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Add app_settings migration, settings UI, and OpenAI-compatible httpx LLM client with mocked tests. Preserve API keys on blank form submissions, require a fresh key when base_url changes, and keep AI search settings untouched for step 3. Update docs/design LLM integration and step 3 AI search notes, including prompt contract and extra-hints planning.
354 lines
27 KiB
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354 lines
27 KiB
Markdown
# 设计文档 · LLM 接入与迁移地基 / Design · LLM Integration & Migration Foundation
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> 中英双语。这是「下一轮改动」的总体设计（high-level design），实施步骤见 [`implementation-plan.md`](./implementation-plan.md)。
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> Bilingual. High-level design for the next round of changes; step-by-step plan in [`implementation-plan.md`](./implementation-plan.md).
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>
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> 状态 / Status：**已定稿，待实现 / Agreed, pending implementation**
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> 基线 / Base：`main` @ `b9b6583`
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---
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## 0. 本轮范围 / Scope of This Round
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**本轮只做三件事 / This round delivers exactly three things：**
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1. **引入 Alembic 数据库迁移系统**（含一层封装，让应用不直接接触 Alembic 细节）。
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Introduce **Alembic** as the migration system (with a thin wrapper so the app never touches Alembic directly).
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2. **LLM 接入**：一个配置页 + 配置落库 + 一个可复用的 LLM 客户端。
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**LLM integration**: a config page + DB-persisted config + a reusable LLM client.
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3. **最基础的 AI 搜索**：搜索页常驻一个「AI 智能搜索」动作，用查询词扩展增强结果。
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**Basic AI search**: a persistent "AI search" action on the search page, powered by query-term expansion.
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**本轮明确不做（留作未来）/ Explicitly out of scope this round（future）：**
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- 图片内容分析（`image_description` 列、视觉模型调用、手动/批量/夜间生成）。
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Image content analysis (`image_description` columns, vision calls, manual/batch/nightly generation).
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- 向量嵌入 + 相似度语义搜索（AI 搜索的"高阶版"）。
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Vector embeddings + similarity semantic search (the "advanced" AI search).
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- 多图、OCR、鉴权、标签系统等（见仓库简报 §15 / see brief §15）。
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> 架构会为上述未来项**预留接口**（§9），但本轮不实现。
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> The architecture **leaves seams** for the above (§9) without implementing them now.
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---
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## 1. 设计原则 / Guiding Principles
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- **AI 是加分项，不是依赖 / AI is additive, never required.**
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未配置或调用失败时，整站行为与今天**完全一致**。AI 只在"能用且开启"时才介入。
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When unconfigured or on failure, the app behaves **exactly as today**. AI engages only when configured and enabled.
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- **单一 schema 事实来源 / One source of truth for schema.**
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Alembic 接管建表与变更；退休手写的 `_sync_sqlite_image_columns()`。
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Alembic owns schema creation and changes; retire the hand-rolled `_sync_sqlite_image_columns()`.
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- **依赖最小化 / Minimal dependencies.**
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复用已在 `requirements.txt` 的 `httpx` 调 OpenAI 兼容接口；本轮**唯一新增依赖是 `alembic`**。
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Reuse the existing `httpx` for OpenAI-compatible calls; the **only new dependency is `alembic`**.
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- **保持现有形态 / Keep the current shape.**
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仍是 FastAPI + Jinja2 SSR + SQLite，无前端构建链；新页面沿用现有模板风格。
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Still FastAPI + Jinja2 SSR + SQLite, no frontend build; new pages follow existing template style.
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- **测试不联网、数据隔离 / Tests stay offline and isolated.**
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LLM 客户端做成单一可 mock 边界；迁移在测试中真实执行（临时 SQLite）。
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The LLM client is a single mockable boundary; migrations actually run in tests (throwaway SQLite).
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- **可信内网安全姿态 / Trusted-LAN posture.**
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无鉴权（仅内网/VPN 访问）；API Key 明文落库为业主在其威胁模型下的明确选择（§7）。
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No auth (LAN/VPN only); plaintext API key in DB is the owner's explicit choice under their threat model (§7).
