"""
結(jié)構(gòu)化日志系統(tǒng)實現(xiàn)
設(shè)計原則：
1. 結(jié)構(gòu)化優(yōu)先：所有日志輸出為結(jié)構(gòu)化格式
2. 上下文感知：自動捕獲和傳遞上下文
3. 性能友好：異步處理，最小化性能影響
4. 可擴展性：支持自定義處理器和格式器
5. 安全性：內(nèi)置敏感信息過濾
"""

import json
import logging
import sys
import time
import uuid
import inspect
import threading
from typing import Dict, Any, Optional, List, Union, Callable
from datetime import datetime
from enum import Enum
from dataclasses import dataclass, field, asdict
from abc import ABC, abstractmethod
from queue import Queue, Empty
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
import traceback
import hashlib
import zlib
from collections import defaultdict

# 類型別名
LogData = Dict[str, Any]
ContextDict = Dict[str, Any]


class LogLevel(Enum):
    """日志級別枚舉"""
    TRACE = 0      # 最詳細的跟蹤信息
    DEBUG = 1      # 調(diào)試信息
    INFO = 2       # 常規(guī)信息
    WARN = 3       # 警告信息
    ERROR = 4      # 錯誤信息
    FATAL = 5      # 嚴(yán)重錯誤
    
    @classmethod
    def from_string(cls, level_str: str) -> 'LogLevel':
        """從字符串轉(zhuǎn)換日志級別"""
        level_map = {
            'trace': cls.TRACE,
            'debug': cls.DEBUG,
            'info': cls.INFO,
            'warn': cls.WARN,
            'warning': cls.WARN,
            'error': cls.ERROR,
            'fatal': cls.FATAL,
            'critical': cls.FATAL
        }
        return level_map.get(level_str.lower(), cls.INFO)
    
    @classmethod
    def to_standard_level(cls, level: 'LogLevel') -> int:
        """轉(zhuǎn)換為標(biāo)準(zhǔn)logging級別"""
        mapping = {
            cls.TRACE: 5,      # 低于DEBUG
            cls.DEBUG: logging.DEBUG,
            cls.INFO: logging.INFO,
            cls.WARN: logging.WARNING,
            cls.ERROR: logging.ERROR,
            cls.FATAL: logging.CRITICAL
        }
        return mapping[level]


@dataclass
class LogRecord:
    """結(jié)構(gòu)化日志記錄"""
    
    # 基礎(chǔ)字段
    timestamp: str
    level: str
    message: str
    logger_name: str
    
    # 上下文字段
    trace_id: Optional[str] = None
    span_id: Optional[str] = None
    request_id: Optional[str] = None
    user_id: Optional[str] = None
    session_id: Optional[str] = None
    correlation_id: Optional[str] = None
    
    # 執(zhí)行上下文
    filename: Optional[str] = None
    function: Optional[str] = None
    line_no: Optional[int] = None
    thread_id: Optional[int] = None
    thread_name: Optional[str] = None
    process_id: Optional[int] = None
    
    # 應(yīng)用程序上下文
    app_name: Optional[str] = None
    app_version: Optional[str] = None
    environment: Optional[str] = None
    hostname: Optional[str] = None
    service_name: Optional[str] = None
    
    # 性能指標(biāo)
    duration_ms: Optional[float] = None
    memory_mb: Optional[float] = None
    cpu_percent: Optional[float] = None
    
    # 自定義字段
    extra: Dict[str, Any] = field(default_factory=dict)
    
    # 錯誤信息
    error_type: Optional[str] = None
    error_message: Optional[str] = None
    stack_trace: Optional[str] = None
    
    def to_dict(self) -> Dict[str, Any]:
        """轉(zhuǎn)換為字典"""
        result = asdict(self)
        
        # 移除None值以減小體積
        return {k: v for k, v in result.items() if v is not None}
    
    def to_json(self, indent: Optional[int] = None) -> str:
        """轉(zhuǎn)換為JSON字符串"""
        return json.dumps(self.to_dict(), indent=indent, ensure_ascii=False)
    
    def get_field_hash(self) -> str:
        """獲取字段內(nèi)容的哈希值（用于去重）"""
        # 排除一些動態(tài)字段
        excluded_fields = {'timestamp', 'duration_ms', 'memory_mb', 'cpu_percent'}
        data = {k: v for k, v in self.to_dict().items() 
                if k not in excluded_fields and v is not None}
        
        content = json.dumps(data, sort_keys=True, ensure_ascii=False)
        return hashlib.md5(content.encode()).hexdigest()
    
    def is_similar_to(self, other: 'LogRecord', threshold: float = 0.9) -> bool:
        """判斷兩個日志記錄是否相似（用于去重）"""
        if self.level != other.level:
            return False
        
        # 計算消息相似度（簡化的編輯距離）
        from difflib import SequenceMatcher
        message_similarity = SequenceMatcher(
            None, self.message, other.message
        ).ratio()
        
        return message_similarity >= threshold


class LogContext:
    """日志上下文管理器"""
    
    def __init__(self):
        # 線程本地存儲
        self._local = threading.local()
        self._global_context = {}
        self._context_stack = []
    
    @property
    def current(self) -> Dict[str, Any]:
        """獲取當(dāng)前上下文"""
        if not hasattr(self._local, 'context'):
            self._local.context = {}
        return self._local.context
    
    @current.setter
    def current(self, context: Dict[str, Any]):
        """設(shè)置當(dāng)前上下文"""
        self._local.context = context
    
    def get(self, key: str, default: Any = None) -> Any:
        """獲取上下文值"""
        return self.current.get(key, self._global_context.get(key, default))
    
    def set(self, key: str, value: Any, global_scope: bool = False):
        """設(shè)置上下文值"""
        if global_scope:
            self._global_context[key] = value
        else:
            self.current[key] = value
    
    def update(self, data: Dict[str, Any], global_scope: bool = False):
        """批量更新上下文"""
        if global_scope:
            self._global_context.update(data)
        else:
            self.current.update(data)
    
    def clear(self):
        """清除當(dāng)前線程上下文"""
        if hasattr(self._local, 'context'):
            self._local.context.clear()
    
    def push_context(self, context: Dict[str, Any]):
        """壓入新的上下文層"""
        if not hasattr(self._local, 'context_stack'):
            self._local.context_stack = []
        
        # 保存當(dāng)前上下文
        current_copy = self.current.copy()
        self._local.context_stack.append(current_copy)
        
        # 更新為新上下文（合并）
        new_context = current_copy.copy()
        new_context.update(context)
        self.current = new_context
    
    def pop_context(self) -> Dict[str, Any]:
        """彈出上下文層"""
        if not hasattr(self._local, 'context_stack') or not self._local.context_stack:
            old_context = self.current.copy()
            self.clear()
            return old_context
        
        old_context = self.current
        self.current = self._local.context_stack.pop()
        return old_context
    
    def context_manager(self, **kwargs):
        """上下文管理器"""
        return LogContextManager(self, kwargs)
    
    def get_all_context(self) -> Dict[str, Any]:
        """獲取所有上下文（包括全局）"""
        result = self._global_context.copy()
        result.update(self.current)
        return result


class LogContextManager:
    """上下文管理器"""
    
    def __init__(self, log_context: LogContext, context_data: Dict[str, Any]):
        self.log_context = log_context
        self.context_data = context_data
    
    def __enter__(self):
        self.log_context.push_context(self.context_data)
        return self
    
    def __exit__(self, exc_type, exc_val, exc_tb):
        self.log_context.pop_context()


class StructuredFormatter(ABC):
    """結(jié)構(gòu)化日志格式化器抽象基類"""
    
    @abstractmethod
    def format(self, record: LogRecord) -> str:
        """格式化日志記錄"""
        pass


class JSONFormatter(StructuredFormatter):
    """JSON格式化器"""
    
    def __init__(
        self,
        indent: Optional[int] = None,
        ensure_ascii: bool = False,
        sort_keys: bool = False,
        include_metadata: bool = True
    ):
        self.indent = indent
        self.ensure_ascii = ensure_ascii
        self.sort_keys = sort_keys
        self.include_metadata = include_metadata
    
    def format(self, record: LogRecord) -> str:
        """格式化為JSON"""
        data = record.to_dict()
        
        # 添加格式化元數(shù)據(jù)
        if self.include_metadata:
            data['_metadata'] = {
                'format_version': '1.0',
                'formatter': 'json',
                'timestamp_ns': time.time_ns()
            }
        
        return json.dumps(
            data,
            indent=self.indent,
            ensure_ascii=self.ensure_ascii,
            sort_keys=self.sort_keys
        )


class NDJSONFormatter(StructuredFormatter):
    """NDJSON格式化器（每行一個JSON）"""
    
    def __init__(self, **kwargs):
        self.json_formatter = JSONFormatter(**kwargs)
    
    def format(self, record: LogRecord) -> str:
        """格式化為NDJSON"""
        return self.json_formatter.format(record)


class LogFilter(ABC):
    """日志過濾器抽象基類"""
    
    @abstractmethod
    def filter(self, record: LogRecord) -> bool:
        """過濾日志記錄，返回True表示保留"""
        pass


class LevelFilter(LogFilter):
    """級別過濾器"""
    
    def __init__(self, min_level: LogLevel):
        self.min_level = min_level
    
    def filter(self, record: LogRecord) -> bool:
        """根據(jù)級別過濾"""
        record_level = LogLevel.from_string(record.level)
        return record_level.value >= self.min_level.value


class RateLimitFilter(LogFilter):
    """速率限制過濾器"""
    
    def __init__(self, max_per_second: int = 10, window_seconds: int = 1):
        self.max_per_second = max_per_second
        self.window_seconds = window_seconds
        self.log_counts = defaultdict(int)
        self.window_start = time.time()
    
    def filter(self, record: LogRecord) -> bool:
        """速率限制"""
        current_time = time.time()
        
        # 檢查是否需要重置窗口
        if current_time - self.window_start >= self.window_seconds:
            self.log_counts.clear()
            self.window_start = current_time
        
        # 獲取日志哈希作為鍵
        log_key = record.get_field_hash()
        current_count = self.log_counts[log_key]
        
        if current_count < self.max_per_second:
            self.log_counts[log_key] = current_count + 1
            return True
        
        return False


class SensitiveDataFilter(LogFilter):
    """敏感數(shù)據(jù)過濾器"""
    
    def __init__(self):
        # 敏感數(shù)據(jù)模式（可以擴展）
        self.sensitive_patterns = [
            r'(?i)(password|passwd|pwd)[=:]\s*["\']?([^"\'\s]+)["\']?',
            r'(?i)(api[_-]?key|secret[_-]?key)[=:]\s*["\']?([^"\'\s]+)["\']?',
            r'(?i)(token)[=:]\s*["\']?([^"\'\s]+)["\']?',
            r'(?i)(credit[_-]?card|cc)[=:]\s*["\']?(\d[ -]*?){13,16}["\']?',
            r'\b\d{3}[-.]?\d{3}[-.]?\d{4}\b',  # 電話號碼
            r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b',  # 郵箱
        ]
        
        self.compiled_patterns = [re.compile(pattern) for pattern in self.sensitive_patterns]
    
    def filter(self, record: LogRecord) -> bool:
        """過濾敏感信息"""
        # 對消息進行脫敏
        record.message = self._mask_sensitive_data(record.message)
        
        # 對extra字段進行脫敏
        for key, value in record.extra.items():
            if isinstance(value, str):
                record.extra[key] = self._mask_sensitive_data(value)
        
        return True
    
    def _mask_sensitive_data(self, text: str) -> str:
        """脫敏文本中的敏感信息"""
        if not isinstance(text, str):
            return text
        
        masked_text = text
        
        for pattern in self.compiled_patterns:
            masked_text = pattern.sub(self._mask_replacer, masked_text)
        
        return masked_text
    
    def _mask_replacer(self, match) -> str:
        """替換匹配的敏感信息"""
        full_match = match.group(0)
        
