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Author SHA1 Message Date
BigBodyCobain 00f9e3f1fd Pin v0.9.82 release digests for updater integrity verification.
Carry SHA-256 hashes for the source zip, MSI, and setup EXE into release_digests.json while retaining prior release entries.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-08 23:13:34 -06:00
BigBodyCobain ffdfe0426b Prepare v0.9.82 release: bump versions and changelog UI.
Align backend, desktop, helm, and frontend package versions for the Telegram OSINT and OpenClaw recon release.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-08 23:05:26 -06:00
BigBodyCobain 1583fd5715 Expose new telemetry and recon toolkit to OpenClaw agents.
Wire telegram_osint, malware, cyber, and SCM into search/slow-tier helpers; add osint_lookup, entity_expand, and osint_sweep commands; update README and skill docs.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-08 22:44:16 -06:00
BigBodyCobain af9b3d08cc feat: Telegram OSINT map layer, Osiris intel ports, and maritime settings
Add Telegram OSINT with hourly incremental t.me scraping, metro geocoding
separate from news centroids, threat-intercept popup UI with inline media,
and HTML markers above alert boxes so pins stay clickable. Expose GFW_API_TOKEN
in onboarding and Settings Maritime; harden GFW/CCTV/geo fetchers. Port Osiris-
derived recon, SCM, entity graph, malware/cyber feeds, sanctions, and submarine
cable layers with tests and documentation.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-08 21:04:08 -06:00
BigBodyCobain b64b9e0962 Add Sentinel-2 road freight trends with Analyze Here UI.
Port DrishX truck-motion detection as an opt-in slow layer: on-demand map-center analysis, preset corridors, layer panel toggle, and Docker road-corridor extras.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-07 23:39:13 -06:00
BigBodyCobain 76f4deb3a7 test: remove dead _make_client helper from conftest (from PR #376 review).
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-06 20:40:29 -06:00
BigBodyCobain 49d90eaf69 Track production-hardening checklist in docs (gitignore exception).
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-06 20:23:11 -06:00
BigBodyCobain 079ff7b737 Harden production checklist: dedupe live-data routes and align serializers.
Pin Mathieu's data-path checklist in docs and PR template, remove dead main.py fast/slow handlers, unify orjson via _live_data_json_bytes, and bound LiveUAMap Playwright defaults.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-06 20:16:18 -06:00
BigBodyCobain bd81a940ff Follow up on #375 review: dedupe live-data route and harden serializers.
Align full /api/live-data with slow-tier orjson options, remove dead main.py duplicate, cap slow batches to pool size, cancel queued work on timeout, and stop retrying HTTP 4xx/5xx.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-06 20:10:59 -06:00
BigBodyCobain 9a0a9a116a Address #375 production-readiness: dev bind, live-data lock, heavy fetch pool.
Default python main.py to loopback, deep-copy dashboard snapshots outside the store lock with ETag on full live-data, and route GDELT/LiveUAMap/CCTV/slow-tier work through an isolated executor so Playwright jobs cannot starve fast-tier workers.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-04 17:29:04 -06:00
BigBodyCobain 80a01275ff Add MKT opt-in on threat intercept, jittered market fetches, and Sentinel multi-scene dossier.
Operators enable Polymarket/Kalshi correlation from Global Threat Intercept with a consent dialog; polls use a jittered schedule separate from the slow tier. Right-click Sentinel imagery returns up to three signed scenes again.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-04 09:01:21 -06:00
BigBodyCobain 3ac8442e4b fix(uap): weekly live NUFORC refresh with 7-day cache for operators
Each install pulls ~60-day sightings from nuforc.org every Monday; disk cache
matches weekly cadence so users keep current pins between restarts.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-03 18:41:28 -06:00
BigBodyCobain 5f322b0a79 fix(uap): enforce 60-day window, refresh daily, live NUFORC on Windows
Filter stale rows out of nuforc_recent_sightings.json on load; add requests-based
live scrape when curl is disabled; daily scheduler rebuild instead of weekly-only.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-03 18:27:30 -06:00
BigBodyCobain 363b5a49c8 Close tg12 outbound audit (#348-#366): operator UA, opt-ins, docs
- User-Agent is per-install handle only (no Shadowbroker product token)
- LiveUAMap: Windows UI consent when enabling Global Incidents; env override
- Meshtastic callsign upstream header off by default (opt-in true)
- Expanded docs/OUTBOUND_DATA.md and README link for CCTV, basemap, Broadcastify

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-03 15:01:32 -06:00
BigBodyCobain a3e5c98cd0 test(cctv): Madrid KML HTTPS-first fallback; clarify KiwiSDR #364 docs
Adds unit coverage for MadridCityIngestor catalog fetch order.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-03 14:33:01 -06:00
BigBodyCobain 6a098e1c5f Pin DeepState mirror, prefer HTTPS for Madrid/KiwiSDR, document outbound data (#362–#364).
Operators can set DEEPSTATE_MIRROR_COMMIT for immutable frontline ingest; Madrid KML tries HTTPS then HTTP without changing camera image URLs or proxy Referers.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-03 14:31:31 -06:00
BigBodyCobain f08781bdc9 Route dossier, geocode, and Wikimedia through the backend (#351, #352, #360)
Proxy region dossier, Sentinel search, Wikipedia, and Wikidata via self-hosted
APIs; remove LocateBar client-side Nominatim fallback; migrate legacy shadow-
operator handles to operator- prefix.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-02 15:20:44 -06:00
BigBodyCobain c3dd95f6a9 Address remaining safe security hardening 2026-06-02 13:34:11 -06:00
BigBodyCobain 10a8c7b5be Apply non-disruptive security hardening 2026-06-02 12:50:41 -06:00
BigBodyCobain f03ebbba11 Clarify OpenClaw HMAC agent credentials 2026-05-30 13:52:01 -06:00
BigBodyCobain a16f22ed34 Cover AI and SAR proxy auth routes 2026-05-29 08:15:06 -06:00
BigBodyCobain 41e35e4da2 Fail fast on short admin keys 2026-05-28 15:02:40 -06:00
BigBodyCobain be3ab5823a Fix self-host API key proxy auth 2026-05-28 01:54:23 -06:00
BigBodyCobain ef52bd03d2 Harden private Infonet host checks 2026-05-28 01:26:48 -06:00
BigBodyCobain 017f383096 Fix BadHost path handling 2026-05-28 01:24:33 -06:00
Shadowbroker 41799f9891 feat(ci): switch GitLab mirror-to-github job to per-repo SSH deploy key (#331)
* feat(ci): switch mirror-to-github job from PAT to per-repo SSH deploy key

GitHub fine-grained PATs are capped at 366 days, classic PATs would
need 'public_repo' (broader scope than needed). Per-repo SSH deploy
keys are tighter:
- Can ONLY push to BigBodyCobain/Shadowbroker (no access to anything
  else, not even other repos owned by the same account).
- Never expire.
- Rotating == one-click delete on github.com/.../settings/keys.

Changes:
- New CI/CD variable GITHUB_MIRROR_SSH_KEY (File, Protected) holding
  the ed25519 private half. Public half lives on the repo's deploy
  keys with write access enabled.
- mirror-to-github before_script writes the key to ~/.ssh/id_ed25519,
  pins github.com host fingerprints (ed25519 + ecdsa + rsa from the
  2023-03-24 rotation) into ~/.ssh/known_hosts so we never trust a
  MITM, then pushes via git@github.com:... instead of HTTPS.
- Job rule now gates on GITHUB_MIRROR_SSH_KEY (the new var) instead
  of GITHUB_MIRROR_TOKEN (which never existed).

After this lands, every commit pushed directly to GitLab main will
mirror back to GitHub main automatically — closing the loop on
bi-directional sync.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(secret-scan): exempt SSH known_hosts entries from leaked-key detection

PR #331 introduced github.com host fingerprints pinned in
.gitlab-ci.yml's mirror-to-github before_script. The scanner flagged
them as embedded secrets and blocked CI:

  BLOCKED: Embedded secrets/tokens found in:
    .gitlab-ci.yml
      133: github.com ssh-ed25519 AAAA...
      135: github.com ssh-rsa AAAA...

These are PUBLIC host keys — the whole point of pinning known_hosts is
to publish the fingerprint widely so a MITM is detectable. They are
documented at https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/githubs-ssh-key-fingerprints
and committing them is the correct, secure practice.

Fix: add a KNOWN_HOSTS_LINE regex to the content-scan block that
recognizes `<host-or-ip> [salt] <algo> AAAA...` shape lines (the
exact format used in ~/.ssh/known_hosts) and filters them out before
flagging the file. Bare `ssh-rsa AAAA...` lines without a host prefix
are still caught — only the host-key shape is exempt.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 04:22:09 -06:00
Shadowbroker a1af9c3595 fix(ci): wrap GitLab dind TLS env in docker context so buildx accepts it (#330)
The build-backend and build-frontend jobs were failing immediately after
identity verification finally allocated runners:

    $ docker buildx create --use --name multiarch --driver docker-container
    ERROR: could not create a builder instance with TLS data loaded from
    environment. Please use `docker context create <context-name>` to create
    a context for current environment and then create a builder instance
    with context set to <context-name>

The dind service exports DOCKER_HOST=tcp://docker:2376 +
DOCKER_TLS_CERTDIR=/certs, but buildx --driver docker-container doesn't
read TLS from those env vars directly. Documented GitLab fix: create an
empty `docker context` (which inherits the current TLS env), then bind
buildx to that context name as a positional arg.

After this lands, the multi-arch buildx jobs should actually build and
push amd64 + arm64 images to
  registry.gitlab.com/bigbodycobain/shadowbroker/backend:latest
  registry.gitlab.com/bigbodycobain/shadowbroker/frontend:latest

Surfaced by the post-verification pipeline at
  https://gitlab.com/bigbodycobain/Shadowbroker/-/pipelines/2550501798

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 02:04:53 -06:00
Shadowbroker c8a8fc56f8 chore(ci): bump comment in .gitlab-ci.yml to verify post-verification runner allocation (#329)
Pipelines on the GitLab mirror have been instant-failing with 0 jobs and
no started_at since the project was created — classic "shared runners
not allocated to unverified free-tier accounts" pattern. The account is
now identity-verified; this trivial comment bump exists solely to fire a
fresh pipeline that confirms runners now pick up the build-backend and
build-frontend jobs.

If the resulting pipeline produces real jobs that build the multi-arch
images and push them to registry.gitlab.com/bigbodycobain/shadowbroker/{backend,frontend},
the GitLab install path is at full parity with the GitHub one.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 01:54:08 -06:00
Shadowbroker e6aba86ce1 chore(release): update v0.9.81 SHA256 digests after rebuild (#328)
Re-cut v0.9.81 binaries from current main (which now includes the
private gate + DM hashchain spool from #326 and the gate-directory
test from #327). All three artifacts were signed with the same
minisign updater key as the original v0.9.81 release, so existing
v0.9.81 installs on Tauri auto-update accept the new bundles.

Updated hashes (verified against released assets):
- ShadowBroker_v0.9.81.zip      f81f454bdc88e9a32c351df38212b8cfa624704d65764b971bb091eef62259c6
- ShadowBroker_0.9.81_x64-setup.exe   25e9a95d0d8ce959a7d08fe8e7406772ae24b596652793e81d1de5d02510a5a6
- ShadowBroker_0.9.81_x64_en-US.msi   34e655fc0c0f195ee4ac978f228a4b2b9d5565253b8771aca9ef4693409e9e70

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 01:16:12 -06:00
Shadowbroker d5609ac02f test(infonet): cover gate directory renderer (landing + command variants) (#327)
Adds the focused test Codex wrote alongside the gate-directory UI work
that already shipped in #326 (the `renderGateDirectory` helper used
both under the Infonet logo on the landing screen and as the output of
the `gates` command in the terminal).

The renderer itself is already on origin/main; this PR just ships the
test so CI catches regressions to the dual-variant render.

Verified locally:
- frontend npm run test:ci -- src/__tests__/mesh/infonetShellGateDirectory.test.tsx → 1/1 pass

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-24 21:55:54 -06:00
Shadowbroker 1d7fa5185a feat(infonet): private gate + DM hashchain spool with hardened propagation (#326)
Private gate messages and offline DMs now ride the Infonet hashchain
as ciphertext-only events, replicated across nodes via private
transports (Tor onion / RNS / loopback) and decrypted only by parties
holding the gate or recipient keys.

Hashchain core (mesh_hashchain.py)
----------------------------------

* New ``append_private_gate_message`` and ``append_private_dm_message``
  append paths with full signature verification, public-key binding,
  revocation check, and replay protection in a dedicated sequence
  domain (so a gate post does not consume the author's public broadcast
  sequence, and a DM cannot replay-block a public message at sequence=1).
* Fork validation and full-chain validation now accept the gate
  signature compatibility variants — older signatures that canonicalize
  with/without epoch or reply_to still verify, so a re-sync from an
  older peer doesn't reject still-valid history.
* DM hashchain spool: capped at 2 active sealed offline DMs per
  recipient mailbox, plus a per-(sender, recipient) cap so one prolific
  sender can't consume both slots. 1-hour TTL on the cap counter.
  Spool intentionally small — it's an offline bootstrap channel,
  not a persistent mailbox.
* Rebuild-state preserves the gate sequence domain across reloads so
  a chain reload doesn't accidentally let an old gate sequence
  replay-collide on next append.

Schema enforcement (mesh_schema.py)
-----------------------------------

* Private gate + DM payloads have closed allowlists of fields.
  Plaintext keys (``message``, ``plaintext``, ``_local_plaintext``,
  ``_local_reply_to``) are explicit rejection-bait — they raise before
  the event ever touches the chain.
* DM ciphertext + nonce must look like base64-ish sealed bytes;
  obvious base64-encoded plaintext shapes are rejected.
* ``transport_lock`` required: DM hashchain spool requires
  ``private_strong``; gate accepts ``private``/``private_strong``/
  ``rns``/``onion``.

Defense-in-depth at the network layer (main.py + mesh_public.py)
----------------------------------------------------------------

* ``_infonet_sync_response_events`` now silently redacts private events
  (gate_message + dm_message) unless the request looks like a loopback /
  onion / RNS / private transport caller. If an operator accidentally
  exposes :8000 to the public internet, an external puller gets
  public events only — never ciphertext.
* ``_sync_from_peer`` raises ``PeerSyncRateLimited`` for 429 (handled
  as 4-tuple return with retry_after_s) and ``PeerSyncHTTPError`` for
  other non-200 statuses (handled by ``_run_public_sync_cycle`` to
  honor server cooldown hints even outside the 429 path).

DM relay hydration (main.py)
-----------------------------

* New ``_hydrate_dm_relay_from_chain``: when accepted dm_message chain
  events arrive on a node, they get deposited into the local DM relay
  store with a deterministic sender_token_hash so re-sync of the same
  event is idempotent. Recipients see the ciphertext as a normal DM
  on their next poll and decrypt with their existing recipient key.

Other surfaces
--------------

* meshnode.bat / meshnode.sh now set ``MESH_INFONET_ALLOW_CLEARNET_SYNC=
  false`` and the participant runtime flags by default so a freshly
  spun-up node defaults to private-only sync.
* InfonetTerminal/InfonetShell.tsx adds a gate directory renderer for
  the new private-gate workflow.
* docker-compose.relay.yml binds the relay backend to 127.0.0.1:8000
  only; Tor's hidden service forwards onion traffic into 127.0.0.1.
  Public clearnet :8000 stays off the network edge.

