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ThearchyHelios
509 lines
26 KiB
Python
509 lines
26 KiB
Python
"""数据剖析接口：POST /api/datasources/{id}/catalog/profile（阶段 2A）。
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剖析是数据目录里唯一对业务库发查询的地方，这里逐条钉住方案定的约束：默认关闭、只读、每条查询都过守卫、
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查询次数和单条时限、总时长、遮罩的列不取样、大表不做整表统计、同一个数据源同时只有一次剖析；
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以及剖析的结论怎么进目录：命名推断对上数据的升为有确证（来源记为数据剖析，和外键分开）、对不上的写明
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覆盖率、人工确认过的只补覆盖率和基数、状态列得到码值候选、只有一个日期列的表提议业务日期。
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所有测试都在合成的景区库上做（tests/fixtures/catalog/scenic.py），数据和名称全部虚构。
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"""
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from __future__ import annotations
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import asyncio
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import re
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import sqlite3
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import uuid
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from pathlib import Path
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from types import SimpleNamespace
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from urllib.parse import quote
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import pytest
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from httpx import ASGITransport, AsyncClient
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from sqlalchemy import event
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from sqlalchemy.engine import Engine
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from app.data import catalog, catalog_profile
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from app.data import engine as data_engine
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from app.data.catalog_profile import PROFILE_OPTION, ProfileSettings
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from app.db.base import SessionLocal
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from app.db.models import DataSource
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from app.main import app as _fastapi_app
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from tests.fixtures.catalog import scenic
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from tests.fixtures.sources import drop_source
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ACTOR = {"X-Actor": quote("周宁")}
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@pytest.fixture
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async def client():
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async with AsyncClient(transport=ASGITransport(app=_fastapi_app), base_url="http://test") as c:
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yield c
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def _on(**settings) -> dict:
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return {PROFILE_OPTION: {"enabled": True, **settings}}
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@pytest.fixture
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async def make_source(client):
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"""登记一个接上 path 的数据源并走真实的探查接口；draft 给了就先起草这些表的目录。"""
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made: list[str] = []
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async def _make(path: str, *, options: dict | None = None, draft: list[str] | None = None) -> str:
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async with SessionLocal() as session:
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row = DataSource(name=f"prof_{uuid.uuid4().hex[:10]}", kind="sqlite", database=str(path),
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options=options or {})
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session.add(row)
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await session.commit()
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sid = row.id
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made.append(sid)
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r = await client.post(f"/api/datasources/{sid}/introspect")
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assert r.status_code == 200, r.text
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if draft is not None:
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r = await client.post(f"/api/datasources/{sid}/catalog/draft", json={"tables": draft})
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assert r.status_code == 200, r.text
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return sid
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yield _make
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for sid in made:
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await drop_source(sid)
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class _Spy:
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"""记下两样东西：守卫放行（guard.check 返回）的语句，和真正发到这个业务库的语句。
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后者挂在 SQLAlchemy 的 before_cursor_execute 上，任何一条到达驱动的语句都逃不掉——包括绕开查询层
