mirror of
https://github.com/fawney19/Aether.git
synced 2026-01-05 17:22:28 +08:00
ad1c8c394c
- Enhance stream context for better token and latency tracking - Refactor stream processor for improved performance metrics - Improve telemetry integration with first_byte_time_ms support - Add comprehensive stream context unit tests
240 lines
8.0 KiB
Python
240 lines
8.0 KiB
Python
"""
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流式处理上下文 - 类型安全的数据类替代 dict
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提供流式请求处理过程中的状态跟踪，包括：
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- Provider/Endpoint/Key 信息
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- Token 统计
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- 响应状态
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- 请求/响应数据
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"""
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import time
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional
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@dataclass
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class StreamContext:
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"""
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流式处理上下文
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用于在流式请求处理过程中跟踪状态，替代原有的 ctx dict。
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所有字段都有类型注解，提供更好的 IDE 支持和运行时类型安全。
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"""
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# 请求基本信息
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model: str
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api_format: str
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# 请求标识信息（CLI handler 需要）
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request_id: str = ""
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user_id: int = 0
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api_key_id: int = 0
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# Provider 信息（在请求执行时填充）
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provider_name: Optional[str] = None
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provider_id: Optional[str] = None
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endpoint_id: Optional[str] = None
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key_id: Optional[str] = None
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attempt_id: Optional[str] = None
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attempt_synced: bool = False
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provider_api_format: Optional[str] = None # Provider 的响应格式
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# 模型映射
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mapped_model: Optional[str] = None
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# Token 统计
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input_tokens: int = 0
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output_tokens: int = 0
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cached_tokens: int = 0
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cache_creation_tokens: int = 0
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# 响应内容
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_collected_text_parts: List[str] = field(default_factory=list, repr=False)
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response_id: Optional[str] = None
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final_usage: Optional[Dict[str, Any]] = None
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final_response: Optional[Dict[str, Any]] = None
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# 时间指标
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first_byte_time_ms: Optional[int] = None # 首字时间 (TTFB - Time To First Byte)
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start_time: float = field(default_factory=time.time)
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# 响应状态
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status_code: int = 200
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error_message: Optional[str] = None
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has_completion: bool = False
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# 请求/响应数据
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response_headers: Dict[str, str] = field(default_factory=dict)
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provider_request_headers: Dict[str, str] = field(default_factory=dict)
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provider_request_body: Optional[Dict[str, Any]] = None
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# 格式转换信息（CLI handler 需要）
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client_api_format: str = ""
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# Provider 响应元数据（CLI handler 需要）
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response_metadata: Dict[str, Any] = field(default_factory=dict)
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# 流式处理统计
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data_count: int = 0
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chunk_count: int = 0
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parsed_chunks: List[Dict[str, Any]] = field(default_factory=list)
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def reset_for_retry(self) -> None:
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"""
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重试时重置状态
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在故障转移重试时调用，清除之前的数据避免累积。
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保留 model 和 api_format，重置其他所有状态。
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"""
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self.parsed_chunks = []
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self.chunk_count = 0
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self.data_count = 0
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self.has_completion = False
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self._collected_text_parts = []
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self.input_tokens = 0
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self.output_tokens = 0
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self.cached_tokens = 0
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self.cache_creation_tokens = 0
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self.error_message = None
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self.status_code = 200
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self.first_byte_time_ms = None
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self.response_headers = {}
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self.provider_request_headers = {}
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self.provider_request_body = None
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self.response_id = None
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self.final_usage = None
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self.final_response = None
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@property
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def collected_text(self) -> str:
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"""已收集的文本内容（按需拼接，避免在流式过程中频繁做字符串拷贝）"""
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return "".join(self._collected_text_parts)
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def append_text(self, text: str) -> None:
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"""追加文本内容（仅在需要收集文本时调用）"""
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if text:
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self._collected_text_parts.append(text)
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def update_provider_info(
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self,
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provider_name: str,
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provider_id: str,
