import asyncio
import logging
import os
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from slowapi import _rate_limit_exceeded_handler
from slowapi.errors import RateLimitExceeded

from app.core.config import settings

# Initialize Sentry before any other app code
import sentry_sdk
if settings.SENTRY_DSN:
    sentry_sdk.init(
        dsn=settings.SENTRY_DSN,
        environment="development" if settings.DEBUG else "production",
        send_default_pii=True,
        traces_sample_rate=1.0 if settings.DEBUG else 0.2,
        # Profiling — included in free plan
        profiles_sample_rate=1.0 if settings.DEBUG else 0.2,
        # Filter out noisy health check transactions
        traces_sampler=lambda ctx: (
            0.0 if ctx.get("transaction_context", {}).get("name", "").startswith("GET /health") else None
        ),
    )

from app.core.database import init_db
from app.core.admin_database import _admin_session_factory as async_session_maker
from app.core.logging_config import setup_logging
from app.core.middleware import RequestLoggingMiddleware, ErrorLoggingMiddleware
from app.core.security_headers import SecurityHeadersMiddleware
from app.core.rate_limit import limiter
from app.api.router import api_router
from app.core.scheduler import scheduler, load_all_schedules, _cleanup_expired_ai_conversations
from app.services.retention_cleanup import cleanup_expired_chats
from app.services.notification_service import retry_failed_notifications
from app.core.service_account import ensure_service_account

# Initialize logging configuration
setup_logging()
logger = logging.getLogger(__name__)


async def archive_stale_ai_sessions():
    """Archive AI chat sessions with no activity for 30 days."""
    from app.models.ai_chat_session import AIChatSession
    from sqlalchemy import update
    from datetime import datetime, timezone, timedelta

    cutoff = datetime.now(timezone.utc) - timedelta(days=30)
    async with async_session_maker() as db:
        result = await db.execute(
            update(AIChatSession)
            .where(
                AIChatSession.updated_at < cutoff,
                AIChatSession.archived_at.is_(None),
                AIChatSession.status != "abandoned",
            )
            .values(archived_at=datetime.now(timezone.utc))
        )
        await db.commit()
        logger.info(f"[archive] Archived {result.rowcount} stale AI chat sessions")


async def _process_notification_retries():
    """Retry failed notification deliveries."""
    async with async_session_maker() as db:
        retried = await retry_failed_notifications(db)
        if retried:
            logger.info("Retried %d failed notifications", retried)


def _configure_seed_module(mod: object, api_url: str, email: str, password: str) -> None:
    """Set globals on a seed script module."""
    mod.API_BASE_URL = api_url  # type: ignore[attr-defined]
    mod.ADMIN_EMAIL = email  # type: ignore[attr-defined]
    mod.ADMIN_PASSWORD = password  # type: ignore[attr-defined]


async def _seed_users_directly() -> None:
    """Seed test users directly via DB if they don't exist yet."""
    try:
        from scripts.seed_test_users import main as seed_users
        logger.info("[seed] Seeding test users directly via DB...")
        await seed_users()
        logger.info("[seed] Test users seeded!")
    except Exception as e:
        logger.warning(f"[seed] User seeding failed: {e}")
        raise


async def _seed_trees_background() -> None:
    """Background task: seed test users + all flows after server is ready."""
    await asyncio.sleep(5)  # Wait for server to be fully ready
    port = os.environ.get("PORT", "8000")
    api_url = f"http://127.0.0.1:{port}/api/v1"
    email = "admin@resolutionflow.example.com"
    password = "TestPass123!"

    try:
        import httpx
        # Try to login — if it fails, seed users first
        async with httpx.AsyncClient(base_url=api_url, timeout=30) as client:
            login_resp = await client.post("/auth/login/json", json={"email": email, "password": password})
            if login_resp.status_code != 200:
                logger.warning("[seed] Admin login failed — seeding users first")
                await _seed_users_directly()
                # Retry login after seeding users
                login_resp = await client.post("/auth/login/json", json={"email": email, "password": password})
                if login_resp.status_code != 200:
                    logger.error(f"[seed] Admin login still failing after user seed (status={login_resp.status_code}) — aborting")
                    return

            token = login_resp.json()["access_token"]
            # Check if trees already exist
            trees_resp = await client.get("/trees", headers={"Authorization": f"Bearer {token}"})
            if trees_resp.status_code == 200 and len(trees_resp.json()) > 0:
                logger.info(f"[seed] {len(trees_resp.json())} flows already exist — skipping flow seeding")
                return

        # No flows yet — run all seed scripts
        seed_scripts = [
            ("seed_trees (Tier 1)", "scripts.seed_trees", "seed_database"),
            ("seed_trees_v2 (AD/M365/Networking)", "scripts.seed_trees_v2", "seed_database"),
            ("seed_procedural_flows", "scripts.seed_procedural_flows", "seed_procedural_flows"),
            ("seed_maintenance_flows", "scripts.seed_maintenance_flows", "seed_maintenance_flows"),
        ]

        for label, module_path, func_name in seed_scripts:
            try:
                import importlib
                mod = importlib.import_module(module_path)
                _configure_seed_module(mod, api_url, email, password)
                seed_fn = getattr(mod, func_name)
                logger.info(f"[seed] Running {label}...")
                await seed_fn()
                logger.info(f"[seed] {label} complete!")
            except Exception as e:
                logger.warning(f"[seed] {label} failed (non-fatal): {e}")

        logger.info("[seed] All flow seeding complete!")
    except Exception as e:
        logger.warning(f"[seed] Flow seeding failed (non-fatal): {e}")


