"""
AI 缓存读写服务。

负责 biz.ai_cache 表的 CRUD 和保留策略管理。
所有查询和写入操作强制 site_id 隔离。

P14 改造：
- 新增 status 字段处理（valid/expired/invalidated/generating）
- 查询仅返回 status='valid' 且未过期的记录
- 按 App 类型设置过期时间
- 每 App 保留最新 20,000 条
"""

from __future__ import annotations

import json
import logging
from datetime import datetime, timedelta, timezone

from app.database import get_connection
from app.services.runtime_context import (
    LIVE_INSTANCE_ID,
    MODE_LIVE,
    MODE_SANDBOX,
    get_runtime_context,
)

logger = logging.getLogger(__name__)

# 缓存过期策略:cache_type → 过期天数(0 表示当日 23:59:59)
# 命名与 prompt 文件名一致(W1-AI-CLOSURE 组 1 数据库迁移已统一)。
# P0-11 修正:补 app2a_finance_area,与 app2_finance 同当日过期策略,
# 之前漏配导致 64 个区域组合缓存 expires_at=NULL 永不过期。
CACHE_EXPIRY_DAYS: dict[str, int] = {
    "app2_finance": 0,
    "app2a_finance_area": 0,
    "app3_clue": 7,
    "app4_analysis": 7,
    "app5_tactics": 7,
    "app6_note": 30,
    "app7_customer": 7,
    "app8_consolidation": 7,
}

# 每 App 保留上限
CACHE_MAX_PER_APP = 20_000


class AICacheService:
    """AI 缓存读写服务。"""

    @staticmethod
    def _runtime_scope(site_id: int, target_id: str, conn) -> tuple[str, str, str]:
        """返回运行模式、实例 ID 和实际 cache target_id。"""
        ctx = get_runtime_context(site_id, conn=conn)
        if ctx.is_sandbox and ctx.sandbox_instance_id:
            return MODE_SANDBOX, ctx.sandbox_instance_id, f"{ctx.sandbox_instance_id}:{target_id}"
        return MODE_LIVE, LIVE_INSTANCE_ID, target_id

    def get_latest(
        self,
        cache_type: str,
        site_id: int,
        target_id: str,
    ) -> dict | None:
        """查询最新有效缓存记录。

        仅返回 status='valid' 且未过期的记录。
        无记录时返回 None。
        """
        conn = get_connection()
        try:
            runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
                site_id, target_id, conn
            )
            with conn.cursor() as cur:
                cur.execute(
                    """
                    SELECT id, cache_type, site_id, target_id,
                           result_json, score, triggered_by,
                           created_at, expires_at, status
                    FROM biz.ai_cache
                    WHERE cache_type = %s AND site_id = %s AND target_id = %s
                      AND COALESCE(runtime_mode, 'live') = %s
                      AND COALESCE(sandbox_instance_id, 'live') = %s
                      AND (status = 'valid' OR status IS NULL)
                      AND (expires_at IS NULL OR expires_at > now())
                    ORDER BY created_at DESC
                    LIMIT 1
                    """,
                    (cache_type, site_id, scoped_target_id, runtime_mode, sandbox_instance_id),
                )
                columns = [desc[0] for desc in cur.description]
                row = cur.fetchone()
                if row is None:
                    return None
                return _row_to_dict(columns, row)
        finally:
            conn.close()

    def get_history(
        self,
        cache_type: str,
        site_id: int,
        target_id: str,
        limit: int = 2,
    ) -> list[dict]:
        """查询历史缓存记录（按 created_at DESC），用于 Prompt reference。

        无记录时返回空列表。
        """
        conn = get_connection()
        try:
            runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
                site_id, target_id, conn
            )
            with conn.cursor() as cur:
                cur.execute(
                    """
                    SELECT id, cache_type, site_id, target_id,
                           result_json, score, triggered_by,
                           created_at, expires_at
                    FROM biz.ai_cache
                    WHERE cache_type = %s AND site_id = %s AND target_id = %s
                      AND COALESCE(runtime_mode, 'live') = %s
                      AND COALESCE(sandbox_instance_id, 'live') = %s
                    ORDER BY created_at DESC
                    LIMIT %s
                    """,
                    (cache_type, site_id, scoped_target_id, runtime_mode, sandbox_instance_id, limit),
                )
                columns = [desc[0] for desc in cur.description]
                rows = cur.fetchall()
                return [_row_to_dict(columns, row) for row in rows]
        finally:
            conn.close()

    def write_cache(
        self,
        cache_type: str,
        site_id: int,
        target_id: str,
        result_json: dict,
        triggered_by: str | None = None,
        score: int | None = None,
        expires_at: datetime | None = None,
    ) -> int:
        """写入缓存记录，返回 id。