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另开连接发的。断言「发到库的 ⊆ 守卫放行的」就是「所有查询都经过守卫」。
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"""
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def __init__(self, db_name: str) -> None:
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self.db_name = db_name
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self.checked: list[str] = []
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self.executed: list[str] = []
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def clear(self) -> None:
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self.checked.clear()
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self.executed.clear()
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def all_guarded(self) -> bool:
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return bool(self.executed) and all(s in self.checked for s in self.executed)
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def mentions(self, word: str) -> list[str]:
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return [s for s in self.executed if word.lower() in s.lower()]
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@pytest.fixture
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def spy(monkeypatch, scenic_db):
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holder = SimpleNamespace(spy=None)
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def watch(path: str) -> _Spy:
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holder.spy = _Spy(Path(path).name)
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return holder.spy
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real_check = data_engine.check
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def checking(sql, **kw):
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out = real_check(sql, **kw)
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if holder.spy is not None:
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holder.spy.checked.append(out)
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return out
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def on_execute(conn, cursor, statement, parameters, context, executemany):
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if holder.spy is not None and holder.spy.db_name in str(conn.engine.url):
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holder.spy.executed.append(statement)
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monkeypatch.setattr(data_engine, "check", checking)
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event.listen(Engine, "before_cursor_execute", on_execute)
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yield watch
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event.remove(Engine, "before_cursor_execute", on_execute)
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def _url(sid: str) -> str:
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return f"/api/datasources/{sid}/catalog/profile"
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async def _notes(client, sid: str, table: str) -> dict:
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r = await client.get(f"/api/datasources/{sid}/catalog/{table}")
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assert r.status_code == 200, r.text
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return r.json()
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def _relation(notes: dict, column: str) -> dict:
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return next(r for r in notes.get("relations") or [] if r["columns"] == [column])
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def _table(body: dict, name: str) -> dict:
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return next(t for t in body["tables"] if t["table_name"] == name)
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def _reasons(table: dict) -> set[str]:
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return {s["reason"] for s in table["skipped"]}
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# ---------------------------------------------------------------- 开关与设置
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async def test_profile_is_off_by_default_and_says_where_to_turn_it_on(client, make_source, scenic_db, spy):
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sid = await make_source(scenic_db, draft=["visits"])
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watch = spy(scenic_db)
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watch.clear()
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r = await client.post(_url(sid), json={"tables": ["visits"]}, headers=ACTOR)
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assert r.status_code == 409
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detail = r.json()["detail"]
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assert "数据源设置" in detail and "开启数据剖析" in detail
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assert watch.executed == [] # 一条查询都没发
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async def test_settings_are_saved_and_validated_through_datasource_update(client, make_source, scenic_db):
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sid = await make_source(scenic_db)
