Files
life-echo/api/app/features/conversation/history_store.py
Kevin 786ebf8ae6 refactor(api,expo): 多智能体与会话收敛、回忆录兼容层移除、后端测试集大幅删减
- 对齐「多智能体收敛」与「回忆录 stories-first / markdown-first」方向:收紧运行时契约、
  删除过渡兼容路径与双轨逻辑,并同步更新客户端与文档。

- Chat:以 ChatOrchestrator 为实时编排入口;删除独立 conversation_agent,精简 prompts。
- Memoir:删除 memory_agent;MemoirOrchestrator、classification / story_route 与 prompts 收敛到
  prepare_batches + run_story_pipeline_for_category_batch 主链路。
- 将 agents 侧 processor 迁入 feature 层为 background_runner,并移除 features 下重复/过时
  processor 封装。

- 新增 history_store,强化「conversation_messages 为 DB 真源、Redis 为缓存」模型。
- 调整 models、repo、service、session_history;精简 WS message_types,重构 pipeline 与 router。

- 移除章节占位、整章再生等旧路径;章节列表与封面逻辑要求 story 关联;收紧 cover 资格与
  enqueue。
- helpers、repo、service、router、reading_segment_materialize、story_pipeline_sync、pdf_service
  等按 canonical markdown / cover_asset_id 收缩;删除 memoir_images/provider 等冗余。
- tasks:memoir_tasks、chapter_cover_tasks 等大幅瘦身;story_image_tasks 等与当前图片任务对齐。

- core:config、logging、redis、task_tracker 小幅调整。
- auth / user / payment / quota:路由或服务侧删减过时接口或逻辑(如 payment router 行数减少)。

- pyproject.toml、development.sh、.env.example / .env.production、README 等同步说明或变量。

- Alembic 0001_initial_schema 微调(与当前 schema 叙事一致的小改动)。

- 回忆录:types / mappers / api、章节页与 memoir 页与后端契约对齐;markdown-renderer 调整。
- 语音:删除 voice/player,voice-segment-store 相应精简。

- api/tests:删除 conftest 及绝大部分既有测试文件(websocket_baseline、conversation、memoir
  图片、PDF、SMS 等),属有意收缩/待按 backend-test-system 重建的信号。
- docs:新增多智能体收敛与移除兼容层计划摘要;更新 story-first 设计、backend-test-system、
  multi-agent-refactor-plan、实施总结等。

BREAKING CHANGE: 后端对外契约、回忆录章节字段与若干路由/任务行为已变更;大量 API 测试被移除,
  CI 若依赖这些用例需按新策略补测或调整流水线。
2026-03-22 18:10:28 +08:00

145 lines
4.9 KiB
Python

"""Durable conversation turn persistence + Redis cache sync (feature layer)."""
from __future__ import annotations
import uuid
from datetime import datetime, timedelta, timezone
from typing import Any
from sqlalchemy.ext.asyncio import AsyncSession
from app.core import redis as redis_core
from app.core.logging import get_logger
from app.features.conversation import repo
from app.features.conversation.models import ConversationMessage
from app.features.conversation.session_history import (
conversation_messages_to_redis_history,
)
logger = get_logger(__name__)
def _utc_now() -> datetime:
return datetime.now(timezone.utc)
class ConversationHistoryStore:
def __init__(self, db: AsyncSession):
self._db = db
async def load_canonical_history(
self, conversation_id: str
) -> list[dict[str, Any]]:
rows = await repo.get_conversation_messages(conversation_id, self._db)
return conversation_messages_to_redis_history(rows)
async def _touch_conversation(
self, conversation_id: str, *, occurred_at: datetime
) -> None:
conversation = await repo.get_conversation(conversation_id, self._db)
if conversation is None:
return
current = getattr(conversation, "last_message_at", None)
if current is None or current < occurred_at:
conversation.last_message_at = occurred_at
async def _sync_redis_from_db(self, conversation_id: str) -> None:
hist = await self.load_canonical_history(conversation_id)
await redis_core.redis_service.set_conversation_history(conversation_id, hist)
async def _sync_redis_best_effort(self, conversation_id: str) -> None:
try:
await self._sync_redis_from_db(conversation_id)
except Exception as exc:
logger.warning("conversation history cache sync skipped: %s", exc)
async def record_ai_only_turn(
self, conversation_id: str, responses: list[str]
) -> None:
if not responses:
return
combined = "\n\n".join(responses)
created_at = _utc_now()
msg = ConversationMessage(
id=str(uuid.uuid4()),
conversation_id=conversation_id,
role="ai",
content=combined,
message_type="text",
created_at=created_at,
)
repo.add_conversation_message(msg, self._db)
await self._touch_conversation(conversation_id, occurred_at=created_at)
await self._db.commit()
await self._sync_redis_best_effort(conversation_id)
async def record_human_ai_turn(
self,
conversation_id: str,
user_message: str,
responses: list[str],
*,
user_message_timestamp: datetime | None,
is_from_voice: bool,
voice_session_id: str | None,
audio_duration_seconds: int | None,
tts_audio_urls: list[str] | None,
segment_id: str | None,
) -> None:
if not responses:
return
human_ts = user_message_timestamp or _utc_now()
if human_ts.tzinfo is None:
human_ts = human_ts.replace(tzinfo=timezone.utc)
ai_ts = human_ts + timedelta(microseconds=1)
human_type = "audio" if is_from_voice else "text"
human = ConversationMessage(
id=str(uuid.uuid4()),
conversation_id=conversation_id,
role="human",
content=user_message,
message_type=human_type,
voice_session_id=voice_session_id,
duration_seconds=audio_duration_seconds
if audio_duration_seconds is not None and audio_duration_seconds > 0
else None,
segment_id=segment_id,
created_at=human_ts,
)
combined = "\n\n".join(responses)
ai = ConversationMessage(
id=str(uuid.uuid4()),
conversation_id=conversation_id,
role="ai",
content=combined,
message_type="text",
tts_audio_urls=tts_audio_urls if tts_audio_urls else None,
segment_id=segment_id,
created_at=ai_ts,
)
repo.add_conversation_message(human, self._db)
repo.add_conversation_message(ai, self._db)
await self._touch_conversation(conversation_id, occurred_at=ai_ts)
await self._db.commit()
await self._sync_redis_best_effort(conversation_id)
async def attach_ai_tts_audio_urls(
self,
conversation_id: str,
*,
tts_audio_urls: list[str],
segment_id: str | None = None,
) -> None:
if not tts_audio_urls:
return
row = await repo.set_latest_ai_message_tts_audio_urls(
conversation_id,
self._db,
tts_audio_urls=tts_audio_urls,
segment_id=segment_id,
)
if row is None:
return
await self._db.commit()
await self._sync_redis_best_effort(conversation_id)