"""
  请求粒度的上下文管理器
  
  用于存储查询分析结果、各检索阶段中间结果、性能指标等。
  支持线程安全的并发请求处理。
  """
  
  import time
  import threading
  from enum import Enum
  from typing import Dict, Any, Optional, List
  from dataclasses import dataclass, field
  import uuid
  

  from request_log_context import bind_request_log_context, reset_request_log_context
  

  
  class RequestContextStage(Enum):
      """搜索阶段枚举"""
      TOTAL = "total_search"
      QUERY_PARSING = "query_parsing"
      BOOLEAN_PARSING = "boolean_parsing"
      QUERY_BUILDING = "query_building"

      # ES 主召回查询
      ELASTICSEARCH_SEARCH_PRIMARY = "elasticsearch_search_primary"
      # ES 按 ID 回源分页详情回填
      ELASTICSEARCH_PAGE_FILL = "elasticsearch_page_fill"

      RESULT_PROCESSING = "result_processing"
      RERANKING = "reranking"

      # 款式意图 SKU 预筛选（StyleSkuSelector.prepare_hits）
      STYLE_SKU_PREPARE_HITS = "style_sku_prepare_hits"

  
  
  @dataclass
  class QueryAnalysisResult:
      """查询分析结果"""
      original_query: Optional[str] = None

      query_normalized: Optional[str] = None

      rewritten_query: Optional[str] = None
      detected_language: Optional[str] = None
      translations: Dict[str, str] = field(default_factory=dict)
      query_vector: Optional[List[float]] = None
      boolean_ast: Optional[str] = None
      is_simple_query: bool = True
      domain: str = "default"
  
  
  @dataclass
  class PerformanceMetrics:
      """性能指标"""
      stage_timings: Dict[str, float] = field(default_factory=dict)
      stage_start_times: Dict[str, float] = field(default_factory=dict)

      # 各阶段起止时间（Unix 毫秒，与 time.time() 一致）
      stage_time_bounds_ms: Dict[str, Dict[str, float]] = field(default_factory=dict)

      total_duration: float = 0.0
      extra_metrics: Dict[str, Any] = field(default_factory=dict)
  
  
  class RequestContext:
      """
      请求粒度的上下文管理器
  
      功能：
      1. 存储查询分析结果和各阶段中间结果
      2. 自动跟踪各阶段耗时
      3. 提供线程安全的上下文访问
      4. 支持上下文管理器模式
      """
  
      def __init__(self, reqid: str = None, uid: str = None):

          # 生成唯一请求ID；如果外部未提供，则自动生成
          # 如果无法获取到 uid，则使用 "-1" 作为占位，用于日志关联

          self.reqid = reqid or str(uuid.uuid4())[:8]

          self.uid = uid or "-1"

  
          # 查询分析结果
          self.query_analysis = QueryAnalysisResult()
  
          # 各检索阶段中间结果
          self.intermediate_results = {
              'parsed_query': None,
              'query_node': None,
              'es_query': {},
              'es_response': {},
              'processed_hits': [],
              'raw_hits': []
          }
  
          # 性能指标
          self.performance_metrics = PerformanceMetrics()
  
          # 元数据
          self.metadata = {
              'search_params': {},  # size, from_, filters等

              'feature_flags': {},  # translation_enabled (由tenant_config控制), enable_embedding等

              'config_info': {},   # 索引配置、字段映射等
              'error_info': None,
              'warnings': []
          }
  
          # 日志记录器引用（延迟初始化）
          self._logger = None
  
      @property
      def logger(self):
          """获取日志记录器"""
          if self._logger is None:
              from utils.logger import get_logger
              self._logger = get_logger("request_context")
          return self._logger
  
      def start_stage(self, stage: RequestContextStage) -> float:
          """
          开始一个阶段的计时
  
          Args:
              stage: 阶段枚举
  
          Returns:
              开始时间戳
          """
          start_time = time.time()
          self.performance_metrics.stage_start_times[stage.value] = start_time

          self.logger.debug(
              f"Start stage | {stage.value}",
              extra={'reqid': self.reqid, 'uid': self.uid}
          )

          return start_time
  
      def end_stage(self, stage: RequestContextStage) -> float:
          """
          结束一个阶段的计时
  
