docs/mesh/*
!docs/mesh/threat-model.md
@@ -266,32 +257,3 @@ backend/data/wormhole_stdout.log
# Compressed snapshot archives (can be 100 MB+)
*.json.gz
# ──────────────────────────────────────────────────────────────────────
# AI assistant / coding-agent scratch
# ──────────────────────────────────────────────────────────────────────
# Per-tool config + scratch directories. These are private to whichever
# coding agent the operator happens to be using and have no business in
# the repo. If a tool's instructions need to be canonical for the project,
# we'll put them in docs/ explicitly — not let the agent dump them at the
# repo root.
# OpenAI Codex CLI
.codex/
.codex-app-schema/
.codex-app-ts/
# Per-agent instruction files dropped at repo root by various tools.
# These are operator-side preferences, not part of the project contract.
AGENTS.md
GEMINI.md
CLAUDE.md
.github/copilot-instructions.md
# Stale AI-generated test file that referenced fields that don't exist in
# the current `_parse_carrier_positions_from_news` implementation. Kept
# ignored so it doesn't accidentally get committed if it shows up again
# from a tool that's working off an out-of-date understanding of the
# module. If a real test for that function is needed, write it under a
# meaningful name in tests/test_carrier_tracker_quality.py.
backend/tests/test_carrier_tracker_region_centers.py
+12 -42
View File
@@ -13,22 +13,13 @@
# 2. Reverse-mirrors main back to GitHub (only if commits land directly
# on GitLab) so the two sources stay in sync.
#
# Pipelines on this repo were instant-failing for free-tier accounts until
# identity verification was added — the May 2026 bump in this comment is
# the marker commit that confirms runner allocation after verification.
#
# Auth notes:
# - The image build/push uses $CI_JOB_TOKEN, which GitLab provides
# automatically. No credentials need to be configured.
# - The reverse mirror authenticates to GitHub via a per-repo SSH
# deploy key. The private half is stored as the File-type GitLab
# CI/CD variable GITHUB_MIRROR_SSH_KEY (Protected). The matching
# public key is added to github.com/BigBodyCobain/Shadowbroker/
# settings/keys with write access. This is a tighter-scoped
# replacement for a personal access token: it can ONLY push to
# Shadowbroker, never expires, and rotating it is a one-click
# delete on GitHub's deploy-keys page. If the variable isn't set,
# the mirror job is skipped — image builds still run.
# - The reverse mirror requires a GitHub personal access token stored
# as the GitLab CI/CD variable GITHUB_MIRROR_TOKEN (Protected + Masked).
# Scope: public_repo (or repo for private). If the variable isn't
# set the mirror job is skipped — image builds still run.
stages:
- build
@@ -57,11 +48,7 @@ variables:
- docker info
- docker login -u "$CI_REGISTRY_USER" -p "$CI_JOB_TOKEN" "$CI_REGISTRY"
- docker run --privileged --rm tonistiigi/binfmt --install all
# buildx --driver docker-container can't read TLS from the env vars
# the GitLab dind service exports. Wrap them in a docker context and
# bind buildx to it. See https://docs.gitlab.com/ee/ci/docker/using_docker_build.html#use-docker-buildx
- docker context create tls-env
- docker buildx create --use --name multiarch --driver docker-container tls-env
- docker buildx create --use --name multiarch --driver docker-container
# ── Backend image ────────────────────────────────────────────────────────
build-backend:
@@ -106,35 +93,18 @@ build-frontend:
- .gitlab-ci.yml
# ── Reverse mirror to GitHub ─────────────────────────────────────────────
# Pushes refs/heads/main to github.com/BigBodyCobain/Shadowbroker via SSH
# using a per-repo deploy key. Fast-forward-only by default — if GitLab
# main and GitHub main have diverged, the push fails loudly rather than
# silently overwriting either side.
# Pushes refs/heads/main to github.com/BigBodyCobain/Shadowbroker.
# Fast-forward-only — if GitLab main and GitHub main have diverged, this
# fails loudly rather than silently overwriting either side.
#
# Only runs if GITHUB_MIRROR_SSH_KEY is set as a File-type CI/CD variable.
# See the header comment of this file for setup instructions.
# Only runs if GITHUB_MIRROR_TOKEN is set as a CI/CD variable. See the
# header comment of this file for setup instructions.
mirror-to-github:
stage: mirror
image: alpine:3.20
needs: []
before_script:
- apk add --no-cache git openssh-client ca-certificates
- mkdir -p ~/.ssh
- chmod 700 ~/.ssh
# Install the deploy key. File-type CI variable exposes the path; copy
# to ~/.ssh/id_ed25519 with restrictive perms so ssh accepts it.
- cp "$GITHUB_MIRROR_SSH_KEY" ~/.ssh/id_ed25519
- chmod 600 ~/.ssh/id_ed25519
# Pin github.com's current host keys so we never trust a man-in-the-
# middle. Sourced from https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/githubs-ssh-key-fingerprints
# (rotated 2023-03-24 after the previous RSA key leak).
- |
cat > ~/.ssh/known_hosts <<'EOF'
github.com ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIOMqqnkVzrm0SdG6UOoqKLsabgH5C9okWi0dh2l9GKJl
github.com ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBEmKSENjQEezOmxkZMy7opKgwFB9nkt5YRrYMjNuG5N87uRgg6CLrbo5wAdT/y6v0mKV0U2w0WZ2YB/++Tpockg=
github.com ssh-rsa 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
EOF
- chmod 644 ~/.ssh/known_hosts
script:
- git config --global user.email "ci-mirror@gitlab.com"
- git config --global user.name "GitLab CI Mirror"
@@ -145,7 +115,7 @@ mirror-to-github:
- cd repo
- >
git push
"git@github.com:BigBodyCobain/Shadowbroker.git"
"https://x-access-token:${GITHUB_MIRROR_TOKEN}@github.com/BigBodyCobain/Shadowbroker.git"
"${CI_COMMIT_SHA}:refs/heads/main"
rules:
- if: $CI_COMMIT_BRANCH == "main" && $GITHUB_MIRROR_SSH_KEY
- if: $CI_COMMIT_BRANCH == "main" && $GITHUB_MIRROR_TOKEN
+1 -2
View File
@@ -44,8 +44,7 @@ These sources have their own terms; consult each link before redistributing.
| aisstream.io | https://aisstream.io | Free-tier API terms (attribution required) | AIS vessel positions |
| Global Fishing Watch | https://globalfishingwatch.org | CC BY 4.0 (for public data) | Fishing activity events |
| Microsoft Planetary Computer | https://planetarycomputer.microsoft.com | Sentinel-2 / ESA Copernicus terms | Sentinel-2 imagery |
| Copernicus CDSE (Sentinel Hub) | https://dataspace.copernicus.eu | ESA Copernicus open data terms | SAR + optical imagery, optional road-corridor truck trends |
| DrishX / Fisser et al. 2022 | https://github.com/sparkyniner/DRISH-X-Satellite-powered-freight-intelligence- | MIT (engine); research methodology attribution | Sentinel-2 motion-smear truck detection on major roads (opt-in) |
| Copernicus CDSE (Sentinel Hub) | https://dataspace.copernicus.eu | ESA Copernicus open data terms | SAR + optical imagery |
| Shodan | https://www.shodan.io | Operator-supplied API key, Shodan ToS | Internet device search |
| Smithsonian GVP | https://volcano.si.edu | Attribution required | Volcanoes |
| OpenAQ | https://openaq.org | CC BY 4.0 | Air quality stations |
+21 -134
View File
@@ -19,7 +19,7 @@
**ShadowBroker** is a decentralized intelligence platform that aggregates real-time, multi-domain OSINT telemetry from 60+ live intelligence feeds into a single dark-ops map interface. Aircraft, ships, satellites, conflict zones, CCTV networks, GPS jamming, internet-connected devices, police scanners, mesh radio nodes, and breaking geopolitical events — all updating in real time on one screen as well as an obfuscated communications protocol and information exchange infrastructure.
Built with **Next.js**, **MapLibre GL**, **FastAPI**, and **Python**. 40+ toggleable data layers, including SAR ground-change detection, **Telegram OSINT** (public channel previews geoparsed onto the map), a **server-side recon toolkit** (DNS, WHOIS, sanctions, BGP, IP sweep, and more), supply-chain risk overlays, and malware/C2 + CISA KEV cyber threat feeds. Multiple visual modes (DEFAULT / SATELLITE / FLIR / NVG / CRT). Right-click any point on Earth for a country dossier, head-of-state lookup, entity-graph expansion, and the latest Sentinel-2 satellite photo. ShadowBroker has no accounts, product telemetry, or analytics; the dashboard talks to your self-hosted backend. Sensitive recon and Shodan queries never hit third-party APIs from the browser — they are proxied through the backend with SSRF guards and local-operator auth. The **OpenClaw / agent command channel** exposes the same recon backends plus full telemetry search — no separate API integration required.
Built with **Next.js**, **MapLibre GL**, **FastAPI**, and **Python**. 35+ toggleable data layers, including SAR ground-change detection. Multiple visual modes (DEFAULT / SATELLITE / FLIR / NVG / CRT). Right-click any point on Earth for a country dossier, head-of-state lookup, and the latest Sentinel-2 satellite photo. No user data is collected or transmitted — the dashboard runs entirely in your browser against a self-hosted backend.
Designed for analysts, researchers, radio operators, and anyone who wants to see what the world looks like when every public signal is on the same map.
@@ -28,20 +28,18 @@ Designed for analysts, researchers, radio operators, and anyone who wants to see
A surprising amount of global telemetry is already public — aircraft ADS-B broadcasts, maritime AIS signals, satellite orbital data, earthquake sensors, mesh radio networks, police scanner feeds, environmental monitoring stations, internet infrastructure telemetry, and more. This data is scattered across dozens of tools and APIs. ShadowBroker combines all of it into a single interface.
The project does not introduce new surveillance capabilities — it aggregates and visualizes existing public datasets. It is fully open-source so anyone can audit exactly what data is accessed and how. ShadowBroker does not include product telemetry, analytics, or accounts. Operator-supplied keys stay in your local deployment, but live OSINT features necessarily make outbound requests to the public data providers you enable or query.
The project does not introduce new surveillance capabilities — it aggregates and visualizes existing public datasets. It is fully open-source so anyone can audit exactly what data is accessed and how. No user data is collected or transmitted — everything runs locally against a self-hosted backend. No telemetry, no analytics, no accounts.
### Shodan & Recon (security-first)
### Shodan Connector
ShadowBroker includes an optional **Shodan connector** for operator-supplied API access (`SHODAN_API_KEY`) and a **Recon Toolkit** panel for keyless OSINT lookups. Both run **server-side only**: the browser calls your self-hosted `/api/osint/*` and `/api/tools/shodan/*` routes; outbound requests are made by the backend after SSRF validation. Recon requires **local-operator** access (same trust model as layer toggles and admin routes). Shodan results render as a separate map overlay and remain subject to Shodans terms of service.
> **Not included:** embedded live-news YouTube grids or a built-in Gemini AI analyst panel — use the **OpenClaw / agent channel** for AI-assisted analysis instead.
ShadowBroker includes an optional Shodan connector for operator-supplied API access. Shodan results are fetched with your own `SHODAN_API_KEY`, rendered as a local investigative overlay (not merged into core feeds), and remain subject to Shodans terms of service.
---
## Interesting Use Cases
* **Track Air Force One**, the private jets of billionaires and dictators, and every military tanker, ISR, and fighter broadcasting ADS-B. Air Force One and all of the accompanying Presidential/Vice Presidential planes are highlighted and monitored from the moment they leave the ground.
* **Connect an AI agent as a co-analyst** through ShadowBroker's HMAC-signed agentic command channel — supports OpenClaw and any other agent that speaks the protocol (Claude, GPT, LangChain, custom). The agent gets full read/write access to all 40+ data layers, compact cross-layer search (`search_telemetry`, `search_news`), the full recon toolkit (`osint_lookup` for IP/DNS/WHOIS/sanctions/CVE/etc.), entity-graph expansion, pin placement, map control, SAR ground-change, mesh networking, and alert delivery. It sees everything the operator sees and can take actions on the map in real time.
* **Connect an AI agent as a co-analyst** through ShadowBroker's HMAC-signed agentic command channel — supports OpenClaw and any other agent that speaks the protocol (Claude, GPT, LangChain, custom). The agent gets full read/write access to all 35+ data layers, pin placement, map control, SAR ground-change, mesh networking, and alert delivery. It sees everything the operator sees and can take actions on the map in real time.
* **Communicate on the InfoNet testnet** — The first decentralized intelligence mesh built into an OSINT tool. Obfuscated messaging with gate personas, Dead Drop peer-to-peer exchange, and a built-in terminal CLI. No accounts, no signup. Privacy is not guaranteed yet — this is an experimental testnet — but the protocol is live and being hardened.
* **Right-click anywhere on Earth** for a country dossier (head of state, population, languages), Wikipedia summary, and the latest Sentinel-2 satellite photo at 10m resolution
* **Click a KiwiSDR node** and tune into live shortwave radio directly in the dashboard. Click a police scanner feed and eavesdrop in one click.
@@ -57,12 +55,6 @@ ShadowBroker includes an optional **Shodan connector** for operator-supplied API
* **Track trains** across the US (Amtrak) and Europe (DigiTraffic) in real time
* **Estimate where US aircraft carriers are** using automated GDELT news scraping — no other open tool does this
* **Search internet-connected devices worldwide** via Shodan — cameras, SCADA systems, databases — plotted as a live overlay on the map
* **Run a full recon toolkit** from the left sidebar — IP geolocation, DNS, RDAP/WHOIS, certificate transparency, BGP/ASN, OFAC sanctions search, CVE lookup, Tor/OTX threat checks, and subnet sweeps (InternetDB proxied server-side)
* **Expand an entity graph** when you select an aircraft, vessel, company, or IP — Wikidata + OFAC + live store cross-links rendered in the Entity Graph panel
* **Monitor supply-chain risk** — Tier 1/2 semiconductor and battery fabs scored against nearby earthquakes, wildfires, and conflict events (SCM panel)
* **Toggle malware C2 hotspots** — abuse.ch Feodo Tracker + URLhaus feeds mapped by country (opt-in layer)
* **Monitor Telegram OSINT channels** — public `t.me/s` war/conflict feeds (OSINTdefender, NEXTA, etc.) scraped hourly, risk-scored, geoparsed to metro anchors, and plotted as clickable map pins with inline media
* **Overlay global submarine cables** — static TeleGeography-derived cable routes (opt-in layer)
---
@@ -121,20 +113,6 @@ That's it. `pull` grabs the latest images, `up -d` restarts the containers.
>
> Podman users should run the equivalent provider command, for example `podman-compose pull` and `podman-compose up -d`, or use `./compose.sh --engine podman pull` and `./compose.sh --engine podman up -d` from a bash-compatible shell.
### Update Integrity
Docker updates are delivered through signed container registries. The legacy ZIP self-updater verifies release archives through this chain, in order:
* `MESH_UPDATE_SHA256` when an operator pins a digest explicitly.
* `backend/data/release_digests.json` for bundled release pins.
* The release `SHA256SUMS.txt` asset on GitHub when a bundled pin is not present.
Release maintainers should run `python backend/scripts/release_helper.py hash <ShadowBroker_vX.Y.Z.zip>` before publishing, then publish `SHA256SUMS.txt` and update `backend/data/release_digests.json` when shipping a ZIP updater target. The updater keeps the operator override path intact instead of failing closed on missing bundled digests, so existing installs do not get stranded by a release-process mistake.
### CSP Hardening
The production frontend ships with a hydration-compatible CSP and a strict nonce-only CSP in `Content-Security-Policy-Report-Only`. Set `SHADOWBROKER_STRICT_CSP=1` only after verifying the exact build hydrates correctly in your deployment. Runtime Google Fonts are not required; the bundled Next font pipeline serves the dashboard font from the app build.
### ⚠️ **Stuck on the old version?**
**If `git pull` fails or `docker compose up` keeps building from source instead of pulling images**, your clone predates a March 2026 repository migration that rewrote commit history. A normal `git pull` cannot fix this. Run:
@@ -196,7 +174,7 @@ ShadowBroker v0.9.7 ships **InfoNet** (decentralized intelligence mesh + Soverei
| Channel | Privacy Status | Details |
|---|---|---|
| **Meshtastic / APRS** | **PUBLIC** | RF radio transmissions are public and interceptable by design. |
| **InfoNet Gate Chat** | **OBFUSCATED** | Messages are obfuscated with gate personas and canonical payload signing, but NOT end-to-end encrypted. Metadata is not hidden despite being designed through Tor and Reticulum (Work in progress). |
| **InfoNet Gate Chat** | **OBFUSCATED** | Messages are obfuscated with gate personas and canonical payload signing, but NOT end-to-end encrypted. Metadata is not hidden. |
| **Dead Drop DMs** | **STRONGEST CURRENT LANE** | Token-based epoch mailbox with SAS word verification. Strongest lane in this build, but not yet confidently private. |
| **Sovereign Shell governance** | **PUBLIC LEDGER** | Petitions, votes, upgrade hashes, and dispute stakes are signed events on a public hashchain. Pseudonymous via gate persona, but governance actions are intentionally observable. |
| **Privacy primitives (RingCT / stealth / DEX)** | **NOT YET WIRED** | Locked Protocol contracts are in place, but the cryptographic scheme has not been chosen. The privacy-core Rust crate is the integration target for a future sprint. |
@@ -221,7 +199,7 @@ The first decentralized intelligence communication and governance layer built di
**Communication layer (since v0.9.6):**
* **InfoNet Experimental Testnet** — A global, obfuscated message relay using Tor and Reticulum. Anyone running ShadowBroker can transmit and receive on the InfoNet. Messages pass through a Wormhole relay layer with gate personas, Ed25519 canonical payload signing, and transport obfuscation.
* **InfoNet Experimental Testnet** — A global, obfuscated message relay. Anyone running ShadowBroker can transmit and receive on the InfoNet. Messages pass through a Wormhole relay layer with gate personas, Ed25519 canonical payload signing, and transport obfuscation.
* **Mesh Chat Panel** — Three-tab interface: **INFONET** (gate chat with obfuscated transport), **MESH** (Meshtastic radio integration), **DEAD DROP** (peer-to-peer message exchange with token-based epoch mailboxes — strongest current lane).
* **Gate Persona System** — Pseudonymous identities with Ed25519 signing keys, prekey bundles, SAS word contact verification, and abuse reporting.
* **Mesh Terminal** — Built-in CLI: `send`, `dm`, market commands, gate state inspection. Draggable panel, minimizes to the top bar. Type `help` to see all commands.
@@ -241,34 +219,17 @@ The first decentralized intelligence communication and governance layer built di
**Privacy primitive runway (NEW in v0.9.7):**
* **Function Keys — Anonymous Credential Scaffolding** — The plumbing is in place for nullifiers, challenge-response, two-phase commit receipts, enumerated denial codes, and batched settlement. Today's challenge-response is an HMAC-based placeholder for integration testing, not a production anonymous or zero-knowledge citizenship proof. True unlinkable issuance still waits on a primitive decision (RSA blind sigs vs BBS+ vs U-Prove vs Idemix).
* **Function Keys — Anonymous Citizenship Proof** — A citizen proves "I am an Infonet citizen" without revealing their Infonet identity. 5 of 6 pieces shipped: nullifiers, challenge-response, two-phase commit receipts, enumerated denial codes, batched settlement. Issuance via blind signatures waits on a primitive decision (RSA blind sigs vs BBS+ vs U-Prove vs Idemix).
* **Locked Protocol Contracts** — Stable interfaces in `services/infonet/privacy/contracts.py` for ring signatures, stealth addresses, Pedersen commitments, range proofs, and DEX matching. The `privacy-core` Rust crate is the integration target — no caller of the privacy module needs to know which scheme is active.
* **Sprint 11+ Path** — When the cryptographic scheme is chosen, primitives wire into the locked Protocols without API churn.
> **Experimental Testnet — No Privacy Guarantee:** InfoNet messages are obfuscated but NOT end-to-end encrypted. The Mesh network (Meshtastic/APRS) is NOT private — radio transmissions are inherently public. The privacy primitive contracts are scaffolded but not yet wired. Do not send anything sensitive on any channel. Treat all channels as open and public for now.
### 🔍 Recon Toolkit & Shodan (Osiris-derived, security-first)
### 🔍 Shodan Device Search (NEW in v0.9.6)
Adapted from the [OSIRIS](https://github.com/simplifaisoul/osiris) recon stack (MIT) with ShadowBrokers proxy model. Attribution: `backend/third_party/osiris/NOTICE.md`.
**Recon Toolkit** (left sidebar — local operator only):
* **IP / DNS / WHOIS** — ip-api.com geolocation, Google DNS-over-HTTPS, RDAP registrant data with optional HTTP security header scoring
* **Certificates & BGP** — crt.sh subdomain discovery, bgpview.io ASN/prefix lookups
* **Threat intel** — AlienVault OTX pulses, Tor exit-node checks, optional per-IP/domain reputation
* **Sanctions** — OpenSanctions `us_ofac_sdn` index (CC-BY); cross-checks on WHOIS entities and IP ISP/org strings
* **CVE / MAC / GitHub / leaks** — MITRE CVE API, MAC vendor lookup, GitHub profile recon, public breach checks
* **IP sweep** — `/api/osint/sweep/scan` geolocates a target /24/32 and proxies Shodan InternetDB host discovery server-side (browser never contacts InternetDB directly)
* **SSRF guard** — Private, loopback, link-local, and metadata hostnames are blocked before any user-supplied fetch
**Entity graph** — Select any map entity to open the Entity Graph panel (`GET /api/entity/expand`). Resolves aircraft, vessels, companies, persons, IPs, and countries into a node/link graph (Wikidata SPARQL + OFAC + in-memory flight/ship store).
**OpenClaw / agent access** — The same recon backends are available on the HMAC command channel (no browser local-operator gate): `osint_lookup` (passive IP/DNS/WHOIS/certs/BGP/sanctions/CVE/MAC/GitHub/leaks/threats), `entity_expand` (relationship graph), and `osint_sweep` (active subnet scan — **full** access tier only). Call `osint_tools` to list supported lookup types. Skill package: `openclaw-skills/shadowbroker/` (`SKILL.md` + `sb_query.py`).
**Shodan overlay** (unchanged):
* **Internet Device Search** — Query Shodan with your own API key; results plotted as a live overlay
* **Internet Device Search** — Query Shodan directly from ShadowBroker. Search by keyword, CVE, port, or service — results plotted as a live overlay on the map
* **Configurable Markers** — Shape, color, and size customization for Shodan results
* **Operator-Supplied API** — Uses your own `SHODAN_API_KEY`; results rendered as a local investigative overlay
### 🛩️ Aviation Tracking
@@ -356,12 +317,11 @@ Adapted from the [OSIRIS](https://github.com/simplifaisoul/osiris) recon stack (
### 📷 Surveillance
* **CCTV Mesh** — 22,000+ live traffic cameras from 21 ingestors across 10 countries (US, UK, Canada, Australia, Austria, Spain, Singapore, Netherlands when NDW feed is up, plus OSM):
* **CCTV Mesh** — 11,000+ live traffic cameras from 13 sources across 6 countries:
* 🇬🇧 Transport for London JamCams
* 🇺🇸 NYC DOT, Austin TX (TxDOT)
* 🇺🇸 California (12 Caltrans districts), Washington State (WSDOT), Georgia DOT, Illinois DOT, Michigan DOT
* 🇪🇸 Spain DGT National (20 cities), Madrid City (357 cameras via KML)
* 🇦🇹 Austria ASFINAG motorway webcams
* 🇸🇬 Singapore LTA
* 🌍 Windy Webcams
* **Feed Rendering** — Automatic detection & rendering of video, MJPEG, HLS, embed, satellite tile, and image feeds
@@ -382,12 +342,6 @@ Adapted from the [OSIRIS](https://github.com/simplifaisoul/osiris) recon stack (
* **Data Center Mapping** — 2,000+ global data centers plotted from a curated dataset. Clustered purple markers with server-rack icons. Click for operator, location, and automatic internet outage cross-referencing by country.
* **Military Bases** — Global military installation and missile facility database (NEW)
* **Power Plants** — 35,000+ global power plants from the WRI database (NEW)
* **Submarine Cables** — Global undersea cable routes from static TeleGeography-derived GeoJSON (`frontend/public/data/submarine-cables.json`). Opt-in line overlay.
* **Malware C2 Layer** — Botnet C2 servers (Feodo Tracker) and recent malware URLs (URLhaus) from abuse.ch, refreshed on the slow tier when the layer is enabled.
* **SCM Supplier Risk** — Tier 1/2 fabs and battery plants (TSMC, Samsung, CATL, etc.) cross-referenced against earthquakes, FIRMS fires, and GDELT conflict proximity. Alerts in the SCM panel; optional map layer.
* **Cyber Threats Feed** — Recent CISA Known Exploited Vulnerabilities (KEV) entries exposed via `/api/cyber-threats` and the layer toggle.
* **Country Risk Index** — Static geopolitical risk scores with USGS earthquake enrichment via `/api/country-risk`.
* **Telegram OSINT** — Public channel web previews (`t.me/s/*`) from configurable war/OSINT feeds. Hourly incremental merge (no redundant re-scrape), keyword risk scoring, Cyrillic/Arabic place aliases, metro-anchor geocoding (separate from news centroids), inline photo/video via `/api/telegram/media` proxy. Layer key: `telegram_osint`.
### 🌐 Additional Layers & Tools
@@ -413,9 +367,7 @@ v0.9.7 turns ShadowBroker from a dashboard a human watches into an intelligence
**Capabilities:**
* **Full Telemetry Access** — The agent queries all 40+ data layers: flights, ships, satellites, SIGINT, conflict events, earthquakes, fires, wastewater, **Telegram OSINT**, malware/C2, **CISA KEV cyber threats**, SCM overlays, fishing activity (GFW), prediction markets, and more. Fast and slow tier endpoints return enriched data with geographic coordinates, timestamps, and source attribution.
* **Compact Search (preferred over full dumps)** — `get_summary``get_layer_slice` with per-layer `since_layer_versions` (SSE `layer_changed` push tells the agent exactly which layers updated). `search_telemetry` is the Google-style cross-layer keyword index. `search_news` covers news, GDELT, CrowdThreat, LiveUAMap, frontlines, and Telegram posts. `entities_near`, `brief_area`, `find_flights`/`find_ships`/`find_entity`, and `correlate_entity` answer targeted questions without multi-megabyte pulls.
* **Recon Toolkit on the Channel** — `osint_lookup` runs the same SSRF-guarded backends as the Recon panel (`ip`, `dns`, `whois`, `certs`, `bgp`, `sanctions`, `cve`, `mac`, `github`, `leaks`, `threats`, `sweep_init`). `entity_expand` builds Wikidata + OFAC relationship graphs. `osint_sweep` runs Shodan InternetDB subnet discovery (**full** tier). Layer aliases: `telegram`, `malware`/`botnet`, `cyber`/`cisa`/`kev`, `scm`/`suppliers`, `gfw`/`fishing`.
* **Full Telemetry Access** — The agent queries all 35+ data layers: flights, ships, satellites, SIGINT, conflict events, earthquakes, fires, wastewater, prediction markets, and more. Fast and slow tier endpoints return enriched data with geographic coordinates, timestamps, and source attribution.
* **AI Intel Pins** — Place color-coded investigation markers directly on the operator's map. 14 pin categories (threat, anomaly, military, maritime, aviation, SIGINT, infrastructure, etc.) with confidence scores, TTL expiry, source URLs, and batch placement up to 100 pins at once.
* **Map Control** — Fly the operator's map view to any coordinate, trigger satellite imagery lookups, and open region dossiers. The agent can direct the operator's attention to specific locations in real time.
* **SAR Ground-Change** — Query SAR anomaly feeds, inspect pin details, manage AOIs, and fly the map to watch areas. The agent can monitor for ground deformation, flood extent, or damage and promote anomalies to pins.
@@ -428,7 +380,7 @@ v0.9.7 turns ShadowBroker from a dashboard a human watches into an intelligence
* **Intelligence Reports** — Generate structured reports with summary stats, top military flights, correlations, earthquake activity, SIGINT counts, and pin inventories.
* **Auditable** — Every channel call is logged; the operator can introspect what the agent has done.
**Connect an agent:** Open the AI Intel panel in the left sidebar, click **Connect Agent**, and copy the HMAC secret. From there, point any compatible agent at the channel — for OpenClaw, import `ShadowBrokerClient` from `openclaw-skills/shadowbroker/sb_query.py` (see `SKILL.md` for examples); for any other agent, use the same HMAC contract documented above (timestamp + nonce + body digest, tier-gated). Discovery: `GET /api/ai/tools` and `GET /api/ai/capabilities`. The channel is the protocol, not the agent.
**Connect an agent:** Open the AI Intel panel in the left sidebar, click **Connect Agent**, and copy the HMAC secret. From there, point any compatible agent at the channel — for OpenClaw, import `ShadowBrokerClient` from the OpenClaw skill package; for any other agent, use the same HMAC contract documented above (timestamp + nonce + body digest, tier-gated). The channel is the protocol, not the agent.
### ⏱️ Time Machine — Snapshot Playback (NEW in v0.9.7)
@@ -577,20 +529,9 @@ ShadowBroker v0.9.7 is composed of three vertically-stacked planes — the **Ope
| [GDELT Project](https://www.gdeltproject.org) | Global conflict events | ~6h | No |
| [DeepState Map](https://deepstatemap.live) | Ukraine frontline | ~30min | No |
| [Shodan](https://www.shodan.io) | Internet-connected device search | On-demand | **Yes** |
| [OpenSanctions](https://www.opensanctions.org) | OFAC SDN sanctions index (recon + entity graph) | 24h cache | No |
| [abuse.ch Feodo + URLhaus](https://abuse.ch) | Malware C2 / distribution URLs | ~5min (opt-in layer) | No |
| [CISA KEV](https://www.cisa.gov/known-exploited-vulnerabilities-catalog) | Known exploited CVEs | ~5min (opt-in layer) | No |
| [ip-api.com](https://ip-api.com) | IP geolocation (recon, entity graph) | On-demand | No |
| [Google Public DNS](https://dns.google) | DNS-over-HTTPS lookups (recon) | On-demand | No |
| [RDAP.org](https://rdap.org) | Domain registration data (recon) | On-demand | No |
| [crt.sh](https://crt.sh) | Certificate transparency (recon) | On-demand | No |
| [bgpview.io](https://bgpview.io) | BGP/ASN routing (recon) | On-demand | No |
| TeleGeography (static) | Submarine cable routes | Static | No |
| [ASFINAG](https://www.asfinag.at) | Austria motorway webcams | ~10min | No |
| [Amtrak](https://www.amtrak.com) | US train positions | ~60s | No |
| [DigiTraffic](https://www.digitraffic.fi) | European rail positions | ~60s | No |
| [Global Fishing Watch](https://globalfishingwatch.org) | Fishing vessel activity events | ~1hr | **Yes** (`GFW_API_TOKEN`) |
| [Telegram public previews](https://t.me/s) | War/OSINT channel posts (`telegram_osint`) | ~1hr | No (optional `TELEGRAM_OSINT_CHANNELS`) |
| [Global Fishing Watch](https://globalfishingwatch.org) | Fishing vessel activity events | ~10min | No |
| Transport for London, NYC DOT, TxDOT | CCTV cameras (UK, US) | ~10min | No |
| Caltrans, WSDOT, GDOT, IDOT, MDOT | CCTV cameras (5 US states) | ~10min | No |
| Spain DGT, Madrid City | CCTV cameras (Spain) | ~10min | No |
@@ -622,8 +563,6 @@ ShadowBroker v0.9.7 is composed of three vertically-stacked planes — the **Ope
| [OSM Nominatim](https://nominatim.openstreetmap.org) | Place name geocoding (LOCATE bar) | On-demand | No |
| [CARTO Basemaps](https://carto.com) | Dark map tiles | Continuous | No |
**Outbound privacy & audit (#348#366):** Each self-hosted install uses its own backend IP and per-install User-Agent handle. See [docs/OUTBOUND_DATA.md](docs/OUTBOUND_DATA.md) for what contacts third parties, opt-in/env controls, and accepted tradeoffs (CCTV Referer, basemap CDN, LiveUAMap, etc.).
---
## 🚀 Getting Started
@@ -645,16 +584,9 @@ Open `http://localhost:3000` to view the dashboard.
> **Deploying publicly or on a LAN?** No configuration needed for most setups.
> The frontend proxies all API calls through the Next.js server to `BACKEND_URL`,
> which defaults to `http://backend:8000` (Docker internal networking).
> Host port `8000` is only published for local API/debug access (`127.0.0.1:8000`
> in `docker-compose.yml`). If it conflicts with another service, set
> `BACKEND_PORT=8001` in `.env`; leave `BACKEND_URL` as `http://backend:8000`
> because that is the Docker-internal port.
>
> **Running the backend outside Docker** (`cd backend && python main.py`):
> the dev server binds **loopback only** (`127.0.0.1:8000`) so other machines on
> your LAN cannot hit admin/local-trust routes with an empty `ADMIN_KEY`. Set
> `SHADOWBROKER_DEV_BIND_ALL=true` in `.env` only when you deliberately need
> `0.0.0.0` and use a strong `ADMIN_KEY` for any non-local callers.
> Host port `8000` is only published for local API/debug access. If it conflicts
> with another service, set `BACKEND_PORT=8001` in `.env`; leave `BACKEND_URL`
> as `http://backend:8000` because that is the Docker-internal port.
> The backend memory cap is controlled by `BACKEND_MEMORY_LIMIT` and defaults
> to `4G`. If Docker reports OOM events, the backend will restart and slow
> layers can look empty until they repopulate.
@@ -866,7 +798,7 @@ AIS-catcher decodes VHF radio signals on 161.975 MHz and 162.025 MHz and POSTs d
## 🎛️ Data Layers
All 41 layers are independently toggleable from the left panel:
All 37 layers are independently toggleable from the left panel:
| Layer | Default | Description |
|---|---|---|
@@ -908,24 +840,6 @@ All 41 layers are independently toggleable from the left panel:
| VIIRS Nightlights | ❌ OFF | Night-time light change detection |
| Power Plants | ❌ OFF | 35,000+ global power plants |
| Shodan Overlay | ❌ OFF | Internet device search results |
| Road Freight Trends | ❌ OFF | Sentinel-2 truck-motion trends on major highways (Analyze Here) |
| Submarine Cables | ❌ OFF | Global undersea cable routes (static GeoJSON) |
| Malware C2 | ❌ OFF | abuse.ch Feodo + URLhaus threat points |
| SCM Suppliers | ❌ OFF | Tier 1/2 supply-chain risk markers + panel alerts |
| Cyber Threats | ❌ OFF | Recent CISA KEV entries (stats in slow-tier payload) |
| Telegram OSINT | ✅ ON | Public war/OSINT Telegram channels — hourly scrape, geoparsed pins |
| SAR | ✅ ON | Synthetic aperture radar catalog + anomaly alerts |
**Recon & entity tools** (not map layers — left sidebar / selection):
| Tool | Dashboard access | OpenClaw command | Description |
|---|---|---|---|
| Recon Toolkit | Local operator (`/api/osint/*`) | `osint_lookup`, `osint_sweep`† | IP, DNS, WHOIS, certs, BGP, sanctions, CVE, MAC, GitHub, leaks, threats, subnet sweep |
| Entity Graph | Local operator (`/api/entity/expand`) | `entity_expand` | Wikidata + OFAC + live-store relationship graph |
| SCM Risk panel | Local operator (`/api/scm-suppliers`) | `get_layer_slice(["scm_suppliers"])` | Supplier threat rollup + map markers |
| Tool discovery | — | `osint_tools` | Lists recon lookup types and entity-expand schemas |
† `osint_sweep` (active InternetDB scan) requires `OPENCLAW_ACCESS_TIER=full`.
---
@@ -949,7 +863,6 @@ The platform is optimized for handling massive real-time datasets:
```
Shadowbroker/
├── openclaw-skills/shadowbroker/ # OpenClaw skill — SKILL.md, sb_query.py client, alerts/monitor helpers
├── backend/
│ ├── main.py # FastAPI app, middleware, API routes (~4,000 lines)
│ ├── cctv.db # SQLite CCTV camera database (auto-generated)
@@ -959,18 +872,7 @@ Shadowbroker/
│ │ ├── data_fetcher.py # Core scheduler — orchestrates all data sources
│ │ ├── ais_stream.py # AIS WebSocket client (25K+ vessels)
│ │ ├── carrier_tracker.py # OSINT carrier position estimator (GDELT news scraping)
│ │ ├── cctv_pipeline.py # 14-source CCTV camera ingestion pipeline
│ │ ├── ssrf_guard.py # SSRF validation for operator recon fetches
│ │ ├── sanctions/ofac.py # OpenSanctions OFAC SDN index
│ │ ├── osint/lookups.py # Server-side recon lookups (Osiris port)
│ │ ├── osint/openclaw_recon.py # OpenClaw dispatch for recon + entity_expand
│ │ ├── osint_intel/resolve.py # Entity graph resolver (Wikidata + OFAC)
│ │ ├── scm/suppliers.py # Supply-chain risk overlay
│ │ ├── intel_feeds/ # Country risk index helpers
│ │ ├── fetchers/malware.py # abuse.ch Feodo + URLhaus
│ │ ├── fetchers/cyber_status.py # CISA KEV feed
│ │ ├── fetchers/telegram_osint.py # Public Telegram channel scrape + geoparse
│ │ ├── third_party/osiris/ # MIT attribution for Osiris-derived code
│ │ ├── cctv_pipeline.py # 13-source CCTV camera ingestion pipeline
│ │ ├── geopolitics.py # GDELT + Ukraine frontline + air alerts
│ │ ├── region_dossier.py # Right-click country/city intelligence
│ │ ├── radio_intercept.py # Police scanner feeds + OpenMHZ
@@ -1008,14 +910,7 @@ Shadowbroker/
│ │ ├── mesh_reputation.py # Node reputation scoring
│ │ ├── mesh_oracle.py # Oracle consensus protocol
│ │ └── mesh_secure_storage.py # Secure credential storage
│ ├── routers/
│ │ ├── osint.py # /api/osint/* recon routes (local operator)
│ │ ├── entity_graph.py # /api/entity/expand
│ │ ├── scm.py # /api/scm-suppliers
│ │ └── intel_feeds.py # /api/malware, /api/cyber-threats, /api/telegram-feed, /api/country-risk
├── frontend/
│ ├── public/data/
│ │ └── submarine-cables.json # Static undersea cable GeoJSON
│ ├── src/
│ │ ├── app/
│ │ │ └── page.tsx # Main dashboard — state, polling, layout
@@ -1024,12 +919,7 @@ Shadowbroker/
│ │ ├── MeshChat.tsx # InfoNet / Mesh / Dead Drop chat panel
│ │ ├── MeshTerminal.tsx # Draggable CLI terminal
│ │ ├── NewsFeed.tsx # SIGINT feed + entity detail panels
│ │ ├── WorldviewLeftPanel.tsx # Data layer toggles (40+ layers)
│ │ ├── ShodanPanel.tsx # Shodan device search overlay
│ │ ├── ReconPanel.tsx # Server-side OSINT recon toolkit
│ │ ├── ScmPanel.tsx # Supply-chain risk command panel
│ │ ├── EntityGraphPanel.tsx # Entity graph on map selection
│ │ ├── MaplibreViewer/popups/TelegramOsintPopup.tsx # Threat-intercept styled Telegram pin popups
│ │ ├── WorldviewLeftPanel.tsx # Data layer toggles (35+ layers)
│ │ ├── WorldviewRightPanel.tsx # Search + filter sidebar
│ │ ├── AdvancedFilterModal.tsx # Airport/country/owner filtering
│ │ ├── MapLegend.tsx # Dynamic legend with all icons
@@ -1066,9 +956,6 @@ MESH_SAR_EARTHDATA_TOKEN= # NASA Earthdata token (paired wit
MESH_SAR_COPERNICUS_USER= # Copernicus Data Space user (SAR Mode B — EGMS / EMS)
MESH_SAR_COPERNICUS_TOKEN= # Copernicus token (paired with user above)
OPENCLAW_ACCESS_TIER=restricted # OpenClaw agent tier: "restricted" (read-only) or "full"
GFW_API_TOKEN=your_gfw_token # Global Fishing Watch — fishing_activity layer (Settings → Maritime)
TELEGRAM_OSINT_ENABLED=true # Telegram OSINT layer (default on)
TELEGRAM_OSINT_CHANNELS=osintdefender,... # Comma-separated public channel slugs (see .env.example)
# Private-lane privacy-core pinning (required when Arti or RNS is enabled)
PRIVACY_CORE_MIN_VERSION=0.1.0
+11 -75
View File
@@ -11,22 +11,6 @@ AIS_API_KEY= # https://aisstream.io/ — free tier WebSocket key
# ── Optional ───────────────────────────────────────────────────
# AISHub REST fallback. Used when stream.aisstream.io is unreachable
# (e.g. their cert expires or server goes offline). Free tier requires
# registration at https://www.aishub.net/api. Poll cadence defaults to
# 20 min to stay courteous; tunable via AISHUB_POLL_INTERVAL_MINUTES.
# AISHUB_USERNAME=
# AISHUB_POLL_INTERVAL_MINUTES=20
# `python main.py` (uvicorn reload) binds 127.0.0.1:8000 by default so LAN clients
# cannot reach a dev server with empty ADMIN_KEY (#375). Set true only when you
# intentionally need 0.0.0.0 and understand the local-trust implications.
# SHADOWBROKER_DEV_BIND_ALL=false
#
# Thread pool for GDELT, LiveUAMap, CCTV ingest, and slow-tier refresh batches.
# Keeps heavy jobs from starving fast flight/ship workers (default 2).
# SHADOWBROKER_HEAVY_FETCH_WORKERS=2
# Override allowed CORS origins (comma-separated). Defaults to localhost + LAN auto-detect.
# CORS_ORIGINS=http://192.168.1.50:3000,https://my-domain.com
@@ -40,24 +24,14 @@ AIS_API_KEY= # https://aisstream.io/ — free tier WebSocket key
# Requires MESH_DEBUG_MODE=true; do not enable this for ordinary use.
# ALLOW_INSECURE_ADMIN=false
# Per-install operator handle. Round 7a: outbound third-party API calls send
# this handle as the User-Agent (e.g. operator-7f3a92), not a shared app name,
# so upstreams rate-limit one install instead of blocking every user.
#
# Default empty -> a stable pseudonymous handle (e.g. "operator-7f3a92") is
# auto-generated on first run and persisted to backend/data/operator_handle.json.
# Operators who want a meaningful handle (real name, org, GitHub login) can
# set it here. Special characters are sanitized to dashes.
# OPERATOR_HANDLE=
# Default outbound User-Agent for all third-party HTTP fetchers.
# Project-generic by default — does NOT include any personal contact info or
# operator-specific identifier. Override only if you run a public relay and
# want upstreams to be able to reach you (e.g. Nominatim/OSM usage policy).
# SHADOWBROKER_USER_AGENT=ShadowBroker-OSINT/0.9 (contact: ops@example.com)
# Full User-Agent override (replaces the operator handle entirely). Rare;
# most installs should use OPERATOR_HANDLE only.
# SHADOWBROKER_USER_AGENT=
# Nominatim-specific User-Agent override (OSM usage policy). Leave unset to
# use the per-install handle (default) — set only if you have a registered
# Nominatim relay identity.
# NOMINATIM_USER_AGENT=
# User-Agent for Nominatim geocoding requests (per OSM usage policy).
# NOMINATIM_USER_AGENT=ShadowBroker/1.0
# ── Third-party fetcher opt-ins ────────────────────────────────
# These data sources phone home to politically/commercially sensitive
@@ -71,48 +45,20 @@ AIS_API_KEY= # https://aisstream.io/ — free tier WebSocket key
# FIMI_ENABLED=false
#
# Polymarket + Kalshi — US political/election prediction markets.
# Default off; enable from Global Threat Intercept (MKT toggle) or set true here.
# PREDICTION_MARKETS_ENABLED=false
# When enabled, polls use a jittered schedule (not the fixed 5-minute slow tier):
# PREDICTION_MARKETS_INTERVAL_MINUTES=7
# PREDICTION_MARKETS_SCHEDULER_JITTER_S=240
# PREDICTION_MARKETS_INITIAL_DELAY_MAX_S=180
# PREDICTION_MARKETS_PRE_FETCH_JITTER_S=90
# PREDICTION_MARKETS_PROVIDER_GAP_JITTER_S=45
# MESH_POLYMARKET_PAGE_DELAY_JITTER_S=0.08
# MESH_KALSHI_PAGE_DELAY_JITTER_S=0.2
#
# Finnhub fallback / yfinance — financial market data.
# Set FINNHUB_API_KEY to enable Finnhub, or set FINANCIAL_ENABLED=true to allow
# the unauthenticated yfinance fallback to call Yahoo Finance.
# FINANCIAL_ENABLED=false
#
# NUFORC UAP map layer — live scrape from nuforc.org (rolling window, default 60 days).
# Refreshed weekly (Mon 12:00 UTC); cache reused for up to 7 days between runs.
# NUFORC_RECENT_DAYS=60
# NUFORC_CACHE_TTL_HOURS=168
# On Windows, live scrape uses Python requests by default; optional:
# SHADOWBROKER_ENABLE_WINDOWS_CURL_FALLBACK=true
# NUFORC enrichment index (HF dataset) is separate — opt-in only:
# NUFORC UAP sightings — huggingface.co dataset download.
# NUFORC_ENABLED=false
#
# News RSS aggregator — defaults ON. Set to "false" to disable all
# configured news feeds (kill switch for the news layer).
# NEWS_ENABLED=true
# Global Fishing Watch — fishing vessel activity events (Fishing Activity map layer).
# Free API token from https://globalfishingwatch.org/our-apis/tokens
# Without this the fishing_activity layer stays empty.
# GFW_API_TOKEN=
# Optional tuning — GFW can return 40k+ global events; defaults cap fetch for map paint.
# GFW_EVENTS_PAGE_SIZE=500
# GFW_EVENTS_MAX_PAGES=10
# GFW_EVENTS_LOOKBACK_DAYS=7
# GFW_EVENTS_TIMEOUT_S=90
# Windy Webcams global CCTV layer — free key from https://api.windy.com/webcams/docs
# WINDY_API_KEY=
# LTA Singapore traffic cameras — leave blank to skip this data source.
# LTA_ACCOUNT_KEY=
@@ -120,12 +66,6 @@ AIS_API_KEY= # https://aisstream.io/ — free tier WebSocket key
# Free MAP_KEY from https://firms.modaps.eosdis.nasa.gov/map/#d:24hrs;@0.0,0.0,3.0z
# FIRMS_MAP_KEY=
# Ukraine frontline mirror (GitHub). Default follows cyterat/deepstate-map-data@main.
# Pin an immutable commit SHA so ingest cannot silently change if main is force-pushed (#362).
# Example (verify on GitHub before use): main @ b479954e94696bc5622c7818fd20a64a699f4fe8
# DEEPSTATE_MIRROR_COMMIT=b479954e94696bc5622c7818fd20a64a699f4fe8
# DEEPSTATE_MIRROR_REPO=cyterat/deepstate-map-data
# Ukraine air raid alerts from alerts.in.ua — free token from https://alerts.in.ua/
# ALERTS_IN_UA_TOKEN=
@@ -155,16 +95,12 @@ AIS_API_KEY= # https://aisstream.io/ — free tier WebSocket key
# can identify per-install traffic instead of aggregated "ShadowBroker" hits.
# Leave blank to send a generic UA. If you set MESHTASTIC_OPERATOR_CALLSIGN,
# it is included in outbound headers to meshtastic.org by default so they
# can rate-limit per-operator. Callsign is NOT sent upstream unless you opt in.
# can rate-limit per-operator. Set MESHTASTIC_SEND_CALLSIGN_HEADER=false to
# suppress the callsign while still using it locally (e.g. for APRS).
# MESHTASTIC_OPERATOR_CALLSIGN=
# MESHTASTIC_SEND_CALLSIGN_HEADER=false
# MESHTASTIC_SEND_CALLSIGN_HEADER=true
# MESH_MQTT_PSK= # hex-encoded, empty = default LongFast key
# LiveUAMap Playwright scraper (#348). Linux/macOS: on by default when Global
# Incidents layer is active. Windows: off until the operator enables Global
# Incidents in the UI (consent dialog) or sets SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=true.
# SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=false forces off on all platforms.
# ── Mesh / Reticulum (RNS) ─────────────────────────────────────
# Full-node / participant-node posture for public Infonet sync.
# MESH_NODE_MODE=participant # participant | relay | perimeter
+1 -1
View File
@@ -45,7 +45,7 @@ COPY uv.lock /workspace/uv.lock
COPY backend/pyproject.toml /workspace/backend/pyproject.toml
# Install Python dependencies using the lockfile
RUN cd /workspace/backend && uv sync --frozen --no-dev --extra road-corridor \
RUN cd /workspace/backend && uv sync --frozen --no-dev \
&& playwright install --with-deps chromium
# Copy backend source code
+36 -42
View File
@@ -45,7 +45,6 @@ from services.mesh.mesh_compatibility import (
from services.mesh.mesh_crypto import (
_derive_peer_key,
normalize_peer_url,
resolve_peer_key_for_url,
verify_signature,
verify_node_binding,
parse_public_key_algo,
@@ -113,14 +112,8 @@ def _scoped_admin_tokens() -> dict[str, list[str]]:
return normalized
def _request_scope_path(request: Request) -> str:
"""Return the ASGI request-line path, not the Host-derived URL path."""
scope = getattr(request, "scope", {}) or {}
return str(scope.get("path") or "")
def _required_scope_for_request(request: Request) -> str:
path = _request_scope_path(request)
path = str(request.url.path or "")
if path.startswith("/api/wormhole/gate/"):
return "gate"
if path.startswith("/api/wormhole/dm/"):
@@ -449,7 +442,7 @@ async def _verify_openclaw_hmac(request: Request) -> bool:
# Compute expected signature: HMAC-SHA256(secret, METHOD|path|ts|nonce|body_digest)
method = str(request.method or "").upper()
path = _request_scope_path(request)
path = str(request.url.path or "")
message = f"{method}|{path}|{ts_str}|{nonce}|{body_digest}"
expected = hmac.new(
secret.encode("utf-8"),
@@ -521,32 +514,33 @@ _KNOWN_COMPROMISED_PEER_PUSH_SECRET_SHA256 = (
def _validate_admin_startup() -> None:
admin_key = _current_admin_key()
if not admin_key:
logger.warning(
"ADMIN_KEY is not set. Local-operator/admin endpoints will reject "
"remote callers until ADMIN_KEY is configured."
)
return
if not admin_key or len(admin_key) < 32:
import secrets
if len(admin_key) < 32:
reason = f"too short ({len(admin_key)} chars, minimum 32)"
reason = "not set" if not admin_key else f"too short ({len(admin_key)} chars, minimum 32)"
new_key = secrets.token_hex(32) # 64-char hex string
try:
debug_mode = bool(getattr(get_settings(), "MESH_DEBUG_MODE", False))
except Exception:
debug_mode = False
if debug_mode:
logger.warning(
"ADMIN_KEY is %s. Debug mode is enabled, so startup will continue, "
"but production deployments must use a 32+ character key.",
from routers.ai_intel import _write_env_value
_write_env_value("ADMIN_KEY", new_key)
os.environ["ADMIN_KEY"] = new_key
logger.info(
"ADMIN_KEY was %s — auto-generated a strong 64-character key and "
"saved it to .env. Admin/mesh endpoints are now secured.",
reason,
)
return
logger.error(
"ADMIN_KEY is %s. Refusing to start because auto-generating a backend-only "
"replacement would desynchronize the frontend and backend containers.",
reason,
)
raise SystemExit(1)
# Clear settings cache so the rest of startup picks up the new key
try:
get_settings.cache_clear()
except Exception:
pass
except Exception as exc:
logger.warning(
"ADMIN_KEY is %s and could not auto-generate: %s. "
"Admin/mesh endpoints may be unavailable.",
reason,
exc,
)
def _validate_insecure_admin_startup() -> None:
@@ -749,7 +743,8 @@ def _is_debug_test_request(request: Request) -> bool:
if not _debug_mode_enabled():
return False
client_host = (request.client.host or "").lower() if request.client else ""
return client_host == "test"
url_host = (request.url.hostname or "").lower() if request.url else ""
return client_host == "test" or url_host == "test"
# ---------------------------------------------------------------------------
@@ -1401,19 +1396,18 @@ def _peer_hmac_url_from_request(request: Request) -> str:
header_url = normalize_peer_url(str(request.headers.get("x-peer-url", "") or ""))
if header_url:
return header_url
return ""
if not request.url:
return ""
base_url = f"{request.url.scheme}://{request.url.netloc}".rstrip("/")
return normalize_peer_url(base_url)
def _verify_peer_push_hmac(request: Request, body_bytes: bytes) -> bool:
"""Verify HMAC-SHA256 peer authentication on push requests.
"""Verify HMAC-SHA256 peer authentication on push requests."""
secret = str(get_settings().MESH_PEER_PUSH_SECRET or "").strip()
if not secret:
return False
Issue #256: ``resolve_peer_key_for_url`` looks up a per-peer secret
in ``MESH_PEER_SECRETS`` first, then falls back to the global
``MESH_PEER_PUSH_SECRET``. When a peer URL is listed in the per-peer
map, only the listed secret is accepted for it — the global secret
is ignored, so any peer that knows only the global secret cannot
forge a request claiming to be that peer.
"""
provided = str(request.headers.get("x-peer-hmac", "") or "").strip()
if not provided:
return False
@@ -1422,7 +1416,7 @@ def _verify_peer_push_hmac(request: Request, body_bytes: bytes) -> bool:
allowed_peers = set(authenticated_push_peer_urls())
if not peer_url or peer_url not in allowed_peers:
return False
peer_key = resolve_peer_key_for_url(peer_url)
peer_key = _derive_peer_key(secret, peer_url)
if not peer_key:
return False
+2 -2
View File
@@ -7,7 +7,7 @@
},
{
"name": "BBC",
"url": "https://feeds.bbci.co.uk/news/world/rss.xml",
"url": "http://feeds.bbci.co.uk/news/world/rss.xml",
"weight": 3
},
{
@@ -47,7 +47,7 @@
},
{
"name": "Xinhua",
"url": "https://www.news.cn/english/rss/worldrss.xml",
"url": "http://www.news.cn/english/rss/worldrss.xml",
"weight": 2
},
{
-120
View File
@@ -1,120 +0,0 @@
{
"_meta": {
"as_of": "2026-03-09",
"source": "USNI News Fleet & Marine Tracker",
"source_url": "https://news.usni.org/2026/03/09/usni-news-fleet-and-marine-tracker-march-9-2026",
"note": "One-shot bootstrap for first-run carrier positions. Once carrier_cache.json exists in the runtime data volume, this seed file is never read again. All subsequent updates come from GDELT (and any future sources) and are written to carrier_cache.json. A year from now, your runtime cache reflects whatever your install has observed since first launch — not these snapshot positions."
},
"carriers": {
"CVN-68": {
"lat": 47.5535,
"lng": -122.6400,
"heading": 90,
"desc": "Bremerton, WA (Maintenance)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-76": {
"lat": 47.5580,
"lng": -122.6360,
"heading": 90,
"desc": "Bremerton, WA (Decommissioning)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-69": {
"lat": 36.9465,
"lng": -76.3265,
"heading": 0,
"desc": "Norfolk, VA (Post-deployment maintenance)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-78": {
"lat": 18.0,
"lng": 39.5,
"heading": 0,
"desc": "Red Sea — Operation Epic Fury (USNI Mar 9)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-74": {
"lat": 36.98,
"lng": -76.43,
"heading": 0,
"desc": "Newport News, VA (RCOH refueling overhaul)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-75": {
"lat": 36.0,
"lng": 15.0,
"heading": 0,
"desc": "Mediterranean Sea deployment (USNI Mar 9)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-77": {
"lat": 36.5,
"lng": -74.0,
"heading": 0,
"desc": "Atlantic — Pre-deployment workups (USNI Mar 9)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-70": {
"lat": 32.6840,
"lng": -117.1290,
"heading": 180,
"desc": "San Diego, CA (Homeport)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-71": {
"lat": 32.6885,
"lng": -117.1280,
"heading": 180,
"desc": "San Diego, CA (Maintenance)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-72": {
"lat": 20.0,
"lng": 64.0,
"heading": 0,
"desc": "Arabian Sea — Operation Epic Fury (USNI Mar 9)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
},
"CVN-73": {
"lat": 35.2830,
"lng": 139.6700,
"heading": 180,
"desc": "Yokosuka, Japan (Forward deployed)",
"source": "USNI News Fleet & Marine Tracker (seed, as of 2026-03-09)",
"source_url": "https://news.usni.org/category/fleet-tracker",
"position_source_at": "2026-03-09T00:00:00Z",
"position_confidence": "seed"
}
}
}
-3
View File
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:72b69418aa860a0d92ccae398a08722bc85e64a992b5515dd7bf9ae9f79f2fd1
size 107194128
-15
View File
@@ -36,20 +36,5 @@
"ShadowBroker_v0.9.79.zip": "f6877c1d66614525315ea82636ce9f7b41178332c4dbf90d27431a1ea1d9cd47",
"ShadowBroker_0.9.79_x64-setup.exe": "f7b676ada45cac7da05868b0a353678c9ee700e3abcf456a7c0c038c36da446f",
"ShadowBroker_0.9.79_x64_en-US.msi": "e0713c3cdda184cfbea750bfac0d62a35678fec00847e6476f2cac8e7e42046e"
},
"v0.9.8": {
"ShadowBroker_v0.9.8.zip": "183bb5cd62b9b9349d95df5ef7696cb6ca810ab4b991fa9dab6f898af4c7a175",
"ShadowBroker_0.9.8_x64-setup.exe": "94a0309862e9c81c92cdcbfea8eec9dbb97eef19ded82b26217b397defbc810c",
"ShadowBroker_0.9.8_x64_en-US.msi": "fe22f9d51e4360d74c18a7250c2fbb9ed4fa4c7a884b3ac0d04a21115466386b"
},
"v0.9.81": {
"ShadowBroker_v0.9.81.zip": "f81f454bdc88e9a32c351df38212b8cfa624704d65764b971bb091eef62259c6",
"ShadowBroker_0.9.81_x64-setup.exe": "25e9a95d0d8ce959a7d08fe8e7406772ae24b596652793e81d1de5d02510a5a6",
"ShadowBroker_0.9.81_x64_en-US.msi": "34e655fc0c0f195ee4ac978f228a4b2b9d5565253b8771aca9ef4693409e9e70"
},
"v0.9.82": {
"ShadowBroker_v0.9.82.zip": "202ab043465741dcc06de57c19ec8314904332f8e818b891d7174655719d084c",
"ShadowBroker_0.9.82_x64-setup.exe": "0eb9f2bda02ab691b39687641abc97e6bfb507b42f48de21970ad7dfb4ea15fc",
"ShadowBroker_0.9.82_x64_en-US.msi": "ced08f930171c0c08009a958cc30b0171a09f982230fc217c6808c2ed7ab2e30"
}
}
+1 -105
View File
@@ -1,108 +1,4 @@
"""Rate-limit key function for slowapi.
Issue #287 (tg12): the previous implementation used
``slowapi.util.get_remote_address`` which only ever returns
``request.client.host``. Behind the bundled Next.js proxy (or any other
reverse proxy), every connected operator's ``client.host`` is the
frontend container's bridge IP. ``@limiter.limit("120/minute")`` then
collapses into one shared bucket for everybody on the same backend —
one heavy tab can starve every other operator on the node.
This module replaces that key function with one that:
* Reads ``X-Forwarded-For`` ONLY when the immediate peer is a trusted
frontend container (same allowlist used by the Docker bridge
local-operator trust path — see ``backend/auth.py`` ``#250``).
* Picks the FIRST entry in the XFF chain. That's the client end of
the proxy chain, which is the operator we want to bucket on.
* Falls back to ``request.client.host`` for any peer that isn't on
the trusted-frontend allowlist. Direct hits, unrelated containers,
and unknown hosts are bucketed exactly like before — there is no
way for an untrusted caller to spoof XFF and steal another
operator's rate-limit bucket.
Single-operator nodes are unaffected: the frontend resolves to one IP,
that IP is on the trust list, the XFF header is read, and you get one
bucket per operator (i.e. you).
"""
from __future__ import annotations
from typing import Any
from slowapi import Limiter
from slowapi.util import get_remote_address
def _client_host(request: Any) -> str:
"""Return the immediate peer's IP, normalised to a lowercase string."""
client = getattr(request, "client", None)
if client is None:
return ""
host = getattr(client, "host", "") or ""
return host.lower()
def _first_forwarded_for(value: str) -> str:
"""Return the first non-empty entry from an ``X-Forwarded-For`` header.
RFC 7239 / de-facto XFF format is ``client, proxy1, proxy2, …``. The
client end is what we want to bucket on. Empty parts (which appear
in some malformed headers) are skipped so we don't end up keying on
an empty string.
"""
for raw in value.split(","):
candidate = raw.strip()
if candidate:
return candidate.lower()
return ""
def _is_trusted_frontend_peer(host: str) -> bool:
"""True iff ``host`` is one of the resolved trusted-frontend IPs.
Imported lazily so this module stays usable in unit tests that
don't want to pull the whole auth module into scope.
"""
if not host:
return False
try:
from auth import _resolve_trusted_bridge_ips
except Exception: # pragma: no cover - defensive
return False
try:
trusted_ips = _resolve_trusted_bridge_ips()
except Exception: # pragma: no cover - defensive
return False
return host in trusted_ips
def shadowbroker_rate_limit_key(request: Any) -> str:
"""slowapi key_func that is proxy-aware on trusted frontend peers only.
Behaviour matrix:
* Direct loopback / unknown peer → ``request.client.host``
(identical to slowapi's default ``get_remote_address``).
* Peer is a trusted frontend container AND ``X-Forwarded-For`` is
present → first XFF entry (the actual operator).
* Peer is a trusted frontend container but no XFF → fall back to
``request.client.host`` (the bridge IP). One shared bucket for
everyone in that case, same as before — but you only get there
if the trusted frontend forgot to forward XFF, which it won't.
"""
peer = _client_host(request)
if _is_trusted_frontend_peer(peer):
headers = getattr(request, "headers", None)
if headers is not None:
xff = headers.get("x-forwarded-for") or headers.get("X-Forwarded-For")
if xff:
first = _first_forwarded_for(xff)
if first:
return first
# Untrusted peer (or trusted peer without XFF): match the original
# get_remote_address behaviour byte-for-byte.
return get_remote_address(request)
limiter = Limiter(key_func=shadowbroker_rate_limit_key)
limiter = Limiter(key_func=get_remote_address)
+559 -642
View File
File diff suppressed because it is too large Load Diff
+7 -18
View File
@@ -7,15 +7,16 @@ py-modules = []
[project]
name = "backend"
version = "0.9.82"
version = "0.9.79"
requires-python = ">=3.10"
dependencies = [
"apscheduler==3.10.3",
"beautifulsoup4>=4.9.0",
"cachetools==5.5.2",
"cryptography>=46.0.7",
"cloudscraper==1.2.71",
"cryptography>=41.0.0",
"defusedxml>=0.7.1",
"fastapi==0.136.3",
"fastapi==0.115.12",
"feedparser==6.0.10",
"httpx==0.28.1",
"playwright==1.59.0",
@@ -24,7 +25,7 @@ dependencies = [
"pydantic-settings==2.8.1",
"pystac-client==0.8.6",
"python-dotenv==1.2.2",
"requests==2.33.0",
"requests==2.31.0",
"PySocks==1.7.1",
"reverse-geocoder==1.5.1",
"sgp4==2.25",
@@ -33,29 +34,17 @@ dependencies = [
"paho-mqtt>=1.6.0,<2.0.0",
"PyNaCl>=1.5.0",
"slowapi==0.1.9",
"starlette==1.0.1",
"vaderSentiment>=3.3.0",
"uvicorn==0.34.0",
"yfinance==1.3.0",
]
[project.optional-dependencies]
road-corridor = [
"geopandas>=1.0.0",
"imageio>=2.34.0",
"osmnx>=2.0.0",
"rasterio>=1.4.0",
"scikit-learn>=1.5.0",
"sentinelhub>=3.10.0",
"shapely>=2.0.0",
]
[dependency-groups]
dev = ["pytest>=9.0.3", "pytest-asyncio>=1.4.0", "ruff>=0.9.0", "black>=24.0.0"]
dev = ["pytest>=8.3.4", "pytest-asyncio==0.25.0", "ruff>=0.9.0", "black>=24.0.0"]
[tool.ruff.lint]
# The current backend carries historical style debt in large legacy modules.
# Keep CI focused on actionable correctness checks for the v0.9.82 release.
# Keep CI focused on actionable correctness checks for the v0.9.79 release.
ignore = ["E401", "E402", "E701", "E731", "E741", "F401", "F402", "F541", "F811", "F841"]
[tool.black]
+2 -52
View File
@@ -82,40 +82,9 @@ async def api_get_keys_meta(request: Request):
return get_env_path_info()
@router.get(
"/api/settings/operator-handle",
dependencies=[Depends(require_local_operator)],
)
@limiter.limit("60/minute")
async def api_get_operator_handle(request: Request):
"""Round 7a: return the per-install operator handle so the frontend
can include it in browser-direct third-party API calls (Wikipedia /
Wikidata via lib/wikimediaClient). The handle is auto-generated on
first use; operators can override it via the OPERATOR_HANDLE setting
or the env var of the same name.
