"""
API Middleware — Auth verification, rate limiting, and request logging.
"""

import time
import hashlib
import structlog
from fastapi import Request
from typing import Optional

from app.auth.jwt_auth import AuthService
from app.observability.metrics import metrics

logger = structlog.get_logger()


# ── In-Memory Rate Limiter (upgrade to Redis for production) ──

class InMemoryRateLimiter:
    """
    Simple in-memory rate limiter using sliding window counters.
    For production, use Redis-backed implementation.
    """

    def __init__(self, requests_per_minute: int = 60):
        self.rpm = requests_per_minute
        self._counters: dict[str, list[float]] = {}
        self._call_count = 0

    def check(self, key: str) -> bool:
        """Returns True if request is allowed, False if rate limited."""
        now = time.time()
        window_start = now - 60

        if key not in self._counters:
            self._counters[key] = []

        # Clean old entries for this key
        self._counters[key] = [t for t in self._counters[key] if t > window_start]

        # Periodic cleanup of dead keys to prevent unbounded memory growth
        self._call_count += 1
        if self._call_count % 500 == 0:
            dead_keys = [k for k, v in self._counters.items() if not v]
            for k in dead_keys:
                del self._counters[k]

        if len(self._counters[key]) >= self.rpm:
            return False

        self._counters[key].append(now)
        return True


# ── In-Memory Query Cache ────────────────────────────────

class QueryCache:
    """
    Simple in-memory query cache.
    For production, upgrade to Redis.
    """

    def __init__(self, ttl_seconds: int = 300, max_entries: int = 500):
        self.ttl = ttl_seconds
        self.max_entries = max_entries
        self._cache: dict[str, dict] = {}

    def _make_key(self, query: str, tenant_id: str = "default") -> str:
        raw = f"{tenant_id}:{query.strip().lower()}"
        return hashlib.sha256(raw.encode()).hexdigest()[:16]

    def get(self, query: str, tenant_id: str = "default") -> Optional[dict]:
        key = self._make_key(query, tenant_id)
        entry = self._cache.get(key)
        if entry and time.time() - entry["timestamp"] < self.ttl:
            return entry["data"]
        elif entry:
            del self._cache[key]
        return None

    def set(self, query: str, data: dict, tenant_id: str = "default"):
        key = self._make_key(query, tenant_id)
        # Evict oldest if at capacity
        if len(self._cache) >= self.max_entries:
            oldest_key = min(self._cache, key=lambda k: self._cache[k]["timestamp"])
            del self._cache[oldest_key]
        self._cache[key] = {"data": data, "timestamp": time.time(), "tenant_id": tenant_id}

    def invalidate(self, tenant_id: str = "default"):
        """Clear all cache entries for a specific tenant.
        Cache keys are SHA-256 hashes of '{tenant_id}:{query}', so we must
        recheck by storing the tenant_id alongside the cached data.
        """
        keys_to_delete = [
            k for k, v in self._cache.items()
            if v.get("tenant_id", "default") == tenant_id
        ]
        for k in keys_to_delete:
            del self._cache[k]

    def invalidate_all(self):
        """Clear the entire cache (all tenants)."""
        self._cache.clear()


# ── Auth Dependency ──────────────────────────────────────

def create_auth_dependency(auth_service: AuthService):
    """
    Create a FastAPI dependency for JWT authentication.
    Token is OPTIONAL — unauthenticated requests receive a guest analyst identity.
    This allows the frontend to work without login for development/demo use.
    """
    # Default guest identity for unauthenticated requests
    GUEST_USER = {
        "sub": "guest",
        "username": "guest",
        "role": "analyst",
        "tenant_id": "default",
    }

    def get_current_user(request: Request) -> dict:
        auth_header = request.headers.get("Authorization", "")
        api_key = request.headers.get("X-API-Key", "")

        # No credentials provided — return guest identity (no 401)
        if not auth_header.startswith("Bearer ") and not api_key:
            return GUEST_USER

        token = auth_header[7:] if auth_header.startswith("Bearer ") else api_key

        try:
            payload = auth_service.verify_token(token)
            return payload
        except Exception as e:
            metrics.increment("plainsql_auth_failures_total")
            logger.warning("auth_failed", error=str(e))
            # Invalid token → still return guest rather than blocking (dev-friendly)
            return GUEST_USER

    return get_current_user



# ── Request Logging Middleware ───────────────────────────

class RequestLoggingMiddleware:
    """Log all API requests with timing."""

    def __init__(self, app):
        self.app = app

    async def __call__(self, scope, receive, send):
        if scope["type"] != "http":
            await self.app(scope, receive, send)
            return

        start_time = time.time()
        request = Request(scope, receive)

        # Track active requests
        metrics.set_gauge("plainsql_active_requests", 1)

        try:
            await self.app(scope, receive, send)
        finally:
            elapsed = round((time.time() - start_time) * 1000, 2)
            metrics.set_gauge("plainsql_active_requests", 0)

            logger.info(
                "http_request",
                method=request.method,
                path=request.url.path,
                elapsed_ms=elapsed,
            )