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>
This commit is contained in:
BigBodyCobain
2026-06-04 09:01:21 -06:00
parent 3ac8442e4b
commit 80a01275ff
12 changed files with 536 additions and 36 deletions
+9
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@@ -62,7 +62,16 @@ 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
+62
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
@@ -34,6 +35,10 @@ 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()
@@ -422,6 +427,63 @@ def _run_liveuamap_refresh() -> None:
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):
+22 -1
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@@ -19,6 +19,7 @@ import concurrent.futures
import json
import math
import os
import random
import threading
import time
from datetime import datetime, timedelta
@@ -405,7 +406,6 @@ 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,
@@ -747,6 +747,27 @@ def start_scheduler():
misfire_grace_time=120,
)
# 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"),
@@ -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(
@@ -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")
),
},
}
+44 -22
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@@ -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
@@ -0,0 +1,55 @@
"""Prediction market fetch timing uses jitter to reduce poll fingerprinting."""
from unittest.mock import MagicMock, patch
import pytest
from services.fetchers import prediction_markets as pm
@pytest.fixture(autouse=True)
def clear_market_cache():
pm._market_cache.clear()
yield
pm._market_cache.clear()
def test_pre_fetch_jitter_sleeps_when_configured(monkeypatch):
monkeypatch.setattr(pm, "_PRE_FETCH_JITTER_S", 10.0)
sleeps: list[float] = []
monkeypatch.setattr(pm.time, "sleep", lambda s: sleeps.append(s))
monkeypatch.setattr(pm.random, "uniform", lambda _a, _b: 4.5)
pm._apply_pre_fetch_jitter()
assert sleeps == [4.5]
def test_fetch_raw_applies_provider_gap(monkeypatch):
monkeypatch.setenv("PREDICTION_MARKETS_ENABLED", "true")
monkeypatch.setattr(pm, "_apply_pre_fetch_jitter", lambda: None)
gap_calls: list[int] = []
def _track_gap():
gap_calls.append(1)
monkeypatch.setattr(pm, "_apply_provider_gap_jitter", _track_gap)
monkeypatch.setattr(pm, "_fetch_polymarket_events", lambda: [])
monkeypatch.setattr(pm, "_fetch_kalshi_events", lambda: [])
monkeypatch.setattr(pm, "_merge_markets", lambda _p, _k: [])
pm.fetch_prediction_markets_raw()
assert gap_calls == [1]
def test_pace_provider_adds_per_page_jitter(monkeypatch):
monkeypatch.setattr(pm, "_POLYMARKET_PAGE_DELAY_JITTER_S", 1.0)
monkeypatch.setattr(pm, "_provider_last_request_at", {"polymarket": pm.time.monotonic()})
monkeypatch.setattr(pm.random, "uniform", lambda _a, _b: 0.5)
sleeps: list[float] = []
monkeypatch.setattr(pm.time, "sleep", lambda s: sleeps.append(s))
pm._pace_provider("polymarket", 0.02)
assert sleeps == [pytest.approx(0.52)]
@@ -0,0 +1,24 @@
"""UI opt-in for prediction markets (Global Threat Intercept)."""
from services import prediction_markets_settings as pm_settings
from services.fetchers import prediction_markets
def test_ui_opt_in_enables_fetch(monkeypatch, tmp_path):
opt_file = tmp_path / "prediction_markets_opt_in.json"
monkeypatch.setattr(pm_settings, "_OPT_IN_FILE", opt_file)
monkeypatch.delenv("PREDICTION_MARKETS_ENABLED", raising=False)
assert pm_settings.prediction_markets_fetch_enabled() is False
pm_settings.set_prediction_markets_ui_opt_in(True)
assert pm_settings.prediction_markets_fetch_enabled() is True
assert prediction_markets.prediction_markets_fetch_enabled() is True
def test_env_force_on_without_ui_file(monkeypatch, tmp_path):
opt_file = tmp_path / "prediction_markets_opt_in.json"
monkeypatch.setattr(pm_settings, "_OPT_IN_FILE", opt_file)
monkeypatch.setenv("PREDICTION_MARKETS_ENABLED", "true")
assert pm_settings.prediction_markets_fetch_enabled() is True
@@ -0,0 +1,74 @@
"""Right-click dossier returns up to 3 signed Sentinel-2 scenes."""