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---
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## 2. 总体架构 / Architecture Overview
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```text
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┌─────────────────────────────────────────────┐
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HTTP (SSR) │ app/main.py │
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───────────────────► │ 路由 / routes + 请求编排 / orchestration │
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└───┬───────────────┬───────────────┬─────────┘
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│ │ │
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┌────────▼──────┐ ┌──────▼───────┐ ┌──────▼────────┐
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│ app/llm.py │ │ app_settings │ │ 搜索逻辑 │
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│ LLM 客户端 │ │ 读写 helper │ │ AI 检索 seam │
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│ (httpx) │ │ (KV in DB) │ │ (可替换) │
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└───────────────┘ └──────┬───────┘ └───────────────┘
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│
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┌───────────────────▼─────────────────────────┐
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│ app/migrate.py │
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│ 启动 / boot: verify_schema_is_current() 只读 │
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│ └─ 与 head 不一致 → fail-close，拒绝启动 │
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│ 命令 / CLI `python -m app.migrate`（幂等）: │
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│ └─ 空库建库 / 认领老库 / upgrade（见 §3） │
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└───────────────────┬─────────────────────────┘
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│ command.upgrade / stamp（仅迁移命令 / migration command only）
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┌───────────────────▼─────────────────────────┐
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│ Alembic (alembic.ini + migrations/) │
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│ V1 baseline → V2(app_settings) → … │
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└───────────────────┬─────────────────────────┘
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│
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┌─────▼─────┐
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│ SQLite │
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└───────────┘
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```
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新增模块 / New modules：`app/migrate.py`（Alembic 封装）、`app/llm.py`（LLM 客户端）、`migrations/`（Alembic 工程）、`app/templates/settings/`（配置页）。
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改动模块 / Touched：`app/db.py`、`app/main.py`、`app/models.py`、`app/templates/base.html`、`Dockerfile`、`requirements.txt`、`tests/`。
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---
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## 3. 迁移子系统 / Migration Subsystem (Alembic)
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### 3.1 为什么 / Why
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配置表与未来的新列（如 `tag`、`image_description`）都需要可重复、可审阅的迁移；现有手写列同步只能补图片列，无法长期支撑。
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A config table and future columns need repeatable, reviewable migrations; the hand-rolled column sync only patches image columns and won't scale.
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### 3.2 收敛不变量 / The Convergence Invariant
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**所有数据库最终都收敛到同一个 `head`。`V1 baseline` 必须严格等于"今天的真实 schema"（三张表 + 现有图片列），不多一列。**
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All databases converge to the same `head`. The `V1 baseline` must equal **today's actual schema exactly** (the three tables + existing image columns) — nothing more.
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```text
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迁移链 / chain: V1(baseline = 现状) ──► V2(app_settings) ──► …未来… ──► head
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老的生产库 / existing prod DB: stamp 到 V1（只写版本号，不建表，不碰数据） ──► upgrade ──► head
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全新/空库 / fresh DB: 跑 V1（真正建三张表） ───────────────────────► upgrade ──► head
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↑ 终点一致 / same end state
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```
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> `stamp` 只向 `alembic_version` 写一条版本记录，**不执行任何 DDL、不修改数据**。这是安全认领已有库的关键。
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> `stamp` only writes a row into `alembic_version`; it runs **no DDL and touches no data**. This is the key to safely adopting an existing DB.
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### 3.3 运行时机：校验与迁移分离 / Migrations Run Separately from Startup
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**关键决策：迁移不在应用启动时发生。** 启动只做**只读校验**，迁移由一个独立、显式的命令/步骤执行。
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**Key decision: migrations do not happen at app startup.** Startup only **verifies** (read-only); migrating is an explicit, separate step.
