iomgaa
6d6b3cf59c
独立验证发现的 3 处文档欠账:
③ 两处代码内注释还挂着已作废的吞吐估算,`.env.example`/README/
CHANGELOG/ARCHITECTURE 四处早已改成实测口径:
- `config.py` 的 `# 4 条 ≈ 32 行/秒(实测…)` —— "32 行/秒"正是设计
§10 修订 #1 判定"偏乐观一倍"并作废的估算值,却挂着"实测"二字;
- `postgres.py` 的 `pool_max` docstring 写着 `稳态吞吐 ≈ pool_max /
RTT`,正是设计要求下游**不要**用的那个公式。
两处统一为实测值: RTT ≈ 123ms 上 `pool_max=4` 约 15.6 行/秒
(50 行并发批 3.2s)。设计 §8 与计划 T7 里残留的同一公式一并标注作废。
④ 文档写 `acquire(timeout=剩余预算)`,实现传的是完整预算(行为无害,
外层 `asyncio.timeout` 才是真正上界)。**改文档不改代码**: 设计
§3.1、计划 T3、ARCH §7.8 三处对齐,并写明为什么内层不再算剩余量。
⑤ wiki 登记页与正文状态漂移: design 登记页仍写"待人类审"(正文已是
"已实施")、plan 登记页写"正文 326 行"(实际 380)、log.md 末条停在
T0 之前。三处校正,T1-T8 补登记,rebuild_index。
另补一条独立验证在真实 PG 上发现的语义细节: 本地池饱和造成的丢行走
**行级丢弃**,`degraded` 保持 False,只有 `dropped_rows` 增长——只按
`degraded` 配告警的下游会完全看不见这类丢行,而它恰是 `pool_max` 配小
了的唯一信号。README / .env.example / ARCHITECTURE / CHANGELOG 各补一句。
740 lines
34 KiB
Python
740 lines
34 KiB
Python
"""配置聚合与装配期校验(M1 设计 §8;ARCH §9)。
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键族: 多源 `{SCOPE}__{PROVIDER}__{N}__{FIELD}`、scope 韧性键、平铺 LLM_*
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简写(单 scope 迁移零改名)、PGW_* 装配键。缺关键配置直接报错,严禁默认
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值兜底;scope 键与平铺键并存时 scope 键优先。
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实现说明: 多源键族是动态键名,pydantic-settings 的静态字段模型无法表达,
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故用其底层 python-dotenv 读 `.env` 并与 os.environ 合并(环境变量优先),
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fail-loud 校验语义与 pydantic-settings 一致。
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"""
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from __future__ import annotations
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import json
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import os
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from dataclasses import dataclass
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from typing import TYPE_CHECKING
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from dotenv import dotenv_values
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from loguru import logger
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from polygateway.types import (
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BackpressurePolicy,
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BreakerConfig,
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GlobalLimits,
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RetryPolicy,
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SourceConfig,
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)
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if TYPE_CHECKING:
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from collections.abc import Mapping
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# FIELD → (SourceConfig 属性, 类型);CHS config.py:95-104 全集 + M1 新增
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_SOURCE_FIELDS: dict[str, tuple[str, str]] = {
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"BASE_URL": ("base_url", "str"),
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"API_KEY": ("api_key", "str"),
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"MODEL": ("model", "str"),
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"MAX_CONCURRENCY": ("max_concurrency", "int"),
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"RPM": ("rpm", "int"),
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"TPM": ("tpm", "int"),
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"EST_TOKENS": ("est_tokens", "int"),
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"TIMEOUT_S": ("timeout_s", "float"),
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"TTFT_TIMEOUT_S": ("ttft_timeout_s", "float"),
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"INTER_TOKEN_TIMEOUT_S": ("inter_token_timeout_s", "float"),
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"ENABLE_THINKING": ("enable_thinking", "bool"),
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"MISSING_DONE": ("missing_done", "str"),
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"TRUST_ENV": ("trust_env", "bool"),
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"EXTRA_BODY": ("extra_body", "json"),
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}
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_RESERVED_SEGMENTS = frozenset({"GLOBAL", "RETRY", "BREAKER", "BACKPRESSURE"})
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_SELECTORS = frozenset({"round_robin", "least_inflight", "health_aware"})
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_QUOTA_FULL = frozenset({"wait", "fail_fast"})
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# 熔断全拒时的处置(issue #14);值域与 _QUOTA_FULL 相同但语义不同——配额满是
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# "排队等自己的份额"(必然轮到),熔断开路是"等源恢复"(未必恢复),故分列两键
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_CIRCUIT_OPEN = frozenset({"wait", "fail_fast"})
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# 后端合法域: env 解析与构造期校验共用一份定义,避免两处分叉