Tests
-----

* 7 new tests in test_private_gate_hashchain.py + test_private_dm_
  hashchain.py covering: gate fork accepts ciphertext propagation,
  gate fork rejects plaintext, append rejects plaintext before
  normalize, append requires private_strong, append rejects
  non-sealed ciphertext shape, DM spool 2-per-recipient + 1-per-pair
  cap, DM hydration delivers to poll/claim.
* Updated test_mesh_node_bootstrap_runtime.py covers 429 backoff via
  PeerSyncRateLimited 4-tuple AND PeerSyncHTTPError exception.
* Updated test_s14b_public_sync_gate_filter.py + test_s9b_gate_store_
  hydration.py + test_gate_write_cutover.py cover the new private
  redaction on public sync responses.
* test_private_gate_hashchain.py + test_private_dm_hashchain.py:
  10 passed locally.
* Combined mesh-relevant suite (the 5 modified existing tests +
  2 new): 17 passed.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-24 21:25:18 -06:00
Shadowbroker fb97042c01 Update README.md
Elaborated on Tor and Reticulum usage.
2026-05-24 11:08:05 -06:00
Shadowbroker 2616a6c9e3 Update README.md 2026-05-24 11:06:40 -06:00
204 changed files with 15196 additions and 2680 deletions
+38 -2
View File
@@ -10,6 +10,23 @@ 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.
@@ -39,8 +56,8 @@ ADMIN_KEY=
# NUFORC_MAPBOX_TOKEN=
# Optional startup-risk controls.
# On Windows, external curl fallback and the Playwright LiveUAMap scraper are
# disabled by default so blocked upstream feeds cannot interrupt start.bat.
# 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).
# 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.
@@ -77,6 +94,19 @@ 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
@@ -128,8 +158,14 @@ 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
View File
@@ -0,0 +1,13 @@
## 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)
+5
View File
@@ -109,6 +109,9 @@ backend/data/*
# 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
@@ -198,6 +201,8 @@ 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
+42 -12
View File
@@ -13,13 +13,22 @@
# 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 $CI_JOB_TOKEN, which GitLab provides
# automatically. No credentials need to be configured.
# - The reverse mirror requires a GitHub personal access token stored
# as the GitLab CI/CD variable GITHUB_MIRROR_TOKEN (Protected + Masked).
# Scope: public_repo (or repo for private). If the variable isn't
# set the mirror job is skipped — image builds still run.
# - The reverse mirror authenticates to GitHub via a per-repo SSH
# deploy key. The private half is stored as the File-type GitLab
# CI/CD variable GITHUB_MIRROR_SSH_KEY (Protected). The matching
# public key is added to github.com/BigBodyCobain/Shadowbroker/
# settings/keys with write access. This is a tighter-scoped
# replacement for a personal access token: it can ONLY push to
# Shadowbroker, never expires, and rotating it is a one-click
# delete on GitHub's deploy-keys page. If the variable isn't set,
# the mirror job is skipped — image builds still run.
stages:
- build
@@ -48,7 +57,11 @@ variables:
- docker info
- docker login -u "$CI_REGISTRY_USER" -p "$CI_JOB_TOKEN" "$CI_REGISTRY"
- docker run --privileged --rm tonistiigi/binfmt --install all
- docker buildx create --use --name multiarch --driver docker-container
# 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
# ── Backend image ────────────────────────────────────────────────────────
build-backend:
@@ -93,18 +106,35 @@ build-frontend:
- .gitlab-ci.yml
# ── Reverse mirror to GitHub ─────────────────────────────────────────────
# 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.
# 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.
#
# Only runs if GITHUB_MIRROR_TOKEN is set as a CI/CD variable. See the
# header comment of this file for setup instructions.
# 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.
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 "$GITHUB_MIRROR_SSH_KEY" ~/.ssh/id_ed25519
- chmod 600 ~/.ssh/id_ed25519
# Pin github.com's current host keys so we never trust a man-in-the-
# middle. Sourced from https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/githubs-ssh-key-fingerprints
# (rotated 2023-03-24 after the previous RSA key leak).
- |
cat > ~/.ssh/known_hosts <<'EOF'
github.com ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIOMqqnkVzrm0SdG6UOoqKLsabgH5C9okWi0dh2l9GKJl
github.com ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBEmKSENjQEezOmxkZMy7opKgwFB9nkt5YRrYMjNuG5N87uRgg6CLrbo5wAdT/y6v0mKV0U2w0WZ2YB/++Tpockg=
github.com ssh-rsa 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
EOF
- chmod 644 ~/.ssh/known_hosts
script:
- git config --global user.email "ci-mirror@gitlab.com"
- git config --global user.name "GitLab CI Mirror"
@@ -115,7 +145,7 @@ mirror-to-github:
- cd repo
- >
git push
"https://x-access-token:${GITHUB_MIRROR_TOKEN}@github.com/BigBodyCobain/Shadowbroker.git"
"git@github.com:BigBodyCobain/Shadowbroker.git"
"${CI_COMMIT_SHA}:refs/heads/main"
rules:
- if: $CI_COMMIT_BRANCH == "main" && $GITHUB_MIRROR_TOKEN
- if: $CI_COMMIT_BRANCH == "main" && $GITHUB_MIRROR_SSH_KEY
+2 -1
View File
@@ -44,7 +44,8 @@ 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 |
| 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) |
| 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 |
+134 -21
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**. 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.
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.
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.
@@ -28,18 +28,20 @@ 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. No user data is collected or transmitted — everything runs locally against a self-hosted backend. No telemetry, no analytics, no accounts.
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.
### Shodan Connector
### Shodan & Recon (security-first)
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.
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.
---
## 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 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.
* **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.
* **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.
@@ -55,6 +57,12 @@ ShadowBroker includes an optional Shodan connector for operator-supplied API acc
* **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)
---
@@ -113,6 +121,20 @@ 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:
@@ -174,7 +196,7 @@ 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. |
| **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). |
| **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. |
@@ -199,7 +221,7 @@ The first decentralized intelligence communication and governance layer built di
**Communication layer (since v0.9.6):**
* **InfoNet Experimental Testnet** — A global, obfuscated message relay. 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 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.
* **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.
@@ -219,17 +241,34 @@ The first decentralized intelligence communication and governance layer built di
**Privacy primitive runway (NEW in v0.9.7):**
* **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).
* **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).
* **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.
### 🔍 Shodan Device Search (NEW in v0.9.6)
### 🔍 Recon Toolkit & Shodan (Osiris-derived, security-first)
* **Internet Device Search** — Query Shodan directly from ShadowBroker. Search by keyword, CVE, port, or service — results plotted as a live overlay on the map
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
* **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
@@ -317,11 +356,12 @@ The first decentralized intelligence communication and governance layer built di
### 📷 Surveillance
* **CCTV Mesh** — 11,000+ live traffic cameras from 13 sources across 6 countries:
* **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):
* 🇬🇧 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
@@ -342,6 +382,12 @@ The first decentralized intelligence communication and governance layer built di
* **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
@@ -367,7 +413,9 @@ v0.9.7 turns ShadowBroker from a dashboard a human watches into an intelligence
**Capabilities:**
* **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.
* **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`.
* **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.
@@ -380,7 +428,7 @@ 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 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.
**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.
### ⏱️ Time Machine — Snapshot Playback (NEW in v0.9.7)
@@ -529,9 +577,20 @@ 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 | ~10min | 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`) |
| 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 |
@@ -563,6 +622,8 @@ 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
@@ -584,9 +645,16 @@ 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. 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.
> 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.
> 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.
@@ -798,7 +866,7 @@ AIS-catcher decodes VHF radio signals on 161.975 MHz and 162.025 MHz and POSTs d
## 🎛️ Data Layers
All 37 layers are independently toggleable from the left panel:
All 41 layers are independently toggleable from the left panel:
| Layer | Default | Description |
|---|---|---|
@@ -840,6 +908,24 @@ All 37 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`.
---
@@ -863,6 +949,7 @@ 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)
@@ -872,7 +959,18 @@ 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 # 13-source CCTV camera ingestion pipeline
│ │ ├── 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
│ │ ├── geopolitics.py # GDELT + Ukraine frontline + air alerts
│ │ ├── region_dossier.py # Right-click country/city intelligence
│ │ ├── radio_intercept.py # Police scanner feeds + OpenMHZ
@@ -910,7 +1008,14 @@ 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
@@ -919,7 +1024,12 @@ 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 (35+ layers)
│ │ ├── 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
│ │ ├── WorldviewRightPanel.tsx # Search + filter sidebar
│ │ ├── AdvancedFilterModal.tsx # Airport/country/owner filtering
│ │ ├── MapLegend.tsx # Dynamic legend with all icons
@@ -956,6 +1066,9 @@ 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
+56 -13
View File
@@ -18,6 +18,15 @@ AIS_API_KEY= # https://aisstream.io/ — free tier WebSocket key
# 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
@@ -31,11 +40,9 @@ 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: every outbound third-party API
# call (Wikipedia, Wikidata, Nominatim, GDELT, OpenMHz, Broadcastify,
# weather.gov, NUFORC, etc.) includes this handle in the User-Agent so
# upstreams can rate-limit / contact the specific install instead of
# treating every Shadowbroker user as one entity.
# 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.
@@ -43,10 +50,8 @@ AIS_API_KEY= # https://aisstream.io/ — free tier WebSocket key
# set it here. Special characters are sanitized to dashes.
# OPERATOR_HANDLE=
# Default outbound User-Agent for all third-party HTTP fetchers. Operators
# who run a public relay and want a completely custom UA can set this; it
# bypasses the per-operator helper entirely. Most installs should leave it
# unset and use OPERATOR_HANDLE instead.
# 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
@@ -66,20 +71,48 @@ 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 sightings — huggingface.co dataset download.
# 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_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=
@@ -87,6 +120,12 @@ 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=
@@ -116,12 +155,16 @@ 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. Set MESHTASTIC_SEND_CALLSIGN_HEADER=false to
# suppress the callsign while still using it locally (e.g. for APRS).
# can rate-limit per-operator. Callsign is NOT sent upstream unless you opt in.
# MESHTASTIC_OPERATOR_CALLSIGN=
# MESHTASTIC_SEND_CALLSIGN_HEADER=true
# MESHTASTIC_SEND_CALLSIGN_HEADER=false
# 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 \
RUN cd /workspace/backend && uv sync --frozen --no-dev --extra road-corridor \
&& playwright install --with-deps chromium
# Copy backend source code
+31 -30
View File
@@ -113,8 +113,14 @@ 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 = str(request.url.path or "")
path = _request_scope_path(request)
if path.startswith("/api/wormhole/gate/"):
return "gate"
if path.startswith("/api/wormhole/dm/"):
@@ -443,7 +449,7 @@ 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 = str(request.url.path or "")
path = _request_scope_path(request)
message = f"{method}|{path}|{ts_str}|{nonce}|{body_digest}"
expected = hmac.new(
secret.encode("utf-8"),
@@ -515,33 +521,32 @@ _KNOWN_COMPROMISED_PEER_PUSH_SECRET_SHA256 = (
def _validate_admin_startup() -> None:
admin_key = _current_admin_key()
if not admin_key or len(admin_key) < 32:
import secrets
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
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
if len(admin_key) < 32:
reason = f"too short ({len(admin_key)} chars, minimum 32)"
try:
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,
)
# 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:
debug_mode = bool(getattr(get_settings(), "MESH_DEBUG_MODE", False))
except Exception:
debug_mode = False
if debug_mode:
logger.warning(
"ADMIN_KEY is %s and could not auto-generate: %s. "
"Admin/mesh endpoints may be unavailable.",
"ADMIN_KEY is %s. Debug mode is enabled, so startup will continue, "
"but production deployments must use a 32+ character key.",
reason,
exc,
)
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)
def _validate_insecure_admin_startup() -> None:
@@ -744,8 +749,7 @@ 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 ""
url_host = (request.url.hostname or "").lower() if request.url else ""
return client_host == "test" or url_host == "test"
return client_host == "test"
# ---------------------------------------------------------------------------
@@ -1397,10 +1401,7 @@ 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
if not request.url:
return ""
base_url = f"{request.url.scheme}://{request.url.netloc}".rstrip("/")
return normalize_peer_url(base_url)
return ""
def _verify_peer_push_hmac(request: Request, body_bytes: bytes) -> bool:
+2 -2
View File
@@ -7,7 +7,7 @@
},
{
"name": "BBC",
"url": "http://feeds.bbci.co.uk/news/world/rss.xml",
"url": "https://feeds.bbci.co.uk/news/world/rss.xml",
"weight": 3
},
{
@@ -47,7 +47,7 @@
},
{
"name": "Xinhua",
"url": "http://www.news.cn/english/rss/worldrss.xml",
"url": "https://www.news.cn/english/rss/worldrss.xml",
"weight": 2
},
{
+3
View File
@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:72b69418aa860a0d92ccae398a08722bc85e64a992b5515dd7bf9ae9f79f2fd1
size 107194128
+8 -3
View File
@@ -43,8 +43,13 @@
"ShadowBroker_0.9.8_x64_en-US.msi": "fe22f9d51e4360d74c18a7250c2fbb9ed4fa4c7a884b3ac0d04a21115466386b"
},
"v0.9.81": {
"ShadowBroker_v0.9.81.zip": "af8c87ccdece8fbb9aadc6be63cce10d3fcba74e6d87ef83289dda6d555fd270",
"ShadowBroker_0.9.81_x64-setup.exe": "4e866fa0423c0c2470ed32f4809167a7815dc23ee7762b69e95681c1f3a28250",
"ShadowBroker_0.9.81_x64_en-US.msi": "8977c9a1c54e1f0d030436be9c4e3d81d766cc0080699eb747649095f360c7ff"
"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"
}
}
+534 -529
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File diff suppressed because it is too large Load Diff
+18 -6
View File
@@ -7,15 +7,15 @@ py-modules = []
[project]
name = "backend"
version = "0.9.81"
version = "0.9.82"
requires-python = ">=3.10"
dependencies = [
"apscheduler==3.10.3",
"beautifulsoup4>=4.9.0",
"cachetools==5.5.2",
"cryptography>=41.0.0",
"cryptography>=46.0.7",
"defusedxml>=0.7.1",
"fastapi==0.115.12",
"fastapi==0.136.3",
"feedparser==6.0.10",
"httpx==0.28.1",
"playwright==1.59.0",
@@ -24,7 +24,7 @@ dependencies = [
"pydantic-settings==2.8.1",
"pystac-client==0.8.6",
"python-dotenv==1.2.2",
"requests==2.31.0",
"requests==2.33.0",
"PySocks==1.7.1",
"reverse-geocoder==1.5.1",
"sgp4==2.25",
@@ -33,17 +33,29 @@ 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>=8.3.4", "pytest-asyncio==0.25.0", "ruff>=0.9.0", "black>=24.0.0"]
dev = ["pytest>=9.0.3", "pytest-asyncio>=1.4.0", "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 v0.9.81 release.
# Keep CI focused on actionable correctness checks for the v0.9.82 release.
ignore = ["E401", "E402", "E701", "E731", "E741", "F401", "F402", "F541", "F811", "F841"]
[tool.black]
+76 -5
View File
@@ -1590,7 +1590,7 @@ async def agent_tool_manifest(request: Request):
return {
"ok": True,
"version": "0.9.81",
"version": "0.9.82",
"access_tier": access_tier,
"available_commands": available_commands,
"transport": {
@@ -1705,11 +1705,12 @@ 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, 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, Telegram OSINT, 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}",
@@ -1743,6 +1744,55 @@ 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",
@@ -2194,6 +2244,11 @@ 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.",
@@ -2226,7 +2281,7 @@ async def api_capabilities(request: Request):
access_tier = str(get_settings().OPENCLAW_ACCESS_TIER or "restricted").strip().lower()
return {
"ok": True,
"version": "0.9.81",
"version": "0.9.82",
"auth": {
"method": "HMAC-SHA256",
"headers": ["X-SB-Timestamp", "X-SB-Nonce", "X-SB-Signature"],
@@ -2354,13 +2409,29 @@ 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)"},
"description": "Search news and event layers by keyword without pulling the whole slow feed.",
"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.",
},
"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.",
+36 -2
View File
@@ -47,6 +47,8 @@ _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",
@@ -55,6 +57,14 @@ _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",
}
@@ -120,7 +130,7 @@ 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": "http://navigator-c2c.dot.ga.gov/"})
"Referer": "https://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",
@@ -128,7 +138,7 @@ 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": "http://navigator-c2c.dot.ga.gov/"})
"Referer": "https://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"})
@@ -156,10 +166,34 @@ 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": "*/*"})
+167 -7
View File
@@ -1,6 +1,7 @@
import asyncio
import logging
import math
import os
import threading
from typing import Any
from fastapi import APIRouter, Request, Response, Query, Depends
@@ -8,7 +9,7 @@ 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 get_latest_data, update_all_data
from services.data_fetcher import update_all_data
import orjson
import json as json_mod
@@ -30,6 +31,14 @@ 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()
@@ -202,6 +211,15 @@ 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
@@ -386,6 +404,95 @@ 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):
