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af836b0414 Merge pull request 'feat(conflicts): GET /api/conflicts conflict-zone catalog + news/GDELT counts' (#33) from osint-dashboard/t_e66223e3-osint-get-api-conflicts-catalog-news-cou into master
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Reviewed-on: #33
2026-08-31 21:52:02 -04:00
Sirius DevOps
a82b62a011 feat(conflicts): GET /api/conflicts catalog + news/GDELT event counts
Curated static catalogue of 13 conflict theatres (Ukraine, Gaza, Sudan,
Myanmar, DRC, Yemen, Syria, Lebanon, Sahel, Somalia, Red Sea, Taiwan
Strait, Korean DMZ) with war|high|elevated severity and short factual
descriptions. GET /api/conflicts returns { zones: [{id,label,severity,
lat,lon,description,eventCount,lastUpdated}], timestamp } where
eventCount rolls up pre-existing geocoded news/GDELT//api/news/map rows
inside each zone bbox (0 when the tables are empty). Adds the conflicts
entry to overlay_catalog(). No upstream scraping, no jittered coords.
2026-08-31 21:30:23 -04:00
5 changed files with 381 additions and 1 deletions

168
app/conflicts.py Normal file
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@ -0,0 +1,168 @@
"""Curated OSINT conflict-zone catalog + point-in-bbox event counting.
A static, human-curated list of active conflict theatres (war / high /
elevated). Purely descriptive this is a catalog, not a live feed and not a
scrape of LiveUAMap or any other source. Severity and descriptions are
editorial judgement kept short and factual.
Each zone carries an internal ``bbox`` (``min_lat, min_lon, max_lat, max_lon``)
used only to count pre-existing geocoded news/GDELT/``/api/news/map`` rows that
fall inside it. The bbox is not part of the API response; callers get the
``eventCount`` roll-up instead.
Never call an upstream API from here event counts come from rows already in
the local database (``events`` with geocoords + ``news_items`` map pins).
"""
from __future__ import annotations
from datetime import datetime
# id → zone. ``lat``/``lon`` is the fly-to anchor; ``bbox`` is the internal
# count window in ``min_lat, min_lon, max_lat, max_lon`` order.
_ZONES: tuple[dict, ...] = (
{
"id": "ukraine",
"label": "Ukraine",
"severity": "war",
"lat": 48.5,
"lon": 31.0,
"description": "Full-scale Russian invasion since 2022; active front lines in the east and south.",
"bbox": (44.3, 22.1, 52.4, 40.2),
},
{
"id": "gaza",
"label": "Gaza",
"severity": "war",
"lat": 31.4,
"lon": 34.4,
"description": "IsraelHamas war; sustained fighting and a severe humanitarian crisis in the Gaza Strip.",
"bbox": (31.0, 34.1, 31.8, 34.7),
},
{
"id": "sudan",
"label": "Sudan",
"severity": "war",
"lat": 15.5,
"lon": 30.0,
"description": "Civil war between the SAF and RSF since 2023, with mass displacement across the country.",
"bbox": (8.7, 21.8, 22.0, 38.6),
},
{
"id": "myanmar",
"label": "Myanmar",
"severity": "war",
"lat": 21.5,
"lon": 96.0,
"description": "Post-2021 coup conflict pitting the junta against resistance and ethnic armed groups.",
"bbox": (9.5, 92.2, 28.5, 101.2),
},
{
"id": "drc",
"label": "DR Congo",
"severity": "war",
"lat": -1.5,
"lon": 28.0,
"description": "Eastern DRC conflict involving M23 and other armed groups; heavy displacement around Goma.",
"bbox": (-5.0, 26.0, 3.0, 31.0),
},
{
"id": "yemen",
"label": "Yemen",
"severity": "war",
"lat": 15.5,
"lon": 47.5,
"description": "Protracted Houthigovernment/coalition war with one of the world's worst humanitarian emergencies.",
"bbox": (12.6, 42.5, 19.0, 54.0),
},
{
"id": "syria",
"label": "Syria",
"severity": "war",
"lat": 34.5,
"lon": 38.5,
"description": "Multi-sided civil war; government, opposition, and external actors continue to engage.",
"bbox": (32.3, 35.7, 37.3, 42.4),
},
{
"id": "lebanon",
"label": "Lebanon",
"severity": "high",
"lat": 33.9,
"lon": 35.9,
"description": "IsraelHezbollah hostilities with periodic escalation along the southern border.",
"bbox": (33.0, 35.0, 34.7, 36.6),
},
{
"id": "sahel",
"label": "Sahel",
"severity": "high",
"lat": 14.5,
"lon": 0.0,
"description": "Jihadist insurgencies across Mali, Burkina Faso, and Niger destabilising the central Sahel.",
"bbox": (10.0, -10.0, 20.0, 12.0),
},
{
"id": "somalia",
"label": "Somalia",
"severity": "high",
"lat": 6.0,
"lon": 45.0,
"description": "Al-Shabaab insurgency against the federal government and security forces.",
"bbox": (-2.0, 41.0, 12.0, 51.5),
},
{
"id": "red_sea",
"label": "Red Sea",
"severity": "high",
"lat": 18.0,
"lon": 40.0,
"description": "Houthi attacks on commercial shipping transiting the Red Sea corridor.",
"bbox": (12.0, 34.0, 22.0, 44.0),
},
{
"id": "taiwan_strait",
"label": "Taiwan Strait",
"severity": "elevated",
"lat": 24.5,
"lon": 119.5,
"description": "Heightened military standoff between China and Taiwan, including deterrence patrols.",
"bbox": (21.9, 117.0, 26.5, 122.0),
},
{
"id": "korean_dmz",
"label": "Korean DMZ",
"severity": "elevated",
"lat": 38.3,
"lon": 127.0,
"description": "Heavily fortified inter-Korean border with periodic tensions and military drills.",
"bbox": (37.5, 126.0, 39.0, 128.5),
},
)
SEVERITIES: frozenset[str] = frozenset({"war", "high", "elevated"})
def conflict_zones() -> list[dict]:
"""Return a fresh shallow copy of the catalog (callers must not mutate)."""
return [dict(z) for z in _ZONES]
def zone_event_stats(
points: list[tuple[float, float, datetime | None]],
bbox: tuple[float, float, float, float],
) -> tuple[int, datetime | None]:
"""Count points inside ``bbox`` and return (count, latest timestamp).
``points`` is an iterable of ``(lat, lon, ts)``; ``ts`` may be ``None``.
``bbox`` is ``(min_lat, min_lon, max_lat, max_lon)``.
"""
min_lat, min_lon, max_lat, max_lon = bbox
count = 0
latest: datetime | None = None
for lat, lon, ts in points:
if min_lat <= lat <= max_lat and min_lon <= lon <= max_lon:
count += 1
if ts is not None and (latest is None or ts > latest):
latest = ts
return count, latest