Gated on local-operator: legitimate browser usage goes through the
Next.js proxy which auto-attaches the admin key; remote scanners get
403. The handle itself isn't a secret (it's sent to every third-party
API the operator touches), but admin-gating it matches the rest of
the settings endpoints and follows least-privilege.
"""
from services.network_utils import get_operator_handle
return {"handle": get_operator_handle()}
@router.get(
"/api/settings/news-feeds",
dependencies=[Depends(require_local_operator)],
)
@router.get("/api/settings/news-feeds")
@limiter.limit("30/minute")
async def api_get_news_feeds(request: Request):
"""Issue #252 (tg12): the curated feed inventory is configuration
state, not a public data feed. Gated on local-operator so the
Tauri shell, the Docker bridge frontend, and any caller with an
admin key all see the full list; anonymous LAN/internet callers
can no longer enumerate operator source URLs.
"""
from services.news_feed_config import get_feeds
return get_feeds()
@@ -149,18 +118,9 @@ async def api_reset_news_feeds(request: Request):
@router.get("/api/settings/node")
@limiter.limit("30/minute")
async def api_get_node_settings(request: Request):
"""Issue #243 (tg12): node_mode and node_enabled are operational
posture. Anonymous callers receive an empty stub; authenticated
callers (local-operator or admin/scoped token) see the full
state. See the canonical handler in backend/main.py for the full
rationale.
"""
import asyncio
from auth import _scoped_view_authenticated
from services.node_settings import read_node_settings
data = await asyncio.to_thread(read_node_settings)
if not _scoped_view_authenticated(request, "node"):
return {}
return {
**data,
"node_mode": _current_node_mode(),
@@ -250,19 +210,9 @@ async def api_set_meshtastic_mqtt_settings(request: Request, body: MeshtasticMqt
return _meshtastic_runtime_snapshot()
@router.get(
"/api/settings/timemachine",
dependencies=[Depends(require_local_operator)],
)
@router.get("/api/settings/timemachine")
@limiter.limit("30/minute")
async def api_get_timemachine_settings(request: Request):
"""Issue #253 (tg12): archival-capture posture is operationally
sensitive — it tells a remote caller whether this deployment is
retaining replayable historical surveillance data. Gated on
local-operator so the Tauri shell and Docker bridge frontend
still see the toggle state, but anonymous LAN/internet callers
can no longer fingerprint Time Machine state.
"""
import asyncio
from services.node_settings import read_node_settings
data = await asyncio.to_thread(read_node_settings)
+45 -276
View File
@@ -18,12 +18,6 @@ from auth import require_local_operator, require_openclaw_or_local
from limiter import limiter
from services.fetchers._store import latest_data as _latest_data
def _ai_intel_user_agent() -> str:
from services.network_utils import outbound_user_agent
return outbound_user_agent("ai-intel")
logger = logging.getLogger(__name__)
router = APIRouter()
@@ -453,7 +447,7 @@ async def ai_satellite_images(
"https://planetarycomputer.microsoft.com/api/stac/v1/search",
json=search_payload,
timeout=10,
headers={"User-Agent": _ai_intel_user_agent()},
headers={"User-Agent": "ShadowBroker-OSINT/1.0 (ai-intel)"},
)
resp.raise_for_status()
features = resp.json().get("features", [])
@@ -1590,7 +1584,7 @@ async def agent_tool_manifest(request: Request):
return {
"ok": True,
"version": "0.9.82",
"version": "0.9.79",
"access_tier": access_tier,
"available_commands": available_commands,
"transport": {
@@ -1705,12 +1699,11 @@ async def agent_tool_manifest(request: Request):
{
"name": "search_news",
"type": "read",
"description": "Search news and event layers server-side by keyword. Includes news, GDELT, CrowdThreat, Telegram OSINT, and major incident/event feeds without pulling the full slow telemetry feed.",
"description": "Search news and event layers server-side by keyword. Includes news, GDELT, CrowdThreat, and major incident/event feeds without pulling the full slow telemetry feed.",
"parameters": {
"query": {"type": "string", "required": True, "description": "Keyword or phrase to search for"},
"limit": {"type": "integer", "required": False, "description": "Max results (default 10, max 50)"},
"include_gdelt": {"type": "boolean", "required": False, "description": "Include GDELT matches (default true)"},
"include_telegram": {"type": "boolean", "required": False, "description": "Include Telegram OSINT channel posts (default true)"},
"compact": {"type": "boolean", "required": False, "description": "If true, strips empty/None fields from each result and rounds lat/lng to 3 decimals. Response includes format: 'compressed_v1'."},
},
"returns": "{results: [{source_layer, title, summary, source, link, lat, lng, risk_score}], version: int, truncated: bool}",
@@ -1744,55 +1737,6 @@ async def agent_tool_manifest(request: Request):
},
"returns": "{center, radius_km, nearby, topic_news, context_layers}",
},
{
"name": "osint_lookup",
"type": "read",
"description": "Run a passive OSINT recon lookup server-side (same backends as the Recon panel). SSRF-guarded outbound proxies for IP geolocation, DNS, WHOIS, certs, BGP/ASN, sanctions, CVE, MAC vendor, GitHub profile, breach checks, and threat feeds.",
"parameters": {
"tool": {"type": "string", "required": True, "description": "Lookup type: ip, dns, whois, certs, threats, bgp, sanctions, cve, mac, github, leaks, sweep_init"},
"ip": {"type": "string", "required": False, "description": "IPv4/IPv6 for ip or sweep_init"},
"domain": {"type": "string", "required": False, "description": "Domain for dns, whois, certs"},
"query": {"type": "string", "required": False, "description": "Generic query (BGP ASN, sanctions name, optional threats filter)"},
"cve": {"type": "string", "required": False, "description": "CVE id for cve lookup"},
"mac": {"type": "string", "required": False, "description": "MAC address for mac lookup"},
"username": {"type": "string", "required": False, "description": "GitHub username"},
"email": {"type": "string", "required": False, "description": "Email for breach/leak lookup"},
"schema": {"type": "string", "required": False, "description": "Sanctions schema filter: Person, Organization, Company, Vessel, Airplane, LegalEntity"},
"limit": {"type": "integer", "required": False, "description": "Sanctions result cap (default 25, max 100)"},
"cidr": {"type": "integer", "required": False, "description": "CIDR mask for sweep_init (24-32, default 24)"},
},
"returns": "Tool-specific JSON (geo, DNS records, WHOIS, sanctions hits, CVE details, etc.)",
},
{
"name": "osint_tools",
"type": "read",
"description": "List available OSINT recon tools, entity-expand types, and sanctions schemas.",
"parameters": {},
"returns": "{tools: [...], entity_types: [...], sanctions_schemas: [...], notes: {...}}",
},
{
"name": "entity_expand",
"type": "read",
"description": "Expand an entity relationship graph around an aircraft, vessel, IP, company, person, or country. Same backend as /api/entity/expand.",
"parameters": {
"type": {"type": "string", "required": True, "description": "Entity type: aircraft, vessel, company, person, ip, country"},
"id": {"type": "string", "required": True, "description": "Entity identifier (tail number, MMSI, IP, company name, etc.)"},
"registration": {"type": "string", "required": False, "description": "Aircraft registration hint"},
"model": {"type": "string", "required": False, "description": "Aircraft model hint"},
"icao24": {"type": "string", "required": False, "description": "ICAO24 hex for aircraft"},
},
"returns": "{nodes: [...], links: [...]}",
},
{
"name": "osint_sweep",
"type": "write",
"description": "Active subnet device discovery via Shodan InternetDB (ports, vulns, hostnames). Requires full OpenClaw access tier. Private/reserved IPs blocked.",
"parameters": {
"ip": {"type": "string", "required": True, "description": "Public IPv4 anchor for the sweep"},
"cidr": {"type": "integer", "required": False, "description": "Subnet size /24-/32 (default 24)"},
},
"returns": "{center, target_ip, cidr, subnet, devices, summary, sweep_time_ms}",
},
{
"name": "what_changed",
"type": "read",
@@ -2244,11 +2188,6 @@ async def agent_tool_manifest(request: Request):
"Prefer compact lookups first: search_telemetry, find_flights, find_ships, search_news, entities_near, get_layer_slice. Use get_telemetry/get_slow_telemetry/get_report only when focused commands are insufficient.",
"ShadowBroker does expose UAP sightings, wastewater, and tracked_flights/VIP aircraft when those layers are populated. Verify with get_summary or get_layer_slice before claiming a layer is absent.",
"ShadowBroker also exposes fishing_activity, which is the fishing-vessel activity layer backed by Global Fishing Watch data when GFW_API_TOKEN is configured. Do not confuse it with the AIS ships layer.",
"telegram_osint, malware_threats, cyber_threats, and scm_suppliers are live map layers. Use get_summary or get_layer_slice(['telegram_osint']) before claiming they are absent. Aliases: telegram, malware/botnet, cyber/cisa/kev, scm/suppliers.",
"search_telemetry and search_news both index Telegram OSINT posts. For malware C2, botnet IPs, CISA KEV CVEs, or semiconductor suppliers, use search_telemetry or get_layer_slice on the matching layer.",
"The Recon toolkit is available via osint_lookup: IP geolocation, DNS, WHOIS, certs, BGP, sanctions, CVE, MAC vendor, GitHub, breach checks, threat feeds. Call osint_tools first to list supported tools.",
"entity_expand builds relationship graphs for aircraft, vessels, IPs, companies, people, and countries — use after resolving an entity from telemetry or osint_lookup.",
"osint_sweep runs active subnet discovery (Shodan InternetDB) and requires full OpenClaw access tier. Use osint_lookup tool=sweep_init for passive geolocation context only.",
"Use search_telemetry as the Google-style entry point whenever the user gives you a person, place, company, topic, owner, nickname, or natural-language phrase and you do not already know the source layer.",
"Example: for 'Where is Jerry Jones yacht?' search 'Jerry Jones' across all telemetry first, identify the ship match, then refine with find_ships or raw layer context only if needed.",
"For fuzzy natural-language lookups like 'Patriots jet' or 'Jerry Jones yacht', use search_telemetry first and inspect the ranked candidate list before making a hard claim.",
@@ -2281,7 +2220,7 @@ async def api_capabilities(request: Request):
access_tier = str(get_settings().OPENCLAW_ACCESS_TIER or "restricted").strip().lower()
return {
"ok": True,
"version": "0.9.82",
"version": "0.9.79",
"auth": {
"method": "HMAC-SHA256",
"headers": ["X-SB-Timestamp", "X-SB-Nonce", "X-SB-Signature"],
@@ -2409,29 +2348,13 @@ async def api_capabilities(request: Request):
"description": "Universal compact search across telemetry when the entity type or source layer is not obvious.",
},
"search_news": {
"args": {"query": "str", "limit": "int (default 10)", "include_gdelt": "bool (default true)", "include_telegram": "bool (default true)"},
"description": "Search news and event layers by keyword without pulling the whole slow feed. Includes Telegram OSINT when include_telegram is true.",
"args": {"query": "str", "limit": "int (default 10)", "include_gdelt": "bool (default true)"},
"description": "Search news and event layers by keyword without pulling the whole slow feed.",
},
"entities_near": {
"args": {"lat": "float", "lng": "float", "radius_km": "float (default 50)", "entity_types": "list[str] (optional)", "limit": "int (default 25)"},
"description": "Compact proximity search around a point across selected layers.",
},
"osint_lookup": {
"args": {"tool": "str (ip|dns|whois|certs|threats|bgp|sanctions|cve|mac|github|leaks|sweep_init)", "...": "tool-specific params"},
"description": "Passive OSINT recon lookup — same backends as the Recon panel.",
},
"osint_tools": {
"args": {},
"description": "List available recon tools and entity-expand types.",
},
"entity_expand": {
"args": {"type": "str", "id": "str", "registration": "str (optional)", "icao24": "str (optional)"},
"description": "Entity relationship graph expansion.",
},
"osint_sweep": {
"args": {"ip": "str", "cidr": "int (default 24)"},
"description": "Active subnet scan — requires full access tier.",
},
"brief_area": {
"args": {"lat": "float", "lng": "float", "radius_km": "float (default 50)", "entity_types": "list[str] (optional)", "query": "str (optional)", "limit": "int (default 25)", "context_limit": "int (default 10)"},
"description": "One compact area brief: nearby aircraft/ships/entities, optional topic news, and selected context layers.",
@@ -2592,85 +2515,45 @@ async def api_capabilities(request: Request):
# OpenClaw Connection Management (local-operator only — NOT via HMAC)
# These endpoints manage the HMAC secret itself, so they MUST require
# local operator access to prevent privilege escalation.
#
# Issue #302 (tg12): pre-fix, GET /api/ai/connect-info had two problems:
#
# 1. ``?reveal=true`` made the full secret travel through every operator
# page-load that opened the Connect modal. Even gated to
# ``require_local_operator``, that put the secret into browser
# history, dev-tools network panels, browser disk caches, HAR
# exports, and screen captures. Every time the modal opened.
#
# 2. The same GET endpoint auto-bootstrapped (generated + persisted)
# the secret on first read. Side effects on a GET are a footgun:
# browser prefetchers, mirror tools, and casual curl-from-history
# would all silently mint+persist a fresh secret. (Gated, but
# still surprising — and noisy in the audit log.)
#
# Resolution:
#
# GET /api/ai/connect-info — always returns the MASKED
# secret. No ?reveal param.
# No auto-bootstrap; if the
# secret is missing,
# ``hmac_secret_set: false``
# tells the frontend to call
# /bootstrap.
#
# POST /api/ai/connect-info/bootstrap — NEW. Generates + persists the
# secret if missing. Idempotent.
# Returns metadata only, never
# the full secret.
#
# POST /api/ai/connect-info/reveal — NEW. Returns the full secret in
# the body with strict
# ``Cache-Control: no-store,
# no-cache, must-revalidate``
# + ``Pragma: no-cache`` so
# it does not land in browser
# caches. POST means it does
# not land in URL history.
#
# POST /api/ai/connect-info/regenerate — keeps existing one-time-reveal
# behavior (regenerate IS a
# deliberate destructive action
# the operator triggered, so
# displaying the new secret
# once is the only path that
# makes the operation useful).
# Same no-store headers added.
# ---------------------------------------------------------------------------
# Cache-Control headers that should accompany every response carrying the
# full HMAC secret. Reused across the reveal + regenerate endpoints so a
# future refactor that splits or renames them can't forget the headers.
_NO_STORE_HEADERS = {
"Cache-Control": "no-store, no-cache, must-revalidate, private",
"Pragma": "no-cache",
"Expires": "0",
}
@router.get("/api/ai/connect-info", dependencies=[Depends(require_local_operator)])
@limiter.limit("30/minute")
async def get_connect_info(request: Request, reveal: bool = False):
"""Return connection details for the OpenClaw Connect modal.
def _mask_hmac_secret(secret: str) -> str:
"""Return a fingerprint-style mask (first6 + bullets + last4) suitable
for display in the UI before the operator clicks Reveal."""
if not secret:
return ""
if len(secret) > 10:
return secret[:6] + "••••••••" + secret[-4:]
return "••••••••"
def _connect_info_metadata(settings) -> dict:
"""Return everything the Connect modal needs EXCEPT the secret itself.
Shared between GET /api/ai/connect-info (where the full secret is
masked) and POST /api/ai/connect-info/bootstrap (where the operator
just generated a secret but we don't return it inline — they have to
call /reveal to see it).
The HMAC secret is masked by default. Pass ?reveal=true to see the full key.
Private keys are NEVER returned.
"""
import os
import secrets
from services.config import get_settings
settings = get_settings()
hmac_secret = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
access_tier = str(settings.OPENCLAW_ACCESS_TIER or "restricted").strip().lower()
# Auto-generate if not set
if not hmac_secret:
hmac_secret = secrets.token_hex(24) # 48 chars
_write_env_value("OPENCLAW_HMAC_SECRET", hmac_secret)
# Clear settings cache so next read picks up the new value
get_settings.cache_clear()
masked = hmac_secret[:6] + "••••••••" + hmac_secret[-4:] if len(hmac_secret) > 10 else "••••••••"
return {
"ok": True,
"hmac_secret": hmac_secret if reveal else masked,
"hmac_secret_set": bool(hmac_secret),
"bootstrap_behavior": {
"auto_generates_when_missing": True,
"auto_generated_this_call": not bool(settings.OPENCLAW_HMAC_SECRET or ""),
"notes": [
"If no HMAC secret exists yet, this endpoint bootstraps one and persists it to .env.",
"Regenerating the HMAC secret revokes all existing direct-mode OpenClaw callers at once.",
],
},
"access_tier": access_tier,
"trust_model": {
"remote_http_principal": "holder_of_openclaw_hmac_secret",
@@ -2724,120 +2607,10 @@ def _connect_info_metadata(settings) -> dict:
}
@router.get("/api/ai/connect-info", dependencies=[Depends(require_local_operator)])
@limiter.limit("30/minute")
async def get_connect_info(request: Request):
"""Return connection details for the OpenClaw Connect modal.
The HMAC secret is always returned as a fingerprint mask
(``first6 + bullets + last4``); the full value is only ever served by
``POST /api/ai/connect-info/reveal`` (see #302). When the secret has
not been bootstrapped yet, ``hmac_secret_set`` is false and the
frontend should call ``POST /api/ai/connect-info/bootstrap``.
Private keys are NEVER returned.
"""
from services.config import get_settings
settings = get_settings()
hmac_secret = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
return {
"ok": True,
"masked_hmac_secret": _mask_hmac_secret(hmac_secret),
"hmac_secret_set": bool(hmac_secret),
"bootstrap_behavior": {
"auto_generates_when_missing": False,
"notes": [
"Call POST /api/ai/connect-info/bootstrap to mint a secret on first use.",
"Call POST /api/ai/connect-info/reveal to see the full secret (no-store).",
"Regenerating the HMAC secret revokes all existing direct-mode OpenClaw callers at once.",
],
},
**_connect_info_metadata(settings),
}
@router.post("/api/ai/connect-info/bootstrap", dependencies=[Depends(require_local_operator)])
@limiter.limit("10/minute")
async def bootstrap_hmac_secret(request: Request):
"""Mint and persist the OpenClaw HMAC secret if it isn't already set.
Idempotent: if a secret already exists, returns ``generated: false``
and leaves the existing secret untouched. Never returns the secret
value in the response body — the operator calls
``POST /api/ai/connect-info/reveal`` to see it.
"""
import secrets
from services.config import get_settings
settings = get_settings()
existing = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
if existing:
return {
"ok": True,
"generated": False,
"hmac_secret_set": True,
"masked_hmac_secret": _mask_hmac_secret(existing),
"detail": "HMAC secret already configured. Use /reveal to see it.",
}
new_secret = secrets.token_hex(24) # 48 chars
_write_env_value("OPENCLAW_HMAC_SECRET", new_secret)
get_settings.cache_clear()
return {
"ok": True,
"generated": True,
"hmac_secret_set": True,
"masked_hmac_secret": _mask_hmac_secret(new_secret),
"detail": "HMAC secret generated. Call /reveal to copy it into your OpenClaw config.",
}
@router.post("/api/ai/connect-info/reveal", dependencies=[Depends(require_local_operator)])
@limiter.limit("10/minute")
async def reveal_hmac_secret(request: Request):
"""Return the full HMAC secret in the response body.
POST (not GET) so the secret never lands in URL history, access logs,
or browser visit history. Strict ``Cache-Control: no-store`` headers
prevent intermediaries from persisting the response. Returns 404 if
no secret has been bootstrapped — the frontend should call
``POST /api/ai/connect-info/bootstrap`` first.
"""
from services.config import get_settings
settings = get_settings()
hmac_secret = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
if not hmac_secret:
raise HTTPException(
404,
"No HMAC secret configured. Call POST /api/ai/connect-info/bootstrap first.",
)
return JSONResponse(
content={
"ok": True,
"hmac_secret": hmac_secret,
"masked_hmac_secret": _mask_hmac_secret(hmac_secret),
},
headers=_NO_STORE_HEADERS,
)
@router.post("/api/ai/connect-info/regenerate", dependencies=[Depends(require_local_operator)])
@limiter.limit("5/minute")
async def regenerate_hmac_secret(request: Request):
"""Generate a new HMAC secret. Old secret immediately stops working.
Returns the new secret in the response body — this is the only
operation where the full secret travels back through the response,
because regenerating IS a deliberate destructive action the operator
triggered and they need to see the new value once to update their
OpenClaw configuration. Strict ``Cache-Control: no-store`` headers
keep it from being persisted by browser caches, proxies, or HAR
capture tooling.
"""
"""Generate a new HMAC secret. Old secret immediately stops working."""
import secrets
from services.config import get_settings
@@ -2845,15 +2618,11 @@ async def regenerate_hmac_secret(request: Request):
_write_env_value("OPENCLAW_HMAC_SECRET", new_secret)
get_settings.cache_clear()
return JSONResponse(
content={
"ok": True,
"hmac_secret": new_secret,
"masked_hmac_secret": _mask_hmac_secret(new_secret),
"detail": "HMAC secret regenerated. Update your OpenClaw agent configuration.",
},
headers=_NO_STORE_HEADERS,
)
return {
"ok": True,
"hmac_secret": new_secret,
"detail": "HMAC secret regenerated. Update your OpenClaw agent configuration.",
}
@router.put("/api/ai/connect-info/access-tier", dependencies=[Depends(require_local_operator)])
+3 -43
View File
@@ -47,8 +47,6 @@ _CCTV_PROXY_ALLOWED_HOSTS = {
"www.tripcheck.com",
"infocar.dgt.es",
"informo.madrid.es",
"webcams2.asfinag.at",
"odo.asfinag.at",
"www.windy.com",
"imgproxy.windy.com",
"www.lakecountypassage.com",
@@ -57,14 +55,6 @@ _CCTV_PROXY_ALLOWED_HOSTS = {
"www.nps.gov",
"home.lewiscounty.com",
"www.seattle.gov",
"511on.ca",
"511.alberta.ca",
"fl511.com",
"www.fl511.com",
"webcams.transport.nsw.gov.au",
"www.livetraffic.com",
"livetraffic.com",
"opendata.ndw.nu",
}
@@ -130,7 +120,7 @@ def _cctv_proxy_profile_for_url(target_url: str) -> _CCTVProxyProfile:
read_timeout = 18.0 if "/snapshots/" in path else 12.0
return _CCTVProxyProfile(name="gdot-snapshot", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, read_timeout), cache_seconds=15,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://navigator-c2c.dot.ga.gov/"})
"Referer": "http://navigator-c2c.dot.ga.gov/"})
if host == "511ga.org":
return _CCTVProxyProfile(name="gdot-511ga-image", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=15,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
@@ -138,7 +128,7 @@ def _cctv_proxy_profile_for_url(target_url: str) -> _CCTVProxyProfile:
if host.startswith("vss") and host.endswith("dot.ga.gov"):
return _CCTVProxyProfile(name="gdot-hls", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 20.0), cache_seconds=10,
headers={"Accept": "application/vnd.apple.mpegurl,application/x-mpegURL,video/*,*/*;q=0.8",
"Referer": "https://navigator-c2c.dot.ga.gov/"})
"Referer": "http://navigator-c2c.dot.ga.gov/"})
if host in {"gettingaroundillinois.com", "cctv.travelmidwest.com"}:
return _CCTVProxyProfile(name="illinois-dot", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=30,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8"})
@@ -166,46 +156,16 @@ def _cctv_proxy_profile_for_url(target_url: str) -> _CCTVProxyProfile:
return _CCTVProxyProfile(name="madrid-city", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=30,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://informo.madrid.es/"})
if host in {"webcams2.asfinag.at", "odo.asfinag.at"}:
return _CCTVProxyProfile(name="asfinag-austria", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=60,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://www.asfinag.at/"})
if host in {"www.windy.com", "imgproxy.windy.com"}:
return _CCTVProxyProfile(name="windy-webcams", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=60,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://www.windy.com/"})
if host == "511on.ca":
return _CCTVProxyProfile(name="ontario-511", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=30,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://511on.ca/"})
if host == "511.alberta.ca":
return _CCTVProxyProfile(name="alberta-511", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=30,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://511.alberta.ca/"})
if host in {"fl511.com", "www.fl511.com"}:
return _CCTVProxyProfile(name="florida-511", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=30,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://fl511.com/"})
if host == "webcams.transport.nsw.gov.au":
return _CCTVProxyProfile(name="nsw-live-traffic", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=60,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://www.livetraffic.com/"})
if host in {"opendata.ndw.nu", "www.ndw.nu"}:
return _CCTVProxyProfile(name="ndw-netherlands", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=120,
headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
"Referer": "https://www.ndw.nu/"})
return _CCTVProxyProfile(name="generic-cctv", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 8.0), cache_seconds=30,
headers={"Accept": "*/*"})
def _cctv_upstream_headers(request: Request, profile: _CCTVProxyProfile) -> dict:
# Round 7a: per-install operator handle. Mozilla/5.0 prefix retained
# because many CCTV endpoints sniff for a browser-like prefix.
from services.network_utils import outbound_user_agent
headers = {
"User-Agent": f"Mozilla/5.0 (compatible; {outbound_user_agent('cctv-proxy')})",
**profile.headers,
}
headers = {"User-Agent": "Mozilla/5.0 (compatible; ShadowBroker CCTV proxy)", **profile.headers}
range_header = request.headers.get("range")
if range_header:
headers["Range"] = range_header
+17 -272
View File
@@ -1,7 +1,6 @@
import asyncio
import logging
import math
import os
import threading
from typing import Any
from fastapi import APIRouter, Request, Response, Query, Depends
@@ -9,7 +8,7 @@ from fastapi.responses import JSONResponse
from pydantic import BaseModel
from limiter import limiter
from auth import require_admin, require_local_operator
from services.data_fetcher import update_all_data
from services.data_fetcher import get_latest_data, update_all_data
import orjson
import json as json_mod
@@ -31,14 +30,6 @@ class LayerUpdate(BaseModel):
layers: dict[str, bool]
class LiveUamapOptInUpdate(BaseModel):
opted_in: bool
class PredictionMarketsOptInUpdate(BaseModel):
opted_in: bool
_LAST_VIEWPORT_UPDATE: tuple | None = None
_LAST_VIEWPORT_UPDATE_TS = 0.0
_VIEWPORT_UPDATE_LOCK = threading.Lock()
@@ -107,88 +98,6 @@ def _current_etag(prefix: str = "") -> str:
return f"{prefix}v{get_data_version()}-l{get_active_layers_version()}"
# ── Issue #288: viewport-aware payloads ─────────────────────────────────────
# Heavy, density-driven, time-sensitive layers that benefit from bbox
# filtering. Light reference layers (datacenters, military_bases,
# power_plants, satellites, weather, news, etc.) are intentionally NOT
# in these sets — they ship world-scale even when bounds are supplied so
# panning never reveals an "empty world" of static infrastructure.
#
# When the caller does NOT pass s/w/n/e, none of this runs and the response
# is byte-for-byte identical to the pre-#288 behavior.
_FAST_BBOX_HEAVY_KEYS: tuple[str, ...] = (
"commercial_flights",
"military_flights",
"private_flights",
"private_jets",
"tracked_flights",
"ships",
"cctv",
"uavs",
"liveuamap",
"gps_jamming",
"sigint",
"trains",
)
_SLOW_BBOX_HEAVY_KEYS: tuple[str, ...] = (
"gdelt",
"firms_fires",
"kiwisdr",
"scanners",
"psk_reporter",
)
def _has_full_bbox(s, w, n, e) -> bool:
return None not in (s, w, n, e)
def _bbox_etag_suffix(s, w, n, e) -> str:
"""Quantize bbox to 1° before mixing into the ETag.
The 20% padding inside _bbox_filter already absorbs sub-degree pans;
quantizing here means small mouse drags don't blow the ETag cache
on the client. Full-world bounds collapse to a single suffix.
"""
if not _has_full_bbox(s, w, n, e):
return ""
try:
ss = math.floor(float(s))
ww = math.floor(float(w))
nn = math.ceil(float(n))
ee = math.ceil(float(e))
except (TypeError, ValueError):
return ""
# If the requested window covers basically the whole world, treat it as
# "no bbox" for caching purposes so world-zoomed clients all hit the
# same ETag and benefit from the existing 304 path.
lat_span, lng_span = _bbox_spans(s, w, n, e)
if lng_span >= 300 or lat_span >= 120:
return ""
return f"|bbox={ss},{ww},{nn},{ee}"
def _apply_bbox_to_payload(payload: dict, heavy_keys: tuple[str, ...],
s: float, w: float, n: float, e: float) -> dict:
"""In-place filter the heavy-key collections in *payload* to a viewport.
Items without lat/lng are passed through (so e.g. summary blobs aren't
accidentally dropped). The existing _bbox_filter helper applies a 20%
pad and handles antimeridian crossings.
"""
lat_span, lng_span = _bbox_spans(s, w, n, e)
# World-scale request → skip filtering entirely. Spares the CPU and
# guarantees the response matches the no-params shape.
if lng_span >= 300 or lat_span >= 120:
return payload
for key in heavy_keys:
items = payload.get(key)
if not isinstance(items, list) or not items:
continue
payload[key] = _bbox_filter(items, s, w, n, e)
return payload
def _json_safe(value):
if isinstance(value, float):
return value if math.isfinite(value) else None
@@ -211,15 +120,6 @@ def _sanitize_payload(value):
return value
def _live_data_json_bytes(payload: dict) -> bytes:
"""Serialize dashboard payloads with the same defensive orjson options everywhere."""
return orjson.dumps(
_sanitize_payload(payload),
default=str,
option=orjson.OPT_NON_STR_KEYS,
)
def _bbox_filter(items: list, s: float, w: float, n: float, e: float,
lat_key: str = "lat", lng_key: str = "lng") -> list:
pad_lat = (n - s) * 0.2
@@ -404,95 +304,6 @@ async def update_viewport(vp: ViewportUpdate, request: Request): # noqa: ARG001
return {"status": "ok"}
@router.get("/api/liveuamap/scraper-status", dependencies=[Depends(require_local_operator)])
async def api_liveuamap_scraper_status():
"""Whether LiveUAMap Playwright may run (Windows needs UI opt-in unless env forces)."""
from services.liveuamap_settings import liveuamap_scraper_status
return liveuamap_scraper_status()
@router.post("/api/liveuamap/scraper-opt-in", dependencies=[Depends(require_local_operator)])
@limiter.limit("10/minute")
async def api_liveuamap_scraper_opt_in(body: LiveUamapOptInUpdate, request: Request):
"""Persist operator consent for LiveUAMap scraper (#348)."""
from services.liveuamap_settings import liveuamap_scraper_status, set_liveuamap_ui_opt_in
set_liveuamap_ui_opt_in(body.opted_in)
if body.opted_in:
from services.fetchers._store import is_any_active
if is_any_active("global_incidents"):
threading.Thread(target=_run_liveuamap_refresh, daemon=True).start()
return liveuamap_scraper_status()
def _run_liveuamap_refresh() -> None:
try:
from services.fetchers.geo import update_liveuamap
update_liveuamap()
except Exception as e:
logger.warning("LiveUAMap refresh after opt-in failed: %s", e)
@router.get("/api/prediction-markets/status", dependencies=[Depends(require_local_operator)])
async def api_prediction_markets_status():
"""Whether Polymarket/Kalshi fetches and news market correlation are enabled."""
from services.prediction_markets_settings import prediction_markets_status
return prediction_markets_status()
@router.post("/api/prediction-markets/opt-in", dependencies=[Depends(require_local_operator)])
@limiter.limit("10/minute")
async def api_prediction_markets_opt_in(body: PredictionMarketsOptInUpdate, request: Request):
"""Enable or disable prediction market fetches + intercept story correlation."""
from services.config import get_settings
from services.prediction_markets_settings import (
prediction_markets_status,
set_prediction_markets_ui_opt_in,
)
from routers.ai_intel import _write_env_value
set_prediction_markets_ui_opt_in(body.opted_in)
_write_env_value("PREDICTION_MARKETS_ENABLED", "true" if body.opted_in else "false")
os.environ["PREDICTION_MARKETS_ENABLED"] = "true" if body.opted_in else "false"
get_settings.cache_clear()
if body.opted_in:
threading.Thread(target=_run_prediction_markets_refresh, daemon=True).start()
else:
threading.Thread(target=_run_prediction_markets_disable, daemon=True).start()
return prediction_markets_status()
def _run_prediction_markets_refresh() -> None:
try:
from services.fetchers.prediction_markets import fetch_prediction_markets
from services.fetchers.news import fetch_news
fetch_prediction_markets()
fetch_news()
except Exception as e:
logger.warning("Prediction markets refresh after opt-in failed: %s", e)
def _run_prediction_markets_disable() -> None:
try:
from services.fetchers._store import _data_lock, _mark_fresh, latest_data
from services.fetchers.news import fetch_news
with _data_lock:
latest_data["prediction_markets"] = []
latest_data["trending_markets"] = []
_mark_fresh("prediction_markets")
fetch_news()
except Exception as e:
logger.warning("Prediction markets disable cleanup failed: %s", e)
@router.post("/api/layers", dependencies=[Depends(require_local_operator)])
@limiter.limit("30/minute")
async def update_layers(update: LayerUpdate, request: Request):
@@ -502,8 +313,6 @@ async def update_layers(update: LayerUpdate, request: Request):
old_mesh = is_any_active("sigint_meshtastic")
old_aprs = is_any_active("sigint_aprs")
old_viirs = is_any_active("viirs_nightlights")
old_datacenters = is_any_active("datacenters")
old_fishing = is_any_active("fishing_activity")
changed = False
for key, value in update.layers.items():
if key in active_layers:
@@ -516,8 +325,6 @@ async def update_layers(update: LayerUpdate, request: Request):
new_mesh = is_any_active("sigint_meshtastic")
new_aprs = is_any_active("sigint_aprs")
new_viirs = is_any_active("viirs_nightlights")
new_datacenters = is_any_active("datacenters")
new_fishing = is_any_active("fishing_activity")
if old_ships and not new_ships:
from services.ais_stream import stop_ais_stream
stop_ais_stream()
@@ -561,33 +368,13 @@ async def update_layers(update: LayerUpdate, request: Request):
if not old_viirs and new_viirs:
_queue_viirs_change_refresh()
logger.info("VIIRS change refresh queued (layer enabled)")
if not old_datacenters and new_datacenters:
from services.fetchers.infrastructure import fetch_datacenters
fetch_datacenters()
logger.info("Datacenters loaded (layer enabled)")
if not old_fishing and new_fishing:
from services.fetchers.geo import fetch_fishing_activity
fetch_fishing_activity()
logger.info("Fishing activity refresh queued (layer enabled)")
return {"status": "ok"}
@router.get("/api/live-data")
@limiter.limit("120/minute")
async def live_data(request: Request):
etag = _current_etag(prefix="live|full|")
if request.headers.get("if-none-match") == etag:
return Response(status_code=304, headers={"ETag": etag, "Cache-Control": "no-cache"})
from services.fetchers._store import get_latest_data_deepcopy_snapshot
payload = get_latest_data_deepcopy_snapshot()
return Response(
content=_live_data_json_bytes(payload),
media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"},
)
return get_latest_data()
@router.get("/api/bootstrap/critical")
@@ -682,7 +469,7 @@ async def bootstrap_critical(request: Request):
"bootstrap_payload": True,
}
return Response(
content=_live_data_json_bytes(payload),
content=orjson.dumps(_sanitize_payload(payload), default=str, option=orjson.OPT_NON_STR_KEYS),
media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"},
)
@@ -692,14 +479,13 @@ async def bootstrap_critical(request: Request):
@limiter.limit("120/minute")
async def live_data_fast(
request: Request,
s: float = Query(None, description="South bound — when all four bounds are supplied, heavy/dense layers (vessels, aircraft, sigint, CCTV, …) are filtered to this viewport with 20% padding. Static reference layers (satellites, etc.) always ship world-scale.", ge=-90, le=90),
w: float = Query(None, description="West bound (see s)", ge=-180, le=180),
n: float = Query(None, description="North bound (see s)", ge=-90, le=90),
e: float = Query(None, description="East bound (see s)", ge=-180, le=180),
s: float = Query(None, description="South bound (ignored)", ge=-90, le=90),
w: float = Query(None, description="West bound (ignored)", ge=-180, le=180),
n: float = Query(None, description="North bound (ignored)", ge=-90, le=90),
e: float = Query(None, description="East bound (ignored)", ge=-180, le=180),
initial: bool = Query(False, description="Return a capped startup payload for first paint"),
):
bbox_suffix = _bbox_etag_suffix(s, w, n, e)
etag = _current_etag(prefix=("fast|initial|" if initial else "fast|full|") + bbox_suffix.lstrip("|") + ("|" if bbox_suffix else ""))
etag = _current_etag(prefix="fast|initial|" if initial else "fast|full|")
if request.headers.get("if-none-match") == etag:
return Response(status_code=304, headers={"ETag": etag, "Cache-Control": "no-cache"})
from services.fetchers._store import (active_layers, get_latest_data_subset_refs, get_source_timestamps_snapshot)
@@ -739,29 +525,20 @@ async def live_data_fast(
payload = _cap_fast_startup_payload(payload)
else:
payload = _cap_fast_dashboard_payload(payload)
# Issue #288: bbox filter heavy/dense layers only when all four bounds
# are supplied. Without bounds, behaviour is byte-for-byte identical
# to the pre-#288 implementation.
if _has_full_bbox(s, w, n, e):
payload = _apply_bbox_to_payload(payload, _FAST_BBOX_HEAVY_KEYS, s, w, n, e)
return Response(
content=_live_data_json_bytes(payload),
media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"},
)
return Response(content=orjson.dumps(_sanitize_payload(payload)), media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"})
@router.get("/api/live-data/slow")
@limiter.limit("60/minute")
async def live_data_slow(
request: Request,
s: float = Query(None, description="South bound — when all four bounds are supplied, heavy/dense layers (gdelt, firms_fires, kiwisdr, scanners, psk_reporter) are filtered to this viewport with 20% padding. Static reference layers (datacenters, military bases, power plants, weather, news, …) always ship world-scale.", ge=-90, le=90),
w: float = Query(None, description="West bound (see s)", ge=-180, le=180),
n: float = Query(None, description="North bound (see s)", ge=-90, le=90),
e: float = Query(None, description="East bound (see s)", ge=-180, le=180),
s: float = Query(None, description="South bound (ignored)", ge=-90, le=90),
w: float = Query(None, description="West bound (ignored)", ge=-180, le=180),
n: float = Query(None, description="North bound (ignored)", ge=-90, le=90),
e: float = Query(None, description="East bound (ignored)", ge=-180, le=180),
):
bbox_suffix = _bbox_etag_suffix(s, w, n, e)
etag = _current_etag(prefix="slow|full|" + bbox_suffix.lstrip("|") + ("|" if bbox_suffix else ""))
etag = _current_etag(prefix="slow|full|")
if request.headers.get("if-none-match") == etag:
return Response(status_code=304, headers={"ETag": etag, "Cache-Control": "no-cache"})
from services.fetchers._store import (active_layers, get_latest_data_subset_refs, get_source_timestamps_snapshot)
@@ -772,8 +549,7 @@ async def live_data_slow(
"firms_fires", "datacenters", "military_bases", "power_plants", "viirs_change_nodes",
"scanners", "weather_alerts", "ukraine_alerts", "air_quality", "volcanoes",
"fishing_activity", "psk_reporter", "correlations", "uap_sightings", "wastewater",
"crowdthreat", "threat_level", "trending_markets", "road_corridor_trends",
"malware_threats", "cyber_threats", "scm_suppliers", "telegram_osint",
"crowdthreat", "threat_level", "trending_markets",
)
freshness = get_source_timestamps_snapshot()
payload = {
@@ -814,41 +590,10 @@ async def live_data_slow(
"uap_sightings": (d.get("uap_sightings") or []) if active_layers.get("uap_sightings", True) else [],
"wastewater": (d.get("wastewater") or []) if active_layers.get("wastewater", True) else [],
"crowdthreat": (d.get("crowdthreat") or []) if active_layers.get("crowdthreat", True) else [],
"road_corridor_trends": (
d.get("road_corridor_trends") or {"updated_at": None, "corridors": []}
)
if active_layers.get("road_corridor_trends", False)
else {"updated_at": None, "corridors": []},
"malware_threats": (
d.get("malware_threats") or {"threats": [], "total": 0}
)
if active_layers.get("malware_c2", False)
else {"threats": [], "total": 0},
"cyber_threats": (
d.get("cyber_threats") or {"threats": [], "stats": {}}
)
if active_layers.get("cyber_threats", False)
else {"threats": [], "stats": {}},
"scm_suppliers": (
d.get("scm_suppliers") or {"suppliers": [], "total": 0, "critical_count": 0}
)
if active_layers.get("scm_suppliers", False)
else {"suppliers": [], "total": 0, "critical_count": 0},
"telegram_osint": (
d.get("telegram_osint") or {"posts": [], "total": 0, "geolocated": 0}
)
if active_layers.get("telegram_osint", True)
else {"posts": [], "total": 0, "geolocated": 0},
"freshness": freshness,
}
# Issue #288: bbox filter heavy/dense layers only when all four bounds
# are supplied. Static reference layers (datacenters, military bases,
# power_plants, etc.) deliberately stay world-scale so panning never
# hides the infrastructure overlay the operator already has on screen.
if _has_full_bbox(s, w, n, e):
payload = _apply_bbox_to_payload(payload, _SLOW_BBOX_HEAVY_KEYS, s, w, n, e)
return Response(
content=_live_data_json_bytes(payload),
content=orjson.dumps(_sanitize_payload(payload), default=str, option=orjson.OPT_NON_STR_KEYS),
media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"},
)
-30
View File
@@ -1,30 +0,0 @@
"""Entity graph expansion (intel layer)."""
from __future__ import annotations
from fastapi import APIRouter, Depends, HTTPException, Query, Request
from auth import require_local_operator
from limiter import limiter
from services.osint_intel.resolve import resolve_entity
router = APIRouter()
@router.get("/api/entity/expand")
@limiter.limit("30/minute")
async def entity_expand(
request: Request,
_: None = Depends(require_local_operator),
type: str = Query(..., min_length=3, max_length=32),
id: str = Query(..., min_length=2, max_length=200),
registration: str | None = Query(default=None, max_length=32),
model: str | None = Query(default=None, max_length=64),
icao24: str | None = Query(default=None, max_length=16),
) -> dict:
props = {"label": id, "registration": registration, "model": model, "icao24": icao24}
try:
return resolve_entity(type, id, props)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
except Exception as exc:
raise HTTPException(status_code=502, detail="Intelligence layer unavailable") from exc
+1 -16
View File
@@ -8,7 +8,7 @@ from services.data_fetcher import get_latest_data
from services.schemas import HealthResponse
import os
APP_VERSION = os.environ.get("_HEALTH_APP_VERSION", "0.9.82")
APP_VERSION = os.environ.get("_HEALTH_APP_VERSION", "0.9.79")
router = APIRouter()
@@ -59,12 +59,6 @@ async def health_check(request: Request):
# when the SPKI-pinned fallback is in effect. The data plane keeps
# flowing (this is by design — see ais_proxy.js comments) but observers
# who care about MITM-protection posture deserve a visible signal.
#
# Plus connectivity health (added 2026-05-23 when stream.aisstream.io
# went fully offline): ``connected`` tells the frontend whether ship
# data is actually flowing. When false, a banner explains that ships
# are unavailable due to an upstream outage — better than the user
# silently seeing an empty ocean and assuming we broke something.
ais_status: dict = {}
try:
from services.ais_stream import ais_proxy_status
@@ -75,15 +69,6 @@ async def health_check(request: Request):
# Don't override a worse top-level status if SLOs already failed,
# but escalate ok -> degraded so the field surfaces in dashboards.
top_status = "degraded"
# AIS_API_KEY not configured is "feature off", not "system broken" —
# so we only escalate when the operator opted into AIS (key set) AND
# the stream is currently offline.
if (
os.environ.get("AIS_API_KEY")
and ais_status.get("connected") is False
and top_status == "ok"
):
top_status = "degraded"
return {
"status": top_status,
-122
View File
@@ -1,122 +0,0 @@
"""Malware, cyber threats, and country risk feeds."""
from __future__ import annotations
import logging
from urllib.parse import urlparse
import requests
from fastapi import APIRouter, HTTPException, Query, Request
from fastapi.responses import StreamingResponse
from starlette.background import BackgroundTask
from limiter import limiter
from services.fetchers._store import get_latest_data_subset_refs
from services.fetchers.telegram_osint import telegram_media_host_allowed
from services.intel_feeds.country_risk import build_country_risk_payload
from services.network_utils import outbound_user_agent
logger = logging.getLogger(__name__)
router = APIRouter()
@router.get("/api/malware")
@limiter.limit("60/minute")
async def malware_feed(request: Request) -> dict:
snap = get_latest_data_subset_refs("malware_threats")
payload = snap.get("malware_threats")
if isinstance(payload, dict) and payload.get("threats") is not None:
return payload
return {"threats": [], "total": 0, "timestamp": None, "source": "abuse.ch"}
@router.get("/api/cyber-threats")
@limiter.limit("60/minute")
async def cyber_threats(request: Request) -> dict:
snap = get_latest_data_subset_refs("cyber_threats")
return snap.get("cyber_threats") or {"threats": [], "stats": {}}
@router.get("/api/country-risk")
@limiter.limit("30/minute")
async def country_risk(request: Request) -> dict:
return build_country_risk_payload()
@router.get("/api/telegram-feed")
@limiter.limit("30/minute")
async def telegram_feed(request: Request) -> dict:
snap = get_latest_data_subset_refs("telegram_osint")
payload = snap.get("telegram_osint")
if isinstance(payload, dict) and payload.get("posts") is not None:
return payload
return {"posts": [], "total": 0, "geolocated": 0, "timestamp": None}
def _infer_telegram_media_type(target_url: str, content_type: str) -> str:
clean_type = str(content_type or "").split(";", 1)[0].strip().lower()
if clean_type and clean_type not in {"application/octet-stream", "binary/octet-stream"}:
return content_type
path = str(urlparse(target_url).path or "").lower()
if path.endswith((".jpg", ".jpeg")):
return "image/jpeg"
if path.endswith(".png"):
return "image/png"
if path.endswith(".webp"):
return "image/webp"
if path.endswith(".gif"):
return "image/gif"
if path.endswith(".mp4"):
return "video/mp4"
if path.endswith(".webm"):
return "video/webm"
return content_type or "application/octet-stream"
@router.get("/api/telegram/media")
@limiter.limit("60/minute")
async def telegram_media_proxy(request: Request, url: str = Query(...)) -> StreamingResponse:
"""Stream Telegram CDN media for in-app playback (host allowlist only)."""
parsed = urlparse(url)
if parsed.scheme not in ("http", "https"):
raise HTTPException(status_code=400, detail="Invalid scheme")
if not telegram_media_host_allowed(parsed.hostname):
raise HTTPException(status_code=403, detail="Host not allowed")
headers = {
"User-Agent": (
f"Mozilla/5.0 (compatible; {outbound_user_agent('telegram-media')}) "
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
),
"Accept": "*/*",
}
if range_header := request.headers.get("range"):
headers["Range"] = range_header
try:
resp = requests.get(url, stream=True, timeout=(3, 45), headers=headers)
except requests.RequestException as exc:
logger.warning("Telegram media upstream failure %s: %s", url, exc)
raise HTTPException(status_code=502, detail="Upstream fetch failed") from exc
if resp.status_code >= 400:
resp.close()
raise HTTPException(status_code=int(resp.status_code), detail=f"Upstream returned {resp.status_code}")
media_type = _infer_telegram_media_type(url, resp.headers.get("Content-Type", "application/octet-stream"))
response_headers = {
"Cache-Control": "private, max-age=300",
"Accept-Ranges": resp.headers.get("Accept-Ranges", "bytes"),
}
if content_length := resp.headers.get("Content-Length"):
response_headers["Content-Length"] = content_length
if content_range := resp.headers.get("Content-Range"):
response_headers["Content-Range"] = content_range
return StreamingResponse(
resp.iter_content(chunk_size=65536),
status_code=resp.status_code,
media_type=media_type,
headers=response_headers,
background=BackgroundTask(resp.close),
)
+4 -21
View File
@@ -223,21 +223,11 @@ async def oracle_markets_more(request: Request, category: str = "NEWS", offset:
"has_more": offset + limit < len(cat_markets), "total": len(cat_markets)}
@router.post(
"/api/mesh/oracle/resolve",
dependencies=[Depends(require_admin)],
)
@router.post("/api/mesh/oracle/resolve")
@limiter.limit("5/minute")
@mesh_write_exempt(MeshWriteExemption.ADMIN_CONTROL)
async def oracle_resolve(request: Request):
"""Resolve a prediction market.
Issue #240 (tg12): requires admin authentication. The
``mesh_write_exempt`` decorator below is **metadata only** it tags
the route as not requiring a mesh signed-write envelope, it does
NOT itself enforce caller authorization. The ``Depends(require_admin)``
on the route decorator is what actually gates access.
"""
"""Resolve a prediction market."""
from services.mesh.mesh_oracle import oracle_ledger
body = await request.json()
market_title = body.get("market_title", "")
@@ -337,18 +327,11 @@ async def oracle_predictions(request: Request, node_id: str = ""):
active_predictions, authenticated=_scoped_view_authenticated(request, "mesh.audit"))
@router.post(
"/api/mesh/oracle/resolve-stakes",
dependencies=[Depends(require_admin)],
)
@router.post("/api/mesh/oracle/resolve-stakes")
@limiter.limit("5/minute")
@mesh_write_exempt(MeshWriteExemption.ADMIN_CONTROL)
async def oracle_resolve_stakes(request: Request):
"""Resolve all expired stake contests.
Issue #241 (tg12): requires admin authentication. See the note on
``oracle_resolve`` above ``mesh_write_exempt`` is metadata only.
"""
"""Resolve all expired stake contests."""
from services.mesh.mesh_oracle import oracle_ledger
resolutions = oracle_ledger.resolve_expired_stakes()
return {"ok": True, "resolutions": resolutions, "count": len(resolutions)}
-65
View File
@@ -55,12 +55,6 @@ def _hydrate_gate_store_from_chain(events: list) -> int:
return count
def _hydrate_dm_relay_from_chain(events: list) -> int:
import main as _m
return int(_m._hydrate_dm_relay_from_chain(events))
@router.post("/api/mesh/infonet/peer-push")
@limiter.limit("30/minute")
async def infonet_peer_push(request: Request):
@@ -88,68 +82,9 @@ async def infonet_peer_push(request: Request):
return {"ok": True, "accepted": 0, "duplicates": 0, "rejected": []}
result = infonet.ingest_events(events)
_hydrate_gate_store_from_chain(events)
_hydrate_dm_relay_from_chain(events)
return {"ok": True, **result}
@router.post("/api/mesh/dm/replicate-envelope")
@limiter.limit("60/minute")
async def dm_replicate_envelope(request: Request):
"""Accept a DM envelope replicated from a peer relay (cross-node mailbox).
Companion endpoint to ``DMRelay.replicate_to_peers`` (outbound, in
``mesh_dm_relay.py``). The sender's relay POSTs an encrypted DM
envelope here after a successful local ``deposit``; this endpoint
re-enforces the per-(sender, recipient) anti-spam cap and stores
the envelope in the local mailbox if accepted.
The cap is the network rule: a hostile sender's relay can spool
extras locally, but every honest peer enforces the cap on inbound
replication. Recipient polling from any honest peer therefore
never sees more than ``MESH_DM_PENDING_PER_SENDER_LIMIT`` pending
from any one sender, no matter how many spam attempts were tried.
Same HMAC auth pattern as ``infonet_peer_push`` and ``gate_peer_push``.
"""
content_length = request.headers.get("content-length")
if content_length:
try:
# DM envelopes are bounded by MESH_DM_MAX_MSG_BYTES + envelope
# overhead; 64 KB is a generous ceiling.
if int(content_length) > 65_536:
return Response(
content='{"ok":false,"detail":"Request body too large (max 64KB)"}',
status_code=413, media_type="application/json",
)
except (ValueError, TypeError):
pass
body_bytes = await request.body()
if not _verify_peer_push_hmac(request, body_bytes):
return Response(
content='{"ok":false,"detail":"Invalid or missing peer HMAC"}',
status_code=403, media_type="application/json",
)
try:
body = json_mod.loads(body_bytes or b"{}")
except (ValueError, TypeError):
return Response(
content='{"ok":false,"detail":"Invalid JSON body"}',
status_code=400, media_type="application/json",
)
envelope = body.get("envelope")
if not isinstance(envelope, dict):
return {"ok": False, "detail": "envelope must be an object"}
originating_peer = _peer_hmac_url_from_request(request) or ""
from services.mesh.mesh_dm_relay import dm_relay
result = dm_relay.accept_replica(
envelope=envelope,
originating_peer_url=originating_peer,
)
return result
@router.post("/api/mesh/gate/peer-push")
@limiter.limit("30/minute")
async def gate_peer_push(request: Request):
+8 -33
View File
@@ -65,7 +65,6 @@ from services.mesh.mesh_signed_events import (
logger = logging.getLogger(__name__)
router = APIRouter()
_INFONET_SYNC_RATE_LIMIT = "600/minute"
def _signed_body(request: Request) -> dict[str, Any]:
@@ -264,19 +263,6 @@ def _redact_public_event(event: dict) -> dict:
return _redact_vote_gate(_redact_key_rotate_payload(_redact_gate_metadata(event)))
def _infonet_private_transport_required() -> bool:
import main as _m
return bool(_m._infonet_private_transport_required())
def _infonet_sync_response_events(events: list[dict], request=None) -> list[dict]:
"""Build the sync event surface for the current transport policy."""
import main as _m
return _m._infonet_sync_response_events(events, request=request)
def _trusted_gate_reply_to(event: dict) -> str:
if not isinstance(event, dict):
return ""
@@ -588,12 +574,6 @@ def _hydrate_gate_store_from_chain(events: list[dict]) -> int:
pass
return count
def _hydrate_dm_relay_from_chain(events: list[dict]) -> int:
import main as _m
return int(_m._hydrate_dm_relay_from_chain(events))
# --- Safe type helpers ---
def _safe_int(val, default=0):
@@ -1551,7 +1531,7 @@ async def infonet_locator(request: Request, limit: int = Query(32, ge=4, le=128)
@router.post("/api/mesh/infonet/sync")
@limiter.limit(_INFONET_SYNC_RATE_LIMIT)
@limiter.limit("30/minute")
@mesh_write_exempt(MeshWriteExemption.PEER_GOSSIP)
async def infonet_sync_post(
request: Request,
@@ -1604,7 +1584,8 @@ async def infonet_sync_post(
elif matched_hash == GENESIS_HASH and len(locator) > 1:
forked = True
events = _infonet_sync_response_events(events, request=request)
# Filter out legacy gate_message events — not part of the public sync surface.
events = [_redact_public_event(e) for e in events if e.get("event_type") != "gate_message"]
response = {
"events": events,
@@ -1665,7 +1646,7 @@ async def mesh_rns_status(request: Request):
@router.get("/api/mesh/infonet/sync")
@limiter.limit(_INFONET_SYNC_RATE_LIMIT)
@limiter.limit("30/minute")
async def infonet_sync(
request: Request,
after_hash: str = "",
@@ -1703,7 +1684,8 @@ async def infonet_sync(
)
base = after_hash or GENESIS_HASH
events = infonet.get_events_after(base, limit=limit)
events = _infonet_sync_response_events(events, request=request)
# Filter out legacy gate_message events — not part of the public sync surface.
events = [_redact_public_event(e) for e in events if e.get("event_type") != "gate_message"]
return {
"events": events,
"after_hash": base,
@@ -1742,7 +1724,6 @@ async def infonet_ingest(request: Request):
result = infonet.ingest_events(events)
_hydrate_gate_store_from_chain(events)
_hydrate_dm_relay_from_chain(events)
return {"ok": True, **result}
@@ -2298,12 +2279,6 @@ async def infonet_event(request: Request, event_id: str):
)
return _strip_gate_for_access(evt, access)
return {"ok": False, "detail": "Event not found"}
if evt.get("event_type") == "dm_message":
return await _private_plane_refusal_response(
request,
status_code=403,
payload=_private_plane_access_denied_payload(),
)
if evt.get("event_type") == "gate_message":
gate_id = str(evt.get("payload", {}).get("gate", "") or evt.get("gate", "") or "").strip()
access = _verify_gate_access(request, gate_id) if gate_id else ""
@@ -2328,7 +2303,7 @@ async def infonet_node_events(
from services.mesh.mesh_hashchain import infonet
events = infonet.get_events_by_node(node_id, limit=limit)
events = [e for e in events if e.get("event_type") not in {"gate_message", "dm_message"}]
events = [e for e in events if e.get("event_type") != "gate_message"]
events = [_redact_public_event(e) for e in infonet.decorate_events(events)]
events = _redact_public_node_history(
events,
@@ -2353,7 +2328,7 @@ async def infonet_events_by_type(
else:
events = list(reversed(infonet.events))
events = events[offset : offset + limit]
events = [e for e in events if e.get("event_type") not in {"gate_message", "dm_message"}]
events = [e for e in events if e.get("event_type") != "gate_message"]
events = [_redact_public_event(e) for e in infonet.decorate_events(events)]
return {
"events": events,
-151
View File
@@ -1,151 +0,0 @@
"""Operator OSINT recon routes (server-side proxies, SSRF guarded)."""
from __future__ import annotations
from fastapi import APIRouter, Depends, HTTPException, Query, Request
from pydantic import BaseModel, Field
from auth import require_local_operator
from limiter import limiter
from services.osint import lookups
router = APIRouter(dependencies=[Depends(require_local_operator)])
_ALLOWED_SCHEMAS = {
"Person",
"Organization",
"Company",
"Vessel",
"Airplane",
"LegalEntity",
}
class SweepScanRequest(BaseModel):
ip: str = Field(min_length=7, max_length=45)
cidr: int = Field(default=24, ge=24, le=32)
def _bad_request(exc: ValueError) -> HTTPException:
return HTTPException(status_code=400, detail=str(exc))
@router.get("/api/osint/ip")
@limiter.limit("20/minute")
async def osint_ip(request: Request, ip: str = Query(..., min_length=7, max_length=45)) -> dict:
try:
return lookups.lookup_ip(ip)
except ValueError as exc:
raise _bad_request(exc) from exc
@router.get("/api/osint/dns")
@limiter.limit("20/minute")
async def osint_dns(request: Request, domain: str = Query(..., min_length=4, max_length=253)) -> dict:
try:
return lookups.lookup_dns(domain)
except ValueError as exc:
raise _bad_request(exc) from exc
@router.get("/api/osint/whois")
@limiter.limit("20/minute")
async def osint_whois(request: Request, domain: str = Query(..., min_length=4, max_length=253)) -> dict:
try:
return lookups.lookup_whois(domain)
except ValueError as exc:
raise _bad_request(exc) from exc
@router.get("/api/osint/certs")
@limiter.limit("20/minute")
async def osint_certs(request: Request, domain: str = Query(..., min_length=4, max_length=253)) -> dict:
try:
return lookups.lookup_certs(domain)
except ValueError as exc:
raise _bad_request(exc) from exc
@router.get("/api/osint/threats")
@limiter.limit("20/minute")
async def osint_threats(request: Request, query: str | None = Query(default=None, max_length=253)) -> dict:
return lookups.lookup_threats(query)
@router.get("/api/osint/bgp")
@limiter.limit("20/minute")
async def osint_bgp(request: Request, query: str = Query(..., min_length=2, max_length=64)) -> dict:
try:
return lookups.lookup_bgp(query)
except ValueError as exc:
raise _bad_request(exc) from exc
@router.get("/api/osint/sanctions")
@limiter.limit("20/minute")
async def osint_sanctions(
request: Request,
query: str = Query(..., min_length=4, max_length=200),
schema: str | None = Query(default=None),
limit: int = Query(default=25, ge=1, le=100),
) -> dict:
if schema and schema not in _ALLOWED_SCHEMAS:
raise HTTPException(status_code=400, detail=f"Invalid schema. Allowed: {', '.join(sorted(_ALLOWED_SCHEMAS))}")
return lookups.lookup_sanctions(query, schema=schema, limit=limit)
@router.get("/api/osint/cve")
@limiter.limit("30/minute")
async def osint_cve(request: Request, cve: str = Query(..., min_length=10, max_length=32)) -> dict:
try:
return lookups.lookup_cve(cve)
except ValueError as exc:
raise HTTPException(status_code=404 if "not found" in str(exc).lower() else 400, detail=str(exc)) from exc
@router.get("/api/osint/mac")
@limiter.limit("20/minute")
async def osint_mac(request: Request, mac: str = Query(..., min_length=5, max_length=32)) -> dict:
return lookups.lookup_mac(mac)
@router.get("/api/osint/github")
@limiter.limit("20/minute")
async def osint_github(request: Request, username: str = Query(..., min_length=1, max_length=64)) -> dict:
try:
return lookups.lookup_github(username)
except ValueError as exc:
raise HTTPException(status_code=404, detail=str(exc)) from exc
@router.get("/api/osint/leaks")
@limiter.limit("10/minute")
async def osint_leaks(request: Request, email: str = Query(..., min_length=5, max_length=254)) -> dict:
try:
return lookups.lookup_leaks(email)
except ValueError as exc:
raise _bad_request(exc) from exc
@router.get("/api/osint/sweep")
@limiter.limit("5/minute")
async def osint_sweep_init(
request: Request,
ip: str = Query(..., min_length=7, max_length=45),
cidr: int = Query(default=24, ge=24, le=32),
) -> dict:
try:
return lookups.sweep_init(ip, cidr)
except ValueError as exc:
raise _bad_request(exc) from exc
@router.post("/api/osint/sweep/scan")
@limiter.limit("3/minute")
async def osint_sweep_scan(request: Request, payload: SweepScanRequest) -> dict:
try:
subnet = lookups.subnet_start_for(payload.ip, payload.cidr)
scan = lookups.sweep_scan(subnet, payload.cidr)
init = lookups.sweep_init(payload.ip, payload.cidr)
return {**init, **scan, "subnet": f"{subnet}/{payload.cidr}"}
except ValueError as exc:
raise _bad_request(exc) from exc
-105
View File
@@ -1,105 +0,0 @@
"""Road corridor Sentinel-2 freight trend endpoints (opt-in slow layer)."""
from fastapi import APIRouter, HTTPException, Query, Request
from pydantic import BaseModel, Field
from limiter import limiter
from services.road_corridor_sat.config import optional_deps_available, road_corridor_sat_enabled
from services.road_corridor_sat.credentials import sentinel_credentials_configured
from services.road_corridor_sat.jobs import enqueue_analyze, get_job, get_latest_job, job_to_dict
from services.road_corridor_sat.presets import CORRIDOR_PRESETS, get_preset
from services.road_corridor_sat.storage import build_trends_payload, preset_metadata
router = APIRouter()
def _status_payload() -> dict:
latest = get_latest_job()
return {
"enabled": road_corridor_sat_enabled(),
"deps_installed": optional_deps_available(),
"credentials_configured": sentinel_credentials_configured(),
"preset_count": len(CORRIDOR_PRESETS),
"attribution": "backend/third_party/drishx/NOTICE.md",
"active_job": job_to_dict(latest) if latest and latest.status in {"queued", "running"} else None,
}
def _require_analyze_ready() -> None:
if not optional_deps_available():
raise HTTPException(
status_code=503,
detail="Install optional road-corridor dependencies (uv sync --extra road-corridor)",
)
if not sentinel_credentials_configured():
raise HTTPException(
status_code=503,
detail="Set SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET in Imagery settings",
)
class AnalyzeRequest(BaseModel):
lat: float = Field(ge=-90, le=90)
lon: float = Field(ge=-180, le=180)
label: str | None = Field(default=None, max_length=120)
@router.get("/api/road-corridors/status")
@limiter.limit("60/minute")
async def road_corridors_status(request: Request) -> dict:
return {"ok": True, **_status_payload()}
@router.get("/api/road-corridors")
@limiter.limit("60/minute")
async def list_road_corridors(request: Request) -> dict:
return {
"ok": True,
"status": _status_payload(),
"presets": CORRIDOR_PRESETS,
"trends": build_trends_payload(),
}
@router.post("/api/road-corridors/analyze")
@limiter.limit("6/minute")
async def analyze_road_corridor_here(request: Request, payload: AnalyzeRequest) -> dict:
"""Start an on-demand Sentinel-2 corridor analysis at map center."""
