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ThearchyHelios
cece781b5a
冲突的解法： - 后端 api/catalog.py：同时导入 catalog_impact 和 catalog_profile、SnapshotTampered；data/catalog.py：__all__ 取两边的并集重排。 - 2A 放宽了码值校验（含义可以为空，剖析写进来的是「含义待填写」）：目录修改提案的码值补充改为含义为空的码不覆盖已有含义、 只在原来没有这个码时加进去，补了测试；卡片和过程里的码值把空含义写成「含义待填写」，和目录页同一个说法。 - 前端 types.ts、terms.ts：两边各在同一处追加了新段落，按顺序都留下（提案、影响面、目录版本在前，剖析、码值、SQL 检查在后）， 没有重复的键；client.ts、decode.ts、CatalogPage.tsx、TableDetail.tsx 的导入取并集。 - check-catalog.mjs：影响面和剖析、保存数据源三条假路由都留下，各节和最后核对真库数量的逻辑不变。 - 4A 的测试数据源改用 tests/fixtures/sources.py 的 drop_source 删除，顺带作废连接池。
186 lines
9.6 KiB
Python
186 lines
9.6 KiB
Python
"""目录的影响面：改了一张表的目录，哪些已发布、受管的模板会受影响（阶段 4A）。
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GET /api/datasources/{id}/catalog/{table}/impact，每个模板按它当前的已发布版本算（不是画布上的草稿）：
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- 调用工具节点调用这个源的 db_query__，SQL 里用到了这张表：直接引用。表名的取法和证据台账同一个口径
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（evidence.sql_tables，按 name_key 对到表结构上）。
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- Agent 节点（协作成员也算）绑定了这个源的查询工具：可能涉及——SQL 是运行时写的，静态看不出用不用这张表。
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- 合并查询节点按它的输入追溯：输入里有直接引用的，它也算直接引用，并写明经由哪个输入。
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- 没发布过的草稿、别的源的同名表、只在未发布草稿里用到的，都不算。
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"""
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from __future__ import annotations
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import uuid
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from types import SimpleNamespace
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import pytest
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from httpx import ASGITransport, AsyncClient
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from app.data.engine import engines
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from app.data.introspect import introspect
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# 模型要在建表之前注册进 metadata：conftest 的建表只导入了 app.db.base，这个文件单独跑时没有别的模块先导入它们
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from app.db import models # noqa: F401
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from tests.fixtures.sources import drop_source
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_CACHE: dict[str, dict] = {}
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async def _schema(path: str) -> dict:
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if path not in _CACHE:
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probe = SimpleNamespace(id=f"probe-{uuid.uuid4().hex[:6]}", name="scenic", kind="sqlite", database=path,
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host=None, port=None, username=None, password=None, options={}, readonly=True,
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description="", schema_cache={}, origin="manual")
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try:
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_CACHE[path] = await introspect(probe)
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finally:
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await engines.invalidate(probe.id)
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return _CACHE[path]
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def _node(nid, ntype, label=None, **config):
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return {"id": nid, "type": ntype, "data": {"label": label or nid, "config": config}}
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def _graph(*nodes):
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nodes = [_node("start", "input"), *nodes, _node("out", "output", fields=[])]
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return {"nodes": nodes, "edges": [{"source": a["id"], "target": b["id"]} for a, b in zip(nodes, nodes[1:])]}
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def _query(nid, source, sql, label=None):
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return _node(nid, "tool", label, tool=f"db_query__{source}", args={"sql": sql})
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@pytest.fixture
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async def world(scenic_db):
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"""一个景区数据源、另一个同结构的源，和几份模板；用完全部删掉。"""
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from app.db.base import SessionLocal
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from app.db.models import DataSource, Workflow, WorkflowVersion
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tag = uuid.uuid4().hex[:8]
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src, other = f"scenic_{tag}", f"mirror_{tag}"
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created: list[str] = []
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async with SessionLocal() as session:
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rows = []
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for name in (src, other):
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row = DataSource(name=name, kind="sqlite", database=scenic_db, readonly=True)
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row.schema_cache = await _schema(scenic_db)
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session.add(row)
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rows.append(row)
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await session.commit()
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async def template(name, versions, *, published=None, level="published"):
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wf = Workflow(name=f"{name}-{tag}", graph=versions[-1], version=len(versions),
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status=level if published else "draft", published_version=published)
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session.add(wf)
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await session.flush()
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for i, g in enumerate(versions, start=1):
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session.add(WorkflowVersion(workflow_id=wf.id, version=i, graph=g,
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level=level if published == i else None))
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created.append(wf.id)
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return wf
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counted = _query("q", src, "SELECT COUNT(*) FROM main.VISITS v WHERE v.status = 1", "查询入园人数")
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direct = await template("入园日报", [_graph(counted)], published=1)
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agent = await template("入园分析", [_graph(_node("ask", "agent", "分析入园", prompt="分析",
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tools=[f"db_query__{src}", f"db_schema__{src}"]))],
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published=1, level="governed")
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team = await template("协作分析", [_graph(_node("team", "supervisor", "协作", agents=[
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{"name": "analyst", "tools": [f"db_query__{src}"]}]))], published=1)
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merged = await template("渠道合并", [_graph(
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_query("q1", src, "SELECT id, park_id FROM visits", "入园"),
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_query("q2", src, "SELECT id, channel_id FROM orders", "订单"),
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_node("m", "merge", "合并入园和订单", inputs={"a": "q1", "b": "q2"}, sql="SELECT * FROM a JOIN b ON a.id = b.id"),
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_node("m2", "merge", "再合并", inputs={"x": "m"}, sql="SELECT * FROM x"),
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)], published=1)
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# 不算的：草稿、别的源的同名表、只在未发布的新版本里用到
