"""End-to-end tests for full API workflows."""
import json
from unittest.mock import AsyncMock

import pytest
from httpx import AsyncClient
from sqlalchemy import Engine

from repositories.listing_repository import ListingRepository


pytestmark = pytest.mark.e2e


@pytest.fixture(autouse=True)
def patch_db_engine(in_memory_engine: Engine, monkeypatch: pytest.MonkeyPatch) -> None:
    import database
    import api.app
    import api.rate_limiter
    monkeypatch.setattr(database, "engine", in_memory_engine)
    monkeypatch.setattr(api.app, "engine", in_memory_engine)
    # Disable rate limiting for E2E tests
    monkeypatch.setattr(api.rate_limiter, "_match_endpoint", lambda path, config: None)


@pytest.fixture(autouse=True)
def patch_redis_client(fake_redis, monkeypatch: pytest.MonkeyPatch) -> None:
    monkeypatch.setattr("services.listing_cache._get_redis_client", lambda: fake_redis)


def _parse_ndjson(text: str) -> list[dict]:
    return [json.loads(line) for line in text.strip().split("\n") if line.strip()]


# ---------- Streaming with filters ----------


@pytest.mark.asyncio
async def test_seed_and_stream_with_filter(
    async_client: AsyncClient,
    listing_repository: ListingRepository,
    rent_listing_factory,
) -> None:
    listings = [
        rent_listing_factory(id=i, price=1000 + i * 300, square_meters=40.0)
        for i in range(1, 21)
    ]
    await listing_repository.upsert_listings(listings)

    resp = await async_client.get(
        "/api/listing_geojson/stream?listing_type=RENT&max_price=3000"
    )
    lines = _parse_ndjson(resp.text)
    batches = [l for l in lines if l["type"] == "batch"]
    all_features = [f for b in batches for f in b["features"]]
    complete = lines[-1]

    for feat in all_features:
        assert feat["properties"]["total_price"] <= 3000
    assert complete["type"] == "complete"
    assert complete["total"] == len(all_features)


@pytest.mark.asyncio
async def test_large_batch_streaming(
    async_client: AsyncClient,
    listing_repository: ListingRepository,
    rent_listing_factory,
) -> None:
    listings = [
        rent_listing_factory(id=i, square_meters=40.0)
        for i in range(1, 201)
    ]
    await listing_repository.upsert_listings(listings)

    resp = await async_client.get(
        "/api/listing_geojson/stream?listing_type=RENT&batch_size=50"
    )
    lines = _parse_ndjson(resp.text)
    batches = [l for l in lines if l["type"] == "batch"]
    complete = lines[-1]

    assert len(batches) == 5  # first batch is smaller (FIRST_BATCH_SIZE=5), then 4x50
    assert complete["total"] == 200


@pytest.mark.asyncio
async def test_empty_result_set(async_client: AsyncClient) -> None:
    resp = await async_client.get(
        "/api/listing_geojson/stream?listing_type=RENT"
    )
    lines = _parse_ndjson(resp.text)

    assert lines[0]["type"] == "metadata"
    complete = lines[-1]
    assert complete["type"] == "complete"
    assert complete["total"] == 0


@pytest.mark.asyncio
async def test_refresh_creates_task(
    async_client: AsyncClient,
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    from services.listing_service import RefreshResult

    async def fake_refresh(*args, **kwargs):
        return RefreshResult(task_id="e2e-task-1", new_listings_count=0, message="started")

    monkeypatch.setattr("services.listing_service.refresh_listings", fake_refresh)
    monkeypatch.setattr("services.task_service.add_task_for_user", lambda email, tid: None)
    monkeypatch.setattr("notifications.send_notification", AsyncMock(return_value=None))

    resp = await async_client.post("/api/refresh_listings?listing_type=RENT")
    assert resp.status_code == 200
    assert resp.json()["task_id"] == "e2e-task-1"


@pytest.mark.asyncio
async def test_cache_populated_on_first_stream(
    async_client: AsyncClient,
    listing_repository: ListingRepository,
    rent_listing_factory,
) -> None:
    listings = [rent_listing_factory(id=i, square_meters=40.0) for i in range(1, 6)]
    await listing_repository.upsert_listings(listings)

    # First stream — cache miss, populated from DB
    resp1 = await async_client.get("/api/listing_geojson/stream?listing_type=RENT")
    lines1 = _parse_ndjson(resp1.text)
    assert lines1[0]["cached"] is False

    # Second stream — should hit cache
    resp2 = await async_client.get("/api/listing_geojson/stream?listing_type=RENT")
    lines2 = _parse_ndjson(resp2.text)
    assert lines2[0]["cached"] is True


@pytest.mark.asyncio
async def test_stream_filter_price(
    async_client: AsyncClient,
    listing_repository: ListingRepository,
    rent_listing_factory,
) -> None:
    listings = [
        rent_listing_factory(id=i, price=500 * i, square_meters=40.0)
        for i in range(1, 11)
    ]
    await listing_repository.upsert_listings(listings)

    resp = await async_client.get(
        "/api/listing_geojson/stream?listing_type=RENT&min_price=1500&max_price=3000"
    )
    lines = _parse_ndjson(resp.text)
    batches = [l for l in lines if l["type"] == "batch"]
    all_features = [f for b in batches for f in b["features"]]

    for feat in all_features:
        assert 1500 <= feat["properties"]["total_price"] <= 3000


@pytest.mark.asyncio
async def test_stream_filter_bedrooms(
    async_client: AsyncClient,
    listing_repository: ListingRepository,
    rent_listing_factory,
) -> None:
    listings = [
        rent_listing_factory(id=i, number_of_bedrooms=(i % 4) + 1, square_meters=40.0)
        for i in range(1, 21)
    ]
    await listing_repository.upsert_listings(listings)

    resp = await async_client.get(
        "/api/listing_geojson/stream?listing_type=RENT&min_bedrooms=2&max_bedrooms=3"
    )
    lines = _parse_ndjson(resp.text)
    batches = [l for l in lines if l["type"] == "batch"]
    all_features = [f for b in batches for f in b["features"]]

    for feat in all_features:
        assert 2 <= feat["properties"]["rooms"] <= 3
    assert len(all_features) > 0


@pytest.mark.asyncio
async def test_complete_total_matches_actual(
    async_client: AsyncClient,
    listing_repository: ListingRepository,
    rent_listing_factory,
) -> None:
    listings = [rent_listing_factory(id=i, square_meters=40.0) for i in range(1, 16)]
    await listing_repository.upsert_listings(listings)

    resp = await async_client.get("/api/listing_geojson/stream?listing_type=RENT")
    lines = _parse_ndjson(resp.text)
    batches = [l for l in lines if l["type"] == "batch"]
    total_features = sum(len(b["features"]) for b in batches)
    complete = lines[-1]

    assert complete["type"] == "complete"
    assert complete["total"] == total_features
    assert complete["total"] == 15