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r = await client.patch(f"/api/datasources/{sid}", json={"options": _on(max_queries=0)})
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assert r.status_code == 422 and "查询次数上限" in r.json()["detail"]
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r = await client.patch(f"/api/datasources/{sid}", json={"options": _on(max_queries=40, sample_size=500)})
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assert r.status_code == 200, r.text
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assert r.json()["options"][PROFILE_OPTION] == {"enabled": True, "max_queries": 40, "sample_size": 500}
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# 设好以后就能剖析；返回里带着这次实际用的设置
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r = await client.post(_url(sid), json={"tables": ["channels"]}, headers=ACTOR)
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assert r.status_code == 200, r.text
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assert r.json()["settings"]["max_queries"] == 40 and r.json()["settings"]["sample_size"] == 500
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# ---------------------------------------------------------------- 剖析的结论
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async def test_profile_verifies_name_relations_and_proposes_codes_and_business_date(client, make_source, scenic_db,
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spy):
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sid = await make_source(scenic_db, options=_on(), draft=["visits", "channels"])
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watch = spy(scenic_db)
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watch.clear()
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r = await client.post(_url(sid), json={"tables": ["visits", "channels"]}, headers=ACTOR)
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assert r.status_code == 200, r.text
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body = r.json()
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# 所有发到业务库的语句都经过了守卫
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assert watch.all_guarded(), watch.executed
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assert body["queries_used"] == len(watch.executed) <= body["settings"]["max_queries"]
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assert body["queries_used"] == sum(t["queries"] for t in body["tables"])
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assert body["stopped"] is None and body["actor"] == "周宁" and body["profiled_at"]
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notes = (await _notes(client, sid, "visits"))
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assert notes["updated_by"] == "周宁"
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notes = notes["notes"]
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# 命名推断出来的两条关系：数据对得上、父表主键唯一 → 有确证，来源记为数据剖析
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for column, parent in (("gate_id", "gates"), ("member_id", "members")):
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rel = _relation(notes, column)
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assert rel["to_table"] == parent
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assert (rel["source"], rel["status"]) == ("profile", "verified")
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assert rel["coverage"] == 1.0 and rel["cardinality"] == "many_to_one"
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assert "数据剖析" in rel["note"] and "抽样" in rel["note"]
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# 子表一侧数过 COUNT 和 COUNT(DISTINCT)、确有重复：基数是用数据核实的（A6，一对多关联的检查据此给 error）
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assert rel["cardinality_checked"] is True
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# A7：说明里不写日期，时间看这一项的 updated_at（界面按本地时间显示）
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assert rel["note"].startswith("数据剖析：") and not re.search(r"\d{4}-\d{2}-\d{2}", rel["note"])
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assert rel["updated_at"]
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# 外键约束来的关系不动：外键是外键，剖析是剖析
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park = _relation(notes, "park_id")
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assert (park["source"], park["status"], park["coverage"]) == ("fk", "verified", None)
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assert "cardinality_checked" not in park # 外键的基数是按表结构推的，没用数据核对
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# 状态列：码值候选，值有了、含义留空，推断
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codes = notes["columns"]["status"]["codes"]
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assert codes["value"] == {"1": "", "0": ""}
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assert (codes["source"], codes["status"]) == ("profile", "proposed") and "1500" in codes["note"]
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# 只有一个日期类列：提议为业务日期，备注里写明取值范围
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bdate = notes["business_date"]
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assert bdate["value"] == {"column": "visit_time"} and (bdate["source"], bdate["status"]) == ("profile", "proposed")