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@ -150,6 +150,12 @@ def overlay_catalog() -> dict:
"endpoint": "/api/map/gpsjam",
"attribution": "GPSJAM / John Wiseman / ADS-B Exchange",
},
"conflicts": {
"id": "conflicts",
"kind": "points",
"endpoint": "/api/conflicts",
"attribution": "Curated OSINT conflict catalog",
},
}

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@ -38,6 +38,7 @@ from models import (
)
from schemas import (
AlertCreate, AlertOut, AlertSeverity, AlertType, AlertUpdate,
ConflictZoneOut, ConflictsOut,
DashboardSummary, EntityCreate, EntityKind, EntityOut,
EventCreate, EventOut, FireOut, NewsArticleOut, NewsMapItemOut,
NewsSummaryOut, NewsTickerItemOut,
@ -1432,6 +1433,58 @@ async def map_chokepoints():
return {"chokepoints": chokepoints()}
async def _fetch_geocoded_points() -> list[tuple[float, float, datetime | None]]:
"""Collect geocoded ``(lat, lon, ts)`` rows from the local DB.
Sources are the flagged map pins (``news_items`` kind=map) and geocoded
news/GDELT events (``events`` with ``location_lat/lon``). This is the
pre-existing geocoded corpus the conflict-zone counters roll up no
upstream scraping and no generated/jittered coordinates.
"""
async with async_session() as session:
map_rows = (
await session.execute(
select(news_items.c.lat, news_items.c.lon, news_items.c.created_at)
.where(
news_items.c.kind == "map",
news_items.c.lat.isnot(None),
news_items.c.lon.isnot(None),
)
)
).all()
event_rows = (
await session.execute(
select(events.c.location_lat, events.c.location_lon, events.c.source_timestamp)
.where(
events.c.source_type.in_(["rss", "gdel-t2"]),
events.c.location_lat.isnot(None),
events.c.location_lon.isnot(None),
)
)
).all()
return [tuple(r) for r in map_rows] + [tuple(r) for r in event_rows]
@app.get("/api/conflicts", response_model=ConflictsOut)
async def list_conflicts():
"""Curated conflict-zone catalog with per-zone event counts.
Static catalogue (severity + short factual description) merged with a live
``eventCount`` roll-up of pre-existing geocoded news/GDELT//api/news/map
rows inside each zone bbox. Empty DB ``eventCount=0`` (never 502).
"""
from conflicts import conflict_zones, zone_event_stats
points = await _fetch_geocoded_points()
timestamp = datetime.now(timezone.utc)
zones = []
for z in conflict_zones():
bbox = z.pop("bbox")
count, latest = zone_event_stats(points, bbox)
zones.append({**z, "eventCount": count, "lastUpdated": latest})
return {"zones": zones, "timestamp": timestamp}
def _upstream_or_502(exc: Exception, name: str) -> NoReturn:
logger.warning("live_layer_upstream_failed", layer=name, error=str(exc))
raise HTTPException(502, f"{name} upstream unavailable: {exc}") from exc

