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refactor: 移除 Python 后端源码，全面迁移至 Rust gateway 架构
- 删除全部 Python 源码 (src/) 及 Alembic 迁移脚本，归档至 _deprecated_py_src/ - 重构 Rust gateway ai_pipeline: 拆分 planner/finalize 模块，新增 contracts/adaptation 层 - 重组 handlers 模块为 admin/public/proxy/internal/shared 子模块结构 - 新增 executor 模块，引入 Rust 原生数据库迁移 (aether-data/migrations) - 简化 CI/Docker 构建流程，移除 base image 二级构建，统一为单一 app image - 移除 Python 相关基础设施文件 (entrypoint.sh, gunicorn_conf.py, Dockerfile.base)
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fawney19
359
_deprecated_py_src/api/base/context.py
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359
_deprecated_py_src/api/base/context.py
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@@ -0,0 +1,359 @@
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from __future__ import annotations
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import asyncio
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import gzip
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import json
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import time
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import uuid
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from dataclasses import dataclass, field
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from typing import Any
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from fastapi import HTTPException, Request
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from sqlalchemy.orm import Session
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from starlette.requests import ClientDisconnect
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from src.config.settings import config
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from src.core.api_format.headers import get_header_value
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from src.core.http_compression import is_gzip_content_encoding, normalize_content_encoding
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from src.core.logger import logger
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from src.models.database import ApiKey, ManagementToken, User
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from src.utils.perf import PerfRecorder
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from src.utils.request_utils import (
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get_request_identity_metadata,
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update_request_state,
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)
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def _snapshot_optional_str(value: Any) -> str | None:
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return value.strip() if isinstance(value, str) and value.strip() else None
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def _snapshot_optional_float(value: Any) -> float | None:
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if value is None:
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return None
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if isinstance(value, bool):
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return None
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if isinstance(value, (int, float)):
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return float(value)
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if isinstance(value, str):
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raw = value.strip()
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if not raw:
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return None
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try:
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return float(raw)
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except ValueError:
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return None
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return None
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@dataclass(frozen=True)
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class _ContextBuildSnapshot:
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request_id: str
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start_time: float
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request_method: str
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request_path: str
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client_ip: str
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user_agent: str
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original_headers: dict[str, str]
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request_content_type: str | None
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query_params: dict[str, str]
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path_params: dict[str, Any]
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prefetched_balance_remaining: float | None
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gateway_execution_path: str | None
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rate_limit_scope: str | None
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tx_committed_by_route: bool
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client_content_encoding: str | None
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client_accept_encoding: str | None
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perf_metrics: dict[str, Any] | None
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@classmethod
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def from_request(cls, request: Request) -> _ContextBuildSnapshot:
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request_state = getattr(request, "state", None)
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original_headers = dict(request.headers)
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identity = get_request_identity_metadata(request)
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request_id = identity.request_id or str(uuid.uuid4())[:8]
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accept_encoding = get_header_value(original_headers, "accept-encoding")
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if isinstance(accept_encoding, str):
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accept_encoding = accept_encoding.strip() or None
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perf_metrics = getattr(request.state, "perf_metrics", None)
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perf_payload = perf_metrics if isinstance(perf_metrics, dict) and perf_metrics else None
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return cls(
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request_id=request_id,
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start_time=time.time(),
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request_method=request.method,
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request_path=request.url.path,
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client_ip=identity.client_ip,
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user_agent=identity.user_agent,
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original_headers=original_headers,
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request_content_type=get_header_value(original_headers, "content-type"),
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query_params=dict(request.query_params),
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path_params=dict(getattr(request, "path_params", {}) or {}),
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prefetched_balance_remaining=_snapshot_optional_float(
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getattr(request_state, "prefetched_balance_remaining", None)
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),
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gateway_execution_path=_snapshot_optional_str(
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getattr(request_state, "gateway_execution_path", None)
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),
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rate_limit_scope=_snapshot_optional_str(
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getattr(request_state, "rate_limit_scope", None)
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),
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tx_committed_by_route=getattr(request_state, "tx_committed_by_route", False) is True,
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client_content_encoding=normalize_content_encoding(
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get_header_value(original_headers, "content-encoding")
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),
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client_accept_encoding=accept_encoding,
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perf_metrics=perf_payload,
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)
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def _apply_context_state_markers(
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request: Request,
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*,
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request_id: str,
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user: User | None,