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assert "2026-07" in bdate["note"] and "2026-09" in bdate["note"]
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channels = (await _notes(client, sid, "channels"))["notes"]
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assert set(channels["columns"]["channel_type"]["codes"]["value"]) == {"线上直销", "线下", "分销"}
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assert "channel_code" not in channels.get("columns", {}) # 唯一约束列不是码值
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visits = _table(body, "visits")
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kinds = sorted(f["kind"] for f in visits["findings"])
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assert kinds == ["business_date", "codes", "relation", "relation"]
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gate = next(f for f in visits["findings"] if f["kind"] == "relation" and f["columns"] == ["gate_id"])
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assert gate["status"] == "verified" and gate["path"] == f"relations.{_relation(notes, 'gate_id')['id']}"
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assert gate["sample"] == 8 and gate["matched"] == 8 and gate["summary"]
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assert visits["row_estimate"] == {"rows": 1500, "method": "count", "at_least": None}
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assert visits["added"] == 2 and visits["updated"] == 2 and visits["error"] is None
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async def test_wrong_name_relation_stays_proposed_with_coverage_in_note(client, make_source, tmp_path):
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"""推错的命名关系：parking_records.lot_id 按名字对上了新建的 lots 表，但停车记录里的区号大多不在里面。"""
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path = scenic.build(tmp_path / "lots.db")
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db = sqlite3.connect(path)
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try:
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db.execute("CREATE TABLE lots (id INTEGER PRIMARY KEY, name TEXT NOT NULL)")
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db.executemany("INSERT INTO lots VALUES (?, ?)", [(i, f"{i} 号停车区") for i in (1, 2, 3)])
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db.executemany("INSERT INTO parking_records VALUES (?, ?, ?, ?, ?, ?)",
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[(i, 1 + i % 20, None, "2026-08-01 09:00:00", None, 10.0) for i in range(1, 101)])
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db.commit()
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finally:
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db.close()
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sid = await make_source(path, options=_on(), draft=["parking_records"])
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before = _relation((await _notes(client, sid, "parking_records"))["notes"], "lot_id")
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assert (before["to_table"], before["source"], before["status"]) == ("lots", "name", "proposed")
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r = await client.post(_url(sid), json={"tables": ["parking_records"]}, headers=ACTOR)
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assert r.status_code == 200, r.text
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rel = _relation((await _notes(client, sid, "parking_records"))["notes"], "lot_id")
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assert rel["status"] == "proposed" and rel["source"] == "profile"
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assert rel["coverage"] == 0.15
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assert "抽样覆盖率 15%" in rel["note"] and "可能不是这条关系" in rel["note"] and "20 个" in rel["note"]
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finding = _table(r.json(), "parking_records")["findings"][0]
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assert finding["status"] == "proposed" and finding["coverage"] == 0.15
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# 两个日期类列：不提议业务日期，取值范围只在返回里
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ranges = {d["column"] for d in _table(r.json(), "parking_records")["date_ranges"]}
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assert ranges == {"entered_at"} # exited_at 全是空值
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assert "business_date" not in (await _notes(client, sid, "parking_records"))["notes"]
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async def test_confirmed_relation_only_gets_coverage_and_cardinality(client, make_source, scenic_db):
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sid = await make_source(scenic_db, options=_on(), draft=["visits"])
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detail = await _notes(client, sid, "visits")
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gate = _relation(detail["notes"], "gate_id")
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r = await client.post(f"/api/datasources/{sid}/catalog/visits/review",
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json={"path": f"relations.{gate['id']}", "action": "confirm",
