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AgentLab/backend/app/api/datasources.py
T
ThearchyHelios a127f7049c 真实 Oracle 生产库跑通,修掉三处只有连真库才暴露的问题
在一个企业 BI 库(SAP 物料/采购/凭证 + MES 生产 + IOT 设备)上端到端验证。
连接 3 秒握手,thin 模式,确实不需要 Instant Client。三处问题只有连真库才看得见:

## options.schema 被当成驱动参数拼进了连接串

我自己引入的:build_url 把 options 里所有剩余的 key 都拼成 query 参数,
而 schema 是探查配置不是连接参数,于是 ?service_name=BI&schema=ANALYTICS 直接
被驱动拒掉。options 里混着两类东西,现在显式区分。

## 只读账号名下一张表都没有

这是企业环境的常态而非例外:TAIKE 名下只有 2 个 SYNONYM,数据在 ANALYTICS
(51 个视图) 和 STAGING(9 张表)。默认探查当前用户 schema 得到 0 张表,而原来
只会安静地返回一个空壳——用户完全不知道下一步该干什么。

现在:options.schema 可指定探查目标;探不到任何对象时自动列出可访问的非系统
schema(排掉 MDSYS/CTXSYS/XDB 那一屏 Oracle 内部对象),摘要里直接告诉
Copilot"该账号名下没有对象,数据可能在这些 schema"。

## 表名不带 schema 前缀直接 ORA-00942

只读账号访问的是别人 schema 下的对象,SELECT * FROM V_TRIP_FACT 必然失败。
schema_cache 里为每个对象记 qualified 全名,summary / table_names /
db_query 的工具描述统一用全名——模型照着写就不会漏前缀。describe_table 则
反过来放宽:全名、裸表名、大写形态都认(Oracle 惯用大写,SQLAlchemy 返回小写)。

## 实测

探查 53 个对象 7.8 秒,摘要约 2000 token(含一个 273 字段的宽视图),在预算内。
Oracle 的中文表/列注释正确读出("不合格数据明细表"、"工厂代码,复合主键之一")。

agent 自主查询 8 轮:列对象 → 挑 3 个 MES 视图看结构 → 逐个 COUNT + MAX(load_time)
→ 补查业务时间字段,最后报出 v_demo_table 有 365,633 行、最新数据
2026-09-17 06:53。全程自己带对了 schema 前缀。

安全边界在生产库上复验:
- UPDATE / DELETE / DROP 全被拒,数据未变
- 19.87 亿行的 TG_ECC_MSEG 裸查 SELECT *:0.7 秒返回 200 行即断开,
  流式读取没有把表拉回来
- 203 列宽表的字节上限在第 37 行触发