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- **启动校验（fail-close）/ Startup check (fail-closed)：** `app/db.py::init_db()` 调 `app/migrate.py::verify_schema_is_current(url)`，比较 DB 当前 revision 与 `head`：
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- 一致 → 正常启动 / match → start normally。
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- 不一致（含空库、未认领的老库）→ **fail-close**：输出清晰日志、拒绝提供服务、提示先跑迁移步骤；**不执行任何 DDL、不碰数据**。
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Mismatch (incl. empty or un-adopted DBs) → **fail closed**: clear log, refuse to serve, no DDL, no data change.
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- **迁移命令 / The migration command：** 独立、显式、**幂等**的 `python -m app.migrate`（逻辑在 `app/migrate.py`）。已在 `head` 则空操作并退出 0，便于每次部署都安全重跑。
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A separate, explicit, **idempotent** `python -m app.migrate`. No-op (exit 0) when already at `head`, so it is safe to re-run on every deploy.
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- 退休手写列同步 / Retire the hand-rolled sync：`_sync_sqlite_image_columns()` 删除，schema 由 Alembic 单一接管。
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`_sync_sqlite_image_columns()` is removed; Alembic is the sole owner of schema.
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为什么 / Why：避免"启动副作用式迁移"、避免多实例并发迁移竞态；当 code 与 DB 不一致时，**宁可不启动也不带病运行**。
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Avoids surprise startup migrations and concurrent-migration races; on a code/DB mismatch it refuses to run rather than run wrong.
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### 3.4 迁移命令的三种情况 / The Migration Command's Three Cases
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`python -m app.migrate` 用 SQLAlchemy inspector 判定，分三种：
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`python -m app.migrate` inspects the DB and branches three ways:
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| 库的状态 / DB state | 动作 / Action |
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| --- | --- |
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| **空库 / empty** | `upgrade head`（建库并升到最新 / create & upgrade to head） |
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| **老库且与 baseline 一致 / existing, matches baseline（2a）** | `stamp V1` → `upgrade head`（认领后升级 / adopt then upgrade） |
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| **老库但与 baseline 不一致 / existing, mismatched（2b）** | **fail-close，不做任何改动 / fail closed, no changes** |
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> **一致性比对的基准是 baseline(V1)，不是 head。** 未认领的老库结构停在 V1（不含 `app_settings` 等后续内容），若拿 head 去比会把合法老库误判为不一致。
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> The match is compared against the **baseline (V1)**, not `head` — an un-adopted DB sits at V1 and would wrongly look "mismatched" if compared against head.
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>
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> ⚠️ SQLite 的 autogenerate 比对存在假阳性（类型亲和、索引命名等），可能让 2b 误 fail。实现上需用**容忍性比对**或允许**人工确认覆盖**（见 §3.6 验证）。
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> SQLite autogenerate has false positives; 2b should use a tolerant comparison or allow a documented manual override (see §3.6).
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### 3.5 部署形态：Compose db-migration 闸门 / Deployment Shape: a Compose Gate（未来 / future）
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意图：用一个一次性 `db-migration` 服务跑迁移命令，**成功才放行 App**。本轮可先只交付命令本身，Compose 接线随后。
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Intent: a one-shot `db-migration` service runs the command and **the app starts only on its success**. The command ships this round; the Compose wiring can follow.
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```yaml
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services:
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db-migration:
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image: <same image>
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command: python -m app.migrate # 成功 exit 0；2b/失败 exit ≠0
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web:
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depends_on:
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db-migration:
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condition: service_completed_successfully
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```
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迁移失败（含 2b 不一致）→ App 永不启动。
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A failed migration (incl. a 2b mismatch) → the app never starts.
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### 3.6 Alembic 配置要点 / Alembic config notes
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- `migrations/env.py`：`target_metadata = Base.metadata`；DB URL 从 `get_settings().database_url` 动态读取（不写死在 `alembic.ini`）；对 SQLite 设 `render_as_batch=True`（便于未来改列/删列走 batch 模式）。
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`target_metadata = Base.metadata`; URL read dynamically from settings; `render_as_batch=True` for SQLite.