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"if_version": detail["version"]})
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assert r.status_code == 200, r.text
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r = await client.post(_url(sid), json={"tables": ["visits"]}, headers=ACTOR)
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assert r.status_code == 200, r.text
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rel = _relation((await _notes(client, sid, "visits"))["notes"], "gate_id")
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assert (rel["source"], rel["status"]) == ("name", "confirmed")
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assert rel["coverage"] == 1.0 and rel["cardinality"] == "many_to_one"
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# 人定的基数不改；原来就有基数（命名推断记的多对一），剖析也不给它记「用数据核实过」
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assert "cardinality_checked" not in rel
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finding = next(f for f in _table(r.json(), "visits")["findings"] if f.get("columns") == ["gate_id"])
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assert finding["status"] == "confirmed" and finding["confirmed"] is True
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async def test_rerun_with_same_data_changes_nothing(client, make_source, scenic_db):
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"""同一天、数据没变：第二次剖析不改目录、不升版本（冻结进快照的目录不会无故变）。"""
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sid = await make_source(scenic_db, options=_on(), draft=["visits"])
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first = (await client.post(_url(sid), json={"tables": ["visits"]})).json()
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second = (await client.post(_url(sid), json={"tables": ["visits"]})).json()
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a, b = _table(first, "visits"), _table(second, "visits")
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assert (b["added"], b["updated"], b["removed"]) == (0, 0, 0)
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assert b["version"] == a["version"]
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# 逐条结论按实际变化说：第一次是从推断升上来的，第二次原本就是已验证，不能再说「升为」
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gate_a = next(f for f in a["findings"] if f.get("columns") == ["gate_id"])
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gate_b = next(f for f in b["findings"] if f.get("columns") == ["gate_id"])
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assert (gate_a["previous_status"], gate_a["status"]) == ("proposed", "verified") and "升为有确证" in gate_a["summary"]
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assert (gate_b["previous_status"], gate_b["status"]) == ("verified", "verified") and "仍为有确证" in gate_b["summary"]
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# ---------------------------------------------------------------- 安全约束
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async def test_masked_columns_are_never_queried(client, make_source, scenic_db, spy):
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sid = await make_source(scenic_db, options={**_on(), "mask_columns": "member_id, Channel_Type"},
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draft=["visits", "channels"])
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watch = spy(scenic_db)
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watch.clear()
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r = await client.post(_url(sid), json={"tables": ["visits", "channels"]}, headers=ACTOR)
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assert r.status_code == 200, r.text
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assert watch.all_guarded()
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assert watch.mentions("member_id") == [] and watch.mentions("channel_type") == []
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visits, channels = _table(r.json(), "visits"), _table(r.json(), "channels")
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masked = [s for s in visits["skipped"] + channels["skipped"] if s["reason"] == "masked"]
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assert {s["target"] for s in masked} == {"member_id → members.id", "channel_type"}
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assert all("遮罩" in s["detail"] for s in masked)
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notes = (await _notes(client, sid, "visits"))["notes"]
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assert _relation(notes, "member_id")["source"] == "name" # 没动
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assert _relation(notes, "gate_id")["status"] == "verified" # 其余照常
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assert "channel_type" not in ((await _notes(client, sid, "channels"))["notes"].get("columns") or {})
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async def test_query_budget_stops_profiling_and_reports_the_rest(client, make_source, scenic_db, spy):
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sid = await make_source(scenic_db, options=_on(max_queries=3), draft=["visits"])
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watch = spy(scenic_db)