        # 根據(jù)匹配內(nèi)容決定脫敏策略
        if '@' in full_match:  # 郵箱
            parts = full_match.split('@')
            if len(parts[0]) > 2:
                return parts[0][:2] + '***@' + parts[1]
            else:
                return '***@' + parts[1]
        elif any(keyword in full_match.lower() for keyword in ['password', 'passwd', 'pwd']):
            return 'password=***'
        elif any(keyword in full_match.lower() for keyword in ['key', 'token', 'secret']):
            return match.group(1) + '=***'
        elif re.match(r'\d', full_match.replace('-', '').replace(' ', '')):
            # 數(shù)字類型（信用卡、電話等）
            digits = re.sub(r'[^\d]', '', full_match)
            if 10 <= len(digits) <= 16:
                return digits[:4] + '*' * (len(digits) - 8) + digits[-4:]
        
        return '***'

class LogHandler(ABC):
    """日志處理器抽象基類"""
    
    def __init__(
        self,
        level: LogLevel = LogLevel.INFO,
        formatter: Optional[StructuredFormatter] = None,
        filters: Optional[List[LogFilter]] = None
    ):
        self.level = level
        self.formatter = formatter or JSONFormatter()
        self.filters = filters or []
        
        # 性能統(tǒng)計
        self.processed_count = 0
        self.dropped_count = 0
        self.start_time = time.time()
    
    @abstractmethod
    def emit(self, record: LogRecord):
        """輸出日志記錄"""
        pass
    
    def handle(self, record: LogRecord) -> bool:
        """處理日志記錄"""
        
        # 檢查級別
        record_level = LogLevel.from_string(record.level)
        if record_level.value < self.level.value:
            self.dropped_count += 1
            return False
        
        # 應(yīng)用過濾器
        for filter_obj in self.filters:
            if not filter_obj.filter(record):
                self.dropped_count += 1
                return False
        
        # 格式化
        formatted = self.formatter.format(record)
        
        # 輸出
        try:
            self.emit(record)
            self.processed_count += 1
            return True
        except Exception as e:
            # 處理器錯誤處理
            print(f"日志處理器錯誤: {e}")
            self.dropped_count += 1
            return False
    
    def get_stats(self) -> Dict[str, Any]:
        """獲取處理器統(tǒng)計信息"""
        uptime = time.time() - self.start_time
        return {
            'processed': self.processed_count,
            'dropped': self.dropped_count,
            'uptime_seconds': uptime,
            'rate_per_second': self.processed_count / max(uptime, 0.001),
            'handler_type': self.__class__.__name__
        }


class ConsoleHandler(LogHandler):
    """控制臺處理器"""
    
    def __init__(
        self,
        level: LogLevel = LogLevel.INFO,
        formatter: Optional[StructuredFormatter] = None,
        output_stream: Any = sys.stdout,
        use_colors: bool = True
    ):
        super().__init__(level, formatter)
        self.output_stream = output_stream
        self.use_colors = use_colors
        
        # 顏色映射
        self.color_map = {
            'TRACE': '\033[90m',    # 灰色
            'DEBUG': '\033[36m',    # 青色
            'INFO': '\033[32m',     # 綠色
            'WARN': '\033[33m',     # 黃色
            'ERROR': '\033[31m',    # 紅色
            'FATAL': '\033[41m\033[37m',  # 紅底白字
            'RESET': '\033[0m'      # 重置
        }
    
    def emit(self, record: LogRecord):
        """輸出到控制臺"""
        formatted = self.formatter.format(record)
        
        if self.use_colors:
            color = self.color_map.get(record.level.upper(), '')
            reset = self.color_map['RESET']
            output = f"{color}{formatted}{reset}"
        else:
            output = formatted
        
        print(output, file=self.output_stream)


class FileHandler(LogHandler):
    """文件處理器"""
    
    def __init__(
        self,
        filename: Union[str, Path],
        level: LogLevel = LogLevel.INFO,
        formatter: Optional[StructuredFormatter] = None,
        mode: str = 'a',
        encoding: str = 'utf-8',
        buffering: int = 1  # 行緩沖
    ):
        super().__init__(level, formatter)
        self.filename = Path(filename)
        self.mode = mode
        self.encoding = encoding
        self.buffering = buffering
        
        # 確保目錄存在
        self.filename.parent.mkdir(parents=True, exist_ok=True)
        
        # 打開文件
        self._open_file()
    
    def _open_file(self):
        """打開文件"""
        self.file = open(
            self.filename,
            mode=self.mode,
            encoding=self.encoding,
            buffering=self.buffering
        )
    
    def emit(self, record: LogRecord):
        """輸出到文件"""
        formatted = self.formatter.format(record)
        self.file.write(formatted + '\n')
        self.file.flush()
    
    def close(self):
        """關(guān)閉文件"""
        if hasattr(self, 'file') and self.file:
            self.file.close()
    
    def rotate(self, max_size_mb: float = 100, backup_count: int = 5):
        """日志輪轉(zhuǎn)"""
        if not self.filename.exists():
            return
        
        file_size_mb = self.filename.stat().st_size / (1024 * 1024)
        
        if file_size_mb < max_size_mb:
            return
        
        # 關(guān)閉當(dāng)前文件
        self.close()
        
        # 重命名舊文件
        for i in range(backup_count - 1, 0, -1):
            old_file = self.filename.with_suffix(f".{i}.log")
            new_file = self.filename.with_suffix(f".{i+1}.log")
            
            if old_file.exists():
                old_file.rename(new_file)
        
        # 重命名當(dāng)前文件
        current_backup = self.filename.with_suffix(".1.log")
        self.filename.rename(current_backup)
        
        # 重新打開文件
        self._open_file()


class RotatingFileHandler(FileHandler):
    """自動輪轉(zhuǎn)的文件處理器"""
    
    def __init__(
        self,
        filename: Union[str, Path],
        level: LogLevel = LogLevel.INFO,
        formatter: Optional[StructuredFormatter] = None,
        max_size_mb: float = 100,
        backup_count: int = 5,
        check_interval: int = 10  # 檢查間隔（處理的日志條數(shù)）
    ):
        super().__init__(filename, level, formatter)
        self.max_size_mb = max_size_mb
        self.backup_count = backup_count
        self.check_interval = check_interval
        self.processed_since_check = 0
    
    def handle(self, record: LogRecord) -> bool:
        """處理日志記錄（添加輪轉(zhuǎn)檢查）"""
        self.processed_since_check += 1
        
        if self.processed_since_check >= self.check_interval:
            self.rotate(self.max_size_mb, self.backup_count)
            self.processed_since_check = 0
        
        return super().handle(record)


class AsyncHandler(LogHandler):
    """異步處理器"""
    
    def __init__(
        self,
        base_handler: LogHandler,
        max_queue_size: int = 10000,
        worker_count: int = 1,
        drop_when_full: bool = False
    ):
        super().__init__(base_handler.level, base_handler.formatter, base_handler.filters)
        self.base_handler = base_handler
        
        # 隊列設(shè)置
        self.max_queue_size = max_queue_size
        self.queue = Queue(maxsize=max_queue_size)
        self.drop_when_full = drop_when_full
        
        # 工作線程
        self.worker_count = worker_count
        self.executor = ThreadPoolExecutor(
            max_workers=worker_count,
            thread_name_prefix="AsyncLogger"
        )
        
        # 啟動消費者
        self.running = True
        for i in range(worker_count):
            self.executor.submit(self._worker_loop)
    
    def emit(self, record: LogRecord):
        """異步處理日志記錄"""
        try:
            if self.drop_when_full and self.queue.full():
                self.dropped_count += 1
                return
            
            self.queue.put_nowait(record)
            
        except Exception as e:
            # 隊列滿或其他錯誤
            self.dropped_count += 1
            print(f"異步日志隊列錯誤: {e}")
    
    def _worker_loop(self):
        """工作線程循環(huán)"""
        while self.running:
            try:
                # 阻塞獲取日志記錄（帶超時）
                try:
                    record = self.queue.get(timeout=1.0)
                except Empty:
                    continue
                
                # 使用基礎(chǔ)處理器處理
                self.base_handler.handle(record)
                
                # 標(biāo)記任務(wù)完成
                self.queue.task_done()
                
            except Exception as e:
                print(f"異步日志工作線程錯誤: {e}")
    
    def shutdown(self, timeout: float = 5.0):
        """關(guān)閉異步處理器"""
        self.running = False
        
        # 等待隊列清空
        self.queue.join()
        
        # 關(guān)閉執(zhí)行器
        self.executor.shutdown(wait=True, timeout=timeout)
        
        # 關(guān)閉基礎(chǔ)處理器
        if hasattr(self.base_handler, 'close'):
            self.base_handler.close()
    
    def get_stats(self) -> Dict[str, Any]:
        """獲取統(tǒng)計信息（包括隊列信息）"""
        base_stats = super().get_stats()
        base_stats.update({
            'queue_size': self.queue.qsize(),
            'queue_max_size': self.max_queue_size,
            'queue_full': self.queue.full(),
            'worker_count': self.worker_count,
            'is_running': self.running,
            'base_handler_stats': self.base_handler.get_stats()
        })
        return base_stats


class BatchHandler(LogHandler):
    """批量處理器"""
    
    def __init__(
        self,
        base_handler: LogHandler,
        batch_size: int = 100,
        flush_interval: float = 1.0,  # 秒
        compression: bool = False
    ):
        super().__init__(base_handler.level, base_handler.formatter, base_handler.filters)
        self.base_handler = base_handler
        self.batch_size = batch_size
        self.flush_interval = flush_interval
        self.compression = compression
        
        # 批處理緩沖區(qū)
        self.buffer: List[LogRecord] = []
        self.last_flush_time = time.time()
        
        # 啟動定時刷新線程
        self.flush_thread = threading.Thread(target=self._flush_loop, daemon=True)
        self.running = True
        self.flush_thread.start()
    
    def emit(self, record: LogRecord):
        """添加到批處理緩沖區(qū)"""
        self.buffer.append(record)
        
        # 檢查是否需要刷新
        if (len(self.buffer) >= self.batch_size or 
            (time.time() - self.last_flush_time) >= self.flush_interval):
            self._flush_buffer()
    
    def _flush_buffer(self):
        """刷新緩沖區(qū)"""
        if not self.buffer:
            return
        
        # 準(zhǔn)備批量數(shù)據(jù)
        batch_records = self.buffer.copy()
        self.buffer.clear()
        
        try:
            # 批量處理
            if self.compression:
                # 壓縮批量數(shù)據(jù)
                batch_data = self._compress_batch(batch_records)
                # 這里需要基礎(chǔ)處理器支持批量數(shù)據(jù)
                # 簡化實現(xiàn)：逐個處理
                for record in batch_records:
                    self.base_handler.handle(record)
            else:
                for record in batch_records:
                    self.base_handler.handle(record)
            
            self.last_flush_time = time.time()
            
        except Exception as e:
            print(f"批量日志處理錯誤: {e}")
            # 錯誤處理：將記錄放回緩沖區(qū)（避免丟失）
            self.buffer.extend(batch_records)
    
    def _compress_batch(self, records: List[LogRecord]) -> bytes:
        """壓縮批量數(shù)據(jù)"""
        batch_json = json.dumps([r.to_dict() for r in records])
        return zlib.compress(batch_json.encode())
    
    def _flush_loop(self):
        """定時刷新循環(huán)"""
        while self.running:
            time.sleep(self.flush_interval)
            self._flush_buffer()
    
    def shutdown(self):
        """關(guān)閉批量處理器"""
        self.running = False
        self._flush_buffer()  # 最后一次刷新
        
        if self.flush_thread.is_alive():
            self.flush_thread.join(timeout=2.0)
        
        if hasattr(self.base_handler, 'shutdown'):
            self.base_handler.shutdown()
    
    def get_stats(self) -> Dict[str, Any]:
        """獲取統(tǒng)計信息"""
        base_stats = super().get_stats()
        base_stats.update({
            'buffer_size': len(self.buffer),
            'batch_size': self.batch_size,
            'flush_interval': self.flush_interval,
            'compression_enabled': self.compression,
            'base_handler_stats': self.base_handler.get_stats()
        })
        return base_stats

class StructuredLogger:
    """結(jié)構(gòu)化日志記錄器"""
    
    def __init__(
        self,
        name: str,
        level: LogLevel = LogLevel.INFO,
        handlers: Optional[List[LogHandler]] = None,
        context: Optional[LogContext] = None,
        capture_stacktrace: bool = False,
        enable_performance_stats: bool = False
    ):
        self.name = name
        self.level = level
        self.handlers = handlers or []
        self.context = context or LogContext()
        self.capture_stacktrace = capture_stacktrace
        self.enable_performance_stats = enable_performance_stats
        