@@ -395,6 +502,8 @@ 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:
@@ -407,6 +516,8 @@ 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()
@@ -450,13 +561,33 @@ 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):
return get_latest_data()
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"},
)
@router.get("/api/bootstrap/critical")
@@ -551,7 +682,7 @@ async def bootstrap_critical(request: Request):
"bootstrap_payload": True,
}
return Response(
content=orjson.dumps(_sanitize_payload(payload), default=str, option=orjson.OPT_NON_STR_KEYS),
content=_live_data_json_bytes(payload),
media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"},
)
@@ -613,8 +744,11 @@ async def live_data_fast(
# 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=orjson.dumps(_sanitize_payload(payload)), media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"})
return Response(
content=_live_data_json_bytes(payload),
media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"},
)
@router.get("/api/live-data/slow")
@@ -638,7 +772,8 @@ 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",
"crowdthreat", "threat_level", "trending_markets", "road_corridor_trends",
"malware_threats", "cyber_threats", "scm_suppliers", "telegram_osint",
)
freshness = get_source_timestamps_snapshot()
payload = {
@@ -679,6 +814,31 @@ 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
@@ -688,7 +848,7 @@ async def live_data_slow(
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=orjson.dumps(_sanitize_payload(payload), default=str, option=orjson.OPT_NON_STR_KEYS),
content=_live_data_json_bytes(payload),
media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"},
)
+30
View File
@@ -0,0 +1,30 @@
"""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 -1
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", "0.9.81")
APP_VERSION = os.environ.get("_HEALTH_APP_VERSION", "0.9.82")
router = APIRouter()
+122
View File
@@ -0,0 +1,122 @@
"""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),
)
+7
View File
@@ -55,6 +55,12 @@ 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):
@@ -82,6 +88,7 @@ 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}
+33 -8
View File
@@ -65,6 +65,7 @@ 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]:
@@ -263,6 +264,19 @@ 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 ""
@@ -574,6 +588,12 @@ 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):
@@ -1531,7 +1551,7 @@ async def infonet_locator(request: Request, limit: int = Query(32, ge=4, le=128)
@router.post("/api/mesh/infonet/sync")
@limiter.limit("30/minute")
@limiter.limit(_INFONET_SYNC_RATE_LIMIT)
@mesh_write_exempt(MeshWriteExemption.PEER_GOSSIP)
async def infonet_sync_post(
request: Request,
@@ -1584,8 +1604,7 @@ async def infonet_sync_post(
elif matched_hash == GENESIS_HASH and len(locator) > 1:
forked = True
# 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"]
events = _infonet_sync_response_events(events, request=request)
response = {
"events": events,
@@ -1646,7 +1665,7 @@ async def mesh_rns_status(request: Request):
@router.get("/api/mesh/infonet/sync")
@limiter.limit("30/minute")
@limiter.limit(_INFONET_SYNC_RATE_LIMIT)
async def infonet_sync(
request: Request,
after_hash: str = "",
@@ -1684,8 +1703,7 @@ async def infonet_sync(
)
base = after_hash or GENESIS_HASH
events = infonet.get_events_after(base, limit=limit)
# 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"]
events = _infonet_sync_response_events(events, request=request)
return {
"events": events,
"after_hash": base,
@@ -1724,6 +1742,7 @@ 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}
@@ -2279,6 +2298,12 @@ 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 ""
@@ -2303,7 +2328,7 @@ 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") != "gate_message"]
events = [e for e in events if e.get("event_type") not in {"gate_message", "dm_message"}]
events = [_redact_public_event(e) for e in infonet.decorate_events(events)]
events = _redact_public_node_history(
events,
@@ -2328,7 +2353,7 @@ 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") != "gate_message"]
events = [e for e in events if e.get("event_type") not in {"gate_message", "dm_message"}]
events = [_redact_public_event(e) for e in infonet.decorate_events(events)]
return {
"events": events,
+151
View File
@@ -0,0 +1,151 @@
"""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
@@ -0,0 +1,105 @@
"""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
@@ -0,0 +1,16 @@
"""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()
+33
View File
@@ -85,6 +85,39 @@ 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
+1 -1
View File
@@ -29,7 +29,7 @@ def main() -> None:
from services.network_utils import outbound_user_agent
ua = outbound_user_agent("release-script-power-plants")
except Exception:
ua = "Shadowbroker/0.9 (release-script-power-plants; +https://github.com/BigBodyCobain/Shadowbroker/issues)"
ua = "operator-release-script (purpose: power-plants)"
req = urllib.request.Request(CSV_URL, headers={"User-Agent": ua})
with urllib.request.urlopen(req, timeout=60) as resp:
raw = resp.read().decode("utf-8")
+5
View File
@@ -167,6 +167,11 @@ 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
+28 -9
View File
@@ -92,18 +92,37 @@ 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
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${NC}"
done
done
FOUND=1
REAL_HITS=""
REAL_REPORT=""
while IFS= read -r f; do
[[ -z "$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
fi
fi
+9
View File
@@ -51,6 +51,15 @@ 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,
+419 -93
View File
@@ -17,6 +17,9 @@ _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(
@@ -40,6 +43,17 @@ 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://")):
@@ -93,6 +107,165 @@ 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))
@@ -169,7 +342,7 @@ class BaseCCTVIngestor(ABC):
cam.get("lat"),
cam.get("lon"),
cam.get("direction_facing", "Unknown"),
cam.get("media_url"),
_ensure_https_url(cam.get("media_url", "")),
cam.get("media_type", _detect_media_type(cam.get("media_url", ""))),
cam.get("refresh_rate_seconds", 60),
),
@@ -454,77 +627,14 @@ 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]]:
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
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",
)
class IllinoisDOTIngestor(BaseCCTVIngestor):
@@ -1009,17 +1119,72 @@ 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 = "http://datos.madrid.es/egob/catalogo/202088-0-trafico-camaras.kml"
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
def fetch_data(self) -> List[Dict[str, Any]]:
import defusedxml.ElementTree as ET
try:
response = fetch_with_curl(self.KML_URL, timeout=20)
response.raise_for_status()
response = self._fetch_kml()
except Exception as e:
logger.error(f"MadridCityIngestor: failed to fetch KML: {e}")
return []
@@ -1055,6 +1220,9 @@ 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
@@ -1076,6 +1244,153 @@ 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:
@@ -1094,29 +1409,40 @@ 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."""
ingestors = [
TFLJamCamIngestor(),
LTASingaporeIngestor(),
AustinTXIngestor(),
NYCDOTIngestor(),
CaltransIngestor(),
ColoradoDOTIngestor(),
WSDOTIngestor(),
GeorgiaDOTIngestor(),
IllinoisDOTIngestor(),
MichiganDOTIngestor(),
WindyWebcamsIngestor(),
OSMTrafficCameraIngestor(),
DGTNationalIngestor(),
MadridCityIngestor(),
]
for ing in ingestors:
for ingestor, _name in scheduled_cctv_ingestors():
try:
ing.ingest()
ingestor.ingest()
except Exception as e:
logger.warning(f"Ingestor {ing.__class__.__name__} failed during seed: {e}")
logger.warning(f"Ingestor {ingestor.__class__.__name__} failed during seed: {e}")
def get_all_cameras() -> List[Dict[str, Any]]:
+1
View File
@@ -32,6 +32,7 @@ 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"
+137 -59
View File
@@ -19,6 +19,7 @@ import concurrent.futures
import json
import math
import os
import random
import threading
import time
from datetime import datetime, timedelta
@@ -75,6 +76,7 @@ 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,
@@ -99,6 +101,10 @@ 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__)
@@ -144,13 +150,18 @@ _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"))
# Shared thread pool — reused across all fetch cycles instead of creating/destroying per tick
# 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_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):
@@ -319,10 +330,49 @@ 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
@@ -330,12 +380,13 @@ def _run_tasks(label: str, funcs: list, *, max_concurrency: int | None = None):
max_concurrency = _STARTUP_HEAVY_CONCURRENCY
else:
max_concurrency = len(funcs)
max_concurrency = max(1, min(max_concurrency, len(funcs)))
pool_workers = getattr(executor, "_max_workers", len(funcs))
max_concurrency = max(1, min(max_concurrency, len(funcs), pool_workers))
remaining_funcs = list(funcs)
while remaining_funcs:
batch, remaining_funcs = remaining_funcs[:max_concurrency], remaining_funcs[max_concurrency:]
futures = {_SHARED_EXECUTOR.submit(func): (func.__name__, time.perf_counter()) for func in batch}
futures = {executor.submit(func): (func.__name__, time.perf_counter()) for func in batch}
_drain_task_futures(label, futures)
@@ -352,6 +403,13 @@ 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
@@ -405,7 +463,6 @@ 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,
@@ -427,6 +484,9 @@ 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
@@ -470,6 +530,15 @@ 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(
@@ -482,6 +551,7 @@ def _run_delayed_startup_heavy_refresh() -> None:
"startup-heavy",
[
update_slow_data,
fetch_telegram_osint,
fetch_volcanoes,
fetch_viirs_change_nodes,
fetch_unusual_whales,
@@ -520,6 +590,7 @@ 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:
@@ -596,22 +667,9 @@ 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 (
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(),
]
from services.cctv_pipeline import get_all_cameras, scheduled_cctv_ingestors
_startup_ingestors = [ing for ing, _name in scheduled_cctv_ingestors()]
logger.info("Running CCTV ingest at startup (%d ingestors)...", len(_startup_ingestors))
ingest_futures = {
_SHARED_EXECUTOR.submit(ing.ingest): ing.__class__.__name__
@@ -747,6 +805,39 @@ 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"),
@@ -844,7 +935,7 @@ def start_scheduler():
# GDELT — every 30 minutes (downloads 32 ZIP files per call, avoid rate limits)
_scheduler.add_job(
lambda: _run_task_with_health(fetch_gdelt, "fetch_gdelt"),
lambda: _run_task_with_health_on_executor(_SLOW_EXECUTOR, fetch_gdelt, "fetch_gdelt"),
"interval",
minutes=30,
id="gdelt",
@@ -852,7 +943,9 @@ def start_scheduler():
misfire_grace_time=120,
)
_scheduler.add_job(
lambda: _run_task_with_health(update_liveuamap, "update_liveuamap"),
lambda: _run_task_with_health_on_executor(
_SLOW_EXECUTOR, update_liveuamap, "update_liveuamap"
),
"interval",
minutes=30,
id="liveuamap",
@@ -862,39 +955,9 @@ 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 (
TFLJamCamIngestor,
LTASingaporeIngestor,
AustinTXIngestor,
NYCDOTIngestor,
CaltransIngestor,
ColoradoDOTIngestor,
WSDOTIngestor,
GeorgiaDOTIngestor,
IllinoisDOTIngestor,
MichiganDOTIngestor,
WindyWebcamsIngestor,
DGTNationalIngestor,
MadridCityIngestor,
OSMTrafficCameraIngestor,
)
from services.cctv_pipeline import 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"),
]
_cctv_ingestors = scheduled_cctv_ingestors()
def _run_cctv_ingest_cycle():
from services.fetchers._store import is_any_active
@@ -913,7 +976,9 @@ def start_scheduler():
logger.warning(f"CCTV post-ingest refresh failed: {e}")
_scheduler.add_job(
_run_cctv_ingest_cycle,
lambda: _run_task_with_health_on_executor(
_SLOW_EXECUTOR, _run_cctv_ingest_cycle, "cctv_ingest_cycle"
),
"interval",
minutes=10,
id="cctv_ingest",
@@ -983,6 +1048,16 @@ 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"),
@@ -993,9 +1068,9 @@ def start_scheduler():
misfire_grace_time=600,
)
# UAP sightings (NUFORC) — weekly on Mondays at 12:00 UTC. The layer is a
# rolling last-60-days digest; refreshing once a week is enough cadence
# for human-readable map exploration and keeps load on nuforc.org light.
# 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.
_scheduler.add_job(
lambda: _run_task_with_health(
lambda: fetch_uap_sightings(force_refresh=True),
@@ -1130,7 +1205,10 @@ def start_scheduler():
def stop_scheduler():
if _scheduler:
_scheduler.shutdown(wait=False)
_SLOW_EXECUTOR.shutdown(wait=False, cancel_futures=True)
def get_latest_data():
return get_latest_data_subset(*latest_data.keys())
from services.fetchers._store import get_latest_data_deepcopy_snapshot
return get_latest_data_deepcopy_snapshot()
+1
View File
@@ -46,6 +46,7 @@ _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)",
}
+34 -10
View File
@@ -69,6 +69,11 @@ 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
@@ -119,6 +124,11 @@ 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
@@ -230,27 +240,35 @@ _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
_active_layers_version += 1
with _data_lock:
_active_layers_version += 1
def get_active_layers_version() -> int:
"""Return the current active-layer version (for ETag generation)."""
return _active_layers_version
with _data_lock:
return _active_layers_version
def get_latest_data_subset(*keys: str) -> DashboardData:
"""Return a deep snapshot of only the requested top-level keys.
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.
Grabs references under the lock, then deep-copies outside it so fetcher
writers are not blocked for the duration of a large clone (#375).
"""
with _data_lock:
snap: DashboardData = {}
for key in keys:
value = latest_data.get(key)
snap[key] = copy.deepcopy(value)
return snap
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}
def get_latest_data_subset_refs(*keys: str) -> DashboardData:
@@ -320,6 +338,12 @@ 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,
}
@@ -38,8 +38,6 @@ _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
+62
View File
@@ -0,0 +1,62 @@
"""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
+197 -70
View File
@@ -692,7 +692,8 @@ _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
_NUFORC_RECENT_DAYS = int(os.environ.get("NUFORC_RECENT_DAYS", "60"))
# 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_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")))
@@ -700,6 +701,12 @@ _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"
@@ -766,6 +773,35 @@ 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:
@@ -802,19 +838,41 @@ 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() > 86400:
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,
)
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",
len(sightings),
"UAP sightings: loaded %d cached reports from %s (within %d-day window)",
len(filtered),
built,
_NUFORC_RECENT_DAYS,
)
return sightings
return filtered
except Exception as e:
logger.warning("UAP sightings: cache load error: %s", e)
return None
@@ -828,6 +886,7 @@ 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,
}
@@ -1035,27 +1094,128 @@ def _nuforc_months_for_window(days: int) -> list[str]:
return months
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.
"""
def _parse_nuforc_live_datatables_rows(raw_rows: list) -> list[dict]:
"""Parse wpDataTables ``data`` array into normalized row dicts."""
from services.fetchers.nuforc_enrichment import _parse_date
curl_bin = shutil.which("curl") or "curl"
out: list[dict] = []
for raw in raw_rows:
if not isinstance(raw, list) or len(raw) < 8:
continue
link_html = str(raw[0] or "")
occurred_raw = str(raw[1] or "")
city = str(raw[2] or "").strip()
state = str(raw[3] or "").strip()
country = str(raw[4] or "").strip()
shape_raw = (str(raw[5] or "").strip() or "Unknown")
summary = str(raw[6] or "").strip()
reported_raw = str(raw[7] or "")
explanation = str(raw[9] or "").strip() if len(raw) > 9 and raw[9] else ""
occurred_ymd = _parse_date(occurred_raw)
if not occurred_ymd:
continue
if not city and not state and not country:
continue
id_match = _NUFORC_LIVE_SIGHTING_ID_RE.search(link_html)
if id_match:
sighting_id = f"NUFORC-{id_match.group(1)}"
else:
digest = hashlib.sha1(
f"{occurred_ymd}|{city}|{state}|{summary}".encode("utf-8", "ignore")
).hexdigest()[:12]
sighting_id = f"NUFORC-{digest}"
if summary and len(summary) > 280:
summary = summary[:277] + "..."
if not summary:
summary = "Sighting reported"
out.append({
"id": sighting_id,
"occurred": occurred_ymd,
"posted": _parse_date(reported_raw) or occurred_ymd,
"city": city,
"state": state,
"country": country,
"shape_raw": shape_raw,
"summary": summary,
"explanation": explanation,
})
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)
if not external_curl_fallback_enabled():
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: external curl disabled on Windows for %s; "
"set SHADOWBROKER_ENABLE_WINDOWS_CURL_FALLBACK=1 to opt in.",
"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:
@@ -1125,65 +1285,27 @@ def _nuforc_fetch_month_live(yyyymm: str, cookie_jar: Path) -> list[dict]:
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:
continue
link_html = str(raw[0] or "")
occurred_raw = str(raw[1] or "")
city = str(raw[2] or "").strip()
state = str(raw[3] or "").strip()
country = str(raw[4] or "").strip()
shape_raw = (str(raw[5] or "").strip() or "Unknown")
summary = str(raw[6] or "").strip()
reported_raw = str(raw[7] or "")
explanation = str(raw[9] or "").strip() if len(raw) > 9 and raw[9] else ""
return _parse_nuforc_live_datatables_rows(payload.get("data") or [])
occurred_ymd = _parse_date(occurred_raw)
if not occurred_ymd:
continue
if not city and not state and not country:
continue
id_match = _NUFORC_LIVE_SIGHTING_ID_RE.search(link_html)
if id_match:
sighting_id = f"NUFORC-{id_match.group(1)}"
else:
digest = hashlib.sha1(
f"{occurred_ymd}|{city}|{state}|{summary}".encode("utf-8", "ignore")
).hexdigest()[:12]
sighting_id = f"NUFORC-{digest}"
if summary and len(summary) > 280:
summary = summary[:277] + "..."
if not summary:
summary = "Sighting reported"
out.append({
"id": sighting_id,
"occurred": occurred_ymd,
"posted": _parse_date(reported_raw) or occurred_ymd,
"city": city,
"state": state,
"country": country,
"shape_raw": shape_raw,
"summary": summary,
"explanation": explanation,
})
return out
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 1-year UAP sightings layer from live NUFORC data.
"""Build the rolling 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_dt = datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)
cutoff_str = cutoff_dt.strftime("%Y-%m-%d")
cutoff_str = _uap_cutoff_date_str()
months = _nuforc_months_for_window(_NUFORC_RECENT_DAYS)
try:
@@ -1530,11 +1652,12 @@ 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 last-year UAP sightings from NUFORC.
"""Fetch rolling-window UAP sightings from live NUFORC.
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.
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.
"""
from services.fetchers._store import is_any_active
@@ -1567,12 +1690,16 @@ def fetch_uap_sightings(*, force_refresh: bool = False):
live_error,
)
if sightings:
sightings = _filter_uap_sightings_recent(sightings)
