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验收报告里 certify.freeze 的四处：
- 口径卡的 caliber 用的是代表问题的原文，没用传入的 name。改成 name（去首尾空白）优先，没传才用代表问题。
- 报告的 instructions 写死成「回答：<代表问题>」，问题里带着那一轮的日期（「上周（10月5日到11日）」「九月第一周」），
参数化之后这句就错了。有入口参数时改写运行时渲染的参数（「这次的参数：p1 = {{ input.p1 }}，…；时间范围、筛选的
取值以参数为准」），不写问题原文；没有参数时取数的字面量都是口径的常量，照旧写问题原文。
- 指标名直接用列名。现在能从数据目录取到中文名的用中文名：先看查询快照冻结的目录（schema_artifact，和口径比对用的
同一份，ledger.match._frozen），老快照没冻结的看数据源现在的目录；只认列名本身就是目录里的一列（SELECT amount、
SUM(amount) AS amount），gmv 这类算出来起的别名取不到，照旧用列名。
- 认证队列里 cluster 项的 frozen_into 把同一个工作流列了好几次：固化时同组的几次运行都记进 origin.sources，一项里
的几次运行就各指一遍同一个工作流。shape 项同样会重。加 _frozen_of 按工作流去重（保持先后），三种项都用它。
测试（test_ledger_certify）：原来的固化用例改成断言指令里没有代表问题和日期、有 {{ input.p1 }} {{ input.p2 }}，
没传名字时口径卡照旧用代表问题，shape 和 cluster 两项的 frozen_into 都只有一个工作流；新增一条：传了名字的口径卡
用名字，目录里有中文名的列（amount → 金额）用中文名、取不到的照旧（n），没有参数时指令照旧写问题原文。去掉修复
回跑两条都挂。
273 lines
15 KiB
Python
273 lines
15 KiB
Python
"""沉淀：可沉淀的问题（认证队列）和「固化成口径草稿」（next-round 02 做法 8，app/ledger/certify.py）。
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真的跑三次问数据（两段对话、同一个 SQL 形状、日期不同，虚构店铺库），等后台比对做完：
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- 队列：确定性重复进队（3 次运行、2 段对话），变了的字面量是参数候选、不变的是常量，形状里不带取值；同一个问题问了 3 次
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进问题聚类；导出过两次的、做成过应用的答案进「被反复用的答案」；点「不是口径」写审计后不再进队；
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- 固化：报告引用的查询变成固定 SQL 的取数节点，跨轮变化的日期成为入口参数（缺省值取代表运行的），常量 'paid' 照写；单行
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结果的数值列成口径卡指标；出口契约 report_from + metrics_from；过 validate_graph 和受管级别的发布门禁；origin.sources 记
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三个来源问题；
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- 按受管级别发布之后：来源运行在后台按它补比（trigger=certified），查询变成等价已证明、出了队；再问一次同样的形状，标
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「等价已证明」；
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- 统计 E3：认证队列的转化（固化、发布、不是口径）有数了。
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数据是虚构店铺库。
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"""
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from __future__ import annotations
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import pytest
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from httpx import ASGITransport, AsyncClient
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from app.db.base import SessionLocal
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from app.db.models import Conversation, ConversationTurn, Run, Workflow
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from app.engine.runner import run_manager
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from app.engine.schema import GraphSpec, validate_graph
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from app.ledger import certify
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from app.ledger import match as ledger_match
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from app.ledger import store
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from app.main import app
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from tests import ledger_samples as S
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QUESTION = "九月第一周卖了多少"
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WEEKS = [("2026-09-01", "2026-09-08"), ("2026-09-02", "2026-09-09"), ("2026-09-03", "2026-09-10")]
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def weekly(start: str, end: str) -> str:
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return (f"SELECT SUM(amount) AS gmv FROM orders WHERE status = 'paid' AND paid_at >= '{start}' "
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f"AND paid_at < '{end}'")
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@pytest.fixture(autouse=True)
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async def engine_up(tmp_path):
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await run_manager.setup()
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await S.fresh_source(tmp_path / "shop.db")
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yield
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await ledger_match.drain()
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await run_manager.shutdown()
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@pytest.fixture
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async def client():
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async with AsyncClient(transport=ASGITransport(app=app), base_url="http://test") as c:
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yield c
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async def conversation() -> str:
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async with SessionLocal() as session:
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conv = Conversation(title="问销售", kind="chat")
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session.add(conv)
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await session.commit()
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return conv.id
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async def ask(monkeypatch, conversation_id: str, sql: str, question: str = QUESTION) -> Run:
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"""问数据的一轮：建轮次、跑一次问数据运行（来源记着对话和轮次）、挂回轮次、等比对做完。"""
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async with SessionLocal() as session:
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turn = ConversationTurn(conversation_id=conversation_id, question=question)
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session.add(turn)
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await session.commit()
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turn_id = turn.id
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S.script(monkeypatch, "这一周销售额 [[v:Q1.r0.gmv]]。")
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run = await run_manager.start(graph=S.explore_graph(sql), input_payload={"question": question}, origin_kind="chat",
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origin={"conversation_id": conversation_id, "turn_id": turn_id})
