from __future__ import annotations

import asyncio
import json
from types import SimpleNamespace

import httpx
import pytest

from app.gateway import llmwiki_index_scheduler
from deerflow.config.llmwiki_config import LocalWikiEmbeddingConfig, LocalWikiIndexConfig
from deerflow.integrations.weknora.local_index.embedding import StrictWikiEmbeddingClient
from deerflow.integrations.weknora.local_index.sync import WikiSyncService
from deerflow.integrations.weknora.local_index.vector_cache import WikiVectorCache
from deerflow.persistence.llmwiki_index.memory import MemoryLlmWikiIndexStore


class FakeEmbedding:
    dimensions = 2
    fingerprint = "fp"

    def __init__(self) -> None:
        self.calls = 0

    async def embed_texts(self, texts: list[str]) -> list[list[float]]:
        self.calls += 1
        return [[1.0, 0.0] for _ in texts]


class FailingEmbedding(FakeEmbedding):
    async def embed_texts(self, texts: list[str]) -> list[list[float]]:
        raise RuntimeError("embedding unavailable")


class NewFingerprintEmbedding(FakeEmbedding):
    fingerprint = "fp-new"


class FakeWeKnora:
    def __init__(self) -> None:
        self.pages = {
            "one": {
                "id": "p1",
                "slug": "one",
                "title": "One",
                "summary": "A long enough summary for indexing and retrieval.",
                "content": "# Intro\nA long enough Wiki paragraph for indexing and semantic retrieval.",
                "status": "published",
                "version": 1,
            },
        }

    async def get_knowledge_base(self, knowledge_base_id: str):
        return {"id": knowledge_base_id, "indexing_strategy": {"wiki_enabled": True}}

    async def list_wiki_pages(self, knowledge_base_id: str, *, page: int, page_size: int):
        return {
            "pages": [{"slug": item["slug"], "title": item["title"]} for item in self.pages.values()],
            "total": len(self.pages),
            "total_pages": 1,
        }

    async def get_wiki_page(self, knowledge_base_id: str, slug: str):
        return dict(self.pages[slug])


@pytest.mark.asyncio
async def test_configured_dimensions_are_validated_but_not_sent_to_bge() -> None:
    requests: list[dict] = []

    def handler(request: httpx.Request) -> httpx.Response:
        payload = json.loads(request.content)
        requests.append(payload)
        if "dimensions" in payload:
            return httpx.Response(400, json={"detail": "dimensions is not supported"})
        return httpx.Response(
            200,
            json={"data": [{"index": 0, "embedding": [1.0, 0.0, 0.0]}]},
        )

    config = LocalWikiEmbeddingConfig(
        model="bge-embedding-m3",
        base_url="http://embedding.test/v1",
        dimensions=3,
        max_retries=0,
    )
    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
        client = StrictWikiEmbeddingClient(config, http_client=http_client)
        vector = await client.embed_query("Wiki page")

    assert vector == [1.0, 0.0, 0.0]
    assert requests == [{"model": "bge-embedding-m3", "input": ["Wiki page"]}]


@pytest.mark.asyncio
async def test_embedding_error_includes_upstream_reason(caplog) -> None:
    def handler(request: httpx.Request) -> httpx.Response:
        return httpx.Response(400, json={"detail": "unsupported request parameter: dimensions"})

    config = LocalWikiEmbeddingConfig(
        model="bge-embedding-m3",
        base_url="http://embedding.test/v1",
        max_retries=0,
    )
    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
        client = StrictWikiEmbeddingClient(config, http_client=http_client)
        with pytest.raises(RuntimeError, match="unsupported request parameter: dimensions"):
            await client.embed_query("Wiki page")

    assert "unsupported request parameter: dimensions" in caplog.text


@pytest.mark.asyncio
async def test_omitted_dimensions_are_discovered_from_first_response() -> None:
    def handler(request: httpx.Request) -> httpx.Response:
        return httpx.Response(
            200,
            json={"data": [{"index": 0, "embedding": [0.0, 1.0]}]},
        )

    config = LocalWikiEmbeddingConfig(
        model="bge-embedding-m3",
        base_url="http://embedding.test/v1",
        dimensions=None,
        max_retries=0,
    )
    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
        client = StrictWikiEmbeddingClient(config, http_client=http_client)
        await client.embed_query("dimension probe")

    assert client.dimensions == 2


@pytest.mark.asyncio
async def test_sync_is_incremental_and_full_scan_deletes_missing_pages() -> None:
    config = LocalWikiIndexConfig(chunk_min_chars=10, min_similarity=0)
    store = MemoryLlmWikiIndexStore()
    embedding = FakeEmbedding()
    client = FakeWeKnora()
    service = WikiSyncService(config, store, embedding, WikiVectorCache(store), client)
    mapping = {"id": "kb", "weknora_id": "remote", "name": "Wiki"}

    first = await service.sync_mapping(mapping)
    assert first["changed_pages"] == 1
    assert embedding.calls == 1
    statuses = await store.list_page_index_status("kb")
    assert statuses[0]["title"] == "One"
    assert statuses[0]["vector_count"] > 0
    assert store.states["kb"]["remote_page_count"] == 1
    second = await service.sync_mapping(mapping)
    assert second["changed_pages"] == 0
    assert embedding.calls == 1

    client.pages.clear()
    deleted = await service.sync_mapping(mapping)
    assert deleted["deleted_pages"] == 1
    assert next(iter(store.pages.values()))["is_remote_deleted"] is True