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- **V1 baseline 的生成与验证 / Authoring & verifying V1：** 用当前 models 对**空库** autogenerate 得到完整建表脚本；再对**生产库副本**跑 `alembic check`，**应显示无差异**——即印证"schema 符合预期、可安全盖章"。
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Autogenerate against an empty DB for the full create script; then run `alembic check` against a copy of the prod DB — it **should report no diff**, confirming it's safe to stamp.
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- 镜像 / Image：`Dockerfile` 需 `COPY` `alembic.ini` 与 `migrations/`，否则容器内无迁移脚本。
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- CI（可选 / optional）：加一步 `alembic check`，防止改了 model 却忘记生成迁移。
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Add an `alembic check` step to catch model/migration drift.
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---
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## 4. LLM 接入 / LLM Integration
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### 4.1 配置存储：键值表 / Config storage: a KV table
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新增表 `app_settings(key TEXT PRIMARY KEY, value TEXT)`（由 V2 迁移创建）。
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New table `app_settings(key TEXT PRIMARY KEY, value TEXT)` (created by the V2 migration).
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**为什么用 KV 而非定型列 / Why KV instead of typed columns：** 后续还会陆续加配置项；给*已有表*加列有迁移成本，而 KV 加配置项＝加一行，永不迁移。类型与校验在 Python 侧处理。
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More settings are coming; adding columns to an *existing* table costs a migration, whereas a KV row never does. Typing/validation live in Python.
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本轮使用的 key / Keys used this round：
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| key | 含义 / Meaning | 默认 / Default |
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| --- | --- | --- |
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| `llm_enabled` | LLM 总开关 / master toggle | `false` |
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| `llm_base_url` | OpenAI 兼容端点 / endpoint | `https://api.openai.com/v1` |
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| `llm_model` | 模型名 / model name | （空 / empty） |
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| `llm_api_key` | API Key（明文 / plaintext，见 §7） | （空 / empty） |
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| `ai_search_enabled` | AI 搜索功能开关 / AI-search feature toggle | `false` |
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| `ai_search_extra_hints` | AI 搜索：可选「额外领域提示」，追加到默认系统提示词（step 3 引入）/ optional extra domain hints appended to the default prompt | （空 / empty） |
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> 读写封装 / Access helpers：`get_app_settings(db) -> LLMConfig`（dataclass 视图）与 `save_app_settings(db, ...)`，供路由与 `app/llm.py` 复用。
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> Helpers `get_app_settings(db) -> LLMConfig` and `save_app_settings(db, ...)`, reused by routes and `app/llm.py`.
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### 4.2 LLM 客户端 / The client (`app/llm.py`)
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OpenAI 兼容的薄客户端，基于 `httpx`，**无新依赖** / A thin OpenAI-compatible client over `httpx`, **no new dependency**：
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- `is_configured(cfg) -> bool`：开关开启且 `model`/`api_key` 齐全。
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- `test_connection(cfg) -> Result`：发一个最小请求验证 `base_url`/`model`/`api_key`，供配置页"测试连接"用。
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- `expand_query(cfg, query) -> list[str]`：把查询词扩成一批近义/相关词（提示词与输出契约见 §5.2）。
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- `analyze_image(...)`：**本轮不实现**，仅在文档中预留为未来接口（图片分析轮次）。Reserved for a future round, not implemented now.
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要点 / Notes：
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- 统一超时与错误处理；失败不抛到用户面前，按"优雅降级"返回可识别的失败信号。
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Unified timeout + error handling; failures degrade gracefully rather than surfacing as 500s.
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- 同步实现即可——FastAPI 把同步 `def` 路由丢线程池执行，阻塞式 httpx 调用可接受。
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A synchronous implementation is fine — FastAPI runs sync handlers in a threadpool.
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- **唯一对外/网络边界**，测试中整体 mock，CI 保持无网络。
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The **single network boundary**, fully mocked in tests.