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_LIMITER_BACKENDS = frozenset({"memory", "redis"})
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_BREAKER_BACKENDS = frozenset({"memory", "redis"})
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_CACHE_BACKENDS = frozenset({"redis", "memory", "none"})
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_TELEMETRY_BACKENDS = frozenset({"sqlite", "postgres", "none"})
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# 遥测 schema 档位(issue #13): auto 允许 recorder 给旧表 ALTER 补列,manual 不发 DDL
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_SCHEMA_MODES = frozenset({"auto", "manual"})
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_SCHEMA_MODE_KEY = "PGW_TELEMETRY_SCHEMA_MODE"
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# 遥测正文字符上限(issue #12);二态键,未设 = 不截断
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_TEXT_CAP_KEY = "PGW_TELEMETRY_TEXT_CAP"
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# 遥测池的资源占用与写入预算(issue #15);缺省只写在这里,recorder 侧是必填参数
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_POOL_MAX_KEY = "PGW_TELEMETRY_PG_POOL_MAX"
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_WRITE_TIMEOUT_KEY = "PGW_TELEMETRY_PG_WRITE_TIMEOUT_S"
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# 4 条实测约 15.6 行/秒(跨内网 RTT ≈ 123ms 的实验室 PG,50 行并发批耗时 3.2s)。
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# **不要按 `pool_max / RTT` 折算**——那会乐观一倍(一次 INSERT 的往返比一次
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# SELECT 1 重)。够单 client 十余并发;闲时占 0 条
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_DEFAULT_PG_POOL_MAX = 4
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# 实测稳态写入 123ms、首次含建连 513ms;5s 宽松且**有界**
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_DEFAULT_PG_WRITE_TIMEOUT_S = 5.0
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_REDIS_DEPENDENT_BACKENDS = ("limiter_backend", "breaker_backend", "cache_backend")
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# 背压默认(M1 仅 poll 生效;CHS _BACKOFF_S=0.05 同源)
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_DEFAULT_STALL_WINDOW_S = 300.0
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_DEFAULT_POLL_INTERVAL_S = 0.05
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_DEFAULT_LEASE_TTL_S = 1500.0 # CHS _DEFAULT_LEASE_TTL_MS 同源
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_PROBE_GRACE_S = 5.0 # 半开探针租约相对最慢调用的清理宽限(CHS container.py:274-275)
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def _cast(raw: str, kind: str, key: str) -> object:
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try:
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if kind == "int":
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return int(raw)
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if kind == "float":
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return float(raw)
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if kind == "bool":
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lowered = raw.strip().lower()
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if lowered in ("1", "true", "yes", "on"):
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return True
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if lowered in ("0", "false", "no", "off"):
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return False
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raise ValueError(f"非法布尔值: {raw!r}")
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if kind == "json":
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# JSONDecodeError 是 ValueError 子类,复用下方的统一包装
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parsed = json.loads(raw)
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if not isinstance(parsed, dict):
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raise ValueError(f"必须是 JSON 对象(而非数组/标量): {raw!r}")
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return parsed
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return raw
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except ValueError as exc:
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raise ValueError(f"配置 {key} 解析失败: {exc}") from exc
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def _first(env: Mapping[str, str], *keys: str) -> tuple[str, str] | None:
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for key in keys:
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raw = env.get(key)
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if raw is not None and raw != "":
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return key, raw
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return None
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def _require(env: Mapping[str, str], *keys: str) -> tuple[str, str]:
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found = _first(env, *keys)
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if found is None:
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raise ValueError(f"缺关键配置: 需设置 {' 或 '.join(keys)}")
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return found