        # 性能統(tǒng)計
        self.stats = {
            'log_count': defaultdict(int),
            'last_log_time': None,
            'total_log_time_ns': 0,
            'error_count': 0
        }
        
        # 緩存調(diào)用者信息（性能優(yōu)化）
        self._caller_cache = {}
    
    def _get_caller_info(self, depth: int = 3) -> Dict[str, Any]:
        """獲取調(diào)用者信息"""
        try:
            # 使用緩存提高性能
            cache_key = threading.get_ident()
            if cache_key in self._caller_cache:
                return self._caller_cache[cache_key]
            
            # 獲取調(diào)用堆棧
            frame = inspect.currentframe()
            for _ in range(depth):
                if frame is None:
                    break
                frame = frame.f_back
            
            if frame is None:
                return {}
            
            # 提取信息
            info = {
                'filename': frame.f_code.co_filename,
                'function': frame.f_code.co_name,
                'line_no': frame.f_lineno,
                'module': frame.f_globals.get('__name__', '')
            }
            
            # 緩存
            self._caller_cache[cache_key] = info
            return info
            
        except Exception:
            return {}
        finally:
            # 清理引用
            del frame
    
    def _create_record(
        self,
        level: LogLevel,
        message: str,
        extra: Optional[Dict[str, Any]] = None,
        error_info: Optional[Dict[str, Any]] = None
    ) -> LogRecord:
        """創(chuàng)建日志記錄"""
        
        # 基礎(chǔ)時間
        now = datetime.utcnow()
        
        # 調(diào)用者信息
        caller_info = self._get_caller_info() if self.capture_stacktrace else {}
        
        # 構(gòu)建記錄
        record = LogRecord(
            timestamp=now.isoformat() + 'Z',
            level=level.name,
            message=message,
            logger_name=self.name,
            **caller_info
        )
        
        # 添加線程信息
        record.thread_id = threading.get_ident()
        record.thread_name = threading.current_thread().name
        record.process_id = os.getpid()
        
        # 添加上下文
        context_data = self.context.get_all_context()
        for key, value in context_data.items():
            if hasattr(record, key):
                setattr(record, key, value)
            else:
                record.extra[key] = value
        
        # 添加額外字段
        if extra:
            record.extra.update(extra)
        
        # 添加錯誤信息
        if error_info:
            record.error_type = error_info.get('type')
            record.error_message = error_info.get('message')
            record.stack_trace = error_info.get('stack_trace')
        
        return record
    
    def log(
        self,
        level: LogLevel,
        message: str,
        extra: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        """記錄日志"""
        
        start_time = time.time_ns() if self.enable_performance_stats else 0
        
        try:
            # 檢查級別
            if level.value < self.level.value:
                return
            
            # 合并額外字段
            all_extra = extra.copy() if extra else {}
            all_extra.update(kwargs)
            
            # 錯誤信息處理
            error_info = None
            if 'exc_info' in kwargs and kwargs['exc_info']:
                exc_type, exc_value, exc_traceback = kwargs['exc_info']
                if exc_type:
                    error_info = {
                        'type': exc_type.__name__,
                        'message': str(exc_value),
                        'stack_trace': traceback.format_exc()
                    }
            
            # 創(chuàng)建記錄
            record = self._create_record(level, message, all_extra, error_info)
            
            # 處理記錄
            for handler in self.handlers:
                handler.handle(record)
            
            # 更新統(tǒng)計
            self.stats['log_count'][level.name] += 1
            self.stats['last_log_time'] = record.timestamp
            
            if level == LogLevel.ERROR or level == LogLevel.FATAL:
                self.stats['error_count'] += 1
            
        except Exception as e:
            # 記錄器內(nèi)部錯誤處理
            print(f"日志記錄錯誤: {e}")
            self.stats['error_count'] += 1
        
        finally:
            # 性能統(tǒng)計
            if self.enable_performance_stats and start_time:
                duration_ns = time.time_ns() - start_time
                self.stats['total_log_time_ns'] += duration_ns
    
    # 便捷方法
    def trace(self, message: str, **kwargs):
        """記錄TRACE級別日志"""
        self.log(LogLevel.TRACE, message, **kwargs)
    
    def debug(self, message: str, **kwargs):
        """記錄DEBUG級別日志"""
        self.log(LogLevel.DEBUG, message, **kwargs)
    
    def info(self, message: str, **kwargs):
        """記錄INFO級別日志"""
        self.log(LogLevel.INFO, message, **kwargs)
    
    def warn(self, message: str, **kwargs):
        """記錄WARN級別日志"""
        self.log(LogLevel.WARN, message, **kwargs)
    
    def error(self, message: str, **kwargs):
        """記錄ERROR級別日志"""
        self.log(LogLevel.ERROR, message, **kwargs)
    
    def fatal(self, message: str, **kwargs):
        """記錄FATAL級別日志"""
        self.log(LogLevel.FATAL, message, **kwargs)
    
    def exception(self, message: str, exc: Optional[Exception] = None, **kwargs):
        """記錄異常"""
        if exc is None:
            # 捕獲當(dāng)前異常
            exc_info = sys.exc_info()
        else:
            exc_info = (type(exc), exc, exc.__traceback__)
        
        kwargs['exc_info'] = exc_info
        self.log(LogLevel.ERROR, message, **kwargs)
    
    def with_context(self, **kwargs):
        """添加上下文"""
        return LogContextManager(self.context, kwargs)
    
    def add_handler(self, handler: LogHandler):
        """添加處理器"""
        self.handlers.append(handler)
    
    def remove_handler(self, handler: LogHandler):
        """移除處理器"""
        if handler in self.handlers:
            self.handlers.remove(handler)
    
    def get_stats(self) -> Dict[str, Any]:
        """獲取統(tǒng)計信息"""
        handler_stats = [h.get_stats() for h in self.handlers]
        
        stats = {
            'logger_name': self.name,
            'level': self.level.name,
            'handler_count': len(self.handlers),
            'log_counts': dict(self.stats['log_count']),
            'error_count': self.stats['error_count'],
            'handler_stats': handler_stats
        }
        
        if self.enable_performance_stats:
            total_logs = sum(self.stats['log_count'].values())
            if total_logs > 0:
                avg_time_ns = self.stats['total_log_time_ns'] / total_logs
                stats['performance'] = {
                    'total_time_ns': self.stats['total_log_time_ns'],
                    'avg_time_ns': avg_time_ns,
                    'avg_time_ms': avg_time_ns / 1_000_000
                }
        
        return stats


class LogManager:
    """日志管理器"""
    
    _instance = None
    _lock = threading.Lock()
    
    def __new__(cls):
        with cls._lock:
            if cls._instance is None:
                cls._instance = super().__new__(cls)
                cls._instance._initialized = False
            return cls._instance
    
    def __init__(self):
        if self._initialized:
            return
        
        self._loggers: Dict[str, StructuredLogger] = {}
        self._default_config: Dict[str, Any] = {}
        self._global_context = LogContext()
        self._initialized = True
        
        # 默認配置
        self._setup_defaults()
    
    def _setup_defaults(self):
        """設(shè)置默認配置"""
        self._default_config = {
            'level': LogLevel.INFO,
            'handlers': [
                ConsoleHandler(
                    level=LogLevel.INFO,
                    formatter=JSONFormatter(indent=None)
                )
            ],
            'capture_stacktrace': False,
            'enable_performance_stats': False
        }
        
        # 設(shè)置全局上下文
        import socket
        self._global_context.set('hostname', socket.gethostname(), global_scope=True)
        self._global_context.set('process_id', os.getpid(), global_scope=True)
    
    def get_logger(
        self,
        name: str,
        level: Optional[LogLevel] = None,
        handlers: Optional[List[LogHandler]] = None,
        capture_stacktrace: Optional[bool] = None,
        enable_performance_stats: Optional[bool] = None
    ) -> StructuredLogger:
        """獲取或創(chuàng)建日志記錄器"""
        
        if name in self._loggers:
            return self._loggers[name]
        
        # 使用配置或默認值
        config = self._default_config.copy()
        
        if level is not None:
            config['level'] = level
        if handlers is not None:
            config['handlers'] = handlers
        if capture_stacktrace is not None:
            config['capture_stacktrace'] = capture_stacktrace
        if enable_performance_stats is not None:
            config['enable_performance_stats'] = enable_performance_stats
        
        # 創(chuàng)建日志記錄器
        logger = StructuredLogger(
            name=name,
            context=self._global_context,
            **config
        )
        
        self._loggers[name] = logger
        return logger
    
    def configure(
        self,
        config: Dict[str, Any],
        name: Optional[str] = None
    ):
        """配置日志記錄器"""
        
        if name:
            # 配置特定記錄器
            if name in self._loggers:
                logger = self._loggers[name]
                
                if 'level' in config:
                    logger.level = LogLevel.from_string(config['level'])
                
                if 'handlers' in config:
                    # 這里需要根據(jù)配置創(chuàng)建處理器
                    logger.handlers = self._create_handlers_from_config(config['handlers'])
                
                if 'capture_stacktrace' in config:
                    logger.capture_stacktrace = config['capture_stacktrace']
                
                if 'enable_performance_stats' in config:
                    logger.enable_performance_stats = config['enable_performance_stats']
        
        else:
            # 更新默認配置
            self._default_config.update(config)
            
            # 更新現(xiàn)有記錄器
            for logger in self._loggers.values():
                self.configure(config, logger.name)
    
    def _create_handlers_from_config(self, handlers_config: List[Dict]) -> List[LogHandler]:
        """從配置創(chuàng)建處理器"""
        handlers = []
        
        for handler_config in handlers_config:
            handler_type = handler_config.get('type', 'console')
            
            try:
                if handler_type == 'console':
                    handler = ConsoleHandler(
                        level=LogLevel.from_string(handler_config.get('level', 'info')),
                        formatter=self._create_formatter_from_config(
                            handler_config.get('formatter', {})
                        ),
                        use_colors=handler_config.get('use_colors', True)
                    )
                
                elif handler_type == 'file':
                    handler = FileHandler(
                        filename=handler_config['filename'],
                        level=LogLevel.from_string(handler_config.get('level', 'info')),
                        formatter=self._create_formatter_from_config(
                            handler_config.get('formatter', {})
                        )
                    )
                
                elif handler_type == 'rotating_file':
                    handler = RotatingFileHandler(
                        filename=handler_config['filename'],
                        level=LogLevel.from_string(handler_config.get('level', 'info')),
                        formatter=self._create_formatter_from_config(
                            handler_config.get('formatter', {})
                        ),
                        max_size_mb=handler_config.get('max_size_mb', 100),
                        backup_count=handler_config.get('backup_count', 5)
                    )
                
                elif handler_type == 'async':
                    base_handler_config = handler_config.get('base_handler', {})
                    base_handler = self._create_handlers_from_config([base_handler_config])[0]
                    
                    handler = AsyncHandler(
                        base_handler=base_handler,
                        max_queue_size=handler_config.get('max_queue_size', 10000),
                        worker_count=handler_config.get('worker_count', 1),
                        drop_when_full=handler_config.get('drop_when_full', False)
                    )
                
                else:
                    raise ValueError(f"未知的處理器類型: {handler_type}")
                
