import threading
import time
from collections import defaultdict
from datetime import datetime, timedelta
from typing import Any, Dict
from src.common.logger import get_module_logger

from ...common.database import db

logger = get_module_logger("llm_statistics")


class LLMStatistics:
    def __init__(self, output_file: str = "llm_statistics.txt"):
        """初始化LLM统计类

        Args:
            output_file: 统计结果输出文件路径
        """
        self.output_file = output_file
        self.running = False
        self.stats_thread = None

    def start(self):
        """启动统计线程"""
        if not self.running:
            self.running = True
            self.stats_thread = threading.Thread(target=self._stats_loop)
            self.stats_thread.daemon = True
            self.stats_thread.start()

    def stop(self):
        """停止统计线程"""
        self.running = False
        if self.stats_thread:
            self.stats_thread.join()

    def _collect_statistics_for_period(self, start_time: datetime) -> Dict[str, Any]:
        """收集指定时间段的LLM请求统计数据

        Args:
            start_time: 统计开始时间
        """
        stats = {
            "total_requests": 0,
            "requests_by_type": defaultdict(int),
            "requests_by_user": defaultdict(int),
            "requests_by_model": defaultdict(int),
            "average_tokens": 0,
            "total_tokens": 0,
            "total_cost": 0.0,
            "costs_by_user": defaultdict(float),
            "costs_by_type": defaultdict(float),
            "costs_by_model": defaultdict(float),
            # 新增token统计字段
            "tokens_by_type": defaultdict(int),
            "tokens_by_user": defaultdict(int),
            "tokens_by_model": defaultdict(int),
        }

        cursor = db.llm_usage.find({"timestamp": {"$gte": start_time}})

        total_requests = 0

        for doc in cursor:
            stats["total_requests"] += 1
            request_type = doc.get("request_type", "unknown")
            user_id = str(doc.get("user_id", "unknown"))
            model_name = doc.get("model_name", "unknown")

            stats["requests_by_type"][request_type] += 1
            stats["requests_by_user"][user_id] += 1
            stats["requests_by_model"][model_name] += 1

            prompt_tokens = doc.get("prompt_tokens", 0)
            completion_tokens = doc.get("completion_tokens", 0)
            total_tokens = prompt_tokens + completion_tokens  # 根据数据库字段调整
            stats["tokens_by_type"][request_type] += total_tokens
            stats["tokens_by_user"][user_id] += total_tokens
            stats["tokens_by_model"][model_name] += total_tokens
            stats["total_tokens"] += total_tokens

            cost = doc.get("cost", 0.0)
            stats["total_cost"] += cost
            stats["costs_by_user"][user_id] += cost
            stats["costs_by_type"][request_type] += cost
            stats["costs_by_model"][model_name] += cost

            total_requests += 1

        if total_requests > 0:
            stats["average_tokens"] = stats["total_tokens"] / total_requests

        return stats

    def _collect_all_statistics(self) -> Dict[str, Dict[str, Any]]:
        """收集所有时间范围的统计数据"""
        now = datetime.now()

        return {
            "all_time": self._collect_statistics_for_period(datetime.min),
            "last_7_days": self._collect_statistics_for_period(now - timedelta(days=7)),
            "last_24_hours": self._collect_statistics_for_period(now - timedelta(days=1)),
            "last_hour": self._collect_statistics_for_period(now - timedelta(hours=1)),
        }

    def _format_stats_section(self, stats: Dict[str, Any], title: str) -> str:
        """格式化统计部分的输出"""
        output = []

        output.append("\n" + "-" * 84)
        output.append(f"{title}")
        output.append("-" * 84)

        output.append(f"总请求数: {stats['total_requests']}")
        if stats["total_requests"] > 0:
            output.append(f"总Token数: {stats['total_tokens']}")
            output.append(f"总花费: {stats['total_cost']:.4f}¥\n")

            data_fmt = "{:<32}  {:>10}  {:>14}  {:>13.4f} ¥"

            # 按模型统计
            output.append("按模型统计:")
            output.append(("模型名称                              调用次数       Token总量         累计花费"))
            for model_name, count in sorted(stats["requests_by_model"].items()):
                tokens = stats["tokens_by_model"][model_name]
                cost = stats["costs_by_model"][model_name]
                output.append(
                    data_fmt.format(model_name[:32] + ".." if len(model_name) > 32 else model_name, count, tokens, cost)
                )
            output.append("")

            # 按请求类型统计
            output.append("按请求类型统计:")
            output.append(("模型名称                              调用次数       Token总量         累计花费"))
            for req_type, count in sorted(stats["requests_by_type"].items()):
                tokens = stats["tokens_by_type"][req_type]
                cost = stats["costs_by_type"][req_type]
                output.append(
                    data_fmt.format(req_type[:22] + ".." if len(req_type) > 24 else req_type, count, tokens, cost)
                )
            output.append("")

            # 修正用户统计列宽
            output.append("按用户统计:")
            output.append(("模型名称                              调用次数       Token总量         累计花费"))
            for user_id, count in sorted(stats["requests_by_user"].items()):
                tokens = stats["tokens_by_user"][user_id]
                cost = stats["costs_by_user"][user_id]
                output.append(
                    data_fmt.format(
                        user_id[:22],  # 不再添加省略号，保持原始ID
                        count,
                        tokens,
                        cost,
                    )
                )

        return "\n".join(output)

    def _save_statistics(self, all_stats: Dict[str, Dict[str, Any]]):
        """将统计结果保存到文件"""
        current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")

        output = []
        output.append(f"LLM请求统计报告 (生成时间: {current_time})")

        # 添加各个时间段的统计
        sections = [
            ("所有时间统计", "all_time"),
            ("最近7天统计", "last_7_days"),
            ("最近24小时统计", "last_24_hours"),
            ("最近1小时统计", "last_hour"),
        ]

        for title, key in sections:
            output.append(self._format_stats_section(all_stats[key], title))

        # 写入文件
        with open(self.output_file, "w", encoding="utf-8") as f:
            f.write("\n".join(output))

    def _stats_loop(self):
        """统计循环，每1分钟运行一次"""
        while self.running:
            try:
                all_stats = self._collect_all_statistics()
                self._save_statistics(all_stats)
            except Exception:
                logger.exception("统计数据处理失败")

            # 等待1分钟
            for _ in range(60):
                if not self.running:
                    break
                time.sleep(1)