          Args:
              stage: 阶段枚举
  
          Returns:
              阶段耗时（毫秒）
          """
          if stage.value not in self.performance_metrics.stage_start_times:

              self.logger.warning(
                  f"Stage not started | {stage.value}",
                  extra={'reqid': self.reqid, 'uid': self.uid}
              )

              return 0.0
  
          start_time = self.performance_metrics.stage_start_times[stage.value]

          end_time = time.time()
          duration_ms = (end_time - start_time) * 1000

          self.performance_metrics.stage_timings[stage.value] = duration_ms

          self.performance_metrics.stage_time_bounds_ms[stage.value] = {
              "start_unix_ms": round(start_time * 1000, 3),
              "end_unix_ms": round(end_time * 1000, 3),
          }

  
          self.logger.debug(

              f"End stage | {stage.value} | duration: {duration_ms:.2f}ms",

              extra={'reqid': self.reqid, 'uid': self.uid}
          )
          return duration_ms
  
      def get_stage_duration(self, stage: RequestContextStage) -> float:
          """
          获取指定阶段的耗时
  
          Args:
              stage: 阶段枚举
  
          Returns:
              阶段耗时（毫秒），如果未计时则返回0
          """
          return self.performance_metrics.stage_timings.get(stage.value, 0.0)
  
      def store_query_analysis(self, **kwargs) -> None:
          """
          存储查询分析结果
  
          Args:
              **kwargs: 查询分析相关的字段
          """
          for key, value in kwargs.items():
              if hasattr(self.query_analysis, key):
                  setattr(self.query_analysis, key, value)
              else:
                  self.logger.warning(

                      f"Unknown query analysis field | {key}",

                      extra={'reqid': self.reqid, 'uid': self.uid}
                  )
  
      def store_intermediate_result(self, key: str, value: Any) -> None:
          """
          存储中间结果
  
          Args:
              key: 结果键名
              value: 结果值
          """
          self.intermediate_results[key] = value

          self.logger.debug(
              f"Store intermediate result | {key}",
              extra={'reqid': self.reqid, 'uid': self.uid}
          )

  
      def get_intermediate_result(self, key: str, default: Any = None) -> Any:
          """
          获取中间结果
  
          Args:
              key: 结果键名
              default: 默认值
  
          Returns:
              中间结果值
          """
          return self.intermediate_results.get(key, default)
  
      def add_warning(self, warning: str) -> None:
          """
          添加警告信息
  
          Args:
              warning: 警告信息
          """
          self.metadata['warnings'].append(warning)
          self.logger.warning(warning, extra={'reqid': self.reqid, 'uid': self.uid})
  
      def set_error(self, error: Exception) -> None:
          """
          设置错误信息
  
          Args:
              error: 异常对象
          """
          self.metadata['error_info'] = {
              'type': type(error).__name__,
              'message': str(error),
              'details': {}
          }
          self.logger.error(

              f"Set error info | {type(error).__name__}: {str(error)}",

              extra={'reqid': self.reqid, 'uid': self.uid}
          )
  
      def has_error(self) -> bool:
          """检查是否有错误"""
          return self.metadata['error_info'] is not None
  
      def calculate_stage_percentages(self) -> Dict[str, float]:
          """
          计算各阶段耗时占总耗时的百分比
  
          Returns:
              各阶段耗时占比字典
          """
          total = self.performance_metrics.total_duration
          if total <= 0:
              return {}
  
          percentages = {}
          for stage, duration in self.performance_metrics.stage_timings.items():
              percentages[stage] = round((duration / total) * 100, 2)
  
          return percentages
  
      def get_summary(self) -> Dict[str, Any]:
          """
          获取完整的上下文摘要
  
          Returns:
              包含所有关键信息的字典
          """
          return {
              'request_info': {
                  'reqid': self.reqid,
                  'uid': self.uid,
                  'has_error': self.has_error(),
                  'warnings_count': len(self.metadata['warnings'])
              },
              'query_analysis': {
                  'original_query': self.query_analysis.original_query,

                  'query_normalized': self.query_analysis.query_normalized,

                  'rewritten_query': self.query_analysis.rewritten_query,
                  'detected_language': self.query_analysis.detected_language,
                  'domain': self.query_analysis.domain,

                  'is_simple_query': self.query_analysis.is_simple_query
              },
              'performance': {
                  'total_duration_ms': round(self.performance_metrics.total_duration, 2),
                  'stage_timings_ms': {
                      k: round(v, 2) for k, v in self.performance_metrics.stage_timings.items()
                  },

                  'stage_time_bounds_ms': {
                      stage: {
                          kk: round(vv, 3) for kk, vv in bounds.items()
                      }
                      for stage, bounds in self.performance_metrics.stage_time_bounds_ms.items()
                  },