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row = await S.wait(run.id)
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assert row.status == "succeeded", row.error
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async with SessionLocal() as session:
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(await session.get(ConversationTurn, turn_id)).run_id = row.id
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await session.commit()
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await ledger_match.drain()
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return row
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async def three_asks(monkeypatch) -> list[Run]:
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a, b = await conversation(), await conversation()
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return [await ask(monkeypatch, conv, weekly(*week)) for conv, week in zip((a, a, b), WEEKS)]
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def shape_items(body: dict) -> list[dict]:
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return [i for i in body["items"] if i["kind"] == "shape" and i["source"] == S.CURRENT["source"]]
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# --------------------------------------------------------------------------
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# 队列
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# --------------------------------------------------------------------------
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def test_varying_literals_are_parameters_and_the_template_puts_them_back():
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shape = certify.Shape("shop", "SELECT SUM(amount) AS gmv FROM orders WHERE status = ? AND paid_at >= ? AND x = ?",
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("'paid'", "'2026-09-01'", "3"))
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assert certify.varying([shape.literals, ("'paid'", "'2026-09-02'", "4")]) == [1, 2]
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template, fields = certify.template_of(shape, [1, 2], "sqlite", start=3)
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assert template == ("SELECT SUM(amount) AS gmv FROM orders WHERE status = 'paid' AND paid_at >= '{{ input.p3 }}' "
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"AND x = {{ input.p4 }}")
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assert fields == [{"name": "p3", "type": "string", "required": True, "default": "2026-09-01"},
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{"name": "p4", "type": "number", "required": True, "default": 3}]
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async def test_repeated_shapes_questions_and_reused_answers_queue_up(client, monkeypatch):
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runs = await three_asks(monkeypatch)
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body = (await client.get("/api/ledger/certify-queue")).json()
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[item] = shape_items(body)
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assert item["runs"] == 3 and item["conversations"] == 2 and item["question"] == QUESTION
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assert item["params"] == [{"index": 1, "distinct": 3}, {"index": 2, "distinct": 3}] and item["constants"] == 1
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assert "2026-09" not in item["shape"] and "'paid'" not in item["shape"] and "?" in item["shape"]
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assert {t["run_id"] for t in item["turns"]} == {r.id for r in runs}
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assert all(t["turn_id"] and t["conversation_id"] for t in item["turns"])
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assert item["representative"]["run_id"] in {r.id for r in runs} and len(item["peers"]) == 2
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assert item["related"] == [] and item["frozen_into"] == []
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clusters = [i for i in body["items"] if i["kind"] == "cluster" and i["question"] == QUESTION]
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assert clusters and clusters[0]["count"] >= 3
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# 被反复用的答案：导出过两次的、做成过应用的
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from app.db.models_blueprints import Blueprint
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async with SessionLocal() as session:
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from app.auth.audit import record
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for _ in range(2):
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await record(session, "report.exported", "run", runs[0].id, data={"format": "html"})
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session.add(Blueprint(name="周销售应用", source={"kind": "run", "id": runs[1].id}, spec={}))
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await session.commit()
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body = (await client.get("/api/ledger/certify-queue")).json()
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reused = {i["representative"]["run_id"]: i for i in body["items"] if i["kind"] == "reused"}
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assert reused[runs[0].id]["uses"]["exports"] == 2 and reused[runs[1].id]["uses"]["app"] is True
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assert runs[2].id not in reused
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# 「不是口径」：记审计，之后不再进队
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res = await client.post("/api/ledger/certify-queue/dismiss", json={"item_id": item["id"], "kind": "shape"})
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assert res.status_code == 200
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assert shape_items((await client.get("/api/ledger/certify-queue")).json()) == []
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stats = (await client.get("/api/ledger/stats")).json()["e3"]["certify"]
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assert stats["available"] is True and stats["dismissed"] >= 1