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@dataclass(frozen=True)
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class GatewaySettings:
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"""一个 scope 的完整装配配置;**任何**构造路径都通过全部装配守卫(ARCH §7.3)。
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守卫校验的是**跨字段**不变量: 单看一个字段都合法,组合起来才会在运行时
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咬人(租约先于请求过期、正常慢首包被误判卡死、半开探针在途被接管)。
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types.py 各子配置的 `__post_init__` 只看得见自己的字段,故由本类把关。
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放在 `__post_init__` 而非某个工厂里: 这些约束是本类定义的一部分,不是
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某个入口的输入检查。挂在构造期,直接构造、`dataclasses.replace` 与全部
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装配工厂一并覆盖;挂在工厂里则每加一个工厂就多一处要同步。
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"""
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scope: str
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sources: tuple[SourceConfig, ...]
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global_limits: GlobalLimits
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retry: RetryPolicy
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breaker: BreakerConfig
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backpressure: BackpressurePolicy
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selector: str
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quota_full: str
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# 熔断全拒时是当场判死还是等冷却过去(issue #14);缺省 fail_fast 保持
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# 存量下游的控制流不变,单源 scope 应显式配 wait
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circuit_open: str
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limiter_backend: str
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breaker_backend: str
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cache_backend: str
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cache_namespace: str | None
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cache_ttl_s: int | None
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telemetry_backend: str
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telemetry_sqlite_path: str | None
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telemetry_pg_dsn: str | None
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# 是否允许 recorder 给已存在的旧表自动 ALTER 补列(issue #13);env 的三态
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# 派生只写在 `_load_schema_mode` 一处,不与 recorder 的类签名漂移。
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# backend=none 时恒 False 这条跨字段不变量则由 `_validate_telemetry`
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# 把关,对直接构造与 `dataclasses.replace` 同样生效
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telemetry_auto_migrate: bool
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# 遥测落库正文的字符上限(issue #12);None = 不截断,与本字段出现之前逐字节相同。
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# 缺省不截断是人类决策: 截断后的遥测不再是审计证据、也无法用于复现与重放,而
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# 既有下游正依赖这一行为。值域(> 0)由 `_validate_telemetry` 把关,直接构造、
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# `dataclasses.replace` 与 env 三条路一并覆盖
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telemetry_text_cap: int | None
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# 遥测池对外声明的资源占用上限与整次写入的硬预算(issue #15)。库内每一处外部
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# 资源都按需建连,唯独遥测池此前预占 10 条(asyncpg 默认 `min_size`),共享实例
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# 余量紧张时先倒下的必然是它。这两个字段是库对自己占用的**显式表态**:
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# 稳态并发上限 = `pool_max`,闲时 0 条;单次写入(准备+取连接+执行)≤ 预算。
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# 值域由 `_validate_telemetry` 把关,直接构造、`dataclasses.replace` 与 env 三条路一致
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telemetry_pg_pool_max: int
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telemetry_pg_write_timeout_s: float
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redis_url: str | None
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pricing_path: str | None
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structured_max_retries: int
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lease_ttl_s: float
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def __post_init__(self) -> None:
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self._normalize()
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self._validate_identity()
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self._validate_backends()
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self._validate_cache()
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self._validate_telemetry()
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self._validate_lease()
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self._validate_stall()
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self._validate_probe()
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def _normalize(self) -> None:
