786ebf8ae6
- 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。
82 lines
2.9 KiB
Python
82 lines
2.9 KiB
Python
"""initial schema (squashed)
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单一迁移：pgvector + 当前全部 ORM 表（含 conversations.deleted_at 软删除）；并补充 models 未声明的
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story_image_intents.asset_id → assets 外键，以及每个 story 仅一条 primary intent 的唯一索引。
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chapters 含 story 物化字段：markdown_compose_dirty、markdown_composed_at、reading_segments_json
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（阅读片段快照，随 ORM 一并 create_all）。
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已并入原 0002（stories-first：无 chapter_sections / memoir_images.section_id）与原 0003（segments.tts_audio_urls）
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的语义：新库仅由当前 ORM 建表即可，无需后续 ALTER。
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conversation_messages（会话轮次 durable log）由 app.features.conversation.models.ConversationMessage 一并 create_all。
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segments.audio_duration_seconds（语音条时长秒数，历史 API / Redis 回填）由 ORM 一并 create_all，无独立迁移。
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story_image_intents 无 source_span（主图回填在正文末尾，意图仅存 caption / prompt_brief 等）。
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新库 / 删库重来：`alembic upgrade head`。
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Revision ID: 0001_initial
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Revises:
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"""
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from typing import Sequence, Union
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from alembic import op
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from sqlalchemy import text
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revision: str = "0001_initial"
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down_revision: Union[str, None] = None
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def _import_all_models() -> None:
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from app.features.asset import models as _asset_models # noqa: F401
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from app.features.auth import models as _auth_models # noqa: F401
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from app.features.conversation import models as _conv_models # noqa: F401
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from app.features.memory import models as _memory_models # noqa: F401
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from app.features.memoir import models as _memoir_models # noqa: F401
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from app.features.payment import models as _payment_models # noqa: F401
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from app.features.story import models as _story_models # noqa: F401
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from app.features.user import models as _user_models # noqa: F401
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def upgrade() -> None:
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conn = op.get_bind()
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conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector"))
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from app.core.db import Base
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_import_all_models()
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Base.metadata.create_all(bind=conn)
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op.create_foreign_key(
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"fk_story_image_intents_asset_id_assets",
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"story_image_intents",
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"assets",
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["asset_id"],
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["id"],
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ondelete="SET NULL",
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)
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op.execute(
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"""
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CREATE UNIQUE INDEX IF NOT EXISTS uq_story_primary_image_intent
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ON story_image_intents (story_id)
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WHERE intent_role = 'primary'
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"""
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)
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def downgrade() -> None:
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conn = op.get_bind()
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from app.core.db import Base
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op.execute("DROP INDEX IF EXISTS uq_story_primary_image_intent")
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op.drop_constraint(
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"fk_story_image_intents_asset_id_assets",
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"story_image_intents",
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type_="foreignkey",
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)
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_import_all_models()
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Base.metadata.drop_all(bind=conn)
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conn.execute(text("DROP EXTENSION IF EXISTS vector"))
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