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api_key: ApiKey | None,
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) -> None:
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update_request_state(request, request_id=request_id)
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if user:
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update_request_state(request, user_id=user.id)
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if api_key:
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update_request_state(request, api_key_id=api_key.id)
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@dataclass
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class ApiRequestContext:
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"""统一的API请求上下文，贯穿Pipeline与格式适配器。"""
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request: Request
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db: Session
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user: User | None
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api_key: ApiKey | None
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request_id: str
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start_time: float
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request_method: str
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request_path: str
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client_ip: str
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user_agent: str
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original_headers: dict[str, str]
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query_params: dict[str, str]
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request_content_type: str | None = None
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perf_metrics: dict[str, Any] | None = None
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raw_body: bytes | None = None
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json_body: dict[str, Any] | None = None
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balance_remaining: float | None = None
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prefetched_balance_remaining: float | None = None
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mode: str = "standard" # standard / proxy
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api_format_hint: str | None = None
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# URL 路径参数（如 Gemini API 的 /v1beta/models/{model}:generateContent）
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path_params: dict[str, Any] = field(default_factory=dict)
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# Management Token（用于管理 API 认证）
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management_token: ManagementToken | None = None
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# 供适配器扩展的状态存储
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extra: dict[str, Any] = field(default_factory=dict)
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audit_metadata: dict[str, Any] = field(default_factory=dict)
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# 高频轮询端点日志抑制标志
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quiet_logging: bool = False
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gateway_execution_path: str | None = None
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rate_limit_scope: str | None = None
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tx_committed_by_route: bool = False
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client_content_encoding: str | None = None
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client_accept_encoding: str | None = None
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def _get_perf_metrics(self) -> dict[str, Any] | None:
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if isinstance(self.perf_metrics, dict):
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return self.perf_metrics
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perf_metrics = getattr(self.request.state, "perf_metrics", None)
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if isinstance(perf_metrics, dict):
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self.perf_metrics = perf_metrics
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return perf_metrics
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return None
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def sync_runtime_state_from_request(self) -> None:
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request_state = getattr(self.request, "state", None)
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self.prefetched_balance_remaining = _snapshot_optional_float(
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getattr(request_state, "prefetched_balance_remaining", self.prefetched_balance_remaining)
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)
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self.gateway_execution_path = _snapshot_optional_str(
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getattr(request_state, "gateway_execution_path", self.gateway_execution_path)
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)
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self.rate_limit_scope = _snapshot_optional_str(
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getattr(request_state, "rate_limit_scope", self.rate_limit_scope)
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)
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self.tx_committed_by_route = (
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getattr(request_state, "tx_committed_by_route", self.tx_committed_by_route) is True
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)
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async def ensure_raw_body_async(self) -> bytes:
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"""按需读取原始请求体，避免所有请求都在 Pipeline 阶段预读。"""
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if self.raw_body is not None:
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return self.raw_body
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perf_metrics = self._get_perf_metrics()
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perf_sampled = isinstance(perf_metrics, dict) and bool(perf_metrics)
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body_start = PerfRecorder.start(force=perf_sampled)
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body_size = 0
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try:
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self.raw_body = await asyncio.wait_for(
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self.request.body(), timeout=config.request_body_timeout
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)
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body_size = len(self.raw_body or b"")
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except TimeoutError as exc:
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timeout_sec = int(config.request_body_timeout)
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logger.error("读取请求体超时({}s),可能客户端未发送完整请求体", timeout_sec)
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raise HTTPException(
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status_code=408,
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detail=f"Request timeout: body not received within {timeout_sec} seconds",
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) from exc
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except ClientDisconnect:
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logger.warning(
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"[Context] 客户端在读取请求体期间断开连接: {} {}",
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self.request_method,
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self.request_path,
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)
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raise HTTPException(
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status_code=499,
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detail="Client closed request",
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)
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finally:
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body_duration = PerfRecorder.stop(
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body_start,
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"pipeline_body_read",
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labels={"mode": self.mode},
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log_hint=f"size={body_size}",
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)
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if isinstance(perf_metrics, dict):
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pipeline_metrics = perf_metrics.setdefault("pipeline", {})
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pipeline_metrics["body_read_ms"] = int((body_duration or 0) * 1000)
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pipeline_metrics["body_bytes"] = int(body_size)
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return self.raw_body or b""
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async def ensure_json_body_async(self) -> dict[str, Any]:
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"""异步懒加载 JSON 请求体。"""
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await self.ensure_raw_body_async()
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return self.ensure_json_body()
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def ensure_json_body(self) -> dict[str, Any]:
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"""确保请求体已解析为JSON并返回。"""
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if self.json_body is not None:
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return self.json_body
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if not self.raw_body:
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raise HTTPException(status_code=400, detail="请求体不能为空")
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perf_metrics = self._get_perf_metrics()
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perf_sampled = isinstance(perf_metrics, dict) and bool(perf_metrics)
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parse_start = PerfRecorder.start(force=perf_sampled)
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def _record_parse_duration(duration: float | None) -> None:
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if duration is None:
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return
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if not isinstance(perf_metrics, dict):
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return
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perf_metrics.setdefault("pipeline", {})["json_parse_ms"] = int(duration * 1000)
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body_to_parse = self.raw_body
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content_encoding = self.client_content_encoding or normalize_content_encoding(
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get_header_value(self.original_headers, "content-encoding")
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)
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if is_gzip_content_encoding(content_encoding):
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try:
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body_to_parse = gzip.decompress(body_to_parse)
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except OSError as exc:
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parse_duration = PerfRecorder.stop(
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parse_start,
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"pipeline_json_parse",
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labels={"mode": self.mode},
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)
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_record_parse_duration(parse_duration)
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logger.warning("gzip 请求体解压失败: {}", exc)
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raise HTTPException(status_code=400, detail="gzip 请求体解压失败") from exc
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try:
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self.json_body = json.loads(body_to_parse.decode("utf-8"))
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parse_duration = PerfRecorder.stop(
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parse_start,
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"pipeline_json_parse",
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labels={"mode": self.mode},
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)
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_record_parse_duration(parse_duration)
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except json.JSONDecodeError as exc:
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parse_duration = PerfRecorder.stop(
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parse_start,
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"pipeline_json_parse",
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labels={"mode": self.mode},
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)
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_record_parse_duration(parse_duration)
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logger.warning(f"解析JSON失败: {exc}")
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raise HTTPException(status_code=400, detail="请求体必须是合法的JSON") from exc
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return self.json_body
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def add_audit_metadata(self, **values: Any) -> None:
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"""向审计日志附加字段（会自动过滤 None）。"""
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for key, value in values.items():
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if value is not None:
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self.audit_metadata[key] = value
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def extend_audit_metadata(self, data: dict[str, Any]) -> None:
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"""批量附加审计字段。"""
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for key, value in data.items():
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if value is not None:
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self.audit_metadata[key] = value
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@classmethod
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def build(
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cls,
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request: Request,
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db: Session,
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user: User | None,
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api_key: ApiKey | None,
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raw_body: bytes | None = None,
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mode: str = "standard",
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api_format_hint: str | None = None,
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path_params: dict[str, Any] | None = None,
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) -> ApiRequestContext:
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"""创建上下文实例并提前读取必要的元数据。"""
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snapshot = _ContextBuildSnapshot.from_request(request)
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_apply_context_state_markers(
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request,
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request_id=snapshot.request_id,
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user=user,
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api_key=api_key,
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)
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context = cls(
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request=request,
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db=db,
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user=user,
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api_key=api_key,
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request_id=snapshot.request_id,
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start_time=snapshot.start_time,
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request_method=snapshot.request_method,
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request_path=snapshot.request_path,
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client_ip=snapshot.client_ip,
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user_agent=snapshot.user_agent,
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original_headers=snapshot.original_headers,
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request_content_type=snapshot.request_content_type,
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query_params=snapshot.query_params,
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perf_metrics=snapshot.perf_metrics,
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raw_body=raw_body,
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prefetched_balance_remaining=snapshot.prefetched_balance_remaining,
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mode=mode,
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api_format_hint=api_format_hint,
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path_params=dict(path_params or snapshot.path_params),
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gateway_execution_path=snapshot.gateway_execution_path,
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rate_limit_scope=snapshot.rate_limit_scope,
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tx_committed_by_route=snapshot.tx_committed_by_route,
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client_content_encoding=snapshot.client_content_encoding,
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client_accept_encoding=snapshot.client_accept_encoding,
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)
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if snapshot.perf_metrics is not None:
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context.extra["perf"] = snapshot.perf_metrics
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return context
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