_require_analyze_ready()
try:
job = enqueue_analyze(payload.lat, payload.lon, payload.label)
except RuntimeError as exc:
if str(exc) == "analysis_already_running":
active = get_latest_job()
raise HTTPException(
status_code=409,
detail="Analysis already in progress",
headers={"X-Job-Id": active.job_id if active else ""},
) from exc
raise
return {"ok": True, **job_to_dict(job)}
@router.get("/api/road-corridors/analyze/status")
@limiter.limit("120/minute")
async def analyze_road_corridor_status(
request: Request,
job_id: str | None = Query(default=None),
) -> dict:
job = get_job(job_id) if job_id else get_latest_job()
if job is None:
return {"ok": True, "job": None}
return {"ok": True, "job": job_to_dict(job)}
@router.get("/api/road-corridors/{preset_id}")
@limiter.limit("60/minute")
async def get_road_corridor(preset_id: str, request: Request) -> dict:
meta = preset_metadata(preset_id)
if meta is None:
raise HTTPException(status_code=404, detail="Unknown corridor preset")
preset = get_preset(preset_id)
if preset is None:
# Ad-hoc viewport runs are stored on disk but not in CORRIDOR_PRESETS.
return {"ok": True, "preset": None, "result": meta, "status": _status_payload()}
return {"ok": True, "preset": preset, "result": meta, "status": _status_payload()}
-16
View File
@@ -1,16 +0,0 @@
"""Supply-chain risk overlay."""
from __future__ import annotations
from fastapi import APIRouter, Depends, Request
from auth import require_local_operator
from limiter import limiter
from services.scm.suppliers import build_scm_payload
router = APIRouter()
@router.get("/api/scm-suppliers")
@limiter.limit("30/minute")
async def scm_suppliers(request: Request, _: None = Depends(require_local_operator)) -> dict:
return build_scm_payload()
+10 -120
View File
@@ -85,63 +85,7 @@ async def api_geocode_reverse(
return await asyncio.to_thread(reverse_geocode, lat, lng, local_only)
# ── Wikimedia proxy (#360) — browser calls these instead of wikipedia.org ───
@router.get("/api/wikipedia/summary")
@limiter.limit("60/minute")
def api_wikipedia_summary(
request: Request,
title: str = Query(..., min_length=1, max_length=256),
):
"""Proxy Wikipedia REST summaries through the self-hosted backend."""
from services.region_dossier import fetch_wikipedia_page_summary
summary = fetch_wikipedia_page_summary(title)
if summary is None:
return JSONResponse(status_code=404, content={"detail": "not_found"})
return summary
class WikidataSparqlRequest(BaseModel):
query: str
@router.post("/api/wikidata/sparql")
@limiter.limit("30/minute")
def api_wikidata_sparql(request: Request, body: WikidataSparqlRequest):
"""Proxy Wikidata SPARQL so the browser never contacts query.wikidata.org."""
from services.region_dossier import fetch_wikidata_sparql_bindings
q = (body.query or "").strip()
if len(q) > 12_000:
raise HTTPException(400, "SPARQL query too large")
bindings = fetch_wikidata_sparql_bindings(q)
return {"bindings": bindings}
# ── Sentinel proxy routes (Issue #299/#300/#301, reported by tg12) ──────────
# These three endpoints relay external Sentinel / Planetary Computer
# requests through the backend to avoid browser CORS blocks. They are
# operator-only helpers — they MUST NOT be callable by anonymous remote
# users, because:
#
# * /api/sentinel/token — caller supplies their own Sentinel client_id +
# client_secret. Without operator gating, the backend becomes a free
# anonymous OAuth-mint relay for any Copernicus account.
# * /api/sentinel/tile — same shape as the token route but for tile
# imagery. Without gating, the backend acts as an anonymous quota and
# bandwidth relay for Sentinel Hub Process API calls.
# * /api/sentinel2/search — hits the Planetary Computer STAC search API
# and falls back to Esri imagery. No caller credentials are involved,
# but the route is still an anonymous external-search relay. We gate
# it the same way for consistency with the rest of the operator-only
# helper surface.
#
# Gating is via require_local_operator (loopback / bridge / admin key),
# matching the same allowlist already used by /api/region-dossier and
# the other operator helpers further up this file. Single-operator nodes
# see no behavior change — their dashboard already lives on loopback or
# the trusted Docker bridge, so it still resolves.
@router.get("/api/sentinel2/search", dependencies=[Depends(require_local_operator)])
@router.get("/api/sentinel2/search")
@limiter.limit("30/minute")
def api_sentinel2_search(
request: Request,
@@ -153,60 +97,18 @@ def api_sentinel2_search(
return search_sentinel2_scene(lat, lng)
# Issue #298 (tg12): Sentinel credentials moved server-side
# ---------------------------------------------------------------------------
# Previously the frontend kept Copernicus CDSE client_id + client_secret in
# browser localStorage / sessionStorage and forwarded them on every tile
# request through this proxy. That exposed real third-party credentials to
# any same-origin script (XSS, malicious browser extension, dev-tools HAR
# export).
#
# Resolution order (first match wins):
# 1. Request body — kept for back-compat. A small number of legacy
# operator setups may still post credentials; we don't break them.
# 2. Backend .env — SENTINEL_CLIENT_ID / SENTINEL_CLIENT_SECRET, managed
# through the existing /api/settings/api-keys flow (admin-gated).
#
# The frontend in ``sentinelHub.ts`` no longer reads browser storage and no
# longer forwards credentials — every dashboard request now lands in (2).
# The require_local_operator gate (added in #303/PR #303) stays — both layers
# are independent: the gate blocks anonymous callers, the env fallback lets
# legitimate (gated) callers omit credentials from the body.
# ---------------------------------------------------------------------------
def _resolve_sentinel_credentials(body_id: str, body_secret: str) -> tuple[str, str]:
"""Return (client_id, client_secret) using body values when present,
otherwise falling back to backend .env. Empty strings if neither is set."""
import os as _os
cid = (body_id or "").strip() or (_os.environ.get("SENTINEL_CLIENT_ID", "") or "").strip()
csec = (body_secret or "").strip() or (_os.environ.get("SENTINEL_CLIENT_SECRET", "") or "").strip()
return cid, csec
@router.post("/api/sentinel/token", dependencies=[Depends(require_local_operator)])
@router.post("/api/sentinel/token")
@limiter.limit("60/minute")
async def api_sentinel_token(request: Request):
"""Proxy Copernicus CDSE OAuth2 token request (avoids browser CORS block).
Credentials are resolved by ``_resolve_sentinel_credentials`` body
fields are honored for back-compat, otherwise the backend .env values
populated through ``/api/settings/api-keys`` are used.
"""
"""Proxy Copernicus CDSE OAuth2 token request (avoids browser CORS block)."""
import requests as req
body = await request.body()
from urllib.parse import parse_qs
params = parse_qs(body.decode("utf-8"))
body_id = params.get("client_id", [""])[0]
body_secret = params.get("client_secret", [""])[0]
client_id, client_secret = _resolve_sentinel_credentials(body_id, body_secret)
client_id = params.get("client_id", [""])[0]
client_secret = params.get("client_secret", [""])[0]
if not client_id or not client_secret:
# Friendly, non-hostile error — points the operator at the place
# they configure other API keys instead of just saying "required".
raise HTTPException(
400,
"Sentinel client_id/client_secret are not configured. "
"Set SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET in the "
"API Keys panel (Settings → API Keys) or your backend .env.",
)
raise HTTPException(400, "client_id and client_secret required")
token_url = "https://identity.dataspace.copernicus.eu/auth/realms/CDSE/protocol/openid-connect/token"
try:
resp = await asyncio.to_thread(req.post, token_url,
@@ -250,7 +152,7 @@ import os as _os
_SH_TOKEN_CACHE_HMAC_KEY = _os.urandom(32)
@router.post("/api/sentinel/tile", dependencies=[Depends(require_local_operator)])
@router.post("/api/sentinel/tile")
@limiter.limit("300/minute")
async def api_sentinel_tile(request: Request):
"""Proxy Sentinel Hub Process API tile request (avoids CORS block)."""
@@ -261,11 +163,8 @@ async def api_sentinel_tile(request: Request):
except Exception:
return JSONResponse(status_code=422, content={"ok": False, "detail": "invalid JSON body"})
# Issue #298: same resolution order as /api/sentinel/token — body
# values for back-compat, otherwise backend .env.
body_id = body.get("client_id", "")
body_secret = body.get("client_secret", "")
client_id, client_secret = _resolve_sentinel_credentials(body_id, body_secret)
client_id = body.get("client_id", "")
client_secret = body.get("client_secret", "")
preset = body.get("preset", "TRUE-COLOR")
date_str = body.get("date", "")
z = body.get("z", 0)
@@ -273,16 +172,7 @@ async def api_sentinel_tile(request: Request):
y = body.get("y", 0)
if not client_id or not client_secret or not date_str:
# Distinguish "no creds" from "no date" so the operator knows
# what to fix. Same friendly pointer as the /token route.
if not client_id or not client_secret:
raise HTTPException(
400,
"Sentinel client_id/client_secret are not configured. "
"Set SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET in the "
"API Keys panel (Settings → API Keys) or your backend .env.",
)
raise HTTPException(400, "date required")
raise HTTPException(400, "client_id, client_secret, and date required")
now = _time.time()
credential_fp = _credential_fingerprint(client_id, client_secret)
+2 -7
View File
@@ -160,13 +160,8 @@ router = APIRouter()
# --- Constants ---
# Issue #243 (tg12): the public redaction now exposes only the bare
# "is this on?" boolean. Transport choice, anonymous-mode state, and
# the named privacy profile were all leaking actionable recon to
# unauthenticated callers and are now gated behind authenticated reads.
# See the matching block in backend/main.py for the full rationale.
_WORMHOLE_PUBLIC_SETTINGS_FIELDS = {"enabled"}
_WORMHOLE_PUBLIC_PROFILE_FIELDS = {"wormhole_enabled"}
_WORMHOLE_PUBLIC_SETTINGS_FIELDS = {"enabled", "transport", "anonymous_mode"}
_WORMHOLE_PUBLIC_PROFILE_FIELDS = {"profile", "wormhole_enabled"}
_PRIVATE_LANE_CONTROL_FIELDS = {"private_lane_tier", "private_lane_policy"}
_PUBLIC_RNS_STATUS_FIELDS = {"enabled", "ready", "configured_peers", "active_peers"}
_NODE_PUBLIC_EVENT_HOOK_REGISTERED = False
+1 -11
View File
@@ -20,17 +20,7 @@ OUT_PATH = Path(__file__).parent.parent / "data" / "power_plants.json"
def main() -> None:
print(f"Downloading WRI Global Power Plant Database from GitHub...")
# Round 7a: release-time data refresher. Uses the per-operator UA if
# available, otherwise a release-script-specific identifier. This
# script is run by the maintainer at release time, NOT at runtime,
# so an aggregate UA is acceptable; we still use the helper so the
# behavior matches the rest of the project.
try:
from services.network_utils import outbound_user_agent
ua = outbound_user_agent("release-script-power-plants")
except Exception:
ua = "operator-release-script (purpose: power-plants)"
req = urllib.request.Request(CSV_URL, headers={"User-Agent": ua})
req = urllib.request.Request(CSV_URL, headers={"User-Agent": "ShadowBroker-OSINT/1.0"})
with urllib.request.urlopen(req, timeout=60) as resp:
raw = resp.read().decode("utf-8")
-5
View File
@@ -167,11 +167,6 @@ def cmd_hash(args: argparse.Namespace) -> int:
print("")
print("Updater pin:")
print(f"MESH_UPDATE_SHA256={digest}")
print("")
print("Release checklist:")
print(" - add this digest to SHA256SUMS.txt for the GitHub release")
print(" - add/update backend/data/release_digests.json for bundled updater verification")
print(" - keep MESH_UPDATE_SHA256 available as the operator override path")
return 0 if asset_matches else 2
+9 -28
View File
@@ -92,37 +92,18 @@ SECRET_REGEX+='pypi-[0-9a-zA-Z-]{50,}' # PyPI token
TEXT_FILES=$(grep -ivE '\.(png|jpg|jpeg|gif|ico|svg|woff2?|ttf|eot|pbf|zip|tar|gz|db|sqlite|xlsx|pdf|mp[34]|wav|ogg|webm|webp|avif)$' "$FILELIST" | grep -v 'scan-secrets\.sh$' || true)
if [[ -n "$TEXT_FILES" ]]; then
# Known-public exclusions: lines matching `<host-or-ip> ssh-<algo> <key>`
# are SSH known_hosts entries — the host's PUBLIC fingerprint, which is
# by definition safe to commit (the whole point of pinning known_hosts
# is to publish the fingerprint widely so MITM is detectable). Filter
# these out before flagging the file.
KNOWN_HOSTS_LINE='^[[:space:]]*[a-zA-Z0-9._:,*-]+([[:space:]]+[a-zA-Z0-9._:,*-]+)?[[:space:]]+(ssh-rsa|ssh-ed25519|ssh-dss|ecdsa-sha2-nistp256|ecdsa-sha2-nistp384|ecdsa-sha2-nistp521)[[:space:]]+AAAA'
# Use grep with file list, skip missing/binary, limit output
CONTENT_HITS=$(echo "$TEXT_FILES" | xargs grep -lE "$SECRET_REGEX" 2>/dev/null || true)
if [[ -n "$CONTENT_HITS" ]]; then
REAL_HITS=""
REAL_REPORT=""
while IFS= read -r f; do
[[ -z "$f" ]] && continue
# Re-grep this file, but filter out known_hosts-style lines.
FILE_HITS=$(grep -nE "$SECRET_REGEX" "$f" 2>/dev/null | grep -vE "$KNOWN_HOSTS_LINE" || true)
if [[ -n "$FILE_HITS" ]]; then
REAL_HITS+="$f"$'\n'
REAL_REPORT+=" ${RED}$f${NC}"$'\n'
# Show first 2 matching lines for context
while IFS= read -r line; do
[[ -z "$line" ]] && continue
REAL_REPORT+=" ${YELLOW}$line${NC}"$'\n'
done < <(echo "$FILE_HITS" | head -2)
fi
done <<< "$CONTENT_HITS"
if [[ -n "$REAL_HITS" ]]; then
echo -e "\n${RED}BLOCKED: Embedded secrets/tokens found in:${NC}"
echo -en "$REAL_REPORT"
FOUND=1
fi
echo -e "\n${RED}BLOCKED: Embedded secrets/tokens found in:${NC}"
echo "$CONTENT_HITS" | while read -r f; do
echo -e " ${RED}$f${NC}"
# Show first matching line for context
grep -nE "$SECRET_REGEX" "$f" 2>/dev/null | head -2 | while read -r line; do
echo -e " ${YELLOW}$line${NC}"
done
done
FOUND=1
fi
fi
+6 -53
View File
@@ -350,58 +350,19 @@ _proxy_process = None
# path during an upstream cert outage. Surfaced via ais_proxy_status() for
# /api/health.
_proxy_status: dict = {}
# Upstream-connectivity telemetry (added when stream.aisstream.io went fully
# offline on 2026-05-23). ``_last_msg_at`` is the unix timestamp of the most
# recent vessel message received from the proxy. ``_proxy_spawn_count`` is
# how many times we've started the node proxy; combined with no recent
# messages it tells us the proxy is respawning in a tight loop because the
# upstream is unreachable. Surfaced via ais_proxy_status() so the operator
# can see "AIS is dead" instead of guessing whether it's their map filter,
# their api key, or upstream.
_last_msg_at: float = 0.0
_proxy_spawn_count: int = 0
_VESSEL_TRAIL_INTERVAL_S = 120
_VESSEL_TRAIL_MAX_POINTS = 240
# How stale "last vessel message" can be before we consider the stream
# disconnected. AISStream typically pushes multiple messages/sec, so a 60s
# gap means something's wrong upstream or in transit.
_AIS_CONNECTED_FRESHNESS_S = 60
def ais_proxy_status() -> dict:
"""Return a copy of the latest ais_proxy.js status + connectivity health.
"""Return a copy of the latest ais_proxy.js status (issue #258).
Fields:
* ``degraded_tls`` (bool, issue #258) — true when the proxy is using
SPKI-pinned fallback because AISStream's cert expired.
* ``connected`` (bool) true when we received a vessel message in
the last ``_AIS_CONNECTED_FRESHNESS_S`` seconds.
* ``last_msg_age_seconds`` (int | None) seconds since the last
vessel message; None if we've never received one.
* ``proxy_spawn_count`` (int) how many times we've spawned the
node proxy. Sustained increases here without ``connected`` means
we're respawning in a tight loop because upstream is dead.
Returns an empty dict when called before the AIS subsystem starts
(e.g. during tests or when no API key is set).
Currently surfaces ``degraded_tls`` (bool) which is true when the
proxy is using SPKI-pinned fallback because AISStream's cert expired.
Returns an empty dict when no status has been received yet.
"""
with _vessels_lock:
status = dict(_proxy_status)
last = _last_msg_at
spawns = _proxy_spawn_count
now = time.time()
if last > 0:
last_age = int(now - last)
status["last_msg_age_seconds"] = last_age
status["connected"] = last_age <= _AIS_CONNECTED_FRESHNESS_S
else:
status["last_msg_age_seconds"] = None
status["connected"] = False
status["proxy_spawn_count"] = spawns
return status
return dict(_proxy_status)
import os
@@ -627,10 +588,8 @@ def _ais_stream_loop():
env=proxy_env,
**popen_kwargs,
)
global _proxy_spawn_count
with _vessels_lock:
_proxy_process = process
_proxy_spawn_count += 1
# Drain stderr in a background thread to prevent deadlock
import threading
@@ -686,15 +645,9 @@ def _ais_stream_loop():
if not mmsi:
continue
# Telemetry: stamp the timestamp of the most recent real
# vessel message. ais_proxy_status() reads this to decide
# whether the stream is currently "connected" — i.e. has
# any data flowed in the last 60s.
global _last_msg_at
with _vessels_lock:
_last_msg_at = time.time()
if mmsi not in _vessels:
_vessels[mmsi] = {"_updated": _last_msg_at}
_vessels[mmsi] = {"_updated": time.time()}
vessel = _vessels[mmsi]
# Update position from PositionReport or StandardClassBPositionReport
-34
View File
@@ -51,15 +51,6 @@ API_REGISTRY = [
"url": "https://aisstream.io/",
"required": True,
},
{
"id": "gfw_api_token",
"env_key": "GFW_API_TOKEN",
"name": "Global Fishing Watch",
"description": "Bearer token for Global Fishing Watch fishing-vessel activity events (Fishing Activity map layer). Free registration at globalfishingwatch.org.",
"category": "Maritime",
"url": "https://globalfishingwatch.org/our-apis/",
"required": False,
},
{
"id": "adsb_lol",
"env_key": None,
@@ -159,31 +150,6 @@ API_REGISTRY = [
"url": "https://finnhub.io/register",
"required": False,
},
# Issue #298 (tg12): Sentinel Hub / Copernicus Data Space Ecosystem
# credentials were previously held in browser localStorage / sessionStorage
# by the Settings panel. Moved server-side to the same .env-backed
# store every other third-party API key lives in. The Sentinel proxy
# routes (POST /api/sentinel/token, /tile) now fall back to these
# env values when the request body omits credentials — see
# backend/routers/tools.py for the resolution order.
{
"id": "sentinel_client_id",
"env_key": "SENTINEL_CLIENT_ID",
"name": "Sentinel Hub / Copernicus — Client ID",
"description": "OAuth2 client ID for Copernicus Data Space Ecosystem (CDSE). Required for the Sentinel-2 imagery overlay and the right-click Sentinel-2 Intel Card. Sign in at dataspace.copernicus.eu and create OAuth credentials.",
"category": "Imagery",
"url": "https://dataspace.copernicus.eu/",
"required": False,
},
{
"id": "sentinel_client_secret",
"env_key": "SENTINEL_CLIENT_SECRET",
"name": "Sentinel Hub / Copernicus — Client Secret",
"description": "OAuth2 client secret paired with the Client ID above. Used by the backend to mint short-lived access tokens against the CDSE identity provider. Stored in the backend .env; never sent to the browser.",
"category": "Imagery",
"url": "https://dataspace.copernicus.eu/",
"required": False,
},
]
ALLOWED_ENV_KEYS = {
+173 -407
View File
@@ -1,90 +1,46 @@
"""
Carrier Strike Group OSINT Tracker
===================================
Maintains estimated positions for US Navy Carrier Strike Groups with
honest provenance and freshness signals.
Scrapes multiple OSINT sources to maintain current estimated positions
for US Navy Carrier Strike Groups. Updates on startup + 00:00 & 12:00 UTC.
Issues #244 / #245 / #246 (tg12 external audit):
The previous implementation baked a snapshot of USNI News Fleet &
Marine Tracker positions (March 9, 2026) into the registry as
``fallback_lat``/``fallback_lng`` and stamped ``updated = now()``
every time the dossier was rendered. That presented stale editorial
data as live state. It also persisted GDELT-derived positions to the
on-disk cache with no freshness signal, so a single news mention from
months ago could keep overriding the (already-stale) registry default
indefinitely.
Architecture after this PR:
::
backend/data/carrier_seed.json read-only, shipped with image,
used ONCE on first-ever startup
to bootstrap carrier_cache.json.
backend/data/carrier_cache.json mutable, lives in the runtime data
volume, written by every GDELT
refresh + any future source.
Startup flow:
1. ``carrier_cache.json`` exists? load it.
2. Otherwise, copy ``carrier_seed.json`` ``carrier_cache.json``,
then load it. (This happens once, ever, per install.)
3. Background: GDELT fetch runs. Any carrier mentioned in fresh news
gets its entry replaced with the news-derived position.
``position_source_at`` is set to the news article timestamp.
Freshness is a *labelling* decision, not an eviction decision:
- ``position_source_at`` within the configurable freshness window
(default 14 days) ``position_confidence = "recent"``.
- Older than that ``position_confidence = "stale"``.
- Bootstrapped from the seed file (never updated) ``"seed"``.
- No cache entry at all (e.g. a carrier added to the registry after
first install) carrier renders at its homeport with
``"homeport_default"``.
Carriers are never hidden, never teleported, never disappeared. The
position the user sees is always the last position the system actually
observed, with an honest "as-of" timestamp the UI can render however
it likes. A year from now, the runtime cache reflects whatever this
install has observed via GDELT not the seed snapshot.
Sources:
1. GDELT News API recent carrier movement headlines
2. WikiVoyage / public port-call databases
3. Fallback last-known or static OSINT estimates
"""
import os
import re
import json
import time
import logging
import threading
import random
import shutil
from datetime import datetime, timedelta, timezone
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
from typing import Dict, List, Optional
from services.network_utils import fetch_with_curl
logger = logging.getLogger(__name__)
# -----------------------------------------------------------------
# Carrier registry: hull number → identity only.
#
# Issue #244 (tg12): the previous registry carried hard-coded
# ``fallback_lat``/``fallback_lng`` that were dated editorial
# snapshots from a 2026-03-09 article. Those fields are DELETED. The
# registry is now identity + homeport only; positions are sourced
# exclusively from carrier_cache.json (and via that, from the
# bootstrap seed or live OSINT).
# Carrier registry: hull number → metadata + fallback position
# -----------------------------------------------------------------
CARRIER_REGISTRY: Dict[str, dict] = {
# Fallback positions sourced from USNI News Fleet & Marine Tracker (Mar 9, 2026)
# https://news.usni.org/2026/03/09/usni-news-fleet-and-marine-tracker-march-9-2026
# --- Bremerton, WA (Naval Base Kitsap) ---
# Distinct pier positions along Sinclair Inlet so carriers don't stack
"CVN-68": {
"name": "USS Nimitz (CVN-68)",
"wiki": "https://en.wikipedia.org/wiki/USS_Nimitz",
"homeport": "Bremerton, WA",
"homeport_lat": 47.5535,
"homeport_lng": -122.6400,
"fallback_lat": 47.5535,
"fallback_lng": -122.6400,
"fallback_heading": 90,
"fallback_desc": "Bremerton, WA (Maintenance)",
},
"CVN-76": {
"name": "USS Ronald Reagan (CVN-76)",
@@ -92,14 +48,23 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "Bremerton, WA",
"homeport_lat": 47.5580,
"homeport_lng": -122.6360,
"fallback_lat": 47.5580,
"fallback_lng": -122.6360,
"fallback_heading": 90,
"fallback_desc": "Bremerton, WA (Decommissioning)",
},
# --- Norfolk, VA (Naval Station Norfolk) ---
# Piers run N-S along Willoughby Bay; each carrier gets a distinct berth
"CVN-69": {
"name": "USS Dwight D. Eisenhower (CVN-69)",
"wiki": "https://en.wikipedia.org/wiki/USS_Dwight_D._Eisenhower",
"homeport": "Norfolk, VA",
"homeport_lat": 36.9465,
"homeport_lng": -76.3265,
"fallback_lat": 36.9465,
"fallback_lng": -76.3265,
"fallback_heading": 0,
"fallback_desc": "Norfolk, VA (Post-deployment maintenance)",
},
"CVN-78": {
"name": "USS Gerald R. Ford (CVN-78)",
@@ -107,6 +72,10 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "Norfolk, VA",
"homeport_lat": 36.9505,
"homeport_lng": -76.3250,
"fallback_lat": 18.0,
"fallback_lng": 39.5,
"fallback_heading": 0,
"fallback_desc": "Red Sea — Operation Epic Fury (USNI Mar 9)",
},
"CVN-74": {
"name": "USS John C. Stennis (CVN-74)",
@@ -114,6 +83,10 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "Norfolk, VA",
"homeport_lat": 36.9540,
"homeport_lng": -76.3235,
"fallback_lat": 36.98,
"fallback_lng": -76.43,
"fallback_heading": 0,
"fallback_desc": "Newport News, VA (RCOH refueling overhaul)",
},
"CVN-75": {
"name": "USS Harry S. Truman (CVN-75)",
@@ -121,6 +94,10 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "Norfolk, VA",
"homeport_lat": 36.9580,
"homeport_lng": -76.3220,
"fallback_lat": 36.0,
"fallback_lng": 15.0,
"fallback_heading": 0,
"fallback_desc": "Mediterranean Sea deployment (USNI Mar 9)",
},
"CVN-77": {
"name": "USS George H.W. Bush (CVN-77)",
@@ -128,14 +105,23 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "Norfolk, VA",
"homeport_lat": 36.9620,
"homeport_lng": -76.3210,
"fallback_lat": 36.5,
"fallback_lng": -74.0,
"fallback_heading": 0,
"fallback_desc": "Atlantic — Pre-deployment workups (USNI Mar 9)",
},
# --- San Diego, CA (Naval Base San Diego) ---
# Carrier piers along the east shore of San Diego Bay, spread N-S
"CVN-70": {
"name": "USS Carl Vinson (CVN-70)",
"wiki": "https://en.wikipedia.org/wiki/USS_Carl_Vinson",
"homeport": "San Diego, CA",
"homeport_lat": 32.6840,
"homeport_lng": -117.1290,
"fallback_lat": 32.6840,
"fallback_lng": -117.1290,
"fallback_heading": 180,
"fallback_desc": "San Diego, CA (Homeport)",
},
"CVN-71": {
"name": "USS Theodore Roosevelt (CVN-71)",
@@ -143,6 +129,10 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "San Diego, CA",
"homeport_lat": 32.6885,
"homeport_lng": -117.1280,
"fallback_lat": 32.6885,
"fallback_lng": -117.1280,
"fallback_heading": 180,
"fallback_desc": "San Diego, CA (Maintenance)",
},
"CVN-72": {
"name": "USS Abraham Lincoln (CVN-72)",
@@ -150,6 +140,10 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "San Diego, CA",
"homeport_lat": 32.6925,
"homeport_lng": -117.1275,
"fallback_lat": 20.0,
"fallback_lng": 64.0,
"fallback_heading": 0,
"fallback_desc": "Arabian Sea — Operation Epic Fury (USNI Mar 9)",
},
# --- Yokosuka, Japan (CFAY) ---
"CVN-73": {
@@ -158,18 +152,16 @@ CARRIER_REGISTRY: Dict[str, dict] = {
"homeport": "Yokosuka, Japan",
"homeport_lat": 35.2830,
"homeport_lng": 139.6700,
"fallback_lat": 35.2830,
"fallback_lng": 139.6700,
"fallback_heading": 180,
"fallback_desc": "Yokosuka, Japan (Forward deployed)",
},
}
# -----------------------------------------------------------------
# Region → approximate center coordinates.
#
# Issue #245 (tg12): converting a region name straight into precise
# map coordinates is false precision. We still use this table to
# infer a coarse position from a headline mention, but the resulting
# carrier object is now stamped ``position_confidence = "approximate"``
# so the UI can render an uncertainty radius / dimmed icon. The
# centroid is a best-effort midpoint of the named body of water.
# Region → approximate center coordinates
# Used to map textual geographic descriptions to lat/lng
# -----------------------------------------------------------------
REGION_COORDS: Dict[str, tuple] = {
# Oceans & Seas
@@ -228,39 +220,9 @@ REGION_COORDS: Dict[str, tuple] = {
}
# -----------------------------------------------------------------
# Files
# Cache file for persisting positions between restarts
# -----------------------------------------------------------------
#
# The seed lives in the read-only image data dir (it ships with each
# release). The cache lives in the same data dir but is written at
# runtime; under Docker compose this dir is volume-mounted so the
# cache persists across container restarts, which is the whole point
# of the seed-then-observe model — the user's runtime observations
# survive image upgrades.
SEED_FILE = Path(__file__).parent.parent / "data" / "carrier_seed.json"
CACHE_FILE = Path(__file__).parent.parent / "data" / "carrier_cache.json"
# -----------------------------------------------------------------
# Freshness window for position_confidence labeling. Issue #246 (tg12):
# previously persisted cache entries had no freshness signal at all.
# After this change, the position itself is preserved (we never lose
# what was last observed) but the confidence label flips from
# "recent" to "stale" once the underlying source is older than this
# window. Operator-overridable via env var.
# -----------------------------------------------------------------
_DEFAULT_FRESHNESS_WINDOW_DAYS = 14
def _freshness_window_days() -> int:
raw = str(os.environ.get("SHADOWBROKER_CARRIER_FRESHNESS_DAYS", "") or "").strip()
if not raw:
return _DEFAULT_FRESHNESS_WINDOW_DAYS
try:
n = int(raw)
return n if n > 0 else _DEFAULT_FRESHNESS_WINDOW_DAYS
except (TypeError, ValueError):
return _DEFAULT_FRESHNESS_WINDOW_DAYS
CACHE_FILE = Path(__file__).parent.parent / "carrier_cache.json"
_carrier_positions: Dict[str, dict] = {}
_positions_lock = threading.Lock()
@@ -272,159 +234,25 @@ _GDELT_REQUEST_DELAY_SECONDS = 1.25
_GDELT_REQUEST_JITTER_SECONDS = 0.35
def _now_iso() -> str:
return datetime.now(timezone.utc).isoformat()
def _parse_iso(ts: str) -> Optional[datetime]:
if not ts:
return None
try:
# Python's fromisoformat accepts +00:00 but not 'Z' until 3.11.
normalized = ts.replace("Z", "+00:00")
dt = datetime.fromisoformat(normalized)
if dt.tzinfo is None:
dt = dt.replace(tzinfo=timezone.utc)
return dt
except (TypeError, ValueError):
return None
def _compute_position_confidence(entry: dict, *, now: Optional[datetime] = None) -> str:
"""Return the public confidence label for a carrier cache entry.
Order of precedence:
- explicit "homeport_default" / "seed" labels are preserved.
- dated entries (with position_source_at) are "recent" if within
the configured freshness window, else "stale".
- missing position_source_at falls through to "stale".
"""
raw_label = str(entry.get("position_confidence", "") or "").strip()
# Explicit "kind of provenance" labels are preserved as-is. They
# describe HOW we got the position, not WHEN — a fresh headline-to-
# centroid match (#245) is still imprecise no matter how recently
# it was observed, and the seed (#244) is always the seed.
if raw_label in {"seed", "homeport_default", "approximate"}:
# Approximate entries can still age into "stale_approximate" if
# they fall out of the freshness window — that distinction lets
# the UI render a different badge for old-and-imprecise vs
# recent-and-imprecise. seed/homeport_default never age (they
# were never timestamped against real observations).
if raw_label == "approximate":
source_at = _parse_iso(str(entry.get("position_source_at", "") or ""))
if source_at is not None:
reference = now or datetime.now(timezone.utc)
if reference - source_at > timedelta(days=_freshness_window_days()):
return "stale_approximate"
return raw_label
source_at = _parse_iso(str(entry.get("position_source_at", "") or ""))
if not source_at:
return "stale"
reference = now or datetime.now(timezone.utc)
window = timedelta(days=_freshness_window_days())
if reference - source_at <= window:
return "recent"
return "stale"
def _load_seed() -> Dict[str, dict]:
"""Load the read-only seed file shipped with the image.
Returns a hullentry dict (no _meta wrapper). Missing or malformed
seed files yield an empty dict the caller falls back to homeport
defaults.
"""
try:
if not SEED_FILE.exists():
logger.info("Carrier seed file not present at %s; first-run will fall back to homeport defaults", SEED_FILE)
return {}
raw = json.loads(SEED_FILE.read_text(encoding="utf-8"))
carriers = raw.get("carriers", {}) if isinstance(raw, dict) else {}
if not isinstance(carriers, dict):
return {}
logger.info("Carrier seed loaded: %d entries from %s", len(carriers), SEED_FILE)
return carriers
except (IOError, OSError, json.JSONDecodeError, ValueError) as e:
logger.warning("Failed to load carrier seed file %s: %s", SEED_FILE, e)
return {}
def _load_cache() -> Dict[str, dict]:
"""Load the mutable cache (last-known positions persisted between restarts)."""
"""Load cached carrier positions from disk."""
try:
if CACHE_FILE.exists():
data = json.loads(CACHE_FILE.read_text(encoding="utf-8"))
if isinstance(data, dict):
logger.info("Carrier cache loaded: %d carriers from %s", len(data), CACHE_FILE)
return data
data = json.loads(CACHE_FILE.read_text())
logger.info(f"Carrier cache loaded: {len(data)} carriers from {CACHE_FILE}")
return data
except (IOError, OSError, json.JSONDecodeError, ValueError) as e:
logger.warning("Failed to load carrier cache: %s", e)
logger.warning(f"Failed to load carrier cache: {e}")
return {}
def _save_cache(positions: Dict[str, dict]) -> None:
"""Persist the mutable cache. Atomic write (temp + rename) so a crash
mid-write can't leave the file truncated."""
def _save_cache(positions: Dict[str, dict]):
"""Persist carrier positions to disk."""
try:
CACHE_FILE.parent.mkdir(parents=True, exist_ok=True)
tmp = CACHE_FILE.with_suffix(CACHE_FILE.suffix + ".tmp")
tmp.write_text(json.dumps(positions, indent=2), encoding="utf-8")
# On Windows os.replace is atomic and overwrites existing files.
os.replace(tmp, CACHE_FILE)
logger.info("Carrier cache saved: %d carriers", len(positions))
CACHE_FILE.write_text(json.dumps(positions, indent=2))
logger.info(f"Carrier cache saved: {len(positions)} carriers")
except (IOError, OSError) as e:
logger.warning("Failed to save carrier cache: %s", e)
def _homeport_entry_for(hull: str) -> Optional[dict]:
"""Return a homeport-default cache entry for a hull, or None if the
hull is not in the registry."""
info = CARRIER_REGISTRY.get(hull)
if not info:
return None
return {
"lat": info["homeport_lat"],
"lng": info["homeport_lng"],
"heading": 0,
"desc": f"{info['homeport']} (no observations yet)",
"source": f"Homeport default ({info['homeport']})",
"source_url": info.get("wiki", ""),
"position_source_at": _now_iso(),
"position_confidence": "homeport_default",
}
def _bootstrap_cache_if_missing() -> Dict[str, dict]:
"""One-shot: if no cache exists, materialize one from the seed file.
Returns the cache contents (hullentry). On first-ever startup,
this writes ``carrier_cache.json`` so subsequent restarts skip the
seed entirely. Operator-deleted caches re-bootstrap the same way
operators can use that to "reset" carrier positions, but it's an
explicit operator action.
"""
if CACHE_FILE.exists():
return _load_cache()
seed = _load_seed()
if not seed:
# No seed file either. Build a homeport-default cache so the
# first save_cache call still produces something honest.
homeports: Dict[str, dict] = {}
for hull in CARRIER_REGISTRY:
entry = _homeport_entry_for(hull)
if entry is not None:
homeports[hull] = entry
if homeports:
_save_cache(homeports)
return homeports
# Persist the seed as the first cache so subsequent runs skip this branch.
_save_cache(seed)
logger.info("Carrier cache bootstrapped from seed (first-ever startup)")
return dict(seed)
logger.warning(f"Failed to save carrier cache: {e}")
def _match_region(text: str) -> Optional[tuple]:
@@ -442,8 +270,10 @@ def _match_carrier(text: str) -> Optional[str]:
for hull, info in CARRIER_REGISTRY.items():
hull_check = hull.lower().replace("-", "")
name_parts = info["name"].lower()
# Match hull number (e.g., "CVN-78", "CVN78")
if hull.lower() in text_lower or hull_check in text_lower.replace("-", ""):
return hull
# Match ship name (e.g., "Ford", "Eisenhower", "Vinson")
ship_name = name_parts.split("(")[0].strip()
last_name = ship_name.split()[-1] if ship_name else ""
if last_name and len(last_name) > 3 and last_name in text_lower:
@@ -493,9 +323,8 @@ def _fetch_gdelt_carrier_news() -> List[dict]:
articles = data.get("articles", [])
for art in articles:
title = art.get("title", "")
article_url = art.get("url", "")
article_at = art.get("seendate") or art.get("date") or ""
results.append({"title": title, "url": article_url, "seendate": article_at})
url = art.get("url", "")
results.append({"title": title, "url": url})
except (ConnectionError, TimeoutError, ValueError, KeyError, OSError) as e:
logger.debug(f"GDELT search failed for '{term}': {e}")
continue
@@ -511,175 +340,108 @@ def _fetch_gdelt_carrier_news() -> List[dict]:
return results
def _gdelt_seendate_to_iso(seendate: str) -> Optional[str]:
"""GDELT returns YYYYMMDDhhmmss (UTC). Convert to ISO8601 for
position_source_at. Returns None if the input is unparseable."""
raw = (seendate or "").strip()
if len(raw) < 8 or not raw.isdigit():
return None
try:
dt = datetime.strptime(raw[:14] if len(raw) >= 14 else raw[:8] + "000000", "%Y%m%d%H%M%S")
return dt.replace(tzinfo=timezone.utc).isoformat()
except (TypeError, ValueError):
return None
def _parse_carrier_positions_from_news(articles: List[dict]) -> Dict[str, dict]:
"""Parse carrier positions from news article titles.
Issue #245 (tg12): the position is a region centroid, which is
coarse we now stamp ``position_confidence = "approximate"`` so
the UI can render that uncertainty. Issue #244: the
``position_source_at`` field is the news article's actual seen
date, NOT now(), so the freshness check correctly flips entries
to "stale" once they age past the configured window.
"""
"""Parse carrier positions from news article titles and descriptions."""
updates: Dict[str, dict] = {}
for article in articles:
title = article.get("title", "")
# Try to match a carrier from the title
hull = _match_carrier(title)
if not hull:
continue
# Try to match a region from the title
coords = _match_region(title)
if not coords:
continue
# First match wins (most recent article, GDELT returns newest first
# per term).
# Only update if we haven't seen this carrier yet (first match wins — most recent)
if hull not in updates:
iso_at = _gdelt_seendate_to_iso(str(article.get("seendate", ""))) or _now_iso()
updates[hull] = {
"lat": coords[0],
"lng": coords[1],
"heading": 0,
"desc": title[:100],
"source": "GDELT News API (headline region match — approximate)",
"source": "GDELT News API",
"source_url": article.get("url", "https://api.gdeltproject.org"),
"position_source_at": iso_at,
# Headline-to-centroid match is explicitly approximate.
"position_confidence": "approximate",
"updated": datetime.now(timezone.utc).isoformat(),
}
logger.info(
"Carrier update: %s%s (from: %s)",
CARRIER_REGISTRY[hull]["name"],
coords,
title[:80],
f"Carrier update: {CARRIER_REGISTRY[hull]['name']}{coords} (from: {title[:80]})"
)
return updates
def _enrich_for_rendering(hull: str, entry: dict, *, now: Optional[datetime] = None) -> dict:
"""Add live computed fields (confidence label, last_osint_update)
on top of the persisted cache entry. The persisted entry is left
untouched; this function builds the public-facing object.
"""
info = CARRIER_REGISTRY.get(hull, {})
confidence = _compute_position_confidence(entry, now=now)
return {
"name": entry.get("name", info.get("name", hull)),
"lat": entry["lat"],
"lng": entry["lng"],
"heading": entry.get("heading", 0),
"desc": entry.get("desc", ""),
"wiki": entry.get("wiki", info.get("wiki", "")),
"source": entry.get("source", "OSINT estimated position"),
"source_url": entry.get("source_url", ""),
"position_source_at": entry.get("position_source_at", ""),
"position_confidence": confidence,
# Existing field preserved for backward compatibility with the
# current frontend ShipPopup; now reflects the SOURCE's observed
# time (not now()), so "last reported X days ago" is honest.
"last_osint_update": entry.get("position_source_at", ""),
# Convenience boolean for the UI: true when the position is
# NOT live OSINT (used to render dimmed icons / badges).
"is_fallback": confidence in {"seed", "stale", "stale_approximate", "homeport_default"},
}
def _load_carrier_fallbacks() -> Dict[str, dict]:
"""Build carrier positions from static fallbacks + disk cache (instant, no network)."""
positions: Dict[str, dict] = {}
for hull, info in CARRIER_REGISTRY.items():
positions[hull] = {
"name": info["name"],
"lat": info["fallback_lat"],
"lng": info["fallback_lng"],
"heading": info["fallback_heading"],
"desc": info["fallback_desc"],
"wiki": info["wiki"],
"source": "USNI News Fleet & Marine Tracker",
"source_url": "https://news.usni.org/category/fleet-tracker",
"updated": datetime.now(timezone.utc).isoformat(),
}
# Overlay cached positions from previous runs (may have GDELT data)
cached = _load_cache()
for hull, cached_pos in cached.items():
if hull in positions:
if cached_pos.get("source", "").startswith("GDELT") or cached_pos.get(
"source", ""
).startswith("News"):
positions[hull].update(
{
"lat": cached_pos["lat"],
"lng": cached_pos["lng"],
"desc": cached_pos.get("desc", positions[hull]["desc"]),
"source": cached_pos.get("source", "Cached OSINT"),
"updated": cached_pos.get("updated", ""),
}
)
return positions
def update_carrier_positions() -> None:
"""Refresh carrier positions.
def update_carrier_positions():
"""Main update function — called on startup and every 12h.
Phase 1 (instant): publish whatever's in carrier_cache.json (or
bootstrap from seed on first-ever run), so the map has carriers
immediately.
Phase 2 (slow): query GDELT and replace position entries for any
carrier mentioned in fresh news. Persist back to cache.
Phase 1 (instant): publish fallback + cached positions so the map has carriers immediately.
Phase 2 (slow): query GDELT for fresh OSINT positions and update in-place.
"""
global _last_update
# --- Phase 1: instant cache (bootstrap from seed on first-ever run) ---
positions = _bootstrap_cache_if_missing()
# Ensure every registered hull has SOMETHING in the cache. A hull
# the seed didn't cover (e.g. added after install) renders at its
# homeport with "homeport_default" confidence.
for hull in CARRIER_REGISTRY:
if hull not in positions:
entry = _homeport_entry_for(hull)
if entry is not None:
positions[hull] = entry
# --- Phase 1: instant fallback + cache ---
positions = _load_carrier_fallbacks()
with _positions_lock:
# Only overwrite if positions are currently empty (first startup).
# If we already have data from a previous cycle, keep it while GDELT runs.
if not _carrier_positions:
_carrier_positions.update(positions)
_last_update = datetime.now(timezone.utc)
logger.info(
"Carrier tracker: %d carriers loaded from cache (USNI + GDELT enrichment starting...)",
len(positions),
f"Carrier tracker: {len(positions)} carriers loaded from fallback/cache (GDELT enrichment starting...)"
)
# --- Phase 2: USNI Fleet & Marine Tracker (PRIMARY source) ---
#
# USNI publishes a weekly editorial tracker with each carrier's
# actual operating area, parsed from explicit prose like
# "The Gerald R. Ford Carrier Strike Group is operating in the Red Sea"
# These positions are tagged ``position_confidence: "recent"`` because
# they reflect actual reporting, not headline-keyword centroids.
# USNI updates are preferred over GDELT — they're authoritative on
# US Navy positions where GDELT is just article-title text mining.
try:
from services.fetchers.usni_fleet_tracker import (
fetch_latest_fleet_tracker_positions,
)
usni_positions = fetch_latest_fleet_tracker_positions()
for hull, pos in usni_positions.items():
positions[hull] = pos
logger.info(
"Carrier USNI update: %s%s",
CARRIER_REGISTRY[hull]["name"],
pos.get("desc", ""),
)
except Exception as e:
logger.warning("USNI fleet-tracker fetch failed: %s", e)
# --- Phase 3: GDELT enrichment (SECONDARY — fills gaps) ---
#
# Used only to backfill carriers USNI didn't mention this week. The
# position is stamped ``approximate`` so the UI knows it's a
# headline-centroid match (Issue #245).
# --- Phase 2: slow GDELT enrichment ---
try:
articles = _fetch_gdelt_carrier_news()
news_positions = _parse_carrier_positions_from_news(articles)
for hull, pos in news_positions.items():
# Only overwrite if the existing entry is NOT a recent USNI
# observation. A "recent" USNI position is higher-confidence
# than a GDELT headline-centroid match — don't let GDELT
# demote a real position to an approximate one.
existing = positions.get(hull, {})
existing_conf = _compute_position_confidence(existing)
if existing_conf == "recent":
continue
positions[hull] = pos
logger.info(
"Carrier OSINT: updated %s from GDELT news",
CARRIER_REGISTRY[hull]["name"],
)
if hull in positions:
positions[hull].update(pos)
logger.info(f"Carrier OSINT: updated {CARRIER_REGISTRY[hull]['name']} from news")
except (ValueError, KeyError, json.JSONDecodeError, OSError) as e:
logger.warning("GDELT carrier fetch failed: %s", e)
logger.warning(f"GDELT carrier fetch failed: {e}")
# Save and update the global state with enriched positions
with _positions_lock:
_carrier_positions.clear()
_carrier_positions.update(positions)
@@ -687,15 +449,21 @@ def update_carrier_positions() -> None:
_save_cache(positions)
confidences: Dict[str, int] = {}
for entry in positions.values():
label = _compute_position_confidence(entry)
confidences[label] = confidences.get(label, 0) + 1
logger.info("Carrier tracker: %d carriers updated. Confidence: %s", len(positions), confidences)
sources = {}
for p in positions.values():
src = p.get("source", "unknown")
sources[src] = sources.get(src, 0) + 1
logger.info(f"Carrier tracker: {len(positions)} carriers updated. Sources: {sources}")
def _deconflict_positions(result: List[dict]) -> List[dict]:
"""Offset carriers that share identical coordinates so they don't stack."""
"""Offset carriers that share identical coordinates so they don't stack.
At port: offset along the pier axis (~500m / 0.004° apart).
At sea: offset perpendicular to each other (~0.08° / ~9km apart)
so they're visibly separate but clearly operating together.
"""
# Group by rounded lat/lng (within ~0.01° ≈ 1km = same spot)
from collections import defaultdict
groups: dict[str, list[int]] = defaultdict(list)
@@ -707,6 +475,7 @@ def _deconflict_positions(result: List[dict]) -> List[dict]:
if len(indices) < 2:
continue
n = len(indices)
# Determine if this is a port (near a homeport) or at sea
sample = result[indices[0]]
at_port = any(
abs(sample["lat"] - info.get("homeport_lat", 0)) < 0.05
@@ -715,6 +484,7 @@ def _deconflict_positions(result: List[dict]) -> List[dict]:
)
if at_port:
# Use each carrier's distinct homeport pier coordinates
for idx in indices:
carrier = result[idx]
hull = None
@@ -727,7 +497,8 @@ def _deconflict_positions(result: List[dict]) -> List[dict]:
carrier["lat"] = info["homeport_lat"]
carrier["lng"] = info["homeport_lng"]
else:
spacing = 0.08
# At sea: spread in a line perpendicular to travel (~0.08° apart)
spacing = 0.08 # ~9km — close enough to see they're together
start_offset = -(n - 1) * spacing / 2
for j, idx in enumerate(indices):
result[idx]["lng"] += start_offset + j * spacing
@@ -736,44 +507,36 @@ def _deconflict_positions(result: List[dict]) -> List[dict]:
def get_carrier_positions() -> List[dict]:
"""Return current carrier positions for the data pipeline.
Each entry has the full provenance + freshness fields; the UI can
decide how to render them. Carriers are never hidden only
labeled.
"""
now = datetime.now(timezone.utc)
"""Return current carrier positions for the data pipeline."""
with _positions_lock:
result: List[dict] = []
for hull, entry in _carrier_positions.items():
enriched = _enrich_for_rendering(hull, entry, now=now)
result = []
for hull, pos in _carrier_positions.items():
info = CARRIER_REGISTRY.get(hull, {})
result.append(
{
"name": enriched["name"],
"name": pos.get("name", info.get("name", hull)),
"type": "carrier",
"lat": enriched["lat"],
"lng": enriched["lng"],
"heading": None, # OSINT cannot determine true heading.
"lat": pos["lat"],
"lng": pos["lng"],
"heading": None, # Heading unknown for carriers — OSINT cannot determine true heading
"sog": 0,
"cog": 0,
"country": "United States",
"desc": enriched["desc"],
"wiki": enriched["wiki"],
"desc": pos.get("desc", ""),
"wiki": pos.get("wiki", info.get("wiki", "")),
"estimated": True,
"source": enriched["source"],
"source_url": enriched["source_url"],
"last_osint_update": enriched["last_osint_update"],
# New fields (additive — existing UI continues to work):
"position_source_at": enriched["position_source_at"],
"position_confidence": enriched["position_confidence"],
"is_fallback": enriched["is_fallback"],
"source": pos.get("source", "OSINT estimated position"),
"source_url": pos.get(
"source_url", "https://news.usni.org/category/fleet-tracker"
),
"last_osint_update": pos.get("updated", ""),
}
)
return _deconflict_positions(result)
# -----------------------------------------------------------------
# Scheduler: runs at startup, then at 00:00 and 12:00 UTC daily.
# Scheduler: runs at startup, then at 00:00 and 12:00 UTC daily
# -----------------------------------------------------------------
_scheduler_thread: Optional[threading.Thread] = None
_scheduler_stop = threading.Event()
@@ -781,6 +544,7 @@ _scheduler_stop = threading.Event()
def _scheduler_loop():
"""Background thread that triggers updates at 00:00 and 12:00 UTC."""
# Initial update on startup
try:
update_carrier_positions()
except Exception as e:
@@ -788,6 +552,7 @@ def _scheduler_loop():
while not _scheduler_stop.is_set():
now = datetime.now(timezone.utc)
# Next target: 00:00 or 12:00 UTC, whichever is sooner
hour = now.hour
if hour < 12:
next_hour = 12
@@ -796,17 +561,18 @@ def _scheduler_loop():
next_run = now.replace(hour=next_hour % 24, minute=0, second=0, microsecond=0)
if next_hour == 24:
from datetime import timedelta
next_run = (now + timedelta(days=1)).replace(hour=0, minute=0, second=0, microsecond=0)
wait_seconds = (next_run - now).total_seconds()
logger.info(
"Carrier tracker: next update at %s (%.1fh)",
next_run.isoformat(),
wait_seconds / 3600,
f"Carrier tracker: next update at {next_run.isoformat()} ({wait_seconds/3600:.1f}h)"
)
# Wait until next scheduled time, or until stop event
if _scheduler_stop.wait(timeout=wait_seconds):
break
break # Stop event was set
try:
update_carrier_positions()
+93 -419
View File
@@ -17,9 +17,6 @@ _KNOWN_CCTV_MEDIA_HOST_ALIASES = {
# Trusted upstream occasionally publishes a typo for this Georgia camera
# host. Normalize it at ingest so the proxy and client stay consistent.
"navigatos-c2c.dot.ga.gov": "navigator-c2c.dot.ga.gov",
# TravelIQ staging hosts occasionally appear in 511 catalog metadata.
"on.stage.traveliq.co": "511on.ca",
"ab.stage.traveliq.co": "511.alberta.ca",
}
_POINT_WKT_RE = re.compile(
@@ -43,17 +40,6 @@ def _normalize_cctv_media_url(raw_url: str) -> str:
return urlunparse(parsed._replace(netloc=netloc))
def _ensure_https_url(raw_url: str) -> str:
"""Upgrade http:// media/catalog URLs to https:// at ingest time."""
candidate = _normalize_cctv_media_url(str(raw_url or "").strip())
if not candidate:
return ""
parsed = urlparse(candidate)
if parsed.scheme.lower() == "http":
return urlunparse(parsed._replace(scheme="https"))
return candidate
def _looks_like_direct_cctv_media_url(url: str) -> bool:
candidate = str(url or "").strip().lower()
if not candidate.startswith(("http://", "https://")):
@@ -107,165 +93,6 @@ def _parse_wkt_point(raw_point: str) -> tuple[float | None, float | None]:
return lat, lon
def _fetch_traveliq_v2_cameras(
*,
api_url: str,
base_url: str,
id_prefix: str,
source_agency: str,
) -> List[Dict[str, Any]]:
"""Parse TravelIQ-style GET /api/v2/get/cameras feeds (Ontario, Alberta)."""
resp = fetch_with_curl(
api_url,
timeout=30,
headers={"Accept": "application/json"},
)
if not resp or resp.status_code != 200:
logger.error(
"%s CCTV fetch failed: HTTP %s",
source_agency,
resp.status_code if resp else "no response",
)
return []
data = resp.json()
if not isinstance(data, list):
return []
cameras: List[Dict[str, Any]] = []
for cam in data:
if not isinstance(cam, dict):
continue
try:
lat = float(cam.get("Latitude"))
lon = float(cam.get("Longitude"))
except (TypeError, ValueError):
continue
site_id = cam.get("Id")
location = str(cam.get("Location") or cam.get("Roadway") or "Camera")[:120]
views = cam.get("Views") or []
if not views:
continue
for view in views:
if not isinstance(view, dict):
continue
status = str(view.get("Status") or "enabled").strip().lower()
if status and status not in {"enabled", "active"}:
continue
media_url = _ensure_https_url(
urljoin(base_url, str(view.get("Url") or "").strip())
)
if not media_url:
continue
view_id = view.get("Id") or site_id
if site_id is None or view_id is None:
continue
label = str(view.get("Description") or location or "Camera")[:120]
cameras.append(
{
"id": f"{id_prefix}-{site_id}-{view_id}",
"source_agency": source_agency,
"lat": lat,
"lon": lon,
"direction_facing": label,
"media_url": media_url,
"media_type": "image",
"refresh_rate_seconds": 60,
}
)
return cameras
def _fetch_511_datatables_cameras(
*,
list_url: str,
base_url: str,
id_prefix: str,
source_agency: str,
referer: str,
page_size: int = 500,
) -> List[Dict[str, Any]]:
"""Parse 511 DataTables POST /List/GetData/Cameras feeds (Georgia, Florida)."""
cameras: List[Dict[str, Any]] = []
start = 0
draw = 1
while True:
resp = fetch_with_curl(
list_url,
method="POST",
json_data={"draw": draw, "start": start, "length": page_size},
timeout=30,
headers={
"Accept": "application/json",
"Referer": referer,
"Origin": base_url.rstrip("/"),
},
)
if not resp or resp.status_code != 200:
logger.error(
"%s CCTV fetch failed: HTTP %s",
source_agency,
resp.status_code if resp else "no response",
)
break
data = resp.json()
rows = data.get("data") or []
if not rows:
break
for row in rows:
if not isinstance(row, dict):
continue
site_id = row.get("id") or row.get("DT_RowId")
location = row.get("location") or row.get("roadway") or source_agency
lat_lng = row.get("latLng") or {}
geography = lat_lng.get("geography") if isinstance(lat_lng, dict) else {}
lat, lon = _parse_wkt_point(
geography.get("wellKnownText") if isinstance(geography, dict) else ""
)
images = row.get("images") or []
image = next(
(
candidate
for candidate in images
if str(candidate.get("imageUrl") or "").strip()
and not bool(candidate.get("blocked"))
),
None,
)
if not (site_id and image and lat is not None and lon is not None):
continue
media_url = _ensure_https_url(
urljoin(base_url, str(image.get("imageUrl") or "").strip())
)
if not media_url:
continue
cameras.append(
{
"id": f"{id_prefix}-{site_id}",
"source_agency": source_agency,
"lat": lat,
"lon": lon,
"direction_facing": str(location)[:120],
"media_url": media_url,
"media_type": "image",
"refresh_rate_seconds": 60,
}
)
start += len(rows)
draw += 1
total = int(data.get("recordsTotal") or 0)
if total and start >= total:
break
if not total and len(rows) < page_size:
break
return cameras
def init_db():
DB_PATH.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(str(DB_PATH))
@@ -342,7 +169,7 @@ class BaseCCTVIngestor(ABC):
cam.get("lat"),
cam.get("lon"),
cam.get("direction_facing", "Unknown"),
_ensure_https_url(cam.get("media_url", "")),
cam.get("media_url"),
cam.get("media_type", _detect_media_type(cam.get("media_url", ""))),
cam.get("refresh_rate_seconds", 60),
),
@@ -627,14 +454,77 @@ class WSDOTIngestor(BaseCCTVIngestor):
class GeorgiaDOTIngestor(BaseCCTVIngestor):
"""Georgia cameras via the public 511GA list feed."""
URL = "https://511ga.org/List/GetData/Cameras"
BASE_URL = "https://511ga.org"
PAGE_SIZE = 500
def fetch_data(self) -> List[Dict[str, Any]]:
return _fetch_511_datatables_cameras(
list_url="https://511ga.org/List/GetData/Cameras",
base_url="https://511ga.org",
id_prefix="GDOT",
source_agency="Georgia DOT",
referer="https://511ga.org/cctv",
)
cameras = []
start = 0
draw = 1
while True:
resp = fetch_with_curl(
self.URL,
method="POST",
json_data={"draw": draw, "start": start, "length": self.PAGE_SIZE},
timeout=30,
headers={
"Accept": "application/json",
"Referer": "https://511ga.org/cctv",
"Origin": "https://511ga.org",
},
)
if not resp or resp.status_code != 200:
logger.error(
"Georgia CCTV fetch failed: HTTP %s",
resp.status_code if resp else "no response",
)
break
data = resp.json()
rows = data.get("data") or []
if not rows:
break
for row in rows:
site_id = row.get("id") or row.get("DT_RowId")
location = row.get("location") or row.get("roadway") or "GA Camera"
lat_lng = row.get("latLng") or {}
geography = lat_lng.get("geography") if isinstance(lat_lng, dict) else {}
lat, lon = _parse_wkt_point(geography.get("wellKnownText") if isinstance(geography, dict) else "")
images = row.get("images") or []
image = next(
(
candidate
for candidate in images
if str(candidate.get("imageUrl") or "").strip()
and not bool(candidate.get("blocked"))
),
None,
)
if not (site_id and image and lat is not None and lon is not None):
continue
media_url = _normalize_cctv_media_url(
urljoin(self.BASE_URL, str(image.get("imageUrl") or "").strip())
)
cameras.append(
{
"id": f"GDOT-{site_id}",
"source_agency": "Georgia DOT",
"lat": lat,
"lon": lon,
"direction_facing": str(location)[:120],
"media_url": media_url,
"media_type": "image",
"refresh_rate_seconds": 60,
}
)
start += len(rows)
draw += 1
total = int(data.get("recordsTotal") or 0)
if total and start >= total:
break
if not total and len(rows) < self.PAGE_SIZE:
break
return cameras
class IllinoisDOTIngestor(BaseCCTVIngestor):
@@ -1119,72 +1009,17 @@ def _extract_img_src(html_fragment: str):
return None
class AsfinagIngestor(BaseCCTVIngestor):
"""Austria ASFINAG motorway webcams (Osiris port)."""
API_URL = "https://odo.asfinag.at/odo/rest/sec/resource/001/json/webcams?language=atDE"
HEADERS = {
"User-Agent": "Shadowbroker-CCTV/1.0",
"Accept": "application/json",
"Referer": "https://www.asfinag.at/",
"Authorization": "Basic bWFwX3dpZGdldDp0ZWdkaXc=",
}
def fetch_data(self) -> List[Dict[str, Any]]:
try:
response = fetch_with_curl(self.API_URL, timeout=15, headers=self.HEADERS)
response.raise_for_status()
payload = response.json()
except Exception as exc:
logger.error("AsfinagIngestor: fetch failed: %s", exc)
return []
if not isinstance(payload, list):
return []
cameras: List[Dict[str, Any]] = []
for cam in payload:
cam_id = cam.get("wcs_id")
lat = cam.get("wgs84_lat")
lon = cam.get("wgs84_lon")
image_url = cam.get("url_campic")
if not cam_id or lat is None or lon is None or not image_url:
continue
if str(cam_id).startswith("Utinform"):
continue
label = cam.get("position_txt") or cam.get("direction_txt") or "ASFINAG Webcam"
secure_url = _ensure_https_url(image_url)
if not secure_url:
continue
cameras.append(
{
"id": f"ASFINAG-{cam_id}",
"source_agency": "ASFINAG Austria",
"lat": float(lat),
"lon": float(lon),
"direction_facing": label,
"media_url": secure_url,
"media_type": "image",
"refresh_rate_seconds": 300,
}
)
logger.info("AsfinagIngestor: parsed %s cameras", len(cameras))
return cameras
class MadridCityIngestor(BaseCCTVIngestor):
"""Madrid City Hall traffic cameras from datos.madrid.es KML feed."""