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"""把 `from_env` 一直在做的规范化补到构造路上,两条路必须产出同一个值。
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`scope` 的 strip 才是要紧的那一半: 它进 Redis key(`pgw:limit:{scope}:…`
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/`pgw:gate:{scope}:…`),而两个 Redis 后端在构造函数里只 `.lower()` **不 strip**
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——`"llm "` 会产出 `pgw:limit:llm :…`,与 `from_env` 路的进程分裂成两套命名空间。
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大小写则不会: 后端自 v1.0.0 起各自 lower,`from_settings` 传 "LLM" 也落在同一
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套 key 上(此处 lower 只为让 `GatewaySettings.scope` 属性两路取值一致)。
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空串归 None 同理: 留着空串会骗过 `is None` 判断,把错误推迟到 redis 客户端
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抛连接串解析异常。`telemetry_pg_dsn` 的驱动后缀因为要看 backend 且需告警,
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规范化留在 `_validate_telemetry`。
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"""
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normalized_scope = self.scope.strip().lower()
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if normalized_scope != self.scope:
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object.__setattr__(self, "scope", normalized_scope)
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for field in ("redis_url", "pricing_path"):
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if getattr(self, field) == "":
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object.__setattr__(self, field, None)
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def _validate_identity(self) -> None:
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"""本类自身字段的基本域: 空 scope 会污染遥测与缓存命名空间;零源必然选源失败。"""
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if not self.scope.strip():
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raise ValueError("GatewaySettings.scope 不能为空")
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if not self.sources:
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raise ValueError("GatewaySettings.sources 不能为空: 至少一个源")
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if self.structured_max_retries < 0:
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raise ValueError(f"structured_max_retries 不能为负: {self.structured_max_retries}")
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def _validate_backends(self) -> None:
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"""后端选择必须落在合法域内,取 redis 的还必须有连接串。
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域外取值此前只有 `from_env` 拦得住,直接构造会一路走到 `client.py` 的
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`_build_*`,落进 else 分支静默不建后端,或撞上那里的断言。
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"""
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for field, allowed in (
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("limiter_backend", _LIMITER_BACKENDS),
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("breaker_backend", _BREAKER_BACKENDS),
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("cache_backend", _CACHE_BACKENDS),
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("telemetry_backend", _TELEMETRY_BACKENDS),
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("selector", _SELECTORS),
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("quota_full", _QUOTA_FULL),
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("circuit_open", _CIRCUIT_OPEN),
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):
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value = getattr(self, field)
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if value not in allowed:
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raise ValueError(f"{field} 非法值 {value!r};允许: {sorted(allowed)}")
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on_redis = [f for f in _REDIS_DEPENDENT_BACKENDS if getattr(self, f) == "redis"]
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if on_redis and self.redis_url is None:
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raise ValueError(f"{'、'.join(on_redis)} 取 redis 时必须提供 redis_url")
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def _validate_cache(self) -> None:
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"""启用缓存必须有命名空间与正 TTL(缺命名空间即失去租户隔离,会毒化缓存)。"""
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if self.cache_backend == "none":
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return
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if not self.cache_namespace:
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raise ValueError("启用缓存时 cache_namespace 不能为空: 缓存 key 靠它做租户隔离")
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if self.cache_ttl_s is None or self.cache_ttl_s <= 0:
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raise ValueError(f"cache_ttl_s 必须 > 0(禁止永不过期): {self.cache_ttl_s}")
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def _validate_telemetry(self) -> None:
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"""遥测后端各自的落点必填;顺带剥掉 asyncpg 不认的 SQLAlchemy 驱动后缀。