        自动设置 status='valid' 和按 App 类型计算 expires_at。
        写入后清理超限记录（每 App 保留 20,000 条）。
        """
        # 自动计算过期时间（如果未显式指定）
        if expires_at is None:
            expires_at = self._calc_expires_at(cache_type)

        conn = get_connection()
        try:
            runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
                site_id, target_id, conn
            )
            with conn.cursor() as cur:
                cur.execute(
                    """
                    INSERT INTO biz.ai_cache
                        (cache_type, site_id, target_id, result_json,
                         triggered_by, score, expires_at, status,
                         runtime_mode, sandbox_instance_id)
                    VALUES (%s, %s, %s, %s, %s, %s, %s, 'valid', %s, %s)
                    RETURNING id
                    """,
                    (
                        cache_type,
                        site_id,
                        scoped_target_id,
                        json.dumps(result_json, ensure_ascii=False),
                        triggered_by,
                        score,
                        expires_at,
                        runtime_mode,
                        sandbox_instance_id,
                    ),
                )
                row = cur.fetchone()
                conn.commit()
                cache_id: int = row[0]
        except Exception:
            conn.rollback()
            raise
        finally:
            conn.close()

        # 写入成功后清理超限记录
        try:
            deleted = self._cleanup_excess(cache_type, site_id, scoped_target_id)
            if deleted > 0:
                logger.info(
                    "清理超限缓存: cache_type=%s site_id=%s target_id=%s 删除=%d",
                    cache_type, site_id, target_id, deleted,
                )
        except Exception:
            logger.warning(
                "清理超限缓存失败: cache_type=%s site_id=%s target_id=%s",
                cache_type, site_id, target_id,
                exc_info=True,
            )

        return cache_id

    def set_generating(
        self,
        cache_type: str,
        site_id: int,
        target_id: str,
        triggered_by: str | None = None,
    ) -> int:
        """写入 generating 状态占位记录，返回 id。完成后调用 finalize_cache 更新。"""
        conn = get_connection()
        try:
            runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
                site_id, target_id, conn
            )
            with conn.cursor() as cur:
                cur.execute(
                    """
                    INSERT INTO biz.ai_cache
                        (cache_type, site_id, target_id, result_json, status, triggered_by,
                         runtime_mode, sandbox_instance_id)
                    VALUES (%s, %s, %s, '{}', 'generating', %s, %s, %s)
                    RETURNING id
                    """,
                    (cache_type, site_id, scoped_target_id, triggered_by, runtime_mode, sandbox_instance_id),
                )
                row = cur.fetchone()
                conn.commit()
                return row[0]
        except Exception:
            conn.rollback()
            raise
        finally:
            conn.close()

    def finalize_cache(
        self,
        cache_id: int,
        result_json: dict,
        score: int | None = None,
        cache_type: str | None = None,
    ) -> None:
        """将 generating 记录更新为 valid，填充结果和过期时间。"""
        expires_at = self._calc_expires_at(cache_type) if cache_type else None
        conn = get_connection()
        try:
            with conn.cursor() as cur:
                cur.execute(
                    """
                    UPDATE biz.ai_cache
                    SET result_json = %s, score = %s, status = 'valid', expires_at = %s
                    WHERE id = %s AND status = 'generating'
                    """,
                    (
                        json.dumps(result_json, ensure_ascii=False),
                        score,
                        expires_at,
                        cache_id,
                    ),
                )
                conn.commit()
        except Exception:
            conn.rollback()
            raise
        finally:
            conn.close()

    @staticmethod
    def _calc_expires_at(cache_type: str | None) -> datetime | None:
        """根据 cache_type 计算过期时间。未知类型返回 None。"""
        if cache_type is None:
            return None
        days = CACHE_EXPIRY_DAYS.get(cache_type)
        if days is None:
            return None
        now = datetime.now(timezone.utc)
        if days == 0:
            # 当日 23:59:59（UTC+8）
            local_now = now + timedelta(hours=8)
            end_of_day = local_now.replace(hour=23, minute=59, second=59, microsecond=0)
            return end_of_day - timedelta(hours=8)  # 转回 UTC
        return now + timedelta(days=days)

    def _cleanup_excess(
        self,
        cache_type: str,
        site_id: int,
        target_id: str,
        max_count: int = CACHE_MAX_PER_APP,
    ) -> int:
        """清理超限记录，保留最近 max_count 条，返回删除数量。"""
        conn = get_connection()
        try:
            with conn.cursor() as cur:
                # 删除超出保留上限的最旧记录
                cur.execute(
                    """
                    DELETE FROM biz.ai_cache
                    WHERE id IN (
                        SELECT id FROM biz.ai_cache
                        WHERE cache_type = %s AND site_id = %s AND target_id = %s
                        ORDER BY created_at DESC
                        OFFSET %s
                    )
                    """,
                    (cache_type, site_id, target_id, max_count),
                )
                deleted = cur.rowcount
                conn.commit()
                return deleted
        except Exception:
            conn.rollback()
            raise
        finally:
            conn.close()


def _row_to_dict(columns: list[str], row: tuple) -> dict:
    """将数据库行转换为 dict，处理特殊类型序列化。"""
    result = {}
    for col, val in zip(columns, row):
        if isinstance(val, datetime):
            result[col] = val.isoformat()
        else:
            result[col] = val
    return result