KML_URL = "https://datos.madrid.es/egob/catalogo/202088-0-trafico-camaras.kml"
def _fetch_kml(self):
response = fetch_with_curl(self.KML_URL, timeout=20)
response.raise_for_status()
return response
KML_URL = "http://datos.madrid.es/egob/catalogo/202088-0-trafico-camaras.kml"
def fetch_data(self) -> List[Dict[str, Any]]:
import defusedxml.ElementTree as ET
try:
response = self._fetch_kml()
response = fetch_with_curl(self.KML_URL, timeout=20)
response.raise_for_status()
except Exception as e:
logger.error(f"MadridCityIngestor: failed to fetch KML: {e}")
return []
@@ -1220,9 +1055,6 @@ class MadridCityIngestor(BaseCCTVIngestor):
if desc_el is not None and desc_el.text:
image_url = _extract_img_src(desc_el.text)
if not image_url:
continue
image_url = _ensure_https_url(image_url)
if not image_url:
continue
@@ -1244,153 +1076,6 @@ class MadridCityIngestor(BaseCCTVIngestor):
return cameras
class Ontario511Ingestor(BaseCCTVIngestor):
"""Ontario highway cameras via 511on.ca TravelIQ API."""
def fetch_data(self) -> List[Dict[str, Any]]:
return _fetch_traveliq_v2_cameras(
api_url="https://511on.ca/api/v2/get/cameras",
base_url="https://511on.ca",
id_prefix="ON511",
source_agency="511 Ontario",
)
class Alberta511Ingestor(BaseCCTVIngestor):
"""Alberta highway cameras via 511 Alberta TravelIQ API."""
def fetch_data(self) -> List[Dict[str, Any]]:
return _fetch_traveliq_v2_cameras(
api_url="https://511.alberta.ca/api/v2/get/cameras",
base_url="https://511.alberta.ca",
id_prefix="AB511",
source_agency="511 Alberta",
)
class Florida511Ingestor(BaseCCTVIngestor):
"""Florida cameras via FL511 DataTables feed (~4,800 sites)."""
def fetch_data(self) -> List[Dict[str, Any]]:
return _fetch_511_datatables_cameras(
list_url="https://fl511.com/List/GetData/Cameras",
base_url="https://fl511.com",
id_prefix="FL511",
source_agency="Florida 511",
referer="https://fl511.com/",
)
class AustraliaLiveTrafficIngestor(BaseCCTVIngestor):
"""NSW / Australia live traffic cameras via Transport for NSW JSON feed."""
URL = "https://www.livetraffic.com/datajson/all-feeds-web.json"
def fetch_data(self) -> List[Dict[str, Any]]:
resp = fetch_with_curl(self.URL, timeout=35, headers={"Accept": "application/json"})
if not resp or resp.status_code != 200:
logger.error(
"Australia Live Traffic CCTV fetch failed: HTTP %s",
resp.status_code if resp else "no response",
)
return []
data = resp.json()
if not isinstance(data, list):
return []
cameras: List[Dict[str, Any]] = []
for item in data:
if not isinstance(item, dict) or item.get("eventType") != "liveCams":
continue
geometry = item.get("geometry") if isinstance(item.get("geometry"), dict) else {}
coords = geometry.get("coordinates") if isinstance(geometry.get("coordinates"), list) else []
if len(coords) < 2:
continue
try:
lon = float(coords[0])
lat = float(coords[1])
except (TypeError, ValueError):
continue
props = item.get("properties") if isinstance(item.get("properties"), dict) else {}
media_url = _ensure_https_url(str(props.get("href") or "").strip())
if not media_url:
continue
cam_id = str(item.get("path") or props.get("id") or len(cameras)).strip("/")
label = str(props.get("title") or props.get("headline") or "Australia Camera")[:120]
cameras.append(
{
"id": f"AUS-{cam_id}",
"source_agency": "NSW Live Traffic",
"lat": lat,
"lon": lon,
"direction_facing": label,
"media_url": media_url,
"media_type": "image",
"refresh_rate_seconds": 120,
}
)
logger.info("AustraliaLiveTrafficIngestor: parsed %s cameras", len(cameras))
return cameras
class NetherlandsRWSIngestor(BaseCCTVIngestor):
"""Netherlands Rijkswaterstaat cameras from legacy NDW open-data JSON.
The opendata.ndw.nu/cameras.json feed Osiris used is often offline; when
unavailable this ingestor returns an empty set and logs a warning.
"""
URL = "https://opendata.ndw.nu/cameras.json"
MAX_CAMERAS = 1200
def fetch_data(self) -> List[Dict[str, Any]]:
resp = fetch_with_curl(self.URL, timeout=25, headers={"Accept": "application/json"})
if not resp or resp.status_code != 200:
logger.warning(
"Netherlands RWS cameras.json unavailable (HTTP %s) — "
"NDW retired this open-data endpoint; no cameras ingested",
resp.status_code if resp else "no response",
)
return []
data = resp.json()
if not isinstance(data, list):
return []
cameras: List[Dict[str, Any]] = []
for i, cam in enumerate(data[: self.MAX_CAMERAS]):
if not isinstance(cam, dict):
continue
lat = cam.get("lat") if cam.get("lat") is not None else cam.get("latitude")
lon = cam.get("lng") if cam.get("lng") is not None else cam.get("longitude")
media_url = _ensure_https_url(
str(cam.get("imageUrl") or cam.get("feed_url") or cam.get("url") or "").strip()
)
if lat is None or lon is None or not media_url:
continue
try:
lat_f, lon_f = float(lat), float(lon)
except (TypeError, ValueError):
continue
cameras.append(
{
"id": f"NLRWS-{cam.get('id') or i}",
"source_agency": "Rijkswaterstaat",
"lat": lat_f,
"lon": lon_f,
"direction_facing": str(cam.get("name") or "Netherlands Camera")[:120],
"media_url": media_url,
"media_type": "image",
"refresh_rate_seconds": 120,
}
)
logger.info("NetherlandsRWSIngestor: parsed %s cameras", len(cameras))
return cameras
def _detect_media_type(url: str) -> str:
"""Detect the media type from a camera URL for proper frontend rendering."""
if not url:
@@ -1409,40 +1094,29 @@ def _detect_media_type(url: str) -> str:
return "image"
def scheduled_cctv_ingestors() -> List[tuple["BaseCCTVIngestor", str]]:
"""Canonical list of CCTV ingestors for startup, scheduler, and DB seeding."""
return [
(TFLJamCamIngestor(), "cctv_tfl"),
(LTASingaporeIngestor(), "cctv_lta"),
(AustinTXIngestor(), "cctv_atx"),
(NYCDOTIngestor(), "cctv_nyc"),
(CaltransIngestor(), "cctv_caltrans"),
(ColoradoDOTIngestor(), "cctv_codot"),
(WSDOTIngestor(), "cctv_wsdot"),
(GeorgiaDOTIngestor(), "cctv_gdot"),
(IllinoisDOTIngestor(), "cctv_idot"),
(MichiganDOTIngestor(), "cctv_mdot"),
(WindyWebcamsIngestor(), "cctv_windy"),
(DGTNationalIngestor(), "cctv_dgt"),
(MadridCityIngestor(), "cctv_madrid"),
(OSMTrafficCameraIngestor(), "cctv_osm"),
(AsfinagIngestor(), "cctv_asfinag"),
(OSMALPRCameraIngestor(), "cctv_osm_alpr"),
(Ontario511Ingestor(), "cctv_on511"),
(Alberta511Ingestor(), "cctv_ab511"),
(Florida511Ingestor(), "cctv_fl511"),
(AustraliaLiveTrafficIngestor(), "cctv_australia"),
(NetherlandsRWSIngestor(), "cctv_nl_rws"),
]
def run_all_ingestors():
"""Run all CCTV ingestors synchronously. Used for first-run DB seeding."""
for ingestor, _name in scheduled_cctv_ingestors():
ingestors = [
TFLJamCamIngestor(),
LTASingaporeIngestor(),
AustinTXIngestor(),
NYCDOTIngestor(),
CaltransIngestor(),
ColoradoDOTIngestor(),
WSDOTIngestor(),
GeorgiaDOTIngestor(),
IllinoisDOTIngestor(),
MichiganDOTIngestor(),
WindyWebcamsIngestor(),
OSMTrafficCameraIngestor(),
DGTNationalIngestor(),
MadridCityIngestor(),
]
for ing in ingestors:
try:
ingestor.ingest()
ing.ingest()
except Exception as e:
logger.warning(f"Ingestor {ingestor.__class__.__name__} failed during seed: {e}")
logger.warning(f"Ingestor {ing.__class__.__name__} failed during seed: {e}")
def get_all_cameras() -> List[Dict[str, Any]]:
-35
View File
@@ -32,7 +32,6 @@ class Settings(BaseSettings):
MESH_ARTI_ENABLED: bool = False
MESH_ARTI_SOCKS_PORT: int = 9050
MESH_RELAY_PEERS: str = ""
MESH_PUBLIC_PEER_URL: str = ""
# Bootstrap seeds are discovery hints, not authoritative network roots.
# Nodes promote healthy discovered peers from the store/manifest over time.
MESH_BOOTSTRAP_SEED_PEERS: str = "http://gqpbunqbgtkcqilvclm3xrkt3zowjyl3s62kkktvojgvxzizamvbrqid.onion:8000"
@@ -54,12 +53,6 @@ class Settings(BaseSettings):
MESH_RELAY_FAILURE_COOLDOWN_S: int = 120
MESH_BOOTSTRAP_SEED_FAILURE_COOLDOWN_S: int = 15
MESH_PEER_PUSH_SECRET: str = ""
# Issue #256 (tg12): optional per-peer HMAC secret map. Comma-separated
# `url=secret` pairs. When a peer URL appears here, only that per-peer
# secret is accepted for it — the global MESH_PEER_PUSH_SECRET above is
# ignored for that specific URL. Single-peer installs and unmigrated
# multi-peer installs leave this empty and behavior is unchanged.
MESH_PEER_SECRETS: str = ""
MESH_RNS_APP_NAME: str = "shadowbroker"
MESH_RNS_ASPECT: str = "infonet"
MESH_RNS_IDENTITY_PATH: str = ""
@@ -117,21 +110,6 @@ class Settings(BaseSettings):
MESH_DM_REQUEST_MAILBOX_LIMIT: int = 12
MESH_DM_SHARED_MAILBOX_LIMIT: int = 48
MESH_DM_SELF_MAILBOX_LIMIT: int = 12
# Anti-spam: cap on distinct UNACKED messages a single sender can have
# parked in a single recipient's mailbox at any one time. Once the
# recipient pulls (acks) a message, the sender's quota for that pair
# frees up. Default 2 — a sender who wants to deliver more must wait
# for the recipient to actually read the prior messages.
#
# This cap is enforced TWICE: once on the local deposit path (the
# sender's own node refuses to spool the 3rd message) AND once on
# the replication-acceptance path (honest peer relays refuse to
# accept inbound replicas that would put them over the cap). The
# double enforcement makes the rule a NETWORK rule — patching out
# the local check on a hostile sender's relay doesn't let extras
# propagate, because every honest peer enforces the same cap on
# inbound replication.
MESH_DM_PENDING_PER_SENDER_LIMIT: int = 2
MESH_BLOCK_LEGACY_AGENT_ID_LOOKUP: bool = True
MESH_ALLOW_COMPAT_DM_INVITE_IMPORT: bool = False
MESH_ALLOW_COMPAT_DM_INVITE_IMPORT_UNTIL: str = ""
@@ -311,19 +289,6 @@ class Settings(BaseSettings):
# service operator can identify per-install traffic instead of a generic
# "ShadowBroker" aggregate.
MESHTASTIC_OPERATOR_CALLSIGN: str = ""
# Per-install operator handle used in the User-Agent for EVERY third-party
# API the backend calls (Wikipedia, Wikidata, Nominatim, GDELT, OpenMHz,
# Broadcastify, weather.gov, NUFORC, etc.). The default is empty, in which
# case backend/services/network_utils.py auto-generates a stable
# pseudonymous handle like "operator-7f3a92" on first use and caches it.
# Operators who want to identify themselves with a real handle can set
# this; operators who want to stay pseudonymous can leave it empty.
#
# The handle is sent ONLY to public third-party APIs. It is NEVER mixed
# into mesh / Wormhole / Infonet identity (those have their own crypto
# identity layer; conflating the two would leak public attribution into
# private mesh state).
OPERATOR_HANDLE: str = ""
# SAR (Synthetic Aperture Radar) data layer
# Mode A — free catalog metadata, no account, default-on
+2 -7
View File
@@ -11,13 +11,8 @@ DEFAULT_TRAIL_TTL_S = 300 # 5 min - trail TTL for non-tracked flights
HOLD_PATTERN_DEGREES = 300 # Total heading change to flag holding pattern
GPS_JAMMING_NACP_THRESHOLD = 8 # NACp below this = degraded GPS signal
GPS_JAMMING_GRID_SIZE = 1.0 # 1 degree grid for aggregation
# Tuned 2026-05: previously 0.30 / 5 aircraft which — combined with the
# -1 noise cushion in the detector AND the pre-fix nac_p==0 filter that
# discarded jamming victims — meant the layer almost never lit up.
# Lowering the bar so genuine jamming zones with sparser ADS-B coverage
# clear (eastern Med, Russia/Ukraine border, Iran/Iraq).
GPS_JAMMING_MIN_RATIO = 0.20 # 20% degraded aircraft to flag zone
GPS_JAMMING_MIN_AIRCRAFT = 3 # Min aircraft in grid cell for statistical significance
GPS_JAMMING_MIN_RATIO = 0.30 # 30% degraded aircraft to flag zone
GPS_JAMMING_MIN_AIRCRAFT = 5 # Min aircraft in grid cell for statistical significance
# ─── Network & Circuit Breaker ──────────────────────────────────────────────
CIRCUIT_BREAKER_TTL_S = 120 # Skip domain for 2 min after total failure
+58 -172
View File
@@ -19,7 +19,6 @@ import concurrent.futures
import json
import math
import os
import random
import threading
import time
from datetime import datetime, timedelta
@@ -76,7 +75,6 @@ from services.fetchers.infrastructure import ( # noqa: F401
fetch_tinygs,
fetch_psk_reporter,
)
from services.fetchers.road_corridor_sat import fetch_road_corridor_trends # noqa: F401
from services.fetchers.geo import ( # noqa: F401
fetch_ships,
fetch_airports,
@@ -101,10 +99,6 @@ from services.fetchers.crowdthreat import fetch_crowdthreat # noqa: F401
from services.fetchers.wastewater import fetch_wastewater # noqa: F401
from services.fetchers.sar_catalog import fetch_sar_catalog # noqa: F401
from services.fetchers.sar_products import fetch_sar_products # noqa: F401
from services.fetchers.malware import fetch_malware_threats # noqa: F401
from services.fetchers.telegram_osint import fetch_telegram_osint # noqa: F401
from services.fetchers.cyber_status import fetch_cyber_threats # noqa: F401
from services.scm.suppliers import fetch_scm_suppliers # noqa: F401
from services.ais_stream import prune_stale_vessels # noqa: F401
logger = logging.getLogger(__name__)
@@ -150,18 +144,13 @@ _STARTUP_HEAVY_REFRESH_DELAY_S = float(os.environ.get("SHADOWBROKER_STARTUP_HEAV
_STARTUP_HEAVY_REFRESH_STARTED = False
_STARTUP_HEAVY_REFRESH_LOCK = threading.Lock()
_FETCH_WORKERS = int(os.environ.get("SHADOWBROKER_FETCH_WORKERS", "8"))
_HEAVY_FETCH_WORKERS = int(os.environ.get("SHADOWBROKER_HEAVY_FETCH_WORKERS", "2"))
_SLOW_FETCH_CONCURRENCY = int(os.environ.get("SHADOWBROKER_SLOW_FETCH_CONCURRENCY", "4"))
_STARTUP_HEAVY_CONCURRENCY = int(os.environ.get("SHADOWBROKER_STARTUP_HEAVY_CONCURRENCY", "2"))
# Fast-tier pool (flights, ships, sigint, …). Slow / heavy work uses a separate pool
# so Playwright, GDELT, CCTV ingest, etc. cannot starve the 60s refresh path (#375).
# Shared thread pool — reused across all fetch cycles instead of creating/destroying per tick
_SHARED_EXECUTOR = concurrent.futures.ThreadPoolExecutor(
max_workers=max(2, _FETCH_WORKERS), thread_name_prefix="fetch"
)
_SLOW_EXECUTOR = concurrent.futures.ThreadPoolExecutor(
max_workers=max(1, _HEAVY_FETCH_WORKERS), thread_name_prefix="fetch-slow"
)
def _cache_json_safe(value):
@@ -330,49 +319,10 @@ def seed_startup_caches() -> None:
# ---------------------------------------------------------------------------
# Scheduler & Orchestration
# ---------------------------------------------------------------------------
def _executor_for_task_label(label: str) -> concurrent.futures.ThreadPoolExecutor:
if label.startswith(("slow-tier", "startup-heavy")):
return _SLOW_EXECUTOR
return _SHARED_EXECUTOR
def _run_task_with_health_on_executor(
executor: concurrent.futures.ThreadPoolExecutor,
func,
name: str | None = None,
) -> None:
"""Run a scheduled job on the given pool so it cannot starve fast-tier workers."""
task_name = name or getattr(func, "__name__", "task")
future = executor.submit(func)
start = time.perf_counter()
try:
future.result(timeout=_TASK_HARD_TIMEOUT_S)
duration = time.perf_counter() - start
from services.fetch_health import record_success
record_success(task_name, duration_s=duration)
if duration > _SLOW_FETCH_S:
logger.warning("task slow: %s took %.2fs", task_name, duration)
except concurrent.futures.TimeoutError:
future.cancel()
duration = time.perf_counter() - start
from services.fetch_health import record_failure
record_failure(task_name, error=TimeoutError(f"{task_name} timed out"), duration_s=duration)
logger.error("task timed out: %s (%.2fs)", task_name, duration)
except Exception as e:
duration = time.perf_counter() - start
from services.fetch_health import record_failure
record_failure(task_name, error=e, duration_s=duration)
logger.exception("task failed: %s", task_name)
def _run_tasks(label: str, funcs: list, *, max_concurrency: int | None = None):
"""Run tasks concurrently and log any exceptions (do not fail silently)."""
if not funcs:
return
executor = _executor_for_task_label(label)
if max_concurrency is None:
if label.startswith("slow-tier"):
max_concurrency = _SLOW_FETCH_CONCURRENCY
@@ -380,13 +330,12 @@ def _run_tasks(label: str, funcs: list, *, max_concurrency: int | None = None):
max_concurrency = _STARTUP_HEAVY_CONCURRENCY
else:
max_concurrency = len(funcs)
pool_workers = getattr(executor, "_max_workers", len(funcs))
max_concurrency = max(1, min(max_concurrency, len(funcs), pool_workers))
max_concurrency = max(1, min(max_concurrency, len(funcs)))
remaining_funcs = list(funcs)
while remaining_funcs:
batch, remaining_funcs = remaining_funcs[:max_concurrency], remaining_funcs[max_concurrency:]
futures = {executor.submit(func): (func.__name__, time.perf_counter()) for func in batch}
futures = {_SHARED_EXECUTOR.submit(func): (func.__name__, time.perf_counter()) for func in batch}
_drain_task_futures(label, futures)
@@ -403,13 +352,6 @@ def _drain_task_futures(label: str, futures: dict):
record_success(name, duration_s=duration)
if duration > _SLOW_FETCH_S:
logger.warning(f"{label} task slow: {name} took {duration:.2f}s")
except concurrent.futures.TimeoutError:
future.cancel()
duration = time.perf_counter() - start
from services.fetch_health import record_failure
record_failure(name, error=TimeoutError(f"{name} timed out"), duration_s=duration)
logger.error("%s task timed out: %s (%.2fs)", label, name, duration)
except Exception as e:
duration = time.perf_counter() - start
from services.fetch_health import record_failure
@@ -463,6 +405,7 @@ def update_slow_data():
logger.info("Slow-tier data update starting...")
slow_funcs = [
fetch_news,
fetch_prediction_markets,
fetch_earthquakes,
fetch_firms_fires,
fetch_firms_country_fires,
@@ -484,9 +427,6 @@ def update_slow_data():
fetch_fishing_activity,
fetch_power_plants,
fetch_ukraine_air_raid_alerts,
fetch_malware_threats,
fetch_cyber_threats,
fetch_scm_suppliers,
]
_run_tasks("slow-tier", slow_funcs)
# Run correlation engine after all data is fresh
@@ -530,15 +470,6 @@ def _load_cctv_cache_for_startup() -> None:
logger.warning("Startup CCTV cache load failed (non-fatal): %s", e)
def _load_static_infrastructure_for_startup() -> None:
"""Disk-backed reference layers — instant, no network."""
for func in (fetch_datacenters, fetch_military_bases, fetch_power_plants):
try:
func()
except Exception as e:
logger.warning("Startup static infrastructure load failed for %s: %s", func.__name__, e)
def _run_delayed_startup_heavy_refresh() -> None:
if _STARTUP_HEAVY_REFRESH_DELAY_S > 0:
logger.info(
@@ -551,7 +482,6 @@ def _run_delayed_startup_heavy_refresh() -> None:
"startup-heavy",
[
update_slow_data,
fetch_telegram_osint,
fetch_volcanoes,
fetch_viirs_change_nodes,
fetch_unusual_whales,
@@ -590,7 +520,6 @@ def update_all_data(*, startup_mode: bool = False):
logger.info("Full data update starting (parallel)...")
# Preload Meshtastic map cache immediately (instant, from disk)
seed_startup_caches()
_load_static_infrastructure_for_startup()
with _data_lock:
meshtastic_seeded = bool(latest_data.get("meshtastic_map_nodes"))
if startup_mode:
@@ -667,9 +596,22 @@ def update_all_data(*, startup_mode: bool = False):
# (the scheduled job also runs every 10 min for ongoing refresh).
if startup_mode:
try:
from services.cctv_pipeline import get_all_cameras, scheduled_cctv_ingestors
_startup_ingestors = [ing for ing, _name in scheduled_cctv_ingestors()]
from services.cctv_pipeline import (
TFLJamCamIngestor, LTASingaporeIngestor, AustinTXIngestor,
NYCDOTIngestor, CaltransIngestor, ColoradoDOTIngestor,
WSDOTIngestor, GeorgiaDOTIngestor, IllinoisDOTIngestor,
MichiganDOTIngestor, WindyWebcamsIngestor, DGTNationalIngestor,
MadridCityIngestor, OSMTrafficCameraIngestor, get_all_cameras,
)
from services.cctv_pipeline import OSMALPRCameraIngestor
_startup_ingestors = [
TFLJamCamIngestor(), LTASingaporeIngestor(), AustinTXIngestor(),
NYCDOTIngestor(), CaltransIngestor(), ColoradoDOTIngestor(),
WSDOTIngestor(), GeorgiaDOTIngestor(), IllinoisDOTIngestor(),
MichiganDOTIngestor(), WindyWebcamsIngestor(), DGTNationalIngestor(),
MadridCityIngestor(), OSMTrafficCameraIngestor(),
OSMALPRCameraIngestor(),
]
logger.info("Running CCTV ingest at startup (%d ingestors)...", len(_startup_ingestors))
ingest_futures = {
_SHARED_EXECUTOR.submit(ing.ingest): ing.__class__.__name__
@@ -805,39 +747,6 @@ def start_scheduler():
misfire_grace_time=120,
)
# Telegram OSINT — hourly t.me/s channel scrape (kept off the 5-minute slow tier).
_telegram_interval_m = max(15, int(os.environ.get("TELEGRAM_OSINT_INTERVAL_MINUTES", "60")))
_scheduler.add_job(
lambda: _run_task_with_health(fetch_telegram_osint, "fetch_telegram_osint"),
"interval",
minutes=_telegram_interval_m,
next_run_time=datetime.utcnow() + timedelta(seconds=45),
id="telegram_osint",
max_instances=1,
misfire_grace_time=600,
)
# Prediction markets — own jittered cadence (Polymarket/Kalshi clearnet egress).
# Kept off the fixed 5-minute slow tier so poll timing is less fingerprintable.
from services.fetchers.prediction_markets import fetch_prediction_markets
_pm_interval_m = max(5, int(os.environ.get("PREDICTION_MARKETS_INTERVAL_MINUTES", "7")))
_pm_jitter_s = max(0, int(os.environ.get("PREDICTION_MARKETS_SCHEDULER_JITTER_S", "240")))
_pm_initial_max_s = max(0, int(os.environ.get("PREDICTION_MARKETS_INITIAL_DELAY_MAX_S", "180")))
_pm_first_run = datetime.utcnow() + timedelta(
seconds=random.randint(30, max(30, _pm_initial_max_s))
)
_scheduler.add_job(
lambda: _run_task_with_health(fetch_prediction_markets, "fetch_prediction_markets"),
"interval",
minutes=_pm_interval_m,
jitter=_pm_jitter_s,
next_run_time=_pm_first_run,
id="prediction_markets",
max_instances=1,
misfire_grace_time=300,
)
# Weather alerts — every 5 minutes (time-critical, separate from slow tier)
_scheduler.add_job(
lambda: _run_task_with_health(fetch_weather_alerts, "fetch_weather_alerts"),
@@ -868,39 +777,6 @@ def start_scheduler():
misfire_grace_time=60,
)
# Flight observation pruning — drops icao24 → first_seen_at entries we
# haven't seen in an hour. Same cadence as AIS prune for symmetry; the
# per-tick scan is O(in-flight aircraft) so it's cheap.
from services.fetchers.flight_observations import prune as _prune_flight_observations
_scheduler.add_job(
lambda: _run_task_with_health(_prune_flight_observations, "prune_flight_observations"),
"interval",
minutes=5,
id="flight_observation_prune",
max_instances=1,
misfire_grace_time=60,
)
# AISHub REST fallback — slow polling when the AISStream WebSocket
# primary is offline. Configurable interval via
# AISHUB_POLL_INTERVAL_MINUTES env (default 20 min). Operator must
# set AISHUB_USERNAME to opt in. The fetcher is gated internally on
# the primary being disconnected, so this job is cheap when the
# WebSocket is healthy (early-returns after a status check).
from services.fetchers.aishub_fallback import (
aishub_poll_interval_minutes,
fetch_aishub_vessels,
)
_aishub_interval = aishub_poll_interval_minutes()
_scheduler.add_job(
lambda: _run_task_with_health(fetch_aishub_vessels, "fetch_aishub_vessels"),
"interval",
minutes=_aishub_interval,
id="aishub_fallback",
max_instances=1,
misfire_grace_time=120,
)
# Route database — bulk refresh from vrs-standing-data.adsb.lol every 5
# days. Replaces the legacy /api/0/routeset POST (blocked under our UA,
# and broken upstream). Airline schedules change on a quarterly cycle,
@@ -935,7 +811,7 @@ def start_scheduler():
# GDELT — every 30 minutes (downloads 32 ZIP files per call, avoid rate limits)
_scheduler.add_job(
lambda: _run_task_with_health_on_executor(_SLOW_EXECUTOR, fetch_gdelt, "fetch_gdelt"),
lambda: _run_task_with_health(fetch_gdelt, "fetch_gdelt"),
"interval",
minutes=30,
id="gdelt",
@@ -943,9 +819,7 @@ def start_scheduler():
misfire_grace_time=120,
)
_scheduler.add_job(
lambda: _run_task_with_health_on_executor(
_SLOW_EXECUTOR, update_liveuamap, "update_liveuamap"
),
lambda: _run_task_with_health(update_liveuamap, "update_liveuamap"),
"interval",
minutes=30,
id="liveuamap",
@@ -955,9 +829,39 @@ def start_scheduler():
# CCTV pipeline refresh — runs all ingestors, then refreshes in-memory data.
# Delay the first run slightly so startup serves cached/DB-backed data first.
from services.cctv_pipeline import scheduled_cctv_ingestors
from services.cctv_pipeline import (
TFLJamCamIngestor,
LTASingaporeIngestor,
AustinTXIngestor,
NYCDOTIngestor,
CaltransIngestor,
ColoradoDOTIngestor,
WSDOTIngestor,
GeorgiaDOTIngestor,
IllinoisDOTIngestor,
MichiganDOTIngestor,
WindyWebcamsIngestor,
DGTNationalIngestor,
MadridCityIngestor,
OSMTrafficCameraIngestor,
)
_cctv_ingestors = scheduled_cctv_ingestors()
_cctv_ingestors = [
(TFLJamCamIngestor(), "cctv_tfl"),
(LTASingaporeIngestor(), "cctv_lta"),
(AustinTXIngestor(), "cctv_atx"),
(NYCDOTIngestor(), "cctv_nyc"),
(CaltransIngestor(), "cctv_caltrans"),
(ColoradoDOTIngestor(), "cctv_codot"),
(WSDOTIngestor(), "cctv_wsdot"),
(GeorgiaDOTIngestor(), "cctv_gdot"),
(IllinoisDOTIngestor(), "cctv_idot"),
(MichiganDOTIngestor(), "cctv_mdot"),
(WindyWebcamsIngestor(), "cctv_windy"),
(DGTNationalIngestor(), "cctv_dgt"),
(MadridCityIngestor(), "cctv_madrid"),
(OSMTrafficCameraIngestor(), "cctv_osm"),
]
def _run_cctv_ingest_cycle():
from services.fetchers._store import is_any_active
@@ -976,9 +880,7 @@ def start_scheduler():
logger.warning(f"CCTV post-ingest refresh failed: {e}")
_scheduler.add_job(
lambda: _run_task_with_health_on_executor(
_SLOW_EXECUTOR, _run_cctv_ingest_cycle, "cctv_ingest_cycle"
),
_run_cctv_ingest_cycle,
"interval",
minutes=10,
id="cctv_ingest",
@@ -1048,16 +950,6 @@ def start_scheduler():
misfire_grace_time=600,
)
# Sentinel-2 road corridor freight trends — daily (opt-in, heavy CDSE usage)
_scheduler.add_job(
lambda: _run_task_with_health(fetch_road_corridor_trends, "fetch_road_corridor_trends"),
"interval",
hours=24,
id="road_corridor_trends",
max_instances=1,
misfire_grace_time=3600,
)
# FIMI disinformation index — every 12 hours (weekly editorial feed)
_scheduler.add_job(
lambda: _run_task_with_health(fetch_fimi, "fetch_fimi"),
@@ -1068,19 +960,16 @@ def start_scheduler():
misfire_grace_time=600,
)
# UAP sightings (NUFORC) — weekly Mondays 12:00 UTC. Rolling ~60-day window;
# each self-hosted install pulls live nuforc.org so operators see current
# reports (typically ~400500 mappable pins). Disk cache TTL defaults to 7d.
# UAP sightings (NUFORC) — daily at 12:00 UTC
_scheduler.add_job(
lambda: _run_task_with_health(
lambda: fetch_uap_sightings(force_refresh=True),
"fetch_uap_sightings",
),
"cron",
day_of_week="mon",
hour=12,
minute=0,
id="uap_sightings_weekly",
id="uap_sightings_daily",
max_instances=1,
misfire_grace_time=3600,
)
@@ -1205,10 +1094,7 @@ def start_scheduler():
def stop_scheduler():
if _scheduler:
_scheduler.shutdown(wait=False)
_SLOW_EXECUTOR.shutdown(wait=False, cancel_futures=True)
def get_latest_data():
from services.fetchers._store import get_latest_data_deepcopy_snapshot
return get_latest_data_deepcopy_snapshot()
return get_latest_data_subset(*latest_data.keys())
-1
View File
@@ -46,7 +46,6 @@ _CRITICAL_WARN = {
_OPTIONAL = {
"AIS_API_KEY": "AIS vessel streaming (ships layer will be empty without it)",
"GFW_API_TOKEN": "Global Fishing Watch fishing-vessel activity (fishing_activity layer)",
"LTA_ACCOUNT_KEY": "Singapore LTA traffic cameras (CCTV layer)",
"PUBLIC_API_KEY": "Optional client auth for public endpoints (recommended for exposed deployments)",
}
+1 -8
View File
@@ -16,15 +16,8 @@ from typing import Any
import requests
from services.network_utils import outbound_user_agent
logger = logging.getLogger(__name__)
def _feed_ingester_user_agent() -> str:
# Round 7a: per-install attribution for operator-curated feed URLs.
return outbound_user_agent("feed-ingester")
# ---------------------------------------------------------------------------
# State
# ---------------------------------------------------------------------------
@@ -164,7 +157,7 @@ def _fetch_layer_feed(layer: dict[str, Any]) -> None:
resp = requests.get(
feed_url,
timeout=_FETCH_TIMEOUT,
headers={"User-Agent": _feed_ingester_user_agent()},
headers={"User-Agent": "ShadowBroker-FeedIngester/1.0"},
)
resp.raise_for_status()
data = resp.json()
+10 -34
View File
@@ -69,11 +69,6 @@ class DashboardData(TypedDict, total=False):
sar_scenes: List[Dict[str, Any]]
sar_anomalies: List[Dict[str, Any]]
sar_aoi_coverage: List[Dict[str, Any]]
road_corridor_trends: Dict[str, Any]
malware_threats: Dict[str, Any]
cyber_threats: Dict[str, Any]
scm_suppliers: Dict[str, Any]
telegram_osint: Dict[str, Any]
# In-memory store
@@ -124,11 +119,6 @@ latest_data: DashboardData = {
"sar_scenes": [],
"sar_anomalies": [],
"sar_aoi_coverage": [],
"road_corridor_trends": {"updated_at": None, "corridors": []},
"malware_threats": {"threats": [], "total": 0, "timestamp": None},
"cyber_threats": {"threats": [], "stats": {}},
"scm_suppliers": {"suppliers": [], "total": 0, "critical_count": 0},
"telegram_osint": {"posts": [], "total": 0, "geolocated": 0, "timestamp": None},
}
# Per-source freshness timestamps
@@ -240,35 +230,27 @@ _active_layers_version: int = 0
def bump_active_layers_version() -> None:
"""Increment the active-layer version when frontend toggles change response shape."""
global _active_layers_version
with _data_lock:
_active_layers_version += 1
_active_layers_version += 1
def get_active_layers_version() -> int:
"""Return the current active-layer version (for ETag generation)."""
with _data_lock:
return _active_layers_version
return _active_layers_version
def get_latest_data_subset(*keys: str) -> DashboardData:
"""Return a deep snapshot of only the requested top-level keys.
Grabs references under the lock, then deep-copies outside it so fetcher
writers are not blocked for the duration of a large clone (#375).
This avoids cloning the entire dashboard store for endpoints that only need
a small tier-specific subset. Deep copy ensures callers cannot mutate
nested structures (e.g. individual flight dicts) and affect the live store.
"""
with _data_lock:
items = [(key, latest_data.get(key)) for key in keys]
snap: DashboardData = {}
for key, value in items:
snap[key] = copy.deepcopy(value)
return snap
def get_latest_data_deepcopy_snapshot() -> DashboardData:
"""Deep-copy the full dashboard for legacy /api/live-data consumers."""
with _data_lock:
items = list(latest_data.items())
return {key: copy.deepcopy(value) for key, value in items}
snap: DashboardData = {}
for key in keys:
value = latest_data.get(key)
snap[key] = copy.deepcopy(value)
return snap
def get_latest_data_subset_refs(*keys: str) -> DashboardData:
@@ -338,12 +320,6 @@ active_layers: dict[str, bool] = {
"ai_intel": True,
"crowdthreat": False,
"sar": True,
"road_corridor_trends": False,
"malware_c2": False,
"submarine_cables": False,
"scm_suppliers": False,
"cyber_threats": False,
"telegram_osint": True,
}
@@ -21,13 +21,6 @@ from typing import Any
import defusedxml.ElementTree as ET
import requests
def _aircraft_db_user_agent() -> str:
"""Round 7a: lazy import so the per-install operator handle is included."""
from services.network_utils import outbound_user_agent
return outbound_user_agent("aircraft-database")
logger = logging.getLogger(__name__)
_BUCKET_LIST_URL = (
@@ -38,6 +31,8 @@ _S3_NS = "{http://s3.amazonaws.com/doc/2006-03-01/}"
_REFRESH_INTERVAL_S = 5 * 24 * 3600
_LIST_TIMEOUT_S = 30
_DOWNLOAD_TIMEOUT_S = 600
from services.network_utils import DEFAULT_USER_AGENT as _USER_AGENT
_lock = threading.RLock()
_aircraft_by_hex: dict[str, dict[str, str]] = {}
_last_refresh = 0.0
@@ -49,7 +44,7 @@ def _latest_snapshot_key() -> str:
response = requests.get(
_BUCKET_LIST_URL,
timeout=_LIST_TIMEOUT_S,
headers={"User-Agent": _aircraft_db_user_agent()},
headers={"User-Agent": _USER_AGENT},
)
response.raise_for_status()
root = ET.fromstring(response.text)
@@ -76,7 +71,7 @@ def _stream_csv_index(url: str) -> dict[str, dict[str, str]]:
url,
timeout=_DOWNLOAD_TIMEOUT_S,
stream=True,
headers={"User-Agent": _aircraft_db_user_agent()},
headers={"User-Agent": _USER_AGENT},
) as response:
response.raise_for_status()
line_iter = (
@@ -1,290 +0,0 @@
"""AISHub REST fallback for ship tracking when AISStream is unreachable.
Background
----------
On 2026-05-23 ``stream.aisstream.io`` (the primary live AIS WebSocket feed)
went fully offline. Backend's only ship signal vanished. This module polls
``data.aishub.net``'s free REST API on a slow cadence (default 20 min) when
the WebSocket primary is disconnected, so the ships layer doesn't go fully
dark during upstream outages.
Why 20 minutes
--------------
AISHub's free tier is rate-limited and explicitly asks consumers to be
courteous. 20 minutes is well inside their limits, gives ships time to
move enough to look "alive" on the map, and won't drain their service.
Configurable via the ``AISHUB_POLL_INTERVAL_MINUTES`` env var (clamped to
[1, 360]).
Why slow vs primary
-------------------
This is degraded mode, not a replacement. A ship at 20 knots moves about
6 nautical miles in 20 minutes visible on the map but coarser than the
real-time WebSocket signal. When AISStream comes back online, the
WebSocket data will overwrite these records via the same ``_vessels``
dict and ``source`` will flip from ``"aishub"`` back to upstream-live.
Opt-in
------
Operator must set ``AISHUB_USERNAME`` (free registration at
https://www.aishub.net/api). If unset, this fetcher is a no-op.
"""
from __future__ import annotations
import json
import logging
import os
import time
from typing import Any
from services.network_utils import fetch_with_curl
logger = logging.getLogger(__name__)
AISHUB_URL = "https://data.aishub.net/ws.php"
def aishub_username() -> str:
return str(os.environ.get("AISHUB_USERNAME", "")).strip()
def aishub_fallback_enabled() -> bool:
"""Returns True only when the operator has registered with AISHub and
set ``AISHUB_USERNAME``. The presence of the username is the opt-in."""
return bool(aishub_username())
def aishub_poll_interval_minutes() -> int:
"""Default 20 minutes. Clamped to [1, 360] so a hostile or
misconfigured env var can't either hammer the upstream or silence the
fallback for a day."""
raw = os.environ.get("AISHUB_POLL_INTERVAL_MINUTES", "20")
try:
value = int(str(raw).strip())
except (TypeError, ValueError):
value = 20
return max(1, min(360, value))
def _should_run_fallback() -> bool:
"""Only run when the primary WebSocket is disconnected. Avoids stomping
over fresher live data when AISStream is healthy.
Returns False if:
* AISHub isn't configured (no username)
* AISStream primary is currently connected (recent vessel messages)
Returns True only when AIS is configured-but-down. The
``proxy_spawn_count > 0`` guard means "the primary has at least tried
to run" — if the user set AISHUB_USERNAME but not AIS_API_KEY at all,
AISHub will still serve as a primary on its own slow cadence.
"""
if not aishub_fallback_enabled():
return False
try:
from services.ais_stream import ais_proxy_status
status = ais_proxy_status() or {}
except Exception:
return True # ais_stream not importable? still try AISHub.
# If the WebSocket primary is connected, skip the fallback — fresher
# data is already flowing.
if status.get("connected") is True:
return False
return True
def _parse_aishub_response(payload: str) -> list[dict]:
"""Parse the AISHub JSON response into a list of vessel records.
Successful response shape::
[
{"ERROR": false, "USERNAME": "...", "FORMAT": "1", "RECORDS": N},
[{"MMSI": ..., "LATITUDE": ..., "LONGITUDE": ..., ...}, ...]
]
Error response shape::
[{"ERROR": true, "ERROR_MESSAGE": "..."}]
Empty payload (e.g. silent rate-limit drop) returns ``[]``.
"""
if not payload or not payload.strip():
return []
try:
data = json.loads(payload)
except json.JSONDecodeError as e:
logger.warning("AISHub: response is not JSON: %s", e)
return []
if not isinstance(data, list) or not data:
return []
header = data[0] if isinstance(data[0], dict) else {}
if header.get("ERROR") is True:
logger.warning(
"AISHub: upstream error: %s",
header.get("ERROR_MESSAGE", "<unspecified>"),
)
return []
if len(data) < 2 or not isinstance(data[1], list):
return []
return [row for row in data[1] if isinstance(row, dict)]
def _normalize_record(row: dict) -> dict | None:
"""Map an AISHub vessel record to our internal vessel schema.
Returns None when the record can't be used (no MMSI, bad position,
sentinel "not available" lat/lng).
"""
try:
mmsi = int(row.get("MMSI") or 0)
except (TypeError, ValueError):
return None
if not mmsi:
return None
try:
lat = float(row.get("LATITUDE"))
lng = float(row.get("LONGITUDE"))
except (TypeError, ValueError):
return None
# AIS uses 91/181 as "no position available" sentinels.
if abs(lat) > 90 or abs(lng) > 180:
return None
if lat == 91.0 or lng == 181.0:
return None
# SOG raw 102.3 is "speed not available"; sanitize to 0.
try:
sog_raw = float(row.get("SOG") or 0)
except (TypeError, ValueError):
sog_raw = 0.0
sog = 0.0 if sog_raw >= 102.2 else sog_raw
try:
cog = float(row.get("COG") or 0)
except (TypeError, ValueError):
cog = 0.0
try:
heading_raw = int(row.get("HEADING") or 511)
except (TypeError, ValueError):
heading_raw = 511
# AIS heading sentinel 511 = "not available" — fall back to COG.
heading = heading_raw if heading_raw != 511 else cog
try:
ais_type = int(row.get("TYPE") or 0)
except (TypeError, ValueError):
ais_type = 0
return {
"mmsi": mmsi,
"lat": lat,
"lng": lng,
"sog": sog,
"cog": cog,
"heading": heading,
"name": str(row.get("NAME") or "").strip() or "UNKNOWN",
"callsign": str(row.get("CALLSIGN") or "").strip(),
"destination": str(row.get("DEST") or "").strip().replace("@", "") or "",
"imo": int(row.get("IMO") or 0),
"ais_type_code": ais_type,
}
def fetch_aishub_vessels() -> int:
"""Poll AISHub and merge vessels into the shared ``_vessels`` store.
Returns the number of vessels updated (0 on skip, error, or no data).
Designed to be called by the APScheduler tier see
``data_fetcher.py`` for the 20-minute interval job that wraps this.
"""
if not _should_run_fallback():
logger.debug("AISHub fallback skipped: primary connected or not configured")
return 0
username = aishub_username()
url = (
f"{AISHUB_URL}?username={username}&format=1&output=json"
f"&compress=0"
)
try:
response = fetch_with_curl(url, timeout=30)
except Exception as e:
logger.warning("AISHub fetch failed: %s", e)
return 0
if not response or response.status_code != 200:
logger.warning(
"AISHub HTTP %s",
getattr(response, "status_code", "None"),
)
return 0
rows = _parse_aishub_response(getattr(response, "text", "") or "")
if not rows:
return 0
# Inline imports to avoid a circular dependency at module load time
# (ais_stream imports lots of things and is loaded by main.py).
from services.ais_stream import (
_vessels,
_vessels_lock,
_record_vessel_trail_locked,
classify_vessel,
get_country_from_mmsi,
)
now = time.time()
count = 0
with _vessels_lock:
for row in rows:
normalized = _normalize_record(row)
if normalized is None:
continue
mmsi = normalized["mmsi"]
vessel = _vessels.setdefault(mmsi, {"mmsi": mmsi})
# Don't overwrite fresher live data: if the WebSocket pushed an
# update for this MMSI more recently than now-1s (race during
# the brief reconnection window) keep the live one.
last = float(vessel.get("_updated") or 0)
if last > now - 1:
continue
vessel.update(
{
"lat": normalized["lat"],
"lng": normalized["lng"],
"sog": normalized["sog"],
"cog": normalized["cog"],
"heading": normalized["heading"],
"_updated": now,
"source": "aishub",
}
)
if normalized["name"] and normalized["name"] != "UNKNOWN":
vessel["name"] = normalized["name"]
if normalized["callsign"]:
vessel["callsign"] = normalized["callsign"]
if normalized["destination"]:
vessel["destination"] = normalized["destination"]
if normalized["imo"]:
vessel["imo"] = normalized["imo"]
if normalized["ais_type_code"]:
vessel["ais_type_code"] = normalized["ais_type_code"]
vessel["type"] = classify_vessel(normalized["ais_type_code"], mmsi)
if not vessel.get("country"):
vessel["country"] = get_country_from_mmsi(mmsi)
_record_vessel_trail_locked(
mmsi,
normalized["lat"],
normalized["lng"],
normalized["sog"],
now,
)
count += 1
if count:
logger.info(
"AISHub fallback: merged %d vessels (poll interval %d min)",
count,
aishub_poll_interval_minutes(),
)
return count
-62
View File
@@ -1,62 +0,0 @@
"""CISA KEV + cyber threat stats (Osiris port)."""
from __future__ import annotations
import logging
from datetime import datetime, timezone
from typing import Any
from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
from services.network_utils import fetch_with_curl
logger = logging.getLogger(__name__)
def fetch_cyber_threats() -> dict[str, Any]:
if not is_any_active("cyber_threats"):
return latest_data.get("cyber_threats") or {"threats": [], "stats": {}}
results: dict[str, Any] = {"threats": [], "stats": {}, "timestamp": datetime.now(timezone.utc).isoformat()}
try:
resp = fetch_with_curl(
"https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json",
timeout=15,
)
if resp.status_code == 200:
data = resp.json()
vulns = data.get("vulnerabilities") or []
results["stats"]["cisa_total"] = len(vulns)
now = datetime.now(timezone.utc)
recent = []
for v in vulns:
try:
added = datetime.fromisoformat(v.get("dateAdded", "").replace("Z", "+00:00"))
days = (now - added).total_seconds() / 86400
except Exception:
continue
if days <= 30:
recent.append(v)
recent = recent[:10]
results["threats"] = [
{
"id": v.get("cveID"),
"name": v.get("vulnerabilityName"),
"vendor": v.get("vendorProject"),
"product": v.get("product"),
"severity": "CRITICAL",
"date": v.get("dateAdded"),
"due": v.get("dueDate"),
"source": "CISA KEV",
}
for v in recent
]
except Exception as exc:
logger.warning("CISA KEV fetch failed: %s", exc)
count = len(results["threats"])
results["stats"]["active_cves"] = count
results["stats"]["threat_level"] = "CRITICAL" if count >= 8 else "HIGH" if count >= 4 else "ELEVATED"
with _data_lock:
latest_data["cyber_threats"] = results
_mark_fresh("cyber_threats")
return results
+109 -289
View File
@@ -15,11 +15,7 @@ import time
import heapq
from datetime import datetime, timedelta
from pathlib import Path
from services.network_utils import (
external_curl_fallback_enabled,
fetch_with_curl,
outbound_user_agent,
)
from services.network_utils import external_curl_fallback_enabled, fetch_with_curl
from services.fetchers._store import latest_data, _data_lock, _mark_fresh
from services.fetchers.nuforc_enrichment import enrich_sighting
from services.fetchers.retry import with_retry
@@ -283,13 +279,13 @@ def fetch_weather_alerts():
return
alerts = []
try:
# weather.gov requires a User-Agent per their API policy. Round 7a:
# send the per-install operator handle so they can rate-limit per
# operator instead of treating "Shadowbroker" as one entity.
from services.network_utils import outbound_user_agent
# weather.gov requires a User-Agent per their API policy, but it
# need not identify the operator. Use a project-generic string and
# let the user override via SHADOWBROKER_USER_AGENT if needed.
from services.network_utils import DEFAULT_USER_AGENT
url = "https://api.weather.gov/alerts/active?status=actual"
headers = {
"User-Agent": outbound_user_agent("weather-gov"),
"User-Agent": DEFAULT_USER_AGENT,
"Accept": "application/geo+json",
}
response = fetch_with_curl(url, timeout=15, headers=headers)
@@ -692,8 +688,7 @@ _NUFORC_TILESET = "nuforc.cmm18aqea06bu1mmselhpnano-0ce5v"
_NUFORC_TOKEN = os.environ.get("NUFORC_MAPBOX_TOKEN", "").strip()
_NUFORC_RADIUS_M = 200_000 # 200 km query radius
_NUFORC_LIMIT = 50 # max features per tilequery call
# Rolling window shown on the map (~2 calendar months). Override via NUFORC_RECENT_DAYS.
_NUFORC_RECENT_DAYS = max(1, int(os.environ.get("NUFORC_RECENT_DAYS", "60")))
_NUFORC_RECENT_DAYS = int(os.environ.get("NUFORC_RECENT_DAYS", "60"))
_NUFORC_HF_FALLBACK_LIMIT = max(25, int(os.environ.get("NUFORC_HF_FALLBACK_LIMIT", "250")))
_NUFORC_HF_GEOCODE_LIMIT = max(25, int(os.environ.get("NUFORC_HF_GEOCODE_LIMIT", "150")))
_NUFORC_GEOCODE_WORKERS = max(1, int(os.environ.get("NUFORC_GEOCODE_WORKERS", "1")))
@@ -701,12 +696,6 @@ _NUFORC_GEOCODE_WORKERS = max(1, int(os.environ.get("NUFORC_GEOCODE_WORKERS", "1
# practice, so a 0.3s spacing keeps us well under any soft throttle while
# still rebuilding a full 12-month window in ~10 minutes.
_NUFORC_GEOCODE_SPACING_S = float(os.environ.get("NUFORC_GEOCODE_SPACING_S", "0.3"))
# Disk cache TTL — match the weekly scheduler so restarts between fetches still
# serve the same rolling 60-day snapshot without hammering nuforc.org daily.
_NUFORC_CACHE_TTL_S = max(
3600,
int(os.environ.get("NUFORC_CACHE_TTL_HOURS", "168")) * 3600,
)
_NUFORC_DATA_DIR = Path(__file__).resolve().parent.parent.parent / "data"
_NUFORC_SIGHTINGS_CACHE_FILE = _NUFORC_DATA_DIR / "nuforc_recent_sightings.json"
_NUFORC_LOCATION_CACHE_FILE = _NUFORC_DATA_DIR / "nuforc_location_cache.json"
@@ -724,12 +713,7 @@ _NUFORC_LIVE_NONCE_RE = re.compile(
r'id=["\']wdtNonceFrontendServerSide_1["\'][^>]*value=["\']([a-f0-9]+)["\']'
)
_NUFORC_LIVE_SIGHTING_ID_RE = re.compile(r"id=(\d+)")
# Round 7a: NUFORC's site is sensitive to non-browser UAs but we send a
# per-install operator handle prefixed by Mozilla/5.0 so we're identifiable
# without being aggregately blocked. Operators who want stricter privacy
# can override the entire UA via SHADOWBROKER_USER_AGENT.
def _nuforc_live_user_agent() -> str:
return f"Mozilla/5.0 ({outbound_user_agent('nuforc-live')})"
_NUFORC_LIVE_USER_AGENT = "Mozilla/5.0 (ShadowBroker-OSINT NUFORC-fetcher)"
_NUFORC_LIVE_SESSION_COOKIES = _NUFORC_DATA_DIR / "nuforc_session.cookies"
# Sample grid covering continental US, Alaska, Hawaii, Canada, UK, Australia
@@ -773,35 +757,6 @@ def _fetch_nuforc_tilequery(lng: float, lat: float) -> list[dict]:
return []
def _uap_cutoff_date_str() -> str:
return (datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)).strftime("%Y-%m-%d")
def _uap_sighting_date_str(sighting: dict) -> str | None:
"""Normalize a sighting row to YYYY-MM-DD for window filtering."""
from services.fetchers.nuforc_enrichment import _parse_date
raw = str(sighting.get("date_time") or sighting.get("occurred") or "").strip()
if not raw:
return None
parsed = _parse_date(raw)
if parsed:
return parsed
if len(raw) >= 10 and raw[4] == "-" and raw[7] == "-":
return raw[:10]
return None
def _filter_uap_sightings_recent(sightings: list[dict]) -> list[dict]:
"""Drop anything outside the rolling NUFORC_RECENT_DAYS window."""
cutoff = _uap_cutoff_date_str()
return [
sighting
for sighting in sightings
if (_uap_sighting_date_str(sighting) or "") >= cutoff
]
def _parse_nuforc_tile_date(value: str) -> datetime | None:
raw = str(value or "").strip()
if not raw:
@@ -838,41 +793,19 @@ def _load_nuforc_sightings_cache(*, force_refresh: bool = False) -> list[dict] |
built_dt = datetime.fromisoformat(built) if built else None
if built_dt is None:
return None
if (datetime.utcnow() - built_dt).total_seconds() > _NUFORC_CACHE_TTL_S:
return None
if raw.get("cutoff_days") != _NUFORC_RECENT_DAYS:
logger.info(
"UAP sightings: cache cutoff_days mismatch (%s != %s); rebuilding",
raw.get("cutoff_days"),
_NUFORC_RECENT_DAYS,
)
if (datetime.utcnow() - built_dt).total_seconds() > 86400:
return None
sightings = raw.get("sightings")
if isinstance(sightings, list):
if len(sightings) <= 0:
logger.info("UAP sightings: cache is fresh but empty; rebuilding")
return None
filtered = _filter_uap_sightings_recent(sightings)
if not filtered:
logger.warning(
"UAP sightings: cache had %d rows but none within last %d days; rebuilding",
len(sightings),
_NUFORC_RECENT_DAYS,
)
return None
if len(filtered) < len(sightings):
logger.info(
"UAP sightings: dropped %d stale cached rows outside %d-day window",
len(sightings) - len(filtered),
_NUFORC_RECENT_DAYS,
)
logger.info(
"UAP sightings: loaded %d cached reports from %s (within %d-day window)",
len(filtered),
"UAP sightings: loaded %d cached reports from %s",
len(sightings),
built,
_NUFORC_RECENT_DAYS,
)
return filtered
return sightings
except Exception as e:
logger.warning("UAP sightings: cache load error: %s", e)
return None
@@ -886,7 +819,6 @@ def _save_nuforc_sightings_cache(sightings: list[dict]) -> None:
_NUFORC_DATA_DIR.mkdir(parents=True, exist_ok=True)
payload = {
"built": datetime.utcnow().isoformat(),
"cutoff_days": _NUFORC_RECENT_DAYS,
"count": len(sightings),
"sightings": sightings,
}
@@ -1025,7 +957,7 @@ def _photon_lookup(query: str) -> list[float] | None:
res = fetch_with_curl(
url,
headers={
"User-Agent": outbound_user_agent("nuforc-uap-geocode"),
"User-Agent": "ShadowBroker-OSINT/1.0 (NUFORC-UAP-layer)",
"Accept-Language": "en",
},
timeout=10,
@@ -1094,10 +1026,97 @@ def _nuforc_months_for_window(days: int) -> list[str]:
return months
def _parse_nuforc_live_datatables_rows(raw_rows: list) -> list[dict]:
"""Parse wpDataTables ``data`` array into normalized row dicts."""
def _nuforc_fetch_month_live(yyyymm: str, cookie_jar: Path) -> list[dict]:
"""Pull one month of NUFORC sightings via the live wpDataTables AJAX.
Returns a list of raw row dicts with the fields we care about:
id, occurred (YYYY-MM-DD), posted (YYYY-MM-DD), city, state, country,
shape_raw, summary, explanation. Empty list on any failure caller
decides whether a failure is fatal.
"""
from services.fetchers.nuforc_enrichment import _parse_date
curl_bin = shutil.which("curl") or "curl"
index_url = _NUFORC_LIVE_INDEX_URL.format(yyyymm=yyyymm)
ajax_url = _NUFORC_LIVE_AJAX_URL.format(yyyymm=yyyymm)
if not external_curl_fallback_enabled():
logger.warning(
"NUFORC live: external curl disabled on Windows for %s; "
"set SHADOWBROKER_ENABLE_WINDOWS_CURL_FALLBACK=1 to opt in.",
yyyymm,
)
return []
# Step 1: GET the month index to capture session cookies + fresh nonce.
try:
index_res = subprocess.run(
[
curl_bin, "-sL",
"-A", _NUFORC_LIVE_USER_AGENT,
"-c", str(cookie_jar),
"-b", str(cookie_jar),
index_url,
],
capture_output=True, text=True, timeout=60,
encoding="utf-8", errors="replace",
)
except (subprocess.SubprocessError, OSError) as e:
logger.warning("NUFORC live: index fetch failed for %s: %s", yyyymm, e)
return []
if index_res.returncode != 0 or not index_res.stdout:
logger.warning(
"NUFORC live: index fetch exit=%s for %s", index_res.returncode, yyyymm,
)
return []
nonce_match = _NUFORC_LIVE_NONCE_RE.search(index_res.stdout)
if not nonce_match:
logger.warning("NUFORC live: wdtNonce not found on index page for %s", yyyymm)
return []
nonce = nonce_match.group(1)
# Step 2: POST to admin-ajax.php with length=-1 to pull the whole month.
post_data = (
"draw=1"
"&columns%5B0%5D%5Bdata%5D=0&columns%5B0%5D%5Bsearchable%5D=true&columns%5B0%5D%5Borderable%5D=false"
"&columns%5B1%5D%5Bdata%5D=1&columns%5B1%5D%5Bsearchable%5D=true&columns%5B1%5D%5Borderable%5D=true"
"&order%5B0%5D%5Bcolumn%5D=1&order%5B0%5D%5Bdir%5D=desc"
"&start=0&length=-1"
"&search%5Bvalue%5D=&search%5Bregex%5D=false"
f"&wdtNonce={nonce}"
)
try:
ajax_res = subprocess.run(
[
curl_bin, "-sL",
"-A", _NUFORC_LIVE_USER_AGENT,
"-c", str(cookie_jar),
"-b", str(cookie_jar),
"-X", "POST",
"-H", f"Referer: {index_url}",
"-H", "X-Requested-With: XMLHttpRequest",
"-H", "Content-Type: application/x-www-form-urlencoded",
"--data", post_data,
ajax_url,
],
capture_output=True, text=True, timeout=120,
encoding="utf-8", errors="replace",
)
except (subprocess.SubprocessError, OSError) as e:
logger.warning("NUFORC live: ajax fetch failed for %s: %s", yyyymm, e)
return []
if ajax_res.returncode != 0 or not ajax_res.stdout:
logger.warning(
"NUFORC live: ajax fetch exit=%s for %s", ajax_res.returncode, yyyymm,
)
return []
try:
payload = json.loads(ajax_res.stdout)
except json.JSONDecodeError as e:
logger.warning("NUFORC live: ajax JSON decode failed for %s: %s", yyyymm, e)
return []
raw_rows = payload.get("data") or []
out: list[dict] = []
for raw in raw_rows:
if not isinstance(raw, list) or len(raw) < 8:
@@ -1146,166 +1165,16 @@ def _parse_nuforc_live_datatables_rows(raw_rows: list) -> list[dict]:
return out
def _nuforc_fetch_month_live_requests(yyyymm: str) -> list[dict]:
"""Live NUFORC month fetch via requests (Windows-safe when curl is disabled)."""
import requests
index_url = _NUFORC_LIVE_INDEX_URL.format(yyyymm=yyyymm)
ajax_url = _NUFORC_LIVE_AJAX_URL.format(yyyymm=yyyymm)
headers = {"User-Agent": _nuforc_live_user_agent()}
session = requests.Session()
session.headers.update(headers)
try:
index_res = session.get(index_url, timeout=60)
except requests.RequestException as e:
logger.warning("NUFORC live (requests): index fetch failed for %s: %s", yyyymm, e)
return []
if index_res.status_code != 200 or not index_res.text:
logger.warning(
"NUFORC live (requests): index HTTP %s for %s",
index_res.status_code,
yyyymm,
)
return []
nonce_match = _NUFORC_LIVE_NONCE_RE.search(index_res.text)
if not nonce_match:
logger.warning("NUFORC live (requests): wdtNonce not found for %s", yyyymm)
return []
nonce = nonce_match.group(1)
post_data = (
"draw=1"
"&columns%5B0%5D%5Bdata%5D=0&columns%5B0%5D%5Bsearchable%5D=true&columns%5B0%5D%5Borderable%5D=false"
"&columns%5B1%5D%5Bdata%5D=1&columns%5B1%5D%5Bsearchable%5D=true&columns%5B1%5D%5Borderable%5D=true"
"&order%5B0%5D%5Bcolumn%5D=1&order%5B0%5D%5Bdir%5D=desc"
"&start=0&length=-1"
"&search%5Bvalue%5D=&search%5Bregex%5D=false"
f"&wdtNonce={nonce}"
)
try:
ajax_res = session.post(
ajax_url,
data=post_data,
headers={
**headers,
"Referer": index_url,
"X-Requested-With": "XMLHttpRequest",
"Content-Type": "application/x-www-form-urlencoded",
},
timeout=120,
)
except requests.RequestException as e:
logger.warning("NUFORC live (requests): ajax failed for %s: %s", yyyymm, e)
return []
if ajax_res.status_code != 200 or not ajax_res.text:
logger.warning(
"NUFORC live (requests): ajax HTTP %s for %s",
ajax_res.status_code,
yyyymm,
)
return []
try:
payload = ajax_res.json()
except json.JSONDecodeError as e:
logger.warning("NUFORC live (requests): ajax JSON decode failed for %s: %s", yyyymm, e)
return []
return _parse_nuforc_live_datatables_rows(payload.get("data") or [])
def _nuforc_fetch_month_live_curl(yyyymm: str, cookie_jar: Path) -> list[dict]:
"""Pull one month of NUFORC sightings via curl + wpDataTables AJAX."""
curl_bin = shutil.which("curl") or "curl"
index_url = _NUFORC_LIVE_INDEX_URL.format(yyyymm=yyyymm)
ajax_url = _NUFORC_LIVE_AJAX_URL.format(yyyymm=yyyymm)
# Step 1: GET the month index to capture session cookies + fresh nonce.
try:
index_res = subprocess.run(
[
curl_bin, "-sL",
"-A", _nuforc_live_user_agent(),
"-c", str(cookie_jar),
"-b", str(cookie_jar),
index_url,
],
capture_output=True, text=True, timeout=60,
encoding="utf-8", errors="replace",
)
except (subprocess.SubprocessError, OSError) as e:
logger.warning("NUFORC live: index fetch failed for %s: %s", yyyymm, e)
return []
if index_res.returncode != 0 or not index_res.stdout:
logger.warning(
"NUFORC live: index fetch exit=%s for %s", index_res.returncode, yyyymm,
)
return []
nonce_match = _NUFORC_LIVE_NONCE_RE.search(index_res.stdout)
if not nonce_match:
logger.warning("NUFORC live: wdtNonce not found on index page for %s", yyyymm)
return []
nonce = nonce_match.group(1)
# Step 2: POST to admin-ajax.php with length=-1 to pull the whole month.
post_data = (
"draw=1"
"&columns%5B0%5D%5Bdata%5D=0&columns%5B0%5D%5Bsearchable%5D=true&columns%5B0%5D%5Borderable%5D=false"
"&columns%5B1%5D%5Bdata%5D=1&columns%5B1%5D%5Bsearchable%5D=true&columns%5B1%5D%5Borderable%5D=true"
"&order%5B0%5D%5Bcolumn%5D=1&order%5B0%5D%5Bdir%5D=desc"
"&start=0&length=-1"
"&search%5Bvalue%5D=&search%5Bregex%5D=false"
f"&wdtNonce={nonce}"
)
try:
ajax_res = subprocess.run(
[
curl_bin, "-sL",
"-A", _nuforc_live_user_agent(),
"-c", str(cookie_jar),
"-b", str(cookie_jar),
"-X", "POST",
"-H", f"Referer: {index_url}",
"-H", "X-Requested-With: XMLHttpRequest",
"-H", "Content-Type: application/x-www-form-urlencoded",
"--data", post_data,
ajax_url,
],
capture_output=True, text=True, timeout=120,
encoding="utf-8", errors="replace",
)
except (subprocess.SubprocessError, OSError) as e:
logger.warning("NUFORC live: ajax fetch failed for %s: %s", yyyymm, e)
return []
if ajax_res.returncode != 0 or not ajax_res.stdout:
logger.warning(
"NUFORC live: ajax fetch exit=%s for %s", ajax_res.returncode, yyyymm,
)
return []
try:
payload = json.loads(ajax_res.stdout)
except json.JSONDecodeError as e:
logger.warning("NUFORC live: ajax JSON decode failed for %s: %s", yyyymm, e)
return []
return _parse_nuforc_live_datatables_rows(payload.get("data") or [])
def _nuforc_fetch_month_live(yyyymm: str, cookie_jar: Path) -> list[dict]:
"""Pull one month of NUFORC sightings via live wpDataTables AJAX."""
if external_curl_fallback_enabled():
rows = _nuforc_fetch_month_live_curl(yyyymm, cookie_jar)
if rows:
return rows
return _nuforc_fetch_month_live_requests(yyyymm)
def _build_recent_uap_sightings() -> list[dict]:
"""Build the rolling UAP sightings layer from live NUFORC data.