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剥而不是拒: 两条装配路对同一 DSN 应产出同一结果。但不静默——`from_env`
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那条路在 `_load_pg_dsn` 就剥干净了,能走到这里的只有手工构造的调用方,
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他有权知道库动了他给的值。
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`telemetry_auto_migrate` 同理归一化而非报错: backend=none 时根本没有
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recorder 消费它,True 是个自相矛盾却无害的状态。`from_env` 那条路的派生
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已经给出 False,归一化是为了直接构造与 `dataclasses.replace` 也一致——
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不变量挂在构造期,才不用每加一个装配工厂就多一处要同步。
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`telemetry_text_cap` 的值域则是**报错**而非归一化: 0 与负数都不是"不截断"
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的写法(不截断写 None),把它们悄悄改成 None 等于用默认值掩盖调用方的错误。
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报错文本同时点出字段名与 env 键名,两条装配路的调用方各看得懂自己那套。
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"""
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if self.telemetry_text_cap is not None and self.telemetry_text_cap <= 0:
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raise ValueError(
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f"telemetry_text_cap({_TEXT_CAP_KEY})必须 > 0: {self.telemetry_text_cap};"
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"不截断请不设该键(None),0 只会让每条正文退化成一个省略标记"
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)
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self._validate_telemetry_pool()
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if self.telemetry_backend == "none" and self.telemetry_auto_migrate:
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object.__setattr__(self, "telemetry_auto_migrate", False)
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if self.telemetry_backend == "sqlite" and not self.telemetry_sqlite_path:
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raise ValueError("telemetry_backend=sqlite 时必须提供 telemetry_sqlite_path")
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if self.telemetry_backend != "postgres":
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return
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if not self.telemetry_pg_dsn:
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raise ValueError("telemetry_backend=postgres 时必须提供 telemetry_pg_dsn")
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stripped = _strip_dsn_driver(self.telemetry_pg_dsn)
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if stripped != self.telemetry_pg_dsn:
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# 只报 scheme 段: DSN 带密码,整串不得进日志(P5 敏感信息只走 .env)
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logger.warning(
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"telemetry_pg_dsn 的 scheme 含 asyncpg 不认的驱动后缀,已由 {} 剥为 {}",
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self.telemetry_pg_dsn.partition("://")[0],
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stripped.partition("://")[0],
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)
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object.__setattr__(self, "telemetry_pg_dsn", stripped)
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def _validate_telemetry_pool(self) -> None:
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"""遥测池两个标量的值域(issue #15);与 backend 无关,三条装配路一并覆盖。
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|
不按 `telemetry_backend == "postgres"` 才校验: 值域错就是错,提前拦住
|
|
比等到有人把 backend 切成 postgres 时才炸更接近"缺失关键配置直接报错"。
|
|
报错文本同时点字段名与 env 键名(两类调用方各看得懂自己那套)。
|
|
"""
|
|
if self.telemetry_pg_pool_max < 1:
|
|
raise ValueError(
|
|
f"telemetry_pg_pool_max({_POOL_MAX_KEY})必须 >= 1: "
|
|
f"{self.telemetry_pg_pool_max};0 条上限等于永远取不到连接,遥测会全灭"
|
|
)
|
|
if self.telemetry_pg_write_timeout_s <= 0:
|
|
raise ValueError(
|
|
f"telemetry_pg_write_timeout_s({_WRITE_TIMEOUT_KEY})必须 > 0: "
|
|
f"{self.telemetry_pg_write_timeout_s};预算 0 会让每一行当场超预算被丢弃"
|
|
)
|
|
|
|
def _validate_lease(self) -> None:
|
|
"""调用超时须 ≤ permit 租约 TTL,防租约先于请求过期使并发超出配额。"""
|
|
slowest = max(s.timeout_s for s in self.sources)
|
|
if slowest > self.lease_ttl_s:
|
|
raise ValueError(
|
|
f"源最大 timeout_s({slowest})超过 permit 租约 lease_ttl_s"
|
|
f"({self.lease_ttl_s});调大 lease_ttl_s 或调小源的 timeout_s"
|
|
)
|
|
|
|
def _validate_stall(self) -> None:
|
|
"""stall 窗口须 ≥ 最慢源 TTFT 上限(保守冗余,见下)。
|
|
|
|
原理由是"防把正常慢首包误判为卡死"。issue #8 起 stall 只累计**非
|
|
生产性等待**(429 退避、配额轮询、熔断冷却),TTFT 等待属生产性时间、
|
|
已不计入 stall 账,该误判在机制上不再可能。校验本身无害且不会误拒
|
|
任何合理配置,故保留——删除它需同步改动 ARCHITECTURE.md §7.3 的契约
|
|
补强 G6,超出 issue #8 的范围(2026-08-06 人类定夺)。
|
|
"""
|
|
ttfts = [s.ttft_timeout_s for s in self.sources if s.ttft_timeout_s is not None]
|
|
if ttfts and self.backpressure.stall_window_s < max(ttfts):
|
|
raise ValueError(
|
|
f"backpressure.stall_window_s({self.backpressure.stall_window_s})须 ≥ "
|
|
f"最大源 ttft_timeout_s({max(ttfts)});调大 stall_window_s 或调小 ttft_timeout_s"
|
|
)
|
|
|
|
def _validate_probe(self) -> None:
|
|