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### 4.3 配置页 / Config page
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| 路由 / Route | 作用 / Purpose |
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| --- | --- |
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| `GET /settings` | 渲染配置表单（Key 脱敏显示）/ render form (key masked) |
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| `POST /settings` | 保存配置到 `app_settings` / persist to `app_settings` |
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| `POST /settings/test` | 用当前/待保存配置测试连接 / test connection |
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- 模板 `app/templates/settings/form.html`，沿用现有卡片/表单样式；`base.html` 顶部导航加一个「设置」入口。
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Template under `settings/`, reusing existing styles; add a "设置/Settings" link in `base.html` nav.
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- **Key 脱敏 / Key masking**：页面不回显明文，显示「已配置，留空＝不修改」，提交留空则保留原值。
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Never echo the plaintext key; show "configured, leave blank to keep", and keep the old value if left blank.
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### 4.4 降级 / Degradation
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`llm_enabled` 关或未配置时：配置页照常可用；AI 搜索按钮隐藏或提示去配置；其余功能与现状一致。
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When disabled/unconfigured: the settings page still works; the AI-search button is hidden or hints to configure; everything else is unchanged.
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---
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## 5. AI 搜索 / AI Search
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### 5.1 行为 / Behavior
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- **常驻动作 / Persistent action：** 搜索页**始终**提供「AI 智能搜索」，**不以"零结果"为前提**——即便普通搜索已出结果，用户不满意时也能点。
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The "AI search" action is **always** present on the search page, **not gated on zero results** — usable even when normal results exist.
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- **流程 / Flow：** 普通 `LIKE` 照常先出结果 → 用户触发 AI → `expand_query` 把查询词扩成近义/相关词 → 用「原词 + 扩展词」对 `name`/`note` 做 OR `LIKE` 重搜 → 展示，并用横幅标注「AI 帮你扩展了：…」。
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Normal `LIKE` first → user triggers AI → `expand_query` → OR-`LIKE` over name/note with the original + expanded terms → render with a banner listing the expansion.
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- **只把查询词发出去 / Only the query leaves**，不外泄物品清单；token 恒定、不随上千件物品增长。
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Only the query is sent; the inventory is not. Token cost is constant and does not grow with thousands of items.
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### 5.2 提示词与输出契约 / Prompt & Output Contract
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`expand_query` 的**质量**取决于提示词，**集成稳定性**取决于输出契约——两者都在代码侧掌控（决策 C）。
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Quality hinges on the prompt; integration stability hinges on the output contract — both are code-controlled (decision C).
|
||
|
||
- **基础系统提示词写死在 `app/llm.py`（用户改不坏）/ Base system prompt hardcoded：** 框定搬家/家居场景，要求"列出用户可能用来命名同一物品的相关词（近义、别称、上位类别、具体品类）"；语言跟随查询；最多约 8 个；不解释、不造无关词。
|
||
Frames the moving/household domain, asks for related naming terms, follows the query's language, caps the count, no prose.
|
||
- **可选「额外领域提示」/ Optional extra hints：** KV `ai_search_extra_hints`（设置页一个多行输入，默认空）。非空时**追加**到基础提示词之后，供业主微调倾向（如"厨房用品多，偏向厨具类"）。**它只能补充，不能改写输出格式。**
|
||
An optional free-text setting appended to the base prompt; it can only add guidance, never alter the output format.
|
||
- **输出契约（代码强制，与提示词解耦）/ Output contract (code-enforced)：** 要求模型只返回 **JSON 字符串数组**；解析时去掉 ` ```json ` 围栏 → `json.loads` → 失败按行/逗号兜底 → 再不行返回 `[]`。`expand_query` 只返回扩展词；**原词由 `ai_search` 并入并去重**，数量在代码侧再封顶一次。
|
||
Require a JSON string array; tolerant parse with fallbacks to `[]`. `ai_search` adds the original term and dedupes; the count is capped in code.
|
||
- **客户端参数 / Client params：** 低 temperature、较小 max_tokens、设超时。Low temperature, small max_tokens, a timeout.
|
||
- **措辞留松 / Wording left loose：** 默认提示词的具体字句可在 step-3 实测中迭代，不在文档里冻死。
|
||
Exact default wording can be iterated during step-3 testing.