                  'stage_percentages': self.calculate_stage_percentages()
              },
              'results': {
                  'total_hits': len(self.intermediate_results.get('processed_hits', [])),
                  'has_es_response': bool(self.intermediate_results.get('es_response')),
                  'es_query_size': len(str(self.intermediate_results.get('es_query', {})))
              },
              'metadata': {
                  'feature_flags': self.metadata['feature_flags'],
                  'search_params': self.metadata['search_params'],
                  'config_info': self.metadata['config_info']
              }
          }
  
      def log_performance_summary(self) -> None:
          """记录完整的性能摘要日志"""
          summary = self.get_summary()
  
          # 构建详细的日志消息
          msg_parts = [

              f"Search request performance summary | reqid: {self.reqid}",
              f"Total duration: {summary['performance']['total_duration_ms']:.2f}ms"

          ]
  
          # 添加各阶段耗时
          if summary['performance']['stage_timings_ms']:

              msg_parts.append("Stage durations:")

              bounds_map = summary['performance'].get('stage_time_bounds_ms') or {}

              for stage, duration in summary['performance']['stage_timings_ms'].items():
                  percentage = summary['performance']['stage_percentages'].get(stage, 0)

                  b = bounds_map.get(stage) or {}
                  if b.get('start_unix_ms') is not None and b.get('end_unix_ms') is not None:
                      msg_parts.append(
                          f"  - {stage}: {duration:.2f}ms ({percentage}%) "
                          f"[{b['start_unix_ms']:.3f} -> {b['end_unix_ms']:.3f} ms]"
                      )
                  else:
                      msg_parts.append(f"  - {stage}: {duration:.2f}ms ({percentage}%)")

  
          # 添加查询信息
          if summary['query_analysis']['original_query']:
              msg_parts.append(

                  "Query: "
                  f"'{summary['query_analysis']['original_query']}' "

                  f"-> '{summary['query_analysis']['rewritten_query']}' "
                  f"({summary['query_analysis']['detected_language']})"
              )
  
          # 添加结果统计
          msg_parts.append(

              f"Results: {summary['results']['total_hits']} hits "
              f"ES query size: {summary['results']['es_query_size']} chars"

          )
  
          # 添加错误信息（如果有）
          if summary['request_info']['has_error']:
              error_info = self.metadata['error_info']

              msg_parts.append(f"Error: {error_info['type']}: {error_info['message']}")

  
          # 添加警告信息（如果有）
          if summary['request_info']['warnings_count'] > 0:

              msg_parts.append(f"Warnings: {summary['request_info']['warnings_count']}")

  
          log_message = " | ".join(msg_parts)
  
          if self.has_error():
              self.logger.error(log_message, extra={'extra_data': summary, 'reqid': self.reqid, 'uid': self.uid})
          elif summary['request_info']['warnings_count'] > 0:
              self.logger.warning(log_message, extra={'extra_data': summary, 'reqid': self.reqid, 'uid': self.uid})
          else:
              self.logger.info(log_message, extra={'extra_data': summary, 'reqid': self.reqid, 'uid': self.uid})
  
      def __enter__(self):
          """上下文管理器入口"""
          self.start_stage(RequestContextStage.TOTAL)
          return self
  
      def __exit__(self, exc_type, exc_val, exc_tb):
          """上下文管理器出口"""
          # 结束总计时
          self.end_stage(RequestContextStage.TOTAL)
          self.performance_metrics.total_duration = self.get_stage_duration(RequestContextStage.TOTAL)
  
          # 记录性能摘要
          self.log_performance_summary()
  
          # 如果有异常，记录错误信息
          if exc_type and exc_val:
              self.set_error(exc_val)
  
  
  # 便利函数
  def create_request_context(reqid: str = None, uid: str = None) -> RequestContext:
      """创建新的请求上下文"""
      return RequestContext(reqid, uid)
  
  
  def get_current_request_context() -> Optional[RequestContext]:
      """获取当前线程的请求上下文（如果已设置）"""
      return getattr(threading.current_thread(), 'request_context', None)
  
  
  def set_current_request_context(context: RequestContext) -> None:
      """设置当前线程的请求上下文"""
      threading.current_thread().request_context = context

      _, _, tokens = bind_request_log_context(context.reqid, context.uid)
      threading.current_thread().request_log_tokens = tokens

  
  
  def clear_current_request_context() -> None:
      """清除当前线程的请求上下文"""

      tokens = getattr(threading.current_thread(), 'request_log_tokens', None)
      if tokens is not None:
          reset_request_log_context(tokens)
          delattr(threading.current_thread(), 'request_log_tokens')

      if hasattr(threading.current_thread(), 'request_context'):
          delattr(threading.current_thread(), 'request_context')