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)
75 lines
2.2 KiB
Python
75 lines
2.2 KiB
Python
"""对话落库返回人/助 message id,供 segment lineage 配对。"""
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from __future__ import annotations
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from contextlib import asynccontextmanager
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.features.conversation.history_store import HumanAiTurnIds
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@asynccontextmanager
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async def _capture_transactional(db):
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yield db
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await db.commit()
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@pytest.mark.asyncio
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async def test_record_human_ai_turn_returns_both_message_ids() -> None:
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conv_id = "conv-1"
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captured: list[object] = []
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class FakeMsg:
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def __init__(self, **kwargs) -> None:
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for k, v in kwargs.items():
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setattr(self, k, v)
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class _FakeRepo:
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@staticmethod
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def add_conversation_message(msg: object, db) -> None:
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captured.append(msg)
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db = MagicMock(spec=AsyncSession)
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db.commit = AsyncMock()
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with patch(
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"app.features.conversation.history_store.transactional",
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_capture_transactional,
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), patch(
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"app.features.conversation.history_store.ConversationMessage",
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FakeMsg,
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), patch(
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"app.features.conversation.history_store.repo",
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_FakeRepo,
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):
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from app.features.conversation import history_store as hs
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store = hs.ConversationHistoryStore(db)
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store._sync_redis_best_effort = AsyncMock() # type: ignore[method-assign]
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store._touch_conversation = AsyncMock() # type: ignore[method-assign]
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out = await store.record_human_ai_turn(
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conv_id,
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"hello",
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["reply a", "reply b"],
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user_message_timestamp=None,
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is_from_voice=False,
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voice_session_id=None,
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audio_duration_seconds=None,
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tts_audio_urls=None,
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segment_id="seg-1",
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memory_retrieval_trace=None,
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)
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assert isinstance(out, HumanAiTurnIds)
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assert len(captured) == 2
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assert captured[0].role == "human"
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assert captured[1].role == "ai"
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assert captured[0].segment_id == "seg-1"
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assert out.human_message_id == captured[0].id
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assert out.assistant_message_id == captured[1].id
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db.commit.assert_awaited_once()
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