                # 添加過濾器
                filters_config = handler_config.get('filters', [])
                for filter_config in filters_config:
                    filter_type = filter_config.get('type', 'level')
                    
                    if filter_type == 'level':
                        handler.filters.append(LevelFilter(
                            LogLevel.from_string(filter_config.get('min_level', 'info'))
                        ))
                    elif filter_type == 'rate_limit':
                        handler.filters.append(RateLimitFilter(
                            max_per_second=filter_config.get('max_per_second', 10),
                            window_seconds=filter_config.get('window_seconds', 1)
                        ))
                    elif filter_type == 'sensitive_data':
                        handler.filters.append(SensitiveDataFilter())
                
                handlers.append(handler)
                
            except Exception as e:
                print(f"創(chuàng)建處理器失敗 {handler_type}: {e}")
                continue
        
        return handlers
    
    def _create_formatter_from_config(self, formatter_config: Dict) -> StructuredFormatter:
        """從配置創(chuàng)建格式化器"""
        formatter_type = formatter_config.get('type', 'json')
        
        if formatter_type == 'json':
            return JSONFormatter(
                indent=formatter_config.get('indent'),
                ensure_ascii=formatter_config.get('ensure_ascii', False),
                sort_keys=formatter_config.get('sort_keys', False)
            )
        elif formatter_type == 'ndjson':
            return NDJSONFormatter(
                indent=formatter_config.get('indent'),
                ensure_ascii=formatter_config.get('ensure_ascii', False),
                sort_keys=formatter_config.get('sort_keys', False)
            )
        else:
            # 默認使用JSON
            return JSONFormatter()
    
    def set_global_context(self, **kwargs):
        """設(shè)置全局上下文"""
        self._global_context.update(kwargs, global_scope=True)
    
    def get_global_context(self) -> Dict[str, Any]:
        """獲取全局上下文"""
        return self._global_context.get_all_context()
    
    def shutdown(self):
        """關(guān)閉所有日志記錄器"""
        for logger in self._loggers.values():
            for handler in logger.handlers:
                if hasattr(handler, 'shutdown'):
                    handler.shutdown()
                elif hasattr(handler, 'close'):
                    handler.close()
        
        self._loggers.clear()
    
    def get_all_stats(self) -> Dict[str, Any]:
        """獲取所有統(tǒng)計信息"""
        logger_stats = {}
        total_logs = 0
        total_errors = 0
        
        for name, logger in self._loggers.items():
            stats = logger.get_stats()
            logger_stats[name] = stats
            
            total_logs += sum(stats['log_counts'].values())
            total_errors += stats['error_count']
        
        return {
            'logger_count': len(self._loggers),
            'total_logs': total_logs,
            'total_errors': total_errors,
            'loggers': logger_stats,
            'global_context': self.get_global_context()
        }

class DistributedTraceContext:
    """分布式追蹤上下文"""
    
    def __init__(self):
        self._local = threading.local()
    
    @property
    def current(self) -> Dict[str, Any]:
        """獲取當(dāng)前追蹤上下文"""
        if not hasattr(self._local, 'trace_context'):
            self._local.trace_context = self._generate_new_context()
        return self._local.trace_context
    
    def _generate_new_context(self) -> Dict[str, Any]:
        """生成新的追蹤上下文"""
        return {
            'trace_id': self._generate_trace_id(),
            'span_id': self._generate_span_id(),
            'parent_span_id': None,
            'sampled': True,
            'flags': 0
        }
    
    def _generate_trace_id(self) -> str:
        """生成追蹤ID"""
        return uuid.uuid4().hex
    
    def _generate_span_id(self) -> str:
        """生成跨度ID"""
        return uuid.uuid4().hex[:16]
    
    def start_span(self, name: str, **attributes) -> 'Span':
        """開始新的跨度"""
        parent_context = self.current.copy()
        
        new_context = parent_context.copy()
        new_context['span_id'] = self._generate_span_id()
        new_context['parent_span_id'] = parent_context['span_id']
        new_context['span_name'] = name
        new_context['start_time'] = time.time_ns()
        new_context['attributes'] = attributes
        
        # 保存父上下文
        if not hasattr(self._local, 'trace_stack'):
            self._local.trace_stack = []
        self._local.trace_stack.append(parent_context)
        
        # 設(shè)置新上下文
        self._local.trace_context = new_context
        
        return Span(self, new_context)
    
    def end_span(self, context: Dict[str, Any], status: str = "OK", **attributes):
        """結(jié)束跨度"""
        if not hasattr(self._local, 'trace_stack') or not self._local.trace_stack:
            return
        
        # 計算持續(xù)時間
        end_time = time.time_ns()
        start_time = context.get('start_time', end_time)
        duration_ns = end_time - start_time
        
        # 創(chuàng)建跨度記錄
        span_record = {
            'trace_id': context.get('trace_id'),
            'span_id': context.get('span_id'),
            'parent_span_id': context.get('parent_span_id'),
            'name': context.get('span_name', 'unknown'),
            'start_time': start_time,
            'end_time': end_time,
            'duration_ns': duration_ns,
            'status': status,
            'attributes': {**context.get('attributes', {}), **attributes}
        }
        
        # 恢復(fù)父上下文
        self._local.trace_context = self._local.trace_stack.pop()
        
        return span_record
    
    def get_current_span_id(self) -> Optional[str]:
        """獲取當(dāng)前跨度ID"""
        return self.current.get('span_id')
    
    def get_current_trace_id(self) -> Optional[str]:
        """獲取當(dāng)前追蹤ID"""
        return self.current.get('trace_id')


class Span:
    """追蹤跨度"""
    
    def __init__(self, tracer: DistributedTraceContext, context: Dict[str, Any]):
        self.tracer = tracer
        self.context = context
    
    def __enter__(self):
        return self
    
    def __exit__(self, exc_type, exc_val, exc_tb):
        status = "ERROR" if exc_type else "OK"
        self.tracer.end_span(self.context, status)
    
    def set_attribute(self, key: str, value: Any):
        """設(shè)置跨度屬性"""
        if 'attributes' not in self.context:
            self.context['attributes'] = {}
        self.context['attributes'][key] = value
    
    def set_status(self, status: str):
        """設(shè)置跨度狀態(tài)"""
        self.context['status'] = status


class TracingLogger(StructuredLogger):
    """集成追蹤的日志記錄器"""
    
    def __init__(
        self,
        name: str,
        tracer: Optional[DistributedTraceContext] = None,
        **kwargs
    ):
        super().__init__(name, **kwargs)
        self.tracer = tracer or DistributedTraceContext()
        
        # 自動添加上下文
        self.context.set('tracer', self.tracer)
    
    def _create_record(self, *args, **kwargs) -> LogRecord:
        """創(chuàng)建記錄（添加追蹤信息）"""
        record = super()._create_record(*args, **kwargs)
        
        # 添加追蹤信息
        record.trace_id = self.tracer.get_current_trace_id()
        record.span_id = self.tracer.get_current_span_id()
        
        return record
    
    def trace_span(self, name: str, **attributes):
        """創(chuàng)建追蹤跨度上下文管理器"""
        return self.tracer.start_span(name, **attributes)
    
    def log_with_span(
        self,
        level: LogLevel,
        message: str,
        span_name: Optional[str] = None,
        **kwargs
    ):
        """在追蹤跨度中記錄日志"""
        
        if span_name:
            # 創(chuàng)建新跨度
            with self.tracer.start_span(span_name):
                self.log(level, message, **kwargs)
        else:
            # 使用當(dāng)前跨度
            self.log(level, message, **kwargs)

class PerformanceMonitor:
    """性能監(jiān)控器"""
    
    def __init__(self, logger: StructuredLogger):
        self.logger = logger
        self.metrics = defaultdict(list)
        self.thresholds = {}
    
    def measure(self, operation: str):
        """測量操作性能"""
        return PerformanceTimer(self, operation)
    
    def record_metric(
        self,
        name: str,
        value: float,
        unit: str = "ms",
        tags: Optional[Dict[str, str]] = None
    ):
        """記錄性能指標(biāo)"""
        
        timestamp = time.time_ns()
        metric_record = {
            'name': name,
            'value': value,
            'unit': unit,
            'timestamp': timestamp,
            'tags': tags or {}
        }
        
        # 存儲指標(biāo)
        self.metrics[name].append(metric_record)
        
        # 檢查閾值
        if name in self.thresholds:
            threshold = self.thresholds[name]
            if value > threshold:
                self.logger.warn(
                    f"性能閾值超過: {name} = {value}{unit} > {threshold}{unit}",
                    metric=metric_record
                )
        
        # 記錄指標(biāo)日志
        self.logger.debug(
            f"性能指標(biāo): {name}",
            metric=metric_record,
            extra={'metric_type': 'performance'}
        )
        
        return metric_record
    
    def set_threshold(self, metric_name: str, threshold: float):
        """設(shè)置性能閾值"""
        self.thresholds[metric_name] = threshold
    
    def get_statistics(self, metric_name: str) -> Dict[str, float]:
        """獲取統(tǒng)計信息"""
        records = self.metrics.get(metric_name, [])
        
        if not records:
            return {}
        
        values = [r['value'] for r in records]
        
        return {
            'count': len(values),
            'mean': sum(values) / len(values),
            'min': min(values),
            'max': max(values),
            'p50': self._percentile(values, 50),
            'p95': self._percentile(values, 95),
            'p99': self._percentile(values, 99)
        }
    
    def _percentile(self, values: List[float], p: float) -> float:
        """計算百分位數(shù)"""
        if not values:
            return 0
        
        sorted_values = sorted(values)
        k = (len(sorted_values) - 1) * (p / 100)
        f = int(k)
        c = k - f
        
        if f + 1 < len(sorted_values):
            return sorted_values[f] + c * (sorted_values[f + 1] - sorted_values[f])
        else:
            return sorted_values[f]
    
    def report_summary(self):
        """報告性能摘要"""
        summary = {}
        
        for metric_name in self.metrics:
            stats = self.get_statistics(metric_name)
            summary[metric_name] = stats
        
        self.logger.info(
            "性能監(jiān)控摘要",
            performance_summary=summary,
            extra={'report_type': 'performance_summary'}
        )
        
        return summary


class PerformanceTimer:
    """性能計時器"""
    
    def __init__(self, monitor: PerformanceMonitor, operation: str):
        self.monitor = monitor
        self.operation = operation
        self.start_time = None
        self.tags = {}
    
    def __enter__(self):
        self.start_time = time.time_ns()
        return self
    
    def __exit__(self, exc_type, exc_val, exc_tb):
        if self.start_time is None:
            return
        
        end_time = time.time_ns()
        duration_ns = end_time - self.start_time
        duration_ms = duration_ns / 1_000_000
        
        self.monitor.record_metric(
            name=self.operation,
            value=duration_ms,
            unit="ms",
            tags=self.tags
        )
    
    def add_tag(self, key: str, value: str):
        """添加標(biāo)簽"""
        self.tags[key] = value
        return self

class LogSampler:
    """日志采樣器"""
    
    def __init__(
        self,
        base_logger: StructuredLogger,
        sample_rate: float = 1.0,  # 采樣率 0.0-1.0
        adaptive_sampling: bool = False,
        min_sample_rate: float = 0.01,
        max_sample_rate: float = 1.0
    ):
        self.base_logger = base_logger
        self.sample_rate = sample_rate
        self.adaptive_sampling = adaptive_sampling
        self.min_sample_rate = min_sample_rate
        self.max_sample_rate = max_sample_rate
        
        # 采樣統(tǒng)計
        self.sampled_count = 0
        self.total_count = 0
        
        # 自適應(yīng)采樣狀態(tài)
        self.current_rate = sample_rate
        self.last_adjust_time = time.time()
    
    def should_sample(self, level: LogLevel) -> bool:
        """決定是否采樣"""
        self.total_count += 1
        