with _data_lock:
latest_data["uap_sightings"] = sightings or []
if sightings:
_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)
+47 -17
View File
@@ -20,17 +20,9 @@ def _env_flag(name: str) -> str:
def liveuamap_scraper_enabled() -> bool:
"""Return whether the Playwright-based LiveUAMap scraper should run.
from services.liveuamap_settings import liveuamap_scraper_enabled as _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"
return _enabled()
# ---------------------------------------------------------------------------
@@ -210,10 +202,17 @@ def update_liveuamap():
if not is_any_active("global_incidents"):
return
if not liveuamap_scraper_enabled():
logger.info(
"Liveuamap scraper disabled for this runtime; set "
"SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=1 to opt in."
)
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."
)
return
logger.info("Running scheduled Liveuamap scraper...")
try:
@@ -279,6 +278,16 @@ _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)."""
@@ -301,10 +310,16 @@ 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=7)).isoformat()
page_size = max(1, int(os.environ.get("GFW_EVENTS_PAGE_SIZE", "500") or "500"))
_start = (_dt.date.today() - _dt.timedelta(days=lookback_days)).isoformat()
page_size = _gfw_int_env("GFW_EVENTS_PAGE_SIZE", 500, minimum=1, maximum=1000)
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}"}
@@ -325,7 +340,7 @@ def fetch_fishing_activity():
}
)
url = f"https://gateway.api.globalfishingwatch.org/v3/events?{query}"
response = fetch_with_curl(url, timeout=30, headers=headers)
response = fetch_with_curl(url, timeout=timeout_s, headers=headers)
if response.status_code != 200:
logger.warning(
"Fishing activity fetch failed at offset=%s: HTTP %s",
@@ -335,10 +350,16 @@ 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", {})
@@ -373,6 +394,15 @@ 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")
+4 -4
View File
@@ -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)."""
from services.fetchers._store import is_any_active
"""Load geocoded data centers (5K+ street-level precise locations).
if not is_any_active("datacenters"):
return
Always loads from disk; /api/live-data/slow gates the payload on the
datacenters layer toggle so enabling the layer can render immediately.
"""
dcs = []
try:
if not _DC_GEOCODED_PATH.exists():
+107
View File
@@ -0,0 +1,107 @@
"""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
+2 -2
View File
@@ -188,8 +188,8 @@ def fetch_meshtastic_nodes():
callsign = ""
send_callsign_header = str(
_os.environ.get("MESHTASTIC_SEND_CALLSIGN_HEADER", "true")
).strip().lower() not in {"0", "false", "no", "off", ""}
_os.environ.get("MESHTASTIC_SEND_CALLSIGN_HEADER", "false")
).strip().lower() in {"1", "true", "yes", "on"}
# Round 7a: outbound_user_agent already includes the per-install handle.
# The optional Meshtastic callsign is appended as additional context so
+14 -9
View File
@@ -158,21 +158,26 @@ _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.
"""
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
match = resolve_coords_match(text)
return match[0] if match else None
@with_retry(max_retries=1, base_delay=2)
@@ -9,6 +9,7 @@ import json
import logging
import math
import os
import random
import threading
import time
from urllib.parse import urlencode
@@ -21,23 +22,34 @@ _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 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",
}
"""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()
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))
@@ -47,6 +59,24 @@ 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)
@@ -750,7 +780,9 @@ 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(
+9 -2
View File
@@ -11,15 +11,20 @@ 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 on parse errors, key errors, etc.
# Only retry on transient network/OS errors — not parse/key errors or HTTP 4xx/5xx.
# requests.HTTPError (from raise_for_status) is intentionally excluded.
TRANSIENT_ERRORS = (
TimeoutError,
ConnectionError,
OSError,
requests.RequestException,
RequestsConnectionError,
RequestsTimeout,
ChunkedEncodingError,
)
@@ -43,6 +48,8 @@ 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:
@@ -0,0 +1,84 @@
"""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()
@@ -30,8 +30,6 @@ _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]] = {}
+381
View File
@@ -0,0 +1,381 @@
"""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
+64 -52
View File
@@ -1,3 +1,4 @@
import os
import requests
import logging
import zipfile
@@ -20,6 +21,50 @@ 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():
@@ -27,67 +72,34 @@ 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...")
logger.info("Fetching DeepStateMap from GitHub mirror (%s @ %s)...", repo, ref)
# 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"
)
tree_url = f"https://api.github.com/repos/{repo}/git/trees/{ref}?recursive=1"
res_tree = requests.get(tree_url, timeout=10)
if res_tree.status_code == 200:
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}")
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)
res_geo = requests.get(raw_url, timeout=20)
if res_geo.status_code == 200:
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}"
)
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)
else:
logger.error(f"Failed to fetch Github Tree for Deepstatemap: {res_tree.status_code}")
logger.error(
"Failed to fetch Github tree for Deepstatemap (%s @ %s): %s",
repo,
ref,
res_tree.status_code,
)
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"Error fetching DeepStateMap: {e}")
return None
@@ -1,14 +1,20 @@
"""Function Keys — anonymous citizenship proof.
"""Function Keys — anonymous credential scaffolding.
Source of truth: ``infonet-economy/IMPLEMENTATION_PLAN.md`` §4.4,
``infonet-economy/BRAINDUMP.md`` §11 item 9.
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).
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).
The full design has six pieces; five are implemented in pure Python
here. The remaining piece issuance via blind signatures or
@@ -27,7 +33,8 @@ 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. Prevents screenshot attacks, key sharing, replay.
secret. This is HMAC placeholder plumbing for screenshot/replay
resistance, not the final anonymous credential proof.
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
@@ -0,0 +1,94 @@
"""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(),
}
+34 -16
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://rx.linkfanel.net/kiwisdr_com.js"
_SOURCE_URL_HTTP = "http://rx.linkfanel.net/kiwisdr_com.js"
_SOURCE_URL_HTTPS = "https://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: 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.
# 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.
_BUNDLED_FALLBACK = Path(__file__).resolve().parent.parent / "data" / "kiwisdr_directory.json"
# Minimum number of receivers we expect from a healthy upstream response.
@@ -184,6 +184,29 @@ 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)."""
@@ -202,9 +225,8 @@ 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 — upstream is HTTP-only, so we defend with
content validation + bundled static directory rather than trying to
upgrade the transport):
Layered fallback (issue #206 / #364 — HTTPS first, HTTP fallback, plus
content validation + bundled static directory):
1. In-memory cache (handled by @cached on this function)
2. On-disk cache if <24h old
@@ -216,8 +238,6 @@ 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:
@@ -230,14 +250,12 @@ def fetch_kiwisdr_nodes() -> list[dict]:
fresh_nodes: list[dict] = []
fetch_succeeded = False
try:
res = fetch_with_curl(_SOURCE_URL, timeout=20)
if res and res.status_code == 200:
fresh_nodes = _parse_mirror_payload(res.text)
body = _fetch_mirror_payload_text()
if body:
fresh_nodes = _parse_mirror_payload(body)
fetch_succeeded = True
else:
logger.warning(
f"KiwiSDR fetch returned HTTP {res.status_code if res else 'no response'}"
)
logger.warning("KiwiSDR fetch returned no usable mirror payload")
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.warning(f"KiwiSDR fetch exception: {e}")
+11 -1
View File
@@ -27,11 +27,21 @@ 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="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
user_agent=playwright_ua,
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
@@ -0,0 +1,73 @@
"""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,
}
+522 -83
View File
@@ -33,8 +33,9 @@ Each event contains:
Persistence: JSON file at backend/data/infonet.json
Encrypted gate chat events are intentionally kept off the public chain and
persisted separately via GateMessageStore.
Encrypted gate chat events are private-chain ciphertext records. They are
excluded from public read surfaces and replicated only over private Infonet
transports.
"""
import json
@@ -64,6 +65,8 @@ 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,
)
@@ -127,6 +130,12 @@ 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()
@@ -340,6 +349,32 @@ 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 = {
@@ -1568,11 +1603,18 @@ class Infonet:
def _rebuild_state(self) -> None:
self.event_index = {}
self.node_sequences = {}
# 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 = {}
# 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)
self.public_key_bindings = {}
self.revocations = {}
self._replay_filter = ReplayFilter()
@@ -1584,9 +1626,12 @@ class Infonet:
node_id = evt.get("node_id", "")
sequence = _safe_int(evt.get("sequence", 0) or 0, 0)
if node_id and sequence:
last = self.node_sequences.get(node_id, 0)
sequence_table, sequence_key = self._sequence_table_for_event(
evt.get("event_type", ""), node_id
)
last = sequence_table.get(sequence_key, 0)
if sequence > last:
self.node_sequences[node_id] = sequence
sequence_table[sequence_key] = sequence
public_key = str(evt.get("public_key", "") or "")
if public_key and node_id:
existing = self.public_key_bindings.get(public_key)
@@ -1898,6 +1943,295 @@ 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,
@@ -2078,6 +2412,18 @@ 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
@@ -2096,25 +2442,14 @@ 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
last = self.node_sequences.get(node_id, 0)
sequence_table, sequence_key = self._sequence_table_for_event(event_type, node_id)
last = sequence_table.get(sequence_key, 0)
if sequence <= last:
rejected.append({"index": idx, "reason": "Replay detected"})
continue
@@ -2149,7 +2484,18 @@ class Infonet:
if not ok:
rejected.append({"index": idx, "reason": reason})
continue
ok, reason = validate_public_ledger_payload(event_type, payload)
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)
if not ok:
rejected.append({"index": idx, "reason": reason})
continue
@@ -2225,7 +2571,7 @@ class Infonet:
pass
rejected.append({"index": idx, "reason": "public key is revoked"})
continue
last_seq = self.node_sequences.get(node_id, 0)
last_seq = sequence_table.get(sequence_key, 0)
if sequence <= last_seq:
try:
from services.mesh.mesh_metrics import increment as metrics_inc
@@ -2261,18 +2607,30 @@ class Infonet:
rejected.append({"index": idx, "reason": bind_reason})
continue
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,
):
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:
try:
from services.mesh.mesh_metrics import increment as metrics_inc
@@ -2302,7 +2660,7 @@ class Infonet:
self.events.append(evt)
self.event_index[event_id] = len(self.events) - 1
self.head_hash = event_id
self.node_sequences[node_id] = sequence
sequence_table[sequence_key] = sequence
self._update_counters_for_event(evt)
accepted += 1
expected_prev = event_id
@@ -2365,6 +2723,7 @@ 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}"
@@ -2375,21 +2734,41 @@ class Infonet:
return False, f"public key binding conflict at index {i}"
seen_public_keys[public_key] = node_id
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,
):
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:
return False, f"Invalid signature at index {i}"
prev = evt_dict["event_id"]
@@ -2454,27 +2833,48 @@ 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}"
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,
):
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:
return False, f"Invalid signature at index {i}"
prev = evt_dict["event_id"]
@@ -2538,7 +2938,14 @@ class Infonet:
node_id = evt.get("node_id", "")
sequence = _safe_int(evt.get("sequence", 0) or 0, 0)
if node_id and sequence:
last_seq[node_id] = max(last_seq.get(node_id, 0), 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)
public_key = str(evt.get("public_key", "") or "")
if public_key and node_id:
seen_public_keys.setdefault(public_key, node_id)
@@ -2558,8 +2965,21 @@ 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"
payload = normalize_payload(event_type, dict(payload or {}))
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 {}))
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
@@ -2573,7 +2993,14 @@ class Infonet:
revoked, _info = self._revocation_status(public_key)
if revoked and event_type != "key_revoke":
return False, "public key revoked"
last = last_seq.get(node_id, 0)
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)
if sequence <= last:
return False, "sequence replay"
from services.mesh.mesh_crypto import (
@@ -2591,23 +3018,35 @@ class Infonet:
if existing and existing != node_id:
return False, "public key binding conflict"
seen_public_keys[public_key] = node_id
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,
):
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:
return False, "invalid signature"
computed = ChainEvent.from_dict(evt).event_id
if computed != event_id:
return False, "event_id mismatch"
last_seq[node_id] = sequence
last_seq[sequence_key] = sequence
# Apply fork
self.events = prefix + ordered
@@ -276,5 +276,6 @@ def should_run_sync(
) -> bool:
current_time = int(now if now is not None else time.time())
if state.last_outcome == "running":
return False
started_at = int(state.last_sync_started_at or 0)
return started_at <= 0 or current_time - started_at >= 300
return int(state.next_sync_due_at or 0) <= current_time
+144
View File
@@ -2,6 +2,9 @@
from __future__ import annotations
import base64
import binascii
import math
from dataclasses import dataclass
from typing import Any, Callable
@@ -33,6 +36,58 @@ 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")
@@ -331,6 +386,7 @@ 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
@@ -425,6 +481,8 @@ 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(
@@ -441,6 +499,92 @@ 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"
+7 -2
View File
@@ -38,6 +38,11 @@ _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"
@@ -166,7 +171,7 @@ def _canonical_signed_write_retry_payload(
signed_context = build_signed_context(
event_type=prepared.event_type,
kind=prepared.kind.value,
endpoint=str(request.url.path or ""),
endpoint=_request_scope_path(request),
lane_floor=_content_private_required_transport_tier(prepared.kind),
sequence_domain=_signed_context_sequence_domain(prepared),
node_id=prepared.node_id,
@@ -540,7 +545,7 @@ def _apply_signed_context_policy(prepared: "PreparedSignedWrite", request: Reque
ok, reason = validate_signed_context(
event_type=prepared.event_type,
kind=prepared.kind.value,
endpoint=str(request.url.path or ""),
endpoint=_request_scope_path(request),
lane_floor=_content_private_required_transport_tier(prepared.kind),
sequence_domain=_signed_context_sequence_domain(prepared),
node_id=prepared.node_id,
@@ -234,12 +234,12 @@ 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",
)
+24 -46
View File
@@ -34,9 +34,9 @@ _session.mount("http://", HTTPAdapter(max_retries=_retry, pool_maxsize=10))
# 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 and include it in
# the User-Agent. Now an upstream can rate-limit or block the offending
# operator without affecting anyone else.
# 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:
#
@@ -51,7 +51,6 @@ _session.mount("http://", HTTPAdapter(max_retries=_retry, pool_maxsize=10))
# - Is NEVER mixed into mesh / Wormhole / Infonet identity. This layer is
# strictly for public third-party API attribution.
_SHADOWBROKER_VERSION = "0.9"
_OPERATOR_HANDLE_FILE = (
Path(__file__).parent.parent / "data" / "operator_handle.json"
)
@@ -146,7 +145,12 @@ def get_operator_handle() -> str:
# 3. On-disk handle from a previous run.
persisted = _load_persisted_operator_handle()
if persisted:
_OPERATOR_HANDLE_CACHE = _normalize_handle(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.
@@ -170,41 +174,21 @@ def _normalize_handle(raw: str) -> str:
return safe[:48] if safe else "anonymous"
_CONTACT_URL = "https://github.com/BigBodyCobain/Shadowbroker/issues"
def outbound_user_agent(purpose: str = "") -> str:
"""Build a User-Agent for an outbound third-party HTTP request.
Returns something like::
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.
Shadowbroker/0.9 (operator: shadow-7f3a92; purpose: wikipedia;
+https://github.com/BigBodyCobain/Shadowbroker/issues)
The ``purpose`` is optional but recommended it tells the upstream
what feature of ours is making the call (``wikipedia``, ``openmhz``,
``nominatim``, etc.), which makes their logs and our complaints
actionable.
Every outbound call in the backend that previously sent a custom
User-Agent should call this helper instead. Centralizing here means:
- one place to change the contact URL,
- one place to bump the version on release,
- one place a Wikimedia / OpenMHz operator can reach to ask for
the project to back off, with a per-install handle so they can
target the specific install instead of the project as a whole.
Set ``SHADOWBROKER_USER_AGENT`` to override the entire string if needed.
"""
handle = get_operator_handle()
if purpose:
purpose_clean = _normalize_handle(purpose)
return (
f"Shadowbroker/{_SHADOWBROKER_VERSION} "
f"(operator: {handle}; purpose: {purpose_clean}; +{_CONTACT_URL})"
)
return (
f"Shadowbroker/{_SHADOWBROKER_VERSION} "
f"(operator: {handle}; +{_CONTACT_URL})"
)
return f"{handle} (purpose: {purpose_clean})"
return handle
def _reset_operator_handle_cache_for_tests() -> None:
@@ -215,19 +199,13 @@ def _reset_operator_handle_cache_for_tests() -> None:
_OPERATOR_HANDLE_CACHE = ""
# Default outbound User-Agent. Retained for backwards compatibility with
# call sites that haven't been migrated to ``outbound_user_agent()`` yet.
# Operators who want full per-install attribution should set the
# ``OPERATOR_HANDLE`` setting and migrate call sites incrementally.
#
# Operators who run a public-facing relay can also override the whole UA
# string via the ``SHADOWBROKER_USER_AGENT`` env var. That override
# completely bypasses the per-operator helper; only use it if you know
# what you're doing.
DEFAULT_USER_AGENT = os.environ.get(
"SHADOWBROKER_USER_AGENT",
f"Shadowbroker/{_SHADOWBROKER_VERSION}",
)
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)
@@ -283,7 +261,7 @@ 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)
+4 -2
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@@ -12,6 +12,8 @@ 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 = {
@@ -27,7 +29,7 @@ _DEAD_FEED_URLS = {
DEFAULT_FEEDS = [