"""Build the rolling 1-year UAP sightings layer from live NUFORC data.
Hits nuforc.org's public sub-index once per month in the window, drops
anything outside the exact day-precision cutoff, dedupes by sighting id,
geocodes city+state via the existing location cache, and returns rows
keyed to the same schema the frontend already renders.
"""
cutoff_str = _uap_cutoff_date_str()
cutoff_dt = datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)
cutoff_str = cutoff_dt.strftime("%Y-%m-%d")
months = _nuforc_months_for_window(_NUFORC_RECENT_DAYS)
try:
@@ -1505,21 +1374,10 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
This is a resilience fallback for local/Windows runs where nuforc.org is
Cloudflare-gated and the Mapbox token is not configured. It is not as fresh
as the live NUFORC AJAX feed, but it keeps the layer visible and cached.
Date-cutoff guard: the kcimc/NUFORC HF dataset is a static snapshot whose
maintainer refreshes it sporadically. Without a cutoff, sorting by
occurred-desc and taking the top N rows returns whatever the mirror's
newest rows happen to be which can be years old if the snapshot is
stale. We apply the same ``_NUFORC_RECENT_DAYS`` window the live path
uses (60 days). If the HF mirror has nothing inside the window we return
``[]`` rather than silently serving 3-year-old "newest" rows.
"""
from services.fetchers.nuforc_enrichment import _HF_CSV_URL, _parse_date
from services.geocode_validate import coord_in_country
cutoff_dt = datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)
cutoff_str = cutoff_dt.strftime("%Y-%m-%d")
try:
response = fetch_with_curl(_HF_CSV_URL, timeout=180, follow_redirects=True)
if not response or response.status_code != 200:
@@ -1533,7 +1391,6 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
return []
candidates: list[dict] = []
stale_rows_dropped = 0
try:
reader = csv.DictReader(io.StringIO(response.text))
for row in reader:
@@ -1544,9 +1401,6 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
)
if not occurred:
continue
if occurred < cutoff_str:
stale_rows_dropped += 1
continue
raw_location = _normalize_uap_location(
row.get("Location", "")
or row.get("City", "")
@@ -1581,19 +1435,6 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
logger.warning("UAP sightings: HF fallback parse failed: %s", e)
return []
if not candidates:
# HF mirror returned rows, but none inside the rolling window. This is
# the smoking gun for "the public HF dataset hasn't been refreshed in
# years" — log loudly so the operator sees it instead of guessing.
logger.error(
"UAP sightings: HF fallback yielded 0 rows within last %d days "
"(dropped %d stale rows). HF mirror is likely stale; the layer "
"will be empty until the live NUFORC path recovers.",
_NUFORC_RECENT_DAYS,
stale_rows_dropped,
)
return []
candidates.sort(key=lambda row: (row["occurred"], row["posted"], row["id"]), reverse=True)
candidates = candidates[:_NUFORC_HF_FALLBACK_LIMIT]
@@ -1652,12 +1493,11 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
@with_retry(max_retries=1, base_delay=5)
def fetch_uap_sightings(*, force_refresh: bool = False):
"""Fetch rolling-window UAP sightings from live NUFORC.
"""Fetch last-year UAP sightings from NUFORC.
Startup reads the cached snapshot when still within NUFORC_CACHE_TTL_HOURS
(default 168h / one week). The weekly scheduler forces a rebuild so every
install refreshes the same ~60-day layer without daily load on nuforc.org.
Operators can also POST /api/refresh (admin) to pull immediately.
Startup reads the cached daily snapshot when it is still fresh. The daily
scheduler forces a rebuild so this layer updates once per day instead of
churning continuously.
"""
from services.fetchers._store import is_any_active
@@ -1666,32 +1506,13 @@ def fetch_uap_sightings(*, force_refresh: bool = False):
sightings = _load_nuforc_sightings_cache(force_refresh=force_refresh)
if sightings is None:
live_error: Exception | None = None
try:
sightings = _build_recent_uap_sightings()
except Exception as e:
live_error = e
logger.warning("UAP sightings: live NUFORC rebuild failed, using fallback: %s", e)
sightings = _build_uap_sightings_from_hf_mirror()
if sightings:
_save_nuforc_sightings_cache(sightings)
elif live_error is not None:
# Both paths failed: live raised AND HF fallback returned empty
# (either the HF mirror is stale beyond the cutoff or the network
# is gone entirely). The previous code silently set the layer to
# ``[]`` and kept marking it fresh; that masked the failure for
# days. Surface it via assert_canary so the health registry shows
# the layer as broken instead of "fresh and empty".
from services.slo import assert_canary
assert_canary("uap_sightings", 0)
logger.error(
"UAP sightings: both live NUFORC and HF fallback produced 0 "
"rows; layer is unavailable. Live error: %s",
live_error,
)
if sightings:
sightings = _filter_uap_sightings_recent(sightings)
with _data_lock:
latest_data["uap_sightings"] = sightings or []
@@ -1699,7 +1520,6 @@ def fetch_uap_sightings(*, force_refresh: bool = False):
_mark_fresh("uap_sightings")
return
# Unreachable legacy Mapbox tilequery path (kept for reference).
cutoff = datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)
# Query the grid concurrently (up to 8 threads)
@@ -1,148 +0,0 @@
"""Per-aircraft observation tracking for cumulative fuel/CO2 estimates.
Background
----------
The pre-existing emissions enrichment attached a *rate* to each flight
(GPH and kg/hr) based on aircraft model. Users reasonably wanted the
running total: how much fuel HAS this plane burned since we started
seeing it? Multiplying the rate by elapsed observation time gets us
there, but it requires somewhere to remember "when did this icao24
first appear on our radar?"
Why this lives outside ``flight_trails``
----------------------------------------
``flight_trails`` is sized and pruned aggressively for map rendering
(5-minute TTL for untracked aircraft, 200 trail points max). That's
wrong for cumulative burn: if a plane has been airborne 2 hours but
its trail was pruned 30 min in, the "first trail point" timestamp is
30 min ago, not 2h ago. Worse, when the trail expires and re-creates,
the cumulative counter would reset mid-flight.
This module tracks observation lifecycle separately:
* When a hex is first observed: start a new flight session.
* While observed regularly (gap < ``REOPEN_GAP_S``): keep accumulating.
* When unseen for longer than ``REOPEN_GAP_S``: treat next sighting as
a new session (the plane landed and took off again, or it's a
different leg). Reset ``first_seen_at``.
* Stale sessions are pruned every ``PRUNE_INTERVAL_S`` so memory stays
bounded.
The user explicitly asked for this counting semantic: "as soon as a
plane appears there should be a counter that keeps a running count of
the fuel being burned... If there is no estimate take off time then it
can just be from the time the server starts to keep a log of whats in
the air."
"""
from __future__ import annotations
import threading
import time
# Gap between sightings that resets the session. ADS-B refreshes the
# whole aircraft list every minute or two, so anything over a few
# minutes means the plane left our coverage window (landed, transit
# through dead zone, etc). 15 minutes is conservative.
REOPEN_GAP_S = 15 * 60
# Don't accumulate runaway memory: drop entries unseen for an hour.
PRUNE_AFTER_S = 60 * 60
# Cap on accumulated airtime per session so a single bug elsewhere
# (e.g. ts clock skew) can't produce comically large numbers.
MAX_SESSION_SECONDS = 24 * 3600 # 24h — longest realistic civilian leg
_observations: dict[str, dict[str, float]] = {}
_lock = threading.Lock()
_last_prune_at = 0.0
def record_observation(icao_hex: str, *, now: float | None = None) -> int:
"""Record a sighting of ``icao_hex`` and return airtime so far (seconds).
Returns 0 for the first-ever sighting (no elapsed time yet) or when
``icao_hex`` is falsy. The caller can multiply the returned seconds
by ``rate_per_hour / 3600`` to get cumulative consumption.
"""
if not icao_hex:
return 0
key = str(icao_hex).strip().lower()
if not key:
return 0
current = float(now if now is not None else time.time())
with _lock:
entry = _observations.get(key)
if entry is None:
_observations[key] = {"first_seen_at": current, "last_seen_at": current}
return 0
# Use explicit ``is None`` checks instead of ``or`` short-circuit:
# ``0.0`` is a legitimate timestamp value (e.g. test fixtures
# seeding a far-past first_seen_at to exercise the clamp) but
# ``0.0 or fallback`` collapses to ``fallback`` because 0.0 is
# falsy. Bit me on my own test — leaving the safer form here.
last_raw = entry.get("last_seen_at")
last_seen = float(last_raw) if last_raw is not None else current
gap = current - last_seen
if gap > REOPEN_GAP_S:
# Treat as a new flight session — the plane landed/disappeared
# long enough that the prior cumulative count is no longer
# the same flight.
_observations[key] = {"first_seen_at": current, "last_seen_at": current}
return 0
first_raw = entry.get("first_seen_at")
first = float(first_raw) if first_raw is not None else current
# Clamp absurd values from clock skew or bad input.
elapsed = max(0, min(int(current - first), MAX_SESSION_SECONDS))
entry["last_seen_at"] = current
return elapsed
def prune(*, now: float | None = None) -> int:
"""Drop entries we haven't seen in ``PRUNE_AFTER_S`` seconds.
Returns number of entries dropped. Safe to call from a scheduler tick;
cheap (single dict scan) so cadence doesn't matter much.
"""
current = float(now if now is not None else time.time())
dropped = 0
with _lock:
stale_keys = []
for k, v in _observations.items():
last_raw = v.get("last_seen_at")
last = float(last_raw) if last_raw is not None else 0.0
if current - last > PRUNE_AFTER_S:
stale_keys.append(k)
for k in stale_keys:
del _observations[k]
dropped += 1
return dropped
def get_session_seconds(icao_hex: str, *, now: float | None = None) -> int:
"""Read-only accessor: airtime for a known icao without bumping last-seen.
Used by tests and external consumers (e.g. when rendering a snapshot
of all in-flight aircraft, you want the current value, not to update
last_seen_at as a side effect).
"""
if not icao_hex:
return 0
key = str(icao_hex).strip().lower()
with _lock:
entry = _observations.get(key)
if entry is None:
return 0
current = float(now if now is not None else time.time())
first_raw = entry.get("first_seen_at")
first = float(first_raw) if first_raw is not None else current
return max(0, min(int(current - first), MAX_SESSION_SECONDS))
def _reset_for_tests() -> None:
"""Drop all observations. Test helper only."""
with _lock:
_observations.clear()
+50 -123
View File
@@ -17,7 +17,6 @@ from services.network_utils import fetch_with_curl
from services.fetchers._store import latest_data, _data_lock, _mark_fresh
from services.fetchers.plane_alert import enrich_with_plane_alert, enrich_with_tracked_names
from services.fetchers.emissions import get_emissions_info
from services.fetchers.flight_observations import record_observation as _record_flight_observation
from services.fetchers.retry import with_retry
from services.fetchers.route_database import lookup_route
from services.fetchers.aircraft_database import lookup_aircraft_type
@@ -30,88 +29,6 @@ _RE_AIRLINE_CODE_1 = re.compile(r"^([A-Z]{3})\d")
_RE_AIRLINE_CODE_2 = re.compile(r"^([A-Z]{3})[A-Z\d]")
def detect_gps_jamming_zones(
raw_flights: list[dict],
*,
min_aircraft: int | None = None,
min_ratio: float | None = None,
nacp_threshold: int | None = None,
) -> list[dict]:
"""Detect GPS interference zones from a snapshot of raw ADS-B aircraft.
Methodology mirrors GPSJam.org / Flightradar24: bin aircraft into 1°x1°
grid cells, flag cells where the fraction of aircraft reporting degraded
NACp clears a threshold.
Inputs
------
raw_flights:
Iterable of dicts. Each item is expected to carry ``lat``, ``lng``
(or ``lon``), and ``nac_p``. Records missing position OR missing
``nac_p`` entirely (typical for OpenSky-sourced flights) are
skipped absence-of-data isn't evidence of anything.
nac_p == 0 IS counted as degraded. Pre-fix code skipped it on the theory
that "0 = old transponder, never computed accuracy." That's only half
right: modern Mode-S Enhanced Surveillance transponders also fall back
to nac_p=0 when they lose GPS lock entirely which is exactly the
jamming signature we're trying to detect. Filtering 0 out was discarding
the strongest evidence.
Denoising:
1. Require ``min_aircraft`` per grid cell for statistical validity.
2. Subtract 1 from degraded count per cell (GPSJam's technique) so
a single quirky transponder can't flag an entire zone.
3. Require ratio ``adjusted_degraded / total > min_ratio``.
All thresholds default to the module-level constants but can be
overridden for testing.
"""
min_aircraft = GPS_JAMMING_MIN_AIRCRAFT if min_aircraft is None else int(min_aircraft)
min_ratio = GPS_JAMMING_MIN_RATIO if min_ratio is None else float(min_ratio)
nacp_threshold = (
GPS_JAMMING_NACP_THRESHOLD if nacp_threshold is None else int(nacp_threshold)
)
jamming_grid: dict[str, dict[str, int]] = {}
for rf in raw_flights or []:
rlat = rf.get("lat")
rlng = rf.get("lng") if rf.get("lng") is not None else rf.get("lon")
if rlat is None or rlng is None:
continue
nacp = rf.get("nac_p")
if nacp is None:
continue
grid_key = f"{int(rlat)},{int(rlng)}"
cell = jamming_grid.setdefault(grid_key, {"degraded": 0, "total": 0})
cell["total"] += 1
if nacp < nacp_threshold:
cell["degraded"] += 1
jamming_zones: list[dict] = []
for gk, counts in jamming_grid.items():
if counts["total"] < min_aircraft:
continue
adjusted_degraded = max(counts["degraded"] - 1, 0)
if adjusted_degraded == 0:
continue
ratio = adjusted_degraded / counts["total"]
if ratio > min_ratio:
lat_i, lng_i = gk.split(",")
severity = "low" if ratio < 0.5 else "medium" if ratio < 0.75 else "high"
jamming_zones.append(
{
"lat": int(lat_i) + 0.5,
"lng": int(lng_i) + 0.5,
"severity": severity,
"ratio": round(ratio, 2),
"degraded": counts["degraded"],
"total": counts["total"],
}
)
return jamming_zones
# ---------------------------------------------------------------------------
# OpenSky Network API Client (OAuth2)
# ---------------------------------------------------------------------------
@@ -542,18 +459,6 @@ def _classify_and_publish(all_adsb_flights):
ac_category = "heli" if model_upper in _HELI_TYPES_BACKEND else "plane"
# Source attribution: prefer the explicit ``source`` tag stamped
# at fetch time (adsb.lol, OpenSky). If absent, fall back to the
# legacy ``supplemental_source`` (airplanes.live, adsb.fi) so
# supplementals are still attributed without changing their
# tagger. Final fallback "adsb.lol" preserves prior behavior for
# any caller that synthesizes records without going through one
# of our fetchers (e.g. tests).
source = (
f.get("source")
or f.get("supplemental_source")
or "adsb.lol"
)
flights.append(
{
"callsign": flight_str,
@@ -575,7 +480,6 @@ def _classify_and_publish(all_adsb_flights):
"airline_code": airline_code,
"aircraft_category": ac_category,
"nac_p": f.get("nac_p"),
"source": source,
}
)
except (ValueError, TypeError, KeyError, AttributeError) as loop_e:
@@ -602,22 +506,6 @@ def _classify_and_publish(all_adsb_flights):
if model:
emi = get_emissions_info(model)
if emi:
# Cumulative fuel/CO2: multiply the per-hour rate by how
# long we've been observing this airframe. Users want to
# see the *amount* burned, not just the rate. If we've
# never seen this hex before, observed_seconds is 0 and
# the cumulative values are 0 until the next refresh —
# the rate is still useful info on its own.
observed_seconds = _record_flight_observation(
f.get("icao24") or ""
)
elapsed_h = observed_seconds / 3600.0
emi = {
**emi,
"observed_seconds": observed_seconds,
"fuel_gallons_burned": round(emi["fuel_gph"] * elapsed_h, 1),
"co2_kg_emitted": round(emi["co2_kg_per_hour"] * elapsed_h, 1),
}
f["emissions"] = emi
callsign = f.get("callsign", "").strip().upper()
@@ -836,8 +724,56 @@ def _classify_and_publish(all_adsb_flights):
latest_data["military_flights"] = military_snapshot
# --- GPS Jamming Detection ---
# Uses NACp (Navigation Accuracy Category Position) from ADS-B to infer
# GPS interference zones, similar to GPSJam.org / Flightradar24.
# NACp < 8 = position accuracy worse than the FAA-mandated 0.05 NM.
#
# Denoising (to suppress false positives from old GA transponders):
# 1. Skip nac_p == 0 ("unknown accuracy") — old transponders that never
# computed accuracy, NOT evidence of jamming. Real jamming shows 1-7.
# 2. Require minimum aircraft per grid cell for statistical validity.
# 3. Subtract 1 from degraded count per cell (GPSJam's technique) so a
# single quirky transponder can't flag an entire zone.
# 4. Require the adjusted ratio to exceed the threshold.
try:
jamming_zones = detect_gps_jamming_zones(raw_flights_snapshot)
jamming_grid = {}
raw_flights = raw_flights_snapshot
for rf in raw_flights:
rlat = rf.get("lat")
rlng = rf.get("lng") or rf.get("lon")
if rlat is None or rlng is None:
continue
nacp = rf.get("nac_p")
if nacp is None or nacp == 0:
continue
grid_key = f"{int(rlat)},{int(rlng)}"
if grid_key not in jamming_grid:
jamming_grid[grid_key] = {"degraded": 0, "total": 0}
jamming_grid[grid_key]["total"] += 1
if nacp < GPS_JAMMING_NACP_THRESHOLD:
jamming_grid[grid_key]["degraded"] += 1
jamming_zones = []
for gk, counts in jamming_grid.items():
if counts["total"] < GPS_JAMMING_MIN_AIRCRAFT:
continue
adjusted_degraded = max(counts["degraded"] - 1, 0)
if adjusted_degraded == 0:
continue
ratio = adjusted_degraded / counts["total"]
if ratio > GPS_JAMMING_MIN_RATIO:
lat_i, lng_i = gk.split(",")
severity = "low" if ratio < 0.5 else "medium" if ratio < 0.75 else "high"
jamming_zones.append(
{
"lat": int(lat_i) + 0.5,
"lng": int(lng_i) + 0.5,
"severity": severity,
"ratio": round(ratio, 2),
"degraded": counts["degraded"],
"total": counts["total"],
}
)
with _data_lock:
latest_data["gps_jamming"] = jamming_zones
if jamming_zones:
@@ -913,15 +849,7 @@ def _fetch_adsb_lol_regions():
res = fetch_with_curl(url, timeout=10)
if res.status_code == 200:
data = res.json()
aircraft = data.get("ac", [])
# Stamp the source at the fetch site so attribution survives
# the OpenSky/supplemental dedupe-by-hex merge downstream.
# Previously adsb.lol records carried no marker while OpenSky
# records got ``is_opensky: True`` — which made flight tooltips
# look like everything came from OpenSky.
for a in aircraft:
a["source"] = "adsb.lol"
return aircraft
return data.get("ac", [])
except (
requests.RequestException,
ConnectionError,
@@ -1004,7 +932,6 @@ def _enrich_with_opensky_and_supplemental(adsb_flights):
"gs": (s[9] * 1.94384) if s[9] else 0,
"t": "Unknown",
"is_opensky": True,
"source": "OpenSky",
}
)
elif os_res.status_code == 429:
+17 -47
View File
@@ -20,9 +20,17 @@ def _env_flag(name: str) -> str:
def liveuamap_scraper_enabled() -> bool:
from services.liveuamap_settings import liveuamap_scraper_enabled as _enabled
"""Return whether the Playwright-based LiveUAMap scraper should run.
return _enabled()
It is useful enrichment, but it starts a browser/Node driver and must not be
allowed to destabilize Windows local startup.
"""
setting = _env_flag("SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER")
if setting in {"1", "true", "yes", "on"}:
return True
if setting in {"0", "false", "no", "off"}:
return False
return os.name != "nt"
# ---------------------------------------------------------------------------
@@ -202,17 +210,10 @@ def update_liveuamap():
if not is_any_active("global_incidents"):
return
if not liveuamap_scraper_enabled():
from services.liveuamap_settings import liveuamap_requires_ui_opt_in
if liveuamap_requires_ui_opt_in():
logger.info(
"Liveuamap scraper disabled: enable Global Incidents in the UI to "
"consent, or set SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=1."
)
else:
logger.info(
"Liveuamap scraper disabled; set SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=1 to opt in."
)
logger.info(
"Liveuamap scraper disabled for this runtime; set "
"SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=1 to opt in."
)
return
logger.info("Running scheduled Liveuamap scraper...")
try:
@@ -278,16 +279,6 @@ _FISHING_FETCH_INTERVAL_S = 3600 # once per hour — GFW data has ~5 day lag
_last_fishing_fetch_ts: float = 0.0
def _gfw_int_env(name: str, default: int, *, minimum: int = 1, maximum: int | None = None) -> int:
try:
value = int(os.environ.get(name, str(default)) or default)
except (TypeError, ValueError):
value = default
if maximum is not None:
value = min(maximum, value)
return max(minimum, value)
@with_retry(max_retries=1, base_delay=5)
def fetch_fishing_activity():
"""Fetch recent fishing events from Global Fishing Watch (~5 day lag)."""
@@ -310,16 +301,10 @@ def fetch_fishing_activity():
try:
import datetime as _dt
# GFW publishes with ~5 day lag; windows shorter than ~7 days often return 0 events.
lookback_days = _gfw_int_env("GFW_EVENTS_LOOKBACK_DAYS", 7, minimum=1, maximum=14)
max_pages = _gfw_int_env("GFW_EVENTS_MAX_PAGES", 10, minimum=1, maximum=100)
timeout_s = _gfw_int_env("GFW_EVENTS_TIMEOUT_S", 90, minimum=30, maximum=180)
_end = _dt.date.today().isoformat()
_start = (_dt.date.today() - _dt.timedelta(days=lookback_days)).isoformat()
page_size = _gfw_int_env("GFW_EVENTS_PAGE_SIZE", 500, minimum=1, maximum=1000)
_start = (_dt.date.today() - _dt.timedelta(days=7)).isoformat()
page_size = max(1, int(os.environ.get("GFW_EVENTS_PAGE_SIZE", "500") or "500"))
offset = 0
pages_fetched = 0
total_available: int | None = None
seen_offsets: set[int] = set()
seen_ids: set[str] = set()
headers = {"Authorization": f"Bearer {token}"}
@@ -340,7 +325,7 @@ def fetch_fishing_activity():
}
)
url = f"https://gateway.api.globalfishingwatch.org/v3/events?{query}"
response = fetch_with_curl(url, timeout=timeout_s, headers=headers)
response = fetch_with_curl(url, timeout=30, headers=headers)
if response.status_code != 200:
logger.warning(
"Fishing activity fetch failed at offset=%s: HTTP %s",
@@ -350,16 +335,10 @@ def fetch_fishing_activity():
break
payload = response.json() or {}
if total_available is None:
try:
total_available = int(payload.get("total")) if payload.get("total") is not None else None
except (TypeError, ValueError):
total_available = None
entries = payload.get("entries", [])
if not entries:
break
pages_fetched += 1
added_this_page = 0
for e in entries:
pos = e.get("position", {})
@@ -394,15 +373,6 @@ def fetch_fishing_activity():
if len(entries) < page_size:
break
if pages_fetched >= max_pages:
logger.info(
"Fishing activity: capped at %s pages (%s events fetched; GFW total=%s)",
max_pages,
len(events),
total_available if total_available is not None else "unknown",
)
break
next_offset = payload.get("nextOffset")
if next_offset is None:
next_offset = (payload.get("pagination") or {}).get("nextOffset")
+6 -6
View File
@@ -6,7 +6,7 @@ import heapq
import logging
from pathlib import Path
from cachetools import TTLCache
from services.network_utils import fetch_with_curl, outbound_user_agent
from services.network_utils import fetch_with_curl
from services.fetchers._store import latest_data, _data_lock, _mark_fresh
from services.fetchers.retry import with_retry
@@ -29,7 +29,7 @@ def _geocode_region(region_name: str, country_name: str) -> tuple:
query = urllib.parse.quote(f"{region_name}, {country_name}")
url = f"https://nominatim.openstreetmap.org/search?q={query}&format=json&limit=1"
response = fetch_with_curl(url, timeout=8, headers={"User-Agent": outbound_user_agent("infrastructure-data")})
response = fetch_with_curl(url, timeout=8, headers={"User-Agent": "ShadowBroker-OSINT/1.0"})
if response.status_code == 200:
results = response.json()
if results:
@@ -235,11 +235,11 @@ _DC_GEOCODED_PATH = Path(__file__).parent.parent.parent / "data" / "datacenters_
def fetch_datacenters():
"""Load geocoded data centers (5K+ street-level precise locations).
"""Load geocoded data centers (5K+ street-level precise locations)."""
from services.fetchers._store import is_any_active
Always loads from disk; /api/live-data/slow gates the payload on the
datacenters layer toggle so enabling the layer can render immediately.
"""
if not is_any_active("datacenters"):
return
dcs = []
try:
if not _DC_GEOCODED_PATH.exists():
-107
View File
@@ -1,107 +0,0 @@
"""Malware C2 / URLhaus feed (abuse.ch, Osiris port)."""
from __future__ import annotations
import logging
from datetime import datetime, timezone
from typing import Any
from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
from services.network_utils import fetch_with_curl
logger = logging.getLogger(__name__)
COUNTRY_CENTROIDS: dict[str, tuple[float, float]] = {
"AF": (65, 33), "AL": (20, 41), "DZ": (3, 28), "AR": (-64, -34), "AU": (134, -25),
"AT": (14, 47.5), "BE": (4, 50.8), "BR": (-51, -10), "CA": (-96, 62), "CN": (105, 35),
"DE": (10, 51), "FR": (2, 46), "GB": (-2, 54), "IN": (79, 22), "IR": (53, 32),
"IT": (12.5, 42.8), "JP": (138, 36), "KR": (128, 36), "MX": (-102, 23.5), "NL": (5.5, 52.5),
"PL": (19.5, 52), "RU": (100, 60), "SG": (103.8, 1.35), "TW": (121, 23.7), "UA": (32, 49),
"US": (-97, 38), "VN": (106, 16),
}
def fetch_malware_threats() -> list[dict[str, Any]]:
if not is_any_active("malware_c2"):
return latest_data.get("malware_threats") or []
threats: list[dict[str, Any]] = []
threat_id = 0
try:
resp = fetch_with_curl(
"https://feodotracker.abuse.ch/downloads/ipblocklist.json",
timeout=10,
headers={"User-Agent": "Shadowbroker/1.0", "Accept": "application/json"},
)
if resp.status_code == 200:
entries = resp.json()
if not isinstance(entries, list):
entries = []
for entry in entries[:200]:
cc = entry.get("country")
if not cc or cc not in COUNTRY_CENTROIDS:
continue
lng, lat = COUNTRY_CENTROIDS[cc]
j_lng = ((threat_id * 173.7) % 200 - 100) / 100 * 4
j_lat = ((threat_id * 293.1) % 200 - 100) / 100 * 4
threats.append(
{
"id": f"feodo-{threat_id}",
"lat": lat + j_lat,
"lng": lng + j_lng,
"ip": entry.get("ip_address") or "unknown",
"port": entry.get("dst_port") or 0,
"malware": entry.get("malware") or "unknown",
"status": entry.get("status") or "active",
"first_seen": entry.get("first_seen"),
"last_online": entry.get("last_online"),
"country": cc,
"threat_type": "botnet_c2",
}
)
threat_id += 1
except Exception as exc:
logger.warning("Feodo fetch failed: %s", exc)
try:
resp = fetch_with_curl(
"https://urlhaus-api.abuse.ch/v1/urls/recent/limit/100/",
timeout=8,
)
if resp.status_code == 200:
urls = (resp.json() or {}).get("urls") or []
for u in urls:
cc = u.get("country")
if not cc or cc not in COUNTRY_CENTROIDS:
cc = next(iter(COUNTRY_CENTROIDS))
lng, lat = COUNTRY_CENTROIDS[cc]
j_lng = ((threat_id * 137.3) % 200 - 100) / 100 * 5
j_lat = ((threat_id * 211.7) % 200 - 100) / 100 * 5
threats.append(
{
"id": f"urlhaus-{threat_id}",
"lat": lat + j_lat,
"lng": lng + j_lng,
"ip": u.get("host") or "unknown",
"port": 0,
"malware": ", ".join(u.get("tags") or []) or u.get("threat") or "malware",
"status": u.get("url_status") or "online",
"first_seen": u.get("dateadded"),
"country": cc,
"threat_type": "malware_url",
}
)
threat_id += 1
except Exception as exc:
logger.debug("URLhaus supplement failed: %s", exc)
payload = {
"threats": threats,
"total": len(threats),
"timestamp": datetime.now(timezone.utc).isoformat(),
"source": "abuse.ch Feodo Tracker + URLhaus",
}
with _data_lock:
latest_data["malware_threats"] = payload
_mark_fresh("malware_threats")
return threats
+4 -9
View File
@@ -188,16 +188,11 @@ def fetch_meshtastic_nodes():
callsign = ""
send_callsign_header = str(
_os.environ.get("MESHTASTIC_SEND_CALLSIGN_HEADER", "false")
).strip().lower() in {"1", "true", "yes", "on"}
_os.environ.get("MESHTASTIC_SEND_CALLSIGN_HEADER", "true")
).strip().lower() not in {"0", "false", "no", "off", ""}
# Round 7a: outbound_user_agent already includes the per-install handle.
# The optional Meshtastic callsign is appended as additional context so
# meshtastic.liamcottle.net's operator can identify both the install AND
# the registered radio operator (when MESHTASTIC_OPERATOR_CALLSIGN is set
# and MESHTASTIC_SEND_CALLSIGN_HEADER is true; see issue #203).
from services.network_utils import outbound_user_agent
ua_base = f"{outbound_user_agent('meshtastic-map')}; 24h polling"
from services.network_utils import DEFAULT_USER_AGENT
ua_base = f"{DEFAULT_USER_AGENT}; 24h polling"
if callsign and send_callsign_header:
user_agent = f"{ua_base}; node={callsign}"
else:
+1 -18
View File
@@ -7,7 +7,6 @@ import requests
from services.network_utils import fetch_with_curl
from services.fetchers._store import latest_data, _data_lock, _mark_fresh
from services.fetchers.emissions import get_emissions_info
from services.fetchers.flight_observations import record_observation as _record_flight_observation
from services.fetchers.plane_alert import enrich_with_plane_alert
logger = logging.getLogger("services.data_fetcher")
@@ -172,7 +171,6 @@ def fetch_military_flights():
h = a.get("hex", "").lower()
if h and h not in seen_hex:
seen_hex.add(h)
a["source"] = "adsb.lol"
all_mil_ac.append(a)
except Exception as e:
logger.warning(f"adsb.lol mil fetch failed: {e}")
@@ -184,7 +182,6 @@ def fetch_military_flights():
h = a.get("hex", "").lower()
if h and h not in seen_hex:
seen_hex.add(h)
a["source"] = "airplanes.live"
all_mil_ac.append(a)
logger.info(f"airplanes.live mil: +{len(resp2.json().get('ac', []))} raw, {len(all_mil_ac)} total unique")
except Exception as e:
@@ -237,7 +234,6 @@ def fetch_military_flights():
"registration": f.get("r", "N/A"),
"icao24": icao_hex,
"squawk": f.get("squawk", ""),
"source": f.get("source") or "adsb.lol",
})
continue
@@ -262,8 +258,7 @@ def fetch_military_flights():
"model": f.get("t", "Unknown"),
"icao24": icao_hex,
"speed_knots": speed_knots,
"squawk": f.get("squawk", ""),
"source": f.get("source") or "adsb.lol",
"squawk": f.get("squawk", "")
})
except Exception as loop_e:
logger.error(f"Mil flight interpolation error: {loop_e}")
@@ -301,18 +296,6 @@ def fetch_military_flights():
if model:
emissions = get_emissions_info(model)
if emissions:
# Cumulative fuel/CO2 since first observation — mirrors
# the civilian path in flights._classify_and_publish.
observed_seconds = _record_flight_observation(
mf.get("icao24") or ""
)
elapsed_h = observed_seconds / 3600.0
emissions = {
**emissions,
"observed_seconds": observed_seconds,
"fuel_gallons_burned": round(emissions["fuel_gph"] * elapsed_h, 1),
"co2_kg_emitted": round(emissions["co2_kg_per_hour"] * elapsed_h, 1),
}
mf["emissions"] = emissions
if mf.get("alert_category"):
mf["type"] = "tracked_flight"
+9 -14
View File
@@ -158,26 +158,21 @@ _KEYWORD_COORDS = {
_SORTED_KEYWORDS = sorted(_KEYWORD_COORDS.items(), key=lambda x: len(x[0]), reverse=True)
def resolve_coords_match(text: str) -> tuple[tuple[float, float], str] | None:
"""Return ((lat, lng), matched_keyword) for the most specific keyword hit."""
padded_text = f" {text} "
for kw, coords in _SORTED_KEYWORDS:
if kw.startswith(" ") or kw.endswith(" "):
if kw in padded_text:
return coords, kw
elif re.search(r"\b" + re.escape(kw) + r"\b", text):
return coords, kw
return None
def _resolve_coords(text: str) -> tuple[float, float] | None:
"""Return (lat, lng) for the most specific keyword match, or None.
Longer keywords are tried first. Space-padded keywords (" us ", " uk ")
use substring matching on padded text; all others use word-boundary regex.
"""
match = resolve_coords_match(text)
return match[0] if match else None
padded_text = f" {text} "
for kw, coords in _SORTED_KEYWORDS:
if kw.startswith(" ") or kw.endswith(" "):
if kw in padded_text:
return coords
else:
if re.search(r'\b' + re.escape(kw) + r'\b', text):
return coords
return None
@with_retry(max_retries=1, base_delay=2)
@@ -9,7 +9,6 @@ import json
import logging
import math
import os
import random
import threading
import time
from urllib.parse import urlencode
@@ -22,34 +21,23 @@ _prev_probabilities: dict[str, float] = {}
_market_cache = TTLCache(maxsize=1, ttl=300)
_POLYMARKET_PAGE_DELAY_S = float(os.environ.get("MESH_POLYMARKET_PAGE_DELAY_S", "0.02"))
_KALSHI_PAGE_DELAY_S = float(os.environ.get("MESH_KALSHI_PAGE_DELAY_S", "0.08"))
_POLYMARKET_PAGE_DELAY_JITTER_S = float(os.environ.get("MESH_POLYMARKET_PAGE_DELAY_JITTER_S", "0.08"))
_KALSHI_PAGE_DELAY_JITTER_S = float(os.environ.get("MESH_KALSHI_PAGE_DELAY_JITTER_S", "0.2"))
# Random delay before each full Polymarket+Kalshi cycle (decorrelates from other slow-tier jobs).
_PRE_FETCH_JITTER_S = float(os.environ.get("PREDICTION_MARKETS_PRE_FETCH_JITTER_S", "90"))
# Random pause between finishing Polymarket pagination and starting Kalshi.
_PROVIDER_GAP_JITTER_S = float(os.environ.get("PREDICTION_MARKETS_PROVIDER_GAP_JITTER_S", "45"))
_provider_pace_lock = threading.Lock()
_provider_last_request_at: dict[str, float] = {}
def prediction_markets_fetch_enabled() -> bool:
"""Return True when UI opt-in or PREDICTION_MARKETS_ENABLED enables pulls."""
from services.prediction_markets_settings import prediction_markets_fetch_enabled as _enabled
return _enabled()
"""Return True only when the operator explicitly opts into Polymarket/Kalshi pulls."""
return str(os.environ.get("PREDICTION_MARKETS_ENABLED", "")).strip().lower() in {
"1",
"true",
"yes",
"on",
}
def _pace_provider(provider: str, min_interval_s: float) -> None:
if min_interval_s <= 0:
return
jitter_s = (
_POLYMARKET_PAGE_DELAY_JITTER_S
if provider == "polymarket"
else _KALSHI_PAGE_DELAY_JITTER_S
if provider == "kalshi"
else 0.0
)
min_interval_s += random.uniform(0.0, jitter_s) if jitter_s > 0 else 0.0
with _provider_pace_lock:
now = time.monotonic()
wait_s = min_interval_s - (now - _provider_last_request_at.get(provider, 0.0))
@@ -59,24 +47,6 @@ def _pace_provider(provider: str, min_interval_s: float) -> None:
_provider_last_request_at[provider] = now
def _apply_pre_fetch_jitter() -> None:
if _PRE_FETCH_JITTER_S <= 0:
return
delay = random.uniform(0.0, _PRE_FETCH_JITTER_S)
if delay >= 1.0:
logger.debug("Prediction markets: pre-fetch jitter %.1fs", delay)
time.sleep(delay)
def _apply_provider_gap_jitter() -> None:
if _PROVIDER_GAP_JITTER_S <= 0:
return
delay = random.uniform(0.0, _PROVIDER_GAP_JITTER_S)
if delay >= 1.0:
logger.debug("Prediction markets: provider gap jitter %.1fs", delay)
time.sleep(delay)
def _finite_or_none(value):
try:
n = float(value)
@@ -780,9 +750,7 @@ def _merge_markets(poly_events: list[dict], kalshi_events: list[dict]) -> list[d
@cached(_market_cache)
def fetch_prediction_markets_raw() -> list[dict]:
"""Fetch and merge prediction markets from both sources. Cached 5 min."""
_apply_pre_fetch_jitter()
poly = _fetch_polymarket_events()
_apply_provider_gap_jitter()
kalshi = _fetch_kalshi_events()
merged = _merge_markets(poly, kalshi)
logger.info(
+2 -9
View File
@@ -11,20 +11,15 @@ import random
import logging
import functools
import requests
from requests.exceptions import ChunkedEncodingError, ConnectionError as RequestsConnectionError
from requests.exceptions import Timeout as RequestsTimeout
logger = logging.getLogger(__name__)
# Only retry on transient network/OS errors — not parse/key errors or HTTP 4xx/5xx.
# requests.HTTPError (from raise_for_status) is intentionally excluded.
# Only retry on transient network/OS errors — not on parse errors, key errors, etc.
TRANSIENT_ERRORS = (
TimeoutError,
ConnectionError,
OSError,
RequestsConnectionError,
RequestsTimeout,
ChunkedEncodingError,
requests.RequestException,
)
@@ -48,8 +43,6 @@ def with_retry(max_retries: int = 3, base_delay: float = 2.0, max_delay: float =
for attempt in range(1 + max_retries):
try:
return func(*args, **kwargs)
except requests.HTTPError:
raise
except TRANSIENT_ERRORS as exc:
last_exc = exc
if attempt < max_retries:
@@ -1,84 +0,0 @@
"""Scheduled Sentinel-2 road corridor freight trend fetcher (opt-in, slow tier)."""
from __future__ import annotations
import logging
import os
from datetime import datetime, timezone
from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
logger = logging.getLogger(__name__)
_REFRESH_HOURS = float(os.environ.get("ROAD_CORRIDOR_REFRESH_HOURS", "24"))
def _hours_since(iso_ts: str) -> float | None:
try:
dt = datetime.fromisoformat(iso_ts.replace("Z", "+00:00"))
if dt.tzinfo is None:
dt = dt.replace(tzinfo=timezone.utc)
return (datetime.now(timezone.utc) - dt).total_seconds() / 3600.0
except ValueError:
return None
def _feature_ready() -> bool:
from services.road_corridor_sat.config import optional_deps_available, road_corridor_sat_enabled
from services.road_corridor_sat.credentials import sentinel_credentials_configured
if not road_corridor_sat_enabled():
return False
if not optional_deps_available():
logger.debug("road_corridor_trends skipped — optional deps not installed")
return False
if not sentinel_credentials_configured():
logger.debug("road_corridor_trends skipped — Sentinel credentials missing")
return False
return True
def refresh_road_corridor_store() -> None:
from services.road_corridor_sat.storage import build_trends_payload
payload = build_trends_payload()
with _data_lock:
latest_data["road_corridor_trends"] = payload
_mark_fresh("road_corridor_trends")
def fetch_road_corridor_trends(force: bool = False) -> None:
"""Refresh scheduled corridor presets (default: laredo_i35 every 24h)."""
if not is_any_active("road_corridor_trends"):
return
if not _feature_ready():
return
from services.road_corridor_sat.config import SCHEDULED_PRESET_IDS
from services.road_corridor_sat.pipeline import analyze_preset
from services.road_corridor_sat.presets import get_preset
from services.road_corridor_sat.storage import load_refresh_state
state = load_refresh_state()
for preset_id in SCHEDULED_PRESET_IDS:
preset = get_preset(preset_id)
if preset is None:
logger.warning("Unknown scheduled road corridor preset: %s", preset_id)
continue
last = state.get(preset_id)
if last and not force:
age_h = _hours_since(last)
if age_h is not None and age_h < _REFRESH_HOURS:
logger.info(
"road_corridor %s fresh (%.1fh < %.1fh) — skipping",
preset_id,
age_h,
_REFRESH_HOURS,
)
continue
try:
logger.info("road_corridor analysis starting for %s", preset_id)
analyze_preset(preset_id)
except Exception as exc:
logger.exception("road_corridor analysis failed for %s: %s", preset_id, exc)
refresh_road_corridor_store()
+3 -7
View File
@@ -17,12 +17,6 @@ from typing import Any
import requests
def _route_db_user_agent() -> str:
from services.network_utils import outbound_user_agent
return outbound_user_agent("route-database")
logger = logging.getLogger(__name__)
_ROUTES_URL = "https://vrs-standing-data.adsb.lol/routes.csv.gz"
@@ -30,6 +24,8 @@ _AIRPORTS_URL = "https://vrs-standing-data.adsb.lol/airports.csv.gz"
_REFRESH_INTERVAL_S = 5 * 24 * 3600
_HTTP_TIMEOUT_S = 60
from services.network_utils import DEFAULT_USER_AGENT as _USER_AGENT
_lock = threading.RLock()
_routes_by_callsign: dict[str, dict[str, Any]] = {}
_airports_by_icao: dict[str, dict[str, Any]] = {}
@@ -41,7 +37,7 @@ def _fetch_csv_gz(url: str) -> list[dict[str, str]]:
response = requests.get(
url,
timeout=_HTTP_TIMEOUT_S,
headers={"User-Agent": _route_db_user_agent(), "Accept-Encoding": "gzip"},
headers={"User-Agent": _USER_AGENT, "Accept-Encoding": "gzip"},
)
response.raise_for_status()
text = gzip.decompress(response.content).decode("utf-8-sig")
-381
View File
@@ -1,381 +0,0 @@
"""Telegram OSINT — public channel web previews (t.me/s) with keyword geoparsing."""
from __future__ import annotations
import hashlib
import logging
import os
import re
from datetime import datetime, timezone
from typing import Any
from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
from services.fetchers.news import resolve_coords_match
from services.network_utils import fetch_with_curl, outbound_user_agent
logger = logging.getLogger(__name__)
_DEFAULT_CHANNELS = (
"osintdefender",
"insiderpaper",
"aljazeeraenglish",
"nexta_live",
"war_monitor",
"OSINTtechnical",
"Liveuamap",
)
_MESSAGE_BLOCK_RE = re.compile(
r'<div class="tgme_widget_message_wrap js-widget_message_wrap"[\s\S]*?</div>\s*</div>\s*</div>',
re.IGNORECASE,
)
_TEXT_RE = re.compile(
r'<div class="tgme_widget_message_text[^>]*>([\s\S]*?)</div>',
re.IGNORECASE,
)
_DATE_RE = re.compile(
r'<a class="tgme_widget_message_date" href="(https://t\.me/[^"]+)".*?<time datetime="([^"]+)"',
re.IGNORECASE,
)
_HAS_VIDEO_RE = re.compile(
r'tgme_widget_message_video|js-message_video|<video\s',
re.IGNORECASE,
)
_HAS_PHOTO_RE = re.compile(r'tgme_widget_message_photo_wrap', re.IGNORECASE)
_VIDEO_SRC_RE = re.compile(r'<video[^>]+src="([^"]+)"', re.IGNORECASE)
_BG_IMAGE_RE = re.compile(r"background-image:url\('([^']+)'\)", re.IGNORECASE)
_TELEGRAM_MEDIA_HOST_SUFFIXES = (".telesco.pe", ".telegram-cdn.org")
# Cyrillic / Arabic aliases for war-reporting channels (merged after English resolver).
_EXTRA_PLACE_KEYWORDS: dict[str, tuple[float, float]] = {
"киев": (50.450, 30.523),
"київ": (50.450, 30.523),
"харьков": (49.993, 36.231),
"харків": (49.993, 36.231),
"одесса": (46.482, 30.724),
"одеса": (46.482, 30.724),
"донецк": (48.015, 37.803),
"донецьк": (48.015, 37.803),
"луганск": (48.574, 39.307),
"луганськ": (48.574, 39.307),
"москва": (55.755, 37.617),
"крым": (45.000, 34.000),
"крим": (45.000, 34.000),
"бахмут": (48.595, 38.000),
"запорожье": (47.838, 35.139),
"запоріжжя": (47.838, 35.139),
"غزة": (31.416, 34.333),
"دمشق": (33.513, 36.276),
"بيروت": (33.893, 35.501),
"tel aviv": (32.085, 34.781),
"תל אביב": (32.085, 34.781),
}
# Country-level news geocodes sit on national centroids that stack with threat alerts.
# Telegram uses major metro anchors so pins land on a different map cell than news.
_TELEGRAM_ANCHOR_OVERRIDES: dict[str, tuple[float, float]] = {
"israel": (32.085, 34.781), # Tel Aviv (news uses central Israel ~Jerusalem corridor)
"middle east": (32.085, 34.781),
"china": (39.904, 116.407), # Beijing (news uses country centroid)
"united states": (40.712, -74.006), # New York (news uses Washington DC)
"usa": (40.712, -74.006),
"us": (40.712, -74.006),
"america": (40.712, -74.006),
"uk": (51.507, -0.127), # London
"iran": (35.689, 51.389), # Tehran
"russia": (55.755, 37.617), # Moscow
"ukraine": (50.450, 30.523), # Kyiv
"france": (48.856, 2.352), # Paris
"germany": (52.520, 13.405), # Berlin
"lebanon": (34.433, 35.844), # Tripoli (news uses Beirut corridor)
}
_RISK_KEYWORDS = (
"war",
"missile",
"strike",
"attack",
"crisis",
"tension",
"military",
"conflict",
"defense",
"clash",
"nuclear",
"invasion",
"bomb",
"drone",
"weapon",
"sanctions",
"ceasefire",
"escalation",
"killed",
"destroyed",
"operation",
"casualty",
"frontline",
"threat",
"explosion",
"shelling",
)
def telegram_osint_enabled() -> bool:
return str(os.environ.get("TELEGRAM_OSINT_ENABLED", "true")).strip().lower() not in {
"0",
"false",
"no",
"off",
"",
}
def _configured_channels() -> list[str]:
raw = str(os.environ.get("TELEGRAM_OSINT_CHANNELS", "")).strip()
if raw:
return [part.strip().lstrip("@") for part in raw.split(",") if part.strip()]
return list(_DEFAULT_CHANNELS)
def telegram_media_host_allowed(hostname: str | None) -> bool:
host = str(hostname or "").strip().lower()
if not host:
return False
return any(host.endswith(suffix) for suffix in _TELEGRAM_MEDIA_HOST_SUFFIXES)
def _extract_media(block: str, link: str) -> dict[str, Any]:
has_video = bool(_HAS_VIDEO_RE.search(block))
has_photo = bool(_HAS_PHOTO_RE.search(block))
media_type: str | None = None
media_url: str | None = None
if has_video:
media_type = "video"
video_match = _VIDEO_SRC_RE.search(block)
if video_match:
media_url = video_match.group(1).strip()
elif has_photo:
media_type = "photo"
photo_match = _BG_IMAGE_RE.search(block)
if photo_match:
media_url = photo_match.group(1).strip()
embed_url: str | None = None
if media_type and link:
embed_url = f"{link}?embed=1"
return {
"media_type": media_type,
"media_url": media_url,
"embed_url": embed_url,
}
def _strip_html(text: str) -> str:
cleaned = re.sub(r"<br\s*/?>", "\n", text, flags=re.IGNORECASE)
cleaned = re.sub(r"<[^>]+>", "", cleaned)
return (
cleaned.replace("&quot;", '"')
.replace("&amp;", "&")
.replace("&lt;", "<")
.replace("&gt;", ">")
.strip()
)
def _score_risk(text: str) -> int:
lower = text.lower()
score = 1
for kw in _RISK_KEYWORDS:
if kw in lower:
score += 2
return min(10, score)
def _refresh_post_coords(post: dict[str, Any]) -> dict[str, Any]:
"""Re-apply geoparsing so stored posts pick up anchor updates."""
text = "\n".join(
str(part).strip()
for part in (post.get("title"), post.get("description"))
if part and str(part).strip()
)
if not text:
return post
coords = _resolve_telegram_coords(text)
if not coords:
return post
updated = dict(post)
updated["coords"] = [coords[0], coords[1]]
return updated
def _resolve_telegram_coords(text: str) -> tuple[float, float] | None:
lower = text.lower()
match = resolve_coords_match(lower)
if match:
_coords, keyword = match
anchor = _TELEGRAM_ANCHOR_OVERRIDES.get(keyword.strip().lower())
if anchor:
return anchor
return _coords
for keyword, coords in sorted(_EXTRA_PLACE_KEYWORDS.items(), key=lambda x: len(x[0]), reverse=True):
if keyword in lower:
return coords
return None
def _post_link(post: dict[str, Any]) -> str:
return str(post.get("link") or "").strip()
def _extract_new_channel_posts(
html: str,
channel: str,
known_links: set[str],
*,
bootstrap_limit: int = 12,
) -> list[dict[str, Any]]:
"""Return unseen posts from a channel page; stop once we hit a stored link."""
parsed = parse_telegram_channel_html(html, channel)
if not parsed:
return []
if not known_links:
return parsed[-bootstrap_limit:]
fresh: list[dict[str, Any]] = []
for post in reversed(parsed):
link = _post_link(post)
if not link:
continue
if link in known_links:
break
fresh.append(post)
fresh.reverse()
return fresh
def _merge_telegram_posts(
existing: list[dict[str, Any]],
incoming: list[dict[str, Any]],
*,
max_posts: int = 120,
) -> tuple[list[dict[str, Any]], int]:
known_links = {_post_link(post) for post in existing if _post_link(post)}
added = 0
for post in incoming:
link = _post_link(post)
if not link or link in known_links:
continue
known_links.add(link)
existing.append(post)
added += 1
existing.sort(key=lambda p: str(p.get("published") or ""), reverse=True)
return existing[:max_posts], added
def parse_telegram_channel_html(html: str, channel: str) -> list[dict[str, Any]]:
"""Parse public t.me/s channel preview HTML into post dicts."""
posts: list[dict[str, Any]] = []
for block in _MESSAGE_BLOCK_RE.findall(html or ""):
text_match = _TEXT_RE.search(block)
if not text_match:
continue
text = _strip_html(text_match.group(1))
if len(text) < 10:
continue
date_match = _DATE_RE.search(block)
link = date_match.group(1) if date_match else f"https://t.me/{channel}"
published = date_match.group(2) if date_match else datetime.now(timezone.utc).isoformat()
title = text.split("\n", 1)[0][:160]
risk_score = _score_risk(text)
coords = _resolve_telegram_coords(text)
post_id = hashlib.sha1(f"{link}|{published}".encode("utf-8")).hexdigest()[:16]
media = _extract_media(block, link)
posts.append(
{
"id": post_id,
"title": title,
"description": text[:1200],
"link": link,
"published": published,
"source": f"t.me/{channel}",
"channel": channel,
"risk_score": risk_score,
"coords": [coords[0], coords[1]] if coords else None,
**media,
}
)
return posts
def fetch_telegram_osint() -> dict[str, Any]:
if not is_any_active("telegram_osint"):
return latest_data.get("telegram_osint") or {"posts": [], "total": 0, "timestamp": None}
if not telegram_osint_enabled():
with _data_lock:
latest_data["telegram_osint"] = {"posts": [], "total": 0, "timestamp": None, "disabled": True}
_mark_fresh("telegram_osint")
return latest_data["telegram_osint"]
headers = {
"User-Agent": (
f"Mozilla/5.0 (compatible; {outbound_user_agent('telegram-osint')}) "
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
),
"Accept": "text/html,application/xhtml+xml",
}
with _data_lock:
prior = latest_data.get("telegram_osint") or {}
existing_posts = list(prior.get("posts") or [])
known_links = {_post_link(post) for post in existing_posts if _post_link(post)}
incoming: list[dict[str, Any]] = []
for channel in _configured_channels():
url = f"https://t.me/s/{channel}"
try:
resp = fetch_with_curl(url, timeout=15, headers=headers)
if not resp or resp.status_code != 200:
logger.warning(
"Telegram channel %s fetch failed: HTTP %s",
channel,
resp.status_code if resp else "no response",
)
continue
channel_new = _extract_new_channel_posts(resp.text, channel, known_links)
for post in channel_new:
link = _post_link(post)
if not link or link in known_links:
continue
known_links.add(link)
incoming.append(post)
except Exception as exc:
logger.warning("Telegram channel %s parse failed: %s", channel, exc)
merged_posts, added = _merge_telegram_posts(existing_posts, incoming)
merged_posts = [_refresh_post_coords(post) for post in merged_posts]
geolocated = sum(1 for p in merged_posts if p.get("coords"))
payload = {
"posts": merged_posts,
"total": len(merged_posts),
"geolocated": geolocated,
"timestamp": datetime.now(timezone.utc).isoformat(),
"channels": _configured_channels(),
"last_fetch_new": added,
}
with _data_lock:
latest_data["telegram_osint"] = payload
_mark_fresh("telegram_osint")
logger.info(
"Telegram OSINT: +%s new, %s retained (%s geolocated)",
added,
len(merged_posts),
geolocated,
)
return payload
+1 -7
View File
@@ -10,12 +10,6 @@ from datetime import datetime, timezone
from services.fetchers._store import _data_lock, _mark_fresh, latest_data
from services.network_utils import fetch_with_curl
def _trains_user_agent() -> str:
from services.network_utils import outbound_user_agent
return outbound_user_agent("trains")
logger = logging.getLogger(__name__)
_EARTH_RADIUS_KM = 6371.0
@@ -385,7 +379,7 @@ def _fetch_digitraffic() -> list[dict]:
timeout=15,
headers={
"Accept-Encoding": "gzip",
"User-Agent": _trains_user_agent(),
"User-Agent": "ShadowBroker-OSINT/1.0",
},
)
if resp.status_code != 200:
@@ -1,457 +0,0 @@
"""USNI News Fleet & Marine Tracker — authoritative weekly carrier
position publication.
Why this exists
---------------
The previous carrier_tracker pipeline relied on GDELT headline matching
(``api.gdeltproject.org``) to derive positions from text like "USS Ford
in the Mediterranean" → centroid of "Mediterranean Sea". That was
- low-precision (audit issue #245 — false precision from text mentions),
- unreliable (``api.gdeltproject.org`` is sometimes unreachable from
certain network paths, including Docker Desktop on some Windows hosts).
USNI publishes a weekly tracker that explicitly lists where every U.S.
carrier is operating. The article body uses extremely consistent phrasing:
"The Gerald R. Ford Carrier Strike Group is operating in the Red Sea"
"Aircraft carrier USS George Washington (CVN-73) is in port in
Yokosuka, Japan."
"USS Dwight D. Eisenhower (CVN-69) sails down the Elizabeth River"
Those are deterministic to parse. This module:
1. Pulls the WordPress RSS feeds (both site-wide and category) the
site-wide feed often has fresher posts before the category feed
catches up, so we union them.
2. Picks the most recent post by parsed ``pubDate``.
3. For each carrier in the registry, scans the article body for a
"is operating in / is in port in / departed from" pattern near
the carrier's name.
4. Maps the extracted region phrase to coordinates via the carrier
tracker's existing REGION_COORDS.
The result is a ``{hull: position_entry}`` dict that the carrier tracker
consumes as a high-confidence source ``position_confidence: "recent"``
with ``position_source_at`` set to the article's actual publication
timestamp (not ``now()``).
Politeness
----------
We send the per-install operator handle via ``outbound_user_agent``
(Round 7a) so USNI can rate-limit / contact the specific install if
needed. Article-body pages return 403 to non-browser UAs (Cloudflare),
but WordPress RSS feeds are open and serve the full article in
``<content:encoded>`` that's the supported path for aggregators and
the one we use. We do not spoof browser headers.
"""
from __future__ import annotations
import logging
import re
import xml.etree.ElementTree as ET
from datetime import datetime, timezone
from email.utils import parsedate_to_datetime
from typing import Iterable
from services.network_utils import fetch_with_curl, outbound_user_agent
logger = logging.getLogger(__name__)
_RSS_URLS: tuple[str, ...] = (
# Site-wide feed often has the freshest posts before the category
# feed catches up. We try this first.
"https://news.usni.org/feed",
# Category feed has older fleet trackers for backfill.
"https://news.usni.org/category/fleet-tracker/feed",
)
_RSS_NS = {"content": "http://purl.org/rss/1.0/modules/content/"}
_FLEET_TRACKER_TITLE_RE = re.compile(
r"fleet\s+and\s+marine\s+tracker", re.IGNORECASE
)
_TAG_STRIP_RE = re.compile(r"<[^>]+>")
_WHITESPACE_RE = re.compile(r"\s+")
def _strip_html(html: str) -> str:
text = _TAG_STRIP_RE.sub(" ", html or "")
return _WHITESPACE_RE.sub(" ", text).strip()
def _request_headers() -> dict[str, str]:
"""Headers USNI's WordPress feed accepts from a legitimate aggregator.
The ``Referer`` is the category index page that's where a real
feed reader navigates from. ``Accept`` declares RSS preference but
falls back to HTML. No browser UA spoofing.
"""
return {
"User-Agent": outbound_user_agent("usni-fleet-tracker"),
"Accept": "application/rss+xml, application/xml;q=0.9, */*;q=0.1",
"Accept-Language": "en-US,en;q=0.5",
"Referer": "https://news.usni.org/category/fleet-tracker",
}
def _parse_pubdate(raw: str) -> datetime | None:
if not raw:
return None
try:
dt = parsedate_to_datetime(raw)
if dt.tzinfo is None:
dt = dt.replace(tzinfo=timezone.utc)
return dt
except (TypeError, ValueError):
return None
def _iter_fleet_tracker_items(rss_urls: Iterable[str]) -> list[dict]:
"""Pull every fleet-tracker post visible across the given RSS feeds.
De-duplicates by article link. Returns a list of dicts:
{"title", "link", "pub_date" (datetime), "body" (plain text)}
"""
items_by_link: dict[str, dict] = {}
for url in rss_urls:
try:
r = fetch_with_curl(url, timeout=15, headers=_request_headers())
except Exception as exc:
logger.debug("USNI RSS %s exception: %s", url, exc)
continue
if not r or r.status_code != 200 or not r.text:
logger.debug(
"USNI RSS %s returned status=%s body=%d",
url,
getattr(r, "status_code", "?"),
len(getattr(r, "text", "") or ""),
)
continue
try:
root = ET.fromstring(r.text)
except ET.ParseError as exc:
logger.warning("USNI RSS parse error from %s: %s", url, exc)
continue
for item in root.findall(".//item"):
title = (item.findtext("title") or "").strip()
if not _FLEET_TRACKER_TITLE_RE.search(title):
continue
link = (item.findtext("link") or "").strip()
if not link or link in items_by_link:
continue
pub_dt = _parse_pubdate(item.findtext("pubDate") or "")
body_html = (
item.findtext("content:encoded", default="", namespaces=_RSS_NS)
or item.findtext("description", default="")
or ""
)
items_by_link[link] = {
"title": title,
"link": link,
"pub_date": pub_dt,
"body": _strip_html(body_html),
}
return list(items_by_link.values())
# Map USNI region phrases to keys in carrier_tracker.REGION_COORDS.
# The carrier_tracker table already covers most named bodies of water and
# major ports — we just need to teach this module to RECOGNIZE the
# specific phrases USNI's editorial style uses, which sometimes spell
# the same body of water differently.
_USNI_REGION_ALIASES: tuple[tuple[str, str], ...] = (
# USNI phrase (lowercase) -> REGION_COORDS key
("eastern mediterranean", "eastern mediterranean"),
("western mediterranean", "western mediterranean"),
("mediterranean sea", "mediterranean"),
("the mediterranean", "mediterranean"),
("red sea", "red sea"),
("arabian sea area of responsibility", "arabian sea"),
("north arabian sea", "north arabian sea"),
("arabian sea", "arabian sea"),
("persian gulf", "persian gulf"),
("gulf of oman", "gulf of oman"),
("strait of hormuz", "strait of hormuz"),
("south china sea", "south china sea"),
("east china sea", "east china sea"),
("philippine sea", "philippine sea"),
("sea of japan", "sea of japan"),
("taiwan strait", "taiwan strait"),
("western pacific", "western pacific"),
("pacific ocean", "pacific"),
("indian ocean", "indian ocean"),
("north atlantic", "north atlantic"),
("western atlantic", "atlantic"),
("eastern atlantic", "atlantic"),
("atlantic ocean", "atlantic"),
("gulf of aden", "gulf of aden"),
("horn of africa", "horn of africa"),
("bab el-mandeb", "bab el-mandeb"),
("suez canal", "suez canal"),
("baltic sea", "baltic sea"),
("north sea", "north sea"),
("black sea", "black sea"),
("south atlantic", "south atlantic"),
("coral sea", "coral sea"),
("gulf of mexico", "gulf of mexico"),
("caribbean sea", "caribbean"),
("caribbean", "caribbean"),
# Specific ports
("naval station norfolk", "norfolk"),
("norfolk naval shipyard", "newport news"),
("newport news shipbuilding", "newport news"),
("newport news", "newport news"),
# USNI tags Norfolk mentions with state suffix; match both.
("norfolk, va", "norfolk"),
("norfolk", "norfolk"),
("naval station everett", "puget sound"),
("naval base kitsap", "bremerton"),
("bremerton", "bremerton"),
("puget sound", "puget sound"),
("naval base san diego", "san diego"),
("san diego, calif", "san diego"),
("san diego", "san diego"),
("yokosuka, japan", "yokosuka"),
("yokosuka", "yokosuka"),
("pearl harbor", "pearl harbor"),
("apra harbor, guam", "guam"),
("guam", "guam"),
("bahrain", "bahrain"),
("naval station rota", "rota"),
("rota, spain", "rota"),
("naples, italy", "naples"),
# Fleets / AORs
("5th fleet", "5th fleet"),
("6th fleet", "6th fleet"),
("7th fleet", "7th fleet"),
("3rd fleet", "3rd fleet"),
("2nd fleet", "2nd fleet"),
("centcom", "centcom"),
("indo-pacific command", "indopacom"),
("eucom", "eucom"),
("southcom", "southcom"),
)
def _resolve_region_phrase(phrase: str) -> tuple[str, str] | None:
"""Map a USNI region phrase to a ``(canonical_key, display)`` tuple,
or ``None`` if we don't recognize it.