        # 高等級日志總是采樣
        if level in [LogLevel.ERROR, LogLevel.FATAL]:
            self.sampled_count += 1
            return True
        
        # 計算當(dāng)前采樣率
        if self.adaptive_sampling:
            self._adjust_sample_rate()
        
        # 隨機采樣
        import random
        if random.random() <= self.current_rate:
            self.sampled_count += 1
            return True
        
        return False
    
    def _adjust_sample_rate(self):
        """調(diào)整采樣率"""
        current_time = time.time()
        
        # 每分鐘調(diào)整一次
        if current_time - self.last_adjust_time < 60:
            return
        
        # 計算當(dāng)前實際采樣率
        if self.total_count == 0:
            actual_rate = 0
        else:
            actual_rate = self.sampled_count / self.total_count
        
        # 調(diào)整采樣率
        target_rate = self.sample_rate
        
        if actual_rate < target_rate * 0.8:
            # 采樣不足，提高采樣率
            self.current_rate = min(self.current_rate * 1.2, self.max_sample_rate)
        elif actual_rate > target_rate * 1.2:
            # 采樣過多，降低采樣率
            self.current_rate = max(self.current_rate * 0.8, self.min_sample_rate)
        
        # 重置統(tǒng)計
        self.sampled_count = 0
        self.total_count = 0
        self.last_adjust_time = current_time
    
    def log(self, level: LogLevel, message: str, **kwargs):
        """記錄日志（帶采樣）"""
        if self.should_sample(level):
            self.base_logger.log(level, message, **kwargs)


class LogAggregator:
    """日志聚合器"""
    
    def __init__(
        self,
        base_logger: StructuredLogger,
        aggregation_window: float = 5.0,  # 聚合窗口（秒）
        max_aggregation_count: int = 1000  # 最大聚合條數(shù)
    ):
        self.base_logger = base_logger
        self.aggregation_window = aggregation_window
        self.max_aggregation_count = max_aggregation_count
        
        # 聚合緩沖區(qū)
        self.buffer: Dict[str, List[LogRecord]] = defaultdict(list)
        self.last_flush_time = time.time()
        
        # 啟動定時刷新
        self.flush_thread = threading.Thread(target=self._flush_loop, daemon=True)
        self.running = True
        self.flush_thread.start()
    
    def _get_aggregation_key(self, record: LogRecord) -> str:
        """獲取聚合鍵"""
        # 基于消息和級別聚合
        key_parts = [
            record.level,
            record.message,
            record.logger_name,
            str(record.error_type) if record.error_type else "",
        ]
        
        return hashlib.md5("|".join(key_parts).encode()).hexdigest()
    
    def log(self, level: LogLevel, message: str, **kwargs):
        """記錄日志（帶聚合）"""
        # 創(chuàng)建記錄但不立即發(fā)送
        record = self.base_logger._create_record(level, message, kwargs.get('extra'))
        
        # 添加到緩沖區(qū)
        aggregation_key = self._get_aggregation_key(record)
        self.buffer[aggregation_key].append(record)
        
        # 檢查是否達到聚合上限
        total_count = sum(len(records) for records in self.buffer.values())
        if total_count >= self.max_aggregation_count:
            self._flush_buffer()
    
    def _flush_buffer(self):
        """刷新緩沖區(qū)"""
        if not self.buffer:
            return
        
        flushed_records = []
        
        for aggregation_key, records in self.buffer.items():
            if not records:
                continue
            
            # 取第一條記錄作為模板
            template_record = records[0]
            
            # 創(chuàng)建聚合記錄
            aggregated_record = LogRecord(
                timestamp=datetime.utcnow().isoformat() + 'Z',
                level=template_record.level,
                message=template_record.message + f" (aggregated {len(records)} times)",
                logger_name=template_record.logger_name,
                extra={
                    **template_record.extra,
                    'aggregated_count': len(records),
                    'aggregation_key': aggregation_key,
                    'first_occurrence': records[0].timestamp,
                    'last_occurrence': records[-1].timestamp
                }
            )
            
            flushed_records.append(aggregated_record)
        
        # 發(fā)送聚合記錄
        for record in flushed_records:
            self.base_logger._log_direct(record)
        
        # 清空緩沖區(qū)
        self.buffer.clear()
        self.last_flush_time = time.time()
    
    def _flush_loop(self):
        """定時刷新循環(huán)"""
        while self.running:
            time.sleep(self.aggregation_window)
            self._flush_buffer()
    
    def shutdown(self):
        """關(guān)閉聚合器"""
        self.running = False
        self._flush_buffer()
        
        if self.flush_thread.is_alive():
            self.flush_thread.join(timeout=2.0)

import yaml
import toml
from pathlib import Path


class LoggingConfig:
    """日志配置管理器"""
    
    CONFIG_SCHEMA = {
        'type': 'object',
        'properties': {
            'version': {'type': 'string'},
            'defaults': {
                'type': 'object',
                'properties': {
                    'level': {'type': 'string', 'enum': ['trace', 'debug', 'info', 'warn', 'error', 'fatal']},
                    'capture_stacktrace': {'type': 'boolean'},
                    'enable_performance_stats': {'type': 'boolean'}
                }
            },
            'loggers': {
                'type': 'object',
                'additionalProperties': {
                    'type': 'object',
                    'properties': {
                        'level': {'type': 'string', 'enum': ['trace', 'debug', 'info', 'warn', 'error', 'fatal']},
                        'handlers': {'type': 'array', 'items': {'type': 'string'}},
                        'propagate': {'type': 'boolean'}
                    }
                }
            },
            'handlers': {
                'type': 'object',
                'additionalProperties': {
                    'type': 'object',
                    'properties': {
                        'type': {'type': 'string', 'enum': ['console', 'file', 'rotating_file', 'async', 'batch']},
                        'level': {'type': 'string', 'enum': ['trace', 'debug', 'info', 'warn', 'error', 'fatal']},
                        'formatter': {'type': 'string'},
                        'filters': {
                            'type': 'array',
                            'items': {
                                'type': 'object',
                                'properties': {
                                    'type': {'type': 'string', 'enum': ['level', 'rate_limit', 'sensitive_data']},
                                    'max_per_second': {'type': 'number', 'minimum': 1},
                                    'window_seconds': {'type': 'number', 'minimum': 0.1}
                                }
                            }
                        },
                        'filename': {'type': 'string'},
                        'max_size_mb': {'type': 'number', 'minimum': 1},
                        'backup_count': {'type': 'integer', 'minimum': 1},
                        'max_queue_size': {'type': 'integer', 'minimum': 100},
                        'worker_count': {'type': 'integer', 'minimum': 1},
                        'drop_when_full': {'type': 'boolean'},
                        'batch_size': {'type': 'integer', 'minimum': 1},
                        'flush_interval': {'type': 'number', 'minimum': 0.1},
                        'compression': {'type': 'boolean'},
                        'use_colors': {'type': 'boolean'}
                    },
                    'required': ['type']
                }
            },
            'formatters': {
                'type': 'object',
                'additionalProperties': {
                    'type': 'object',
                    'properties': {
                        'type': {'type': 'string', 'enum': ['json', 'ndjson']},
                        'indent': {'type': ['integer', 'null']},
                        'ensure_ascii': {'type': 'boolean'},
                        'sort_keys': {'type': 'boolean'}
                    }
                }
            }
        },
        'required': ['version']
    }
    
    def __init__(self, config_path: Optional[Union[str, Path]] = None):
        self.config = {}
        self.config_path = Path(config_path) if config_path else None
        
        if config_path and Path(config_path).exists():
            self.load_config(config_path)
        else:
            self._load_default_config()
    
    def _load_default_config(self):
        """加載默認配置"""
        self.config = {
            'version': '1.0',
            'defaults': {
                'level': 'info',
                'capture_stacktrace': False,
                'enable_performance_stats': False
            },
            'formatters': {
                'json': {
                    'type': 'json',
                    'indent': None,
                    'ensure_ascii': False,
                    'sort_keys': False
                },
                'json_pretty': {
                    'type': 'json',
                    'indent': 2,
                    'ensure_ascii': False,
                    'sort_keys': True
                },
                'ndjson': {
                    'type': 'ndjson',
                    'indent': None,
                    'ensure_ascii': False,
                    'sort_keys': False
                }
            },
            'handlers': {
                'console': {
                    'type': 'console',
                    'level': 'info',
                    'formatter': 'json',
                    'use_colors': True
                },
                'console_pretty': {
                    'type': 'console',
                    'level': 'info',
                    'formatter': 'json_pretty',
                    'use_colors': True
                },
                'file_app': {
                    'type': 'file',
                    'level': 'info',
                    'formatter': 'ndjson',
                    'filename': 'logs/app.log'
                },
                'file_error': {
                    'type': 'file',
                    'level': 'error',
                    'formatter': 'json_pretty',
                    'filename': 'logs/error.log'
                },
                'async_console': {
                    'type': 'async',
                    'level': 'info',
                    'base_handler': {
                        'type': 'console',
                        'formatter': 'json'
                    },
                    'max_queue_size': 10000,
                    'worker_count': 2,
                    'drop_when_full': False
                }
            },
            'loggers': {
                'root': {
                    'level': 'info',
                    'handlers': ['console'],
                    'propagate': False
                },
                'app': {
                    'level': 'debug',
                    'handlers': ['console_pretty', 'file_app'],
                    'propagate': False
                },
                'app.error': {
                    'level': 'error',
                    'handlers': ['file_error'],
                    'propagate': True
                },
                'app.performance': {
                    'level': 'info',
                    'handlers': ['async_console'],
                    'propagate': False
                }
            }
        }
    
    def load_config(self, config_path: Union[str, Path]):
        """加載配置文件"""
        config_path = Path(config_path)
        
        if not config_path.exists():
            raise FileNotFoundError(f"配置文件不存在: {config_path}")
        
        # 根據(jù)文件擴展名確定格式
        suffix = config_path.suffix.lower()
        
        try:
            with open(config_path, 'r', encoding='utf-8') as f:
                content = f.read()
            
            if suffix == '.json':
                config = json.loads(content)
            elif suffix in ['.yaml', '.yml']:
                config = yaml.safe_load(content)
            elif suffix == '.toml':
                config = toml.loads(content)
            else:
                raise ValueError(f"不支持的配置文件格式: {suffix}")
            
            # 驗證配置
            if self.validate_config(config):
                self.config = config
                self.config_path = config_path
                print(f"配置文件加載成功: {config_path}")
            else:
                raise ValueError("配置文件驗證失敗")
                
        except Exception as e:
            print(f"配置文件加載失敗: {e}")
            raise
    
    def validate_config(self, config: Dict) -> bool:
        """驗證配置"""
        # 簡化驗證 - 實際生產(chǎn)環(huán)境應(yīng)該使用JSON Schema
        required_keys = ['version', 'defaults', 'handlers', 'loggers']
        
        for key in required_keys:
            if key not in config:
                print(f"配置缺少必需鍵: {key}")
                return False
        
        return True
    
    def get_logger_config(self, logger_name: str) -> Dict[str, Any]:
        """獲取日志記錄器配置"""
        
        # 查找最具體的配置
        config = self.config.get('loggers', {}).get(logger_name)
        
        if config:
            return config
        
        # 查找父記錄器配置
        parts = logger_name.split('.')
        for i in range(len(parts) - 1, 0, -1):
            parent_name = '.'.join(parts[:i])
            parent_config = self.config.get('loggers', {}).get(parent_name)
            
            if parent_config and parent_config.get('propagate', False):
                return parent_config
        
        # 返回根配置
        return self.config.get('loggers', {}).get('root', {})
    
    def get_handler_config(self, handler_name: str) -> Dict[str, Any]:
        """獲取處理器配置"""
        return self.config.get('handlers', {}).get(handler_name, {})
    
    def get_formatter_config(self, formatter_name: str) -> Dict[str, Any]:
        """獲取格式化器配置"""
        return self.config.get('formatters', {}).get(formatter_name, {})
    
    def save_config(self, config_path: Optional[Union[str, Path]] = None):
        """保存配置"""
        save_path = Path(config_path) if config_path else self.config_path
        
        if not save_path:
            raise ValueError("未指定配置保存路徑")
        