{"name": "NPR", "url": "https://feeds.npr.org/1004/rss.xml", "weight": 4},
{"name": "BBC", "url": "http://feeds.bbci.co.uk/news/world/rss.xml", "weight": 3},
{"name": "BBC", "url": "https://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},
@@ -35,7 +37,7 @@ 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": "http://www.news.cn/english/rss/worldrss.xml", "weight": 2},
{"name": "Xinhua", "url": "https://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
@@ -83,6 +83,10 @@ 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({
@@ -112,6 +116,8 @@ WRITE_COMMANDS = frozenset({
"place_analysis_zone",
"delete_analysis_zone",
"clear_analysis_zones",
# Active recon (subnet device discovery)
"osint_sweep",
})
@@ -780,6 +786,7 @@ 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"}
@@ -846,6 +853,26 @@ 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
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@@ -0,0 +1 @@
"""Operator-initiated OSINT lookups (server-side proxies)."""
+492
View File
@@ -0,0 +1,492 @@
"""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)
+135
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@@ -0,0 +1,135 @@
"""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.",
},
}
+1
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@@ -0,0 +1 @@
"""Entity graph resolution (Osiris intel layer port)."""
+268
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@@ -0,0 +1,268 @@
"""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)
@@ -0,0 +1,81 @@
"""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")
),
},
}
+33
View File
@@ -301,3 +301,36 @@ 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 []
@@ -0,0 +1,5 @@
"""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"]
@@ -0,0 +1,4 @@
from .cli import main
if __name__ == "__main__":
raise SystemExit(main())
+53
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@@ -0,0 +1,53 @@
"""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())
@@ -0,0 +1,41 @@
"""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
@@ -0,0 +1,37 @@
"""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
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@@ -0,0 +1,149 @@
"""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,
}
@@ -0,0 +1,216 @@
"""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,
)
@@ -0,0 +1,59 @@
"""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
@@ -0,0 +1,731 @@
"""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)
@@ -0,0 +1,145 @@
"""Disk persistence for road corridor trend runs."""
from __future__ import annotations
import json
import logging
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from .config import DATA_ROOT, STATE_PATH
from .presets import CORRIDOR_PRESETS, get_preset
logger = logging.getLogger(__name__)
def _utc_now_iso() -> str:
return datetime.now(timezone.utc).replace(microsecond=0).isoformat()
def preset_result_path(preset_id: str) -> Path:
return DATA_ROOT / f"{preset_id}.json"
def load_preset_result(preset_id: str) -> dict[str, Any] | None:
path = preset_result_path(preset_id)
if not path.is_file():
return None
try:
return json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError) as exc:
logger.warning("Could not read road corridor result %s: %s", path, exc)
return None
def save_preset_result(preset_id: str, payload: dict[str, Any]) -> None:
DATA_ROOT.mkdir(parents=True, exist_ok=True)
path = preset_result_path(preset_id)
path.write_text(json.dumps(payload, indent=2), encoding="utf-8")
def load_refresh_state() -> dict[str, str]:
if not STATE_PATH.is_file():
return {}
try:
raw = json.loads(STATE_PATH.read_text(encoding="utf-8"))
return {str(k): str(v) for k, v in raw.items()}
except (OSError, json.JSONDecodeError):
return {}
def save_refresh_state(state: dict[str, str]) -> None:
DATA_ROOT.mkdir(parents=True, exist_ok=True)
STATE_PATH.write_text(json.dumps(state, indent=2), encoding="utf-8")
def mark_preset_refreshed(preset_id: str) -> None:
state = load_refresh_state()
state[preset_id] = _utc_now_iso()
save_refresh_state(state)
def list_corridor_summaries() -> list[dict[str, Any]]:
summaries: list[dict[str, Any]] = []
for preset in CORRIDOR_PRESETS:
stored = load_preset_result(preset["id"])
if stored:
summaries.append(stored)
continue
summaries.append(
{
"preset_id": preset["id"],
"label": preset["label"],
"bbox": preset["bbox"],
"country": preset["country"],
"category": preset["category"],
"status": "never_run",
"daily_counts": [],
"total_detections": 0,
}
)
return summaries
def build_trends_payload() -> dict[str, Any]:
return {
"updated_at": _utc_now_iso(),
"corridors": list_corridor_summaries(),
}
def store_analysis_result(
preset_id: str,
*,
label: str,
bbox: list[float],
country: str,
category: str,
road_count: int,
frame_count: int,
detections: list[dict[str, Any]],
status: str = "ok",
error: str | None = None,
) -> dict[str, Any]:
daily: dict[str, int] = {}
for det in detections:
ts = str(det.get("timestamp", ""))[:10]
if ts:
daily[ts] = daily.get(ts, 0) + 1
daily_counts = [{"date": d, "count": daily[d]} for d in sorted(daily.keys())]
payload = {
"preset_id": preset_id,
"label": label,
"bbox": bbox,
"country": country,
"category": category,
"updated_at": _utc_now_iso(),
"road_count": road_count,
"frame_count": frame_count,
"total_detections": len(detections),
"daily_counts": daily_counts,
"status": status,
"error": error,
}
save_preset_result(preset_id, payload)
mark_preset_refreshed(preset_id)
return payload
def preset_metadata(preset_id: str) -> dict[str, Any] | None:
preset = get_preset(preset_id)
if preset is None:
return None
stored = load_preset_result(preset_id)
if stored:
return stored
return {
"preset_id": preset["id"],
"label": preset["label"],
"bbox": preset["bbox"],
"country": preset["country"],
"category": preset["category"],
"status": "never_run",
"daily_counts": [],
"total_detections": 0,
}
@@ -0,0 +1,19 @@
"""Map-viewport helpers for on-demand corridor analysis."""
from __future__ import annotations
import hashlib
def bbox_around_point(lat: float, lon: float, *, half_span_deg: float = 0.04) -> list[float]:
"""Square AOI around a map center (~45 km half-span, under the 0.5° engine cap)."""
span = min(max(half_span_deg, 0.02), 0.24)
return [lat - span, lon - span, lat + span, lon + span]
def adhoc_preset_id(lat: float, lon: float) -> str:
digest = hashlib.sha256(f"{lat:.4f},{lon:.4f}".encode()).hexdigest()[:12]
return f"adhoc_{digest}"
def default_label_for_point(lat: float, lon: float) -> str:
return f"Map center ({lat:.4f}, {lon:.4f})"
+1
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@@ -0,0 +1 @@
"""Sanctions screening (OpenSanctions OFAC SDN)."""
+154
View File
@@ -0,0 +1,154 @@
"""OFAC SDN index via OpenSanctions (adapted from Osiris sanctions.ts)."""
from __future__ import annotations
import csv
import io
import logging
import re
import threading
import time
from dataclasses import dataclass, field
from typing import Any
from services.network_utils import fetch_with_curl
logger = logging.getLogger(__name__)
SDN_CSV_URL = "https://data.opensanctions.org/datasets/latest/us_ofac_sdn/targets.simple.csv"
TTL_S = 24 * 60 * 60
_lock = threading.Lock()
_cache: dict[str, Any] | None = None
_cache_at: float = 0.0
_inflight: threading.Event | None = None
@dataclass
class SanctionEntry:
id: str
schema: str
name: str
aliases: list[str] = field(default_factory=list)
countries: list[str] = field(default_factory=list)
programs: list[str] = field(default_factory=list)
sanctions: str = ""
first_seen: str | None = None
last_seen: str | None = None
def to_dict(self) -> dict[str, Any]:
return {
"id": self.id,
"schema": self.schema,
"name": self.name,
"aliases": self.aliases,
"countries": self.countries,
"programs": self.programs,
"sanctions": self.sanctions,
"first_seen": self.first_seen,
"last_seen": self.last_seen,
}
def norm_name(s: str) -> str:
s = re.sub(r"[^\w\s]+", " ", s.lower(), flags=re.UNICODE)
return re.sub(r"\s+", " ", s).strip()
def _split_semi(val: str) -> list[str]:
return [x.strip() for x in (val or "").split(";") if x.strip()]
def _load_list() -> dict[str, Any]:
global _cache, _cache_at
with _lock:
if _cache and (time.time() - _cache_at) < TTL_S:
return _cache
try:
resp = fetch_with_curl(SDN_CSV_URL, timeout=45, headers={"Accept": "text/csv"})
if resp.status_code != 200:
raise RuntimeError(f"OpenSanctions HTTP {resp.status_code}")
text = resp.text
reader = csv.DictReader(io.StringIO(text))
entries: list[SanctionEntry] = []
by_norm: dict[str, list[SanctionEntry]] = {}
for row in reader:
name = (row.get("name") or "").strip()
if not name:
continue
entry = SanctionEntry(
id=row.get("id") or "",
schema=row.get("schema") or "LegalEntity",
name=name,
aliases=_split_semi(row.get("aliases") or ""),
countries=_split_semi(row.get("countries") or ""),
programs=_split_semi(row.get("program_ids") or ""),
sanctions=row.get("sanctions") or "",
first_seen=row.get("first_seen") or None,
last_seen=row.get("last_seen") or None,
)
entries.append(entry)
for key in {norm_name(name), *(norm_name(a) for a in entry.aliases)}:
if not key:
continue
by_norm.setdefault(key, []).append(entry)
loaded = {"entries": entries, "by_norm": by_norm, "fetched_at": time.time()}
with _lock:
_cache = loaded
_cache_at = time.time()
logger.info("OFAC SDN index loaded: %s entries", len(entries))
return loaded
except Exception as exc:
logger.error("OFAC SDN load failed: %s", exc)
with _lock:
if _cache:
return _cache
raise
def match_exact(query: str) -> list[dict[str, Any]]:
if not query or len(query) < 3:
return []
data = _load_list()
hits = data["by_norm"].get(norm_name(query), [])
return [e.to_dict() for e in hits]
def search_sanctions(query: str, *, schema: str | None = None, limit: int = 50) -> list[dict[str, Any]]:
if not query or len(query) < 4:
return []
data = _load_list()
q = norm_name(query)
exact_name: list[SanctionEntry] = []
exact_alias: list[SanctionEntry] = []
sub_name: list[SanctionEntry] = []
sub_alias: list[SanctionEntry] = []
seen: set[str] = set()
def push(bucket: list[SanctionEntry], entry: SanctionEntry) -> None:
if entry.id in seen:
return
if schema and entry.schema != schema:
return
seen.add(entry.id)
bucket.append(entry)
for entry in data["entries"]:
name_norm = norm_name(entry.name)
if name_norm == q:
push(exact_name, entry)
elif any(norm_name(a) == q for a in entry.aliases):
push(exact_alias, entry)
elif q in name_norm:
push(sub_name, entry)
elif any(q in norm_name(a) for a in entry.aliases):
push(sub_alias, entry)
if len(seen) >= limit * 4:
break
ordered = exact_name + exact_alias + sub_name + sub_alias
return [e.to_dict() for e in ordered[:limit]]
def index_size() -> int:
return len(_load_list()["entries"])
+1
View File
@@ -0,0 +1 @@
"""Supply-chain risk overlay."""
+154
View File
@@ -0,0 +1,154 @@
"""SCM supplier risk overlay (Osiris port, uses in-memory dashboard data)."""
from __future__ import annotations
import math
from datetime import datetime, timezone
from typing import Any
from services.fetchers._store import _data_lock, _mark_fresh, get_latest_data_subset_refs, is_any_active, latest_data
from services.network_utils import fetch_with_curl
SUPPLIERS: list[dict[str, Any]] = [
{"id": "sup-tsmc-hsinchu", "name": "TSMC Fab 12 (Tier 1)", "city": "Hsinchu", "country": "Taiwan", "lat": 24.774, "lng": 120.992, "category": "Semiconductor"},
{"id": "sup-tsmc-tainan", "name": "TSMC Fab 14 (Tier 1)", "city": "Tainan", "country": "Taiwan", "lat": 23.111, "lng": 120.273, "category": "Semiconductor"},
{"id": "sup-sec-giheung", "name": "Samsung Electronics (Tier 1)", "city": "Giheung", "country": "South Korea", "lat": 37.221, "lng": 127.098, "category": "Semiconductor"},
{"id": "sup-sk-icheon", "name": "SK Hynix (Tier 1)", "city": "Icheon", "country": "South Korea", "lat": 37.256, "lng": 127.483, "category": "Semiconductor"},
{"id": "sup-sony-kumamoto", "name": "Sony Semiconductor (Tier 2)", "city": "Kikuyo", "country": "Japan", "lat": 32.883, "lng": 130.825, "category": "Electronics"},
{"id": "sup-mlcc-murata", "name": "Murata MLCC (Tier 2)", "city": "Izumo", "country": "Japan", "lat": 35.361, "lng": 132.756, "category": "Electronics"},
{"id": "sup-bosch-stuttgart", "name": "Bosch Auto Parts (Tier 1)", "city": "Stuttgart", "country": "Germany", "lat": 48.815, "lng": 9.176, "category": "Automotive"},
{"id": "sup-zf-bavaria", "name": "ZF Friedrichshafen (Tier 1)", "city": "Friedrichshafen", "country": "Germany", "lat": 47.662, "lng": 9.489, "category": "Automotive"},
{"id": "sup-valeo-paris", "name": "Valeo R&D (Tier 2)", "city": "Paris", "country": "France", "lat": 48.878, "lng": 2.308, "category": "Automotive"},
{"id": "sup-magna-celaya", "name": "Magna Assembly (Tier 2)", "city": "Celaya", "country": "Mexico", "lat": 20.525, "lng": -100.814, "category": "Automotive"},
{"id": "sup-denso-monterrey", "name": "Denso Corp (Tier 1)", "city": "Monterrey", "country": "Mexico", "lat": 25.772, "lng": -100.174, "category": "Automotive"},
{"id": "sup-catl-ningde", "name": "CATL Battery HQ (Tier 1)", "city": "Ningde", "country": "China", "lat": 26.666, "lng": 119.544, "category": "Battery"},
{"id": "sup-byd-shenzhen", "name": "BYD Gigafactory (Tier 1)", "city": "Shenzhen", "country": "China", "lat": 22.684, "lng": 114.341, "category": "Battery"},
{"id": "sup-panasonic-nevada", "name": "Panasonic Giga (Tier 1)", "city": "Sparks", "country": "US", "lat": 39.539, "lng": -119.439, "category": "Battery"},
]
def _distance_km(lat1: float, lng1: float, lat2: float, lng2: float) -> float:
dx = (lng1 - lng2) * math.cos(math.radians((lat1 + lat2) / 2))
dy = lat1 - lat2
return math.sqrt(dx * dx + dy * dy) * 111.32
def _seismic_risk_level(distance_km: float, magnitude: float) -> str | None:
"""Meaningful fab impact only — ignore routine micro-quakes (e.g. Taiwan M3.x)."""
if magnitude < 4.5:
return None
if magnitude >= 6.0 and distance_km <= 200:
return "CRITICAL"
if magnitude >= 5.5 and distance_km <= 75:
return "CRITICAL"
if magnitude >= 5.0 and distance_km <= 100:
return "HIGH"
if magnitude >= 4.5 and distance_km <= 40:
return "HIGH"
return None
def _apply_seismic_threats(suppliers: list[dict[str, Any]], earthquakes: list[dict[str, Any]]) -> None:
for sup in suppliers:
best: tuple[str, float] | None = None
for eq in earthquakes:
lat = eq.get("lat")
lng = eq.get("lng") or eq.get("lon")
mag = float(eq.get("mag") or eq.get("magnitude") or 0)
if lat is None or lng is None or mag < 4.5:
continue
dist = _distance_km(sup["lat"], sup["lng"], float(lat), float(lng))
level = _seismic_risk_level(dist, mag)
if not level:
continue
severity = {"HIGH": 1, "CRITICAL": 2}
if best is None:
best = (level, mag)
else:
cur = severity[level]
prev = severity[best[0]]
if cur > prev or (cur == prev and mag > best[1]):
best = (level, mag)
if best:
level, mag = best
if sup["risk_level"] == "NORMAL" or (
level == "CRITICAL" and sup["risk_level"] != "CRITICAL"
):
sup["risk_level"] = level
elif level == "CRITICAL" and sup["risk_level"] == "HIGH":
sup["risk_level"] = "CRITICAL"
sup["active_threats"].append(f"SEISMIC PROXIMITY (M{mag:.1f})")
def build_scm_payload() -> dict[str, Any]:
suppliers = [{**s, "risk_level": "NORMAL", "active_threats": []} for s in SUPPLIERS]
refs = get_latest_data_subset_refs("earthquakes", "firms_fires", "gdelt")
earthquakes = refs.get("earthquakes") or []
_apply_seismic_threats(suppliers, earthquakes)
fires = refs.get("firms_fires") or []
for sup in suppliers:
count = 0
for fire in fires:
lat = fire.get("lat") or fire.get("latitude")
lng = fire.get("lng") or fire.get("lon") or fire.get("longitude")
if lat is None or lng is None:
continue
if _distance_km(sup["lat"], sup["lng"], float(lat), float(lng)) < 50:
count += 1
if count:
if sup["risk_level"] == "NORMAL":
sup["risk_level"] = "HIGH"
sup["active_threats"].append(f"WILDFIRE PROXIMITY ({count} hotspots)")
conflicts = refs.get("gdelt") or []
for sup in suppliers:
for event in conflicts:
lat = event.get("lat")
lng = event.get("lng") or event.get("lon")
if lat is None or lng is None:
continue
if _distance_km(sup["lat"], sup["lng"], float(lat), float(lng)) < 100:
sup["risk_level"] = "CRITICAL"
sup["active_threats"].append("ARMED CONFLICT / RIOT")
break
# USGS fallback if earthquakes empty
if not earthquakes:
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:
features = resp.json().get("features") or []
usgs_quakes = [
{
"lat": f.get("geometry", {}).get("coordinates", [None, None])[1],
"lng": f.get("geometry", {}).get("coordinates", [None, None])[0],
"mag": f.get("properties", {}).get("mag") or 0,
}
for f in features
if len(f.get("geometry", {}).get("coordinates") or []) >= 2
]
_apply_seismic_threats(suppliers, usgs_quakes)
except Exception:
pass
critical = sum(1 for s in suppliers if s["risk_level"] == "CRITICAL")
return {
"suppliers": suppliers,
"total": len(suppliers),
"critical_count": critical,
"timestamp": datetime.now(timezone.utc).isoformat(),
}
def fetch_scm_suppliers() -> dict[str, Any]:
if not is_any_active("scm_suppliers"):
return latest_data.get("scm_suppliers") or {}
payload = build_scm_payload()
with _data_lock:
latest_data["scm_suppliers"] = payload
_mark_fresh("scm_suppliers")
return payload
+44 -22
View File
@@ -26,6 +26,46 @@ def _planetary_user_agent() -> str:
return outbound_user_agent("sentinel2-planetary-computer")
def _sign_planetary_href(href: str) -> str:
"""Sign a Planetary Computer blob URL with a short-lived SAS token."""
if not href or "blob.core.windows.net" not in href:
return href
try:
account = href.split(".blob.core.windows.net")[0].split("//")[-1]
token_resp = requests.get(
f"https://planetarycomputer.microsoft.com/api/sas/v1/token/{account}",
timeout=5,
headers={"User-Agent": _planetary_user_agent()},
)
token_resp.raise_for_status()
token = token_resp.json().get("token", "")
if not token:
return href
sep = "&" if "?" in href else "?"
return f"{href}{sep}{token}"
except (requests.RequestException, ValueError, KeyError):
return href
def _scene_from_stac_feature(item: dict) -> dict:
assets = item.get("assets", {}) or {}
rendered = assets.get("rendered_preview") or {}
thumbnail = assets.get("thumbnail") or {}
props = item.get("properties", {}) or {}
thumb_href = _sign_planetary_href(thumbnail.get("href") or rendered.get("href") or "")
full_href = _sign_planetary_href(rendered.get("href") or thumbnail.get("href") or "")
return {
"found": True,
"scene_id": item.get("id"),
"datetime": props.get("datetime"),
"cloud_cover": props.get("eo:cloud_cover"),
"thumbnail_url": thumb_href or None,
"fullres_url": full_href or None,
"bbox": list(item.get("bbox", [])) if item.get("bbox") else None,
"platform": props.get("platform", "Sentinel-2"),
}
def _esri_imagery_fallback(lat: float, lng: float) -> dict:
lat_span = 0.18
lng_span = 0.24
@@ -53,14 +93,14 @@ def _esri_imagery_fallback(lat: float, lng: float) -> dict:
def search_sentinel2_scene(lat: float, lng: float) -> dict:
"""Search for the latest Sentinel-2 L2A scene covering a point."""
"""Search for up to 3 recent Sentinel-2 L2A scenes covering a point."""
cache_key = f"{round(lat, 2)}_{round(lng, 2)}"
if cache_key in _sentinel_cache:
return _sentinel_cache[cache_key]
try:
end = datetime.utcnow()
start = end - timedelta(days=30)
start = end - timedelta(days=60)
search_payload = {
"collections": ["sentinel-2-l2a"],
"intersects": {"type": "Point", "coordinates": [lng, lat]},