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watch.clear()
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r = await client.post(_url(sid), json={"tables": ["visits", "channels"]}, headers=ACTOR)
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assert r.status_code == 200, r.text
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body = r.json()
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assert body["queries_used"] == 3 == len(watch.executed) and body["stopped"] == "budget"
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visits, channels = _table(body, "visits"), _table(body, "channels")
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assert "budget" in _reasons(visits)
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assert channels["queries"] == 0 and _reasons(channels) == {"budget"}
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assert all("查询次数" in s["detail"] for s in visits["skipped"] + channels["skipped"] if s["reason"] == "budget")
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# 没查完的关系不改：原来的命名推断原样留着
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rel = _relation((await _notes(client, sid, "visits"))["notes"], "member_id")
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assert (rel["source"], rel["status"]) == ("name", "proposed")
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async def test_single_query_timeout_is_recorded_and_profiling_continues(client, make_source, scenic_db, monkeypatch):
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"""闸口的抽样查询换成一条停不下来的递归查询：1 秒时限到点由数据库掐断，记为超时，其余照常。"""
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sid = await make_source(scenic_db, options=_on(query_timeout_s=1), draft=["visits"])
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real = data_engine.run_query
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endless = "WITH RECURSIVE r(x) AS (SELECT 1 UNION ALL SELECT x + 1 FROM r) SELECT COUNT(*) FROM r"
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async def slow_gate(source, sql, *, limits=None):
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if "gate_id" in sql and "DISTINCT" in sql and "COUNT" not in sql:
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assert limits is not None and limits.timeout_seconds == 1
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return await real(source, endless, limits=limits)
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return await real(source, sql, limits=limits)
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monkeypatch.setattr(data_engine, "run_query", slow_gate)
|
|
r = await client.post(_url(sid), json={"tables": ["visits"]}, headers=ACTOR)
|
|
assert r.status_code == 200, r.text
|
|
visits = _table(r.json(), "visits")
|
|
timeout = [s for s in visits["skipped"] if s["reason"] == "timeout"]
|
|
assert [s["target"] for s in timeout] == ["gate_id → gates.id"] and "超时" in timeout[0]["detail"]
|
|
assert r.json()["stopped"] is None
|
|
notes = (await _notes(client, sid, "visits"))["notes"]
|
|
assert _relation(notes, "gate_id")["source"] == "name" # 超时的不改
|
|
assert _relation(notes, "member_id")["status"] == "verified" # 其余照常
|
|
|
|
|
|
async def test_total_deadline_stops_profiling(make_source, scenic_db, monkeypatch):
|
|
sid = await make_source(scenic_db, draft=["visits"])
|
|
real = data_engine.run_query
|
|
|
|
async def slow(source, sql, *, limits=None):
|
|
await asyncio.sleep(0.5)
|
|
return await real(source, sql, limits=limits)
|
|
|
|
monkeypatch.setattr(data_engine, "run_query", slow)
|
|
async with SessionLocal() as session:
|
|
row = await session.get(DataSource, sid)
|
|
settings = ProfileSettings(enabled=True, max_total_s=1.4)
|
|
report = await catalog_profile.profile_catalog(session, row, row, tables=["visits"], actor=None,
|
|
settings=settings)
|
|
assert report.stopped == "deadline"
|
|
assert 1 <= report.queries_used <= 3
|
|
reasons = {s.reason for t in report.tables for s in t.skipped}
|
|
assert "deadline" in reasons
|
|
|
|
|
|
async def test_large_tables_get_no_full_scans(client, make_source, scenic_db, spy):
|
|
"""行数超过整表统计上限（这里设成 100 行）：不做 COUNT(DISTINCT)、MIN/MAX，抽样和取值分布都带上限。"""
|
|
sid = await make_source(scenic_db, options=_on(max_scan_rows=100), draft=["visits"])
|
|
watch = spy(scenic_db)
|
|
watch.clear()
|
|
r = await client.post(_url(sid), json={"tables": ["visits"]}, headers=ACTOR)
|
|
assert r.status_code == 200, r.text
|
|
visits = _table(r.json(), "visits")
|
|
assert visits["row_estimate"] == {"rows": None, "method": "count", "at_least": 101}
|
|
on_visits = [s for s in watch.executed if "from visits" in s.lower()]
|
|
assert on_visits and all("LIMIT" in s for s in on_visits), on_visits
|
|
assert not any("MIN(" in s for s in on_visits)
|
|
assert "too_large" in _reasons(visits)
|
|
assert any("太大" in s["detail"] or "上限" in s["detail"] for s in visits["skipped"] if s["reason"] == "too_large")
|
|
# 父表有主键，覆盖率又够：照样有确证；子表一侧没核对唯一，按多对一记，不算用数据核实过基数
|
|
rel = _relation((await _notes(client, sid, "visits"))["notes"], "gate_id")
|
|
assert rel["status"] == "verified" and rel["cardinality"] == "many_to_one"
|
|
assert not rel.get("cardinality_checked")
|
|
|
|
|
|
# ---------------------------------------------------------------- 接口
|
|
|
|
|
|
