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refactor(api): TOML 配置 SSOT、统一错误契约、Auth/事务加固与可观测性 (#33)

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配置 SSOT（TOML + .env）
统一错误契约
Auth 与事务边界
Redis / Celery 可靠性:业务 Redis（DB/0）与 Celery broker/backend（DB/1）显式拆分；连接池、sync client
可观测性（OpenTelemetry + LGTM）
This commit is contained in:
Sully
2026-05-22 13:44:50 +08:00
committed by GitHub
parent f09ae248f9
commit 53e0065e3e
298 changed files with 15247 additions and 4344 deletions
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19
api/tests/test_eval_judge_llm_spec.py
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@@ -4,6 +4,7 @@ import pytest
from app.core.config import settings
from app.core.dependencies import build_eval_judge_llm_spec
from app.features.evaluation.constants import eval_cfg
from app.features.evaluation.judge_service import (
eval_judge_compare_transcript_each_max_chars_for_context,
eval_judge_conversation_transcript_max_chars_for_context,
@@ -13,22 +14,21 @@ from app.features.evaluation.judge_service import (
def test_build_eval_judge_zhipu_uses_bigmodel_defaults(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(settings, "eval_judge_api_key", "")
monkeypatch.setattr(settings, "zhipu_api_key", "z-test")
monkeypatch.setattr(settings, "eval_judge_model", "glm-5")
monkeypatch.setattr(eval_cfg, "judge_model", "glm-5")
spec = build_eval_judge_llm_spec("zhipu", None)
assert spec is not None
assert spec.provider == "zhipu"
assert spec.resolved_model == "glm-5"
assert spec.llm is not None
assert spec.context_window_tokens == settings.eval_judge_context_window_tokens
assert spec.context_window_tokens == eval_cfg.judge_context_window_tokens
def test_build_eval_judge_zhipu_request_model_override(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(settings, "eval_judge_api_key", "e-test")
monkeypatch.setattr(settings, "eval_judge_model", "glm-5")
monkeypatch.setattr(settings, "zhipu_api_key", "e-test")
monkeypatch.setattr(eval_cfg, "judge_model", "glm-5")
spec = build_eval_judge_llm_spec("zhipu", "glm-4-plus")
assert spec is not None
assert spec.resolved_model == "glm-4-plus"
@@ -38,7 +38,6 @@ def test_build_eval_judge_deepseek_requires_key(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(settings, "deepseek_api_key", "")
monkeypatch.setattr(settings, "llm_api_key", "")
assert build_eval_judge_llm_spec("deepseek", None) is None
@@ -47,8 +46,8 @@ def test_build_eval_judge_deepseek_v4_flash_non_thinking_default_path(
) -> None:
"""默认 deepseek-v4-flash 且关闭 thinking 时显式传 disabled（避免 API 默认 enabled）。"""
monkeypatch.setattr(settings, "deepseek_api_key", "d-test")
monkeypatch.setattr(settings, "eval_judge_deepseek_model", "deepseek-v4-flash")
monkeypatch.setattr(settings, "eval_judge_deepseek_thinking_enabled", False)
monkeypatch.setattr(eval_cfg, "judge_deepseek_model", "deepseek-v4-flash")
monkeypatch.setattr(eval_cfg, "judge_deepseek_thinking_enabled", False)
spec = build_eval_judge_llm_spec("deepseek", None)
assert spec is not None
assert spec.resolved_model == "deepseek-v4-flash"
@@ -60,8 +59,8 @@ def test_build_eval_judge_deepseek_context_budget(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(settings, "deepseek_api_key", "d-test")
monkeypatch.setattr(settings, "eval_judge_deepseek_model", "deepseek-reasoner")
monkeypatch.setattr(settings, "eval_judge_deepseek_context_window_tokens", 64_000)
monkeypatch.setattr(eval_cfg, "judge_deepseek_model", "deepseek-reasoner")
monkeypatch.setattr(eval_cfg, "judge_deepseek_context_window_tokens", 64_000)
spec = build_eval_judge_llm_spec("deepseek", None)
assert spec is not None
assert spec.provider == "deepseek"