        # 確保目錄存在
        save_path.parent.mkdir(parents=True, exist_ok=True)
        
        # 根據(jù)文件擴展名確定格式
        suffix = save_path.suffix.lower()
        
        try:
            with open(save_path, 'w', encoding='utf-8') as f:
                if suffix == '.json':
                    json.dump(self.config, f, indent=2, ensure_ascii=False)
                elif suffix in ['.yaml', '.yml']:
                    yaml.dump(self.config, f, default_flow_style=False, allow_unicode=True)
                elif suffix == '.toml':
                    toml.dump(self.config, f)
                else:
                    # 默認使用JSON
                    json.dump(self.config, f, indent=2, ensure_ascii=False)
            
            print(f"配置文件保存成功: {save_path}")
            
        except Exception as e:
            print(f"配置文件保存失敗: {e}")
            raise

def logging_system_demo():
    """日志系統(tǒng)演示"""
    
    print("=" * 60)
    print("結(jié)構(gòu)化日志系統(tǒng)演示")
    print("=" * 60)
    
    # 1. 基礎(chǔ)使用
    print("\n1. 基礎(chǔ)使用")
    print("-" * 40)
    
    # 獲取日志管理器單例
    log_manager = LogManager()
    
    # 獲取日志記錄器
    logger = log_manager.get_logger("demo.app")
    
    # 記錄不同級別的日志
    logger.trace("這是一個TRACE級別日志")
    logger.debug("這是一個DEBUG級別日志")
    logger.info("這是一個INFO級別日志", user="john", action="login")
    logger.warn("這是一個WARN級別日志")
    
    # 記錄錯誤
    try:
        result = 1 / 0
    except Exception as e:
        logger.error("除法計算錯誤", exc=e, dividend=1, divisor=0)
    
    # 2. 上下文管理
    print("\n2. 上下文管理")
    print("-" * 40)
    
    # 添加上下文
    logger.info("沒有上下文")
    
    with logger.with_context(request_id="req123", user_id="user456"):
        logger.info("有請求上下文")
        
        with logger.with_context(stage="processing"):
            logger.info("嵌套上下文")
        
        logger.info("回到父上下文")
    
    logger.info("上下文已清除")
    
    # 3. 性能監(jiān)控
    print("\n3. 性能監(jiān)控")
    print("-" * 40)
    
    monitor = PerformanceMonitor(logger)
    
    # 測量操作性能
    with monitor.measure("database_query") as timer:
        timer.add_tag("table", "users")
        time.sleep(0.1)  # 模擬數(shù)據(jù)庫查詢
    
    with monitor.measure("api_call") as timer:
        timer.add_tag("endpoint", "/api/users")
        time.sleep(0.05)  # 模擬API調(diào)用
    
    # 記錄自定義指標(biāo)
    monitor.record_metric("memory_usage", 125.5, unit="MB")
    monitor.record_metric("cpu_usage", 15.2, unit="%")
    
    # 查看統(tǒng)計
    stats = monitor.get_statistics("database_query")
    print(f"數(shù)據(jù)庫查詢統(tǒng)計: {stats}")
    
    # 4. 分布式追蹤
    print("\n4. 分布式追蹤")
    print("-" * 40)
    
    tracing_logger = TracingLogger("demo.tracing")
    
    # 在追蹤上下文中記錄日志
    with tracing_logger.trace_span("process_request") as span:
        span.set_attribute("method", "POST")
        span.set_attribute("path", "/api/data")
        
        tracing_logger.info("開始處理請求")
        
        with tracing_logger.trace_span("validate_input"):
            tracing_logger.debug("驗證輸入數(shù)據(jù)")
            time.sleep(0.01)
        
        with tracing_logger.trace_span("process_data"):
            tracing_logger.debug("處理數(shù)據(jù)")
            time.sleep(0.02)
        
        tracing_logger.info("請求處理完成")
    
    # 5. 高級配置
    print("\n5. 高級配置")
    print("-" * 40)
    
    # 創(chuàng)建自定義配置
    config = LoggingConfig()
    
    # 添加自定義處理器
    config.config['handlers']['custom_file'] = {
        'type': 'rotating_file',
        'level': 'info',
        'formatter': 'ndjson',
        'filename': 'logs/custom.log',
        'max_size_mb': 10,
        'backup_count': 3,
        'filters': [
            {
                'type': 'rate_limit',
                'max_per_second': 100
            },
            {
                'type': 'sensitive_data'
            }
        ]
    }
    
    # 添加自定義記錄器
    config.config['loggers']['custom'] = {
        'level': 'debug',
        'handlers': ['custom_file'],
        'propagate': False
    }
    
    # 保存配置
    config.save_config("logs/logging_config.yaml")
    
    # 6. 日志采樣
    print("\n6. 日志采樣")
    print("-" * 40)
    
    # 創(chuàng)建采樣日志記錄器
    base_logger = log_manager.get_logger("demo.sampling")
    sampler = LogSampler(base_logger, sample_rate=0.1)  # 10%采樣率
    
    # 記錄大量日志
    for i in range(100):
        sampler.log(LogLevel.INFO, f"日志消息 {i}", iteration=i)
    
    print(f"采樣統(tǒng)計: {sampler.sampled_count}/{sampler.total_count}")
    
    # 7. 聚合日志
    print("\n7. 日志聚合")
    print("-" * 40)
    
    aggregator = LogAggregator(base_logger, aggregation_window=2.0)
    
    # 記錄重復(fù)日志
    for i in range(50):
        aggregator.log(LogLevel.INFO, "重復(fù)的日志消息")
        time.sleep(0.01)
    
    time.sleep(3)  # 等待聚合
    
    # 8. 獲取統(tǒng)計信息
    print("\n8. 系統(tǒng)統(tǒng)計")
    print("-" * 40)
    
    stats = log_manager.get_all_stats()
    print(f"總?cè)罩居涗浧? {stats['logger_count']}")
    print(f"總?cè)罩緱l數(shù): {stats['total_logs']}")
    
    for logger_name, logger_stats in stats['loggers'].items():
        print(f"\n{logger_name}:")
        print(f"  日志統(tǒng)計: {logger_stats['log_counts']}")
    
    # 清理
    aggregator.shutdown()
    
    print("\n演示完成!")
    return log_manager


def production_logging_setup():
    """生產(chǎn)環(huán)境日志配置"""
    
    # 創(chuàng)建生產(chǎn)配置
    config = {
        'version': '1.0',
        'defaults': {
            'level': 'info',
            'capture_stacktrace': True,
            'enable_performance_stats': True
        },
        'formatters': {
            'json': {
                'type': 'json',
                'indent': None,
                'ensure_ascii': False,
                'sort_keys': False
            }
        },
        'handlers': {
            'console': {
                'type': 'console',
                'level': 'info',
                'formatter': 'json',
                'use_colors': False  # 生產(chǎn)環(huán)境通常不需要顏色
            },
            'app_file': {
                'type': 'rotating_file',
                'level': 'info',
                'formatter': 'json',
                'filename': '/var/log/app/app.log',
                'max_size_mb': 100,
                'backup_count': 10
            },
            'error_file': {
                'type': 'rotating_file',
                'level': 'error',
                'formatter': 'json',
                'filename': '/var/log/app/error.log',
                'max_size_mb': 50,
                'backup_count': 5
            },
            'async_app': {
                'type': 'async',
                'level': 'info',
                'base_handler': {
                    'type': 'rotating_file',
                    'filename': '/var/log/app/async.log',
                    'max_size_mb': 100,
                    'backup_count': 10
                },
                'max_queue_size': 50000,
                'worker_count': 4,
                'drop_when_full': True
            }
        },
        'loggers': {
            'root': {
                'level': 'warn',
                'handlers': ['console'],
                'propagate': False
            },
            'app': {
                'level': 'info',
                'handlers': ['app_file', 'async_app'],
                'propagate': False
            },
            'app.api': {
                'level': 'debug',
                'handlers': ['app_file'],
                'propagate': True
            },
            'app.error': {
                'level': 'error',
                'handlers': ['error_file'],
                'propagate': True
            },
            'app.performance': {
                'level': 'info',
                'handlers': ['async_app'],
                'propagate': False
            }
        }
    }
    
    # 初始化日志管理器
    log_manager = LogManager()
    
    # 應(yīng)用配置
    log_manager.configure(config)
    
    # 設(shè)置全局上下文
    import socket
    log_manager.set_global_context(
        app_name="production_app",
        app_version="1.0.0",
        environment="production",
        hostname=socket.gethostname(),
        region=os.environ.get("AWS_REGION", "unknown")
    )
    
    return log_manager


if __name__ == "__main__":
    # 運行演示
    demo_manager = logging_system_demo()
    
    # 演示完成后關(guān)閉
    demo_manager.shutdown()

import pytest
import tempfile
import json
import time
from pathlib import Path


class TestStructuredLogger:
    """結(jié)構(gòu)化日志記錄器測試"""
    
    @pytest.fixture
    def temp_log_file(self):
        """創(chuàng)建臨時日志文件"""
        with tempfile.NamedTemporaryFile(mode='w', suffix='.log', delete=False) as f:
            temp_file = f.name
        
        yield temp_file
        
        # 清理
        Path(temp_file).unlink(missing_ok=True)
    
    @pytest.fixture
    def test_logger(self):
        """創(chuàng)建測試日志記錄器"""
        logger = StructuredLogger(
            name="test",
            level=LogLevel.DEBUG,
            handlers=[],
            capture_stacktrace=True
        )
        return logger
    
    def test_log_record_creation(self, test_logger):
        """測試日志記錄創(chuàng)建"""
        record = test_logger._create_record(
            LogLevel.INFO,
            "測試消息",
            extra={"key": "value"}
        )
        
        assert isinstance(record, LogRecord)
        assert record.level == "INFO"
        assert record.message == "測試消息"
        assert record.logger_name == "test"
        assert record.extra["key"] == "value"
        
        # 檢查時間戳格式
        assert record.timestamp.endswith('Z')
        
        # 檢查調(diào)用者信息
        assert record.filename is not None
        assert record.function is not None
        assert record.line_no is not None
    
    def test_log_level_filtering(self):
        """測試日志級別過濾"""
        
        # 創(chuàng)建記錄器和處理器
        logger = StructuredLogger("test", level=LogLevel.WARN)
        
        # 使用模擬處理器
        class MockHandler(LogHandler):
            def __init__(self):
                super().__init__(level=LogLevel.INFO)
                self.records = []
            
            def emit(self, record):
                self.records.append(record)
        
        handler = MockHandler()
        logger.add_handler(handler)
        
        # 記錄不同級別的日志
        logger.debug("DEBUG消息")
        logger.info("INFO消息")
        logger.warn("WARN消息")
        logger.error("ERROR消息")
        
        # 檢查過濾結(jié)果
        assert len(handler.records) == 2  # WARN和ERROR
        assert all(r.level in ["WARN", "ERROR"] for r in handler.records)
    
    def test_json_formatter(self):
        """測試JSON格式化器"""
        formatter = JSONFormatter(indent=2)
        
        record = LogRecord(
            timestamp="2024-01-01T00:00:00Z",
            level="INFO",
            message="測試消息",
            logger_name="test"
        )
        
        formatted = formatter.format(record)
        
        # 驗證JSON格式
        parsed = json.loads(formatted)
        assert parsed["timestamp"] == "2024-01-01T00:00:00Z"
        assert parsed["level"] == "INFO"
        assert parsed["message"] == "測試消息"
        assert parsed["logger_name"] == "test"
    
    def test_file_handler(self, temp_log_file):
        """測試文件處理器"""
        handler = FileHandler(
            filename=temp_log_file,
            level=LogLevel.INFO,
            formatter=JSONFormatter(indent=None)
        )
        
        record = LogRecord(
            timestamp="2024-01-01T00:00:00Z",
            level="INFO",
            message="測試消息",
            logger_name="test"
        )
        