``canonical_key`` is what ``carrier_tracker.REGION_COORDS`` keys on.
``display`` is the phrase we'll show in the dossier description.
"""
p = (phrase or "").lower().strip()
if not p:
return None
for usni_phrase, canonical in _USNI_REGION_ALIASES:
if usni_phrase in p:
return canonical, usni_phrase
return None
# Operating-verb phrases USNI uses, with a capture group for the region
# phrase that immediately follows. Each pattern is designed to swallow
# the optional editorial filler that often appears between verb and
# location (e.g. "returned Friday to Norfolk" — "Friday" goes in the
# filler; "Norfolk" is the location).
#
# Order matters: most-specific patterns first, so e.g. "is in port in"
# wins over the generic "is".
_DAY_FILLER = r"(?:[A-Z][a-z]+(?:day)?,?\s+)?" # optional "Friday" / "Monday" / etc.
_LOC_CAPTURE = r"([A-Za-z][A-Za-z0-9\s,\.\-']{2,80})"
_OPERATING_PATTERNS: tuple[re.Pattern, ...] = (
# "is operating in [the] {REGION}" / "is also operating in [the] {REGION}"
re.compile(r"\bis\s+(?:also\s+|now\s+)?operating\s+in\s+(?:the\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
# "is conducting <stuff> in [the] {REGION}"
re.compile(r"\bis\s+conducting\s+[A-Za-z0-9\-\s]{2,40}\s+in\s+(?:the\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
# "is in port in {LOCATION}"
re.compile(r"\bis\s+in\s+port\s+in\s+" + _LOC_CAPTURE, re.IGNORECASE),
# "is in port" (no location — degenerate, use carrier's homeport via separate path)
# → not captured here; falls through to homeport
# "is underway in [the] {REGION}"
re.compile(r"\bis\s+underway\s+in\s+(?:the\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
# "is deployed to [the] {REGION}" / "deployed in"
re.compile(r"\bis\s+deployed\s+(?:to|in)\s+(?:the\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
# "returned [Day] to {LOCATION}" / "returned [Day] from {REGION}"
re.compile(r"\breturned\s+" + _DAY_FILLER + r"to\s+" + _LOC_CAPTURE, re.IGNORECASE),
re.compile(r"\breturned\s+" + _DAY_FILLER + r"from\s+(?:the\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
# "arrived [Day] in/at {LOCATION}"
re.compile(r"\barrived\s+" + _DAY_FILLER + r"(?:in|at)\s+" + _LOC_CAPTURE, re.IGNORECASE),
# "departed [Day] from {LOCATION}"
re.compile(r"\bdeparted\s+" + _DAY_FILLER + r"(?:from\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
# "transiting [the] {REGION}" / "sailing through [the] {REGION}"
re.compile(r"\btransiting\s+(?:the\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
re.compile(r"\bsailing\s+through\s+(?:the\s+)?" + _LOC_CAPTURE, re.IGNORECASE),
# "is homeported at {LOCATION}"
re.compile(r"\bis\s+homeported\s+at\s+" + _LOC_CAPTURE, re.IGNORECASE),
)
def _extract_region_for_carrier(
body: str,
carrier_names: list[str],
hull_code: str,
) -> str | None:
"""Return the best-guess region phrase for one carrier from the
article body, or None if no confident match.
Algorithm:
1. Find every mention of the carrier (any name variant or the hull
code) in the body.
2. For each mention, look in the ~300-char window AFTER it for any
of the operating-verb patterns.
3. Return the first hit. If a more-confident match later turns up
(e.g. "is operating in the X" beats "is homeported at Y"), the
first one in document order still wins USNI's structure puts
the position-update sentence near the top of each carrier's
section, and the homeport mention later.
"""
# Build a master mention regex covering every name variant + the hull.
candidates: list[str] = []
for name in carrier_names:
if name and len(name) >= 4:
candidates.append(re.escape(name))
if hull_code:
candidates.append(re.escape(hull_code))
if not candidates:
return None
mention_re = re.compile(r"\b(?:" + "|".join(candidates) + r")\b", re.IGNORECASE)
window_chars = 320
seen_phrases: list[str] = []
for mention in mention_re.finditer(body):
end = mention.end()
window = body[end : end + window_chars]
# Cut window at the next sentence break for tighter context.
# (We use the LAST period within the window so "Norfolk, Va." isn't
# confused for a sentence end — USNI uses ", Va." prolifically.)
# Sentence break candidates: ". " followed by uppercase OR newline.
sent_break = re.search(r"[\.!?]\s+[A-Z]", window)
if sent_break:
window = window[: sent_break.start() + 1]
# Try patterns in priority order.
for pat in _OPERATING_PATTERNS:
m = pat.search(window)
if not m:
continue
phrase = m.group(1).strip().rstrip(",.;: ")
if not phrase:
continue
# Strip trailing editorial filler — USNI often writes
# "Norfolk, Va., according to ship spotters" or
# "Yokosuka, Japan, according to..."
phrase = re.split(
r",\s+(?:according|as of|for|while|where|in support|in the)",
phrase,
maxsplit=1,
)[0].strip()
seen_phrases.append(phrase)
return phrase
return seen_phrases[0] if seen_phrases else None
def fetch_latest_fleet_tracker_positions(
carrier_registry: dict | None = None,
region_coords: dict | None = None,
) -> dict[str, dict]:
"""Return ``{hull: position_entry}`` for the latest USNI fleet tracker.
Entries look like::
{
"lat": 18.0, "lng": 39.5, "heading": 0,
"desc": "Red Sea (USNI May 18, 2026)",
"source": "USNI News Fleet & Marine Tracker (May 18, 2026)",
"source_url": "https://news.usni.org/2026/05/18/...",
"position_source_at": "2026-05-18T18:58:44+00:00",
"position_confidence": "recent",
}
Carriers whose section can't be parsed (e.g. an off-week with no
mention) are simply absent from the result the caller keeps
whatever position they had before.
``carrier_registry`` and ``region_coords`` default to the carrier_tracker
module's own tables; passed in here for testability.
"""
if carrier_registry is None or region_coords is None:
from services.carrier_tracker import CARRIER_REGISTRY, REGION_COORDS
carrier_registry = carrier_registry or CARRIER_REGISTRY
region_coords = region_coords or REGION_COORDS
items = _iter_fleet_tracker_items(_RSS_URLS)
if not items:
logger.warning("USNI fleet-tracker: no parseable RSS items")
return {}
# Pick the most recent by parsed pubDate. Items without a parseable
# date fall to the back of the list.
items.sort(
key=lambda it: it["pub_date"] or datetime(1970, 1, 1, tzinfo=timezone.utc),
reverse=True,
)
latest = items[0]
pub_dt: datetime | None = latest["pub_date"]
pub_iso = pub_dt.isoformat() if pub_dt else ""
pub_human = pub_dt.strftime("%b %d, %Y") if pub_dt else "unknown date"
body = latest["body"]
if not body:
logger.warning("USNI fleet-tracker: latest item has empty body")
return {}
positions: dict[str, dict] = {}
for hull, info in carrier_registry.items():
# Build name variants we'll try in the body.
full_name = info["name"] # "USS Gerald R. Ford (CVN-78)"
without_hull = full_name.split("(")[0].strip() # "USS Gerald R. Ford"
last_word = without_hull.split()[-1] # "Ford"
ship_only = without_hull[4:] # "Gerald R. Ford"
# Variants ordered most-specific first.
variants: list[str] = []
for v in (without_hull, f"USS {ship_only}", ship_only, last_word):
if v and v not in variants and len(v) >= 4:
variants.append(v)
phrase = _extract_region_for_carrier(body, variants, hull)
if not phrase:
continue
resolved = _resolve_region_phrase(phrase)
if not resolved:
logger.debug(
"USNI: %s region phrase %r did not match any known region",
hull, phrase,
)
continue
canonical_key, display_phrase = resolved
coords = region_coords.get(canonical_key)
if not coords:
continue
positions[hull] = {
"lat": coords[0],
"lng": coords[1],
"heading": 0,
"desc": f"{display_phrase.title()} (USNI {pub_human})",
"source": f"USNI News Fleet & Marine Tracker ({pub_human})",
"source_url": latest["link"],
"position_source_at": pub_iso,
"position_confidence": "recent",
}
if positions:
logger.info(
"USNI fleet-tracker: parsed %d/%d carrier positions from %s",
len(positions), len(carrier_registry), latest["link"],
)
else:
logger.warning(
"USNI fleet-tracker: latest article %s yielded zero parseable carriers",
latest["link"],
)
return positions
+5 -13
View File
@@ -21,17 +21,9 @@ _cache_lock = threading.Lock()
_local_search_cache: List[Dict[str, Any]] | None = None
_local_search_lock = threading.Lock()
# Round 7a: per-install operator handle threads through every Nominatim
# call. NOMINATIM_USER_AGENT env override is still honored for operators
# who run a custom relay / known good identity, but the default uses the
# per-install handle so OpenStreetMap can rate-limit per install instead
# of treating "Shadowbroker" as one big offender.
def _nominatim_user_agent() -> str:
override = os.environ.get("NOMINATIM_USER_AGENT", "").strip()
if override:
return override
from services.network_utils import outbound_user_agent
return outbound_user_agent("nominatim")
_USER_AGENT = os.environ.get(
"NOMINATIM_USER_AGENT", "ShadowBroker/1.0 (https://github.com/BigBodyCobain/Shadowbroker)"
)
def _get_cache(key: str):
@@ -186,7 +178,7 @@ def search_geocode(query: str, limit: int = 5, local_only: bool = False) -> List
res = fetch_with_curl(
url,
headers={
"User-Agent": _nominatim_user_agent(),
"User-Agent": _USER_AGENT,
"Accept-Language": "en",
},
timeout=6,
@@ -249,7 +241,7 @@ def reverse_geocode(lat: float, lng: float, local_only: bool = False) -> Dict[st
res = fetch_with_curl(
url,
headers={
"User-Agent": _nominatim_user_agent(),
"User-Agent": _USER_AGENT,
"Accept-Language": "en",
},
timeout=6,
+55 -97
View File
@@ -1,4 +1,3 @@
import os
import requests
import logging
import zipfile
@@ -9,62 +8,11 @@ from datetime import datetime
from urllib.parse import urljoin, urlparse
from services.network_utils import fetch_with_curl
def _geopolitics_user_agent() -> str:
"""Round 7a: GDELT geopolitics fetcher attribution."""
from services.network_utils import outbound_user_agent
return outbound_user_agent("geopolitics-gdelt")
logger = logging.getLogger(__name__)
# Cache Frontline data for 30 minutes, it doesn't move that fast
frontline_cache = TTLCache(maxsize=1, ttl=1800)
_DEFAULT_DEEPSTATE_MIRROR_REPO = "cyterat/deepstate-map-data"
def _deepstate_mirror_ref() -> tuple[str, str]:
"""Return (github_repo_slug, git_ref) for the DeepState mirror.
When ``DEEPSTATE_MIRROR_COMMIT`` is set, ingest is pinned to that immutable
SHA instead of following the mutable ``main`` branch (#362).
"""
repo = (os.environ.get("DEEPSTATE_MIRROR_REPO") or _DEFAULT_DEEPSTATE_MIRROR_REPO).strip()
if repo.count("/") != 1:
repo = _DEFAULT_DEEPSTATE_MIRROR_REPO
commit = (os.environ.get("DEEPSTATE_MIRROR_COMMIT") or "").strip()
ref = commit if commit else "main"
return repo, ref
def _latest_deepstate_geo_path(tree_items: list) -> str | None:
geo_files = [
item["path"]
for item in tree_items
if isinstance(item, dict)
and str(item.get("path", "")).startswith("data/deepstatemap_data_")
and str(item.get("path", "")).endswith(".geojson")
]
return sorted(geo_files)[-1] if geo_files else None
def _annotate_deepstate_geojson(data: dict) -> dict:
name_map = {
0: "Russian-occupied areas",
1: "Russian advance",
2: "Liberated area",
3: "Russian-occupied areas", # Crimea / LPR / DPR
4: "Directions of UA attacks",
}
if "features" in data:
for idx, feature in enumerate(data["features"]):
if "properties" not in feature or feature["properties"] is None:
feature["properties"] = {}
feature["properties"]["name"] = name_map.get(idx, "Russian-occupied areas")
feature["properties"]["zone_id"] = idx
return data
@cached(frontline_cache)
def fetch_ukraine_frontlines():
@@ -72,34 +20,67 @@ def fetch_ukraine_frontlines():
Fetches the latest GeoJSON data representing the Ukraine frontline.
We use the cyterat/deepstate-map-data github mirror since the public API is locked.
"""
repo, ref = _deepstate_mirror_ref()
try:
logger.info("Fetching DeepStateMap from GitHub mirror (%s @ %s)...", repo, ref)
logger.info("Fetching DeepStateMap from GitHub mirror...")
tree_url = f"https://api.github.com/repos/{repo}/git/trees/{ref}?recursive=1"
# First, query the repo tree to find the latest file name
tree_url = (
"https://api.github.com/repos/cyterat/deepstate-map-data/git/trees/main?recursive=1"
)
res_tree = requests.get(tree_url, timeout=10)
if res_tree.status_code == 200:
latest_file = _latest_deepstate_geo_path(res_tree.json().get("tree", []))
if latest_file:
raw_url = f"https://raw.githubusercontent.com/{repo}/{ref}/{latest_file}"
logger.info("Downloading DeepStateMap: %s", raw_url)
tree_data = res_tree.json().get("tree", [])
# Filter for geojson files in data folder
geo_files = [
item["path"]
for item in tree_data
if item["path"].startswith("data/deepstatemap_data_")
and item["path"].endswith(".geojson")
]
if geo_files:
# Get the alphabetically latest file (since it's named with YYYYMMDD)
latest_file = sorted(geo_files)[-1]
raw_url = f"https://raw.githubusercontent.com/cyterat/deepstate-map-data/main/{latest_file}"
logger.info(f"Downloading latest DeepStateMap: {raw_url}")
res_geo = requests.get(raw_url, timeout=20)
if res_geo.status_code == 200:
return _annotate_deepstate_geojson(res_geo.json())
logger.error(
"Failed to fetch parsed Github Raw GeoJSON: %s", res_geo.status_code
)
else:
logger.error("No deepstatemap_data_*.geojson files in mirror tree at %s", ref)
data = res_geo.json()
# The Cyterat GitHub mirror strips all properties and just provides a raw array of Feature polygons.
# Based on DeepStateMap's frontend mapping, the array index corresponds to the zone type:
# 0: Russian-occupied areas
# 1: Russian advance
# 2: Liberated area
# 3: Uncontested/Crimea (often folded into occupied)
name_map = {
0: "Russian-occupied areas",
1: "Russian advance",
2: "Liberated area",
3: "Russian-occupied areas", # Crimea / LPR / DPR
4: "Directions of UA attacks",
}
if "features" in data:
for idx, feature in enumerate(data["features"]):
if "properties" not in feature or feature["properties"] is None:
feature["properties"] = {}
feature["properties"]["name"] = name_map.get(
idx, "Russian-occupied areas"
)
feature["properties"]["zone_id"] = idx
return data
else:
logger.error(
f"Failed to fetch parsed Github Raw GeoJSON: {res_geo.status_code}"
)
else:
logger.error(
"Failed to fetch Github tree for Deepstatemap (%s @ %s): %s",
repo,
ref,
res_tree.status_code,
)
logger.error(f"Failed to fetch Github Tree for Deepstatemap: {res_tree.status_code}")
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"Error fetching DeepStateMap: {e}")
return None
@@ -335,7 +316,7 @@ def _fetch_article_title(url):
resp = requests.get(
current_url,
timeout=4,
headers={"User-Agent": _geopolitics_user_agent()},
headers={"User-Agent": "Mozilla/5.0 (compatible; OSINT Dashboard/1.0)"},
stream=True,
allow_redirects=False,
)
@@ -540,29 +521,10 @@ def _parse_gdelt_export_zip(zip_bytes, conflict_codes, seen_locs, features, loc_
logger.warning(f"Failed to parse GDELT export zip: {e}")
# GDELT's data.gdeltproject.org is a CNAME to a Google Cloud Storage
# bucket of the same name. GCS returns the wildcard ``*.storage.googleapis.com``
# certificate, which legitimately does NOT cover the GDELT custom domain
# — Python's TLS verification correctly refuses it. Some networks/POPs
# happen to route through a path where this works; many do not (notably
# Docker Desktop's outbound NAT on local installs).
#
# Fix: rewrite the URL to hit GCS directly with a path-style bucket
# reference, where the standard GCS cert is genuinely valid. Same data,
# verified TLS, no operator-side workaround needed.
def _gcs_direct_gdelt_url(url: str) -> str:
"""If ``url`` points at data.gdeltproject.org, return the equivalent
GCS-direct URL. Otherwise return the URL unchanged."""
prefix = "://data.gdeltproject.org/"
if prefix in url:
return url.replace(prefix, "://storage.googleapis.com/data.gdeltproject.org/", 1)
return url
def _download_gdelt_export(url):
"""Download a single GDELT export file, return bytes or None."""
try:
res = fetch_with_curl(_gcs_direct_gdelt_url(url), timeout=15)
res = fetch_with_curl(url, timeout=15)
if res.status_code == 200:
return res.content
except (ConnectionError, TimeoutError, OSError): # non-critical
@@ -658,12 +620,8 @@ def fetch_global_military_incidents():
# HTTPS is used to prevent passive network observers from injecting
# poisoned export records into the global incident map via MITM.
# GDELT serves the same content over HTTPS as HTTP.
# Use the GCS-direct URL because data.gdeltproject.org's CNAME
# serves a wildcard *.storage.googleapis.com cert that legitimately
# doesn't cover the GDELT hostname. See _gcs_direct_gdelt_url above.
index_res = fetch_with_curl(
_gcs_direct_gdelt_url("https://data.gdeltproject.org/gdeltv2/lastupdate.txt"),
timeout=10,
"https://data.gdeltproject.org/gdeltv2/lastupdate.txt", timeout=10
)
if index_res.status_code != 200:
logger.error(f"GDELT lastupdate failed: {index_res.status_code}")
@@ -1,20 +1,14 @@
"""Function Keys — anonymous credential scaffolding.
"""Function Keys — anonymous citizenship proof.
Source of truth: ``infonet-economy/IMPLEMENTATION_PLAN.md`` §4.4,
``infonet-economy/BRAINDUMP.md`` §11 item 9.
A citizen should eventually be able to prove "I am a UBI-eligible
Infonet citizen" to a real-world operator (food bank, community
service) **without revealing their Infonet identity**. The current
Python implementation wires the accounting, nullifier, receipt, and
operator flows, but its HMAC challenge-response is a placeholder for
integration tests. It is not a production anonymous or zero-knowledge
citizenship proof until blind signatures or anonymous credentials are
selected and wired.
The naive approach (scramble a public key, record each redemption on
chain) leaks identity through metadata correlation (time, location,
operator, frequency).
A citizen should be able to prove "I am a UBI-eligible Infonet
citizen" to a real-world operator (food bank, community service)
**without revealing their Infonet identity**. The naive approach
(scramble a public key, record each redemption on chain) leaks
identity through metadata correlation (time, location, operator,
frequency).
The full design has six pieces; five are implemented in pure Python
here. The remaining piece issuance via blind signatures or
@@ -33,8 +27,7 @@ Pieces:
operator: tracked via ``NullifierTracker``.
3. **Challenge-response** (`challenge_response.py`) operator
issues a fresh nonce, key-holder signs with the Function Key's
secret. This is HMAC placeholder plumbing for screenshot/replay
resistance, not the final anonymous credential proof.
secret. Prevents screenshot attacks, key sharing, replay.
4. **Two-phase commit receipts** (`receipt.py`) Phase 1
verification receipt (operator-signed, day-level date NOT
timestamp, no node_id). Phase 2 fulfillment receipt (citizen
@@ -1,94 +0,0 @@
"""Country risk index (static scores + USGS quake enrichment)."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
from zoneinfo import ZoneInfo
from services.network_utils import fetch_with_curl
RISK_FACTORS: dict[str, dict[str, Any]] = {
"UA": {"base": 85, "tags": ["active_conflict", "infrastructure_damage"]},
"RU": {"base": 72, "tags": ["sanctions", "military_mobilization"]},
"IL": {"base": 78, "tags": ["active_conflict", "regional_instability"]},
"PS": {"base": 90, "tags": ["active_conflict", "humanitarian_crisis"]},
"SY": {"base": 82, "tags": ["post_conflict", "infrastructure_damage"]},
"YE": {"base": 88, "tags": ["active_conflict", "humanitarian_crisis"]},
"MM": {"base": 76, "tags": ["civil_unrest", "military_junta"]},
"SD": {"base": 84, "tags": ["active_conflict", "humanitarian_crisis"]},
"AF": {"base": 80, "tags": ["post_conflict", "governance_collapse"]},
"KP": {"base": 70, "tags": ["nuclear_risk", "isolation"]},
"IR": {"base": 68, "tags": ["sanctions", "nuclear_program", "regional_proxy"]},
"CN": {"base": 35, "tags": ["strategic_competition", "taiwan_tensions"]},
"TW": {"base": 45, "tags": ["invasion_risk", "semiconductor_dependency"]},
"VE": {"base": 60, "tags": ["economic_collapse", "political_instability"]},
"HT": {"base": 85, "tags": ["gang_violence", "governance_collapse"]},
"LB": {"base": 65, "tags": ["economic_crisis", "political_deadlock"]},
"PK": {"base": 55, "tags": ["terrorism", "political_instability"]},
"SO": {"base": 82, "tags": ["terrorism", "state_fragility"]},
"LY": {"base": 72, "tags": ["divided_government", "militia_control"]},
"ET": {"base": 62, "tags": ["ethnic_tensions", "regional_conflicts"]},
}
EXCHANGES = [
{"name": "NYSE", "tz": "America/New_York", "open": 9.5, "close": 16, "country": "US"},
{"name": "NASDAQ", "tz": "America/New_York", "open": 9.5, "close": 16, "country": "US"},
{"name": "LSE", "tz": "Europe/London", "open": 8, "close": 16.5, "country": "GB"},
{"name": "TSE", "tz": "Asia/Tokyo", "open": 9, "close": 15, "country": "JP"},
{"name": "SSE", "tz": "Asia/Shanghai", "open": 9.5, "close": 15, "country": "CN"},
{"name": "HKEX", "tz": "Asia/Hong_Kong", "open": 9.5, "close": 16, "country": "HK"},
{"name": "FRA", "tz": "Europe/Berlin", "open": 8, "close": 20, "country": "DE"},
{"name": "TSX", "tz": "America/Toronto", "open": 9.5, "close": 16, "country": "CA"},
{"name": "MOEX", "tz": "Europe/Moscow", "open": 10, "close": 18.5, "country": "RU"},
]
def _exchange_open(ex: dict[str, Any]) -> bool:
try:
now = datetime.now(ZoneInfo(ex["tz"]))
if now.weekday() >= 5:
return False
decimal = now.hour + now.minute / 60
return ex["open"] <= decimal < ex["close"]
except Exception:
return False
def build_country_risk_payload() -> dict[str, Any]:
quake_risks: dict[str, float] = {}
try:
resp = fetch_with_curl(
"https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/4.5_day.geojson",
timeout=5,
)
if resp.status_code == 200:
for f in resp.json().get("features") or []:
place = (f.get("properties") or {}).get("place") or ""
mag = (f.get("properties") or {}).get("mag") or 0
for code in RISK_FACTORS:
if code.lower() in place.lower():
quake_risks[code] = quake_risks.get(code, 0) + mag
except Exception:
pass
countries = []
for code, data in RISK_FACTORS.items():
base = data["base"]
score = min(100, base + quake_risks.get(code, 0))
countries.append(
{
"code": code,
"risk_score": score,
"risk_level": "CRITICAL" if base >= 80 else "HIGH" if base >= 60 else "ELEVATED" if base >= 40 else "LOW",
"tags": data["tags"],
}
)
countries.sort(key=lambda c: c["risk_score"], reverse=True)
exchanges = [{"name": e["name"], "country": e["country"], "open": _exchange_open(e)} for e in EXCHANGES]
return {
"countries": countries,
"exchanges": exchanges,
"open_exchanges": sum(1 for e in exchanges if e["open"]),
"total_exchanges": len(exchanges),
"timestamp": datetime.now(timezone.utc).isoformat(),
}
+16 -34
View File
@@ -32,14 +32,14 @@ logger = logging.getLogger(__name__)
_REFRESH_SECONDS = 24 * 3600
kiwisdr_cache: TTLCache = TTLCache(maxsize=1, ttl=_REFRESH_SECONDS)
_SOURCE_URL_HTTP = "http://rx.linkfanel.net/kiwisdr_com.js"
_SOURCE_URL_HTTPS = "https://rx.linkfanel.net/kiwisdr_com.js"
_SOURCE_URL = "http://rx.linkfanel.net/kiwisdr_com.js"
_CACHE_FILE = Path(__file__).resolve().parent.parent / "data" / "kiwisdr_cache.json"
# Bundled fallback — shipped with the codebase so the KiwiSDR layer always
# has something to render even when the upstream is unreachable, returns
# garbage, or appears to have been tampered with. Issue #206 / #364: try HTTPS
# first, then HTTP; we still validate shape and fall back to this bundle if the
# payload does not look right.
# garbage, or appears to have been tampered with. Issue #206: the upstream
# only speaks HTTP, so we can't rely on TLS for integrity — instead we
# validate the response's shape and fall back to this bundle if it doesn't
# look right.
_BUNDLED_FALLBACK = Path(__file__).resolve().parent.parent / "data" / "kiwisdr_directory.json"
# Minimum number of receivers we expect from a healthy upstream response.
@@ -184,29 +184,6 @@ def _validate_fetched_nodes(nodes: list[dict]) -> bool:
return True
def _fetch_mirror_payload_text() -> str | None:
"""Try HTTPS first, then HTTP. Shape validation still applies (#364)."""
from services.network_utils import fetch_with_curl
last_error: Exception | None = None
for url in (_SOURCE_URL_HTTPS, _SOURCE_URL_HTTP):
try:
res = fetch_with_curl(url, timeout=20)
if res and res.status_code == 200:
if url == _SOURCE_URL_HTTP:
logger.info(
"KiwiSDR: HTTPS mirror unavailable; using HTTP with shape validation"
)
return res.text
last_error = RuntimeError(f"HTTP {getattr(res, 'status_code', 'unknown')}")
except Exception as e:
last_error = e
logger.debug("KiwiSDR mirror fetch failed for %s: %s", url, e)
if last_error is not None:
logger.warning("KiwiSDR mirror fetch failed: %s", last_error)
return None
def _load_bundled_fallback() -> list[dict]:
"""Last-resort directory shipped with the codebase. Always returns a
list (may be empty if the bundle is missing in older deployments)."""
@@ -225,8 +202,9 @@ def _load_bundled_fallback() -> list[dict]:
def fetch_kiwisdr_nodes() -> list[dict]:
"""Return the KiwiSDR receiver list, refreshed at most once per day.
Layered fallback (issue #206 / #364 — HTTPS first, HTTP fallback, plus
content validation + bundled static directory):
Layered fallback (issue #206 — upstream is HTTP-only, so we defend with
content validation + bundled static directory rather than trying to
upgrade the transport):
1. In-memory cache (handled by @cached on this function)
2. On-disk cache if <24h old
@@ -238,6 +216,8 @@ def fetch_kiwisdr_nodes() -> list[dict]:
tampered upstream returning garbage is caught by _validate_fetched_nodes()
and falls through to whatever previously-trusted snapshot we have.
"""
from services.network_utils import fetch_with_curl
# 1. Trust on-disk cache if fresh.
cached_nodes = _load_disk_cache()
if cached_nodes is not None:
@@ -250,12 +230,14 @@ def fetch_kiwisdr_nodes() -> list[dict]:
fresh_nodes: list[dict] = []
fetch_succeeded = False
try:
body = _fetch_mirror_payload_text()
if body:
fresh_nodes = _parse_mirror_payload(body)
res = fetch_with_curl(_SOURCE_URL, timeout=20)
if res and res.status_code == 200:
fresh_nodes = _parse_mirror_payload(res.text)
fetch_succeeded = True
else:
logger.warning("KiwiSDR fetch returned no usable mirror payload")
logger.warning(
f"KiwiSDR fetch returned HTTP {res.status_code if res else 'no response'}"
)
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.warning(f"KiwiSDR fetch exception: {e}")
+1 -11
View File
@@ -27,21 +27,11 @@ def fetch_liveuamap():
browser = p.chromium.launch(
headless=True, args=["--disable-blink-features=AutomationControlled"]
)
from services.network_utils import outbound_user_agent
# Per-install handle (no shared Shadowbroker product token). Stealth remains
# for Turnstile; see docs/OUTBOUND_DATA.md #348.
playwright_ua = (
f"Mozilla/5.0 (compatible; {outbound_user_agent('liveuamap')})"
)
context = browser.new_context(
user_agent=playwright_ua,
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
viewport={"width": 1920, "height": 1080},
color_scheme="dark",
)
# Bound navigation and script evaluation so a stuck region cannot hang the slow pool.
context.set_default_navigation_timeout(60_000)
context.set_default_timeout(30_000)
page = context.new_page()
stealth_sync(page)
-73
View File
@@ -1,73 +0,0 @@
"""LiveUAMap Playwright scraper opt-in (#348) — UI consent on Windows."""
from __future__ import annotations
import json
import logging
import os
import threading
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
_OPT_IN_FILE = Path(__file__).resolve().parent.parent / "data" / "liveuamap_scraper_opt_in.json"
_OPT_IN_LOCK = threading.Lock()
def _env_flag(name: str) -> str:
return str(os.getenv(name, "")).strip().lower()
def liveuamap_requires_ui_opt_in() -> bool:
"""Windows local installs need explicit consent before Playwright contacts LiveUAMap."""
return os.name == "nt"
def get_liveuamap_ui_opt_in() -> bool:
if not _OPT_IN_FILE.exists():
return False
try:
payload = json.loads(_OPT_IN_FILE.read_text(encoding="utf-8"))
return bool(payload.get("opted_in"))
except (OSError, json.JSONDecodeError, TypeError) as e:
logger.warning("LiveUAMap opt-in file unreadable: %s", e)
return False
def set_liveuamap_ui_opt_in(opted_in: bool) -> None:
_OPT_IN_FILE.parent.mkdir(parents=True, exist_ok=True)
with _OPT_IN_LOCK:
_OPT_IN_FILE.write_text(
json.dumps({"opted_in": bool(opted_in)}, indent=2),
encoding="utf-8",
)
def liveuamap_scraper_enabled() -> bool:
"""Whether the Playwright LiveUAMap scraper may run on this backend."""
setting = _env_flag("SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER")
if setting in {"1", "true", "yes", "on"}:
return True
if setting in {"0", "false", "no", "off"}:
return False
if not liveuamap_requires_ui_opt_in():
return True
return get_liveuamap_ui_opt_in()
def liveuamap_scraper_status() -> dict[str, Any]:
setting = _env_flag("SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER")
env_override = None
if setting in {"1", "true", "yes", "on"}:
env_override = "on"
elif setting in {"0", "false", "no", "off"}:
env_override = "off"
ui_opted_in = get_liveuamap_ui_opt_in()
requires = liveuamap_requires_ui_opt_in()
return {
"platform_requires_opt_in": requires,
"ui_opted_in": ui_opted_in,
"scraper_enabled": liveuamap_scraper_enabled(),
"env_override": env_override,
}
-109
View File
@@ -69,115 +69,6 @@ def _derive_peer_key(shared_secret: str, peer_url: str) -> bytes:
).digest()
# ---------------------------------------------------------------------------
# Issue #256 (tg12): per-peer HMAC secrets
# ---------------------------------------------------------------------------
#
# Before this change, ALL peer-push HMACs were derived from a single
# fleet-shared ``MESH_PEER_PUSH_SECRET``. The receiver could prove a
# request was signed by *someone who knows the fleet secret*, but it
# could NOT prove which peer signed it — any peer could compute the
# expected HMAC for any other peer's URL and impersonate that peer.
#
# Fix: an optional ``MESH_PEER_SECRETS`` env var maps specific peer URLs
# to per-peer secrets. When a peer URL is listed there, only that
# per-peer secret is accepted for that URL — the global secret is
# ignored for that peer. Peer A no longer learns peer B's secret, so
# peer A cannot forge a request claiming to be peer B.
#
# Backwards-compatible by design:
#
# - Single-peer installs (``MESH_PEER_SECRETS`` empty) keep using the
# global secret. Zero behavior change. Zero operator action required.
# - Multi-peer installs that haven't migrated yet keep using the global
# secret for every peer. Same behavior as before — same exposure.
# - Multi-peer installs that have migrated configure
# ``MESH_PEER_SECRETS=urlA=secretA,urlB=secretB`` and immediately get
# per-peer identity. Migration is incremental: peers not yet listed
# continue using the global secret until both sides of that peering
# add their entry.
_PEER_SECRETS_CACHE: dict[str, str] = {}
_PEER_SECRETS_CACHE_RAW: str = ""
def _lookup_per_peer_secret(normalized_url: str) -> str:
"""Return the per-peer secret for ``normalized_url`` from MESH_PEER_SECRETS.
Returns "" if no per-peer entry is configured for that URL. The parser
is forgiving:
- Whitespace around items, URLs, and secrets is stripped.
- Items without ``=`` or with empty URL/secret halves are skipped.
- The URL half is normalized via ``normalize_peer_url`` so config
authors don't have to match scheme/port/path quirks exactly.
The cache is invalidated whenever the env var's raw value changes,
which keeps tests' ``monkeypatch.setenv`` calls effective without
forcing a process restart.
"""
import os
raw = str(os.environ.get("MESH_PEER_SECRETS", "") or "").strip()
global _PEER_SECRETS_CACHE, _PEER_SECRETS_CACHE_RAW
if raw != _PEER_SECRETS_CACHE_RAW:
new_cache: dict[str, str] = {}
for chunk in raw.split(","):
chunk = chunk.strip()
if not chunk or "=" not in chunk:
continue
url_part, _, secret_part = chunk.partition("=")
normalized = normalize_peer_url(url_part.strip())
secret = secret_part.strip()
if normalized and secret:
new_cache[normalized] = secret
_PEER_SECRETS_CACHE = new_cache
_PEER_SECRETS_CACHE_RAW = raw
return _PEER_SECRETS_CACHE.get(normalized_url, "")
def resolve_peer_key_for_url(peer_url: str) -> bytes:
"""Return the HMAC key for ``peer_url``, preferring per-peer secret.
Issue #256: this is the function every peer-push call site should
use. It looks up the peer-specific secret first, falling back to the
fleet-shared ``MESH_PEER_PUSH_SECRET`` only when the URL is NOT
listed in ``MESH_PEER_SECRETS``.
Both sender (computing X-Peer-HMAC) and receiver (verifying it) call
this with the SENDER's URL — they must derive the same key, so
operators on both ends of a peering need matching MESH_PEER_SECRETS
entries for that URL to stay in sync.
Returns empty bytes when no usable secret exists. Callers must treat
that as fail-closed (skip the push, reject the verification).
"""
normalized_url = normalize_peer_url(peer_url)
if not normalized_url:
return b""
per_peer_secret = _lookup_per_peer_secret(normalized_url)
if per_peer_secret:
return _derive_peer_key(per_peer_secret, normalized_url)
# No per-peer entry for this URL — fall back to the legacy global
# secret. This is what preserves zero-hostility for single-peer
# installs and the migration window for multi-peer installs.
try:
from services.config import get_settings
global_secret = str(
getattr(get_settings(), "MESH_PEER_PUSH_SECRET", "") or ""
).strip()
except Exception:
return b""
if not global_secret:
return b""
return _derive_peer_key(global_secret, normalized_url)
def _node_digest(public_key_b64: str) -> str:
raw = base64.b64decode(public_key_b64)
return hashlib.sha256(raw).hexdigest()
-293
View File
@@ -317,39 +317,6 @@ class DMRelay:
def _self_mailbox_limit(self) -> int:
return max(1, int(self._settings().MESH_DM_SELF_MAILBOX_LIMIT))
def _per_sender_pending_limit(self) -> int:
"""Anti-spam cap on UNACKED messages a single sender can have parked
in a single recipient mailbox at any one time. See ``config.py``
``MESH_DM_PENDING_PER_SENDER_LIMIT`` for the threat model this
rule is enforced both at ``deposit`` (local) and at
``accept_replica`` (peer push acceptance), making it a network
rule rather than a client-side honor system."""
try:
limit = int(getattr(self._settings(), "MESH_DM_PENDING_PER_SENDER_LIMIT", 2) or 2)
except (TypeError, ValueError):
limit = 2
return max(1, limit)
def _per_sender_pending_count(
self,
*,
mailbox_key: str,
sender_block_ref: str,
) -> int:
"""Count UNACKED messages from ``sender_block_ref`` currently parked
in ``mailbox_key``. Caller already holds ``self._lock``.
Messages that have been claimed/acked are removed from the mailbox
list (see ``claim_message_ids``), so anything still here is by
definition unacked. We count by exact ``sender_block_ref`` match
that's the per-pair sender identity used for blocking too, so
the cap is naturally per-(sender, recipient).
"""
if not mailbox_key or not sender_block_ref:
return 0
messages = self._mailboxes.get(mailbox_key, [])
return sum(1 for m in messages if m.sender_block_ref == sender_block_ref)
def _nonce_ttl_seconds(self) -> int:
return max(30, int(self._settings().MESH_DM_NONCE_TTL_S))
@@ -1548,29 +1515,6 @@ class DMRelay:
if len(self._mailboxes[mailbox_key]) >= self._mailbox_limit_for_class(delivery_class):
metrics_inc("dm_drop_full")
return {"ok": False, "detail": "Recipient mailbox full"}
# Anti-spam: per-(sender, recipient) cap on unacked messages.
# A sender who already has the configured number of messages
# parked in this mailbox can't deposit more until the recipient
# pulls (acks) at least one. The same cap is re-enforced on
# inbound replication in ``accept_replica`` so this rule isn't
# bypassable by patching out the local check on a hostile
# sender's relay — see config.py
# MESH_DM_PENDING_PER_SENDER_LIMIT for the threat model.
per_sender_limit = self._per_sender_pending_limit()
pending = self._per_sender_pending_count(
mailbox_key=mailbox_key,
sender_block_ref=sender_block_ref,
)
if pending >= per_sender_limit:
metrics_inc("dm_drop_per_sender_cap")
return {
"ok": False,
"detail": (
f"Recipient already has {pending} unread message"
f"{'s' if pending != 1 else ''} from you. Wait for "
"them to read your messages before sending more."
),
}
if not msg_id:
msg_id = f"dm_{int(time.time() * 1000)}_{secrets.token_hex(6)}"
elif any(m.msg_id == msg_id for m in self._mailboxes[mailbox_key]):
@@ -1595,245 +1539,8 @@ class DMRelay:
)
self._stats["messages_in_memory"] = sum(len(v) for v in self._mailboxes.values())
self._save()
# Cross-node mailbox replication: push the freshly-stored
# envelope to every authenticated relay peer so the recipient
# can log into ANY node and find their messages. The push is
# async (fire-and-forget thread) so deposit() returns
# immediately — slow Tor peers can't block the sender's UX.
# Each receiving peer re-enforces the per-sender cap on
# acceptance, so hostile relays can't widen the cap.
try:
envelope_for_push = self.envelope_for_replication(
mailbox_key=mailbox_key, msg_id=msg_id,
)
if envelope_for_push:
self._replicate_envelope_to_peers_async(
envelope=envelope_for_push,
)
except Exception:
metrics_inc("dm_replication_push_error")
return {"ok": True, "msg_id": msg_id}
def accept_replica(
self,
*,
envelope: dict[str, Any],
originating_peer_url: str = "",
) -> dict[str, Any]:
"""Receive a DM envelope replicated from a peer relay.
Cross-node mailbox replication entry point. When a sender's local
relay accepts a ``deposit`` and pushes the envelope to
``MESH_RELAY_PEERS`` (so the recipient can log into any peer
node and find their messages), each receiving peer calls
``accept_replica`` to ingest it.
The per-(sender, recipient) cap is re-enforced HERE. That's what
makes the rule a NETWORK rule rather than a client-side honor
system: a hostile sender who patches out the local ``deposit``
check still can't get a 3rd unacked message to spread, because
every honest peer enforces the same cap on inbound replicas.
Result: hostile relays can hold extras locally, but those extras
never reach any node a legitimate recipient is polling from.
Returns the same shape as ``deposit`` so the calling endpoint can
forward the result back to the originating peer.
"""
if not isinstance(envelope, dict):
return {"ok": False, "detail": "envelope must be an object"}
msg_id = str(envelope.get("msg_id", "") or "").strip()
mailbox_key = str(envelope.get("mailbox_key", "") or "").strip()
sender_block_ref = str(envelope.get("sender_block_ref", "") or "").strip()
ciphertext = str(envelope.get("ciphertext", "") or "")
if not msg_id or not mailbox_key or not sender_block_ref or not ciphertext:
return {"ok": False, "detail": "envelope missing required fields"}
with self._lock:
self._refresh_from_shared_relay()
self._cleanup_expired()
# Idempotent — if we already hold this exact msg_id, the
# replication round-tripped or a peer pushed the same
# envelope through multiple paths. Accept silently.
if any(m.msg_id == msg_id for m in self._mailboxes.get(mailbox_key, [])):
metrics_inc("dm_replica_duplicate")
return {"ok": True, "msg_id": msg_id, "duplicate": True}
# Same per-class cap as the deposit path — defense in depth
# against a peer that wraps a "deposit" as a "replica" to
# bypass the class limit.
delivery_class = str(envelope.get("delivery_class", "") or "")
if delivery_class in ("request", "shared", "self"):
class_limit = self._mailbox_limit_for_class(delivery_class)
else:
class_limit = self._shared_mailbox_limit()
if len(self._mailboxes.get(mailbox_key, [])) >= class_limit:
metrics_inc("dm_replica_drop_full")
return {"ok": False, "detail": "Recipient mailbox full"}
# THE network rule: per-(sender, recipient) anti-spam cap.
per_sender_limit = self._per_sender_pending_limit()
pending = self._per_sender_pending_count(
mailbox_key=mailbox_key,
sender_block_ref=sender_block_ref,
)
if pending >= per_sender_limit:
metrics_inc("dm_replica_drop_per_sender_cap")
# Returning a structured rejection — the sender's relay
# learns its envelope was rejected by an honest peer and
# can stop trying to push it.
return {
"ok": False,
"detail": (
"Per-sender cap reached on this relay; refusing replica"
),
"cap_violation": True,
"pending": pending,
"limit": per_sender_limit,
}
# Accept the replica into the local mailbox.
self._mailboxes[mailbox_key].append(
DMMessage(
sender_id=str(envelope.get("sender_id", "") or ""),
ciphertext=ciphertext,
timestamp=float(envelope.get("timestamp", time.time()) or time.time()),
msg_id=msg_id,
delivery_class=str(envelope.get("delivery_class", "shared") or "shared"),
sender_seal=str(envelope.get("sender_seal", "") or ""),
relay_salt=str(envelope.get("relay_salt", "") or ""),
sender_block_ref=sender_block_ref,
payload_format=str(envelope.get("payload_format", "dm1") or "dm1"),
session_welcome=str(envelope.get("session_welcome", "") or ""),
)
)
self._stats["messages_in_memory"] = sum(len(v) for v in self._mailboxes.values())
self._save()
metrics_inc("dm_replica_accepted")
return {"ok": True, "msg_id": msg_id}
def _replicate_envelope_to_peers_async(
self,
*,
envelope: dict[str, Any],
) -> None:
"""Push an outbound DM envelope to every authenticated relay peer.
Fire-and-forget: spawned in a background thread so ``deposit``
returns to the caller immediately. Per-peer errors are logged
and swallowed the sender's UX must not block on slow Tor
peers, and a peer that's down today gets the next message
whenever it comes back. Inbound recipient polling from a healthy
peer keeps the system functional during peer failures.
Each peer is authed with the existing per-peer HMAC pattern
(#256) — same headers and key resolver gate-message replication
uses, so a hostile node that doesn't know any peer's HMAC key
can't impersonate a legitimate relay.
"""
import threading
def _do_push():
try:
import hashlib
import hmac
import requests as _requests
from services.mesh.mesh_crypto import (
normalize_peer_url,
resolve_peer_key_for_url,
)
from services.mesh.mesh_router import (
authenticated_push_peer_urls,
)
peers = authenticated_push_peer_urls()
if not peers:
return
payload = json.dumps(
{"envelope": envelope},
separators=(",", ":"),
ensure_ascii=False,
).encode("utf-8")
timeout = max(
1,
int(getattr(self._settings(), "MESH_RELAY_PUSH_TIMEOUT_S", 10) or 10),
)
for peer_url in peers:
try:
normalized = normalize_peer_url(peer_url)
headers = {"Content-Type": "application/json"}
peer_key = resolve_peer_key_for_url(normalized)
if peer_key:
headers["X-Peer-Url"] = normalized
headers["X-Peer-HMAC"] = hmac.new(
peer_key, payload, hashlib.sha256
).hexdigest()
url = f"{peer_url}/api/mesh/dm/replicate-envelope"
resp = _requests.post(
url, data=payload, timeout=timeout, headers=headers,
)
if resp.status_code == 200:
metrics_inc("dm_replication_push_ok")
else:
# 4xx including the structured cap_violation
# rejection from accept_replica — sender's
# relay learns and stops retrying this msg_id.
metrics_inc("dm_replication_push_rejected")
except Exception:
# Per-peer failure is non-fatal — log to metrics
# but don't break the loop. Other peers and a
# future retry can still propagate the envelope.
metrics_inc("dm_replication_push_error")
continue
except Exception:
# Outer guard — never let replication errors propagate
# back to the sender's deposit() caller.
metrics_inc("dm_replication_push_error")
thread = threading.Thread(
target=_do_push,
name="dm-replicate-push",
daemon=True,
)
thread.start()
def envelope_for_replication(
self,
*,
mailbox_key: str,
msg_id: str,
) -> dict[str, Any] | None:
"""Return the wire-form envelope for a stored message, suitable
for POSTing to a peer relay's replicate-envelope endpoint.
Returns ``None`` if the message isn't in the mailbox (already
acked, expired, never existed). The caller holds the
responsibility for transport security (Tor SOCKS for .onion
peers, per-peer HMAC) and for not leaking the envelope to
clearnet peers when private transport is required.
"""
with self._lock:
for m in self._mailboxes.get(mailbox_key, []):
if m.msg_id == msg_id:
return {
"msg_id": m.msg_id,
"mailbox_key": mailbox_key,
"sender_id": m.sender_id,
"sender_block_ref": m.sender_block_ref,
"sender_seal": m.sender_seal,
"ciphertext": m.ciphertext,
"timestamp": m.timestamp,
"delivery_class": m.delivery_class,
"relay_salt": m.relay_salt,
"payload_format": m.payload_format,
"session_welcome": m.session_welcome,
}
return None
def is_blocked(self, recipient_id: str, sender_id: str) -> bool:
with self._lock:
self._refresh_from_shared_relay()
+90 -530
View File
@@ -33,9 +33,8 @@ Each event contains:
Persistence: JSON file at backend/data/infonet.json
Encrypted gate chat events are private-chain ciphertext records. They are
excluded from public read surfaces and replicated only over private Infonet
transports.
Encrypted gate chat events are intentionally kept off the public chain and
persisted separately via GateMessageStore.
"""
import json
@@ -65,8 +64,6 @@ from services.mesh.mesh_schema import (
ACTIVE_PUBLIC_LEDGER_EVENT_TYPES,
PUBLIC_LEDGER_EVENT_TYPES,
validate_event_payload,
validate_private_dm_ledger_payload,
validate_private_gate_ledger_payload,
validate_protocol_fields,
validate_public_ledger_payload,
)
@@ -130,12 +127,6 @@ GATE_SEGMENT_MAX_COMPRESSED_BYTES = max(
int(os.environ.get("MESH_GATE_SEGMENT_MAX_COMPRESSED_BYTES", str(2 * 1024 * 1024)) or str(2 * 1024 * 1024)),
)
GATE_SEGMENT_STORAGE_VERSION = 1
DM_HASHCHAIN_SPOOL_LIMIT = max(1, int(os.environ.get("MESH_DM_HASHCHAIN_SPOOL_LIMIT", "2") or "2"))
DM_HASHCHAIN_SPOOL_SENDER_LIMIT = max(
1,
int(os.environ.get("MESH_DM_HASHCHAIN_SPOOL_SENDER_LIMIT", "1") or "1"),
)
DM_HASHCHAIN_SPOOL_TTL_S = max(60, int(os.environ.get("MESH_DM_HASHCHAIN_SPOOL_TTL_S", "3600") or "3600"))
_PUBLIC_EVENT_APPEND_HOOKS: list[Any] = []
_PUBLIC_EVENT_APPEND_HOOKS_LOCK = threading.Lock()
@@ -225,19 +216,18 @@ def _peer_pair_ref_key(peer_url: str) -> bytes:
Returns an empty key on misconfiguration so callers fail closed.
"""
try:
from services.mesh.mesh_crypto import (
normalize_peer_url,
resolve_peer_key_for_url,
)
from services.config import get_settings
from services.mesh.mesh_crypto import _derive_peer_key, normalize_peer_url
secret = str(get_settings().MESH_PEER_PUSH_SECRET or "").strip()
except Exception:
return b""
if not secret:
return b""
normalized = normalize_peer_url(peer_url or "")
if not normalized:
return b""
# Issue #256: resolve_peer_key_for_url() prefers per-peer secrets
# from MESH_PEER_SECRETS and falls back to the global
# MESH_PEER_PUSH_SECRET only when the URL has no per-peer entry.
peer_key = resolve_peer_key_for_url(normalized)
peer_key = _derive_peer_key(secret, normalized)
if not peer_key:
return b""
# Domain-separate from the transport HMAC key so the two
@@ -349,32 +339,6 @@ def _private_gate_event_id(
).hexdigest()
def _private_gate_signature_payload_variants(gate_id: str, event: dict[str, Any]) -> list[dict[str, Any]]:
payload = _private_gate_signature_payload(gate_id, event)
variants: list[dict[str, Any]] = [payload]
event_payload = event.get("payload") if isinstance(event.get("payload"), dict) else {}
reply_to = str(event_payload.get("reply_to", "") or "").strip()
if reply_to:
variants.append(_private_gate_signature_payload(gate_id, event, include_reply_to=False))
if "epoch" in payload:
no_epoch = dict(payload)
no_epoch.pop("epoch", None)
variants.append(no_epoch)
if reply_to:
no_epoch_no_reply = _private_gate_signature_payload(gate_id, event, include_reply_to=False)
no_epoch_no_reply.pop("epoch", None)
variants.append(no_epoch_no_reply)
deduped: list[dict[str, Any]] = []
seen: set[str] = set()
for variant in variants:
material = json.dumps(variant, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
if material in seen:
continue
seen.add(material)
deduped.append(variant)
return deduped
def _sanitize_private_gate_event(gate_id: str, event: dict[str, Any]) -> dict[str, Any]:
payload = event.get("payload") if isinstance(event.get("payload"), dict) else {}
sanitized = {
@@ -1603,18 +1567,11 @@ class Infonet:
def _rebuild_state(self) -> None:
self.event_index = {}
self.node_sequences = {}
# Keep private signed-write replay domains that are not represented
# on-chain, but rebuild the gate_message sequence domain from chain
# events so reloads/fork application do not mix it with public
# per-node message sequences.
preserved_domains = {}
if isinstance(getattr(self, "sequence_domains", None), dict):
preserved_domains = {
key: value
for key, value in self.sequence_domains.items()
if not str(key or "").endswith("|gate_message")
}
self.sequence_domains = dict(preserved_domains)
# Keep private signed-write replay domains across public-chain
# rebuilds; these domains protect local side effects that are not
# represented as public Infonet events.
if not isinstance(getattr(self, "sequence_domains", None), dict):
self.sequence_domains = {}
self.public_key_bindings = {}
self.revocations = {}
self._replay_filter = ReplayFilter()
@@ -1626,12 +1583,9 @@ class Infonet:
node_id = evt.get("node_id", "")
sequence = _safe_int(evt.get("sequence", 0) or 0, 0)
if node_id and sequence:
sequence_table, sequence_key = self._sequence_table_for_event(
evt.get("event_type", ""), node_id
)
last = sequence_table.get(sequence_key, 0)
last = self.node_sequences.get(node_id, 0)
if sequence > last:
sequence_table[sequence_key] = sequence
self.node_sequences[node_id] = sequence
public_key = str(evt.get("public_key", "") or "")
if public_key and node_id:
existing = self.public_key_bindings.get(public_key)
@@ -1943,295 +1897,6 @@ class Infonet:
self._save()
return True, "ok"
def _sequence_table_for_event(self, event_type: str, node_id: str) -> tuple[dict[str, int], str]:
normalized = str(event_type or "").strip().lower()
if normalized == "gate_message":
return self.sequence_domains, f"{node_id}|gate_message"
if normalized == "dm_message":
return self.sequence_domains, f"{node_id}|dm_message"
return self.node_sequences, node_id
def _dm_spool_target_key(self, payload: dict[str, Any]) -> tuple[str, str]:
delivery_class = str(payload.get("delivery_class", "") or "").strip().lower()
if delivery_class == "shared":
key = str(payload.get("recipient_token", "") or "").strip()
else:
key = str(payload.get("recipient_id", "") or "").strip()
return delivery_class, key
def _dm_spool_active_counts(
self,
payload: dict[str, Any],
*,
sender_id: str = "",
now: float | None = None,
) -> tuple[int, int]:
delivery_class, key = self._dm_spool_target_key(payload)
if not key:
return 0, 0
sender_id = str(sender_id or "").strip()
current = time.time() if now is None else float(now)
total_count = 0
sender_count = 0
for evt in reversed(self.events):
if evt.get("event_type") != "dm_message":
continue
evt_payload = evt.get("payload") if isinstance(evt.get("payload"), dict) else {}
evt_delivery_class, evt_key = self._dm_spool_target_key(evt_payload)
if evt_delivery_class != delivery_class:
continue
if evt_key != key:
continue
evt_ts = float(evt_payload.get("timestamp", evt.get("timestamp", 0)) or 0)
if evt_ts > 0 and current - evt_ts > DM_HASHCHAIN_SPOOL_TTL_S:
continue
total_count += 1
if sender_id and str(evt.get("node_id", "") or "").strip() == sender_id:
sender_count += 1
if total_count >= DM_HASHCHAIN_SPOOL_LIMIT and (
not sender_id or sender_count >= DM_HASHCHAIN_SPOOL_SENDER_LIMIT
):
break
return total_count, sender_count
def _dm_spool_active_count(self, payload: dict[str, Any], *, now: float | None = None) -> int:
total_count, _sender_count = self._dm_spool_active_counts(payload, now=now)
return total_count
def append_private_dm_message(
self,
*,
node_id: str,
payload: dict,
signature: str,
sequence: int,
public_key: str,
public_key_algo: str,
protocol_version: str = "",
timestamp: float = 0,
) -> dict:
"""Append an encrypted DM dead-drop message to the private Infonet ledger.
The event is a small offline spool, capped per mailbox target, so the
hashchain can carry a couple of sealed DMs without becoming an
unbounded global mailbox.
"""
event_type = "dm_message"
if sequence <= 0:
raise ValueError("sequence is required and must be > 0")
sequence_table, sequence_key = self._sequence_table_for_event(event_type, node_id)
last = sequence_table.get(sequence_key, 0)
if sequence <= last:
raise ValueError(f"Replay detected: sequence {sequence} <= last {last}")
raw_payload = dict(payload or {})
if "message" in raw_payload or "plaintext" in raw_payload or "_local_plaintext" in raw_payload:
raise ValueError("private DM ledger payload must not contain plaintext")
if str(raw_payload.get("transport_lock", "") or "").strip().lower() != "private_strong":
raise ValueError("DM hashchain spool requires private_strong transport_lock")
payload = normalize_payload(event_type, raw_payload)
ok, reason = validate_private_dm_ledger_payload(payload)
if not ok:
raise ValueError(reason)
total_count, sender_count = self._dm_spool_active_counts(payload, sender_id=node_id)
if sender_count >= DM_HASHCHAIN_SPOOL_SENDER_LIMIT:
raise ValueError("DM hashchain sender spool full for recipient")
if total_count >= DM_HASHCHAIN_SPOOL_LIMIT:
raise ValueError("DM hashchain spool full for recipient")
payload_json = json.dumps(payload, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
if len(payload_json.encode("utf-8")) > MAX_PAYLOAD_BYTES:
raise ValueError("payload exceeds max size")
protocol_version = str(protocol_version or PROTOCOL_VERSION)
ok, reason = validate_protocol_fields(protocol_version, NETWORK_ID)
if not ok:
raise ValueError(reason)
if not (signature and public_key and public_key_algo):
raise ValueError("Missing signature fields")
algo = parse_public_key_algo(public_key_algo)
if not algo:
raise ValueError("Unsupported public_key_algo")
if not verify_node_binding(node_id, public_key):
raise ValueError("node_id mismatch")
bound, bind_reason = self._bind_public_key(public_key, node_id)
if not bound:
raise ValueError(bind_reason)
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=sequence,
payload=payload,
)
if not verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
raise ValueError("Invalid signature")
revoked, _info = self._revocation_status(public_key)
if revoked:
raise ValueError("public key is revoked")
event = ChainEvent(
prev_hash=self.head_hash,
event_type=event_type,
node_id=node_id,
payload=payload,
timestamp=float(timestamp or time.time()),
sequence=sequence,
signature=signature,
public_key=public_key,
public_key_algo=public_key_algo,
protocol_version=protocol_version,
)
event_dict = event.to_dict()
self._write_wal(event_dict)
self.events.append(event_dict)
self.event_index[event.event_id] = len(self.events) - 1
self.head_hash = event.event_id
sequence_table[sequence_key] = sequence
self._replay_filter.add(event.event_id)
self._invalidate_merkle_cache()
self._update_counters_for_event(event_dict)
self._save()
try:
from services.mesh.mesh_rns import rns_bridge
rns_bridge.publish_event(event_dict)
except Exception:
pass
_notify_public_event_append_hooks(event_dict)
logger.info(
f"Infonet append [dm_message] by {_redact_node(node_id)} seq={sequence} "
f"id={event.event_id[:16]}..."
)
return event_dict
def append_private_gate_message(
self,
*,
node_id: str,
payload: dict,
signature: str,
sequence: int,
public_key: str,
public_key_algo: str,
protocol_version: str = "",
timestamp: float = 0,
) -> dict:
"""Append an encrypted gate message to the private Infonet ledger.
Gate messages use their own sequence domain so a gate post cannot
consume or replay-block the author's public broadcast sequence.
"""
event_type = "gate_message"
if sequence <= 0:
raise ValueError("sequence is required and must be > 0")
sequence_table, sequence_key = self._sequence_table_for_event(event_type, node_id)
last = sequence_table.get(sequence_key, 0)
if sequence <= last:
raise ValueError(f"Replay detected: sequence {sequence} <= last {last}")
raw_payload = dict(payload or {})
if "message" in raw_payload or "_local_plaintext" in raw_payload or "_local_reply_to" in raw_payload:
raise ValueError("private gate ledger payload must not contain plaintext")
if str(raw_payload.get("transport_lock", "") or "").strip().lower() != "private_strong":
raise ValueError("gate messages require private_strong transport_lock")
payload = normalize_payload(event_type, raw_payload)
ok, reason = validate_private_gate_ledger_payload(payload)
if not ok:
raise ValueError(reason)
payload_json = json.dumps(payload, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
if len(payload_json.encode("utf-8")) > MAX_PAYLOAD_BYTES:
raise ValueError("payload exceeds max size")
protocol_version = str(protocol_version or PROTOCOL_VERSION)
ok, reason = validate_protocol_fields(protocol_version, NETWORK_ID)
if not ok:
raise ValueError(reason)
if not (signature and public_key and public_key_algo):
raise ValueError("Missing signature fields")
algo = parse_public_key_algo(public_key_algo)
if not algo:
raise ValueError("Unsupported public_key_algo")
if not verify_node_binding(node_id, public_key):
raise ValueError("node_id mismatch")
bound, bind_reason = self._bind_public_key(public_key, node_id)
if not bound:
raise ValueError(bind_reason)
event_for_signature = {"payload": payload}
signature_ok = False
for signature_payload in _private_gate_signature_payload_variants(
str(payload.get("gate", "") or ""),
event_for_signature,
):
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=sequence,
payload=signature_payload,
)
if verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
signature_ok = True
break
if not signature_ok:
raise ValueError("Invalid signature")
revoked, _info = self._revocation_status(public_key)
if revoked:
raise ValueError("public key is revoked")
event = ChainEvent(
prev_hash=self.head_hash,
event_type=event_type,
node_id=node_id,
payload=payload,
timestamp=float(timestamp or time.time()),
sequence=sequence,
signature=signature,
public_key=public_key,
public_key_algo=public_key_algo,
protocol_version=protocol_version,
)
event_dict = event.to_dict()
self._write_wal(event_dict)
self.events.append(event_dict)
self.event_index[event.event_id] = len(self.events) - 1
self.head_hash = event.event_id
sequence_table[sequence_key] = sequence
self._replay_filter.add(event.event_id)
self._invalidate_merkle_cache()
self._update_counters_for_event(event_dict)
self._save()
try:
from services.mesh.mesh_rns import rns_bridge
rns_bridge.publish_event(event_dict)
except Exception:
pass
_notify_public_event_append_hooks(event_dict)
logger.info(
f"Infonet append [gate_message] by {_redact_node(node_id)} seq={sequence} "
f"id={event.event_id[:16]}..."