@pytest.mark.asyncio
async def test_page_failure_keeps_previous_generation_and_marks_partial() -> None:
    config = LocalWikiIndexConfig(chunk_min_chars=10, min_similarity=0)
    store = MemoryLlmWikiIndexStore()
    client = FakeWeKnora()
    mapping = {"id": "kb", "weknora_id": "remote", "name": "Wiki"}
    await WikiSyncService(config, store, FakeEmbedding(), WikiVectorCache(store), client).sync_mapping(mapping)
    page = next(iter(store.pages.values()))
    old_hash = page["content_hash"]
    old_vectors = list(store.vectors[page["id"]])
    client.pages["one"]["content"] += " Changed."

    result = await WikiSyncService(config, store, FailingEmbedding(), WikiVectorCache(store), client).sync_mapping(mapping)

    assert result["status"] == "partial"
    assert store.states["kb"]["state"] == "partial"
    assert store.states["kb"]["failed_page_count"] == 1
    assert store.pages[page["id"]]["content_hash"] == old_hash
    assert store.pages[page["id"]]["index_status"] == "ready"
    assert store.vectors[page["id"]] == old_vectors


@pytest.mark.asyncio
async def test_fingerprint_change_automatically_rebuilds_entire_mapping() -> None:
    config = LocalWikiIndexConfig(chunk_min_chars=10, min_similarity=0)
    store = MemoryLlmWikiIndexStore()
    client = FakeWeKnora()
    mapping = {"id": "kb", "weknora_id": "remote", "name": "Wiki"}
    await WikiSyncService(config, store, FakeEmbedding(), WikiVectorCache(store), client).sync_mapping(mapping)

    embedding = NewFingerprintEmbedding()
    result = await WikiSyncService(config, store, embedding, WikiVectorCache(store), client).sync_mapping(mapping)

    assert result["status"] == "completed"
    assert result["changed_pages"] == 1
    assert embedding.calls == 1
    assert store.states["kb"]["state"] == "idle"
    assert store.states["kb"]["embedding_fingerprint"] == "fp-new"
    assert {vector["embedding_fingerprint"] for vectors in store.vectors.values() for vector in vectors} == {"fp-new"}


@pytest.mark.asyncio
async def test_auto_sync_scheduler_scans_immediately_then_only_when_due(monkeypatch) -> None:
    now = 0.0
    refreshes: list[float] = []
    syncs: list[float] = []
    sleeps: list[float] = []
    config = SimpleNamespace(
        enabled=True,
        auto_sync=True,
        sync_interval_seconds=25,
    )

    async def fake_refresh(_app):
        refreshes.append(now)
        return config

    async def fake_sleep(seconds: float) -> None:
        nonlocal now
        sleeps.append(seconds)
        if len(syncs) >= 2:
            raise asyncio.CancelledError
        now += seconds

    async def fake_sync_once(_app, *, config=None) -> None:
        syncs.append(now)

    monkeypatch.setattr(llmwiki_index_scheduler, "monotonic", lambda: now)
    monkeypatch.setattr(llmwiki_index_scheduler.asyncio, "sleep", fake_sleep)
    monkeypatch.setattr(llmwiki_index_scheduler, "_sync_once", fake_sync_once)
    monkeypatch.setattr(
        llmwiki_index_scheduler,
        "_refresh_local_wiki_config",
        fake_refresh,
    )
    app = SimpleNamespace(
        state=SimpleNamespace(
            llmwiki_sync_service=object(),
            llmwiki_store=object(),
        )
    )

    with pytest.raises(asyncio.CancelledError):
        await llmwiki_index_scheduler.local_wiki_index_scheduler_loop(app)

    assert refreshes == [0.0, 10.0, 20.0, 30.0]
    assert syncs == [0.0, 30.0]
    assert sleeps == [10.0, 10.0, 10.0, 10.0]


@pytest.mark.asyncio
async def test_auto_sync_scheduler_refreshes_provider_between_syncs(monkeypatch) -> None:
    now = 0.0
    seen_providers: list[str] = []
    syncs: list[str] = []
    providers = iter(("openai", "local", "local"))

    async def fake_refresh(_app):
        provider = next(providers)
        seen_providers.append(provider)
        _app.state.llmwiki_runtime_signature = provider
        return SimpleNamespace(
            enabled=True,
            auto_sync=True,
            sync_interval_seconds=120,
            embedding=SimpleNamespace(provider=provider),
        )

    async def fake_sync_once(_app, *, config=None) -> None:
        syncs.append(config.embedding.provider)

    async def fake_sleep(seconds: float) -> None:
        nonlocal now
        now += seconds
        if len(seen_providers) >= 3:
            raise asyncio.CancelledError

    monkeypatch.setattr(llmwiki_index_scheduler, "monotonic", lambda: now)
    monkeypatch.setattr(llmwiki_index_scheduler.asyncio, "sleep", fake_sleep)
    monkeypatch.setattr(llmwiki_index_scheduler, "_sync_once", fake_sync_once)
    monkeypatch.setattr(
        llmwiki_index_scheduler,
        "_refresh_local_wiki_config",
        fake_refresh,
    )
    app = SimpleNamespace(
        state=SimpleNamespace(
            llmwiki_sync_service=object(),
            llmwiki_store=object(),
        )
    )

    with pytest.raises(asyncio.CancelledError):
        await llmwiki_index_scheduler.local_wiki_index_scheduler_loop(app)

    assert seen_providers == ["openai", "local", "local"]
    assert syncs == ["openai", "local"]


def test_local_wiki_index_defaults_to_automatic_sync() -> None:
    config = LocalWikiIndexConfig()

    assert config.auto_sync is True
    assert config.sync_interval_seconds == 30


def test_local_wiki_index_accepts_legacy_sync_flag() -> None:
    config = LocalWikiIndexConfig.model_validate({"sync_enabled": True})

    assert config.auto_sync is True
    assert config.sync_enabled is True