from unittest.mock import MagicMock, patch
import pytest
from services import sentinel_search as ss
@pytest.fixture(autouse=True)
def clear_sentinel_cache():
ss._sentinel_cache.clear()
yield
ss._sentinel_cache.clear()
def _stac_feature(scene_id: str, dt: str, cloud: float) -> dict:
href = f"https://sentinel2euwest.blob.core.windows.net/sentinel2-l2a/{scene_id}.tif"
return {
"id": scene_id,
"bbox": [0, 0, 1, 1],
"properties": {
"datetime": dt,
"eo:cloud_cover": cloud,
"platform": "Sentinel-2A",
},
"assets": {
"rendered_preview": {"href": href},
"thumbnail": {"href": href},
},
}
@patch("services.sentinel_search.requests.get")
@patch("services.sentinel_search.requests.post")
def test_search_returns_three_scenes(mock_post, mock_get):
mock_post.return_value = MagicMock(
ok=True,
raise_for_status=MagicMock(),
json=lambda: {
"features": [
_stac_feature("s1", "2026-05-28T10:00:00Z", 5.0),
_stac_feature("s2", "2026-05-20T10:00:00Z", 12.0),
_stac_feature("s3", "2026-05-10T10:00:00Z", 18.0),
],
},
)
mock_get.return_value = MagicMock(
ok=True,
raise_for_status=MagicMock(),
json=lambda: {"token": "sig=test"},
)
result = ss.search_sentinel2_scene(29.0, 51.0)
assert result["found"] is True
assert result["scene_id"] == "s1"
assert len(result["scenes"]) == 3
assert result["scenes"][1]["scene_id"] == "s2"
assert "sig=test" in (result["scenes"][0]["fullres_url"] or "")
@patch("services.sentinel_search.requests.post")
def test_search_esri_fallback_has_no_scenes(mock_post):
mock_post.return_value = MagicMock(
ok=True,
raise_for_status=MagicMock(),
json=lambda: {"features": []},
)
result = ss.search_sentinel2_scene(29.0, 51.0)
assert result["fallback"] is True
assert "scenes" not in result
@@ -45,8 +45,10 @@ def test_fimi_falsy_value_does_not_call_upstream(monkeypatch):
def test_prediction_markets_disabled_by_default(monkeypatch):
from services.fetchers import _store, prediction_markets
from services import prediction_markets_settings as pm_settings
monkeypatch.delenv("PREDICTION_MARKETS_ENABLED", raising=False)
monkeypatch.setattr(pm_settings, "get_prediction_markets_ui_opt_in", lambda: False)
monkeypatch.setitem(_store.latest_data, "prediction_markets", [{"id": "old"}])
monkeypatch.setattr(
prediction_markets, "fetch_prediction_markets_raw", _explode
+70 -6
View File
@@ -2,7 +2,9 @@
import { useState, useMemo } from 'react';
import { motion, AnimatePresence } from 'framer-motion';
import { AlertTriangle, Clock, Minus, Plus, ExternalLink, Brain, Loader2 } from 'lucide-react';
import { AlertTriangle, Clock, Minus, Plus, ExternalLink, Brain, Loader2, TrendingUp } from 'lucide-react';
import ConfirmDialog from '@/components/ui/ConfirmDialog';
import { usePredictionMarketsOptIn } from '@/hooks/usePredictionMarketsOptIn';
import React, { useEffect, useRef, useCallback } from 'react';
import WikiImage from '@/components/WikiImage';
import { fetchWikipediaSummary } from '@/lib/wikimediaClient';
@@ -332,6 +334,9 @@ function NewsFeedInner({ selectedEntity, regionDossier, regionDossierLoading, on
const [aiSummaryOpen, setAiSummaryOpen] = useState(false);
const [aiSummary, setAiSummary] = useState<any>(null);
const [aiSummaryLoading, setAiSummaryLoading] = useState(false);
const [pmConsentOpen, setPmConsentOpen] = useState(false);
const { status: pmStatus, setOptIn: setPmOptIn } = usePredictionMarketsOptIn();
const marketsCorrelationEnabled = pmStatus?.enabled ?? false;
const itemRefs = useRef<(HTMLDivElement | null)[]>([]);
// Intentionally omitting map click triggers for expanding
@@ -1357,7 +1362,7 @@ function NewsFeedInner({ selectedEntity, regionDossier, regionDossierLoading, on
</span>
</div>
)}
{item.prediction_odds && item.prediction_odds.consensus_pct != null && (
{marketsCorrelationEnabled && item.prediction_odds && item.prediction_odds.consensus_pct != null && (
<div className="border-b border-[var(--border-primary)] pb-2">
<span className="text-[var(--text-muted)] text-[10px] block mb-1.5">MARKET CORRELATION</span>
<div className="p-2 bg-purple-950/30 border border-purple-500/30 rounded-sm">
@@ -1430,7 +1435,37 @@ function NewsFeedInner({ selectedEntity, regionDossier, regionDossierLoading, on
/* CCTV is now handled by the fullscreen OPTIC INTERCEPT modal in MaplibreViewer */
if (selectedEntity?.type === 'cctv') return null;
const pmJitter = pmStatus?.jitter;
const pmConsentMessage =
'Enabling prediction markets lets this node contact Polymarket and Kalshi over clearnet from your server IP (not through the wormhole). ' +
'Matching headlines may show a purple MKT strip with consensus odds. ' +
(pmJitter
? `Poll timing is jittered (~${pmJitter.scheduler_interval_minutes} min base + up to ${pmJitter.scheduler_jitter_seconds}s) to reduce obvious patterns. `
: 'Poll timing is jittered to reduce obvious patterns. ') +
'Wormhole/Tor still only covers private mesh traffic. Turn off anytime with MKT OFF.';
return (
<>
<ConfirmDialog
open={pmConsentOpen}
title="Enable prediction market correlation?"