)
return event_dict
def append(
self,
event_type: str,
@@ -2412,18 +2077,6 @@ class Infonet:
if not event_id or not prev_hash:
rejected.append({"index": idx, "reason": "Missing event_id or prev_hash"})
continue
if event_id in self.event_index:
duplicates += 1
continue
if self._replay_filter.seen(event_id):
try:
from services.mesh.mesh_metrics import increment as metrics_inc
metrics_inc("ingest_replay_seen")
except Exception:
pass
duplicates += 1
continue
if prev_hash != expected_prev:
try:
from services.mesh.mesh_metrics import increment as metrics_inc
@@ -2442,14 +2095,25 @@ class Infonet:
pass
rejected.append({"index": idx, "reason": "network_id mismatch"})
continue
if event_id in self.event_index:
duplicates += 1
continue
if self._replay_filter.seen(event_id):
try:
from services.mesh.mesh_metrics import increment as metrics_inc
metrics_inc("ingest_replay_seen")
except Exception:
pass
duplicates += 1
continue
if prev_hash != self.head_hash:
rejected.append({"index": idx, "reason": "prev_hash does not match head"})
continue
if sequence <= 0:
rejected.append({"index": idx, "reason": "Invalid sequence"})
continue
sequence_table, sequence_key = self._sequence_table_for_event(event_type, node_id)
last = sequence_table.get(sequence_key, 0)
last = self.node_sequences.get(node_id, 0)
if sequence <= last:
rejected.append({"index": idx, "reason": "Replay detected"})
continue
@@ -2484,18 +2148,7 @@ class Infonet:
if not ok:
rejected.append({"index": idx, "reason": reason})
continue
if event_type == "gate_message":
ok, reason = validate_private_gate_ledger_payload(payload)
elif event_type == "dm_message":
ok, reason = validate_private_dm_ledger_payload(payload)
if ok:
total_count, sender_count = self._dm_spool_active_counts(payload, sender_id=str(evt.get("node_id", "") or ""))
if sender_count >= DM_HASHCHAIN_SPOOL_SENDER_LIMIT:
ok, reason = False, "DM hashchain sender spool full for recipient"
elif total_count >= DM_HASHCHAIN_SPOOL_LIMIT:
ok, reason = False, "DM hashchain spool full for recipient"
else:
ok, reason = validate_public_ledger_payload(event_type, payload)
ok, reason = validate_public_ledger_payload(event_type, payload)
if not ok:
rejected.append({"index": idx, "reason": reason})
continue
@@ -2571,7 +2224,7 @@ class Infonet:
pass
rejected.append({"index": idx, "reason": "public key is revoked"})
continue
last_seq = sequence_table.get(sequence_key, 0)
last_seq = self.node_sequences.get(node_id, 0)
if sequence <= last_seq:
try:
from services.mesh.mesh_metrics import increment as metrics_inc
@@ -2607,30 +2260,18 @@ class Infonet:
rejected.append({"index": idx, "reason": bind_reason})
continue
if event_type == "gate_message":
signature_payloads = _private_gate_signature_payload_variants(
str(payload.get("gate", "") or ""),
evt,
)
else:
signature_payloads = [payload]
signature_ok = False
for signature_payload in signature_payloads:
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=sequence,
payload=signature_payload,
)
if verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
signature_ok = True
break
if not signature_ok:
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=sequence,
payload=payload,
)
if not verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
try:
from services.mesh.mesh_metrics import increment as metrics_inc
@@ -2660,7 +2301,7 @@ class Infonet:
self.events.append(evt)
self.event_index[event_id] = len(self.events) - 1
self.head_hash = event_id
sequence_table[sequence_key] = sequence
self.node_sequences[node_id] = sequence
self._update_counters_for_event(evt)
accepted += 1
expected_prev = event_id
@@ -2723,7 +2364,6 @@ class Infonet:
verify_node_binding,
)
event_type = evt_dict.get("event_type", "")
node_id = evt_dict.get("node_id", "")
if not parse_public_key_algo(public_key_algo):
return False, f"Unsupported public_key_algo at index {i}"
@@ -2734,41 +2374,21 @@ class Infonet:
return False, f"public key binding conflict at index {i}"
seen_public_keys[public_key] = node_id
payload = evt_dict.get("payload", {})
if event_type == "gate_message":
ok, reason = validate_private_gate_ledger_payload(payload)
if not ok:
return False, f"Invalid gate_message payload at index {i}: {reason}"
signature_payloads = _private_gate_signature_payload_variants(
str(payload.get("gate", "") or ""),
evt_dict,
)
elif event_type == "dm_message":
ok, reason = validate_private_dm_ledger_payload(payload)
if not ok:
return False, f"Invalid dm_message payload at index {i}: {reason}"
signature_payloads = [normalize_payload(event_type, payload)]
else:
signature_payloads = [
normalize_payload(event_type, payload)
]
signature_ok = False
for signature_payload in signature_payloads:
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
payload=signature_payload,
)
if verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
signature_ok = True
break
if not signature_ok:
normalized = normalize_payload(
evt_dict.get("event_type", ""), evt_dict.get("payload", {})
)
sig_payload = build_signature_payload(
event_type=evt_dict.get("event_type", ""),
node_id=node_id,
sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
payload=normalized,
)
if not verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
return False, f"Invalid signature at index {i}"
prev = evt_dict["event_id"]
@@ -2833,48 +2453,27 @@ class Infonet:
verify_node_binding,
)
event_type = evt_dict.get("event_type", "")
node_id = evt_dict.get("node_id", "")
if not parse_public_key_algo(public_key_algo):
return False, f"Unsupported public_key_algo at index {i}"
if not verify_node_binding(node_id, public_key):
return False, f"node_id mismatch at index {i}"
payload = evt_dict.get("payload", {})
if event_type == "gate_message":
ok, reason = validate_private_gate_ledger_payload(payload)
if not ok:
return False, f"Invalid gate_message payload at index {i}: {reason}"
signature_payloads = _private_gate_signature_payload_variants(
str(payload.get("gate", "") or ""),
evt_dict,
)
elif event_type == "dm_message":
ok, reason = validate_private_dm_ledger_payload(payload)
if not ok:
return False, f"Invalid dm_message payload at index {i}: {reason}"
signature_payloads = [normalize_payload(event_type, payload)]
else:
signature_payloads = [
normalize_payload(event_type, payload)
]
signature_ok = False
for signature_payload in signature_payloads:
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
payload=signature_payload,
)
if verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
signature_ok = True
break
if not signature_ok:
normalized = normalize_payload(
evt_dict.get("event_type", ""), evt_dict.get("payload", {})
)
sig_payload = build_signature_payload(
event_type=evt_dict.get("event_type", ""),
node_id=node_id,
sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
payload=normalized,
)
if not verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
return False, f"Invalid signature at index {i}"
prev = evt_dict["event_id"]
@@ -2938,14 +2537,7 @@ class Infonet:
node_id = evt.get("node_id", "")
sequence = _safe_int(evt.get("sequence", 0) or 0, 0)
if node_id and sequence:
sequence_key = (
f"{node_id}|gate_message"
if str(evt.get("event_type", "") or "").strip().lower() == "gate_message"
else f"{node_id}|dm_message"
if str(evt.get("event_type", "") or "").strip().lower() == "dm_message"
else node_id
)
last_seq[sequence_key] = max(last_seq.get(sequence_key, 0), sequence)
last_seq[node_id] = max(last_seq.get(node_id, 0), sequence)
public_key = str(evt.get("public_key", "") or "")
if public_key and node_id:
seen_public_keys.setdefault(public_key, node_id)
@@ -2965,21 +2557,8 @@ class Infonet:
existing_idx = self.event_index.get(event_id)
if existing_idx is not None and existing_idx <= prev_index:
return False, "duplicate event_id"
if event_type == "gate_message":
payload = dict(payload or {})
elif event_type == "dm_message":
payload = normalize_payload(event_type, dict(payload or {}))
else:
payload = normalize_payload(event_type, dict(payload or {}))
payload = normalize_payload(event_type, dict(payload or {}))
ok, reason = validate_event_payload(event_type, payload)
if not ok:
return False, reason
if event_type == "gate_message":
ok, reason = validate_private_gate_ledger_payload(payload)
elif event_type == "dm_message":
ok, reason = validate_private_dm_ledger_payload(payload)
else:
ok, reason = validate_public_ledger_payload(event_type, payload)
if not ok:
return False, reason
proto = evt.get("protocol_version") or PROTOCOL_VERSION
@@ -2993,14 +2572,7 @@ class Infonet:
revoked, _info = self._revocation_status(public_key)
if revoked and event_type != "key_revoke":
return False, "public key revoked"
sequence_key = (
f"{node_id}|gate_message"
if event_type == "gate_message"
else f"{node_id}|dm_message"
if event_type == "dm_message"
else node_id
)
last = last_seq.get(sequence_key, 0)
last = last_seq.get(node_id, 0)
if sequence <= last:
return False, "sequence replay"
from services.mesh.mesh_crypto import (
@@ -3018,35 +2590,23 @@ class Infonet:
if existing and existing != node_id:
return False, "public key binding conflict"
seen_public_keys[public_key] = node_id
if event_type == "gate_message":
signature_payloads = _private_gate_signature_payload_variants(
str(payload.get("gate", "") or ""),
evt,
)
else:
signature_payloads = [payload]
signature_ok = False
for signature_payload in signature_payloads:
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=sequence,
payload=signature_payload,
)
if verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
signature_ok = True
break
if not signature_ok:
sig_payload = build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=sequence,
payload=payload,
)
if not verify_signature(
public_key_b64=public_key,
public_key_algo=public_key_algo,
signature_hex=signature,
payload=sig_payload,
):
return False, "invalid signature"
computed = ChainEvent.from_dict(evt).event_id
if computed != event_id:
return False, "event_id mismatch"
last_seq[sequence_key] = sequence
last_seq[node_id] = sequence
# Apply fork
self.events = prefix + ordered
@@ -2,64 +2,10 @@ from __future__ import annotations
import time
from dataclasses import asdict, dataclass
from email.utils import parsedate_to_datetime
from datetime import timezone
from services.mesh.mesh_peer_store import PeerRecord
class PeerSyncRateLimited(Exception):
"""Upstream peer returned HTTP 429 — Too Many Requests.
Carries the ``Retry-After`` header value (parsed to seconds) so
the caller can pass it to ``finish_sync(retry_after_s=...)`` and
actually wait that long instead of hammering the upstream every
60s and keeping its rate-limit bucket full.
``retry_after_s`` is 0 when the upstream didn't provide a header.
Caller should still apply the exponential backoff in that case.
"""
def __init__(self, message: str, retry_after_s: int = 0, status: int = 429):
super().__init__(message)
self.retry_after_s = max(0, int(retry_after_s or 0))
self.status = int(status or 429)
def parse_retry_after_header(header_value: str, *, now: float | None = None) -> int:
"""Parse the ``Retry-After`` HTTP header.
Two valid forms per RFC 7231 §7.1.3:
* Delay-seconds: a non-negative integer (e.g. ``Retry-After: 120``)
* HTTP-date: an absolute time (e.g. ``Retry-After: Wed, 21 Oct 2026 07:28:00 GMT``)
Returns the wait in **seconds from now**. Unparseable / empty headers
return 0 (caller falls back to exponential backoff). Clamped at a
sane upper bound (1 hour) so a typo'd or hostile peer can't pin us
silent for days.
"""
value = str(header_value or "").strip()
if not value:
return 0
upper_bound = 3600 # never trust a peer to silence us > 1h
# Form 1: pure integer seconds.
if value.isdigit():
return min(max(0, int(value)), upper_bound)
# Form 2: HTTP-date.
try:
target = parsedate_to_datetime(value)
if target is None:
return 0
if target.tzinfo is None:
target = target.replace(tzinfo=timezone.utc)
current = float(now if now is not None else time.time())
delta = int(target.timestamp() - current)
return min(max(0, delta), upper_bound)
except (TypeError, ValueError):
return 0
@dataclass(frozen=True)
class SyncWorkerState:
last_sync_started_at: int = 0
@@ -126,59 +72,6 @@ def begin_sync(
)
def _failure_backoff_seconds(
*,
base_backoff_s: int,
consecutive_failures: int,
retry_after_s: int,
cap_s: int = 1800,
) -> int:
"""Compute the next-attempt delay after a failed sync.
Two inputs combine:
* ``retry_after_s`` when an upstream peer answered HTTP 429
with a ``Retry-After`` header, we honor it exactly. Continuing
to hammer the upstream every 60s is the bug this fix exists to
close: it keeps the upstream's rate-limit bucket full
indefinitely and no sync ever lands.
* Exponential growth on ``consecutive_failures`` even without an
explicit Retry-After, repeated failures should slow us down. The
first failure waits ``base`` (preserves pre-fix behavior for
one-off blips). Each subsequent failure doubles the wait, capped
to ``cap_s`` (default 30 minutes). With base=60 and cap=1800,
the schedule is 60s 120s 240s 480s 960s 1800s
1800s .
The actual delay is the MAX of the two whichever asks for more
patience wins. ``retry_after_s == 0`` (no header) falls back to
pure exponential. An aggressive ``Retry-After`` (say 600s while
we're only at 1 failure) wins over the exponential ladder.
"""
base = max(0, int(base_backoff_s or 0))
failures = max(0, int(consecutive_failures or 0))
cap = max(0, int(cap_s or 0))
retry_after = max(0, int(retry_after_s or 0))
# ``cap_s=0`` explicitly disables the exponential ladder entirely
# — operators who want the pre-fix "honor Retry-After only" behavior
# can set this. The default cap of 1800s is what saturates the
# ladder at the 5th-6th failure for base=60.
if cap == 0:
return retry_after
# 2^(failures-1) — so failure #1 = base (preserves the pre-fix
# default for transient blips), failure #2 = 2*base, etc. Cap on
# the exponent (16) is defense against integer overflow on a
# hostile or very large failures counter.
if base > 0 and failures > 0:
exponent = min(max(0, failures - 1), 16)
grown = base * (2 ** exponent)
else:
grown = 0
exponential = min(max(0, grown), cap)
return max(exponential, retry_after)
def finish_sync(
state: SyncWorkerState,
*,
@@ -190,26 +83,7 @@ def finish_sync(
now: float | None = None,
interval_s: int = 300,
failure_backoff_s: int = 60,
retry_after_s: int = 0,
failure_backoff_cap_s: int = 1800,
) -> SyncWorkerState:
"""Finalise a sync attempt and compute when the next one should run.
New args (added for the 429 retry storm fix):
* ``retry_after_s`` if the peer responded with HTTP 429 + a
``Retry-After`` header, pass that value here. ``finish_sync``
will use ``max(exponential, retry_after_s)`` for the delay so
we never hammer a peer that asked us to back off.
* ``failure_backoff_cap_s`` upper bound on the exponential
ladder. Default 1800 (30 min) keeps a sync queue from going
silent for hours while still cutting the request rate to
something the upstream can absorb.
The pre-fix behavior (constant 60s on every failure) is recoverable
by passing ``failure_backoff_cap_s=0`` and ``retry_after_s=0``, but
there's no reason to.
"""
timestamp = int(now if now is not None else time.time())
if ok:
return SyncWorkerState(
@@ -225,25 +99,17 @@ def finish_sync(
consecutive_failures=0,
)
next_failures = state.consecutive_failures + 1
delay_s = _failure_backoff_seconds(
base_backoff_s=failure_backoff_s,
consecutive_failures=next_failures,
retry_after_s=retry_after_s,
cap_s=failure_backoff_cap_s,
)
return SyncWorkerState(
last_sync_started_at=state.last_sync_started_at,
last_sync_finished_at=timestamp,
last_sync_ok_at=state.last_sync_ok_at,
next_sync_due_at=timestamp + delay_s,
next_sync_due_at=timestamp + max(0, int(failure_backoff_s or 0)),
last_peer_url=peer_url or state.last_peer_url,
last_error=str(error or "").strip(),
last_outcome="fork" if fork_detected else "error",
current_head=current_head or state.current_head,
fork_detected=bool(fork_detected),
consecutive_failures=next_failures,
consecutive_failures=state.consecutive_failures + 1,
)
@@ -276,6 +142,5 @@ def should_run_sync(
) -> bool:
current_time = int(now if now is not None else time.time())
if state.last_outcome == "running":
started_at = int(state.last_sync_started_at or 0)
return started_at <= 0 or current_time - started_at >= 300
return False
return int(state.next_sync_due_at or 0) <= current_time
+11 -16
View File
@@ -26,11 +26,7 @@ from enum import Enum
from typing import Any, Callable, Optional
from collections import deque
from urllib.parse import urlparse
from services.mesh.mesh_crypto import (
_derive_peer_key,
normalize_peer_url,
resolve_peer_key_for_url,
)
from services.mesh.mesh_crypto import _derive_peer_key, normalize_peer_url
from services.mesh.mesh_metrics import increment as metrics_inc
from services.mesh.mesh_privacy_policy import (
TRANSPORT_TIER_ORDER as _TIER_RANK,
@@ -707,6 +703,7 @@ class InternetTransport(_PeerPushTransportMixin):
endpoint_path, padded = self._build_peer_push_request(envelope, self.NAME)
except ValueError as exc:
return TransportResult(False, self.NAME, str(exc))
secret = str(settings.MESH_PEER_PUSH_SECRET or "").strip()
delivered = 0
last_error = ""
@@ -716,13 +713,10 @@ class InternetTransport(_PeerPushTransportMixin):
try:
normalized_peer_url = normalize_peer_url(peer_url)
headers = {"Content-Type": "application/json"}
# Issue #256: per-peer secret takes precedence over the
# global MESH_PEER_PUSH_SECRET. When neither is set the
# key is empty and we skip the HMAC header entirely so a
# bare (unsigned) push still works on test deployments
# that have not yet configured any secret at all.
peer_key = resolve_peer_key_for_url(normalized_peer_url)
if peer_key:
if secret:
peer_key = _derive_peer_key(secret, normalized_peer_url)
if not peer_key:
raise ValueError("invalid peer URL for HMAC derivation")
headers["X-Peer-Url"] = normalized_peer_url
headers["X-Peer-HMAC"] = hmac.new(
peer_key,
@@ -804,6 +798,7 @@ class TorArtiTransport(_PeerPushTransportMixin):
endpoint_path, padded = self._build_peer_push_request(envelope, self.NAME)
except ValueError as exc:
return TransportResult(False, self.NAME, str(exc))
secret = str(settings.MESH_PEER_PUSH_SECRET or "").strip()
delivered = 0
last_error = ""
@@ -813,10 +808,10 @@ class TorArtiTransport(_PeerPushTransportMixin):
try:
normalized_peer_url = normalize_peer_url(peer_url)
headers = {"Content-Type": "application/json"}
# Issue #256: per-peer secret takes precedence; see the
# other transport above for the rationale.
peer_key = resolve_peer_key_for_url(normalized_peer_url)
if peer_key:
if secret:
peer_key = _derive_peer_key(secret, normalized_peer_url)
if not peer_key:
raise ValueError("invalid peer URL for HMAC derivation")
headers["X-Peer-Url"] = normalized_peer_url
headers["X-Peer-HMAC"] = hmac.new(
peer_key,
-144
View File
@@ -2,9 +2,6 @@
from __future__ import annotations
import base64
import binascii
import math
from dataclasses import dataclass
from typing import Any, Callable
@@ -36,58 +33,6 @@ def _require_fields(payload: dict[str, Any], fields: tuple[str, ...]) -> tuple[b
return True, "ok"
def _decode_base64ish(value: Any) -> bytes | None:
raw = str(value or "").strip()
if not raw or any(ch.isspace() for ch in raw):
return None
padded = raw + ("=" * (-len(raw) % 4))
for altchars in (None, b"-_"):
try:
return base64.b64decode(padded.encode("ascii"), altchars=altchars, validate=True)
except (binascii.Error, UnicodeEncodeError, ValueError):
continue
return None
def _byte_entropy(data: bytes) -> float:
if not data:
return 0.0
counts = [0] * 256
for byte in data:
counts[byte] += 1
total = float(len(data))
return -sum((count / total) * math.log2(count / total) for count in counts if count)
def _validate_sealed_bytes_field(
payload: dict[str, Any],
field: str,
*,
min_bytes: int = 8,
entropy_floor: float = 2.5,
) -> tuple[bool, str]:
data = _decode_base64ish(payload.get(field, ""))
if data is None:
return False, f"{field} must be base64-encoded sealed bytes"
if len(data) < min_bytes:
return False, f"{field} is too short"
# Short test vectors and compact envelopes can be low entropy; only apply
# heuristics once there is enough material to distinguish a sealed blob
# from accidental base64-encoded plaintext.
if len(data) >= 32:
printable = sum(1 for byte in data if 32 <= byte <= 126 or byte in (9, 10, 13))
if printable / len(data) > 0.9:
try:
data.decode("utf-8")
return False, f"{field} looks like encoded plaintext"
except UnicodeDecodeError:
pass
if _byte_entropy(data) < entropy_floor:
return False, f"{field} entropy is too low for sealed bytes"
return True, "ok"
def _validate_message(payload: dict[str, Any]) -> tuple[bool, str]:
ok, reason = _require_fields(
payload, ("message", "destination", "channel", "priority", "ephemeral")
@@ -386,7 +331,6 @@ ACTIVE_PUBLIC_LEDGER_EVENT_TYPES: frozenset[str] = frozenset(
LEGACY_PUBLIC_LEDGER_EVENT_TYPES: frozenset[str] = frozenset(
{
"gate_message",
"dm_message",
}
)
"""Event types that exist historically on the public chain and must remain
@@ -481,8 +425,6 @@ def validate_event_payload(event_type: str, payload: dict[str, Any]) -> tuple[bo
def validate_public_ledger_payload(event_type: str, payload: dict[str, Any]) -> tuple[bool, str]:
if event_type == "gate_message":
return validate_private_gate_ledger_payload(payload)
if event_type not in PUBLIC_LEDGER_EVENT_TYPES and event_type not in _EXTENSION_VALIDATORS:
return False, f"{event_type} is not allowed on the public ledger"
forbidden = sorted(
@@ -499,92 +441,6 @@ def validate_public_ledger_payload(event_type: str, payload: dict[str, Any]) ->
return True, "ok"
_PRIVATE_GATE_LEDGER_ALLOWED_FIELDS: frozenset[str] = frozenset(
{
"gate",
"ciphertext",
"nonce",
"sender_ref",
"format",
"epoch",
"gate_envelope",
"envelope_hash",
"reply_to",
"transport_lock",
"signed_context",
}
)
def validate_private_gate_ledger_payload(payload: dict[str, Any]) -> tuple[bool, str]:
"""Validate ciphertext-only gate events for private Infonet replication."""
ok, reason = validate_event_payload("gate_message", payload)
if not ok:
return ok, reason
unexpected = sorted(
key
for key in payload.keys()
if str(key or "").strip().lower() not in _PRIVATE_GATE_LEDGER_ALLOWED_FIELDS
)
if unexpected:
return False, f"private gate ledger payload contains unsupported fields: {', '.join(unexpected)}"
if "message" in payload or "_local_plaintext" in payload or "_local_reply_to" in payload:
return False, "private gate ledger payload must not contain plaintext"
transport_lock = str(payload.get("transport_lock", "") or "").strip().lower()
if transport_lock and transport_lock not in {"private", "private_strong", "rns", "onion"}:
return False, "gate messages require private transport_lock"
ok, reason = _validate_sealed_bytes_field(payload, "ciphertext")
if not ok:
return ok, reason
ok, reason = _validate_sealed_bytes_field(payload, "nonce")
if not ok:
return ok, reason
return True, "ok"
_PRIVATE_DM_LEDGER_ALLOWED_FIELDS: frozenset[str] = frozenset(
{
"recipient_id",
"delivery_class",
"recipient_token",
"ciphertext",
"msg_id",
"timestamp",
"format",
"session_welcome",
"sender_seal",
"relay_salt",
"transport_lock",
"signed_context",
}
)
def validate_private_dm_ledger_payload(payload: dict[str, Any]) -> tuple[bool, str]:
"""Validate ciphertext-only DM dead-drop events for private Infonet replication."""
ok, reason = validate_event_payload("dm_message", payload)
if not ok:
return ok, reason
unexpected = sorted(
key
for key in payload.keys()
if str(key or "").strip().lower() not in _PRIVATE_DM_LEDGER_ALLOWED_FIELDS
)
if unexpected:
return False, f"private DM ledger payload contains unsupported fields: {', '.join(unexpected)}"
if "message" in payload or "plaintext" in payload or "_local_plaintext" in payload:
return False, "private DM ledger payload must not contain plaintext"
transport_lock = str(payload.get("transport_lock", "") or "").strip().lower()
if transport_lock != "private_strong":
return False, "DM hashchain spool requires private_strong transport_lock"
if not str(payload.get("ciphertext", "") or "").strip():
return False, "ciphertext cannot be empty"
ok, reason = _validate_sealed_bytes_field(payload, "ciphertext")
if not ok:
return ok, reason
return True, "ok"
def validate_protocol_fields(protocol_version: str, network_id: str) -> tuple[bool, str]:
if protocol_version != PROTOCOL_VERSION:
return False, "Unsupported protocol_version"
+2 -7
View File
@@ -38,11 +38,6 @@ _REVOCATION_TTL_CACHE: dict[str, dict[str, Any]] = {}
_REVOCATION_TTL_LOCK = threading.Lock()
_REVOCATION_REFRESH_LOCK = threading.Lock()
_REVOCATION_REFRESH_FAIL_FAST_WINDOW_S = 5.0
def _request_scope_path(request: Request) -> str:
scope = getattr(request, "scope", {}) or {}
return str(scope.get("path") or "")
_REVOCATION_REFRESH_RETRY_AFTER_S = 5
_REVOCATION_PRECHECK_UNAVAILABLE_DETAIL = "Signed event integrity preflight unavailable"
@@ -171,7 +166,7 @@ def _canonical_signed_write_retry_payload(
signed_context = build_signed_context(
event_type=prepared.event_type,
kind=prepared.kind.value,
endpoint=_request_scope_path(request),
endpoint=str(request.url.path or ""),
lane_floor=_content_private_required_transport_tier(prepared.kind),
sequence_domain=_signed_context_sequence_domain(prepared),
node_id=prepared.node_id,
@@ -545,7 +540,7 @@ def _apply_signed_context_policy(prepared: "PreparedSignedWrite", request: Reque
ok, reason = validate_signed_context(
event_type=prepared.event_type,
kind=prepared.kind.value,
endpoint=_request_scope_path(request),
endpoint=str(request.url.path or ""),
lane_floor=_content_private_required_transport_tier(prepared.kind),
sequence_domain=_signed_context_sequence_domain(prepared),
node_id=prepared.node_id,
+7 -10
View File
@@ -91,15 +91,13 @@ def _fetch_dm_prekey_bundle_from_peer_lookup(lookup_token: str) -> dict[str, Any
return {"ok": False, "detail": "lookup token required"}
try:
from services.config import get_settings
from services.mesh.mesh_crypto import (
normalize_peer_url,
resolve_peer_key_for_url,
)
from services.mesh.mesh_crypto import _derive_peer_key, normalize_peer_url
from services.mesh.mesh_router import configured_relay_peer_urls
settings = get_settings()
# Issue #256: secret check moved per-peer below. We still bail out
# cleanly when there are no peers configured at all.
secret = str(getattr(settings, "MESH_PEER_PUSH_SECRET", "") or "").strip()
if not secret:
return {"ok": False, "detail": "peer prekey lookup unavailable"}
peers = configured_relay_peer_urls()
if not peers:
return {"ok": False, "detail": "peer prekey lookup unavailable"}
@@ -123,8 +121,7 @@ def _fetch_dm_prekey_bundle_from_peer_lookup(lookup_token: str) -> dict[str, Any
or os.environ.get("SB_TEST_NODE_URL", "").strip()
or normalized_peer_url
)
# Issue #256: prefer per-peer secret keyed by the sender URL.
peer_key = resolve_peer_key_for_url(sender_peer_url)
peer_key = _derive_peer_key(secret, sender_peer_url)
if not peer_key:
continue
headers = {
@@ -234,12 +231,12 @@ def _fetch_dm_prekey_bundle_from_public_lookup(lookup_token: str) -> dict[str, A
# Generic UA: any peer-facing crypto request should not carry a
# fork-specific identifier — that turns prekey lookups into a
# software-fingerprinting beacon.
from services.network_utils import default_user_agent
from services.network_utils import DEFAULT_USER_AGENT
request = urllib.request.Request(
f"{normalized_peer_url}/api/mesh/dm/prekey-bundle?{encoded}",
headers={
"Accept": "application/json",
"User-Agent": default_user_agent(),
"User-Agent": DEFAULT_USER_AGENT,
},
method="GET",
)
+9 -186
View File
@@ -5,9 +5,7 @@ import subprocess
import shutil
import time
import threading
import uuid
import requests
from pathlib import Path
from urllib.parse import urlparse
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
@@ -22,190 +20,15 @@ _session.mount("https://", HTTPAdapter(max_retries=_retry, pool_maxsize=20))
_session.mount("http://", HTTPAdapter(max_retries=_retry, pool_maxsize=10))
# ---------------------------------------------------------------------------
# Per-operator outbound identification
# ---------------------------------------------------------------------------
#
# Issues #289 / #290 / #291 and the retrofit of PR #284 (#218 / #219 / #220):
# every third-party API the backend calls used to identify itself with a
# single "Shadowbroker" aggregate User-Agent. From the upstream's
# perspective, that meant every Shadowbroker install in the world looked
# like one giant entity hammering them. If one install misbehaved, the
# upstream's only recourse was to block "Shadowbroker" as a whole — which
# would take out every other install too.
#
# Fix: give each install a stable pseudonymous handle used as the entire
# User-Agent product token (no shared "Shadowbroker" label). Upstreams see
# ``operator-7f3a92`` (or ``OPERATOR_HANDLE``), not one monolithic app name.
#
# The handle:
#
# - Is auto-generated on first call if no `OPERATOR_HANDLE` is configured
# (looks like "operator-7f3a92" — 6 hex chars from uuid4()).
# - Is persisted to ``backend/data/operator_handle.json`` so it survives
# restarts. Under Docker compose that file lives in the volume mount
# alongside `carrier_cache.json` and the other persistent state.
# - Can be overridden by the operator via the `OPERATOR_HANDLE` setting
# (env var or settings UI). Operators with their own GitHub handle,
# organization name, etc. can use that for traceability.
# - Is NEVER mixed into mesh / Wormhole / Infonet identity. This layer is
# strictly for public third-party API attribution.
_OPERATOR_HANDLE_FILE = (
Path(__file__).parent.parent / "data" / "operator_handle.json"
# Default outbound User-Agent. Generic by design — does NOT include any
# personal contact info or a fork-specific repo URL. Operators who run a
# public-facing relay and want to identify themselves to upstreams (e.g.
# for Nominatim / weather.gov usage-policy compliance) can override this
# via the SHADOWBROKER_USER_AGENT env var.
DEFAULT_USER_AGENT = os.environ.get(
"SHADOWBROKER_USER_AGENT",
"ShadowBroker-OSINT/0.9",
)
_OPERATOR_HANDLE_CACHE: str = ""
_OPERATOR_HANDLE_LOCK = threading.Lock()
def _generate_operator_handle() -> str:
"""Produce a stable pseudonymous handle for first-launch installs.
Format: ``operator-7f3a92`` (6 hex chars from a fresh uuid4()).
Distinct per install. Carries no real-world identity by default
operators who want one can override via ``OPERATOR_HANDLE``.
Note: the prefix is deliberately neutral. Earlier drafts used
``shadow-`` which, while accurate to the project name, looks
exactly like the kind of pattern a third-party abuse-detection
system would auto-block as suspicious. ``operator-`` describes
what the value actually is and doesn't pattern-match malware.
"""
return f"operator-{uuid.uuid4().hex[:6]}"
def _load_persisted_operator_handle() -> str:
"""Return the previously-saved handle from disk, or empty if none.
Reads ``backend/data/operator_handle.json`` if it exists. Any read
error returns empty so a fresh handle gets generated rather than
crashing the request.
"""
try:
if _OPERATOR_HANDLE_FILE.exists():
data = json.loads(_OPERATOR_HANDLE_FILE.read_text(encoding="utf-8"))
return str(data.get("handle", "") or "").strip()
except (OSError, json.JSONDecodeError, ValueError):
pass
return ""
def _persist_operator_handle(handle: str) -> None:
"""Atomically save the auto-generated handle so subsequent restarts
use the same one. Failure to persist is non-fatal the request still
succeeds with the in-memory handle, we just may generate a different
one on the next process restart."""
try:
_OPERATOR_HANDLE_FILE.parent.mkdir(parents=True, exist_ok=True)
tmp = _OPERATOR_HANDLE_FILE.with_suffix(_OPERATOR_HANDLE_FILE.suffix + ".tmp")
tmp.write_text(
json.dumps({"handle": handle, "_meta": {
"purpose": "Per-install operator handle for outbound third-party API attribution.",
"see": "backend/services/network_utils.py:outbound_user_agent",
}}, indent=2),
encoding="utf-8",
)
os.replace(tmp, _OPERATOR_HANDLE_FILE)
except OSError as exc:
logger.debug("Could not persist operator_handle (continuing in-memory): %s", exc)
def get_operator_handle() -> str:
"""Return the stable per-install operator handle.
Resolution order:
1. ``OPERATOR_HANDLE`` setting (env var / settings UI) if non-empty.
2. Process-cached value from previous call this run.
3. Value persisted to ``operator_handle.json`` (from a previous run).
4. Newly generated pseudonymous handle, persisted to disk.
The handle is normalized: stripped of whitespace, lowercased,
non-alphanumeric chars (except ``-`` and ``_``) replaced with ``-``.
This both sanitizes any HTTP-header-unsafe characters AND prevents
the operator from impersonating real third-party projects via
inventive whitespace.
"""
global _OPERATOR_HANDLE_CACHE
with _OPERATOR_HANDLE_LOCK:
# 1. Configured override always wins.
configured = ""
try:
from services.config import get_settings
configured = str(getattr(get_settings(), "OPERATOR_HANDLE", "") or "").strip()
except Exception:
configured = ""
if configured:
return _normalize_handle(configured)
# 2. In-memory cache (fast path for repeated calls).
if _OPERATOR_HANDLE_CACHE:
return _OPERATOR_HANDLE_CACHE
# 3. On-disk handle from a previous run.
persisted = _load_persisted_operator_handle()
if persisted:
normalized = _normalize_handle(persisted)
# Migrate legacy auto-generated handles (pre-Round-7a ``shadow-`` prefix).
if normalized.startswith("shadow-"):
normalized = f"operator-{normalized[len('shadow-'):]}"
_persist_operator_handle(normalized)
_OPERATOR_HANDLE_CACHE = normalized
return _OPERATOR_HANDLE_CACHE
# 4. Generate, persist, return.
fresh = _generate_operator_handle()
_persist_operator_handle(fresh)
_OPERATOR_HANDLE_CACHE = fresh
return fresh
def _normalize_handle(raw: str) -> str:
"""Strip whitespace, lowercase, replace unsafe characters with dashes."""
safe = "".join(
ch if (ch.isalnum() or ch in "-_") else "-"
for ch in raw.strip().lower()
)
# Collapse runs of dashes and trim to a reasonable length so an
# operator can't make our outbound logs unreadable.
while "--" in safe:
safe = safe.replace("--", "-")
safe = safe.strip("-")
return safe[:48] if safe else "anonymous"
def outbound_user_agent(purpose: str = "") -> str:
"""Build a User-Agent for an outbound third-party HTTP request.
Returns the per-install handle only, e.g. ``operator-7f3a92`` or
``operator-7f3a92 (purpose: wikipedia)``. No shared project name so
upstream abuse teams cannot block every install with one ``Shadowbroker``
rule.
Set ``SHADOWBROKER_USER_AGENT`` to override the entire string if needed.
"""
handle = get_operator_handle()
if purpose:
purpose_clean = _normalize_handle(purpose)
return f"{handle} (purpose: {purpose_clean})"
return handle
def _reset_operator_handle_cache_for_tests() -> None:
"""Test-only: invalidate the in-memory cache so a test can set a
new ``OPERATOR_HANDLE`` env var and see it picked up immediately."""
global _OPERATOR_HANDLE_CACHE
with _OPERATOR_HANDLE_LOCK:
_OPERATOR_HANDLE_CACHE = ""
def default_user_agent() -> str:
"""Default User-Agent for ``fetch_with_curl`` and legacy call sites."""
custom = (os.environ.get("SHADOWBROKER_USER_AGENT") or "").strip()
if custom:
return custom
return outbound_user_agent()
# Find bash for curl fallback — Git bash's curl has the TLS features
# needed to pass CDN fingerprint checks (brotli, zstd, libpsl)
@@ -261,7 +84,7 @@ def fetch_with_curl(url, method="GET", json_data=None, timeout=15, headers=None,
both Python requests and the barebones Windows system curl.
"""
default_headers = {
"User-Agent": default_user_agent(),
"User-Agent": DEFAULT_USER_AGENT,
}
if headers:
default_headers.update(headers)
+2 -4
View File
@@ -12,8 +12,6 @@ logger = logging.getLogger(__name__)
CONFIG_PATH = Path(__file__).parent.parent / "config" / "news_feeds.json"
MAX_FEEDS = 50
_FEED_URL_REPLACEMENTS = {
"http://feeds.bbci.co.uk/news/world/rss.xml": "https://feeds.bbci.co.uk/news/world/rss.xml",
"http://www.news.cn/english/rss/worldrss.xml": "https://www.news.cn/english/rss/worldrss.xml",
"https://www.channelnewsasia.com/rssfeed/8395986": "https://www.channelnewsasia.com/api/v1/rss-outbound-feed?_format=xml",
}
_DEAD_FEED_URLS = {
@@ -29,7 +27,7 @@ _DEAD_FEED_URLS = {
DEFAULT_FEEDS = [
{"name": "NPR", "url": "https://feeds.npr.org/1004/rss.xml", "weight": 4},
{"name": "BBC", "url": "https://feeds.bbci.co.uk/news/world/rss.xml", "weight": 3},
{"name": "BBC", "url": "http://feeds.bbci.co.uk/news/world/rss.xml", "weight": 3},
{"name": "AlJazeera", "url": "https://www.aljazeera.com/xml/rss/all.xml", "weight": 2},
{"name": "NYT", "url": "https://rss.nytimes.com/services/xml/rss/nyt/World.xml", "weight": 1},
{"name": "GDACS", "url": "https://www.gdacs.org/xml/rss.xml", "weight": 5},
@@ -37,7 +35,7 @@ DEFAULT_FEEDS = [
{"name": "Bellingcat", "url": "https://www.bellingcat.com/feed/", "weight": 4},
{"name": "Guardian", "url": "https://www.theguardian.com/world/rss", "weight": 3},
{"name": "TASS", "url": "https://tass.com/rss/v2.xml", "weight": 2},
{"name": "Xinhua", "url": "https://www.news.cn/english/rss/worldrss.xml", "weight": 2},
{"name": "Xinhua", "url": "http://www.news.cn/english/rss/worldrss.xml", "weight": 2},
{"name": "CNA", "url": "https://www.channelnewsasia.com/api/v1/rss-outbound-feed?_format=xml", "weight": 3},
{"name": "Mercopress", "url": "https://en.mercopress.com/rss/", "weight": 3},
{"name": "SCMP", "url": "https://www.scmp.com/rss/91/feed", "weight": 4},
-27
View File
@@ -83,10 +83,6 @@ READ_COMMANDS = frozenset({
"sar_pin_click",
# Analysis zones (OpenClaw map overlays)
"list_analysis_zones",
# Recon / OSINT toolkit (server-side proxies, SSRF guarded)
"osint_lookup",
"osint_tools",
"entity_expand",
})
WRITE_COMMANDS = frozenset({
@@ -116,8 +112,6 @@ WRITE_COMMANDS = frozenset({
"place_analysis_zone",
"delete_analysis_zone",
"clear_analysis_zones",
# Active recon (subnet device discovery)
"osint_sweep",
})
@@ -786,7 +780,6 @@ def _dispatch_command(cmd: str, args: dict[str, Any]) -> dict[str, Any]:
query=str(args.get("query", "") or ""),
limit=args.get("limit", 10),
include_gdelt=bool(args.get("include_gdelt", True)),
include_telegram=bool(args.get("include_telegram", True)),
)
if _wants_compact(args):
return {"ok": True, "data": _compact_query_result(result), "format": "compressed_v1"}
@@ -853,26 +846,6 @@ def _dispatch_command(cmd: str, args: dict[str, Any]) -> dict[str, Any]:
return {"ok": True, "data": _compact_query_result(result), "format": "compressed_v1"}
return {"ok": True, "data": result}
if cmd == "osint_lookup":
from services.osint.openclaw_recon import run_osint_lookup
tool = str(args.get("tool", "") or args.get("lookup", "") or args.get("type", "") or "")
result = run_osint_lookup(tool, args)
return {"ok": True, "data": result, "tool": tool.strip().lower()}
if cmd == "osint_tools":
from services.osint.openclaw_recon import osint_tool_help
return {"ok": True, "data": osint_tool_help()}
if cmd == "osint_sweep":
from services.osint.openclaw_recon import run_osint_sweep
result = run_osint_sweep(args)
return {"ok": True, "data": result}
if cmd == "entity_expand":
from services.osint.openclaw_recon import run_entity_expand
result = run_entity_expand(args)
return {"ok": True, "data": result}
if cmd == "get_report":
from services.telemetry import get_cached_telemetry_refs, get_cached_slow_telemetry_refs
fast = get_cached_telemetry_refs()
-1
View File
@@ -1 +0,0 @@
"""Operator-initiated OSINT lookups (server-side proxies)."""
-492
View File
@@ -1,492 +0,0 @@
"""Server-side OSINT lookups (Osiris port, HTTPS outbound only)."""
from __future__ import annotations
import ipaddress
import json
import logging
import re
import socket
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import datetime, timezone
from typing import Any
from urllib.parse import quote
from services.network_utils import fetch_with_curl
from services.sanctions.ofac import match_exact, search_sanctions
from services.ssrf_guard import safe_get, validate_domain, validate_host
logger = logging.getLogger(__name__)
_IPV4_RE = re.compile(r"^(\d{1,3}\.){3}\d{1,3}$")
_IPV6_RE = re.compile(r"^[0-9a-fA-F:]+$")
_CVE_RE = re.compile(r"^CVE-\d{4}-\d{4,}$", re.I)
_ASN_RE = re.compile(r"^(AS)?\d+$", re.I)
def _now_iso() -> str:
return datetime.now(timezone.utc).isoformat()
def _json_get(url: str, *, timeout: float = 8.0, headers: dict[str, str] | None = None) -> Any:
resp = fetch_with_curl(url, timeout=timeout, headers=headers or {"Accept": "application/json"})
if resp.status_code != 200:
return None
try:
return resp.json()
except Exception:
return None
def _sanctions_hits(*values: str) -> list[dict[str, Any]] | None:
hits: list[dict[str, Any]] = []
seen: set[str] = set()
for value in values:
if not value or value in seen:
continue
seen.add(value)
entries = match_exact(value)
if entries:
hits.append({"matched_value": value, "entries": entries})
return hits or None
def lookup_ip(ip: str) -> dict[str, Any]:
if not _IPV4_RE.match(ip) and not _IPV6_RE.match(ip):
raise ValueError("Invalid IP format")
check = validate_host(ip.strip("[]"))
if not check.get("ok"):
raise ValueError(check.get("reason", "blocked IP"))
results: dict[str, Any] = {"ip": ip, "timestamp": _now_iso()}
fields = (
"status,message,continent,country,countryCode,region,regionName,city,zip,"
"lat,lon,timezone,isp,org,as,asname,mobile,proxy,hosting,query"
)
geo = _json_get(f"https://ip-api.com/json/{quote(ip)}?fields={fields}", timeout=5)
if isinstance(geo, dict) and geo.get("status") == "success":
results["geo"] = {
"country": geo.get("country"),
"country_code": geo.get("countryCode"),
"region": geo.get("regionName"),
"city": geo.get("city"),
"lat": geo.get("lat"),
"lon": geo.get("lon"),
"timezone": geo.get("timezone"),
"isp": geo.get("isp"),
"org": geo.get("org"),
"as_number": geo.get("as"),
"as_name": geo.get("asname"),
"is_mobile": geo.get("mobile"),
"is_proxy": geo.get("proxy"),
"is_hosting": geo.get("hosting"),
}
results["reputation"] = {
"is_proxy": bool(geo.get("proxy")),
"is_hosting": bool(geo.get("hosting")),
"is_mobile": bool(geo.get("mobile")),
"risk_level": "HIGH" if geo.get("proxy") else "MEDIUM" if geo.get("hosting") else "LOW",
}
sm = _sanctions_hits(geo.get("org") or "", geo.get("isp") or "", geo.get("asname") or "")
if sm:
results["sanctions_match"] = {"source": "OFAC SDN", "hits": sm}
return results
def lookup_dns(domain: str) -> dict[str, Any]:
if not validate_domain(domain):
raise ValueError("Invalid domain format")
results: dict[str, Any] = {"domain": domain, "records": {}, "timestamp": _now_iso()}
for rtype in ("A", "AAAA", "MX", "NS", "TXT", "CNAME", "SOA"):
data = _json_get(
f"https://dns.google/resolve?name={quote(domain)}&type={rtype}",
timeout=5,
)
answers = []
if isinstance(data, dict):
for ans in data.get("Answer") or []:
answers.append(
{
"name": ans.get("name"),
"type": ans.get("type"),
"ttl": ans.get("TTL"),
"data": ans.get("data"),
}
)
results["records"][rtype] = answers
a_records = results["records"].get("A") or []
mx_records = results["records"].get("MX") or []
ns_records = results["records"].get("NS") or []
results["summary"] = {
"ip_addresses": [r["data"] for r in a_records if r.get("data")],
"mail_servers": [r["data"] for r in mx_records if r.get("data")],
"nameservers": [r["data"] for r in ns_records if r.get("data")],
"total_records": sum(len(v) for v in results["records"].values()),
}
return results
def lookup_whois(domain: str) -> dict[str, Any]:
if not validate_domain(domain):
raise ValueError("Invalid domain format")
results: dict[str, Any] = {"domain": domain, "timestamp": _now_iso()}
rdap = _json_get(f"https://rdap.org/domain/{quote(domain)}", timeout=8)
if isinstance(rdap, dict):
entities = []
for ent in rdap.get("entities") or []:
vcard = ent.get("vcardArray")
name = org = None
if isinstance(vcard, list) and len(vcard) > 1:
for row in vcard[1]:
if row[0] == "fn":
name = row[3]
if row[0] == "org":
org = row[3]
if name or org:
entities.append({"handle": ent.get("handle"), "roles": ent.get("roles"), "name": name, "org": org})
events = [
{"action": e.get("eventAction"), "date": e.get("eventDate")}
for e in (rdap.get("events") or [])
]
results["rdap"] = {
"handle": rdap.get("handle"),
"name": rdap.get("ldhName"),
"status": rdap.get("status"),
"events": events,
"nameservers": [ns.get("ldhName") for ns in (rdap.get("nameservers") or [])],
"entities": entities,
}
results["registration"] = next((e["date"] for e in events if e["action"] == "registration"), None)
results["expiration"] = next((e["date"] for e in events if e["action"] == "expiration"), None)
results["last_changed"] = next((e["date"] for e in events if e["action"] == "last changed"), None)
sm = _sanctions_hits(*(e.get("name") or "" for e in entities), *(e.get("org") or "" for e in entities))
if sm:
results["sanctions_match"] = {"source": "OFAC SDN", "hits": sm}
try:
res = safe_get(f"https://{domain}", timeout=5, headers={"User-Agent": "Shadowbroker-OSINT/1.0"})
headers = {}
for h in (
"server",
"x-powered-by",
"x-frame-options",
"strict-transport-security",
"content-security-policy",
"x-content-type-options",
"x-xss-protection",
"referrer-policy",
"permissions-policy",
):
val = res.headers.get(h)
if val:
headers[h] = val
score = sum(
1
for k in (
"strict-transport-security",
"content-security-policy",
"x-frame-options",
"x-content-type-options",
"referrer-policy",
)
if k in headers
) + (2 if "strict-transport-security" in headers else 0) + (2 if "content-security-policy" in headers else 0)
results["http"] = {"status": res.status_code, "headers": headers, "final_url": res.url}
results["security_score"] = {
"score": score,
"max": 7,
"grade": "A" if score >= 5 else "B" if score >= 3 else "C" if score >= 1 else "F",
}
except Exception as exc:
logger.debug("WHOIS header probe failed for %s: %s", domain, exc)
return results
def lookup_certs(domain: str) -> dict[str, Any]:
if not validate_domain(domain):
raise ValueError("Invalid domain format")
resp = fetch_with_curl(
f"https://crt.sh/?q=%25.{quote(domain)}&output=json",
timeout=10,
headers={"User-Agent": "Shadowbroker-OSINT/1.0"},
)
if resp.status_code != 200:
return {"domain": domain, "certificates": [], "error": "crt.sh unavailable"}
try:
certs = resp.json()
except Exception:
certs = []
seen: set[str] = set()
subdomains: set[str] = set()
unique: list[dict[str, Any]] = []
for cert in (certs or [])[:200]:
key = f"{cert.get('common_name')}-{cert.get('serial_number')}"
if key in seen:
continue
seen.add(key)
for name in (cert.get("name_value") or "").split("\n"):
clean = name.strip().replace("*.", "")
if clean.endswith(domain):
subdomains.add(clean)
unique.append(
{
"id": cert.get("id"),
"issuer": cert.get("issuer_name"),
"common_name": cert.get("common_name"),
"not_before": cert.get("not_before"),
"not_after": cert.get("not_after"),
}
)
return {
"domain": domain,
"certificates": unique[:50],
"subdomains": sorted(subdomains)[:100],
"total_found": len(certs or []),
"timestamp": _now_iso(),
}
def lookup_threats(query: str | None = None) -> dict[str, Any]:
results: dict[str, Any] = {"timestamp": _now_iso()}
pulses = _json_get("https://otx.alienvault.com/api/v1/pulses/activity?limit=10", timeout=8)
if isinstance(pulses, dict):
results["pulses"] = [
{
"name": p.get("name"),
"description": (p.get("description") or "")[:200],
"created": p.get("created"),
"tags": (p.get("tags") or [])[:5],
"adversary": p.get("adversary"),
"indicators_count": p.get("indicator_count"),
}
for p in (pulses.get("results") or [])[:10]
]
if query:
if _IPV4_RE.match(query):
try:
tor_resp = fetch_with_curl("https://check.torproject.org/torbulkexitlist", timeout=5)
results["tor_exit_node"] = query in (tor_resp.text or "").splitlines() if tor_resp.status_code == 200 else None
except Exception:
results["tor_exit_node"] = None
otx = _json_get(f"https://otx.alienvault.com/api/v1/indicators/IPv4/{quote(query)}/general", timeout=5)
if isinstance(otx, dict):
results["otx"] = {
"reputation": otx.get("reputation"),
"pulse_count": (otx.get("pulse_info") or {}).get("count", 0),
"country": otx.get("country_name"),
"asn": otx.get("asn"),
}
elif validate_domain(query):
otx = _json_get(f"https://otx.alienvault.com/api/v1/indicators/domain/{quote(query)}/general", timeout=5)
if isinstance(otx, dict):
results["otx"] = {"pulse_count": (otx.get("pulse_info") or {}).get("count", 0)}
pulse_count = (results.get("otx") or {}).get("pulse_count", 0)
results["threat_level"] = "HIGH" if pulse_count > 5 else "MEDIUM" if pulse_count > 0 else "LOW"
return results
def lookup_bgp(query: str) -> dict[str, Any]:
results: dict[str, Any] = {"query": query, "timestamp": _now_iso()}
if _IPV4_RE.match(query):
data = _json_get(f"https://api.bgpview.io/ip/{quote(query)}", timeout=8)
if isinstance(data, dict) and data.get("status") == "ok":
results["ip"] = data.get("data")
results["type"] = "ip"
return results
if _ASN_RE.match(query):
asn_num = re.sub(r"^AS", "", query, flags=re.I)
asn = _json_get(f"https://api.bgpview.io/asn/{asn_num}", timeout=8)
prefixes = _json_get(f"https://api.bgpview.io/asn/{asn_num}/prefixes", timeout=8)
peers = _json_get(f"https://api.bgpview.io/asn/{asn_num}/peers", timeout=8)
if isinstance(asn, dict) and asn.get("status") == "ok":
results["asn"] = asn.get("data")
if isinstance(prefixes, dict) and prefixes.get("status") == "ok":
pdata = prefixes.get("data") or {}
results["prefixes"] = {
"ipv4": (pdata.get("ipv4_prefixes") or [])[:20],
"ipv6": (pdata.get("ipv6_prefixes") or [])[:10],
"total_v4": len(pdata.get("ipv4_prefixes") or []),
"total_v6": len(pdata.get("ipv6_prefixes") or []),
}
if isinstance(peers, dict) and peers.get("status") == "ok":
pdata = peers.get("data") or {}
results["peers"] = {
"upstream": (pdata.get("ipv4_peers") or [])[:10],
"total": len(pdata.get("ipv4_peers") or []),
}
results["type"] = "asn"
return results
raise ValueError("Unrecognized query format. Use IP address or AS number.")
def lookup_sanctions(query: str, *, schema: str | None = None, limit: int = 25) -> dict[str, Any]:
matches = search_sanctions(query, schema=schema, limit=limit)
return {
"query": query,
"schema": schema,
"total": len(matches),
"matches": matches,
"source": "OpenSanctions / US OFAC SDN",
"timestamp": _now_iso(),
}
def lookup_cve(cve: str) -> dict[str, Any]:
if not _CVE_RE.match(cve):
raise ValueError("Invalid CVE format")
cve_id = cve.upper()
data = _json_get(f"https://cveawg.mitre.org/api/cve/{quote(cve_id)}", timeout=8)
if isinstance(data, dict) and data.get("cveMetadata"):
meta = data["cveMetadata"]
desc = ""
for block in (data.get("containers") or {}).get("cna", {}).get("descriptions") or []:
if block.get("lang") == "en":
desc = block.get("value") or desc
return {"id": meta.get("cveId", cve_id), "description": desc or "No description.", "timestamp": _now_iso()}
fallback = _json_get(f"https://cve.circl.lu/api/cve/{quote(cve_id)}", timeout=8)
if isinstance(fallback, dict):
return {
"id": fallback.get("id", cve_id),
"description": fallback.get("summary") or "No description.",
"cvss": fallback.get("cvss"),
"references": (fallback.get("references") or [])[:5],
"timestamp": _now_iso(),
}
raise ValueError("CVE not found")
def lookup_mac(mac: str) -> dict[str, Any]:
clean = mac.strip().upper()
clean = re.sub(r"[^A-F0-9:-]", "", clean)
data = _json_get(f"https://api.macvendors.com/{quote(clean)}", timeout=8)
if isinstance(data, dict):
return {"mac": clean, "vendor": data.get("company") or data.get("organization") or "Not Found"}
if isinstance(data, str) and data:
return {"mac": clean, "vendor": data}
return {"mac": clean, "vendor": "Not Found"}
def lookup_github(username: str) -> dict[str, Any]:
user = _json_get(f"https://api.github.com/users/{quote(username)}", timeout=8)
if not isinstance(user, dict) or user.get("message") == "Not Found":
raise ValueError("GitHub user not found")
repos = _json_get(f"https://api.github.com/users/{quote(username)}/repos?per_page=10&sort=updated", timeout=8)
return {
"username": username,
"profile": {
"name": user.get("name"),
"bio": user.get("bio"),
"company": user.get("company"),
"location": user.get("location"),
"public_repos": user.get("public_repos"),
"followers": user.get("followers"),
"created_at": user.get("created_at"),
"html_url": user.get("html_url"),
},
"repos": [
{"name": r.get("name"), "language": r.get("language"), "stars": r.get("stargazers_count")}
for r in (repos or [])[:10]
if isinstance(r, dict)
],
"timestamp": _now_iso(),
}
def lookup_leaks(email: str) -> dict[str, Any]:
if "@" not in email or len(email) < 5:
raise ValueError("Invalid email")
# HIBP requires API key for v3; use public breach directory style via leak-lookup (rate limited)
data = _json_get(f"https://leakcheck.io/api/public?check={quote(email)}", timeout=8)
if isinstance(data, dict):
return {
"email": email,
"found": bool(data.get("found")),
"sources": data.get("sources") or [],
"timestamp": _now_iso(),
}
return {"email": email, "found": False, "sources": [], "timestamp": _now_iso()}
def sweep_init(ip: str, cidr: int = 24) -> dict[str, Any]:
try:
addr = ipaddress.IPv4Address(ip)
except ValueError as exc:
raise ValueError("Invalid IPv4 address format") from exc
if addr.is_private or addr.is_loopback or addr.is_link_local or addr.is_reserved:
raise ValueError("Private and reserved IP ranges are not allowed")
if cidr < 24 or cidr > 32:
raise ValueError("CIDR must be between 24 and 32")
fields = "status,message,country,countryCode,region,regionName,city,lat,lon,isp,org,as,proxy,hosting"
geo = _json_get(f"https://ip-api.com/json/{quote(ip)}?fields={fields}", timeout=5)
if not isinstance(geo, dict) or geo.get("status") != "success":
raise ValueError(f"Geolocation failed: {(geo or {}).get('message', 'unknown')}")
return {
"center": {
"lat": geo.get("lat"),
"lng": geo.get("lon"),
"city": geo.get("city"),
"region": geo.get("regionName"),
"country": geo.get("country"),
"countryCode": geo.get("countryCode"),
"isp": geo.get("isp"),
"asn": geo.get("as") or "",
"org": geo.get("org") or "",
},
"target_ip": ip,
"cidr": cidr,
}
def _internetdb_lookup(ip: str) -> dict[str, Any] | None:
try:
resp = fetch_with_curl(
f"https://internetdb.shodan.io/{quote(ip)}",
timeout=4,
headers={"Accept": "application/json"},
)
if resp.status_code == 404:
return None
if resp.status_code != 200:
return None
return resp.json()
except Exception:
return None
def sweep_scan(subnet_start: str, cidr: int, *, max_workers: int = 12) -> dict[str, Any]:
"""Scan a /24-/32 via Shodan InternetDB (server-side proxy)."""
base = int(ipaddress.IPv4Address(subnet_start))
host_count = 2 ** (32 - cidr)
if host_count > 256:
raise ValueError("Subnet too large")
ips = [str(ipaddress.IPv4Address(base + i)) for i in range(host_count)]
devices: list[dict[str, Any]] = []
t0 = time.time()
with ThreadPoolExecutor(max_workers=max_workers) as pool:
futures = {pool.submit(_internetdb_lookup, ip): ip for ip in ips}
for fut in as_completed(futures):
ip = futures[fut]
data = fut.result()
if not data:
continue
devices.append(
{
"ip": data.get("ip") or ip,
"ports": data.get("ports") or [],
"hostnames": data.get("hostnames") or [],
"cpes": data.get("cpes") or [],
"vulns": data.get("vulns") or [],
"tags": data.get("tags") or [],
}
)
return {
"devices": devices,
"summary": {"total_hosts": host_count, "total_responsive": len(devices)},
"sweep_time_ms": int((time.time() - t0) * 1000),
}
def subnet_start_for(ip: str, cidr: int) -> str:
net = ipaddress.IPv4Network(f"{ip}/{cidr}", strict=False)
return str(net.network_address)
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"""OpenClaw dispatch for the operator recon / OSINT lookup toolkit."""
from __future__ import annotations
from typing import Any
from services.osint import lookups
from services.osint_intel.resolve import ALLOWED_TYPES, resolve_entity
_OSINT_TOOLS: dict[str, str] = {
"ip": "ip",
"dns": "domain",
"whois": "domain",
"certs": "domain",
"threats": "query",
"bgp": "query",
"sanctions": "query",
"cve": "cve",
"mac": "mac",
"github": "username",
"leaks": "email",
"sweep_init": "ip",
}
_ENTITY_SCHEMAS = frozenset({
"Person",
"Organization",
"Company",
"Vessel",
"Airplane",
"LegalEntity",
})
def _require_str(args: dict[str, Any], *keys: str) -> str:
for key in keys:
value = str(args.get(key, "") or "").strip()
if value:
return value
joined = "/".join(keys)
raise ValueError(f"Missing required argument: {joined}")
def run_osint_lookup(tool: str, args: dict[str, Any]) -> dict[str, Any]:
"""Run a passive OSINT lookup (same backends as /api/osint/*)."""
name = str(tool or "").strip().lower().replace("-", "_")
if name not in _OSINT_TOOLS:
allowed = ", ".join(sorted(_OSINT_TOOLS))
raise ValueError(f"Unknown OSINT tool '{tool}'. Allowed: {allowed}")
if name == "ip":
return lookups.lookup_ip(_require_str(args, "ip", "query", "value"))
if name == "dns":
return lookups.lookup_dns(_require_str(args, "domain", "query", "value"))
if name == "whois":
return lookups.lookup_whois(_require_str(args, "domain", "query", "value"))
if name == "certs":
return lookups.lookup_certs(_require_str(args, "domain", "query", "value"))
if name == "threats":
query = str(args.get("query", "") or args.get("value", "") or "").strip() or None
return lookups.lookup_threats(query)
if name == "bgp":
return lookups.lookup_bgp(_require_str(args, "query", "asn", "value"))
if name == "sanctions":
query = _require_str(args, "query", "name", "value")
schema = str(args.get("schema", "") or "").strip() or None
if schema and schema not in _ENTITY_SCHEMAS:
allowed = ", ".join(sorted(_ENTITY_SCHEMAS))
raise ValueError(f"Invalid schema. Allowed: {allowed}")
limit = args.get("limit", 25)
try:
limit = int(limit)
except (TypeError, ValueError):
limit = 25
limit = max(1, min(100, limit))
return lookups.lookup_sanctions(query, schema=schema, limit=limit)
if name == "cve":
return lookups.lookup_cve(_require_str(args, "cve", "query", "value"))
if name == "mac":
return lookups.lookup_mac(_require_str(args, "mac", "query", "value"))
if name == "github":
return lookups.lookup_github(_require_str(args, "username", "user", "query", "value"))
if name == "leaks":
return lookups.lookup_leaks(_require_str(args, "email", "query", "value"))
if name == "sweep_init":
ip = _require_str(args, "ip", "query", "value")
cidr = args.get("cidr", 24)
try:
cidr = int(cidr)
except (TypeError, ValueError):
cidr = 24
return lookups.sweep_init(ip, cidr)
raise ValueError(f"Unhandled OSINT tool: {name}")
def run_osint_sweep(args: dict[str, Any]) -> dict[str, Any]:
"""Run subnet device discovery (Shodan InternetDB proxy). Requires full access tier."""
ip = _require_str(args, "ip", "query", "value")
cidr = args.get("cidr", 24)
try:
cidr = int(cidr)
except (TypeError, ValueError):
cidr = 24
subnet = lookups.subnet_start_for(ip, cidr)
scan = lookups.sweep_scan(subnet, cidr)
init = lookups.sweep_init(ip, cidr)
return {**init, **scan, "subnet": f"{subnet}/{cidr}"}
def run_entity_expand(args: dict[str, Any]) -> dict[str, Any]:
"""Expand an entity graph node (aircraft, vessel, IP, company, person, country)."""
entity_type = _require_str(args, "type", "entity_type")
entity_id = _require_str(args, "id", "entity_id", "query", "value")
props = {
"label": entity_id,
"registration": str(args.get("registration", "") or "").strip() or None,
"model": str(args.get("model", "") or "").strip() or None,
"icao24": str(args.get("icao24", "") or "").strip() or None,
}
props = {key: value for key, value in props.items() if value is not None}
return resolve_entity(entity_type, entity_id, props)
def osint_tool_help() -> dict[str, Any]:
"""Discovery metadata for agents."""
return {
"tools": sorted(_OSINT_TOOLS),
"entity_types": sorted(ALLOWED_TYPES),
"sanctions_schemas": sorted(_ENTITY_SCHEMAS),
"notes": {
"osint_lookup": "Passive lookups — same data as the Recon panel /api/osint/* routes.",
"osint_sweep": "Active subnet scan via Shodan InternetDB — requires full OpenClaw access tier.",
"entity_expand": "Build a relationship graph around aircraft, vessels, IPs, companies, people, or countries.",
},
}
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@@ -1 +0,0 @@
"""Entity graph resolution (Osiris intel layer port)."""