async def test_concurrent_profile_on_same_source_returns_409(client, make_source, scenic_db, monkeypatch):
|
|
sid = await make_source(scenic_db, options=_on(), draft=["visits"])
|
|
real = data_engine.run_query
|
|
started, release = asyncio.Event(), asyncio.Event()
|
|
|
|
async def held(source, sql, *, limits=None):
|
|
started.set()
|
|
await release.wait()
|
|
return await real(source, sql, limits=limits)
|
|
|
|
monkeypatch.setattr(data_engine, "run_query", held)
|
|
first = asyncio.create_task(client.post(_url(sid), json={"tables": ["visits"]}, headers=ACTOR))
|
|
await asyncio.wait_for(started.wait(), 10)
|
|
second = await client.post(_url(sid), json={"tables": ["visits"]}, headers=ACTOR)
|
|
assert second.status_code == 409 and "正在进行数据剖析" in second.json()["detail"]
|
|
release.set()
|
|
done = await asyncio.wait_for(first, 30)
|
|
assert done.status_code == 200, done.text
|
|
# 做完以后可以再来
|
|
again = await client.post(_url(sid), json={"tables": ["channels"]}, headers=ACTOR)
|
|
assert again.status_code == 200, again.text
|
|
|
|
|
|
async def test_default_tables_are_used_tables_with_relation_candidates(client, make_source, scenic_db):
|
|
sid = await make_source(scenic_db, options=_on(), draft=[])
|
|
r = await client.post(_url(sid), json={}, headers=ACTOR)
|
|
assert r.status_code == 200, r.text
|
|
names = [t["table_name"] for t in r.json()["tables"]]
|
|
assert names and len(names) <= catalog_profile.PROFILE_DEFAULT_TABLES
|
|
async with SessionLocal() as session:
|
|
entries = await catalog.read_catalog(session, sid)
|
|
for name in names:
|
|
rels = entries[name].notes.get("relations") or []
|
|
assert any(rel["source"] not in ("fk",) for rel in rels), name
|
|
assert "parks" not in names and "channels" not in names # 没有待核实关系的表不选
|
|
|
|
|
|
async def _candidates(sid: str) -> tuple[list[str], set[str]]:
|
|
"""默认挑表的候选（目录里有要核对的关系的表，按表结构顺序）和其中还有待核实（推断）关系的那些。"""
|
|
async with SessionLocal() as session:
|
|
row = await session.get(DataSource, sid)
|
|
entries = await catalog.read_catalog(session, sid)
|
|
order = list((row.schema_cache or {}).get("tables") or {})
|
|
rels = {name: catalog_profile._relation_candidates(entries[name].notes) for name in order if name in entries}
|
|
names = [name for name in order if rels.get(name)]
|
|
return names, {name for name in names if any(r["status"] == "proposed" for r in rels[name])}
|
|
|
|
|
|
async def test_default_pick_skips_empty_tables_and_prefers_pending_relations(client, make_source, tmp_path,
|
|
monkeypatch):
|
|
"""B1：表都没被运行查询过（使用次数都是 0）时，以前按表结构顺序取前几张，结果大半是空表（景区库里排在前面的
|
|
候选表正好多数没有数据）。现在跳过行数估计为 0 的表（记在 empty_tables 里），并且先挑还有待核实关系的表，
|
|
不把刚核实过的再剖析一遍。默认张数调成 3，好在一个小库上看出先后。"""
|
|
monkeypatch.setattr(catalog_profile, "PROFILE_DEFAULT_TABLES", 3)
|
|
path = scenic.build(tmp_path / "b1.db")
|
|
db = sqlite3.connect(path)
|
|
try:
|
|
tables = [r[0] for r in db.execute("SELECT name FROM sqlite_master WHERE type = 'table' ORDER BY rowid")]
|
|
empty = {t for t in tables if db.execute(f'SELECT COUNT(*) FROM "{t}"').fetchone()[0] == 0}
|
|
finally:
|
|
db.close()
|
|
sid = await make_source(str(path), options=_on(), draft=tables)
|
|
names, pending = await _candidates(sid)
|
|
full = [name for name in names if name not in empty]
|
|
# 前提：按表结构顺序的前 3 张候选里有空表（以前就会挑中它们），有数据、还待核实的候选不止 6 张
|
|
assert set(names[:3]) & empty
|
|
assert len([name for name in full if name in pending]) >= 6
|
|
|
|
first = (await client.post(_url(sid), json={}, headers=ACTOR)).json()
|
|
picked = [t["table_name"] for t in first["tables"]]
|
|
assert len(picked) == 3 and not set(picked) & empty, picked
|
|
assert first["empty_tables"] and set(first["empty_tables"]) <= empty
|
|
assert all(t["queries"] > 0 for t in first["tables"])
|
|
assert first["queries_used"] >= sum(t["queries"] for t in first["tables"]) + len(first["empty_tables"])
|
|
|
|
# 第二次：先挑还有待核实关系的表；第一次核实过的（关系都升为有确证了）排到后面，这次挑不到
|
|
names, pending = await _candidates(sid)
|
|
assert not set(picked) & pending # 第一次挑的三张，关系都核实了
|
|
second = (await client.post(_url(sid), json={}, headers=ACTOR)).json()
|
|
again = [t["table_name"] for t in second["tables"]]
|
|
assert len(again) == 3 and all(name in pending for name in again), (again, pending)
|
|
assert not set(again) & set(picked) and not set(again) & empty
|
|
|
|
|
|
async def test_profile_note_when_every_candidate_is_empty(client, make_source, tmp_path):
|
|
path = scenic.build(tmp_path / "b1-empty.db")
|
|
sid = await make_source(str(path), options=_on(), draft=[])
|
|
names, _ = await _candidates(sid)
|
|
db = sqlite3.connect(path)
|
|
try:
|
|
for name in names:
|
|
db.execute(f'DELETE FROM "{name}"')
|
|
db.commit()
|
|
finally:
|
|
db.close()
|
|
body = (await client.post(_url(sid), json={}, headers=ACTOR)).json()
|
|
assert body["tables"] == [] and set(body["empty_tables"]) == set(names)
|
|
assert "空表" in body["note"]
|
|
|
|
|
|
async def test_unknown_table_and_missing_source(client, make_source, scenic_db):
|
|
sid = await make_source(scenic_db, options=_on(), draft=["visits"])
|
|
r = await client.post(_url(sid), json={"tables": ["nope"]}, headers=ACTOR)
|
|
assert r.status_code == 200
|
|
assert _table(r.json(), "nope")["error"] and r.json()["queries_used"] == 0
|
|
r = await client.post(_url("0" * 32), json={}, headers=ACTOR)
|
|
assert r.status_code == 404
|