from __future__ import annotations

import asyncio
import math
import time
from collections import defaultdict, deque
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone

from sqlalchemy.dialects.sqlite import insert as sqlite_insert

from app.security.context import AuthContext
from app.security.database import SecurityDatabase
from app.security.errors import RateLimitError
from app.security.models import RateLimit, utcnow


@dataclass(slots=True)
class RateLimitLease:
    limiter: APIKeyRateLimiter
    api_key_id: str
    concurrent: bool

    async def release(self) -> None:
        if self.concurrent:
            await self.limiter.release_job(self.api_key_id)


class APIKeyRateLimiter:
    """Low-latency per-key windows with durable aggregate counters for auditing."""

    def __init__(self, database: SecurityDatabase) -> None:
        self.database = database
        self._lock = asyncio.Lock()
        self._requests: dict[str, deque[float]] = defaultdict(deque)
        self._uploads: dict[str, deque[float]] = defaultdict(deque)
        self._concurrent: dict[str, int] = defaultdict(int)
        self._daily_bytes: dict[tuple[str, str], int] = defaultdict(int)
        self._categories: dict[tuple[str, str], deque[float]] = defaultdict(deque)

    async def acquire(
        self,
        context: AuthContext,
        *,
        is_job: bool,
        is_upload: bool,
        uploaded_bytes: int,
    ) -> RateLimitLease:
        now = time.time()
        today = datetime.now(timezone.utc).date().isoformat()
        retry_after = 0
        async with self._lock:
            requests = self._requests[context.api_key_id]
            self._prune(requests, now - 60)
            if len(requests) >= context.requests_per_minute:
                retry_after = max(1, math.ceil(requests[0] + 60 - now))
            uploads = self._uploads[context.api_key_id]
            self._prune(uploads, now - 3600)
            if not retry_after and is_upload and len(uploads) >= context.uploads_per_hour:
                retry_after = max(1, math.ceil(uploads[0] + 3600 - now))
            daily_key = (context.api_key_id, today)
            daily_total = self._daily_bytes[daily_key]
            if (
                not retry_after
                and uploaded_bytes
                and daily_total + uploaded_bytes > context.processing_bytes_per_day
            ):
                tomorrow = datetime.now(timezone.utc).replace(
                    hour=0, minute=0, second=0, microsecond=0
                ) + timedelta(days=1)
                retry_after = max(1, int((tomorrow - datetime.now(timezone.utc)).total_seconds()))
            if (
                not retry_after
                and is_job
                and self._concurrent[context.api_key_id] >= context.concurrent_jobs
            ):
                retry_after = 1
            if retry_after:
                raise RateLimitError(retry_after)
            requests.append(now)
            if is_upload:
                uploads.append(now)
            if uploaded_bytes:
                self._daily_bytes[daily_key] += uploaded_bytes
            if is_job:
                self._concurrent[context.api_key_id] += 1
        await self._record(context.api_key_id, "requests_minute", 1, 0, 60)
        if is_upload:
            await self._record(context.api_key_id, "uploads_hour", 1, 0, 3600)
        if uploaded_bytes:
            await self._record(
                context.api_key_id, "processing_bytes_day", 0, uploaded_bytes, 86_400
            )
        return RateLimitLease(self, context.api_key_id, is_job)

    async def release_job(self, api_key_id: str) -> None:
        async with self._lock:
            self._concurrent[api_key_id] = max(0, self._concurrent[api_key_id] - 1)

    async def acquire_category(
        self,
        context: AuthContext,
        category: str,
        *,
        limit: int,
        window_seconds: int,
    ) -> None:
        """Reserve an independent social-operation bucket for a key.

        Generic API limits still apply in middleware. These smaller buckets
        prevent OAuth, publishing, scheduling, and analytics traffic from
        starving each other when the social subsystem is enabled.
        """
        now = time.time()
        key = (context.api_key_id, category)
        async with self._lock:
            values = self._categories[key]
            self._prune(values, now - window_seconds)
            if len(values) >= limit:
                raise RateLimitError(max(1, math.ceil(values[0] + window_seconds - now)))
            values.append(now)
        await self._record(context.api_key_id, category, 1, 0, window_seconds)

    @staticmethod
    def _prune(values: deque[float], cutoff: float) -> None:
        while values and values[0] <= cutoff:
            values.popleft()

    async def _record(
        self, api_key_id: str, bucket_type: str, count: int, units: int, seconds: int
    ) -> None:
        now = datetime.now(timezone.utc)
        epoch = int(now.timestamp())
        bucket_start = datetime.fromtimestamp(epoch - (epoch % seconds), timezone.utc)
        async with self.database.session() as session:
            statement = sqlite_insert(RateLimit).values(
                api_key_id=api_key_id,
                bucket_type=bucket_type,
                bucket_start=bucket_start,
                count=count,
                units=units,
                updated_at=utcnow(),
            )
            statement = statement.on_conflict_do_update(
                index_elements=[
                    RateLimit.api_key_id,
                    RateLimit.bucket_type,
                    RateLimit.bucket_start,
                ],
                set_={
                    "count": RateLimit.count + statement.excluded.count,
                    "units": RateLimit.units + statement.excluded.units,
                    "updated_at": utcnow(),
                },
            )
            await session.execute(statement)
            await session.commit()