"""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": "Israel–Hamas 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 Houthi–government/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": "Israel–Hezbollah 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