@@ -83,26 +123,8 @@ def search_sentinel2_scene(lat: float, lng: float) -> dict:
_sentinel_cache[cache_key] = result
return result
item = features[0]
assets = item.get("assets", {}) or {}
rendered = assets.get("rendered_preview") or {}
thumbnail = assets.get("thumbnail") or {}
# Full-res image URL — what opens when user clicks
fullres_url = rendered.get("href") or thumbnail.get("href")
# Thumbnail URL — what shows in the popup card
thumb_url = thumbnail.get("href") or rendered.get("href")
result = {
"found": True,
"scene_id": item.get("id"),
"datetime": item.get("properties", {}).get("datetime"),
"cloud_cover": item.get("properties", {}).get("eo:cloud_cover"),
"thumbnail_url": thumb_url,
"fullres_url": fullres_url,
"bbox": list(item.get("bbox", [])) if item.get("bbox") else None,
"platform": item.get("properties", {}).get("platform", "Sentinel-2"),
}
scenes = [_scene_from_stac_feature(item) for item in features[:3]]
result = {**scenes[0], "scenes": scenes}
_sentinel_cache[cache_key] = result
return result
+1 -1
View File
@@ -58,7 +58,7 @@ SLO_REGISTRY: Dict[str, SLO] = {
"uap_sightings": SLO(
max_age_s=26 * _HOUR,
min_rows=50,
description="NUFORC rolling 60-day window (daily refresh)",
description="NUFORC rolling 60-day window (weekly refresh)",
),
"wastewater": SLO(
max_age_s=30 * _HOUR,
+141
View File
@@ -0,0 +1,141 @@
"""SSRF guard for operator-initiated recon (ported from Osiris ssrf-guard.ts)."""
from __future__ import annotations
import ipaddress
import re
import socket
from typing import Any
from urllib.parse import urljoin, urlparse
import requests
_IPV4_BLOCKS = [
ipaddress.ip_network("0.0.0.0/8"),
ipaddress.ip_network("10.0.0.0/8"),
ipaddress.ip_network("100.64.0.0/10"),
ipaddress.ip_network("127.0.0.0/8"),
ipaddress.ip_network("169.254.0.0/16"),
ipaddress.ip_network("172.16.0.0/12"),
ipaddress.ip_network("192.0.0.0/24"),
ipaddress.ip_network("192.0.2.0/24"),
ipaddress.ip_network("192.168.0.0/16"),
ipaddress.ip_network("198.18.0.0/15"),
ipaddress.ip_network("198.51.100.0/24"),
ipaddress.ip_network("203.0.113.0/24"),
ipaddress.ip_network("224.0.0.0/4"),
ipaddress.ip_network("240.0.0.0/4"),
]
_NAME_BLOCKLIST = (
re.compile(r"^localhost$", re.I),
re.compile(r"\.localhost$", re.I),
re.compile(r"^host\.docker\.internal$", re.I),
re.compile(r"\.local$", re.I),
re.compile(r"\.internal$", re.I),
re.compile(r"^metadata\.google\.internal$", re.I),
)
_HOSTNAME_RE = re.compile(
r"^[a-zA-Z0-9]([a-zA-Z0-9-]*[a-zA-Z0-9])?(\.[a-zA-Z0-9]([a-zA-Z0-9-]*[a-zA-Z0-9])?)*$"
)
def _ipv4_blocked(ip: str) -> bool:
try:
addr = ipaddress.ip_address(ip)
except ValueError:
return True
if not isinstance(addr, ipaddress.IPv4Address):
return False
return any(addr in net for net in _IPV4_BLOCKS)
def _ip_blocked(ip: str) -> bool:
try:
addr = ipaddress.ip_address(ip)
except ValueError:
return True
if isinstance(addr, ipaddress.IPv4Address):
return _ipv4_blocked(ip)
return (
addr.is_loopback
or addr.is_private
or addr.is_link_local
or addr.is_multicast
or addr.is_reserved
or addr.is_unspecified
)
def validate_host(host: str) -> dict[str, Any]:
trimmed = (host or "").strip()
if not trimmed:
return {"ok": False, "reason": "empty host"}
bracketed = trimmed.strip("[]")
lower = trimmed.lower()
if any(p.search(lower) for p in _NAME_BLOCKLIST):
return {"ok": False, "reason": "hostname matches reserved name pattern"}
try:
ipaddress.ip_address(bracketed)
is_literal = True
except ValueError:
is_literal = False
if is_literal:
if _ip_blocked(bracketed):
return {"ok": False, "reason": "IP in reserved range"}
return {"ok": True, "resolved": [bracketed]}
if not _HOSTNAME_RE.match(trimmed):
return {"ok": False, "reason": "invalid hostname syntax"}
try:
infos = socket.getaddrinfo(trimmed, None, proto=socket.IPPROTO_TCP)
except OSError as exc:
return {"ok": False, "reason": f"DNS lookup failed: {exc}"}
if not infos:
return {"ok": False, "reason": "hostname has no A/AAAA records"}
resolved: list[str] = []
for info in infos:
addr = info[4][0]
if _ip_blocked(addr):
return {"ok": False, "reason": f"hostname resolves to reserved IP {addr}"}
resolved.append(addr)
return {"ok": True, "resolved": resolved}
def safe_get(
url: str,
*,
timeout: float = 8.0,
headers: dict[str, str] | None = None,
max_redirects: int = 3,
) -> requests.Response:
current = url
for _ in range(max_redirects + 1):
parsed = urlparse(current)
if parsed.scheme not in ("http", "https"):
raise ValueError(f"blocked protocol {parsed.scheme}")
check = validate_host(parsed.hostname or "")
if not check.get("ok"):
raise ValueError(f"blocked target — {check.get('reason')}")
res = requests.get(
current,
timeout=timeout,
headers=headers or {},
allow_redirects=False,
)
if 300 <= res.status_code < 400:
loc = res.headers.get("location")
if not loc:
return res
current = urljoin(current, loc)
continue
return res
raise ValueError("too many redirects")
def validate_domain(domain: str) -> bool:
return bool(re.match(r"^[a-zA-Z0-9][a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$", domain or ""))
+200 -30
View File
@@ -93,6 +93,10 @@ _SLOW_KEYS = (
"sar_scenes",
"sar_anomalies",
"sar_aoi_coverage",
"malware_threats",
"cyber_threats",
"scm_suppliers",
"telegram_osint",
)
@@ -158,6 +162,20 @@ _ENTITY_LAYER_ALIASES = {
"uap_sightings": "uap_sightings",
"wastewater": "wastewater",
"pins": "pins",
"telegram": "telegram_osint",
"telegram_osint": "telegram_osint",
"osint_feed": "telegram_osint",
"malware": "malware_threats",
"malware_threats": "malware_threats",
"malware_c2": "malware_threats",
"botnet": "malware_threats",
"cyber": "cyber_threats",
"cyber_threats": "cyber_threats",
"cisa": "cyber_threats",
"kev": "cyber_threats",
"scm": "scm_suppliers",
"scm_suppliers": "scm_suppliers",
"suppliers": "scm_suppliers",
}
_SLICEABLE_LAYERS = tuple(dict.fromkeys(_FAST_KEYS + _SLOW_KEYS))
@@ -188,6 +206,21 @@ _LAYER_ALIASES = {
"sar_coverage": "sar_aoi_coverage",
# Satellite analysis (maneuvers, decay, Starlink)
"satellite_analysis": "satellite_analysis",
# OSINT / cyber / supply-chain overlays
"telegram": "telegram_osint",
"telegram_osint": "telegram_osint",
"osint_feed": "telegram_osint",
"malware": "malware_threats",
"malware_threats": "malware_threats",
"malware_c2": "malware_threats",
"botnet": "malware_threats",
"cyber": "cyber_threats",
"cyber_threats": "cyber_threats",
"cisa": "cyber_threats",
"kev": "cyber_threats",
"scm": "scm_suppliers",
"scm_suppliers": "scm_suppliers",
"suppliers": "scm_suppliers",
}
_UNIVERSAL_SEARCH_DEFAULT_LAYERS = (
@@ -225,6 +258,10 @@ _UNIVERSAL_SEARCH_DEFAULT_LAYERS = (
"tinygs_satellites",
"psk_reporter",
"ukraine_alerts",
"telegram_osint",
"malware_threats",
"cyber_threats",
"scm_suppliers",
)
_GENERIC_QUERY_STOPWORDS = {
@@ -269,7 +306,19 @@ _GENERIC_LAYER_HINTS: dict[str, tuple[str, ...]] = {
"protest": ("crowdthreat", "gdelt", "news", "frontlines", "liveuamap"),
"riot": ("crowdthreat", "gdelt", "news", "frontlines", "liveuamap"),
"event": ("crowdthreat", "gdelt", "news", "frontlines", "liveuamap"),
"news": ("news", "gdelt", "crowdthreat", "frontlines", "liveuamap"),
"news": ("news", "gdelt", "crowdthreat", "frontlines", "liveuamap", "telegram_osint"),
"telegram": ("telegram_osint",),
"osint": ("telegram_osint", "gdelt", "news", "crowdthreat"),
"channel": ("telegram_osint",),
"malware": ("malware_threats",),
"botnet": ("malware_threats",),
"c2": ("malware_threats",),
"cve": ("cyber_threats",),
"cisa": ("cyber_threats",),
"cyber": ("cyber_threats", "malware_threats"),
"supplier": ("scm_suppliers",),
"scm": ("scm_suppliers",),
"semiconductor": ("scm_suppliers",),
"plant": ("power_plants", "wastewater"),
"datacenter": ("datacenters",),
"data": ("datacenters",),
@@ -314,6 +363,10 @@ _SEARCH_GROUP_BY_LAYER = {
"kiwisdr": "signals",
"psk_reporter": "signals",
"ukraine_alerts": "events",
"telegram_osint": "events",
"malware_threats": "cyber",
"cyber_threats": "cyber",
"scm_suppliers": "infrastructure",
}
_SEARCH_QUERY_SYNONYMS: dict[str, tuple[str, ...]] = {
@@ -328,6 +381,9 @@ _SEARCH_QUERY_SYNONYMS: dict[str, tuple[str, ...]] = {
"plants": ("plant",),
"cameras": ("camera",),
"radios": ("radio",),
"telegrams": ("telegram",),
"channels": ("channel",),
"suppliers": ("supplier",),
}
_SEARCH_INDEX_LOCK = threading.Lock()
@@ -653,6 +709,42 @@ _UNIVERSAL_SEARCH_SPECS: dict[str, dict[str, Any]] = {
"id_fields": ("id",),
"time_fields": ("updated_at", "timestamp"),
},
"telegram_osint": {
"fields": ("title", "description", "source", "channel", "link"),
"primary_fields": ("title", "description", "channel"),
"label_fields": ("title", "channel"),
"summary_fields": ("description", "source"),
"type_fields": ("channel", "source"),
"id_fields": ("id", "link"),
"time_fields": ("published", "timestamp"),
},
"malware_threats": {
"fields": ("ip", "malware", "status", "country", "threat_type"),
"primary_fields": ("ip", "malware", "country"),
"label_fields": ("ip", "malware"),
"summary_fields": ("status", "country", "threat_type"),
"type_fields": ("threat_type", "malware"),
"id_fields": ("id", "ip"),
"time_fields": ("first_seen", "last_online", "timestamp"),
},
"cyber_threats": {
"fields": ("id", "name", "vendor", "product", "severity", "source"),
"primary_fields": ("id", "name", "vendor", "product"),
"label_fields": ("id", "name"),
"summary_fields": ("vendor", "product", "severity", "source"),
"type_fields": ("severity", "source"),
"id_fields": ("id",),
"time_fields": ("date", "due", "timestamp"),
},
"scm_suppliers": {
"fields": ("name", "city", "country", "category", "risk_level"),
"primary_fields": ("name", "city", "country", "category"),
"label_fields": ("name", "city"),
"summary_fields": ("country", "category", "risk_level"),
"type_fields": ("category", "risk_level"),
"id_fields": ("id",),
"time_fields": ("timestamp",),
},
}
@@ -734,6 +826,11 @@ def _extract_coords(candidate: dict[str, Any]) -> tuple[float | None, float | No
if isinstance(coords, (list, tuple)) and len(coords) >= 2:
lng = lng if lng is not None else _coerce_float(coords[0])
lat = lat if lat is not None else _coerce_float(coords[1])
if lat is None or lng is None:
coords = candidate.get("coords")
if isinstance(coords, (list, tuple)) and len(coords) >= 2:
lat = lat if lat is not None else _coerce_float(coords[0])
lng = lng if lng is not None else _coerce_float(coords[1])
return lat, lng
@@ -832,6 +929,53 @@ def _layer_group(layer: str) -> str:
return _SEARCH_GROUP_BY_LAYER.get(layer, "other")
_LAYER_NESTED_LIST_KEYS: dict[str, tuple[str, ...]] = {
"telegram_osint": ("posts",),
"malware_threats": ("threats",),
"cyber_threats": ("threats",),
"scm_suppliers": ("suppliers",),
}
_DEFAULT_NESTED_LIST_KEYS = (
"items",
"results",
"vessels",
"features",
"posts",
"threats",
"suppliers",
)
def _unwrap_layer_items(value: Any, layer: str = "") -> list[Any]:
"""Return the searchable/geospatial item list inside a layer value."""
if isinstance(value, list):
return value
if not isinstance(value, dict):
return []
keys = _LAYER_NESTED_LIST_KEYS.get(layer, _DEFAULT_NESTED_LIST_KEYS)
for key in keys:
nested = value.get(key)
if isinstance(nested, list):
return nested
return []
def _layer_record_count(value: Any, layer: str = "") -> int:
if isinstance(value, list):
return len(value)
if isinstance(value, dict):
total = value.get("total")
if isinstance(total, (int, float)):
return int(total)
items = _unwrap_layer_items(value, layer)
if items:
return len(items)
return len(value) if value else 0
if value is None:
return 0
return 1
def _build_search_document(doc_id: int, layer: str, candidate: dict[str, Any], spec: dict[str, Any]) -> dict[str, Any]:
fields = tuple(spec.get("fields", ()))
text = _document_text(candidate, fields)
@@ -880,9 +1024,7 @@ def _get_search_index() -> dict[str, Any]:
for layer in layers:
spec = _UNIVERSAL_SEARCH_SPECS[layer]
items = snap.get(layer) or []
if isinstance(items, dict):
items = items.get("items", []) or items.get("results", []) or items.get("vessels", [])
items = _unwrap_layer_items(snap.get(layer), layer)
if not isinstance(items, list):
continue
for item in items:
@@ -1144,18 +1286,9 @@ def get_telemetry_summary() -> dict[str, Any]:
for layer in layer_names:
value = snap.get(layer)
if isinstance(value, list):
counts[layer] = len(value)
if value:
non_empty_layers.append(layer)
elif isinstance(value, dict):
counts[layer] = len(value)
if value:
non_empty_layers.append(layer)
elif value is None:
counts[layer] = 0
else:
counts[layer] = 1
count = _layer_record_count(value, layer)
counts[layer] = count
if count > 0:
non_empty_layers.append(layer)
alias_examples = {
@@ -1167,6 +1300,16 @@ def get_telemetry_summary() -> dict[str, Any]:
"tracked": "tracked_flights",
"military": "military_flights",
"jets": "private_jets",
"telegram": "telegram_osint",
"osint_feed": "telegram_osint",
"malware": "malware_threats",
"malware_c2": "malware_threats",
"botnet": "malware_threats",
"cyber": "cyber_threats",
"cisa": "cyber_threats",
"kev": "cyber_threats",
"scm": "scm_suppliers",
"suppliers": "scm_suppliers",
}
return {
@@ -1577,14 +1720,7 @@ def _nearby_items_from_layers(
snap = get_latest_data_subset_refs(*layers)
out: dict[str, list[dict[str, Any]]] = {}
for layer in layers:
value = snap.get(layer) or []
if isinstance(value, dict):
if layer == "gdelt" and isinstance(value.get("features"), list):
items = value.get("features") or []
else:
items = value.get("items") or value.get("features") or value.get("vessels") or []
else:
items = value
items = _unwrap_layer_items(snap.get(layer), layer)
if not isinstance(items, list):
continue
matches: list[dict[str, Any]] = []
@@ -1728,6 +1864,9 @@ def correlate_entity(
"crowdthreat",
"frontlines",
"liveuamap",
"telegram_osint",
"malware_threats",
"scm_suppliers",
"military_bases",
"datacenters",
"power_plants",
@@ -1809,13 +1948,17 @@ def search_news(
query: str,
limit: int = 10,
include_gdelt: bool = True,
include_telegram: bool = True,
) -> dict[str, Any]:
"""Search news and event layers server-side and return a compact result set."""
query_norm = _norm_text(query)
if not query_norm:
return {"results": [], "version": get_data_version(), "truncated": False}
snap = get_latest_data_subset_refs("news", "gdelt", "crowdthreat", "liveuamap", "frontlines")
layer_keys = ["news", "gdelt", "crowdthreat", "liveuamap", "frontlines"]
if include_telegram:
layer_keys.append("telegram_osint")
snap = get_latest_data_subset_refs(*layer_keys)
out: list[dict[str, Any]] = []
limit = _coerce_limit(limit, default=10, maximum=50)
@@ -1941,6 +2084,36 @@ def search_news(
if len(out) >= limit:
return {"results": out, "version": get_data_version(), "truncated": True}
if include_telegram:
for post in _unwrap_layer_items(snap.get("telegram_osint"), "telegram_osint"):
if not isinstance(post, dict):
continue
text = " ".join(
(
_norm_text(post.get("title")),
_norm_text(post.get("description")),
_norm_text(post.get("source")),
_norm_text(post.get("channel")),
)
)
if not _text_matches_query(query_norm, text):
continue
lat, lng = _extract_coords(post)
out.append(
{
"source_layer": "telegram_osint",
"title": post.get("title") or "",
"summary": post.get("description") or "",
"source": post.get("source") or post.get("channel") or "Telegram",
"link": post.get("link") or "",
"lat": lat,
"lng": lng,
"risk_score": post.get("risk_score"),
}
)
if len(out) >= limit:
return {"results": out, "version": get_data_version(), "truncated": True}
return {"results": out, "version": get_data_version(), "truncated": False}
@@ -2205,16 +2378,13 @@ def entities_near(
out: list[dict[str, Any]] = []
for layer in layers:
items = snap.get(layer) or []
if isinstance(items, dict):
items = items.get("vessels", []) or items.get("items", [])
items = _unwrap_layer_items(snap.get(layer), layer)
if not isinstance(items, list):
continue
for item in items:
if not isinstance(item, dict):
continue
item_lat = _coerce_float(item.get("lat") or item.get("latitude"))
item_lng = _coerce_float(item.get("lng") or item.get("lon") or item.get("longitude"))
item_lat, item_lng = _extract_coords(item)
if item_lat is None or item_lng is None:
continue
distance = _haversine_km(center_lat, center_lng, item_lat, item_lng)
-6
View File
@@ -30,12 +30,6 @@ def client(_suppress_background_services):
from main import app
import asyncio
transport = ASGITransport(app=app)
async def _make_client():
async with AsyncClient(transport=transport, base_url="http://test") as ac:
return ac
# Return a sync-usable wrapper
class SyncClient:
def __init__(self):
@@ -38,18 +38,6 @@
"main",
"routers.health"
],
"GET /api/live-data": [
"main",
"routers.data"
],
"GET /api/live-data/fast": [
"main",
"routers.data"
],
"GET /api/live-data/slow": [
"main",
"routers.data"
],
"GET /api/mesh/channels": [
"main",
"routers.mesh_public"
+42 -13
View File
@@ -87,11 +87,28 @@ def _run_gate_release_once(monkeypatch, *, transport_tier="private_strong"):
def _patch_for_successful_post(monkeypatch, module):
"""Apply standard monkeypatches so a gate_message post succeeds."""
import main
from services.mesh import mesh_hashchain
_setup_gate_outbox(monkeypatch)
monkeypatch.setattr(main, "_verify_gate_message_signed_write", lambda **kw: (True, "ok", kw.get("reply_to", "")))
monkeypatch.setattr(main, "_resolve_envelope_policy", lambda _gate_id: "envelope_disabled")
def _fake_private_gate_append(**kwargs):
return {
"event_id": f"ledger-ev-{kwargs.get('sequence', 0)}",
"event_type": "gate_message",
"node_id": kwargs["node_id"],
"payload": dict(kwargs["payload"]),
"timestamp": kwargs.get("timestamp", 0) or 123.0,
"sequence": kwargs["sequence"],
"signature": kwargs["signature"],
"public_key": kwargs["public_key"],
"public_key_algo": kwargs["public_key_algo"],
"protocol_version": kwargs.get("protocol_version", "infonet/2"),
}
monkeypatch.setattr(mesh_hashchain.infonet, "append_private_gate_message", _fake_private_gate_append)
from services.mesh.mesh_reputation import gate_manager, reputation_ledger
monkeypatch.setattr(gate_manager, "can_enter", lambda *a, **kw: (True, "ok"))
@@ -255,19 +272,30 @@ def test_gate_post_preserves_gate_envelope_in_store(monkeypatch):
def test_gate_post_advances_sequence(monkeypatch):
"""validate_and_set_sequence must be called to advance the counter."""
"""append_private_gate_message must receive the gate sequence."""
import main
from services.mesh import mesh_hashchain
_patch_for_successful_post(monkeypatch, main)
seq_calls = []
append_calls = []
def track_seq(node_id, seq, *, domain=""):
seq_calls.append((node_id, seq, domain))
return (True, "ok")
def track_private_append(**kwargs):
append_calls.append(kwargs)
return {
"event_id": "ev-seq",
"event_type": "gate_message",
"node_id": kwargs["node_id"],
"payload": dict(kwargs["payload"]),
"timestamp": kwargs.get("timestamp", 0) or 123.0,
"sequence": kwargs["sequence"],
"signature": kwargs["signature"],
"public_key": kwargs["public_key"],
"public_key_algo": kwargs["public_key_algo"],
"protocol_version": kwargs.get("protocol_version", "infonet/2"),
}
monkeypatch.setattr(mesh_hashchain.infonet, "validate_and_set_sequence", track_seq)
monkeypatch.setattr(mesh_hashchain.infonet, "append_private_gate_message", track_private_append)
monkeypatch.setattr(
mesh_hashchain.gate_store,
"append",
@@ -280,8 +308,9 @@ def test_gate_post_advances_sequence(monkeypatch):
assert result["ok"] is True
assert result["queued"] is True
assert len(seq_calls) == 1
