Metadata-Version: 2.4
Name: seekbase
Version: 0.0.1
Summary: A supabase-style embedded data port with semantic search as a first-class operator (single-engine DuckDB: vss + fts).
Author: seekbase
License:                                  Apache License
                                   Version 2.0, January 2004
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License-File: LICENSE
Keywords: duckdb,embedded-database,fts,orm,vector-search,vss
Requires-Python: >=3.11
Requires-Dist: duckdb>=1.1
Requires-Dist: httpx>=0.27
Requires-Dist: jieba>=0.42
Provides-Extra: dev
Requires-Dist: mypy; extra == 'dev'
Requires-Dist: pytest-asyncio>=0.23; extra == 'dev'
Requires-Dist: pytest>=8; extra == 'dev'
Requires-Dist: ruff; extra == 'dev'
Requires-Dist: uvicorn>=0.30; extra == 'dev'
Description-Content-Type: text/markdown

# seekbase

一个 supabase 风格的数据端口,**把 `search()` 做成一等算子**——**单引擎 DuckDB** 一库通吃:结构化/分析、向量语义(`vss`/HNSW)、全文检索(`fts`/BM25),`search()` 是 hybrid(向量 + BM25 用 RRF 融合、中文用 jieba 分词);再加一份本地文件镜像用于审计。一个端口、一个文件、零运维。

**两种使用形态,一套完全相同的 API:**

| 形态 | 怎么拿到 db | 跑在哪 | 什么时候用 |
|---|---|---|---|
| **嵌入(embedded)** | `Seekbase.open(dir, schema=…)` | 进程内、DuckDB | 单进程、本地优先、零运维 |
| **服务(server)** | `Seekbase.connect(url)` → 连一个运行中的 server | HTTP | 多客户端 / 多进程共享同一个实例 |

两种形态的**调用代码逐字节相同**——`query(sql)` / `insert` / `delete` 一个字都不用改,变的只有你怎么拿到 `db` 句柄。

> **状态:核心完整(单引擎 + 单表同步写)。** SQL `query`(结构化 + hybrid `search()` + `ds` 时间窗)、同步 ticket 写(`insert`/`delete`,**主键写一次、重复报错**)、文件镜像(每表 `<表>.jsonl` + `rebuild`)、检索侧(**DuckDB `vss`+`fts` 就地长在业务表上,单引擎、无 LanceDB**)、两种使用形态,今天都能跑。**delete 只软删 `deleted_ds` 墓碑、历史永久保留,没有物理删/vacuum**。完整设计见 [DESIGN.md](DESIGN.md)。

## 安装

```bash
pip install seekbase   # 嵌入 + HTTP 客户端 + server(seekbase_server)+ ApiEmbedder,全部开箱即用
```

两种形态都是标配、无需任何 extra:嵌入、HTTP 客户端(`Seekbase.connect`)、以及把端口暴露成 HTTP 服务的 `seekbase_server(db)`——它是一个**零依赖的手写 ASGI app**。跑这个 app 的 **ASGI runner 由你从外部注入**(uvicorn / hypercorn / gunicorn,或挂进已有应用),seekbase 不绑定 runner。

## 嵌入形态(进程内)

```python
from seekbase import Seekbase

SCHEMA = [
    {
        "table": "cards",
        "columns": [
            {"name": "card_id", "type": "str"},
            {"name": "issue",   "type": "str"},
            {"name": "kind",    "type": "str"},
        ],
        "primary": "card_id",
        "searchable": ["issue"],                 # 可 search() 的列(hybrid:vss 向量 + fts 全文)
    },
]

db = await Seekbase.open("./data", schema=SCHEMA)

# 写是同步的:返回 ticket(已落库),wait 立即返回
await db.wait(await db.insert("cards", {"card_id": "c1", "issue": "pty vs tmux", "kind": "issue"}))

# 读是 SQL:结构化 + 时光机(ds_start/ds_end)+ 语义 search() 都在这一个接口
rows = await db.query(
    "SELECT card_id, issue FROM cards WHERE kind = ? ORDER BY created_at DESC LIMIT 20",
    params=["issue"],
)

await db.delete("cards", where="card_id = ?", params=["c1"])   # 打墓碑,永不物理删

await db.close()
```

## 服务形态(HTTP)

起一个 server——它持有 schema(以及将来的 embedder),并拥有数据目录。`seekbase_server(db)` 给你一个裸 ASGI app,用**你自己的 runner** 跑:

```python
# serve.py —— 用外部注入的 runner(这里是 uvicorn)
import uvicorn
from seekbase import Seekbase
from seekbase.server import seekbase_server

db = await Seekbase.open("./data", schema=SCHEMA)        # 就是上面那个嵌入 db
uvicorn.run(seekbase_server(db, api_key="secret"), host="0.0.0.0", port=8000)
```

也有个便捷函数 `serve(db, host=…, port=…, api_key=…, runner=…)`:`runner` 是任意 `runner(app, host=…, port=…)` 可调用(默认用 uvicorn,前提是你装了它)。runner 始终由外部提供,seekbase 不把它作为依赖。

然后从任何地方连它——**调用代码和嵌入形态一模一样**,只有拿句柄这一步不同:

```python
db = await Seekbase.connect("http://localhost:8000", api_key="secret")

await db.wait(await db.insert("cards", {"card_id": "c1", "issue": "pty vs tmux", "kind": "issue"}))
rows = await db.query("SELECT card_id, issue FROM cards WHERE kind = ?", params=["issue"])

await db.close()
```

读走 `POST /v1/query`、写走 `POST /v1/insert`(同步,返回已 done 的 ticket)。**错误过线保型**(server 侧抛的 `ReadOnlyError`,client 侧还是 `ReadOnlyError`)。鉴权是一个可选的 bearer token;时光机走 `query(..., ds_end="20260601")`,HTTP 上一样。

## 设计原则

- **只增、引擎强制**:没有 `update`/`upsert`;`delete()` 只写一列 `deleted_at` 墓碑。历史因此诚实——时光机对**所有列**都严谨。
- **业务无关**:不认识任何业务概念、不读任何 config——由你注入 `data_dir`、`schema`,以及(要 search 时)一个 `embedder`。
- **调用方永远不见向量**:声明 `searchable` 列;SQL 里 `search(列, 'text')` 自动 embed + jieba 分词 + hybrid 检索(每个可搜列各自一套 vss 向量 + fts 全文,RRF 融合)+ 在同一条 SQL 里和结构化过滤组合。

## 文档

- [DESIGN.md](DESIGN.md) —— 整体设计
- [docs/api/](docs/api/) —— API 参考(query / insert / delete / admin / setup,每个接口的请求·响应·错误)
- [docs/works/](docs/works/) —— 专题设计:[store.md](docs/works/store.md)(两层存储 files/DuckDB)、[search.md](docs/works/search.md)(vss+fts hybrid 检索)

Apache-2.0。