"""半开探针租约须撑过一次最慢调用,否则探针在途即被接管(M2 设计 §3)。"""
|
|
floor = max(s.timeout_s for s in self.sources) + _PROBE_GRACE_S
|
|
if self.breaker.probe_ttl_s < floor:
|
|
raise ValueError(
|
|
f"breaker.probe_ttl_s({self.breaker.probe_ttl_s})须 ≥ 最慢源 "
|
|
f"timeout_s + {_PROBE_GRACE_S}({floor});调大 probe_ttl_s 或调小源的 timeout_s"
|
|
)
|
|
|
|
@classmethod
|
|
def from_env(
|
|
cls,
|
|
scope: str = "LLM",
|
|
env: Mapping[str, str] | None = None,
|
|
*,
|
|
env_file: str = ".env",
|
|
) -> GatewaySettings:
|
|
"""聚合 env(缺省 .env + os.environ,后者优先);守卫由 `__post_init__` 执行。"""
|
|
if env is None:
|
|
env = {
|
|
k: v for k, v in {**dotenv_values(env_file), **os.environ}.items() if v is not None
|
|
}
|
|
scope_u = scope.upper()
|
|
sources = _load_sources(scope_u, env)
|
|
global_limits = _load_global_limits(scope_u, env)
|
|
retry = _load_retry(scope_u, env)
|
|
breaker = _load_breaker(scope_u, env, sources, global_limits)
|
|
return cls(
|
|
scope=scope_u.lower(),
|
|
sources=tuple(sources),
|
|
global_limits=global_limits,
|
|
retry=retry,
|
|
breaker=breaker,
|
|
backpressure=_load_backpressure(scope_u, env),
|
|
selector=_load_choice(env, f"{scope_u}__SELECTOR", _SELECTORS, "health_aware"),
|
|
quota_full=_load_choice(env, f"{scope_u}__QUOTA_FULL", _QUOTA_FULL, "wait"),
|
|
circuit_open=_load_choice(env, f"{scope_u}__CIRCUIT_OPEN", _CIRCUIT_OPEN, "fail_fast"),
|
|
**_load_pgw(env),
|
|
)
|
|
|
|
|
|
def _load_sources(scope: str, env: Mapping[str, str]) -> list[SourceConfig]:
|
|
specs: dict[tuple[str, str], dict[str, object]] = {}
|
|
for key, raw in env.items():
|
|
parts = key.split("__")
|
|
if len(parts) != 4 or parts[0] != scope or parts[1] in _RESERVED_SEGMENTS:
|
|
continue
|
|
_, provider, index, field = parts
|
|
if field not in _SOURCE_FIELDS:
|
|
raise ValueError(f"未知源配置字段 {field}(键 {key});允许: {sorted(_SOURCE_FIELDS)}")
|
|
attr, kind = _SOURCE_FIELDS[field]
|
|
specs.setdefault((provider.lower(), index), {})[attr] = _cast(raw, kind, key)
|
|
if not specs:
|
|
raise ValueError(f"scope {scope} 未配置任何源({scope}__{{PROVIDER}}__{{N}}__{{FIELD}})")
|
|
return [
|
|
_build_source(scope, provider, index, spec, env)
|
|
for (provider, index), spec in sorted(specs.items())
|
|
]
|
|
|
|
|
|
def _build_source(
|
|
scope: str, provider: str, index: str, spec: dict[str, object], env: Mapping[str, str]
|
|
) -> SourceConfig:
|
|
prefix = f"{scope}__{provider.upper()}__{index}"
|
|
for field in ("BASE_URL", "API_KEY", "MODEL"):
|
|
attr, _ = _SOURCE_FIELDS[field]
|
|
if attr not in spec:
|
|
raise ValueError(f"缺关键配置: {prefix}__{field}")
|
|
if "timeout_s" not in spec:
|
|
key, raw = _require(env, f"{prefix}__TIMEOUT_S", "LLM_TIMEOUT")
|
|
spec["timeout_s"] = _cast(raw, "float", key)
|
|
# 平铺看门狗键作为缺省(成对才生效,遵守 SourceConfig 不变式)
|
|
if "ttft_timeout_s" not in spec and "inter_token_timeout_s" not in spec:
|
|
flat = _first(env, "LLM_TTFT_TIMEOUT")
|
|
flat_inter = _first(env, "LLM_INTER_TOKEN_TIMEOUT")
|
|
if flat and flat_inter:
|
|
spec["ttft_timeout_s"] = _cast(flat[1], "float", flat[0])
|
|
spec["inter_token_timeout_s"] = _cast(flat_inter[1], "float", flat_inter[0])
|
|
return SourceConfig(name=f"{provider}_{index}", provider=provider, **spec)
|
|
|
|
|
|
def _load_global_limits(scope: str, env: Mapping[str, str]) -> GlobalLimits:
|
|
def read(field: str) -> int:
|
|
found = _first(env, f"{scope}__GLOBAL__{field}")
|
|
return int(_cast(found[1], "int", found[0])) if found else 0
|
|
|
|
return GlobalLimits(max_concurrency=read("MAX_CONCURRENCY"), rpm=read("RPM"), tpm=read("TPM"))
|
|
|
|
|
|
def _load_retry(scope: str, env: Mapping[str, str]) -> RetryPolicy:
|
|
key_a, attempts = _require(env, f"{scope}__RETRY__MAX_ATTEMPTS", "LLM_MAX_RETRIES")
|
|
key_b, base = _require(env, f"{scope}__RETRY__BACKOFF_BASE_S", "LLM_RETRY_BASE_DELAY")
|
|
key_m, max_d = _require(env, f"{scope}__RETRY__BACKOFF_MAX_S", "LLM_RETRY_MAX_DELAY")
|
|
return RetryPolicy(
|
|
max_attempts=int(_cast(attempts, "int", key_a)),
|
|
backoff_base_s=float(_cast(base, "float", key_b)),
|
|
backoff_max_s=float(_cast(max_d, "float", key_m)),
|
|
)
|
|
|
|
|
|
def _load_breaker(
|
|
scope: str, env: Mapping[str, str], sources: list[SourceConfig], global_limits: GlobalLimits
|
|
) -> BreakerConfig:
|
|
key_t, thr = _require(env, f"{scope}__BREAKER__FAIL_THRESHOLD", "LLM_CIRCUIT_BREAKER_THRESHOLD")
|
|
key_c, cool = _require(env, f"{scope}__BREAKER__COOLDOWN_S", "LLM_CIRCUIT_BREAKER_COOLDOWN")
|
|
threshold = int(_cast(thr, "int", key_t))
|
|
cooldown_s = float(_cast(cool, "float", key_c))
|
|
# 有效阈值 = max(配置值, 源级并发×2)。M2.5 修正: 只看源级并发——M2 曾用
|
|
# 全局并发抬升(SOAK 100→阈值 200)使熔断失灵(病灶 2,设计 2026-07-21-m25)
|
|
concurrency = max((s.max_concurrency for s in sources), default=0)
|
|
if concurrency > 0:
|
|
threshold = max(threshold, concurrency * 2)
|
|
slowest = max(s.timeout_s for s in sources)
|
|
probe_floor = slowest + _PROBE_GRACE_S
|
|
probe = _first(env, f"{scope}__BREAKER__PROBE_TTL_S")
|
|
if probe is not None:
|
|
# 配置值不在此校验: 探针租约下限是跨字段不变量,由 GatewaySettings._validate_probe
|
|
# 统一把关(否则直接构造那条装配路会绕过)
|
|
probe_ttl_s = float(_cast(probe[1], "float", probe[0]))
|
|
else:
|