凭据只进加密库(Fernet 密文,已核验库中无明文),不在仓库、提交历史或任何输出里。
2026-09-17 11:44:22 +08:00

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"""数据源的增删改查、连接测试、结构探查。
密码的处理规则和 Provider 完全一致(app/api/settings.py):入库加密、
出站只给掩码、PATCH 时不传表示不动、传空串表示清空。
"""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel, Field
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.crypto import encrypt, mask
from app.data import introspect as introspect_mod
from app.data.engine import SUPPORTED_KINDS, engines, test_connection
from app.db.base import get_session
from app.db.models import DataSource
from app.tools.datasource import tool_names
router = APIRouter(prefix="/api/datasources", tags=["datasources"])
# 名字会成为工具名的一部分(db_query__<name>),而模型的 function name 只认
# ASCII。所以这里收紧成 slug,中文说明放 description 字段。
_NAME_PATTERN = r"^[a-z][a-z0-9_]{0,40}$"
class DataSourceIn(BaseModel):
name: str = Field(pattern=_NAME_PATTERN,
description="英文标识,会成为工具名的一部分,如 sales")
kind: str
host: str | None = None
port: int | None = None
database: str | None = None
username: str | None = None
password: str | None = None
options: dict[str, Any] = Field(default_factory=dict)
readonly: bool = True
description: str = ""
enabled: bool = True
class DataSourcePatch(BaseModel):
kind: str | None = None
host: str | None = None
port: int | None = None
database: str | None = None
username: str | None = None
password: str | None = None # 空串=清空;不传=不动
options: dict[str, Any] | None = None
readonly: bool | None = None
description: str | None = None
enabled: bool | None = None
class DataSourceOut(BaseModel):
id: str
name: str
kind: str
host: str | None
port: int | None
database: str | None
username: str | None
options: dict[str, Any]
readonly: bool
description: str
enabled: bool
password_masked: str = ""
has_password: bool = False
table_count: int = 0
schema_synced_at: str | None = None
tools: list[str] = Field(default_factory=list)
def _to_out(row: DataSource) -> DataSourceOut:
tables = (row.schema_cache or {}).get("tables") or {}
return DataSourceOut(
id=row.id, name=row.name, kind=row.kind, host=row.host, port=row.port,
database=row.database, username=row.username, options=row.options or {},
readonly=row.readonly, description=row.description, enabled=row.enabled,
password_masked=mask(row.password),
has_password=bool(row.password),
table_count=len(tables),
schema_synced_at=row.schema_synced_at.isoformat() if row.schema_synced_at else None,
tools=tool_names(row),
)
async def _get_or_404(session: AsyncSession, source_id: str) -> DataSource:
row = await session.get(DataSource, source_id)
if not row:
raise HTTPException(404, "数据源不存在")
return row
@router.get("", response_model=list[DataSourceOut])
async def list_sources(session: AsyncSession = Depends(get_session)) -> list[DataSourceOut]:
rows = (await session.execute(select(DataSource).order_by(DataSource.name))).scalars()
return [_to_out(r) for r in rows]
@router.get("/kinds")
async def list_kinds() -> dict[str, Any]:
"""支持哪些数据库,以及各自需要填什么——前端表单据此渲染。"""
return {
"kinds": [
{"value": "mysql", "label": "MySQL / MariaDB", "default_port": 3306,
"needs": ["host", "database", "username", "password"],
"hint": "options 可填 charset(默认 utf8mb4)"},
{"value": "postgres", "label": "PostgreSQL", "default_port": 5432,
"needs": ["host", "database", "username", "password"], "hint": ""},
{"value": "oracle", "label": "Oracle", "default_port": 1521,
"needs": ["host", "username", "password"],
"hint": "库名填 service_name,或在 options 里给 service_name / sid。"
"驱动走 thin 模式,不需要装 Instant Client。"
"只读账号名下通常没有对象——数据在别的 schema 里,"
"用 options.schema 指定(如 ANALYTICS),否则探查结果是空的"},
{"value": "sqlite", "label": "SQLite(文件)", "default_port": None,
"needs": ["database"], "hint": "库名填数据库文件的绝对路径"},
],
"supported": list(SUPPORTED_KINDS),
}
@router.post("", response_model=DataSourceOut, status_code=201)
async def create_source(
payload: DataSourceIn, session: AsyncSession = Depends(get_session)
) -> DataSourceOut:
if payload.kind not in SUPPORTED_KINDS:
raise HTTPException(400, f"不支持的类型 {payload.kind},支持:{', '.join(SUPPORTED_KINDS)}")
exists = (await session.execute(
select(DataSource).where(DataSource.name == payload.name)
)).scalar_one_or_none()
if exists:
raise HTTPException(409, f"已经有叫 {payload.name} 的数据源了")
row = DataSource(
**payload.model_dump(exclude={"password"}),
password=encrypt(payload.password),
)
session.add(row)
await session.commit()
await session.refresh(row)
return _to_out(row)
@router.patch("/{source_id}", response_model=DataSourceOut)
async def update_source(
source_id: str, payload: DataSourcePatch, session: AsyncSession = Depends(get_session)
) -> DataSourceOut:
row = await _get_or_404(session, source_id)
data = payload.model_dump(exclude_unset=True)
if "password" in data:
# 空串表示清空,非空表示换新的
data["password"] = encrypt(data["password"]) if data["password"] else None
for key, value in data.items():
setattr(row, key, value)
await session.commit()
await session.refresh(row)
# 连接参数可能变了,旧连接池不能再用——否则改完密码还在用旧连接,很难排查
await engines.invalidate(source_id)
return _to_out(row)
@router.delete("/{source_id}", status_code=204)
async def delete_source(source_id: str, session: AsyncSession = Depends(get_session)) -> None:
row = await _get_or_404(session, source_id)
await session.delete(row)
await session.commit()
await engines.invalidate(source_id)
@router.post("/{source_id}/test")
async def test_source(source_id: str, session: AsyncSession = Depends(get_session)) -> dict[str, Any]:
"""测连接。失败时把驱动的原始报错带出来——这类问题九成靠错误信息定位。"""
row = await _get_or_404(session, source_id)
return await test_connection(row)
@router.post("/{source_id}/introspect", response_model=DataSourceOut)
async def introspect_source(
source_id: str, schema: str | None = None, session: AsyncSession = Depends(get_session)
) -> DataSourceOut:
"""探查结构并缓存。显式动作,不做后台轮询——生产库不该被实验工具定时扫。"""
row = await _get_or_404(session, source_id)
try:
row.schema_cache = await introspect_mod.introspect(row, schema=schema)
except Exception as e: # noqa: BLE001
raise HTTPException(400, f"探查失败:{type(e).__name__}: {e}") from e
row.schema_synced_at = datetime.now(timezone.utc)
await session.commit()
await session.refresh(row)
return _to_out(row)
@router.get("/{source_id}/schema")
async def get_schema(source_id: str, table: str | None = None,
session: AsyncSession = Depends(get_session)) -> dict[str, Any]:
row = await _get_or_404(session, source_id)
if table:
return {"table": table, "detail": introspect_mod.describe_table(row, table)}
return {
"tables": introspect_mod.table_names(row),
"summary": introspect_mod.summary(row),
"synced_at": row.schema_synced_at.isoformat() if row.schema_synced_at else None,
}