assert seq_calls[0] == ("!sb_test1234567890", 42, "gate_message")
assert len(append_calls) == 1
assert append_calls[0]["node_id"] == "!sb_test1234567890"
assert append_calls[0]["sequence"] == 42
def test_gate_post_rejects_replay_via_sequence(monkeypatch):
@@ -290,11 +319,11 @@ def test_gate_post_rejects_replay_via_sequence(monkeypatch):
from services.mesh import mesh_hashchain
_patch_for_successful_post(monkeypatch, main)
monkeypatch.setattr(
mesh_hashchain.infonet,
"validate_and_set_sequence",
lambda node_id, seq: (False, "Replay detected: sequence 1 <= last 1"),
)
def reject_private_append(**_kwargs):
raise ValueError("Replay detected: sequence 1 <= last 1")
monkeypatch.setattr(mesh_hashchain.infonet, "append_private_gate_message", reject_private_append)
gate_id = "infonet"
body = _build_gate_message_body(gate_id, sequence=1)
@@ -117,3 +117,11 @@ def test_finish_solo_sync_marks_first_node_ready_without_peer_failure():
assert finished.next_sync_due_at == 500
assert should_run_sync(finished, now=499) is False
assert should_run_sync(finished, now=500) is True
def test_should_run_sync_recovers_stale_running_state():
fresh = SyncWorkerState(last_sync_started_at=100, last_outcome="running")
stale = SyncWorkerState(last_sync_started_at=100, last_outcome="running")
assert should_run_sync(fresh, now=399) is False
assert should_run_sync(stale, now=400) is True
@@ -8,6 +8,53 @@ from cryptography.hazmat.primitives.asymmetric import ed25519
from httpx import ASGITransport, AsyncClient
def test_onion_peer_requests_use_arti_socks_proxy(monkeypatch):
import main
from services import wormhole_supervisor
monkeypatch.setattr(main, "_infonet_private_transport_required", lambda: True)
monkeypatch.setattr(
main,
"get_settings",
lambda: SimpleNamespace(MESH_ARTI_ENABLED=True, MESH_ARTI_SOCKS_PORT=19050),
)
monkeypatch.setattr(wormhole_supervisor, "_check_arti_ready", lambda: True)
proxies = main._infonet_peer_requests_proxies("http://exampleabcd.onion:8000")
assert proxies == {
"http": "socks5h://127.0.0.1:19050",
"https": "socks5h://127.0.0.1:19050",
}
def test_private_peer_requests_reject_clearnet(monkeypatch):
import main
monkeypatch.setattr(main, "_infonet_private_transport_required", lambda: True)
try:
main._infonet_peer_requests_proxies("https://seed.example")
except RuntimeError as exc:
assert "private Infonet requires onion/RNS transport" in str(exc)
else:
raise AssertionError("clearnet peer was allowed while private transport is required")
def test_local_peer_url_prefers_configured_public_peer_url(monkeypatch):
import main
monkeypatch.setattr(
main,
"get_settings",
lambda: SimpleNamespace(
MESH_PUBLIC_PEER_URL="HTTP://LOCALPEEREXAMPLE.onion:8000/",
),
)
assert main._local_infonet_peer_url() == "http://localpeerexample.onion:8000"
def _write_signed_manifest(path, *, private_key):
from services.mesh.mesh_bootstrap_manifest import BOOTSTRAP_MANIFEST_VERSION
from services.mesh.mesh_crypto import canonical_json
@@ -142,6 +189,134 @@ def test_refresh_node_peer_store_suppresses_clearnet_seed_by_default(tmp_path, m
assert store.records_for_bucket("sync") == []
def test_refresh_node_peer_store_prunes_persisted_clearnet_records_in_private_mode(tmp_path, monkeypatch):
import main
from services.config import get_settings
from services.mesh import mesh_peer_store as peer_store_mod
peer_store_path = tmp_path / "peer_store.json"
monkeypatch.setattr(peer_store_mod, "DEFAULT_PEER_STORE_PATH", peer_store_path)
store = peer_store_mod.PeerStore(peer_store_path)
store.upsert(
peer_store_mod.make_bootstrap_peer_record(
peer_url="https://node.shadowbroker.info",
transport="clearnet",
role="seed",
signer_id="shadowbroker-default",
now=1_749_999_900,
)
)
store.upsert(
peer_store_mod.make_sync_peer_record(
peer_url="https://node.shadowbroker.info",
transport="clearnet",
role="seed",
source="bundle",
now=1_749_999_900,
)
)
store.upsert(
peer_store_mod.make_push_peer_record(
peer_url="https://node.shadowbroker.info",
transport="clearnet",
role="relay",
now=1_749_999_900,
)
)
store.save()
onion_seed = "http://gqpbunqbgtkcqilvclm3xrkt3zowjyl3s62kkktvojgvxzizamvbrqid.onion:8000"
monkeypatch.setenv("MESH_RELAY_PEERS", "")
monkeypatch.setenv("MESH_BOOTSTRAP_SEED_PEERS", onion_seed)
monkeypatch.setenv("MESH_DEFAULT_SYNC_PEERS", "")
monkeypatch.delenv("MESH_INFONET_ALLOW_CLEARNET_SYNC", raising=False)
monkeypatch.setenv("MESH_BOOTSTRAP_SIGNER_PUBLIC_KEY", "")
get_settings.cache_clear()
try:
snapshot = main._refresh_node_peer_store(now=1_750_000_000)
store = peer_store_mod.PeerStore(peer_store_path)
store.load()
finally:
get_settings.cache_clear()
assert snapshot["private_transport_required"] is True
assert snapshot["pruned_clearnet_peer_count"] == 3
assert [record.peer_url for record in store.records()] == [onion_seed, onion_seed]
assert {record.bucket for record in store.records()} == {"bootstrap", "sync"}
assert all(record.transport == "onion" for record in store.records())
def test_infonet_peer_url_filter_excludes_clearnet_in_private_mode(monkeypatch):
import main
from services.config import get_settings
monkeypatch.delenv("MESH_INFONET_ALLOW_CLEARNET_SYNC", raising=False)
get_settings.cache_clear()
try:
assert main._filter_infonet_peer_urls(
[
"https://node.shadowbroker.info",
"http://gqpbunqbgtkcqilvclm3xrkt3zowjyl3s62kkktvojgvxzizamvbrqid.onion:8000",
]
) == ["http://gqpbunqbgtkcqilvclm3xrkt3zowjyl3s62kkktvojgvxzizamvbrqid.onion:8000"]
finally:
get_settings.cache_clear()
def test_public_sync_cycle_backs_off_on_429_retry_after(tmp_path, monkeypatch):
import time
import main
from services.config import get_settings
from services.mesh import mesh_peer_store as peer_store_mod
peer_store_path = tmp_path / "peer_store.json"
monkeypatch.setattr(peer_store_mod, "DEFAULT_PEER_STORE_PATH", peer_store_path)
onion_seed = "http://gqpbunqbgtkcqilvclm3xrkt3zowjyl3s62kkktvojgvxzizamvbrqid.onion:8000"
store = peer_store_mod.PeerStore(peer_store_path)
store.upsert(
peer_store_mod.make_sync_peer_record(
peer_url=onion_seed,
transport="onion",
role="seed",
source="bundle",
now=1_750_000_000,
)
)
store.save()
monkeypatch.delenv("MESH_INFONET_ALLOW_CLEARNET_SYNC", raising=False)
monkeypatch.setenv("MESH_SYNC_FAILURE_BACKOFF_S", "60")
monkeypatch.setenv("MESH_BOOTSTRAP_SEED_FAILURE_COOLDOWN_S", "15")
get_settings.cache_clear()
monkeypatch.setattr(main, "_participant_node_enabled", lambda: True)
monkeypatch.setattr(main, "_ensure_infonet_private_transport_ready", lambda reason="": True)
monkeypatch.setattr(
main,
"_sync_from_peer",
lambda peer_url: (_ for _ in ()).throw(
main.PeerSyncHTTPError(429, "rate limited", retry_after_s=180)
),
)
main.set_sync_state(main.SyncWorkerState())
try:
before = int(time.time())
state = main._run_public_sync_cycle()
store = peer_store_mod.PeerStore(peer_store_path)
store.load()
finally:
get_settings.cache_clear()
main.set_sync_state(main.SyncWorkerState())
record = store.records_for_bucket("sync")[0]
assert state.last_error == "HTTP 429: rate limited"
assert state.next_sync_due_at >= before + 180
assert record.cooldown_until >= before + 180
def test_verify_peer_push_hmac_requires_allowlisted_peer(monkeypatch):
import hashlib
import hmac
@@ -225,3 +400,29 @@ def test_public_sync_cycle_allows_first_node_without_peers(tmp_path, monkeypatch
assert result.last_error == ""
assert result.last_peer_url == ""
assert result.consecutive_failures == 0
def test_headless_mesh_node_runtime_is_explicit(monkeypatch):
import main
monkeypatch.setattr(main, "_MESH_ONLY", True)
monkeypatch.setattr(main, "_HEADLESS_MESH_NODE_RUNTIME", False)
assert main._infonet_node_runtime_requested() is False
monkeypatch.setattr(main, "_HEADLESS_MESH_NODE_RUNTIME", True)
assert main._infonet_node_runtime_requested() is True
def test_meshnode_scripts_enable_private_hashchain_runtime():
from pathlib import Path
root = Path(__file__).resolve().parents[3]
bat = (root / "meshnode.bat").read_text(encoding="utf-8")
sh = (root / "meshnode.sh").read_text(encoding="utf-8")
for script in (bat, sh):
assert "SHADOWBROKER_MESH_NODE_RUNTIME=true" in script
assert "MESH_INFONET_ALLOW_CLEARNET_SYNC=false" in script
assert "MESH_ARTI_ENABLED=true" in script
assert "MESH_DM_HASHCHAIN_SPOOL_LIMIT=2" in script
assert "gqpbunqbgtkcqilvclm3xrkt3zowjyl3s62kkktvojgvxzizamvbrqid.onion:8000" in script
@@ -0,0 +1,213 @@
import base64
import time
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import ed25519
from services.config import get_settings
from services.mesh import mesh_crypto, mesh_dm_relay, mesh_hashchain, mesh_protocol, mesh_secure_storage
def _keypair():
private_key = ed25519.Ed25519PrivateKey.generate()
public_raw = private_key.public_key().public_bytes(
encoding=serialization.Encoding.Raw,
format=serialization.PublicFormat.Raw,
)
public_key = base64.b64encode(public_raw).decode("utf-8")
node_id = mesh_crypto.derive_node_id(public_key)
return private_key, public_key, node_id
def _payload(recipient_id: str = "recipient-a", msg_id: str = "dm-1") -> dict:
return mesh_protocol.normalize_payload(
"dm_message",
{
"recipient_id": recipient_id,
"delivery_class": "request",
"recipient_token": "",
"ciphertext": base64.b64encode(f"cipher-{msg_id}".encode("utf-8")).decode("ascii"),
"msg_id": msg_id,
"timestamp": int(time.time()),
"format": "mls1",
"transport_lock": "private_strong",
},
)
def _signature(private_key, node_id: str, sequence: int, payload: dict) -> str:
signature_payload = mesh_crypto.build_signature_payload(
event_type="dm_message",
node_id=node_id,
sequence=sequence,
payload=payload,
)
return private_key.sign(signature_payload.encode("utf-8")).hex()
def _fresh_infonet(tmp_path, monkeypatch) -> mesh_hashchain.Infonet:
monkeypatch.setattr(mesh_hashchain, "DATA_DIR", tmp_path)
monkeypatch.setattr(mesh_hashchain, "CHAIN_FILE", tmp_path / "infonet.json")
monkeypatch.setattr(mesh_hashchain, "WAL_FILE", tmp_path / "infonet.wal")
return mesh_hashchain.Infonet()
def _fresh_relay(tmp_path, monkeypatch) -> mesh_dm_relay.DMRelay:
monkeypatch.setattr(mesh_dm_relay, "DATA_DIR", tmp_path)
monkeypatch.setattr(mesh_dm_relay, "RELAY_FILE", tmp_path / "dm_relay.json")
monkeypatch.setattr(mesh_secure_storage, "DATA_DIR", tmp_path)
monkeypatch.setattr(mesh_secure_storage, "MASTER_KEY_FILE", tmp_path / "wormhole_secure_store.key")
get_settings.cache_clear()
return mesh_dm_relay.DMRelay()
def test_private_dm_hashchain_spools_two_ciphertexts_per_recipient_from_distinct_senders(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
senders = [_keypair(), _keypair()]
for idx, (private_key, public_key, node_id) in enumerate(senders, start=1):
payload = _payload(msg_id=f"dm-{idx}")
event = inf.append_private_dm_message(
node_id=node_id,
payload=payload,
signature=_signature(private_key, node_id, 1, payload),
sequence=1,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
timestamp=float(payload["timestamp"]),
)
assert event["event_type"] == "dm_message"
private_key, public_key, node_id = _keypair()
third = _payload(msg_id="dm-3")
try:
inf.append_private_dm_message(
node_id=node_id,
payload=third,
signature=_signature(private_key, node_id, 1, third),
sequence=1,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
timestamp=float(third["timestamp"]),
)
except ValueError as exc:
assert "spool full" in str(exc)
else:
raise AssertionError("third DM spool event was accepted")
for _private_key, _public_key, sender_node_id in senders:
assert inf.sequence_domains[f"{sender_node_id}|dm_message"] == 1
assert inf.validate_chain(verify_signatures=True)[0] is True
def test_private_dm_hashchain_limits_one_active_spool_per_sender_recipient_pair(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
first = _payload(msg_id="dm-1")
inf.append_private_dm_message(
node_id=node_id,
payload=first,
signature=_signature(private_key, node_id, 1, first),
sequence=1,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
timestamp=float(first["timestamp"]),
)
second = _payload(msg_id="dm-2")
try:
inf.append_private_dm_message(
node_id=node_id,
payload=second,
signature=_signature(private_key, node_id, 2, second),
sequence=2,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
timestamp=float(second["timestamp"]),
)
except ValueError as exc:
assert "sender spool full" in str(exc)
else:
raise AssertionError("second DM from same sender to same recipient was accepted")
def test_private_dm_hashchain_rejects_plaintext(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
payload = _payload()
payload["message"] = "plaintext"
try:
inf.append_private_dm_message(
node_id=node_id,
payload=payload,
signature=_signature(private_key, node_id, 1, _payload()),
sequence=1,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
)
except ValueError as exc:
assert "plaintext" in str(exc)
else:
raise AssertionError("private DM append accepted plaintext")
def test_private_dm_hashchain_rejects_non_sealed_ciphertext_shape(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
payload = _payload()
payload["ciphertext"] = "not sealed plaintext"
try:
inf.append_private_dm_message(
node_id=node_id,
payload=payload,
signature=_signature(private_key, node_id, 1, payload),
sequence=1,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
)
except ValueError as exc:
assert "sealed bytes" in str(exc)
else:
raise AssertionError("private DM append accepted non-base64 ciphertext")
def test_hydrate_dm_relay_from_chain_delivers_to_poll_claim(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path / "chain", monkeypatch)
relay = _fresh_relay(tmp_path / "relay", monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", inf)
monkeypatch.setattr(mesh_dm_relay, "dm_relay", relay)
private_key, public_key, node_id = _keypair()
payload = _payload(recipient_id="recipient-a", msg_id="dm-chain-1")
event = inf.append_private_dm_message(
node_id=node_id,
payload=payload,
signature=_signature(private_key, node_id, 1, payload),
sequence=1,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
timestamp=float(payload["timestamp"]),
)
from main import _hydrate_dm_relay_from_chain
assert _hydrate_dm_relay_from_chain([event]) == 1
messages, more = relay.collect_claims(
"recipient-a",
[{"type": "requests", "token": "recipient-request-token"}],
limit=8,
)
assert more is False
assert [message["msg_id"] for message in messages] == ["dm-chain-1"]
assert messages[0]["ciphertext"] == payload["ciphertext"]
@@ -0,0 +1,269 @@
import base64
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import ed25519
from services.mesh import mesh_crypto, mesh_hashchain, mesh_protocol
def _keypair():
private_key = ed25519.Ed25519PrivateKey.generate()
public_raw = private_key.public_key().public_bytes(
encoding=serialization.Encoding.Raw,
format=serialization.PublicFormat.Raw,
)
public_key = base64.b64encode(public_raw).decode("utf-8")
node_id = mesh_crypto.derive_node_id(public_key)
return private_key, public_key, node_id
def _sign(private_key, *, event_type: str, node_id: str, sequence: int, payload: dict) -> str:
signature_payload = mesh_crypto.build_signature_payload(
event_type=event_type,
node_id=node_id,
sequence=sequence,
payload=payload,
)
return private_key.sign(signature_payload.encode("utf-8")).hex()
def _message_payload(text: str) -> dict:
return mesh_protocol.normalize_payload(
"message",
{
"message": text,
"destination": "broadcast",
"channel": "LongFast",
"priority": "normal",
"ephemeral": False,
},
)
def _gate_payload(gate_id: str = "ops-gate", *, epoch: int = 2, plaintext: bool = False) -> dict:
payload = {
"gate": gate_id,
"ciphertext": base64.b64encode(b"encrypted-gate-ciphertext").decode("ascii"),
"nonce": base64.b64encode(b"nonce-value-1234").decode("ascii"),
"sender_ref": "sender-ref-1",
"format": "mls1",
"transport_lock": "private_strong",
}
if epoch > 0:
payload["epoch"] = epoch
if plaintext:
payload["message"] = "this must never land on the chain"
return mesh_protocol.normalize_payload("gate_message", payload) if not plaintext else payload
def _gate_event(
private_key,
public_key: str,
node_id: str,
*,
sequence: int,
prev_hash: str,
payload: dict,
signature_payload: dict | None = None,
) -> dict:
signature = _sign(
private_key,
event_type="gate_message",
node_id=node_id,
sequence=sequence,
payload=signature_payload or payload,
)
return mesh_hashchain.ChainEvent(
prev_hash=prev_hash,
event_type="gate_message",
node_id=node_id,
payload=payload,
timestamp=1234.0 + sequence,
sequence=sequence,
signature=signature,
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
network_id=mesh_protocol.NETWORK_ID,
).to_dict()
def _fresh_infonet(tmp_path, monkeypatch) -> mesh_hashchain.Infonet:
monkeypatch.setattr(mesh_hashchain, "DATA_DIR", tmp_path)
monkeypatch.setattr(mesh_hashchain, "CHAIN_FILE", tmp_path / "infonet.json")
monkeypatch.setattr(mesh_hashchain, "WAL_FILE", tmp_path / "infonet.wal")
return mesh_hashchain.Infonet()
def test_private_gate_fork_uses_gate_sequence_domain_and_signature_variants(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
public_payload = _message_payload("public prefix")
public_event = inf.append(
event_type="message",
node_id=node_id,
payload=public_payload,
sequence=1,
signature=_sign(
private_key,
event_type="message",
node_id=node_id,
sequence=1,
payload=public_payload,
),
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
)
gate_payload = _gate_payload(epoch=3)
signature_payload = dict(gate_payload)
signature_payload.pop("epoch", None)
gate_event = _gate_event(
private_key,
public_key,
node_id,
sequence=1,
prev_hash=public_event["event_id"],
payload=gate_payload,
signature_payload=signature_payload,
)
ok, reason = inf.apply_fork([gate_event], gate_event["event_id"], proof_count=2, quorum=2)
assert ok is True, reason
assert inf.events[-1]["event_type"] == "gate_message"
assert inf.node_sequences[node_id] == 1
assert inf.sequence_domains[f"{node_id}|gate_message"] == 1
assert inf.validate_chain(verify_signatures=True)[0] is True
def test_private_gate_fork_rejects_plaintext_payload(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
public_payload = _message_payload("public prefix")
public_event = inf.append(
event_type="message",
node_id=node_id,
payload=public_payload,
sequence=1,
signature=_sign(
private_key,
event_type="message",
node_id=node_id,
sequence=1,
payload=public_payload,
),
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
)
plaintext_payload = _gate_payload(plaintext=True)
gate_event = _gate_event(
private_key,
public_key,
node_id,
sequence=1,
prev_hash=public_event["event_id"],
payload=plaintext_payload,
)
ok, reason = inf.apply_fork([gate_event], gate_event["event_id"], proof_count=2, quorum=2)
assert ok is False
assert "normalized" in reason or "plaintext" in reason
assert len(inf.events) == 1
assert "gate_message" not in inf.get_info()["event_types"]
def test_append_private_gate_message_rejects_plaintext_before_normalizing(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
payload = _gate_payload()
payload["message"] = "plaintext should not be silently dropped"
try:
inf.append_private_gate_message(
node_id=node_id,
payload=payload,
sequence=1,
signature=_sign(
private_key,
event_type="gate_message",
node_id=node_id,
sequence=1,
payload=_gate_payload(),
),
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
)
except ValueError as exc:
assert "plaintext" in str(exc)
else:
raise AssertionError("private gate append accepted plaintext")
