"""Shared fixtures for UI integration tests."""

from __future__ import annotations

from collections.abc import Awaitable
from collections.abc import Callable
from collections.abc import Generator
from datetime import UTC
from datetime import datetime
from pathlib import Path
from uuid import UUID

import pytest
import pytest_asyncio
from fastapi import FastAPI
from fastapi.testclient import TestClient
from sqlmodel import delete

from transcription.app import create_app
from transcription.config import Settings
from transcription.config import SqliteSettings
from transcription.db import session as db_session_module
from transcription.db import session_scope
from transcription.db.models import Document
from transcription.db.models import DocumentPerson
from transcription.db.models import DocumentTag
from transcription.db.models import ExecutionAttempt
from transcription.db.models import Job
from transcription.db.models import JobSource
from transcription.db.models import JobSourceStatus
from transcription.db.models import JobStatus
from transcription.db.models import Person
from transcription.db.models import Photo
from transcription.db.models import Source
from transcription.db.models import Tag


@pytest.fixture(scope="session")
def app_client(tmp_path_factory: pytest.TempPathFactory) -> Generator[tuple[FastAPI, TestClient]]:
    """Provide a real application and test client backed by in-memory SQLite."""
    tmp_path = tmp_path_factory.mktemp("ui")
    database = SqliteSettings(path=str(tmp_path / "ui-tests.db"))
    settings = Settings(
        openrouter_api_key="test-key",
        database=database,
        environment="test",
        bootstrap_schema_on_startup=True,
        upload_dir=tmp_path / "uploads",
        prompt_dir=tmp_path / "prompts",
    )

    app = create_app(settings=settings)

    with TestClient(app) as client:
        runtime_path = Path(str(app.state.runtime.engine.url.database)).resolve()
        expected_path = Path(database.path).resolve()
        if runtime_path != expected_path:
            raise RuntimeError(
                f"Refusing to initialize destructive UI fixtures against {runtime_path}; expected {expected_path}"
            )
        yield app, client


@pytest_asyncio.fixture(autouse=True)
async def clear_ui_database(
    app_client: tuple[FastAPI, TestClient],
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    """Reset UI-facing tables asynchronously before each test for isolation."""
    app, _ = app_client
    monkeypatch.setattr(
        db_session_module,
        "resolve_session_factory",
        lambda *_args, **_kwargs: app.state.runtime.session_factory,
    )
    async with session_scope(session_factory=app.state.runtime.session_factory) as session:
        await session.exec(delete(JobSource))
        await session.exec(delete(DocumentTag))
        await session.exec(delete(DocumentPerson))
        await session.exec(delete(Source))
        await session.exec(delete(Job))
        await session.exec(delete(Document))
        await session.exec(delete(Photo))
        await session.exec(delete(Person))
        await session.exec(delete(Tag))
        await session.commit()


@pytest_asyncio.fixture
async def seed_job(app_client: tuple[FastAPI, TestClient]) -> Callable[..., Awaitable[UUID]]:
    """Return an async helper for seeding a Document -> Job -> Source tuple."""
    app, _ = app_client
    fixtures_dir = Path(__file__).resolve().parents[1] / "fixtures" / "images" / "valid"

    async def _seed(
        *,
        filename: str = "sample.pdf",
        status: JobStatus = JobStatus.TRANSCRIBED,
        transcription_text: str | None = "Sample transcript text",
        error_detail: str | None = None,
        revision_text: str | None = None,
        source_file: Path | None = None,
        ai_metadata: dict | None = None,
        raw_api_response: dict | None = None,
    ) -> UUID:
        async with session_scope() as session:
            stored_path = app.state.settings.upload_dir / filename
            stored_path.parent.mkdir(parents=True, exist_ok=True)
            source_path = source_file or fixtures_dir / "small_png.png"
            stored_path.write_bytes(source_path.read_bytes())

            document = Document(name=filename)
            session.add(document)
            await session.flush()

            job = Job(
                document_id=document.id,
                status=status,
                retry_count=0,
                provider="openrouter",
                model="google/gemini-2.5-flash",
                prompt_name="transcribe_document.md",
            )
            session.add(job)
            await session.flush()

            source = Source(
                document_id=document.id,
                page_number=1,
                upload_name=filename,
                filename=filename,
                file_path=stored_path.resolve().relative_to(app.state.settings.upload_dir.resolve()).as_posix(),
                file_hash="b" * 64,
                file_size_bytes=len(stored_path.read_bytes()),
            )
            session.add(source)
            await session.flush()

            if transcription_text is not None or error_detail is not None:
                outcome = JobSourceStatus.TRANSCRIBED if transcription_text is not None else JobSourceStatus.FAILED
                job_source = JobSource(job_id=job.id, source_id=source.id, status=outcome)
                session.add(job_source)
                await session.flush()

                # Evidence lives on execution_attempt, not job_source.
                executed_at = datetime.now(UTC)
                session.add(
                    ExecutionAttempt(
                        job_source_id=job_source.id,
                        job_id=job.id,
                        source_id=source.id,
                        attempt_number=1,
                        status=outcome,
                        provider="openrouter",
                        model="google/gemini-2.5-flash",
                        response_received=transcription_text is not None,
                        sdk_response_snapshot=raw_api_response,
                        normalized_metadata=ai_metadata,
                        raw_transcription=transcription_text,
                        error_detail=error_detail,
                        started_at=executed_at,
                        finished_at=executed_at,
                        duration_ms=0,
                    )
                )

            if revision_text is not None:
                source.revised_text = revision_text
                source.date_revised = datetime.now(UTC)
                session.add(source)

            await session.commit()
            return job.id

    return _seed