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@ -4,7 +4,7 @@ from __future__ import annotations
from datetime import datetime
from enum import Enum
from typing import Optional
from typing import Literal, Optional
from uuid import UUID
from pydantic import BaseModel, Field, field_validator
@ -386,3 +386,24 @@ class GeofenceUpdate(BaseModel):
geojson: Optional[dict] = None
active: Optional[bool] = None
class ConflictZoneOut(BaseModel):
"""One curated conflict theatre as exposed by GET /api/conflicts."""
id: str
label: str
severity: Literal["war", "high", "elevated"]
lat: float
lon: float
description: str
eventCount: int
lastUpdated: Optional[datetime] = None
class ConflictsOut(BaseModel):
"""Response envelope for GET /api/conflicts."""
zones: list[ConflictZoneOut]
timestamp: datetime

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tests/test_conflicts.py Normal file
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@ -0,0 +1,132 @@
"""GET /api/conflicts — curated conflict-zone catalog + event-count roll-up.
No outbound HTTP: event counts come from geocoded rows already (or not) in the
DB, and the API tests monkeypatch ``main._fetch_geocoded_points`` so no database
is required for the contract checks.
"""
from datetime import datetime, timezone
import httpx
from conflicts import SEVERITIES, conflict_zones, zone_event_stats
from live_layers import overlay_catalog
from main import app
BASE = "http://test"
def _get(path: str, monkeypatch=None, points=None) -> httpx.Response:
import asyncio
async def run() -> httpx.Response:
if monkeypatch is not None:
async def fake():
return points or []
monkeypatch.setattr("main._fetch_geocoded_points", fake)
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url=BASE) as client:
return await client.get(path)
return asyncio.run(run())
# ── Catalog shape ──────────────────────────────────────────────────────
def test_catalog_length():
zones = conflict_zones()
assert len(zones) == 13
def test_catalog_severity_enum():
zones = conflict_zones()
sevs = {z["severity"] for z in zones}
assert sevs.issubset(SEVERITIES)
# All three tiers are represented.
assert sevs == SEVERITIES
def test_catalog_fields_factual_and_complete():
zones = conflict_zones()
ids = [z["id"] for z in zones]
assert len(set(ids)) == len(ids) # unique ids
for z in zones:
assert z["label"]
assert z["description"].strip()
assert -90.0 <= z["lat"] <= 90.0
assert -180.0 <= z["lon"] <= 180.0
# internal-only bbox is well-formed: (min_lat, min_lon, max_lat, max_lon)
min_lat, min_lon, max_lat, max_lon = z["bbox"]
assert min_lat <= max_lat and min_lon <= max_lon
assert min_lat <= z["lat"] <= max_lat and min_lon <= z["lon"] <= max_lon
def test_overlay_catalog_has_conflicts():
entry = overlay_catalog()["conflicts"]
assert entry["kind"] == "points"
assert entry["endpoint"] == "/api/conflicts"
# ── Pure counting ──────────────────────────────────────────────────────
TS1 = datetime(2026, 8, 30, 12, 0, tzinfo=timezone.utc)
TS2 = datetime(2026, 8, 30, 13, 0, tzinfo=timezone.utc)
def test_zone_event_stats_counts_and_picks_latest():
bbox = (40.0, 20.0, 52.0, 40.0) # roughly Ukraine
points = [
(50.45, 30.52, TS1), # inside
(48.0, 25.0, TS2), # inside, later
(0.0, -60.0, TS1), # outside
(15.0, 45.0, TS2), # outside (lat ok, lon out)
]
count, latest = zone_event_stats(points, bbox)
assert count == 2
assert latest == TS2
def test_zone_event_stats_empty_bbox():
count, latest = zone_event_stats([], (0.0, 0.0, 1.0, 1.0))
assert count == 0
assert latest is None
# ── API contract (mocked map items, no DB) ─────────────────────────────
def test_conflicts_returns_catalog_with_mocked_counts(monkeypatch):
points = [
(50.45, 30.52, TS1), # Ukraine
(25.03, 121.56, TS2), # Taiwan Strait
(0.0, -60.0, TS1), # nowhere
]
resp = _get("/api/conflicts", monkeypatch=monkeypatch, points=points)
assert resp.status_code == 200
body = resp.json()
assert "zones" in body and "timestamp" in body
by_id = {z["id"]: z for z in body["zones"]}
assert len(body["zones"]) == 13
zone = by_id["ukraine"]
assert zone["eventCount"] == 1
assert zone["lastUpdated"] == TS1.isoformat().replace("+00:00", "Z")
assert zone["severity"] == "war"
assert by_id["taiwan_strait"]["eventCount"] == 1
assert by_id["gaza"]["eventCount"] == 0
# exact per-zone key contract the frontend consumes
assert set(zone.keys()) == {
"id", "label", "severity", "lat", "lon",
"description", "eventCount", "lastUpdated",
}
def test_conflicts_empty_db_yields_zero_counts(monkeypatch):
resp = _get("/api/conflicts", monkeypatch=monkeypatch, points=[])
assert resp.status_code == 200
body = resp.json()
assert all(z["eventCount"] == 0 for z in body["zones"])
assert all(z["lastUpdated"] is None for z in body["zones"])