assert inf.events == []
def test_append_private_gate_message_requires_private_strong_transport_lock(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
payload = _gate_payload()
payload.pop("transport_lock", None)
try:
inf.append_private_gate_message(
node_id=node_id,
payload=payload,
sequence=1,
signature=_sign(
private_key,
event_type="gate_message",
node_id=node_id,
sequence=1,
payload=_gate_payload(),
),
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
)
except ValueError as exc:
assert "private_strong" in str(exc)
else:
raise AssertionError("private gate append accepted missing transport_lock")
assert inf.events == []
def test_append_private_gate_message_rejects_non_sealed_ciphertext_shape(tmp_path, monkeypatch):
inf = _fresh_infonet(tmp_path, monkeypatch)
private_key, public_key, node_id = _keypair()
payload = _gate_payload()
payload["ciphertext"] = "not sealed plaintext"
try:
inf.append_private_gate_message(
node_id=node_id,
payload=payload,
sequence=1,
signature=_sign(
private_key,
event_type="gate_message",
node_id=node_id,
sequence=1,
payload=payload,
),
public_key=public_key,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
)
except ValueError as exc:
assert "sealed bytes" in str(exc)
else:
raise AssertionError("private gate append accepted non-base64 ciphertext")
assert inf.events == []
@@ -1,14 +1,12 @@
"""S14B Public Sync Gate Event Filter.
"""S14B private sync gate event policy.
Tests:
- GET /api/mesh/infonet/sync excludes gate_message when local infonet contains legacy gate_message plus public events
- POST /api/mesh/infonet/sync excludes gate_message under the same condition
- Both main app and router-served paths are covered
- Non-gate public redactions still hold (vote gate label stripped, key_rotate identity stripped)
- Do not overclaim that gate_message is removed from historical infonet storage or ingest
Private Infonet sync carries encrypted gate_message ledger events. If a node
is configured to allow clearnet-compatible sync, those gate events are filtered
out of the sync response.
"""
import asyncio
import base64
import json
from starlette.requests import Request
@@ -17,9 +15,6 @@ import main
from services.mesh import mesh_hashchain
# ── Helpers ──────────────────────────────────────────────────────────────
def _message_event() -> dict:
return {
"event_id": "msg-1",
@@ -83,6 +78,7 @@ def _gate_message_event() -> dict:
"nonce": "nonce-1",
"sender_ref": "sender-ref-1",
"format": "mls1",
"transport_lock": "private_strong",
},
"timestamp": 103.0,
"sequence": 4,
@@ -93,9 +89,31 @@ def _gate_message_event() -> dict:
}
class _FakeInfonet:
"""Minimal fake infonet with a gate_message among public events."""
def _dm_message_event() -> dict:
return {
"event_id": "dm-1",
"event_type": "dm_message",
"node_id": "!node-5",
"payload": {
"recipient_id": "recipient-a",
"delivery_class": "request",
"recipient_token": "",
"ciphertext": base64.b64encode(b"sealed-dm-ciphertext").decode("ascii"),
"msg_id": "dm-1",
"timestamp": 104,
"format": "mls1",
"transport_lock": "private_strong",
},
"timestamp": 104.0,
"sequence": 5,
"signature": "sig",
"public_key": "pub",
"public_key_algo": "Ed25519",
"protocol_version": "infonet/2",
}
class _FakeInfonet:
def __init__(self):
self.head_hash = "head-1"
self.events = [
@@ -113,12 +131,10 @@ class _FakeInfonet:
return int(getattr(limit, "default", 100) or 100)
def get_events_after(self, after_hash: str, limit=100):
resolved = self._limit_value(limit)
return [dict(e) for e in self.events[:resolved]]
return [dict(e) for e in self.events[: self._limit_value(limit)]]
def get_events_after_locator(self, locator: list[str], limit=100):
resolved = self._limit_value(limit)
return self.head_hash, 0, [dict(e) for e in self.events[:resolved]]
return self.head_hash, 0, [dict(e) for e in self.events[: self._limit_value(limit)]]
def get_merkle_proofs(self, start_index: int, count: int):
return {"root": "merkle-root", "total": len(self.events), "start": start_index, "proofs": []}
@@ -127,7 +143,7 @@ class _FakeInfonet:
return "merkle-root"
def _json_request(path: str, body: dict) -> Request:
def _json_request(path: str, body: dict, *, client_host: str = "127.0.0.1", headers: dict[str, str] | None = None) -> Request:
payload = json.dumps(body).encode("utf-8")
sent = {"value": False}
@@ -137,11 +153,14 @@ def _json_request(path: str, body: dict) -> Request:
sent["value"] = True
return {"type": "http.request", "body": payload, "more_body": False}
raw_headers = [(b"content-type", b"application/json")]
for key, value in dict(headers or {}).items():
raw_headers.append((key.lower().encode("ascii"), str(value).encode("ascii")))
return Request(
{
"type": "http",
"headers": [(b"content-type", b"application/json")],
"client": ("test", 12345),
"headers": raw_headers,
"client": (client_host, 12345),
"method": "POST",
"path": path,
},
@@ -149,20 +168,15 @@ def _json_request(path: str, body: dict) -> Request:
)
def _get_request(path: str) -> Request:
sent = {"value": False}
def _get_request(path: str, *, client_host: str = "127.0.0.1", headers: dict[str, str] | None = None) -> Request:
async def receive():
if sent["value"]:
return {"type": "http.request", "body": b"", "more_body": False}
sent["value"] = True
return {"type": "http.request", "body": b"", "more_body": False}
return Request(
{
"type": "http",
"headers": [],
"client": ("test", 12345),
"headers": [(key.lower().encode("ascii"), str(value).encode("ascii")) for key, value in dict(headers or {}).items()],
"client": (client_host, 12345),
"method": "GET",
"path": path,
},
@@ -170,120 +184,166 @@ def _get_request(path: str) -> Request:
)
# ── GET sync excludes gate_message (main app) ──────────────────────────
def _force_private_sync(monkeypatch):
monkeypatch.setattr(main, "_infonet_private_transport_required", lambda: True)
monkeypatch.setattr(main, "_request_appears_private_infonet_transport", lambda request: True)
def test_get_sync_excludes_gate_message(client, monkeypatch):
"""GET /api/mesh/infonet/sync must not return gate_message events."""
def _force_private_policy_only(monkeypatch):
monkeypatch.setattr(main, "_infonet_private_transport_required", lambda: True)
def _force_clearnet_sync(monkeypatch):
monkeypatch.setattr(main, "_infonet_private_transport_required", lambda: False)
def _event_types(events: list[dict]) -> list[str]:
return [str(e.get("event_type", "")) for e in events]
def test_private_sync_redacts_private_events_from_exposed_clearnet_request(monkeypatch):
_force_private_policy_only(monkeypatch)
request = _get_request("/api/mesh/infonet/sync", client_host="203.0.113.10")
events = main._infonet_sync_response_events(
[_message_event(), _gate_message_event(), _dm_message_event()],
request=request,
)
assert _event_types(events) == ["message"]
def test_private_sync_includes_private_events_for_loopback_request(monkeypatch):
_force_private_policy_only(monkeypatch)
request = _get_request("/api/mesh/infonet/sync", client_host="127.0.0.1")
events = main._infonet_sync_response_events(
[_message_event(), _gate_message_event(), _dm_message_event()],
request=request,
)
assert _event_types(events) == ["message", "gate_message", "dm_message"]
def test_private_sync_redacts_private_events_when_forwarded_for_is_clearnet(monkeypatch):
_force_private_policy_only(monkeypatch)
request = _get_request(
"/api/mesh/infonet/sync",
client_host="127.0.0.1",
headers={"x-forwarded-for": "198.51.100.44"},
)
events = main._infonet_sync_response_events(
[_message_event(), _gate_message_event(), _dm_message_event()],
request=request,
)
assert _event_types(events) == ["message"]
def test_get_sync_includes_gate_message_on_private_transport(client, monkeypatch):
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
resp = client.get("/api/mesh/infonet/sync")
data = resp.json()
event_types = [e["event_type"] for e in data["events"]]
assert "gate_message" not in event_types
assert "message" in event_types
assert "vote" in event_types
assert "key_rotate" in event_types
data = client.get("/api/mesh/infonet/sync").json()
assert "gate_message" in _event_types(data["events"])
assert data["count"] == 4
def test_get_sync_count_excludes_gate_message(client, monkeypatch):
"""GET sync count field must reflect filtered events (gate_message excluded)."""
def test_post_sync_includes_gate_message_on_private_transport(monkeypatch):
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
resp = client.get("/api/mesh/infonet/sync")
data = resp.json()
assert data["count"] == 3 # message, vote, key_rotate — not gate_message
# ── POST sync excludes gate_message (main app) ─────────────────────────
def test_post_sync_excludes_gate_message(monkeypatch):
"""POST /api/mesh/infonet/sync must not return gate_message events."""
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
result = asyncio.run(
main.infonet_sync_post(
_json_request("/api/mesh/infonet/sync", {"locator": ["head-1"]})
)
)
event_types = [e["event_type"] for e in result["events"]]
assert "gate_message" not in event_types
assert "message" in event_types
assert "vote" in event_types
assert "key_rotate" in event_types
assert "gate_message" in _event_types(result["events"])
assert result["count"] == 4
def test_post_sync_count_excludes_gate_message(monkeypatch):
"""POST sync count field must reflect filtered events."""
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
result = asyncio.run(
main.infonet_sync_post(
_json_request("/api/mesh/infonet/sync", {"locator": ["head-1"]})
)
)
assert result["count"] == 3
# ── Router-served paths ────────────────────────────────────────────────
def test_router_get_sync_excludes_gate_message(monkeypatch):
"""Router GET /api/mesh/infonet/sync must not return gate_message."""
def test_router_get_sync_includes_gate_message_on_private_transport(monkeypatch):
from routers.mesh_public import infonet_sync
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
result = asyncio.run(infonet_sync(_get_request("/api/mesh/infonet/sync")))
event_types = [e["event_type"] for e in result["events"]]
assert "gate_message" not in event_types
assert "message" in event_types
assert data_count_matches(result)
assert "gate_message" in _event_types(result["events"])
assert result["count"] == len(result["events"])
def test_router_post_sync_excludes_gate_message(monkeypatch):
"""Router POST /api/mesh/infonet/sync must not return gate_message."""
def test_router_post_sync_includes_gate_message_on_private_transport(monkeypatch):
from routers.mesh_public import infonet_sync_post
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
result = asyncio.run(
infonet_sync_post(
_json_request("/api/mesh/infonet/sync", {"locator": ["head-1"]})
)
)
event_types = [e["event_type"] for e in result["events"]]
assert "gate_message" not in event_types
assert "message" in event_types
assert data_count_matches(result)
assert "gate_message" in _event_types(result["events"])
assert result["count"] == len(result["events"])
def data_count_matches(result: dict) -> bool:
return result["count"] == len(result["events"])
def test_get_sync_excludes_gate_message_when_clearnet_sync_allowed(client, monkeypatch):
_force_clearnet_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
data = client.get("/api/mesh/infonet/sync").json()
assert "gate_message" not in _event_types(data["events"])
assert data["count"] == 3
# ── Non-gate redactions still hold ─────────────────────────────────────
def test_post_sync_excludes_gate_message_when_clearnet_sync_allowed(monkeypatch):
_force_clearnet_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
result = asyncio.run(
main.infonet_sync_post(
_json_request("/api/mesh/infonet/sync", {"locator": ["head-1"]})
)
)
assert "gate_message" not in _event_types(result["events"])
assert result["count"] == 3
def test_get_sync_still_redacts_vote_gate_label(client, monkeypatch):
"""Public sync must still strip gate label from vote payload."""
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
resp = client.get("/api/mesh/infonet/sync")
events = resp.json()["events"]
events = client.get("/api/mesh/infonet/sync").json()["events"]
vote = next(e for e in events if e["event_type"] == "vote")
assert "gate" not in vote.get("payload", {})
def test_get_sync_still_redacts_key_rotate_identity(client, monkeypatch):
"""Public sync must still strip old identity fields from key_rotate payload."""
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
resp = client.get("/api/mesh/infonet/sync")
events = resp.json()["events"]
events = client.get("/api/mesh/infonet/sync").json()["events"]
rotate = next(e for e in events if e["event_type"] == "key_rotate")
payload = rotate.get("payload", {})
assert "old_node_id" not in payload
assert "old_public_key" not in payload
assert "old_signature" not in payload
def test_post_sync_still_redacts_vote_and_rotate(monkeypatch):
"""POST sync must still apply standard public redactions to non-gate events."""
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _FakeInfonet(), raising=False)
result = asyncio.run(
main.infonet_sync_post(
_json_request("/api/mesh/infonet/sync", {"locator": ["head-1"]})
@@ -291,24 +351,17 @@ def test_post_sync_still_redacts_vote_and_rotate(monkeypatch):
)
vote = next(e for e in result["events"] if e["event_type"] == "vote")
rotate = next(e for e in result["events"] if e["event_type"] == "key_rotate")
assert "gate" not in vote.get("payload", {})
assert "old_node_id" not in rotate.get("payload", {})
# ── No overclaim ───────────────────────────────────────────────────────
def test_gate_message_still_in_fake_infonet_storage():
"""The filter does NOT remove gate_message from underlying storage.
This test documents that the infonet still holds gate_message events;
only the public sync response surface filters them out."""
fake = _FakeInfonet()
all_types = [e["event_type"] for e in fake.events]
assert "gate_message" in all_types
assert "gate_message" in _event_types(fake.events)
def test_sync_with_only_gate_messages_returns_empty(client, monkeypatch):
"""If infonet contains only gate_message events, sync returns empty list."""
def test_private_sync_with_only_gate_messages_returns_gate_events(client, monkeypatch):
class _GateOnlyInfonet:
head_hash = "head-1"
events = [_gate_message_event()]
@@ -325,8 +378,10 @@ def test_sync_with_only_gate_messages_returns_empty(client, monkeypatch):
def get_merkle_root(self):
return "r"
_force_private_sync(monkeypatch)
monkeypatch.setattr(mesh_hashchain, "infonet", _GateOnlyInfonet(), raising=False)
resp = client.get("/api/mesh/infonet/sync")
data = resp.json()
assert data["events"] == []
assert data["count"] == 0
data = client.get("/api/mesh/infonet/sync").json()
assert _event_types(data["events"]) == ["gate_message"]
assert data["count"] == 1
@@ -66,6 +66,20 @@ def _make_gate_message_event(priv, pub_b64, node_id, sequence, prev_hash, gate_i
return evt.to_dict()
def _make_gate_payload(gate_id="test-gate") -> dict:
return mesh_protocol.normalize_payload(
"gate_message",
{
"gate": gate_id,
"ciphertext": base64.b64encode(b"encrypted-data").decode(),
"nonce": base64.b64encode(b"nonce-value-1234").decode(),
"sender_ref": "sender-abc",
"format": "mls1",
"transport_lock": "private_strong",
},
)
@pytest.fixture()
def fresh_env(tmp_path, monkeypatch):
"""Set up isolated infonet + gate_store, return (infonet, gate_store)."""
@@ -89,6 +103,74 @@ def fresh_env(tmp_path, monkeypatch):
# ── Rejected gate_message must NOT hydrate gate_store ─────────────────────
def test_append_private_gate_message_uses_hashchain_gate_sequence(fresh_env):
"""Local gate posts become private hashchain events in a gate sequence domain."""
inf, _gs = fresh_env
priv, pub_b64, node_id = _make_keypair()
sequence = 1
payload = _make_gate_payload("test-gate")
sig_payload = mesh_crypto.build_signature_payload(
event_type="gate_message",
node_id=node_id,
sequence=sequence,
payload=payload,
)
signature = priv.sign(sig_payload.encode("utf-8")).hex()
event = inf.append_private_gate_message(
node_id=node_id,
payload=payload,
signature=signature,
sequence=sequence,
public_key=pub_b64,
public_key_algo="Ed25519",
protocol_version=mesh_protocol.PROTOCOL_VERSION,
timestamp=123.0,
)
assert event["event_type"] == "gate_message"
assert inf.head_hash == event["event_id"]
assert inf.sequence_domains[f"{node_id}|gate_message"] == sequence
assert inf.node_sequences.get(node_id, 0) == 0
assert event["payload"]["transport_lock"] == "private_strong"
def test_ingest_accepts_new_suffix_after_duplicate_prefix(fresh_env):
"""Peer-push batches may include events the receiver already has."""
inf, _gs = fresh_env
priv, pub_b64, node_id = _make_keypair()
evt1 = _make_gate_message_event(
priv,
pub_b64,
node_id,
sequence=1,
prev_hash=mesh_hashchain.GENESIS_HASH,
)
assert inf.ingest_events([evt1])["accepted"] == 1
evt2 = _make_gate_message_event(
priv,
pub_b64,
node_id,
sequence=2,
prev_hash=evt1["event_id"],
)
assert inf.ingest_events([evt2])["accepted"] == 1
evt3 = _make_gate_message_event(
priv,
pub_b64,
node_id,
sequence=3,
prev_hash=evt2["event_id"],
)
result = inf.ingest_events([evt1, evt2, evt3])
assert result["duplicates"] == 2
assert result["accepted"] == 1
assert result["rejected"] == []
assert inf.head_hash == evt3["event_id"]
def test_rejected_event_does_not_hydrate_gate_store(fresh_env):
"""A gate_message rejected by ingest must not appear in gate_store."""
inf, gs = fresh_env
+4 -2
View File
@@ -22,9 +22,11 @@ class TestHealthEndpoint:
class TestLiveDataEndpoints:
def test_live_data_returns_200(self, client):
def test_live_data_returns_200_or_304(self, client):
r = client.get("/api/live-data")
assert r.status_code == 200
assert r.status_code in (200, 304)
if r.status_code == 200:
assert r.headers.get("etag")
def test_live_data_fast_returns_200_or_304(self, client):
r = client.get("/api/live-data/fast")
+50
View File
@@ -0,0 +1,50 @@
from starlette.requests import Request
import auth
async def _empty_receive():
return {"type": "http.request", "body": b"", "more_body": False}
def _request(path: str, *, host: str = "example.com/health?x=", client_host: str = "203.0.113.10") -> Request:
return Request(
{
"type": "http",
"method": "GET",
"scheme": "http",
"server": ("127.0.0.1", 8000),
"client": (client_host, 12345),
"path": path,
"raw_path": path.encode("ascii"),
"query_string": b"",
"headers": [(b"host", host.encode("ascii"))],
},
receive=_empty_receive,
)
def test_scope_auth_uses_asgi_path_not_host_derived_url_path():
request = _request("/api/mesh/gate/alpha/message")
assert auth._request_scope_path(request) == "/api/mesh/gate/alpha/message"
assert auth._required_scope_for_request(request) == "mesh"
def test_debug_test_request_does_not_trust_host_header(monkeypatch):
monkeypatch.setattr(auth, "_debug_mode_enabled", lambda: True)
request = _request("/api/admin", host="test/api/public?x=")
assert auth._is_debug_test_request(request) is False
def test_peer_hmac_identity_requires_explicit_peer_url_header():
request = _request("/api/mesh/infonet/push", host="https://peer.example/api/public?x=")
assert auth._peer_hmac_url_from_request(request) == ""
request = _request("/api/mesh/infonet/push")
request.scope["headers"].append((b"x-peer-url", b"https://peer.example/"))
assert auth._peer_hmac_url_from_request(request) == "https://peer.example"

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