"""
Knowledge Universe - API Middleware
Rate limiting and metrics collection

RICK'S FIX: Upgraded RateLimitMiddleware from in-memory defaultdict 
to Redis-backed atomic counters to survive deployments and scale across workers.
"""
import time
import logging
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Request
from starlette.responses import JSONResponse
from prometheus_client import Counter, Histogram

from config.settings import get_settings

settings = get_settings()
logger = logging.getLogger(__name__)


# Prometheus metrics
request_counter = Counter(
    'ku_requests_total',
    'Total requests',
    ['method', 'endpoint', 'status']
)

request_duration = Histogram(
    'ku_request_duration_seconds',
    'Request duration',
    ['method', 'endpoint']
)


class RateLimitMiddleware(BaseHTTPMiddleware):
    """
    Redis-backed rate limiting to survive deployments and multi-worker scaling.
    """
    
    def __init__(self, app):
        super().__init__(app)
        self.limit = settings.RATE_LIMIT_REQUESTS
        self.period = settings.RATE_LIMIT_PERIOD
    
    async def dispatch(self, request: Request, call_next):
        # Skip rate limiting for health checks and metrics
        if request.url.path in ['/health', '/ready', '/metrics']:
            return await call_next(request)
        
        client_id = self._get_client_id(request)
        
        try:
            # Safely get redis client from app state
            redis_manager = getattr(request.app.state, "redis", None)
            if redis_manager and redis_manager.client:
                redis_client = redis_manager.client
                
                # Create a time window bucket
                current_window = int(time.time() / self.period)
                limit_key = f"ku:ratelimit:{client_id}:{current_window}"
                
                # Atomic INCR and EXPIRE pipeline
                pipe = redis_client.pipeline()
                pipe.incr(limit_key)
                pipe.expire(limit_key, self.period)
                results = await pipe.execute()
                
                requests_this_window = results[0]
                
                if requests_this_window > self.limit:
                    logger.warning(f"Rate limit exceeded for {client_id}")
                    return JSONResponse(
                        status_code=429,
                        content={
                            'error': 'Rate limit exceeded',
                            'limit': self.limit,
                            'period': self.period,
                            'message': 'Maximum requests reached. Please slow down.'
                        },
                        headers={"Retry-After": str(self.period)}
                    )
        except Exception as e:
            # Fail open if Redis crashes so legitimate users aren't blocked
            logger.error(f"Rate limiter Redis failure: {e}")
        
        # Process request
        response = await call_next(request)
        return response
    
    def _get_client_id(self, request: Request) -> str:
        """Get client identifier from request"""
        # Check for API key
        api_key_header = getattr(settings, "API_KEY_HEADER", "X-API-Key")
        api_key = request.headers.get(api_key_header)
        
        if api_key:
            return f"key:{api_key[:8]}"  # Only use prefix for cache key security
        
        # Fall back to IP address for public routes like /signup
        return f"ip:{request.client.host if request.client else 'unknown'}"


class MetricsMiddleware(BaseHTTPMiddleware):
    """
    Prometheus metrics collection
    """
    
    async def dispatch(self, request: Request, call_next):
        # Skip metrics endpoint itself
        if request.url.path == '/metrics':
            return await call_next(request)
        
        # Record start time
        start_time = time.time()
        
        # Process request
        try:
            response = await call_next(request)
            status_code = response.status_code
        except Exception as e:
            logger.error(f"Request failed: {e}")
            status_code = 500
            raise
        finally:
            # Record metrics
            duration = time.time() - start_time
            
            request_counter.labels(
                method=request.method,
                endpoint=request.url.path,
                status=status_code
            ).inc()
            
            request_duration.labels(
                method=request.method,
                endpoint=request.url.path
            ).observe(duration)
        
        return response