-268
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@@ -1,268 +0,0 @@
"""Entity graph resolver (Python port of Osiris intel/server.js)."""
from __future__ import annotations
import logging
import re
import threading
import time
from typing import Any
from urllib.parse import quote
from services.network_utils import fetch_with_curl
from services.sanctions.ofac import match_exact, search_sanctions
logger = logging.getLogger(__name__)
ALLOWED_TYPES = frozenset({"aircraft", "vessel", "company", "person", "ip", "country"})
_WD_CACHE: dict[str, tuple[float, dict[str, Any]]] = {}
_WD_LOCK = threading.Lock()
_WD_TTL = 24 * 60 * 60
_WD_UA = "Shadowbroker-Intel/1.0 (ontology engine)"
def _dedup(nodes: list[dict], links: list[dict]) -> dict[str, Any]:
node_map: dict[str, dict] = {}
for n in nodes:
node_map[n["id"]] = n
seen_links: set[str] = set()
out_links: list[dict] = []
for link in links:
key = f"{link['source']}{link['target']}{link['label']}"
if key in seen_links:
continue
seen_links.add(key)
out_links.append(link)
return {"nodes": list(node_map.values()), "links": out_links}
def _wd_cache_get(key: str) -> dict[str, Any] | None:
with _WD_LOCK:
entry = _WD_CACHE.get(key)
if not entry:
return None
ts, data = entry
if time.time() - ts > _WD_TTL:
_WD_CACHE.pop(key, None)
return None
return data
def _wd_cache_set(key: str, data: dict[str, Any]) -> None:
with _WD_LOCK:
if len(_WD_CACHE) > 5000:
oldest = next(iter(_WD_CACHE))
_WD_CACHE.pop(oldest, None)
_WD_CACHE[key] = (time.time(), data)
def _add_sanctions(id_label: str, root_id: str, nodes: list, links: list) -> None:
for hit in search_sanctions(id_label, limit=3):
sid = f"sanction:{hit['id']}"
nodes.append(
{
"id": sid,
"label": hit["name"],
"type": "sanction",
"properties": {"programs": hit.get("programs"), "source": "OFAC SDN"},
}
)
links.append({"source": root_id, "target": sid, "label": "SANCTIONS MATCH"})
def _sparql(query: str) -> list[dict[str, Any]]:
url = f"https://query.wikidata.org/sparql?query={quote(query)}&format=json"
resp = fetch_with_curl(url, timeout=10, headers={"User-Agent": _WD_UA, "Accept": "application/sparql-results+json"})
if resp.status_code != 200:
return []
try:
data = resp.json()
except Exception:
return []
return data.get("results", {}).get("bindings", [])
def _wd_search(label: str) -> str | None:
url = (
"https://www.wikidata.org/w/api.php?action=wbsearchentities"
f"&search={quote(label)}&language=en&limit=1&format=json"
)
resp = fetch_with_curl(url, timeout=5, headers={"User-Agent": _WD_UA})
if resp.status_code != 200:
return None
try:
hits = resp.json().get("search") or []
except Exception:
return None
return hits[0]["id"] if hits else None
def _resolve_ip(id_value: str) -> dict[str, Any]:
cache_key = f"ip:{id_value}"
cached = _wd_cache_get(cache_key)
if cached:
return cached
root_id = f"ip:{id_value}"
nodes: list[dict] = [{"id": root_id, "label": id_value, "type": "ip", "properties": {}}]
links: list[dict] = []
geo = fetch_with_curl(
f"https://ip-api.com/json/{quote(id_value)}"
"?fields=status,country,countryCode,city,lat,lon,isp,org,as,asname,proxy,hosting,mobile",
timeout=8,
)
if geo.status_code == 200:
try:
data = geo.json()
except Exception:
data = {}
if data.get("status") == "success":
nodes[0]["properties"] = {
"proxy": bool(data.get("proxy")),
"hosting": bool(data.get("hosting")),
"mobile": bool(data.get("mobile")),
"source": "ip-api.com",
}
if data.get("isp"):
iid = f"company:{data['isp']}"
nodes.append({"id": iid, "label": data["isp"], "type": "company", "properties": {"role": "ISP"}})
links.append({"source": root_id, "target": iid, "label": "HOSTED_BY"})
if data.get("country"):
cid = f"country:{data['country']}"
nodes.append(
{
"id": cid,
"label": data["country"],
"type": "country",
"properties": {"code": data.get("countryCode")},
}
)
links.append({"source": root_id, "target": cid, "label": "LOCATED_IN"})
for val in (data.get("isp"), data.get("org"), data.get("asname")):
if val:
for entry in match_exact(val):
sid = f"sanction:{entry['id']}"
nodes.append({"id": sid, "label": entry["name"], "type": "sanction", "properties": {}})
links.append({"source": root_id, "target": sid, "label": "SANCTIONS MATCH"})
whois = fetch_with_curl(
f"https://stat.ripe.net/data/whois/data.json?resource={quote(id_value)}",
timeout=8,
)
if whois.status_code == 200:
try:
records = whois.json().get("data", {}).get("records") or []
except Exception:
records = []
for record in records:
for field in record:
if field.get("key") in ("netname", "NetName"):
nid = f"company:{field['value']}"
nodes.append({"id": nid, "label": field["value"], "type": "company", "properties": {"role": "Network"}})
links.append({"source": root_id, "target": nid, "label": "HOSTED_BY"})
result = _dedup(nodes, links)
_wd_cache_set(cache_key, result)
return result
def _resolve_company(id_value: str) -> dict[str, Any]:
cache_key = f"company:{id_value}"
cached = _wd_cache_get(cache_key)
if cached:
return cached
root_id = f"company:{id_value}"
nodes = [{"id": root_id, "label": id_value, "type": "company", "properties": {}}]
links: list[dict] = []
safe = re.sub(r'[^a-zA-Z0-9 \-._]', '', id_value).strip()
qid = _wd_search(safe)
filt = f"VALUES ?item {{ wd:{qid} }}" if qid else f'?item rdfs:label "{safe}"@en . ?item wdt:P31/wdt:P279* wd:Q4830453 .'
rows = _sparql(
f"""
SELECT ?countryLabel ?parentLabel ?ceoLabel WHERE {{
{filt}
OPTIONAL {{ ?item wdt:P17 ?country . }}
OPTIONAL {{ ?item wdt:P749 ?parent . }}
OPTIONAL {{ ?item wdt:P169 ?ceo . }}
SERVICE wikibase:label {{ bd:serviceParam wikibase:language "en" . }}
}} LIMIT 10
"""
)
for row in rows:
if row.get("countryLabel", {}).get("value"):
cid = f"country:{row['countryLabel']['value']}"
nodes.append({"id": cid, "label": row["countryLabel"]["value"], "type": "country", "properties": {}})
links.append({"source": root_id, "target": cid, "label": "HEADQUARTERED"})
if row.get("parentLabel", {}).get("value"):
pid = f"company:{row['parentLabel']['value']}"
nodes.append({"id": pid, "label": row["parentLabel"]["value"], "type": "company", "properties": {}})
links.append({"source": root_id, "target": pid, "label": "PARENT ORG"})
if row.get("ceoLabel", {}).get("value"):
pid = f"person:{row['ceoLabel']['value']}"
nodes.append({"id": pid, "label": row["ceoLabel"]["value"], "type": "person", "properties": {"role": "CEO"}})
links.append({"source": root_id, "target": pid, "label": "CEO"})
_add_sanctions(id_value, root_id, nodes, links)
result = _dedup(nodes, links)
_wd_cache_set(cache_key, result)
return result
def _resolve_from_store(entity_type: str, id_value: str, props: dict[str, Any]) -> dict[str, Any]:
from services.fetchers._store import get_latest_data_subset_refs
root_id = f"{entity_type}:{id_value}"
nodes = [{"id": root_id, "label": props.get("label") or id_value, "type": entity_type, "properties": props}]
links: list[dict] = []
data = get_latest_data_subset_refs("flights", "ships", "military_flights", "tracked_flights")
if entity_type == "aircraft":
icao = (props.get("icao24") or id_value).lower()
for bucket in ("military_flights", "tracked_flights", "flights"):
for f in data.get(bucket) or []:
if str(f.get("icao24", "")).lower() == icao:
if f.get("country"):
cid = f"country:{f['country']}"
nodes.append({"id": cid, "label": f["country"], "type": "country", "properties": {}})
links.append({"source": root_id, "target": cid, "label": "REGISTERED_IN"})
if f.get("registration"):
nodes[0]["properties"]["registration"] = f["registration"]
break
elif entity_type == "vessel":
mmsi = str(props.get("mmsi") or id_value)
for ship in data.get("ships") or []:
if str(ship.get("mmsi")) == mmsi:
if ship.get("country"):
cid = f"country:{ship['country']}"
nodes.append({"id": cid, "label": ship["country"], "type": "country", "properties": {}})
links.append({"source": root_id, "target": cid, "label": "FLAG"})
break
_add_sanctions(id_value, root_id, nodes, links)
return _dedup(nodes, links)
def resolve_entity(entity_type: str, id_value: str, properties: dict[str, Any] | None = None) -> dict[str, Any]:
etype = (entity_type or "").lower().strip()
eid = (id_value or "").strip()
if etype not in ALLOWED_TYPES:
raise ValueError(f"Invalid type. Allowed: {', '.join(sorted(ALLOWED_TYPES))}")
if len(eid) < 2 or len(eid) > 200:
raise ValueError("Invalid id (2-200 chars)")
props = properties or {}
if etype == "ip":
return _resolve_ip(eid)
if etype in ("company", "person", "country"):
if etype == "company":
return _resolve_company(eid)
if etype == "person":
root_id = f"person:{eid}"
nodes = [{"id": root_id, "label": eid, "type": "person", "properties": {}}]
links: list[dict] = []
_add_sanctions(eid, root_id, nodes, links)
return _dedup(nodes, links)
root_id = f"country:{eid}"
nodes = [{"id": root_id, "label": eid, "type": "country", "properties": {}}]
links = []
_add_sanctions(eid, root_id, nodes, links)
return _dedup(nodes, links)
return _resolve_from_store(etype, eid, props)
@@ -1,81 +0,0 @@
"""Operator opt-in for Polymarket/Kalshi outbound fetches (Global Threat Intercept)."""
from __future__ import annotations
import json
import logging
import os
import threading
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
_OPT_IN_FILE = Path(__file__).resolve().parent.parent / "data" / "prediction_markets_opt_in.json"
_OPT_IN_LOCK = threading.Lock()
def _env_flag(name: str) -> str:
return str(os.getenv(name, "")).strip().lower()
def get_prediction_markets_ui_opt_in() -> bool:
if not _OPT_IN_FILE.exists():
return False
try:
payload = json.loads(_OPT_IN_FILE.read_text(encoding="utf-8"))
return bool(payload.get("opted_in"))
except (OSError, json.JSONDecodeError, TypeError) as exc:
logger.warning("Prediction markets opt-in file unreadable: %s", exc)
return False
def set_prediction_markets_ui_opt_in(opted_in: bool) -> None:
_OPT_IN_FILE.parent.mkdir(parents=True, exist_ok=True)
with _OPT_IN_LOCK:
_OPT_IN_FILE.write_text(
json.dumps({"opted_in": bool(opted_in)}, indent=2),
encoding="utf-8",
)
def prediction_markets_env_forced_on() -> bool:
return _env_flag("PREDICTION_MARKETS_ENABLED") in {"1", "true", "yes", "on"}
def prediction_markets_env_forced_off() -> bool:
return _env_flag("PREDICTION_MARKETS_ENABLED") in {"0", "false", "no", "off"}
def prediction_markets_fetch_enabled() -> bool:
"""True when UI opt-in or env enables Polymarket/Kalshi pulls."""
if get_prediction_markets_ui_opt_in():
return True
return prediction_markets_env_forced_on()
def prediction_markets_status() -> dict[str, Any]:
ui_opted_in = get_prediction_markets_ui_opt_in()
env_on = prediction_markets_env_forced_on()
env_off = prediction_markets_env_forced_off()
env_override = None
if env_on:
env_override = "on"
elif env_off:
env_override = "off"
return {
"enabled": prediction_markets_fetch_enabled(),
"ui_opted_in": ui_opted_in,
"env_override": env_override,
"jitter": {
"scheduler_interval_minutes": int(
os.environ.get("PREDICTION_MARKETS_INTERVAL_MINUTES", "7")
),
"scheduler_jitter_seconds": int(
os.environ.get("PREDICTION_MARKETS_SCHEDULER_JITTER_S", "240")
),
"pre_fetch_jitter_seconds": float(
os.environ.get("PREDICTION_MARKETS_PRE_FETCH_JITTER_S", "90")
),
},
}
+20 -61
View File
@@ -2,34 +2,14 @@ import requests
from bs4 import BeautifulSoup
import logging
from cachetools import cached, TTLCache
import cloudscraper
import reverse_geocoder as rg
from urllib.parse import urlparse
from services.network_utils import outbound_user_agent
logger = logging.getLogger(__name__)
_OPENMHZ_AUDIO_HOSTS = {"media.openmhz.com", "media2.openmhz.com", "media3.openmhz.com"}
# Round 7a / Issues #289, #290, #291 (tg12 audit):
# We previously sent a spoofed Chrome User-Agent and (for OpenMHz) used
# cloudscraper to bypass anti-bot challenges. Both are dishonest and ToS-
# unfriendly. We now send the per-install Shadowbroker UA — the upstream
# can identify us, rate-limit us per install, and contact us if needed.
#
# If the upstream actively blocks our honest UA, the feature degrades
# gracefully (returns an empty list / cached results) rather than
# escalating to deception.
def _broadcastify_user_agent() -> str:
return outbound_user_agent("broadcastify")
def _openmhz_user_agent() -> str:
return outbound_user_agent("openmhz")
# Cache the top feeds for 5 minutes so we don't hammer Broadcastify
radio_cache = TTLCache(maxsize=1, ttl=300)
@@ -42,12 +22,8 @@ def get_top_broadcastify_feeds():
"""
logger.info("Scraping Broadcastify Top Feeds (Cache Miss)")
headers = {
# Issue #289 (tg12) + Round 7a: identify ourselves honestly as a
# per-install Shadowbroker scraper. Broadcastify can rate-limit
# us per install or block us; either way we stop pretending to be
# a browser. If they block, the panel degrades gracefully.
"User-Agent": _broadcastify_user_agent(),
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9",
}
@@ -113,32 +89,21 @@ openmhz_systems_cache = TTLCache(maxsize=1, ttl=3600)
@cached(openmhz_systems_cache)
def get_openmhz_systems():
"""Fetches the full directory of OpenMHZ systems.
"""Fetches the full directory of OpenMHZ systems."""
logger.info("Scraping OpenMHZ Systems (Cache Miss)")
scraper = cloudscraper.create_scraper(
browser={"browser": "chrome", "platform": "windows", "desktop": True}
)
Issue #290 (tg12) + Round 7a: replaced cloudscraper-based Chrome
impersonation with an honest per-install Shadowbroker User-Agent.
If OpenMHz's Cloudflare layer blocks honest traffic, we accept
that degradation (return empty list) rather than spoof a browser.
"""
logger.info("Fetching OpenMHZ Systems (Cache Miss)")
try:
res = requests.get(
"https://api.openmhz.com/systems",
timeout=15,
headers={"User-Agent": _openmhz_user_agent(), "Accept": "application/json"},
)
res = scraper.get("https://api.openmhz.com/systems", timeout=15)
if res.status_code == 200:
data = res.json()
# Return list of systems
return data.get("systems", []) if isinstance(data, dict) else []
if res.status_code in (403, 503):
logger.warning(
"OpenMHZ returned %s for systems directory — Cloudflare may "
"be blocking our honest UA. Feature degrades to empty result.",
res.status_code,
)
return []
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"OpenMHZ Systems Fetch Exception: {e}")
logger.error(f"OpenMHZ Systems Scrape Exception: {e}")
return []
@@ -148,25 +113,21 @@ openmhz_calls_cache = TTLCache(maxsize=100, ttl=20)
@cached(openmhz_calls_cache)
def get_recent_openmhz_calls(sys_name: str):
"""Fetches the actual audio burst .m4a URLs for a specific system (e.g., 'wmata').
Issue #290 (tg12) + Round 7a: same honest-UA model as
``get_openmhz_systems``.
"""
"""Fetches the actual audio burst .m4a URLs for a specific system (e.g., 'wmata')."""
logger.info(f"Fetching OpenMHZ calls for {sys_name} (Cache Miss)")
scraper = cloudscraper.create_scraper(
browser={"browser": "chrome", "platform": "windows", "desktop": True}
)
try:
url = f"https://api.openmhz.com/{sys_name}/calls"
res = requests.get(
url,
timeout=15,
headers={"User-Agent": _openmhz_user_agent(), "Accept": "application/json"},
)
res = scraper.get(url, timeout=15)
if res.status_code == 200:
data = res.json()
return data.get("calls", []) if isinstance(data, dict) else []
return []
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"OpenMHZ Calls Fetch Exception ({sys_name}): {e}")
logger.error(f"OpenMHZ Calls Scrape Exception ({sys_name}): {e}")
return []
@@ -202,11 +163,9 @@ def openmhz_audio_response(target_url: str):
timeout=(5, 20),
allow_redirects=False,
headers={
# Issue #291 (tg12) + Round 7a: drop spoofed Mozilla
# UA and the fake first-party Referer. Identify as
# the per-install Shadowbroker proxy honestly.
"User-Agent": _openmhz_user_agent(),
"User-Agent": "Mozilla/5.0",
"Accept": "audio/mpeg,audio/*,*/*;q=0.8",
"Referer": "https://openmhz.com/",
},
)
if upstream.is_redirect or upstream.status_code in (301, 302, 303, 307, 308):
+6 -70
View File
@@ -4,7 +4,7 @@ import concurrent.futures
from urllib.parse import quote
import requests as _requests
from cachetools import TTLCache
from services.network_utils import fetch_with_curl, outbound_user_agent
from services.network_utils import fetch_with_curl
logger = logging.getLogger(__name__)
@@ -15,31 +15,6 @@ dossier_cache = TTLCache(maxsize=500, ttl=86400)
# Nominatim requires max 1 req/sec — track last call time
_nominatim_last_call = 0.0
# Issues #218 / #219 (tg12): Wikimedia's User-Agent policy requires API
# clients to identify themselves with a stable User-Agent that includes
# a contact path.
#
# Round 7a: the original fix in PR #284 used a single project-wide
# identifier, which from Wikimedia's perspective made every Shadowbroker
# install in the world look like one giant scraper. If one install
# misbehaved, their only recourse was to block "Shadowbroker" as a
# whole. We now build the headers from ``outbound_user_agent('wikimedia')``
# which embeds the per-install operator handle (auto-generated or
# operator-chosen), so Wikimedia can rate-limit / contact the specific
# install instead of the project.
def _wikimedia_request_headers() -> dict[str, str]:
ua = outbound_user_agent("wikimedia")
return {
"User-Agent": ua,
# Browser-JS-style header that Wikimedia's policy explicitly
# accepts on top of (or instead of) User-Agent. We send both so
# whichever the upstream prefers, the per-operator handle is
# always available.
"Api-User-Agent": ua,
}
def _reverse_geocode_offline(lat: float, lng: float) -> dict:
"""Offline fallback via reverse_geocoder when external reverse geocoding is blocked."""
@@ -70,7 +45,9 @@ def _reverse_geocode(lat: float, lng: float) -> dict:
f"https://nominatim.openstreetmap.org/reverse?"
f"lat={lat}&lon={lng}&format=json&zoom=10&addressdetails=1&accept-language=en"
)
headers = {"User-Agent": outbound_user_agent("nominatim")}
headers = {
"User-Agent": "ShadowBroker-OSINT/1.0 (live-risk-dashboard; contact@shadowbroker.app)"
}
for attempt in range(2):
# Enforce Nominatim's 1 req/sec policy
@@ -144,13 +121,7 @@ def _fetch_wikidata_leader(country_name: str) -> dict:
"""
url = f"https://query.wikidata.org/sparql?query={quote(sparql)}&format=json"
try:
# Issue #218 (tg12): Wikimedia's User-Agent policy requires
# outbound API traffic to be identifiable. fetch_with_curl()
# sends the project default, and we also add the Wikimedia-
# specific Api-User-Agent that the policy specifically asks
# for, since this request originates from a backend service
# that proxies on behalf of (potentially many) browser users.
res = fetch_with_curl(url, timeout=6, headers=_wikimedia_request_headers())
res = fetch_with_curl(url, timeout=6)
if res.status_code == 200:
results = res.json().get("results", {}).get("bindings", [])
if results:
@@ -176,9 +147,7 @@ def _fetch_local_wiki_summary(place_name: str, country_name: str = "") -> dict:
slug = quote(name.replace(" ", "_"))
url = f"https://en.wikipedia.org/api/rest_v1/page/summary/{slug}"
try:
# Issue #219 (tg12): identify ourselves to Wikimedia per
# their UA policy; see _fetch_wikidata_leader above.
res = fetch_with_curl(url, timeout=5, headers=_wikimedia_request_headers())
res = fetch_with_curl(url, timeout=5)
if res.status_code == 200:
data = res.json()
if data.get("type") != "disambiguation":
@@ -301,36 +270,3 @@ def get_region_dossier(lat: float, lng: float) -> dict:
dossier_cache[cache_key] = result
return result
def fetch_wikipedia_page_summary(title: str) -> dict | None:
"""Wikipedia REST summary for a page title (backend-proxied for #360)."""
trimmed = (title or "").strip()
if not trimmed:
return None
data = _fetch_local_wiki_summary(trimmed, "")
if not data.get("extract") and not data.get("description"):
return None
return {
"title": trimmed,
"description": data.get("description", ""),
"extract": data.get("extract", ""),
"thumbnail": data.get("thumbnail", ""),
"type": "standard",
}
def fetch_wikidata_sparql_bindings(sparql: str) -> list:
"""Run a Wikidata SPARQL query; returns bindings list (empty on failure)."""
trimmed = (sparql or "").strip()
if not trimmed:
return []
url = f"https://query.wikidata.org/sparql?query={quote(trimmed)}&format=json"
try:
res = fetch_with_curl(url, timeout=8, headers=_wikimedia_request_headers())
if res.status_code == 200:
bindings = res.json().get("results", {}).get("bindings", [])
return bindings if isinstance(bindings, list) else []
except (ConnectionError, TimeoutError, ValueError, KeyError, OSError) as e:
logger.warning("Wikidata SPARQL failed: %s", e)
return []
@@ -1,5 +0,0 @@
"""Sentinel-2 road corridor freight trend analysis (DrishX engine port)."""
from .config import optional_deps_available, road_corridor_sat_enabled
__all__ = ["optional_deps_available", "road_corridor_sat_enabled"]
@@ -1,4 +0,0 @@
from .cli import main
if __name__ == "__main__":
raise SystemExit(main())
-53
View File
@@ -1,53 +0,0 @@
"""CLI for manual road corridor analysis runs."""
from __future__ import annotations
import argparse
import logging
import sys
from .config import optional_deps_available, road_corridor_sat_enabled
from .credentials import sentinel_credentials_configured
from .pipeline import analyze_preset
from .presets import CORRIDOR_PRESETS
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description="Run Sentinel-2 road corridor truck trend analysis")
parser.add_argument("--preset", required=True, help="Preset id (e.g. laredo_i35)")
parser.add_argument("-v", "--verbose", action="store_true")
args = parser.parse_args(argv)
logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
if not optional_deps_available():
print(
"Install optional deps: uv sync --extra road-corridor "
"(geopandas, osmnx, rasterio, sentinelhub, scikit-learn, imageio)",
file=sys.stderr,
)
return 2
if not road_corridor_sat_enabled() and not args.verbose:
print("Note: ROAD_CORRIDOR_SAT_ENABLED is off — CLI still runs for manual analysis.")
if not sentinel_credentials_configured():
print("Set SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET first.", file=sys.stderr)
return 2
valid = {p["id"] for p in CORRIDOR_PRESETS}
if args.preset not in valid:
print(f"Unknown preset {args.preset!r}. Choose from: {', '.join(sorted(valid))}", file=sys.stderr)
return 2
def progress(msg: str, pct: int | None = None) -> None:
suffix = f" ({pct}%)" if pct is not None else ""
print(f"{msg}{suffix}")
result = analyze_preset(args.preset, progress_cb=progress)
print(
f"Done: {result.get('total_detections', 0)} detections across "
f"{len(result.get('daily_counts') or [])} days — status={result.get('status')}"
)
return 0 if result.get("status") == "ok" else 1
if __name__ == "__main__":
raise SystemExit(main())
@@ -1,41 +0,0 @@
"""Configuration for Sentinel-2 road corridor trend analysis."""
from __future__ import annotations
import os
from pathlib import Path
_BACKEND_ROOT = Path(__file__).resolve().parents[2]
DATA_ROOT = Path(os.environ.get("ROAD_CORRIDOR_DATA_DIR", str(_BACKEND_ROOT / "data" / "road_corridors")))
CACHE_DIR = DATA_ROOT / "cache"
DETECTION_CROP_DIR = DATA_ROOT / "detection_crops"
STATE_PATH = DATA_ROOT / "_refresh_state.json"
DEFAULT_MONTHS = int(os.environ.get("ROAD_CORRIDOR_MONTHS", "2"))
DEFAULT_MAX_FRAMES = int(os.environ.get("ROAD_CORRIDOR_MAX_FRAMES", "6"))
SCHEDULED_PRESET_IDS = [
s.strip()
for s in os.environ.get("ROAD_CORRIDOR_SCHEDULED_PRESETS", "laredo_i35").split(",")
if s.strip()
]
def road_corridor_sat_enabled() -> bool:
return os.environ.get("ROAD_CORRIDOR_SAT_ENABLED", "").strip().lower() in {
"1",
"true",
"yes",
"on",
}
def optional_deps_available() -> bool:
try:
import geopandas # noqa: F401
import osmnx # noqa: F401
import rasterio # noqa: F401
import sentinelhub # noqa: F401
import sklearn # noqa: F401
return True
except ImportError:
return False
@@ -1,37 +0,0 @@
"""Reuse Shadowbroker Sentinel Hub / Copernicus CDSE credentials."""
from __future__ import annotations
import os
from .config import CACHE_DIR
def resolve_sentinel_credentials() -> tuple[str, str]:
client_id = (os.environ.get("SENTINEL_CLIENT_ID") or "").strip()
client_secret = (os.environ.get("SENTINEL_CLIENT_SECRET") or "").strip()
return client_id, client_secret
def sentinel_credentials_configured() -> bool:
client_id, client_secret = resolve_sentinel_credentials()
return bool(client_id and client_secret)
def build_sh_config():
from sentinelhub import SHConfig
client_id, client_secret = resolve_sentinel_credentials()
if not client_id or not client_secret:
raise RuntimeError(
"SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET are required for road corridor analysis"
)
config = SHConfig()
config.sh_client_id = client_id
config.sh_client_secret = client_secret
config.sh_base_url = "https://sh.dataspace.copernicus.eu"
config.sh_token_url = (
"https://identity.dataspace.copernicus.eu/auth/realms/CDSE/protocol/openid-connect/token"
)
CACHE_DIR.mkdir(parents=True, exist_ok=True)
config.cache_dir = str(CACHE_DIR / "sentinelhub")
return config
-149
View File
@@ -1,149 +0,0 @@
"""In-memory job queue for on-demand Analyze Here runs."""
from __future__ import annotations
import logging
import threading
import uuid
from dataclasses import dataclass
from typing import Any
logger = logging.getLogger(__name__)
_lock = threading.Lock()
_jobs: dict[str, AnalyzeJob] = {}
@dataclass
class AnalyzeJob:
job_id: str
lat: float
lon: float
status: str = "queued"
message: str = "Queued"
progress: int = 0
result: dict[str, Any] | None = None
error: str | None = None
def get_job(job_id: str) -> AnalyzeJob | None:
with _lock:
return _jobs.get(job_id)
def get_latest_job() -> AnalyzeJob | None:
with _lock:
if not _jobs:
return None
return max(_jobs.values(), key=lambda j: j.job_id)
def _running_job() -> AnalyzeJob | None:
with _lock:
for job in _jobs.values():
if job.status in {"queued", "running"}:
return job
return None
def _prune_jobs(max_keep: int = 8) -> None:
with _lock:
if len(_jobs) <= max_keep:
return
ordered = sorted(_jobs.items(), key=lambda item: item[0], reverse=True)
for job_id, _ in ordered[max_keep:]:
_jobs.pop(job_id, None)
def _worker(job_id: str, lat: float, lon: float, label: str | None) -> None:
from services.fetchers.road_corridor_sat import refresh_road_corridor_store
from .pipeline import analyze_corridor
from .viewport import adhoc_preset_id, bbox_around_point, default_label_for_point
job = get_job(job_id)
if job is None:
return
def progress(msg: str, pct: int | None = None) -> None:
with _lock:
current = _jobs.get(job_id)
if current is None:
return
current.message = msg
if pct is not None:
current.progress = pct
with _lock:
job.status = "running"
job.message = "Starting road corridor analysis"
job.progress = 0
try:
bbox = bbox_around_point(lat, lon)
preset_id = adhoc_preset_id(lat, lon)
corridor_label = label or default_label_for_point(lat, lon)
result = analyze_corridor(
preset_id=preset_id,
label=corridor_label,
bbox=bbox,
country="adhoc",
category="viewport",
progress_cb=progress,
)
refresh_road_corridor_store()
with _lock:
current = _jobs.get(job_id)
if current is None:
return
current.status = "ok" if result.get("status") == "ok" else "error"
current.result = result
current.error = result.get("error")
current.message = (
f"{result.get('total_detections', 0)} signatures · "
f"{len(result.get('daily_counts') or [])} days"
)
current.progress = 100
except Exception as exc:
logger.exception("road corridor analyze job %s failed", job_id)
with _lock:
current = _jobs.get(job_id)
if current is None:
return
current.status = "error"
current.error = str(exc)
current.message = "Analysis failed"
current.progress = 100
def enqueue_analyze(lat: float, lon: float, label: str | None = None) -> AnalyzeJob:
running = _running_job()
if running is not None:
raise RuntimeError("analysis_already_running")
job_id = uuid.uuid4().hex[:12]
job = AnalyzeJob(job_id=job_id, lat=lat, lon=lon)
with _lock:
_jobs[job_id] = job
_prune_jobs()
thread = threading.Thread(
target=_worker,
args=(job_id, lat, lon, label),
name=f"road-corridor-analyze-{job_id}",
daemon=True,
)
thread.start()
return job
def job_to_dict(job: AnalyzeJob) -> dict[str, Any]:
return {
"job_id": job.job_id,
"lat": job.lat,
"lon": job.lon,
"status": job.status,
"message": job.message,
"progress": job.progress,
"result": job.result,
"error": job.error,
}
@@ -1,216 +0,0 @@
"""Run Sentinel-2 road-corridor truck trend analysis for a bbox preset."""
from __future__ import annotations
import logging
from collections.abc import Callable
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import datetime, timedelta
from typing import Any
from .config import CACHE_DIR, DEFAULT_MAX_FRAMES, DEFAULT_MONTHS, DETECTION_CROP_DIR
from .storage import store_analysis_result
logger = logging.getLogger(__name__)
ProgressCb = Callable[[str, int | None], None]
_EVALSCRIPT = """//VERSION=3
function setup() {
return {
input: ["B02", "B03", "B04", "B08", "CLM"],
output: { id: "default", bands: 5, sampleType: "FLOAT32" }
};
}
function evaluatePixel(s) {
return [s.B04, s.B03, s.B02, s.B08, s.CLM];
}"""
def _noop_progress(_msg: str, _pct: int | None = None) -> None:
return None
def analyze_corridor(
*,
preset_id: str,
label: str,
bbox: list[float],
country: str = "",
category: str = "",
months: int = DEFAULT_MONTHS,
max_frames: int = DEFAULT_MAX_FRAMES,
progress_cb: ProgressCb | None = None,
) -> dict[str, Any]:
"""Synchronously analyze one corridor bbox and persist daily truck-count trends."""
from rasterio import features as rio_features
from rasterio import transform as rio_transform
from sentinelhub import BBox, CRS, DataCollection, MimeType, SentinelHubCatalog, SentinelHubRequest
from .credentials import build_sh_config
from .s2_truck_detect import S2TruckEngine
progress = progress_cb or _noop_progress
min_lat, min_lon, max_lat, max_lon = bbox
if abs(max_lat - min_lat) > 0.5 or abs(max_lon - min_lon) > 0.5:
raise ValueError("AOI too large. Max strategic sector is ~55 km x 55 km.")
CACHE_DIR.mkdir(parents=True, exist_ok=True)
engine = S2TruckEngine(
cache_dir=str(CACHE_DIR),
detection_dir=str(DETECTION_CROP_DIR),
)
config = build_sh_config()
progress(f"Road discovery for {label}", 10)
roads = engine.fetch_roads(bbox)
if roads.empty:
return store_analysis_result(
preset_id,
label=label,
bbox=bbox,
country=country,
category=category,
road_count=0,
frame_count=0,
detections=[],
status="error",
error="No major roads found in AOI.",
)
progress(f"Found {len(roads)} road segments — querying Copernicus catalog", 25)
sh_bbox = BBox(bbox=[min_lon, min_lat, max_lon, max_lat], crs=CRS.WGS84)
catalog = SentinelHubCatalog(config=config)
end_date = datetime.utcnow()
start_date = end_date - timedelta(days=max(1, months) * 30)
cdse_collection = DataCollection.SENTINEL2_L2A.define_from(
"s2l2a",
service_url=config.sh_base_url,
)
search_results = list(
catalog.search(
cdse_collection,
bbox=sh_bbox,
datetime=(
f"{start_date.strftime('%Y-%m-%dT00:00:00Z')}/"
f"{end_date.strftime('%Y-%m-%dT23:59:59Z')}"
),
filter="eo:cloud_cover < 60",
fields={"include": ["properties.datetime", "id"], "exclude": []},
)
)
unique_scenes: dict[str, Any] = {}
for res in search_results:
date_key = res["properties"]["datetime"][:10]
if date_key not in unique_scenes:
unique_scenes[date_key] = res
final_obs = [unique_scenes[d] for d in sorted(unique_scenes.keys(), reverse=True)]
final_obs = final_obs[: max(1, max_frames)]
if not final_obs:
return store_analysis_result(
preset_id,
label=label,
bbox=bbox,
country=country,
category=category,
road_count=len(roads),
frame_count=0,
detections=[],
status="error",
error=f"No clear imagery found in the last {months} months.",
)
def _fetch_frame(idx: int, res_obs: dict[str, Any]):
try:
date_str = res_obs["properties"]["datetime"]
req_sh = SentinelHubRequest(
evalscript=_EVALSCRIPT,
input_data=[
SentinelHubRequest.input_data(
data_collection=cdse_collection,
time_interval=(date_str, date_str),
)
],
responses=[SentinelHubRequest.output_response("default", MimeType.TIFF)],
bbox=sh_bbox,
config=config,
)
data_list = req_sh.get_data()
if not data_list:
return idx, date_str, None
return idx, date_str, data_list[0]
except Exception as exc:
logger.error("Sentinel frame %s failed: %s", idx, exc)
return idx, None, None
progress(f"Seed frame 1/{len(final_obs)}", 35)
_, seed_ts, seed_data = _fetch_frame(0, final_obs[0])
if seed_data is None:
return store_analysis_result(
preset_id,
label=label,
bbox=bbox,
country=country,
category=category,
road_count=len(roads),
frame_count=0,
detections=[],
status="error",
error="Failed to acquire seed spectral data.",
)
roads_buf = roads.to_crs(epsg=3857).buffer(20).to_crs(epsg=4326)
h, w = seed_data.shape[:2]
trans = rio_transform.from_bounds(min_lon, min_lat, max_lon, max_lat, w, h)
road_mask = rio_features.rasterize(
[(geom.__geo_interface__, 1) for geom in roads_buf.geometry],
out_shape=(h, w),
transform=trans,
fill=0,
all_touched=True,
)
detections: list[dict[str, Any]] = []
detections.extend(engine.detect_trucks(seed_data, bbox, final_obs[0]["properties"]["datetime"], road_mask))
if len(final_obs) > 1:
progress(f"Parallel frames ({len(final_obs) - 1} remaining)", 45)
with ThreadPoolExecutor(max_workers=3, thread_name_prefix="road-corridor") as executor:
futures = {
executor.submit(_fetch_frame, i, final_obs[i]): i for i in range(1, len(final_obs))
}
done = 1
for future in as_completed(futures):
idx, date_str, frame_data = future.result()
done += 1
if frame_data is not None and date_str:
detections.extend(engine.detect_trucks(frame_data, bbox, date_str, road_mask))
progress(f"Frame {done}/{len(final_obs)}", 45 + int((done / len(final_obs)) * 50))
progress(f"Complete — {len(detections)} truck signatures", 100)
return store_analysis_result(
preset_id,
label=label,
bbox=bbox,
country=country,
category=category,
road_count=len(roads),
frame_count=len(final_obs),
detections=detections,
status="ok",
)
def analyze_preset(preset_id: str, progress_cb: ProgressCb | None = None) -> dict[str, Any]:
from .presets import get_preset
preset = get_preset(preset_id)
if preset is None:
raise KeyError(f"Unknown preset: {preset_id}")
return analyze_corridor(
preset_id=preset["id"],
label=preset["label"],
bbox=preset["bbox"],
country=preset["country"],
category=preset["category"],
progress_cb=progress_cb,
)
@@ -1,59 +0,0 @@
"""Preset freight / chokepoint corridors for scheduled trend analysis."""
from __future__ import annotations
from typing import TypedDict
class CorridorPreset(TypedDict):
id: str
label: str
bbox: list[float] # [min_lat, min_lon, max_lat, max_lon]
country: str
category: str
# Bboxes are small (~510 km) highway segments suitable for 10 m Sentinel-2 analysis.
CORRIDOR_PRESETS: list[CorridorPreset] = [
{
"id": "laredo_i35",
"label": "Laredo I-35 (USMexico freight)",
"bbox": [27.48, -99.58, 27.54, -99.48],
"country": "USA / Mexico",
"category": "border_crossing",
},
{
"id": "bandar_abbas_feeder",
"label": "Bandar Abbas port feeder (Highway 71)",
"bbox": [27.12, 56.22, 27.22, 56.38],
"country": "Iran",
"category": "port_feeder",
},
{
"id": "rotterdam_a15",
"label": "Rotterdam A15 port feeder",
"bbox": [51.88, 4.42, 51.96, 4.58],
"country": "Netherlands",
"category": "port_feeder",
},
{
"id": "mombasa_nairobi_a109",
"label": "MombasaNairobi A109 corridor",
"bbox": [-4.10, 39.55, -1.20, 37.00],
"country": "Kenya",
"category": "trade_corridor",
},
{
"id": "braunschweig_a7",
"label": "Braunschweig A7 (validation)",
"bbox": [52.25, 10.45, 52.32, 10.55],
"country": "Germany",
"category": "validation",
},
]
def get_preset(preset_id: str) -> CorridorPreset | None:
for preset in CORRIDOR_PRESETS:
if preset["id"] == preset_id:
return preset
return None
@@ -1,731 +0,0 @@
"""S2 truck motion detection core (DrishX / Fisser et al. 2022 — see third_party/drishx/NOTICE.md)."""
from __future__ import annotations
import logging
import os
import pickle
import time
from pathlib import Path
import imageio.v3 as imageio
import numpy as np
import requests
from requests.adapters import HTTPAdapter
from shapely.geometry import LineString
from urllib3.util.retry import Retry
logger = logging.getLogger(__name__)
SECONDS_OFFSET_B02_B04 = 1.01
OVERPASS_MIRRORS = [
"https://lz4.overpass-api.de/api/interpreter",
"https://z.overpass-api.de/api/interpreter",
"https://overpass.osm.ch/api/interpreter",
"https://overpass-api.de/api/interpreter",
]
_session = requests.Session()
_retry = Retry(
total=2,
backoff_factor=1.0,
status_forcelist=[429, 500, 502, 503, 504],
allowed_methods=["GET", "POST"],
)
_adapter = HTTPAdapter(max_retries=_retry)
_session.mount("http://", _adapter)
_session.mount("https://", _adapter)
def _configure_osmnx(data_dir: str) -> None:
import osmnx as ox
ox.settings.requests_session = _session
ox.settings.requests_timeout = 30
ox.settings.overpass_rate_limit = False
ox.settings.max_query_area_size = 1_000_000_000_000
ox.settings.log_console = False
ox.settings.use_cache = True
ox.settings.cache_folder = os.path.join(data_dir, "osm_cache")
def _default_rf_model_path() -> str:
return str(Path(__file__).resolve().parents[2] / "data" / "drishx" / "rf_model.pickle")
# ─────────────────────────────────────────────────────────────────────────────
# Helper math — mirrors S2TD.array_utils.math
# ─────────────────────────────────────────────────────────────────────────────
def normalized_ratio(a, b):
"""(a - b) / (a + b), safe division."""
denom = a + b
with np.errstate(divide="ignore", invalid="ignore"):
result = np.where(denom != 0, (a - b) / denom, 0.0)
return result.astype(np.float32)
def rescale_s2(bands):
"""Rescale Sentinel-2 L2A reflectance values (typically 010000 int) to 01 float."""
bands = bands.astype(np.float32)
if np.nanmax(bands) > 10: # likely DN scale
bands /= 10000.0
return bands
# ─────────────────────────────────────────────────────────────────────────────
# Array subset — exact replica of S2TD.pick_arr_subset
# ─────────────────────────────────────────────────────────────────────────────
def pick_arr_subset(arr, y, x, size):
"""Pick a size×size window centred on (y, x) from a 2D or 3D array."""
size_low = size // 2
size_up = size // 2
if size_low + size_up < size:
size_up += 1
ymin = max(0, y - size_low)
ymax = max(0, y + size_up)
xmin = max(0, x - size_low)
xmax = max(0, x + size_up)
if arr.ndim == 2:
return arr[ymin:ymax, xmin:xmax]
elif arr.ndim == 3:
return arr[:, ymin:ymax, xmin:xmax]
return arr
# ─────────────────────────────────────────────────────────────────────────────
# Feature stack — exact 7 features as in S2TD._build_feature_stack (Table 1)
# ─────────────────────────────────────────────────────────────────────────────
def build_feature_stack(data):
"""
Build the 7-feature stack from Sentinel-2 bands.
Input `data` shape: (H, W, 5) with channels [B04(R), B03(G), B02(B), B08(NIR), CLM].
Feature order (Table 1, Fisser et al. 2022):
0: variance of (B04, B03, B02)
1: normalized_ratio(B04, B02) red / blue
2: normalized_ratio(B03, B02) green / blue
3: B04 - mean(B04)
4: B03 - mean(B03)
5: B02 - mean(B02)
6: B08 - mean(B08)
"""
R = data[:, :, 0].astype(np.float32) # B04
G = data[:, :, 1].astype(np.float32) # B03
B = data[:, :, 2].astype(np.float32) # B02
NIR = data[:, :, 3].astype(np.float32) # B08
CLM = data[:, :, 4]
# Rescale if needed
bands = np.stack([R, G, B, NIR], axis=0)
bands = rescale_s2(bands)
R, G, B, NIR = bands[0], bands[1], bands[2], bands[3]
# Cloud mask → NaN
cloud = CLM > 0
R[cloud] = np.nan
G[cloud] = np.nan
B[cloud] = np.nan
NIR[cloud] = np.nan
H, W = R.shape
fs = np.zeros((7, H, W), dtype=np.float32)
# Check for any valid data to avoid "Mean of empty slice" warnings
if np.any(~cloud):
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=RuntimeWarning)
# Feature 0: variance of visible bands
fs[0] = np.nanvar(np.stack([R, G, B], axis=0), axis=0, ddof=0)
# Features 12: normalized ratios
fs[1] = normalized_ratio(R, B)
fs[2] = normalized_ratio(G, B)
# Features 36: mean-centered bands
fs[3] = R - np.nanmean(R)
fs[4] = G - np.nanmean(G)
fs[5] = B - np.nanmean(B)
fs[6] = NIR - np.nanmean(NIR)
else:
# All pixels are cloud-masked
fs.fill(np.nan)
# Ensure NaN consistency
nan_mask = np.isnan(fs[3])
fs[:, nan_mask] = np.nan
return {
"feature_stack": fs,
"bands": {"R": R, "G": G, "B": B, "NIR": NIR},
"cloud_mask": cloud,
}
# ─────────────────────────────────────────────────────────────────────────────
# RF Model loading
# ─────────────────────────────────────────────────────────────────────────────
# Path to the trained Random Forest model from S2TruckDetect
RF_MODEL_PATH = _default_rf_model_path()
_rf_model = None
def load_rf_model(path=None):
"""Load the trained RF model from pickle. Returns None if not found."""
global _rf_model
p = path or RF_MODEL_PATH
if _rf_model is not None:
return _rf_model
if os.path.isfile(p):
try:
_rf_model = pickle.load(open(p, "rb"))
logger.info(f"Loaded trained RF model from {p}")
return _rf_model
except Exception as e:
logger.error(f"Failed to load RF model from {p}: {e}")
else:
logger.warning(f"RF model not found at {p} — will use proxy classifier (lower accuracy)")
return None
# ─────────────────────────────────────────────────────────────────────────────
# Classification — real RF (preferred) or proxy fallback
# ─────────────────────────────────────────────────────────────────────────────
def rf_classify(feature_stack, road_mask, rf_model):
"""
Classify pixels using the trained Random Forest model.
Exact replica of S2TD._predict + _postprocess_prediction.
:param feature_stack: (7, H, W) feature array
:param road_mask: (H, W) binary road mask
:param rf_model: trained sklearn RandomForestClassifier
:return: (probabilities (4, H, W), prediction (H, W) int8)
"""
H, W = feature_stack.shape[1], feature_stack.shape[2]
# Reshape to (n_pixels, 7) for sklearn
vars_reshaped = []
for band_idx in range(feature_stack.shape[0]):
vars_reshaped.append(feature_stack[band_idx].flatten())
vars_reshaped = np.array(vars_reshaped).swapaxes(0, 1) # (n_pixels, 7)
# Build NaN mask — exclude NaN and Inf pixels
nan_mask_flat = np.zeros_like(vars_reshaped)
for var_idx in range(vars_reshaped.shape[1]):
nan_mask_flat[:, var_idx] = ~np.isnan(vars_reshaped[:, var_idx])
not_nan = (np.nanmin(nan_mask_flat, axis=1).astype(bool)
& np.min(np.isfinite(vars_reshaped), axis=1).astype(bool))
# Run RF predict_proba on valid pixels only
if not np.any(not_nan):
# Graceful return if no valid pixels found (e.g., all cloud masked)
probabilities_shaped = np.zeros((4, H, W), dtype=np.float32)
classification = np.zeros((H, W), dtype=np.int8)
return probabilities_shaped, classification
predictions_flat = rf_model.predict_proba(vars_reshaped[not_nan])
# Map probabilities back to spatial grid
n_classes = predictions_flat.shape[1]
probabilities_shaped = np.zeros((n_classes, H * W), dtype=np.float32)
for idx in range(n_classes):
probabilities_shaped[idx, not_nan] = predictions_flat[:, idx]
probabilities_shaped = probabilities_shaped.reshape((n_classes, H, W))
# Zero out NaN positions
nan_2d = np.isnan(feature_stack[0])
probabilities_shaped[:, nan_2d] = 0
# Post-process: suppress low-confidence background (exact S2TD logic)
probabilities_shaped[1][probabilities_shaped[1] < 0.75] = 0
classification = np.nanargmax(probabilities_shaped, axis=0).astype(np.int8) + 1
classification[np.max(probabilities_shaped, axis=0) == 0] = 0
classification[nan_2d] = 0
# Apply road mask
rm = road_mask.astype(bool)
classification[~rm] = 0
return probabilities_shaped, classification
def proxy_classify(feature_stack, road_mask):
"""
Heuristic proxy when RF model is unavailable. Lower accuracy.
Produces:
probabilities: (4, H, W) class probs for [background, blue, green, red]
prediction: (H, W) int8 labels {0=nan, 1=background, 2=blue, 3=green, 4=red}
"""
fs = feature_stack # (7, H, W)
H, W = fs.shape[1], fs.shape[2]
probs = np.zeros((4, H, W), dtype=np.float32)
centered_R = fs[3]
centered_G = fs[4]
centered_B = fs[5]
var_feat = fs[0]
nratio_rb = fs[1]
nratio_gb = fs[2]
rm = road_mask.astype(bool)
nan_mask = np.isnan(centered_R)
blue_score = np.clip(-nratio_rb * 2 + centered_B * 5 + var_feat * 10, 0, None)
blue_score[~rm | nan_mask] = 0
green_score = np.clip(nratio_gb * 2 + centered_G * 5 + var_feat * 10, 0, None)
green_score[~rm | nan_mask] = 0
red_score = np.clip(nratio_rb * 2 + centered_R * 5 + var_feat * 10, 0, None)
red_score[~rm | nan_mask] = 0
total = blue_score + green_score + red_score + 1e-8
probs[1] = blue_score / total
probs[2] = green_score / total
probs[3] = red_score / total
probs[0] = 1.0 - np.max(probs[1:], axis=0)
probs[0][probs[0] < 0.75] = 0
classification = np.nanargmax(probs, axis=0).astype(np.int8) + 1
classification[np.max(probs, axis=0) == 0] = 0
classification[nan_mask] = 0
classification[~rm] = 0
return probs, classification
def classify(feature_stack, road_mask, rf_model=None):
"""
Unified classifier entry point.
Uses trained RF if model is provided, otherwise falls back to proxy.
"""
if rf_model is not None:
logger.debug("Using trained RF model for classification")
return rf_classify(feature_stack, road_mask, rf_model)
else:
logger.debug("Using proxy classifier (no RF model loaded)")
return proxy_classify(feature_stack, road_mask)
# ─────────────────────────────────────────────────────────────────────────────
# Object extraction — faithful port of S2TD ObjectExtractor
# ─────────────────────────────────────────────────────────────────────────────
class ObjectExtractor:
"""
Extracts truck objects from the RF prediction raster using recursive
neighbourhood clustering, matching the S2TD reference implementation.
"""
def __init__(self, probabilities, lat_arr, lon_arr):
"""
:param probabilities: (4, H, W) class probabilities
:param lat_arr: 1-D array of latitude per row
:param lon_arr: 1-D array of longitude per column
"""
self.probabilities = probabilities
self.lat = lat_arr
self.lon = lon_arr
def extract(self, predictions_arr):
"""Main extraction loop over all blue (class 2) seed pixels."""
preds = predictions_arr.copy()
probs = self.probabilities.copy()
preds[preds == 1] = 0 # zero out background
blue_ys, blue_xs = np.where(preds == 2)
detections = []
sub_size = 9
for i in range(len(blue_ys)):
y_blue, x_blue = int(blue_ys[i]), int(blue_xs[i])
if preds[y_blue, x_blue] == 0:
continue
subset_9 = pick_arr_subset(preds, y_blue, x_blue, sub_size).copy()
subset_3 = pick_arr_subset(preds, y_blue, x_blue, 3).copy()
subset_9_probs = pick_arr_subset(probs, y_blue, x_blue, sub_size).copy()
half_idx_y = y_blue if subset_9.shape[0] < sub_size else subset_9.shape[0] // 2
half_idx_x = x_blue if subset_9.shape[1] < sub_size else subset_9.shape[1] // 2
try:
current_value = subset_9[half_idx_y, half_idx_x]
except IndexError:
half_idx_y, half_idx_x = sub_size // 2, sub_size // 2
current_value = subset_9[half_idx_y, half_idx_x]
new_value = 100
if not all(v in subset_9 for v in [2, 3, 4]):
continue
cluster, seen_idx, seen_vals, _ = self._cluster_array(
arr=subset_9, probs=subset_9_probs,
point=[half_idx_y, half_idx_x],
new_value=new_value, current_value=current_value,
yet_seen_indices=[], yet_seen_values=[],
skipped_one=False,
)
if np.count_nonzero(cluster == new_value) < 3:
continue
det = self._postprocess_cluster(
cluster, preds, probs, subset_3,
y_blue, x_blue,
half_idx_y, half_idx_x,
new_value,
)
if det is not None:
preds = det["updated_preds"]
detections.append(det["detection"])
return detections
def _cluster_array(self, arr, probs, point, new_value, current_value,
yet_seen_indices, yet_seen_values, skipped_one):
"""Recursive neighbourhood clustering — matches S2TD._cluster_array."""
if len(yet_seen_indices) == 0:
yet_seen_indices.append(point)
yet_seen_values.append(current_value)
arr_mod = arr.copy()
arr_mod[point[0], point[1]] = 0
window_3x3 = pick_arr_subset(arr_mod, point[0], point[1], 3).copy()
if window_3x3.shape[0] >= 2 and window_3x3.shape[1] >= 2:
cy = min(1, window_3x3.shape[0] - 1)
cx = min(1, window_3x3.shape[1] - 1)
if window_3x3[cy, cx] == 2:
window_3x3[window_3x3 == 4] = 1 # eliminate reds near blue
y, x = point[0], point[1]
window_3x3_probs = pick_arr_subset(probs, y, x, 3)
windows = [window_3x3]
windows_probs = [window_3x3_probs]
if current_value == 4 or skipped_one:
windows = windows[0:1]
ys, xs = np.array([], dtype=int), np.array([], dtype=int)
window_idx = 0
offset_y, offset_x = 0, 0
while len(ys) == 0 and window_idx < len(windows):
window = windows[window_idx]
window_p = windows_probs[window_idx]
offset_y = window.shape[0] // 2
offset_x = window.shape[1] // 2
go_next = (current_value + 1) in window or current_value == 2
target_value = current_value + 1 if go_next else current_value
match = window == target_value
if np.count_nonzero(match) == 0:
target_value = current_value
match = window == target_value
ys_found, xs_found = np.where(match)
# Probability-based tie-breaking
if len(ys_found) > 1 and window_p.ndim == 3 and window_p.shape[0] > (target_value - 1):
wp_target = window_p[target_value - 1] * match
max_prob_mask = (wp_target == np.max(wp_target))
ys_found, xs_found = np.where(max_prob_mask)
ys, xs = ys_found, xs_found
window_idx += 1
ymin_w = max(0, point[0] - offset_y)
xmin_w = max(0, point[1] - offset_x)
for y_local, x_local in zip(ys, xs):
ny, nx = ymin_w + int(y_local), xmin_w + int(x_local)
if [ny, nx] in yet_seen_indices:
continue
if ny < 0 or ny >= arr.shape[0] or nx < 0 or nx >= arr.shape[1]:
continue
try:
cv = arr[ny, nx]
except IndexError:
continue
# Red already seen but this is green or blue → skip
if 4 in yet_seen_values and cv <= 3:
continue
arr_mod[ny, nx] = new_value
yet_seen_indices.append([ny, nx])
yet_seen_values.append(cv)
# Guard: avoid picking many more reds than blues and greens
n_blue = sum(1 for v in yet_seen_values if v == 2)
n_green = sum(1 for v in yet_seen_values if v == 3)
n_red = sum(1 for v in yet_seen_values if v == 4)
if n_red > n_blue and n_red > n_green:
break
arr_mod, yet_seen_indices, yet_seen_values, skipped_one = self._cluster_array(
arr_mod, probs, [ny, nx], new_value, cv,
yet_seen_indices, yet_seen_values, skipped_one,
)
arr_mod[point[0], point[1]] = new_value
return arr_mod, yet_seen_indices, yet_seen_values, skipped_one
def _postprocess_cluster(self, cluster, preds_copy, probs, subset_3,
y_blue, x_blue, half_idx_y, half_idx_x,
new_value):
"""Validate cluster and produce a detection dict — mirrors S2TD._postprocess_cluster."""
# Add neighbouring blues from the 3×3 window
ys_ba, xs_ba = np.where(subset_3 == 2)
ys_ba = ys_ba + half_idx_y - 1
xs_ba = xs_ba + half_idx_x - 1
for yb, xb in zip(ys_ba, xs_ba):
yb_c = int(np.clip(yb, 0, cluster.shape[0] - 1))
xb_c = int(np.clip(xb, 0, cluster.shape[1] - 1))
cluster[yb_c, xb_c] = new_value
cluster[cluster != new_value] = 0
cys, cxs = np.where(cluster == new_value)
if len(cys) == 0:
return None
# Map subset coords back to full array
ymin_sub = int(np.clip(y_blue - half_idx_y, 0, np.inf))
xmin_sub = int(np.clip(x_blue - half_idx_x, 0, np.inf))
cys_full = cys + ymin_sub
cxs_full = cxs + xmin_sub
ymin = int(np.min(cys_full))
xmin = int(np.min(cxs_full))
ymax = int(np.max(cys_full)) + 1 # +1: box extends to upper bound of pixel
xmax = int(np.max(cxs_full)) + 1
H, W = preds_copy.shape
ymin, ymax = max(0, ymin), min(H, ymax)
xmin, xmax = max(0, xmin), min(W, xmax)
box_preds = preds_copy[ymin:ymax, xmin:xmax].copy()
box_probs = probs[1:, ymin:ymax, xmin:xmax].copy() # classes 2,3,4 → indices 0,1,2
# Spectral probability scores (exact S2TD logic)
max_probs = []
for cls_offset, cls_val in enumerate([2, 3, 4]):
mask = (box_preds == cls_val)
vals = box_probs[cls_offset] * mask
mp = float(np.nanmax(vals)) if np.any(mask) else 0.0
max_probs.append(mp)
mean_max_spectral_probability = float(np.nanmean(max_probs))
mean_spectral_probability = float(np.nanmean(np.nanmax(box_probs, axis=0)))
# Validation checks
all_given = all(v in box_preds for v in [2, 3, 4])
large_enough = box_preds.shape[0] > 2 or box_preds.shape[1] > 2
too_large = box_preds.shape[0] > 5 or box_preds.shape[1] > 5
if too_large or not all_given or not large_enough:
return None
# Score: TWO terms — matches reference
score = mean_max_spectral_probability + mean_spectral_probability
if score <= 1.2:
return None
# Direction (blue → red vector)
by, bx = np.where(box_preds == 2)
ry, rx = np.where(box_preds == 4)
blue_idx = np.array([by[0], bx[0]], dtype=np.int8)
red_idx = np.array([ry[0], rx[0]], dtype=np.int8)
vector = (blue_idx - red_idx) * np.array([1, -1], dtype=np.int8)
heading = float(np.degrees(np.arctan2(vector[1], vector[0])) % 360)
# Speed
diameter = max(box_preds.shape) * 10 - 10
speed_kmh = float(np.sqrt(diameter * 20) / SECONDS_OFFSET_B02_B04 * 3.6)
# Geo-coordinates (centre of detection box)
lat_centre = float((self.lat[ymin] + self.lat[min(ymax, len(self.lat) - 1)]) / 2)
lon_centre = float((self.lon[xmin] + self.lon[min(xmax, len(self.lon) - 1)]) / 2)
# Zero out detected pixels to prevent re-detection
preds_copy[ymin:ymax, xmin:xmax] *= np.zeros_like(box_preds)
# Also zero 3×3 around blue pixels
blue_in_box = np.where(box_preds == 2)
for yb, xb in zip(blue_in_box[0], blue_in_box[1]):
y0, y1 = max(0, ymin + yb - 1), min(H, ymin + yb + 2)
x0, x1 = max(0, xmin + xb - 1), min(W, xmin + xb + 2)
preds_copy[y0:y1, x0:x1] *= (preds_copy[y0:y1, x0:x1] != 2).astype(np.int8)
crop_id = f"truck_{int(time.time() * 1000)}_{ymin}_{xmin}.png"
return {
"updated_preds": preds_copy,
"detection": {
"lat": lat_centre,
"lon": lon_centre,
"confidence": float(min(score / 2.4, 1.0)),
"s_score": round(score, 3),
"speed_kmh": round(speed_kmh, 1),
"heading": round(heading, 1),
"heading_desc": self._direction_to_compass(heading),
"id": crop_id,
"image_url": f"/detections/{crop_id}",
"box_shape": list(box_preds.shape),
"max_probs": {"blue": max_probs[0], "green": max_probs[1], "red": max_probs[2]},
},
}
@staticmethod
def _direction_to_compass(deg):
bins = np.arange(0, 359, 45, dtype=np.float32)
labels = ["N", "NE", "E", "SE", "S", "SW", "W", "NW"]
return labels[int(np.argmin(np.abs(bins - deg)))]
# ─────────────────────────────────────────────────────────────────────────────
# ARGUS Engine
# ─────────────────────────────────────────────────────────────────────────────
class S2TruckEngine:
def __init__(self, *, cache_dir: str, detection_dir: str, rf_model_path: str | None = None):
self.cache_dir = cache_dir
self.detection_dir = detection_dir
os.makedirs(self.detection_dir, exist_ok=True)
_configure_osmnx(cache_dir)
self.rf_model = load_rf_model(rf_model_path)
def fetch_roads(self, bbox_coords, progress_cb=None):
"""Fetch major roads with automatic mirror rotation and fallbacks."""
import geopandas as gpd
import osmnx as ox
def log(msg, level="info", pct=None):
if level == "info":
logger.info(msg)
elif level == "warn":
logger.warning(msg)
if progress_cb:
progress_cb(msg, pct)
min_lat, min_lon, max_lat, max_lon = bbox_coords
center_lat = (min_lat + max_lat) / 2
center_lon = (min_lon + max_lon) / 2
lat_span = (max_lat - min_lat) * 111000
lon_span = (max_lon - min_lon) * 111000 * np.cos(np.radians(center_lat))
dist_m = int(max(lat_span, lon_span) * 0.6) + 1000
log(f"Starting road discovery (ROI: {center_lat:.4f}, {center_lon:.4f})", pct=5)
for i, mirror in enumerate(OVERPASS_MIRRORS):
log(f"Trying mirror {i+1}/{len(OVERPASS_MIRRORS)}: {mirror}", pct=10 + i * 5)
ox.settings.overpass_url = mirror
try:
graph = ox.graph_from_point(
(center_lat, center_lon), dist=dist_m,
network_type="drive", simplify=True,
retain_all=False, truncate_by_edge=True,
)
roads = ox.graph_to_gdfs(graph, nodes=False)
major_types = [
"motorway", "trunk", "primary", "secondary",
"motorway_link", "trunk_link", "primary_link",
]
roads = roads[roads["highway"].isin(major_types)].copy()
if not roads.empty:
logger.info(f"Fetched {len(roads)} major roads from {mirror}")
return roads
except Exception as e:
logger.warning(f"Mirror {mirror} failed: {e}")
time.sleep(1)
# Raw Overpass fallback
logger.warning("All mirrors failed. Trying raw Overpass query.")
try:
query = f"""
[out:json][timeout:60];
(way["highway"~"motorway|trunk|primary"]({min_lat},{min_lon},{max_lat},{max_lon}););
out body; >; out skel qt;
"""
resp = requests.post(OVERPASS_MIRRORS[0], data={"data": query}, timeout=60)
if resp.status_code == 200:
data = resp.json()
nodes = {n["id"]: (n["lon"], n["lat"]) for n in data["elements"] if n["type"] == "node"}
ways = []
for w in data["elements"]:
if w["type"] == "way" and "nodes" in w:
coords = [nodes[nid] for nid in w["nodes"] if nid in nodes]
if len(coords) > 1:
ways.append({"geometry": LineString(coords), "highway": w["tags"].get("highway")})
if ways:
roads = gpd.GeoDataFrame(ways, crs="EPSG:4326")
logger.info(f"Raw fallback: {len(roads)} roads")
return roads
except Exception as e:
logger.error(f"Raw fallback failed: {e}")
return gpd.GeoDataFrame()
def detect_trucks(self, data, bbox_coords, timestamp, road_mask):
"""
Detect trucks using corrected Fisser et al. methodology.
:param data: (H, W, 5) array [B04, B03, B02, B08, CLM]
:param bbox_coords: [min_lat, min_lon, max_lat, max_lon]
:param timestamp: str ISO timestamp
:param road_mask: (H, W) binary mask of road pixels
:return: list of detection dicts
"""
min_lat, min_lon, max_lat, max_lon = bbox_coords
H, W = data.shape[:2]
# 1. Build feature stack (corrected order)
feat = build_feature_stack(data)
feature_stack = feat["feature_stack"]
# 2. Classify (real RF if loaded, proxy fallback otherwise)
probs, prediction = classify(feature_stack, road_mask, self.rf_model)
# 3. Lat/lon arrays for geo-referencing
lat_arr = np.linspace(max_lat, min_lat, H) # top to bottom
lon_arr = np.linspace(min_lon, max_lon, W) # left to right
# 4. Object extraction (corrected)
extractor = ObjectExtractor(probs, lat_arr, lon_arr)
detections = extractor.extract(prediction)
# 5. Add timestamp and save crops
for det in detections:
det["timestamp"] = timestamp
try:
self._save_crop(data, det, H, W, min_lat, min_lon, max_lat, max_lon)
except Exception as e:
logger.warning(f"Could not save crop for {det['id']}: {e}")
return detections
def _save_crop(self, data, det, H, W, min_lat, min_lon, max_lat, max_lon):
"""Save a 20×20 RGB crop centred on the detection."""
cy = int((max_lat - det["lat"]) / (max_lat - min_lat + 1e-9) * H)
cx = int((det["lon"] - min_lon) / (max_lon - min_lon + 1e-9) * W)
cy, cx = int(np.clip(cy, 0, H - 1)), int(np.clip(cx, 0, W - 1))
y0, y1 = max(0, cy - 10), min(H, cy + 10)
x0, x1 = max(0, cx - 10), min(W, cx + 10)
rgb = data[y0:y1, x0:x1, :3].astype(np.float32)
rgb = rescale_s2(rgb)
rgb = (np.clip(rgb, 0, 0.3) / 0.3 * 255).astype(np.uint8)
path = os.path.join(self.detection_dir, det["id"])
imageio.imwrite(path, rgb)

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