message={pmConsentMessage}
confirmLabel="Enable MKT"
cancelLabel="Cancel"
danger={false}
onCancel={() => setPmConsentOpen(false)}
onConfirm={() => {
void (async () => {
try {
await setPmOptIn(true);
} catch (e) {
console.warn('Prediction markets opt-in failed:', e);
} finally {
setPmConsentOpen(false);
}
})();
}}
/>
<motion.div
initial={{ y: 50, opacity: 0 }}
animate={{ y: 0, opacity: 1 }}
@@ -1485,10 +1520,38 @@ function NewsFeedInner({ selectedEntity, regionDossier, regionDossierLoading, on
initial={{ height: 0, opacity: 0 }}
animate={{ height: "auto", opacity: 1 }}
exit={{ height: 0, opacity: 0 }}
className="text-[10px] text-cyan-500/80 mt-1 flex items-center justify-between font-bold relative z-10"
className="text-[10px] text-cyan-500/80 mt-1 flex items-center justify-between font-bold relative z-10 gap-2"
>
<span className="px-1 border border-cyan-500/30">SYS.STATUS: MONITORING</span>
<span className="flex items-center gap-1"><Clock size={10} /> {data?.last_updated ? formatTime(data.last_updated) : "SCANNING"}</span>
<div className="flex items-center gap-1.5 min-w-0">
<span className="px-1 border border-cyan-500/30 shrink-0">SYS.STATUS: MONITORING</span>
<button
type="button"
onClick={(e) => {
e.stopPropagation();
if (marketsCorrelationEnabled) {
void setPmOptIn(false).catch((err) => {
console.warn('Prediction markets opt-out failed:', err);
});
} else {
setPmConsentOpen(true);
}
}}
className={`shrink-0 flex items-center gap-1 px-1.5 py-0.5 border rounded-sm transition-colors ${
marketsCorrelationEnabled
? 'border-purple-500/50 bg-purple-950/40 text-purple-300'
: 'border-cyan-800/40 bg-black/40 text-cyan-700 hover:text-purple-300 hover:border-purple-600/40'
}`}
title={
marketsCorrelationEnabled
? 'Prediction market correlation on intercept stories (clearnet Polymarket/Kalshi)'
: 'Enable prediction market correlation on intercept stories'
}
>
<TrendingUp size={10} />
MKT {marketsCorrelationEnabled ? 'ON' : 'OFF'}
</button>
</div>
<span className="flex items-center gap-1 shrink-0"><Clock size={10} /> {data?.last_updated ? formatTime(data.last_updated) : "SCANNING"}</span>
</motion.div>
)}
</AnimatePresence>
@@ -1841,7 +1904,7 @@ function NewsFeedInner({ selectedEntity, regionDossier, regionDossierLoading, on
<span className="text-cyan-300 opacity-90">{item.machine_assessment}</span>
</div>
)}
{item.prediction_odds && item.prediction_odds.consensus_pct != null && (
{marketsCorrelationEnabled && item.prediction_odds && item.prediction_odds.consensus_pct != null && (
<div className="mt-1 px-1.5 py-1 bg-purple-950/30 border border-purple-500/30 rounded-sm text-[11px] font-mono flex items-center gap-1.5">
<span className="text-purple-400 font-bold">MKT</span>
<span className="text-purple-300 truncate flex-1" title={item.prediction_odds.title}>{item.prediction_odds.title}</span>
@@ -1933,6 +1996,7 @@ function NewsFeedInner({ selectedEntity, regionDossier, regionDossierLoading, on
</motion.div>
</>
);
}
@@ -0,0 +1,54 @@
'use client';
import { useCallback, useEffect, useState } from 'react';
import { API_BASE } from '@/lib/api';
export type PredictionMarketsStatus = {
enabled: boolean;
ui_opted_in: boolean;
env_override: 'on' | 'off' | null;
jitter?: {
scheduler_interval_minutes: number;
scheduler_jitter_seconds: number;
pre_fetch_jitter_seconds: number;
};
};
export function usePredictionMarketsOptIn(enabled = true) {
const [status, setStatus] = useState<PredictionMarketsStatus | null>(null);
const refreshStatus = useCallback(async () => {
try {
const res = await fetch(`${API_BASE}/api/prediction-markets/status`);
if (!res.ok) return;
const body = (await res.json()) as PredictionMarketsStatus;
setStatus(body);
} catch {
// Backend may still be starting.
}
}, []);
useEffect(() => {
if (!enabled) return;
void refreshStatus();
}, [enabled, refreshStatus]);
const setOptIn = useCallback(
async (optedIn: boolean) => {
const res = await fetch(`${API_BASE}/api/prediction-markets/opt-in`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ opted_in: optedIn }),
});
if (!res.ok) {
throw new Error(`Prediction markets opt-in failed (${res.status})`);
}
const body = (await res.json()) as PredictionMarketsStatus;
setStatus(body);
return body;
},
[],
);
return { status, refreshStatus, setOptIn };
}