|
||
|
||
### 5.3 实现接口 / Implementation seam
|
||
|
||
- 路由层扩展现有 `GET /search`：增加 `ai=1` 触发位（如 `GET /search?q=锅&ai=1`），保持单页、可收藏、SSR 友好。
|
||
Extend the existing `GET /search` with an `ai=1` trigger (e.g. `/search?q=…&ai=1`), staying single-page and bookmarkable.
|
||
- 内部定义可替换的检索 seam，例如 `ai_search(db, query) -> (expanded_terms, results)`：
|
||
Define a replaceable retrieval seam, e.g. `ai_search(db, query) -> (expanded_terms, results)`:
|
||
- **本轮 / now：** 内部＝查询词扩展 + 本地 `LIKE`。
|
||
- **未来 / later：** 换成向量嵌入 + 相似度检索，**路由与模板不变**。
|
||
Swap to embeddings + similarity later **without changing the route or template**.
|
||
- 本轮检索范围＝`name` + `note`（`image_description` 本轮不存在）。
|
||
Search scope this round = `name` + `note` (no `image_description` yet).
|
||
|
||
### 5.4 降级 / Degradation
|
||
|
||
AI 关闭/未配置 → 不显示按钮（或提示去 `/settings`）；调用失败 → 友好提示并回退到普通结果。
|
||
AI off/unconfigured → no button (or a hint to `/settings`); on failure → a friendly message, fall back to normal results.
|
||
|
||
---
|
||
|
||
## 6. 数据模型与路由变更 / Data Model & Route Changes
|
||
|
||
**数据模型 / Data model（本轮）：**
|
||
- 新增 `AppSetting`（表 `app_settings`，KV）。由 V2 迁移建表。
|
||
Add `AppSetting` (`app_settings`, KV), created by the V2 migration.
|
||
- `boxes` / `items` / `subitems` **本轮不变**。Unchanged this round.
|
||
|
||
**新增/改动路由 / Routes added/changed：**
|
||
- `GET /settings`、`POST /settings`、`POST /settings/test`（新）。
|
||
- `GET /search?q=&ai=1`（扩展现有）。
|
||
- `base.html` 导航新增「设置」。
|
||
|
||
---
|
||
|
||
## 7. 安全姿态 / Security Posture
|
||
|
||
- **无鉴权 / No auth**：仅经可信内网 / VPN + nginx HTTPS 访问，业主已确认风险可接受。
|
||
LAN/VPN + nginx HTTPS only; owner accepts the risk.
|
||
- **API Key 明文落库 / Plaintext API key in DB**：业主明确选择。理由：备份经 `rclone` 至业主自有 OneDrive，链路可信；若攻击者已能读到服务器文件，则任何落盘位置都不安全。
|
||
Owner's explicit choice; backups go via `rclone` to the owner's own OneDrive, and a server-file-read attacker defeats any at-rest location anyway.
|
||
- **UI 不回显明文 Key / UI never echoes the key**（§4.3）——这是表单卫生，不是加密。
|
||
- **外发数据 / Data egress**：AI 搜索只发送*查询词*；图片分析（未来）才会外发图片。
|
||
AI search sends only the *query*; image egress only arrives with the future image-analysis feature.
|
||
|
||
---
|
||
|
||
## 8. 测试策略 / Testing Strategy
|
||
|
||
- **迁移在测试中真实执行 / Migrations run in tests：** fixture 先在临时 SQLite 上跑迁移命令（建库 → `upgrade head`），再 `create_app()`（启动校验随之通过）。schema 来自迁移本身——单一事实来源 + 迁移覆盖。
|
||
The fixture runs the migration command on a tmp SQLite first, then `create_app()` (whose startup check then passes).
|
||
- **认领逻辑测试 / Adoption test（2a）：** 构造"有 `boxes` 数据但无 `alembic_version`"的库 → 跑迁移命令 → 断言数据保留、版本到达 head。
|
||
Build a "has `boxes` data, no `alembic_version`" DB → run the migration command → assert data preserved and version at head.