@asynccontextmanager
async def lifespan(app: FastAPI):
    """Application lifespan handler."""
    # Startup
    logger.info("Starting ResolutionFlow API server...")
    logger.info(f"Environment: {'Development' if settings.DEBUG else 'Production'}")
    logger.info(f"ALLOW_RAILWAY_ORIGINS: {settings.ALLOW_RAILWAY_ORIGINS}")
    # Note: In production, use Alembic migrations instead of init_db
    # await init_db()

    # Ensure service account exists and cache its ID for sync operations
    async with async_session_maker() as db:
        service_account_id = await ensure_service_account(db)
    app.state.service_account_id = service_account_id
    logger.info(f"[service_account] Service account ready (id={service_account_id})")

    # Start maintenance schedule runner + AI conversation cleanup
    scheduler.start()
    async with async_session_maker() as db:
        await load_all_schedules(db)
    scheduler.add_job(
        _cleanup_expired_ai_conversations,
        trigger="interval",
        hours=1,
        id="cleanup_ai_conversations",
        replace_existing=True,
    )

    # Chat retention cleanup (daily)
    scheduler.add_job(
        cleanup_expired_chats,
        trigger="interval",
        hours=24,
        id="cleanup_expired_chats",
        replace_existing=True,
    )

    # Auto-archive stale AI chat sessions (daily at 3 AM)
    scheduler.add_job(
        archive_stale_ai_sessions,
        "cron",
        hour=3,
        id="archive_stale_ai_sessions",
        replace_existing=True,
    )

    # PSA push retry (every 5 minutes)
    from app.services.psa_retry_scheduler import process_pending_retries
    scheduler.add_job(
        process_pending_retries,
        trigger="interval",
        minutes=5,
        id="psa_push_retry",
        replace_existing=True,
    )

    # Knowledge Flywheel analysis (every 5 minutes)
    from app.services.knowledge_flywheel_scheduler import process_pending_analyses
    scheduler.add_job(
        process_pending_analyses,
        trigger="interval",
        minutes=5,
        id="knowledge_flywheel_analysis",
        replace_existing=True,
        max_instances=1,
    )

    # Notification retry (every minute)
    scheduler.add_job(
        _process_notification_retries,
        trigger="interval",
        minutes=1,
        id="notification_retry",
        replace_existing=True,
        max_instances=1,
    )

    # L1 walk session cleanup: flip stale active sessions to 'abandoned' (hourly)
    from app.services.l1_session_cleanup import run_cleanup_job as l1_cleanup_run
    scheduler.add_job(
        l1_cleanup_run,
        trigger="interval",
        hours=1,
        id="l1_session_cleanup",
        replace_existing=True,
        max_instances=1,
        args=[async_session_maker],
    )

    # Auto-seed trees in background on PR environments
    seed_task = None
    if settings.SEED_ON_DEPLOY:
        logger.info("[seed] SEED_ON_DEPLOY=true — scheduling background tree seeding")
        seed_task = asyncio.create_task(_seed_trees_background())

    yield

    # Shutdown
    if seed_task and not seed_task.done():
        seed_task.cancel()
    scheduler.shutdown(wait=False)
    logger.info("Shutting down ResolutionFlow API server...")


app = FastAPI(
    title=settings.APP_NAME,
    description="ResolutionFlow - Take the path MOST traveled. Guided troubleshooting with automatic documentation.",
    version="1.0.0",
    docs_url="/api/docs",
    redoc_url="/api/redoc",
    openapi_url="/api/openapi.json",
    lifespan=lifespan
)

app.state.limiter = limiter
app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)

# Add logging middleware (BEFORE CORS to log all requests)
app.add_middleware(ErrorLoggingMiddleware)
app.add_middleware(RequestLoggingMiddleware)

# Configure CORS
# Note: When ALLOW_RAILWAY_ORIGINS is True, we use allow_origin_regex for Railway domains
# PLUS the explicit allowed_origins list (for custom domains like app.resolutionflow.com)
if settings.ALLOW_RAILWAY_ORIGINS:
    app.add_middleware(
        CORSMiddleware,
        allow_origins=settings.allowed_origins,
        allow_origin_regex=r"https://.*\.up\.railway\.app",
        allow_credentials=True,
        allow_methods=["*"],
        allow_headers=["*"],
        expose_headers=["X-Redaction-Mode", "X-Redaction-Summary"],
    )
else:
    app.add_middleware(
        CORSMiddleware,
        allow_origins=settings.allowed_origins,
        allow_credentials=True,
        allow_methods=["*"],
        allow_headers=["*"],
        expose_headers=["X-Redaction-Mode", "X-Redaction-Summary"],
    )

# Add security headers middleware (after CORS so preflight responses work)
app.add_middleware(SecurityHeadersMiddleware)

# Include API router
app.include_router(api_router, prefix=settings.API_V1_PREFIX)


@app.get("/")
async def root():
    """Root endpoint."""
    return {
        "message": "ResolutionFlow API",
        "docs": "/api/docs",
        "version": "1.0.0"
    }


@app.get("/health")
async def health_check():
    """Health check endpoint."""
    return {"status": "healthy"}


if settings.DEBUG:
    @app.get("/debug/cors")
    async def debug_cors():
        """Debug endpoint to check CORS configuration."""
        return {
            "allow_railway_origins": settings.ALLOW_RAILWAY_ORIGINS,
            "cors_mode": "regex + list" if settings.ALLOW_RAILWAY_ORIGINS else "list",
            "allowed_origins": settings.allowed_origins,
            "railway_regex": r"https://.*\.up\.railway\.app" if settings.ALLOW_RAILWAY_ORIGINS else None
        }