        # 處理記錄
        handler.handle(record)
        handler.close()
        
        # 驗證文件內(nèi)容
        with open(temp_log_file, 'r') as f:
            content = f.read().strip()
        
        parsed = json.loads(content)
        assert parsed["message"] == "測試消息"
    
    def test_rate_limit_filter(self):
        """測試速率限制過濾器"""
        filter_obj = RateLimitFilter(max_per_second=2, window_seconds=1)
        
        record = LogRecord(
            timestamp="2024-01-01T00:00:00Z",
            level="INFO",
            message="測試消息",
            logger_name="test"
        )
        
        # 前2次應(yīng)該通過
        assert filter_obj.filter(record) is True
        assert filter_obj.filter(record) is True
        
        # 第3次應(yīng)該被限制
        assert filter_obj.filter(record) is False
        
        # 等待窗口重置
        time.sleep(1.1)
        assert filter_obj.filter(record) is True
    
    def test_sensitive_data_filter(self):
        """測試敏感數(shù)據(jù)過濾器"""
        filter_obj = SensitiveDataFilter()
        
        # 測試各種敏感信息
        test_cases = [
            ("password=secret123", "password=***"),
            ("API_KEY=sk_test_12345", "API_KEY=***"),
            ("email=test@example.com", "email=te***@example.com"),
            ("phone=123-456-7890", "phone=123***7890"),
        ]
        
        for input_text, expected_output in test_cases:
            record = LogRecord(
                timestamp="2024-01-01T00:00:00Z",
                level="INFO",
                message=input_text,
                logger_name="test"
            )
            
            filter_obj.filter(record)
            assert expected_output in record.message
    
    def test_async_handler(self):
        """測試異步處理器"""
        # 創(chuàng)建模擬基礎(chǔ)處理器
        class MockBaseHandler(LogHandler):
            def __init__(self):
                super().__init__(level=LogLevel.INFO)
                self.records = []
                self.process_times = []
            
            def emit(self, record):
                self.records.append(record)
                self.process_times.append(time.time())
        
        base_handler = MockBaseHandler()
        async_handler = AsyncHandler(
            base_handler=base_handler,
            max_queue_size=10,
            worker_count=1
        )
        
        # 發(fā)送多條記錄
        send_time = time.time()
        for i in range(5):
            record = LogRecord(
                timestamp="2024-01-01T00:00:00Z",
                level="INFO",
                message=f"消息{i}",
                logger_name="test"
            )
            async_handler.handle(record)
        
        # 等待處理完成
        time.sleep(0.5)
        
        # 關(guān)閉處理器
        async_handler.shutdown()
        
        # 驗證結(jié)果
        assert len(base_handler.records) == 5
        assert all(t > send_time for t in base_handler.process_times)
    
    def test_batch_handler(self):
        """測試批量處理器"""
        # 創(chuàng)建模擬基礎(chǔ)處理器
        class MockBaseHandler(LogHandler):
            def __init__(self):
                super().__init__(level=LogLevel.INFO)
                self.records = []
                self.batch_count = 0
            
            def emit(self, record):
                self.records.append(record)
            
            def handle(self, record):
                self.batch_count += 1
                return super().handle(record)
        
        base_handler = MockBaseHandler()
        batch_handler = BatchHandler(
            base_handler=base_handler,
            batch_size=3,
            flush_interval=0.1
        )
        
        # 發(fā)送記錄（不足批量大小）
        for i in range(2):
            record = LogRecord(
                timestamp="2024-01-01T00:00:00Z",
                level="INFO",
                message=f"消息{i}",
                logger_name="test"
            )
            batch_handler.handle(record)
        
        # 等待定時刷新
        time.sleep(0.2)
        
        # 驗證結(jié)果
        assert len(base_handler.records) == 2
        assert base_handler.batch_count == 2  # 逐個處理
        
        # 關(guān)閉處理器
        batch_handler.shutdown()


class TestDistributedTracing:
    """分布式追蹤測試"""
    
    def test_trace_context(self):
        """測試追蹤上下文"""
        tracer = DistributedTraceContext()
        
        # 獲取初始上下文
        context1 = tracer.current
        assert 'trace_id' in context1
        assert 'span_id' in context1
        
        # 開始新跨度
        with tracer.start_span("test_span") as span:
            context2 = tracer.current
            assert context2['trace_id'] == context1['trace_id']
            assert context2['span_id'] != context1['span_id']
            assert context2['parent_span_id'] == context1['span_id']
        
        # 恢復(fù)上下文
        context3 = tracer.current
        assert context3['span_id'] == context1['span_id']
    
    def test_tracing_logger(self):
        """測試追蹤日志記錄器"""
        tracer = DistributedTraceContext()
        logger = TracingLogger("test.tracing", tracer=tracer)
        
        # 在追蹤上下文中記錄日志
        with tracer.start_span("parent_span"):
            logger.info("父跨度中的日志")
            
            with tracer.start_span("child_span"):
                logger.info("子跨度中的日志")
        
        # 驗證追蹤信息
        assert logger.tracer.get_current_trace_id() is not None


class TestPerformanceMonitoring:
    """性能監(jiān)控測試"""
    
    def test_performance_monitor(self):
        """測試性能監(jiān)控器"""
        # 創(chuàng)建模擬日志記錄器
        class MockLogger:
            def __init__(self):
                self.records = []
            
            def debug(self, message, **kwargs):
                self.records.append((message, kwargs))
        
        mock_logger = MockLogger()
        
        # 創(chuàng)建監(jiān)控器
        monitor = PerformanceMonitor(mock_logger)
        
        # 測量操作
        with monitor.measure("test_operation"):
            time.sleep(0.01)
        
        # 記錄自定義指標(biāo)
        monitor.record_metric("custom_metric", 42.0)
        
        # 獲取統(tǒng)計
        stats = monitor.get_statistics("test_operation")
        assert stats['count'] == 1
        assert stats['mean'] > 0
        
        # 檢查日志記錄
        assert len(mock_logger.records) > 0


if __name__ == "__main__":
    # 運行測試
    pytest.main([__file__, '-v', '--tb=short'])

class LoggingPerformanceTest:
    """日志性能測試"""
    
    @staticmethod
    def test_single_thread_performance():
        """測試單線程性能"""
        print("單線程性能測試")
        print("-" * 40)
        
        # 創(chuàng)建測試日志記錄器
        logger = StructuredLogger(
            name="performance.test",
            level=LogLevel.INFO,
            enable_performance_stats=True
        )
        
        # 添加處理器
        console_handler = ConsoleHandler(
            level=LogLevel.INFO,
            formatter=JSONFormatter(indent=None),
            use_colors=False
        )
        logger.add_handler(console_handler)
        
        # 性能測試
        iterations = 10000
        start_time = time.time()
        
        for i in range(iterations):
            logger.info(f"性能測試消息 {i}", iteration=i)
        
        end_time = time.time()
        duration = end_time - start_time
        
        # 計算性能指標(biāo)
        logs_per_second = iterations / duration
        avg_latency_ms = (duration / iterations) * 1000
        
        print(f"總?cè)罩緮?shù): {iterations}")
        print(f"總耗時: {duration:.3f}秒")
        print(f"日志/秒: {logs_per_second:.1f}")
        print(f"平均延遲: {avg_latency_ms:.3f}毫秒")
        
        # 獲取統(tǒng)計信息
        stats = logger.get_stats()
        print(f"實際記錄數(shù): {sum(stats['log_counts'].values())}")
        
        return {
            'iterations': iterations,
            'duration': duration,
            'logs_per_second': logs_per_second,
            'avg_latency_ms': avg_latency_ms
        }
    
    @staticmethod
    def test_multi_thread_performance():
        """測試多線程性能"""
        print("\n多線程性能測試")
        print("-" * 40)
        
        # 創(chuàng)建異步處理器
        base_handler = ConsoleHandler(
            level=LogLevel.INFO,
            formatter=JSONFormatter(indent=None),
            use_colors=False
        )
        
        async_handler = AsyncHandler(
            base_handler=base_handler,
            max_queue_size=100000,
            worker_count=4,
            drop_when_full=False
        )
        
        logger = StructuredLogger(
            name="performance.async",
            level=LogLevel.INFO,
            handlers=[async_handler],
            enable_performance_stats=True
        )
        
        # 多線程測試
        thread_count = 8
        logs_per_thread = 5000
        total_iterations = thread_count * logs_per_thread
        
        threads = []
        start_time = time.time()
        
        def worker(thread_id):
            for i in range(logs_per_thread):
                logger.info(
                    f"線程{thread_id} - 消息{i}",
                    thread_id=thread_id,
                    iteration=i
                )
        
        # 啟動線程
        for i in range(thread_count):
            thread = threading.Thread(target=worker, args=(i,))
            threads.append(thread)
            thread.start()
        
        # 等待完成
        for thread in threads:
            thread.join()
        
        # 等待隊列清空
        time.sleep(1)
        
        end_time = time.time()
        duration = end_time - start_time
        
        # 計算性能指標(biāo)
        logs_per_second = total_iterations / duration
        avg_latency_ms = (duration / total_iterations) * 1000
        
        print(f"線程數(shù): {thread_count}")
        print(f"每線程日志數(shù): {logs_per_thread}")
        print(f"總?cè)罩緮?shù): {total_iterations}")
        print(f"總耗時: {duration:.3f}秒")
        print(f"日志/秒: {logs_per_second:.1f}")
        print(f"平均延遲: {avg_latency_ms:.3f}毫秒")
        
        # 獲取處理器統(tǒng)計
        handler_stats = async_handler.get_stats()
        print(f"隊列大小: {handler_stats['queue_size']}")
        print(f"丟棄數(shù): {handler_stats['dropped']}")
        
        # 關(guān)閉處理器
        async_handler.shutdown()
        
        return {
            'thread_count': thread_count,
            'total_iterations': total_iterations,
            'duration': duration,
            'logs_per_second': logs_per_second,
            'avg_latency_ms': avg_latency_ms
        }
    
    @staticmethod
    def test_batch_performance():
        """測試批量處理性能"""
        print("\n批量處理性能測試")
        print("-" * 40)
        
        # 創(chuàng)建批量處理器
        base_handler = ConsoleHandler(
            level=LogLevel.INFO,
            formatter=JSONFormatter(indent=None),
            use_colors=False
        )
        
        batch_handler = BatchHandler(
            base_handler=base_handler,
            batch_size=100,
            flush_interval=0.1,
            compression=False
        )
        
        logger = StructuredLogger(
            name="performance.batch",
            level=LogLevel.INFO,
            handlers=[batch_handler],
            enable_performance_stats=True
        )
        
        # 性能測試
        iterations = 10000
        start_time = time.time()
        
        for i in range(iterations):
            logger.info(f"批量測試消息 {i}", iteration=i)
        
        # 等待批處理完成
        time.sleep(0.5)
        
        end_time = time.time()
        duration = end_time - start_time
        
        # 計算性能指標(biāo)
        logs_per_second = iterations / duration
        avg_latency_ms = (duration / iterations) * 1000
        
        print(f"總?cè)罩緮?shù): {iterations}")
        print(f"批大小: 100")
        print(f"總耗時: {duration:.3f}秒")
        print(f"日志/秒: {logs_per_second:.1f}")
        print(f"平均延遲: {avg_latency_ms:.3f}毫秒")
        
        # 獲取處理器統(tǒng)計
        handler_stats = batch_handler.get_stats()
        print(f"緩沖區(qū)大小: {handler_stats['buffer_size']}")
        
        # 關(guān)閉處理器
        batch_handler.shutdown()
        
        return {
            'iterations': iterations,
            'batch_size': 100,
            'duration': duration,
            'logs_per_second': logs_per_second,
            'avg_latency_ms': avg_latency_ms
        }
    