|
||
- **fail-close 测试 / Fail-closed tests：** ① DB 未到 head 时 `create_app()` 启动应 fail-close；② 2b 不一致时迁移命令应 fail-close 且不改动。
|
||
① `create_app()` fails closed when the DB is not at head; ② the migration command fails closed (and changes nothing) on a 2b mismatch.
|
||
- **LLM 全程 mock / Mock the LLM：** 打桩 `expand_query` / `test_connection`（或底层 httpx），CI 不联网。
|
||
- **新增用例 / New cases：** 配置增删改 + Key 脱敏；测试连接（mock）；AI 搜索扩展命中；各降级路径（未配置/失败）。
|
||
|
||
---
|
||
|
||
## 9. 未来扩展（本轮不做，但已预留）/ Future Extensions (seams reserved)
|
||
|
||
| 未来项 / Future item | 预留点 / Seam already in place |
|
||
| --- | --- |
|
||
| 图片内容分析 / Image analysis | `app/llm.py` 预留 `analyze_image`；迁移系统可加 `image_description` 列；搜索范围可纳入该列。<br>`analyze_image` reserved; migrations can add `image_description`; search can include it. |
|
||
| 向量语义搜索 / Vector semantic search | `ai_search(...)` seam 可整体替换；批处理可与图片描述补算共用。<br>The `ai_search` seam is swappable; batch jobs can be shared. |
|
||
| 夜间批处理 / Nightly batch | 分析逻辑写成批量友好函数，cron 仅是薄包装（仿 backup cron）。<br>Batch-friendly functions; cron is a thin wrapper like the backup cron. |
|
||
| 文本/视觉模型分离 / Split models | `app_settings` 加一个 key 即可，无需迁移。<br>Add one KV key, no migration. |
|
||
|
||
---
|
||
|
||
## 10. 决策记录 / Decisions Log
|
||
|
||
| # | 决策 / Decision | 理由 / Rationale |
|
||
| --- | --- | --- |
|
||
| D1 | 先引入 Alembic 再做功能 / Alembic before features | 配置表与未来列都依赖可靠迁移；退休手写列同步。 |
|
||
| D2 | V1 baseline 严格等于现状，新东西放 V2+ / baseline = current schema only | 使 `stamp` 认领老库为真、安全。 |
|
||
| D3 | 迁移与启动分离：启动只校验 + fail-close，迁移走独立幂等命令（`python -m app.migrate`）/ 未来 Compose `db-migration` 闸门 / migrations separated from startup | 避免启动副作用式迁移与并发竞态；schema 不一致宁可不启动也不带病运行；迁移成功才放行 App。 |
|
||
| D4 | 配置用 KV 表 / KV settings table | 后续配置项多，避免反复给已有表加列。 |
|
||
| D5 | API Key 明文落库 / plaintext key | 业主威胁模型下可接受；备份至自有 OneDrive。 |
|
||
| D6 | 复用 httpx，手搓 OpenAI 调用 / reuse httpx | 不引入 `openai` SDK，依赖最小。 |
|
||
| D7 | AI 搜索常驻、不依赖零结果 / persistent AI search | 用户对已有结果不满意时也能用。 |
|
||
| D8 | AI 搜索 v1＝查询词扩展 / query-term expansion | 上千件物品下可扩展、不外泄清单、token 恒定。 |
|
||
| D9 | 检索做成可替换 seam / pluggable retrieval | 未来换嵌入式语义搜索时上层不动。 |
|
||
| D10 | 图片分析不在本轮 / image analysis deferred | 业主本轮三件事不含它；架构预留接口。 |
|
||
| D11 | AI 搜索提示词：默认写死 + 可选「额外领域提示」；输出契约由代码强制 / hardcoded default prompt + optional extra-hints, code-enforced JSON contract | 保证解析稳定（用户改不坏），又给业主一点不改代码即可微调的空间。 |
|