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await template("草稿", [_graph(_query("q", src, "SELECT * FROM visits"))])
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await template("镜像", [_graph(_query("q", other, "SELECT * FROM visits"))], published=1)
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await template("后来才用", [_graph(_query("q", src, "SELECT * FROM orders")),
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_graph(_query("q", src, "SELECT * FROM visits"))], published=1)
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# 已发布的是旧版本：画布上后来删掉了这张表，影响面仍按已发布的那一版算
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stale = await template("改过画布", [_graph(_query("q", src, "SELECT * FROM visits")),
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_graph(_query("q", src, "SELECT * FROM orders"))], published=1)
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await session.commit()
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ids = SimpleNamespace(source=rows[0].id, other=rows[1].id, src=src, direct=direct.id, agent=agent.id,
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team=team.id, merged=merged.id, stale=stale.id)
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yield ids
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async with SessionLocal() as session:
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for wid in created:
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if (wf := await session.get(Workflow, wid)) is not None:
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await session.delete(wf)
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await session.commit()
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for sid in (ids.source, ids.other):
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await drop_source(sid)
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async def _impact(source_id: str, table: str) -> dict:
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from app.main import app
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async with AsyncClient(transport=ASGITransport(app=app), base_url="http://test") as client:
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r = await client.get(f"/api/datasources/{source_id}/catalog/{table}/impact")
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assert r.status_code == 200, r.text
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return r.json()
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async def test_impact_classifies_direct_possible_and_merge(world):
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out = await _impact(world.source, "visits")
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assert out["table"] == "visits"
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by_id = {t["workflow_id"]: t for t in out["templates"]}
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assert set(by_id) == {world.direct, world.agent, world.team, world.merged, world.stale}
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direct = by_id[world.direct]
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assert direct["impact"] == "direct" and direct["version"] == 1 and direct["level"] == "published"
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assert [(n["node_id"], n["label"], n["impact"]) for n in direct["nodes"]] == [("q", "查询入园人数", "direct")]
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agent = by_id[world.agent]
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assert agent["impact"] == "possible" and agent["level"] == "governed"
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assert [(n["node_id"], n["impact"]) for n in agent["nodes"]] == [("ask", "possible")]
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assert by_id[world.team]["impact"] == "possible"
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assert by_id[world.team]["nodes"][0]["member"] == "analyst"
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merged = by_id[world.merged]
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assert merged["impact"] == "direct"
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nodes = {n["node_id"]: n for n in merged["nodes"]}
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assert set(nodes) == {"q1", "m", "m2"} # 查订单的 q2 不涉及这张表
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assert nodes["m"]["impact"] == "direct" and nodes["m"]["via"] == [{"node_id": "q1", "label": "入园", "alias": "a"}]
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# 合并的合并：一路追到底
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assert nodes["m2"]["impact"] == "direct" and nodes["m2"]["via"] == [{"node_id": "m", "label": "合并入园和订单",
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"alias": "x"}]
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# 直接引用的排在前面
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impacts = [t["impact"] for t in out["templates"]]
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assert impacts == sorted(impacts, key=lambda i: i != "direct")
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async def test_impact_of_another_table(world):
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out = await _impact(world.source, "orders")
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by_id = {t["workflow_id"]: t for t in out["templates"]}
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# 已发布的旧版本只查了入园记录：画布上后来改成查订单，不算
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assert world.stale not in by_id
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assert by_id[world.merged]["impact"] == "direct"
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assert {n["node_id"] for n in by_id[world.merged]["nodes"]} == {"q2", "m", "m2"}
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# 只绑了查询工具的 Agent 对每张表都是「可能涉及」
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assert by_id[world.agent]["impact"] == "possible"
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assert world.direct not in by_id
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async def test_impact_unknown_table_is_404(world):
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from app.main import app
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async with AsyncClient(transport=ASGITransport(app=app), base_url="http://test") as client:
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r = await client.get(f"/api/datasources/{world.source}/catalog/ghost_table/impact")
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assert r.status_code == 404
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def test_graph_sql_tables_uses_the_evidence_rules():
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"""发布时记目录版本和影响面共用这一份：只看调用工具节点写死的 SQL，表名按 name_key 对到表结构上。"""
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from app.data.catalog_impact import graph_sql_tables
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from app.engine.schema import GraphSpec
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spec = GraphSpec.model_validate(_graph(
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_query("q1", "shop", "SELECT * FROM main.Orders o JOIN order_items i ON i.order_id = o.id -- FROM ghost"),
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_query("q2", "shop", "WITH t AS (SELECT 1) SELECT * FROM t, customers"),
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_query("q3", "other", "SELECT * FROM orders"),
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_node("ask", "agent", tools=["db_query__shop"]),
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))
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tables = {"shop": {"orders": {}, "order_items": {}, "customers": {}}, "other": {"orders": {}}}
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assert graph_sql_tables(spec, tables) == {"shop": {"orders", "order_items", "customers"}, "other": {"orders"}}
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