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endpoint_id: str,
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key_id: str,
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provider_api_format: Optional[str] = None,
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) -> None:
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"""更新 Provider 信息"""
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self.provider_name = provider_name
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self.provider_id = provider_id
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self.endpoint_id = endpoint_id
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self.key_id = key_id
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self.provider_api_format = provider_api_format
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def update_usage(
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self,
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input_tokens: Optional[int] = None,
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output_tokens: Optional[int] = None,
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cached_tokens: Optional[int] = None,
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cache_creation_tokens: Optional[int] = None,
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) -> None:
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"""
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更新 Token 使用统计
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采用防御性更新策略：只有当新值 > 0 或当前值为 0 时才更新，避免用 0 覆盖已有的正确值。
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设计原理：
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- 在流式响应中，某些事件可能不包含完整的 usage 信息（字段为 0 或不存在）
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- 后续事件可能会提供完整的统计数据
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- 通过这种策略，确保一旦获得非零值就保留它，不会被后续的 0 值覆盖
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示例场景：
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- message_start 事件：input_tokens=100, output_tokens=0
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- message_delta 事件：input_tokens=0, output_tokens=50
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- 最终结果：input_tokens=100, output_tokens=50
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注意事项：
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- 此策略假设初始值为 0 是正确的默认状态
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- 如果需要将已有值重置为 0，请直接修改实例属性（不使用此方法）
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Args:
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input_tokens: 输入 tokens 数量
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output_tokens: 输出 tokens 数量
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cached_tokens: 缓存命中 tokens 数量
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cache_creation_tokens: 缓存创建 tokens 数量
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"""
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if input_tokens is not None and (input_tokens > 0 or self.input_tokens == 0):
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self.input_tokens = input_tokens
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if output_tokens is not None and (output_tokens > 0 or self.output_tokens == 0):
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self.output_tokens = output_tokens
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if cached_tokens is not None and (cached_tokens > 0 or self.cached_tokens == 0):
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self.cached_tokens = cached_tokens
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if cache_creation_tokens is not None and (
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cache_creation_tokens > 0 or self.cache_creation_tokens == 0
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):
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self.cache_creation_tokens = cache_creation_tokens
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def mark_failed(self, status_code: int, error_message: str) -> None:
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"""标记请求失败"""
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self.status_code = status_code
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self.error_message = error_message
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def record_first_byte_time(self, start_time: float) -> None:
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"""
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记录首字时间 (TTFB - Time To First Byte)
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应在第一次向客户端发送数据时调用。
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如果已记录过,则不会覆盖(避免重试时重复记录)。
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Args:
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start_time: 请求开始时间 (time.time())
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"""
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if self.first_byte_time_ms is None:
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self.first_byte_time_ms = int((time.time() - start_time) * 1000)
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def is_success(self) -> bool:
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"""检查请求是否成功"""
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return self.status_code < 400
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def build_response_body(self, response_time_ms: int) -> Dict[str, Any]:
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"""
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构建响应体元数据
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用于记录到 Usage 表的 response_body 字段。
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"""
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return {
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"chunks": self.parsed_chunks,
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"metadata": {
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"stream": True,
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"total_chunks": len(self.parsed_chunks),
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"data_count": self.data_count,
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"has_completion": self.has_completion,
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"response_time_ms": response_time_ms,
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},
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}
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def get_log_summary(self, request_id: str, response_time_ms: int) -> str:
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"""
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获取日志摘要
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用于请求完成/失败时的日志输出。
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包含首字时间 (TTFB) 和总响应时间,分两行显示。
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"""
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status = "OK" if self.is_success() else "FAIL"
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# 第一行:基本信息 + 首字时间
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line1 = (
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f"[{status}] {request_id[:8]} | {self.model} | "
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f"{self.provider_name or 'unknown'}"
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)
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if self.first_byte_time_ms is not None:
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line1 += f" | TTFB: {self.first_byte_time_ms}ms"
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# 第二行:总响应时间 + tokens
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line2 = (
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f" Total: {response_time_ms}ms | "
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f"in:{self.input_tokens} out:{self.output_tokens}"
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)
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return f"{line1}\n{line2}"
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