|
# 派生规则: 探针租约须撑过一次最慢调用,且不短于冷却期(第三项保证守卫恒成立)
|
|
probe_ttl_s = max(2 * slowest, cooldown_s, probe_floor)
|
|
# M2.5 失败率通道参数(可选键,库缺省——韧性参数缺省先例同 backpressure)
|
|
raw_min = env.get(f"{scope}__BREAKER__MIN_CALLS")
|
|
min_calls = int(_cast(raw_min, "int", f"{scope}__BREAKER__MIN_CALLS")) if raw_min else 10
|
|
fail_rate = _opt_float(env, f"{scope}__BREAKER__FAIL_RATE", 0.6)
|
|
window_s = _opt_float(env, f"{scope}__BREAKER__WINDOW_S", 60.0)
|
|
max_cooldown_s = _opt_float(env, f"{scope}__BREAKER__MAX_COOLDOWN_S", max(300.0, cooldown_s))
|
|
return BreakerConfig(
|
|
fail_threshold=threshold,
|
|
cooldown_s=cooldown_s,
|
|
probe_ttl_s=probe_ttl_s,
|
|
min_calls=min_calls,
|
|
fail_rate=fail_rate,
|
|
window_s=window_s,
|
|
max_cooldown_s=max_cooldown_s,
|
|
)
|
|
|
|
|
|
def _opt_float(env: Mapping[str, str], key: str, default: float) -> float:
|
|
"""可选韧性参数: 缺省用库值,显式配置则解析(坏值 fail-loud)。"""
|
|
raw = env.get(key)
|
|
if raw is None or raw == "":
|
|
return default
|
|
return float(_cast(raw, "float", key))
|
|
|
|
|
|
def _load_backpressure(scope: str, env: Mapping[str, str]) -> BackpressurePolicy:
|
|
stall = _first(env, f"{scope}__BACKPRESSURE__STALL_WINDOW_S")
|
|
poll = _first(env, f"{scope}__BACKPRESSURE__POLL_INTERVAL_S")
|
|
return BackpressurePolicy(
|
|
stall_window_s=float(_cast(stall[1], "float", stall[0]))
|
|
if stall
|
|
else _DEFAULT_STALL_WINDOW_S,
|
|
poll_interval_s=float(_cast(poll[1], "float", poll[0]))
|
|
if poll
|
|
else _DEFAULT_POLL_INTERVAL_S,
|
|
)
|
|
|
|
|
|
def _load_choice(env: Mapping[str, str], key: str, allowed: frozenset[str], default: str) -> str:
|
|
found = _first(env, key)
|
|
value = found[1] if found else default
|
|
if value not in allowed:
|
|
raise ValueError(f"配置 {key} 非法值 {value!r};允许: {sorted(allowed)}")
|
|
return value
|
|
|
|
|
|
def _load_pgw(env: Mapping[str, str]) -> dict[str, object]:
|
|
# 合法域与构造期守卫共用常量;此处的检查保留是为了报错能点出 env 键名,
|
|
# 构造期那道点的是字段名(两类调用方各看得懂自己那套)
|
|
limiter_backend = _load_choice(env, "PGW_LIMITER_BACKEND", _LIMITER_BACKENDS, "memory")
|
|
breaker_backend = _load_choice(env, "PGW_BREAKER_BACKEND", _BREAKER_BACKENDS, "memory")
|
|
_, cache_backend = _require(env, "PGW_CACHE_BACKEND")
|
|
_, telemetry_backend = _require(env, "PGW_TELEMETRY_BACKEND")
|
|
if cache_backend not in _CACHE_BACKENDS:
|
|
raise ValueError(f"PGW_CACHE_BACKEND 非法值 {cache_backend!r}")
|
|
if telemetry_backend not in _TELEMETRY_BACKENDS:
|
|
raise ValueError(f"PGW_TELEMETRY_BACKEND 非法值 {telemetry_backend!r}")
|
|
redis_url = env.get("REDIS_URL") or None
|
|
if "redis" in (limiter_backend, breaker_backend) and redis_url is None:
|
|
raise ValueError("缺关键配置: 限流/熔断后端取 redis 需设置 REDIS_URL")
|
|
auto_migrate = _load_schema_mode(env, telemetry_backend)
|
|
return {
|
|
"limiter_backend": limiter_backend,
|
|
"breaker_backend": breaker_backend,
|
|
"cache_backend": cache_backend,
|
|
**_load_cache_keys(env, cache_backend, redis_url),
|
|
"telemetry_backend": telemetry_backend,
|
|
"telemetry_sqlite_path": _require(env, "PGW_TELEMETRY_SQLITE_PATH")[1]
|
|
if telemetry_backend == "sqlite"
|
|
else None,
|
|
"telemetry_pg_dsn": _load_pg_dsn(env) if telemetry_backend == "postgres" else None,
|
|
"telemetry_auto_migrate": auto_migrate,
|
|
"telemetry_text_cap": _load_text_cap(env),
|
|
"telemetry_pg_pool_max": _load_pool_max(env),
|
|
"telemetry_pg_write_timeout_s": _load_write_timeout(env),
|
|
"redis_url": redis_url,
|
|
"pricing_path": env.get("PGW_PRICING_PATH") or None,
|
|
"structured_max_retries": _load_structured_retries(env),
|
|
"lease_ttl_s": _load_lease_ttl(env),
|
|
}
|
|
|
|
|
|
def _load_schema_mode(env: Mapping[str, str], telemetry_backend: str) -> bool:
|
|
"""把 `PGW_TELEMETRY_SCHEMA_MODE` 的三态解成 `telemetry_auto_migrate`(issue #13)。
|
|
|
|
三态: 键未设 → 按后端**不对称**派生;显式 auto/manual → 两侧都可覆盖。
|
|
不对称的理由是两个后端的风险量级不同: SQLite 是下游自己的本地文件(没有
|
|
DBA、没有迁移工具、没有第二个系统碰它),ALTER 是毫秒级元数据操作,要求
|
|
手工跑 SQL 是给零运维场景强加运维步骤;PG 是共享的生产表,ALTER 取
|
|
ACCESS EXCLUSIVE 锁会排在长事务后阻塞该表其后的所有查询,而遥测是业务
|
|
路径上的内联 await。
|
|
|
|
`_load_choice` 带 default,不能直接用来读这个键——default 会把"未设"和
|
|
"设成默认值"抹平成同一种,三态就塌回两态,后端派生也就再没机会生效。故
|
|
先用 `_first` 探"设没设",确认设了才交给 `_load_choice` 做值域校验(错误
|
|
信息点出 env 键名这件事仍由它负责)。
|
|
|
|
Args:
|
|
env: 已合并的环境映射。
|
|
telemetry_backend: 已校验过值域的遥测后端名。
|
|
|
|
Returns:
|
|
recorder 是否获准给旧表自动 ALTER 补列;backend=none 时无人消费,
|
|
构造期守卫会再把它归一化为 False。
|
|
"""
|
|
if _first(env, _SCHEMA_MODE_KEY) is None:
|
|
return telemetry_backend == "sqlite"
|
|
return _load_choice(env, _SCHEMA_MODE_KEY, _SCHEMA_MODES, "auto") == "auto"
|
|
|
|
|
|
def _load_text_cap(env: Mapping[str, str]) -> int | None:
|
|
"""读 `PGW_TELEMETRY_TEXT_CAP`(issue #12);键未设即 None = 不截断。
|
|
|
|
与相邻的 `PGW_TELEMETRY_SCHEMA_MODE` 不同,这个键是**二态**而非三态:
|
|
"未设"本身就是最终答案(不截断),没有需要按后端派生的第二种缺省,故不必像
|
|
那边一样先探"设没设"再分两条路取值,读到什么解什么即可。
|
|
|
|
值域(> 0)刻意不在此处判: 构造期守卫那道同时覆盖直接构造与
|
|
`dataclasses.replace`,而报错文本已点出本键名,env 路的调用方不会看丢。
|
|
|
|
Args:
|
|
env: 已合并的环境映射。
|
|
|
|
Returns:
|
|
遥测正文的字符上限;键未设或为空串时返回 None(不截断)。
|
|
"""
|
|
found = _first(env, _TEXT_CAP_KEY)
|
|
if found is None:
|
|
return None
|
|
return int(_cast(found[1], "int", found[0]))