    @staticmethod
    def compare_performance():
        """比較不同配置的性能"""
        print("=" * 60)
        print("日志系統(tǒng)性能比較")
        print("=" * 60)
        
        results = {}
        
        # 測試不同配置
        results['single_thread'] = LoggingPerformanceTest.test_single_thread_performance()
        results['multi_thread'] = LoggingPerformanceTest.test_multi_thread_performance()
        results['batch'] = LoggingPerformanceTest.test_batch_performance()
        
        # 輸出比較結(jié)果
        print("\n" + "=" * 60)
        print("性能比較摘要")
        print("=" * 60)
        
        for config, metrics in results.items():
            print(f"\n{config}:")
            print(f"  日志/秒: {metrics['logs_per_second']:.1f}")
            print(f"  平均延遲: {metrics['avg_latency_ms']:.3f}毫秒")
        
        # 建議
        print("\n建議:")
        print("- 單線程場景: 使用標(biāo)準(zhǔn)處理器")
        print("- 高并發(fā)場景: 使用異步處理器")
        print("- 日志量大場景: 使用批量處理器")
        
        return results


if __name__ == "__main__":
    # 運行性能測試
    LoggingPerformanceTest.compare_performance()

# 好
logger.info("用戶登錄", user_id="123", action="login", result="success")

# 不好
logger.info("用戶登錄", userId="123", ACTION="login", result="SUCCESS")

# 添加請求上下文
with logger.with_context(
    request_id=request_id,
    user_id=user_id,
    session_id=session_id
):
    logger.info("處理用戶請求", endpoint=request.path)

class ProductionLoggingDeployment:
    """生產(chǎn)環(huán)境日志部署"""
    
    @staticmethod
    def setup_logging_for_web_app():
        """為Web應(yīng)用設(shè)置日志"""
        
        config = {
            'version': '1.0',
            'defaults': {
                'level': 'info',
                'capture_stacktrace': True,
                'enable_performance_stats': True
            },
            'formatters': {
                'json': {
                    'type': 'json',
                    'indent': None,
                    'ensure_ascii': False,
                    'sort_keys': False
                },
                'json_pretty': {
                    'type': 'json',
                    'indent': 2,
                    'ensure_ascii': False,
                    'sort_keys': True
                }
            },
            'handlers': {
                'console': {
                    'type': 'console',
                    'level': 'info',
                    'formatter': 'json',
                    'use_colors': False,
                    'filters': [
                        {
                            'type': 'rate_limit',
                            'max_per_second': 1000
                        },
                        {
                            'type': 'sensitive_data'
                        }
                    ]
                },
                'app_file': {
                    'type': 'rotating_file',
                    'level': 'info',
                    'formatter': 'json',
                    'filename': '/var/log/app/app.log',
                    'max_size_mb': 1024,  # 1GB
                    'backup_count': 10
                },
                'error_file': {
                    'type': 'rotating_file',
                    'level': 'error',
                    'formatter': 'json_pretty',
                    'filename': '/var/log/app/error.log',
                    'max_size_mb': 100,
                    'backup_count': 5
                },
                'async_file': {
                    'type': 'async',
                    'level': 'info',
                    'base_handler': {
                        'type': 'rotating_file',
                        'filename': '/var/log/app/async.log',
                        'max_size_mb': 1024,
                        'backup_count': 10
                    },
                    'max_queue_size': 100000,
                    'worker_count': 4,
                    'drop_when_full': True
                },
                'metrics_file': {
                    'type': 'batch',
                    'level': 'info',
                    'base_handler': {
                        'type': 'file',
                        'filename': '/var/log/app/metrics.log',
                        'formatter': 'json'
                    },
                    'batch_size': 100,
                    'flush_interval': 5.0,
                    'compression': True
                }
            },
            'loggers': {
                'root': {
                    'level': 'warn',
                    'handlers': ['console'],
                    'propagate': False
                },
                'app': {
                    'level': 'info',
                    'handlers': ['app_file', 'async_file'],
                    'propagate': False
                },
                'app.api': {
                    'level': 'debug',
                    'handlers': ['app_file'],
                    'propagate': True
                },
                'app.error': {
                    'level': 'error',
                    'handlers': ['error_file'],
                    'propagate': True
                },
                'app.metrics': {
                    'level': 'info',
                    'handlers': ['metrics_file'],
                    'propagate': False
                },
                'app.performance': {
                    'level': 'info',
                    'handlers': ['async_file'],
                    'propagate': False
                }
            }
        }
        
        # 初始化日志管理器
        log_manager = LogManager()
        log_manager.configure(config)
        
        # 設(shè)置全局上下文
        import socket
        import os
        
        log_manager.set_global_context(
            app_name=os.environ.get('APP_NAME', 'unknown'),
            app_version=os.environ.get('APP_VERSION', 'unknown'),
            environment=os.environ.get('ENVIRONMENT', 'production'),
            hostname=socket.gethostname(),
            pod_name=os.environ.get('POD_NAME', 'unknown'),
            region=os.environ.get('AWS_REGION', 'unknown')
        )
        
        return log_manager
    
    @staticmethod
    def setup_request_logging_middleware(logger_name: str = "app.api"):
        """設(shè)置請求日志中間件"""
        
        from functools import wraps
        import uuid
        
        log_manager = LogManager()
        logger = log_manager.get_logger(logger_name)
        
        def request_logging_middleware(func):
            @wraps(func)
            def wrapper(request, *args, **kwargs):
                # 生成請求ID
                request_id = str(uuid.uuid4())
                
                # 添加上下文
                with logger.with_context(
                    request_id=request_id,
                    method=request.method,
                    path=request.path,
                    client_ip=request.remote_addr,
                    user_agent=request.headers.get('User-Agent', 'unknown')
                ):
                    # 記錄請求開始
                    logger.info(
                        "請求開始",
                        request_size=request.content_length or 0
                    )
                    
                    # 測量性能
                    start_time = time.time_ns()
                    
                    try:
                        # 處理請求
                        response = func(request, *args, **kwargs)
                        
                        # 記錄請求完成
                        duration_ns = time.time_ns() - start_time
                        logger.info(
                            "請求完成",
                            status_code=response.status_code,
                            response_size=response.content_length or 0,
                            duration_ms=duration_ns / 1_000_000
                        )
                        
                        return response
                        
                    except Exception as e:
                        # 記錄錯誤
                        duration_ns = time.time_ns() - start_time
                        logger.error(
                            "請求錯誤",
                            error_type=type(e).__name__,
                            error_message=str(e),
                            duration_ms=duration_ns / 1_000_000,
                            exc=e
                        )
                        
                        # 重新拋出異常
                        raise
            
            return wrapper
        
        return request_logging_middleware
    
    @staticmethod
    def setup_database_logging():
        """設(shè)置數(shù)據(jù)庫操作日志"""
        
        log_manager = LogManager()
        logger = log_manager.get_logger("app.database")
        
        class DatabaseLogger:
            """數(shù)據(jù)庫操作日志記錄器"""
            
            def __init__(self):
                self.monitor = PerformanceMonitor(logger)
            
            def log_query(self, query: str, params: tuple, duration_ms: float):
                """記錄查詢?nèi)罩?""
                
                # 采樣：只記錄慢查詢
                if duration_ms > 100:  # 超過100ms
                    logger.warn(
                        "慢查詢",
                        query=query[:100] + "..." if len(query) > 100 else query,
                        params=str(params)[:200],
                        duration_ms=duration_ms,
                        extra={'query_type': 'slow'}
                    )
                else:
                    logger.debug(
                        "數(shù)據(jù)庫查詢",
                        query=query[:50] + "..." if len(query) > 50 else query,
                        duration_ms=duration_ms,
                        extra={'query_type': 'normal'}
                    )
                
                # 記錄性能指標(biāo)
                self.monitor.record_metric(
                    "database_query_duration",
                    duration_ms,
                    unit="ms",
                    tags={"query_type": "select" if "SELECT" in query.upper() else "other"}
                )
            
            def log_transaction(self, operation: str, success: bool, duration_ms: float):
                """記錄事務(wù)日志"""
                level = LogLevel.INFO if success else LogLevel.ERROR
                
                logger.log(
                    level,
                    "數(shù)據(jù)庫事務(wù)",
                    operation=operation,
                    success=success,
                    duration_ms=duration_ms
                )
        
        return DatabaseLogger()

class LogMonitoringAndAlerting:
    """日志監(jiān)控與告警"""
    
    @staticmethod
    def setup_log_based_alerts():
        """設(shè)置基于日志的告警"""
        
        alerts = {
            'error_rate': {
                'description': '錯誤率超過閾值',
                'condition': lambda stats: (
                    stats.get('error_count', 0) > 10 and
                    stats.get('total_logs', 1) > 100 and
                    stats['error_count'] / stats['total_logs'] > 0.01  # 1%錯誤率
                ),
                'severity': 'high',
                'action': '通知開發(fā)團隊'
            },
            'queue_full': {
                'description': '日志隊列已滿',
                'condition': lambda stats: (
                    stats.get('queue_full', False) or
                    stats.get('dropped', 0) > 100
                ),
                'severity': 'medium',
                'action': '增加隊列大小或工作者數(shù)量'
            },
            'performance_degradation': {
                'description': '日志性能下降',
                'condition': lambda stats: (
                    stats.get('rate_per_second', 0) < 1000  # 低于1000條/秒
                ),
                'severity': 'low',
                'action': '檢查日志處理器配置'
            },
            'disk_space': {
                'description': '日志磁盤空間不足',
                'condition': lambda stats: (
                    stats.get('disk_usage_percent', 0) > 90
                ),
                'severity': 'critical',
                'action': '清理舊日志或增加磁盤空間'
            }
        }
        
        return alerts
    
    @staticmethod
    def monitor_logging_system(log_manager: LogManager, check_interval: int = 60):
        """監(jiān)控日志系統(tǒng)"""
        
        import psutil
        
        def check_system():
            """檢查系統(tǒng)狀態(tài)"""
            
            # 獲取日志統(tǒng)計
            stats = log_manager.get_all_stats()
            
            # 獲取系統(tǒng)信息
            disk_usage = psutil.disk_usage('/var/log' if os.path.exists('/var/log') else '.')
            
            system_stats = {
                'disk_usage_percent': disk_usage.percent,
                'disk_free_gb': disk_usage.free / (1024**3),
                'memory_percent': psutil.virtual_memory().percent,
                'cpu_percent': psutil.cpu_percent(interval=1)
            }
            
            # 合并統(tǒng)計
            all_stats = {**stats, **system_stats}
            
            # 檢查告警
            alerts = LogMonitoringAndAlerting.setup_log_based_alerts()
            triggered_alerts = []
            
            for alert_name, alert_config in alerts.items():
                if alert_config['condition'](all_stats):
                    triggered_alerts.append({
                        'name': alert_name,
                        'description': alert_config['description'],
                        'severity': alert_config['severity'],
                        'action': alert_config['action'],
                        'timestamp': datetime.now().isoformat(),
                        'stats': {k: v for k, v in all_stats.items() 
                                 if not isinstance(v, dict)}
                    })
            
            return triggered_alerts
        
        def monitoring_loop():
            """監(jiān)控循環(huán)"""
            while True:
                try:
                    alerts = check_system()
                    
                    if alerts:
                        # 處理告警
                        for alert in alerts:
                            print(f"告警 [{alert['severity']}]: {alert['description']}")
                            
                            # 這里可以發(fā)送告警到監(jiān)控系統(tǒng)
                            # 例如：發(fā)送到Prometheus、Datadog、PagerDuty等
                    
                    time.sleep(check_interval)
                    
                except Exception as e:
                    print(f"監(jiān)控循環(huán)錯誤: {e}")
                    time.sleep(check_interval)
        
        # 啟動監(jiān)控線程
        monitor_thread = threading.Thread(target=monitoring_loop, daemon=True)
        monitor_thread.start()
        
        return monitor_thread