"""E2E 파이프라인 테스트 스켈레톤 — fixture LLM 응답으로 전체 흐름 검증.

실제 LLM 호출 없이, mock 응답으로 분석→이미지→웹북 플로우를 테스트.
TODO: 각 단계의 mock 응답을 fixture로 정의
"""
import pytest
from unittest.mock import patch, MagicMock
from fastapi.testclient import TestClient

from app.main import app


@pytest.fixture
def client():
    with TestClient(app) as c:
        yield c


@pytest.fixture
def auth_headers(client):
    """Login and return session cookie."""
    resp = client.post("/api/v1/auth/login", json={
        "username": "admin", "password": "admin123",
    })
    assert resp.status_code == 200
    return {"Cookie": f"session={resp.cookies.get('session')}"}


class TestPipelineE2E:
    """E2E pipeline test — upload → analyze → generate → export."""

    def test_health_check(self, client):
        resp = client.get("/api/v1/health")
        assert resp.status_code == 200
        assert resp.json()["status"] in ("ok", "degraded")

    def test_create_project(self, client, auth_headers):
        resp = client.post("/api/v1/projects/", json={
            "name": "Test Project", "description": "E2E test",
        }, headers=auth_headers)
        assert resp.status_code == 200
        assert "id" in resp.json()

    @pytest.mark.skip(reason="TODO: mock LLM responses for analysis")
    def test_full_pipeline(self, client, auth_headers):
        """Full pipeline: upload → analyze → ref images → scene images → webbook → pdf."""
        # 1. Create project
        # 2. Upload episode PDF
        # 3. Start analysis (mocked Gemini/GPT)
        # 4. Wait for completion
        # 5. Generate reference images (mocked)
        # 6. Generate scene images (mocked)
        # 7. Generate webbook
        # 8. Render PDF
        # 9. Verify all artifacts exist
        pass