|
|
|
|
|
|
def _load_pool_max(env: Mapping[str, str]) -> int:
|
|
"""读 `PGW_TELEMETRY_PG_POOL_MAX`(issue #15);未设即缺省 4。
|
|
|
|
与 `_load_text_cap` 同为二态键,只是"未设"落到一个具体缺省而非 None:
|
|
池上限没有"不设上限"这一档——不表态就是继承第三方默认值,而那正是本 issue
|
|
的病灶。值域(>= 1)留给构造期守卫,它同时覆盖直接构造与 `dataclasses.replace`。
|
|
|
|
Args:
|
|
env: 已合并的环境映射。
|
|
|
|
Returns:
|
|
遥测池允许的最大连接数。
|
|
"""
|
|
found = _first(env, _POOL_MAX_KEY)
|
|
if found is None:
|
|
return _DEFAULT_PG_POOL_MAX
|
|
return int(_cast(found[1], "int", found[0]))
|
|
|
|
|
|
def _load_write_timeout(env: Mapping[str, str]) -> float:
|
|
"""读 `PGW_TELEMETRY_PG_WRITE_TIMEOUT_S`(issue #15);未设即缺省 5.0 秒。
|
|
|
|
这个值同时是 connect、acquire 与整次写入的上界: 遥测是业务路径上的内联
|
|
await,"不设预算"不是一个允许存在的档位(铁律"丢一条 < 拖垮调用")。
|
|
|
|
Args:
|
|
env: 已合并的环境映射。
|
|
|
|
Returns:
|
|
单次遥测写入的硬预算(秒)。
|
|
"""
|
|
found = _first(env, _WRITE_TIMEOUT_KEY)
|
|
if found is None:
|
|
return _DEFAULT_PG_WRITE_TIMEOUT_S
|
|
return float(_cast(found[1], "float", found[0]))
|
|
|
|
|
|
def _strip_dsn_driver(dsn: str) -> str:
|
|
"""剥 SQLAlchemy 风格的 `+driver` 后缀(asyncpg 不认);已干净的原样返回。"""
|
|
scheme, sep, rest = dsn.partition("://")
|
|
return f"{scheme.partition('+')[0]}{sep}{rest}"
|
|
|
|
|
|
def _load_pg_dsn(env: Mapping[str, str]) -> str:
|
|
"""读取 Postgres DSN 并剥驱动后缀。
|
|
|
|
env 路在此剥干净,构造期那道就无事可做——三项目 `.env` 里的 SQLAlchemy
|
|
写法不会每次装配都刷一条 warning。
|
|
"""
|
|
_, dsn = _require(env, "PGW_TELEMETRY_PG_DSN")
|
|
return _strip_dsn_driver(dsn)
|
|
|
|
|
|
def _load_cache_keys(
|
|
env: Mapping[str, str], cache_backend: str, redis_url: str | None
|
|
) -> dict[str, object]:
|
|
if cache_backend == "none":
|
|
return {"cache_namespace": None, "cache_ttl_s": None}
|
|
_, namespace = _require(env, "PGW_CACHE_NAMESPACE")
|
|
key, ttl_raw = _require(env, "PGW_CACHE_TTL_S")
|
|
ttl = int(_cast(ttl_raw, "int", key))
|
|
if ttl <= 0:
|
|
raise ValueError("PGW_CACHE_TTL_S(TTL)必须 > 0,禁止永不过期")
|
|
if cache_backend == "redis" and redis_url is None:
|
|
raise ValueError("缺关键配置: PGW_CACHE_BACKEND=redis 需设置 REDIS_URL")
|
|
return {"cache_namespace": namespace, "cache_ttl_s": ttl}
|
|
|
|
|
|
def _load_structured_retries(env: Mapping[str, str]) -> int:
|
|
found = _first(env, "PGW_STRUCTURED_MAX_RETRIES")
|
|
value = int(_cast(found[1], "int", found[0])) if found else 2 # M2.5 迭代4: 1→2
|
|
if value < 0:
|
|
raise ValueError("PGW_STRUCTURED_MAX_RETRIES 不能为负")
|
|
return value
|
|
|
|
|
|
def _load_lease_ttl(env: Mapping[str, str]) -> float:
|
|
found = _first(env, "PGW_LEASE_TTL_S")
|
|
return float(_cast(found[1], "float", found[0])) if found else _DEFAULT_LEASE_TTL_S
|
|
|
|
|
|
@dataclass(frozen=True)
|
|
class EmbeddingSettings:
|
|
"""Embedding scope 装配配置(M2 §7): 复用 GatewaySettings + embedding 专用键。
|
|
|
|
专用键不进 GatewaySettings(LLM scope 不受影响): `{SCOPE}__BATCH_SIZE`
|
|
必填(分批是行为关键,不设默认)、`{SCOPE}__NORMALIZE`/`{SCOPE}__EXPECTED_DIM`
|
|
可选。cache/structured 键对 embedding 无意义,装配时忽略。
|
|
"""
|
|
|
|
gateway: GatewaySettings
|
|
batch_size: int
|
|
normalize: bool = False
|
|
expected_dim: int | None = None
|
|
|
|
def __post_init__(self) -> None:
|
|
"""自身字段的域校验;内嵌的 gateway 由 `GatewaySettings.__post_init__` 自己把关。"""
|
|
if self.batch_size < 1:
|
|
raise ValueError(f"EmbeddingSettings.batch_size 必须 ≥ 1: {self.batch_size}")
|
|
if self.expected_dim is not None and self.expected_dim < 1:
|
|
raise ValueError(f"EmbeddingSettings.expected_dim 必须 ≥ 1: {self.expected_dim}")
|
|
|
|
@classmethod
|
|
def from_env(
|
|
cls,
|
|
scope: str = "EMBED",
|
|
env: Mapping[str, str] | None = None,
|
|
*,
|
|
env_file: str = ".env",
|
|
) -> EmbeddingSettings:
|
|
if env is None:
|
|
env = {
|
|
k: v for k, v in {**dotenv_values(env_file), **os.environ}.items() if v is not None
|
|
}
|
|
scope_u = scope.upper()
|
|
gateway = GatewaySettings.from_env(scope_u, env=env)
|
|
key, raw = _require(env, f"{scope_u}__BATCH_SIZE")
|
|
batch_size = int(_cast(raw, "int", key))
|
|
if batch_size < 1:
|
|
raise ValueError(f"{scope_u}__BATCH_SIZE 必须 ≥ 1")
|
|
norm = _first(env, f"{scope_u}__NORMALIZE")
|
|
dim = _first(env, f"{scope_u}__EXPECTED_DIM")
|
|
expected_dim = int(_cast(dim[1], "int", dim[0])) if dim else None
|
|
if expected_dim is not None and expected_dim < 1:
|
|
raise ValueError(f"{scope_u}__EXPECTED_DIM 必须 ≥ 1")
|
|
return cls(
|
|
gateway=gateway,
|
|
batch_size=batch_size,
|
|
normalize=bool(_cast(norm[1], "bool", norm[0])) if norm else False,
|
|
expected_dim=expected_dim,
|
|
)
|
|
|
|
|
|
@dataclass(frozen=True)
|
|
class OcrSettings:
|
|
"""OCR scope 装配配置(M3 设计 §3.4): 复用 GatewaySettings,无 OCR 专用键。
|
|
|
|
cache/structured/pricing 键对 OCR 无意义,装配时忽略;TPM 闸不启用
|
|
(tpm=0)、看门狗键不配(非流式)由源键缺省自然达成。api_key 惯例填
|
|
"none"(MonkeyOCR 无鉴权,SourceConfig 非空校验用占位)。
|
|
"""
|
|
|
|
gateway: GatewaySettings
|
|
|
|
@classmethod
|
|
def from_env(
|
|
cls,
|
|
scope: str = "OCR",
|
|
env: Mapping[str, str] | None = None,
|
|
*,
|
|
env_file: str = ".env",
|
|
) -> OcrSettings:
|
|
if env is None:
|
|
env = {
|
|
k: v for k, v in {**dotenv_values(env_file), **os.environ}.items() if v is not None
|
|
}
|
|
return cls(gateway=GatewaySettings.from_env(scope.upper(), env=env))
|