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async def test_two_runs_or_one_conversation_are_not_enough(client, monkeypatch):
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conv = await conversation()
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for week in WEEKS:
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await ask(monkeypatch, conv, weekly(*week))
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assert shape_items((await client.get("/api/ledger/certify-queue")).json()) == [], "只来自一段对话"
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# --------------------------------------------------------------------------
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# 固化、发布、再问
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# --------------------------------------------------------------------------
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async def test_freezing_makes_a_fixed_sql_draft_that_passes_the_governed_gate(client, monkeypatch):
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from app.engine.governance import publish_issues
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runs = await three_asks(monkeypatch)
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[item] = shape_items((await client.get("/api/ledger/certify-queue")).json())
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rep = item["representative"]["run_id"]
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res = await client.post("/api/copilot/from-run", json={"run_id": rep, "freeze": True, "peers": item["peers"]})
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assert res.status_code == 200, res.text
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made = res.json()
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assert made["frozen"] is True and made["params"] == ["p1", "p2"] and made["metrics"] == ["m1"]
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async with SessionLocal() as session:
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wf = await session.get(Workflow, made["workflow_id"])
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assert wf.status == "draft" and "certified" in wf.tags
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nodes = {n["id"]: n for n in wf.graph["nodes"]}
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assert set(nodes) == {"start", "fetch", "card", "write", "out"}
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rep_run = next(r for r in runs if r.id == rep)
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start, end = WEEKS[[r.id for r in runs].index(rep)]
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assert nodes["start"]["data"]["config"]["fields"] == [
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{"name": "p1", "type": "string", "required": True, "default": start},
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{"name": "p2", "type": "string", "required": True, "default": end}]
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sql = nodes["fetch"]["data"]["config"]["args"]["sql"]
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assert "'{{ input.p1 }}'" in sql and "'{{ input.p2 }}'" in sql and "'paid'" in sql
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assert nodes["fetch"]["data"]["config"]["tool"] == S.tool()
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assert nodes["card"]["data"]["config"]["metrics"] == [
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{"id": "m1", "name": "gmv", "expression": "cell(nodes.fetch, 0, 'gmv')"}]
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assert nodes["out"]["data"]["config"]["contract"] == {"report_from": "write", "metrics_from": "card",
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"required": ["m1"]}
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assert {k: nodes["write"]["data"]["config"].get(k) for k in ("numbers", "on_violation", "claims")} == {
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"numbers": "strict", "on_violation": "fail", "claims": "require_citation"}
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# 有入口参数：不写代表那一轮的问题原文（「九月第一周」参数化之后就不对了），写运行时渲染的参数
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instructions = nodes["write"]["data"]["config"]["instructions"]
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assert QUESTION not in instructions and "2026-09" not in instructions, instructions
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assert "{{ input.p1 }}" in instructions and "{{ input.p2 }}" in instructions
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assert nodes["card"]["data"]["config"]["caliber"] == QUESTION, "没传名字：口径卡照旧用代表问题"
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spec = GraphSpec.model_validate(wf.graph)
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assert not [i for i in validate_graph(spec).issues if i.level == "error"]
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assert not [i for i in publish_issues(spec, level="governed") if i.level == "error"], \
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[i.message for i in publish_issues(spec, level="governed") if i.level == "error"]
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assert [s["run_id"] for s in wf.origin["sources"]][0] == rep and len(wf.origin["sources"]) == 3
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assert all(s["question"] == QUESTION for s in wf.origin["sources"])
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assert wf.origin["run_id"] == rep_run.id and wf.origin["freeze"] is True
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# 队列上标着已经固化过：同一个工作流只列一次（三个来源运行都指着它）
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body = (await client.get("/api/ledger/certify-queue")).json()
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[again] = shape_items(body)
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assert [w["workflow_id"] for w in again["frozen_into"]] == [wf.id]
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[cluster] = [i for i in body["items"] if i["kind"] == "cluster" and i["question"] == QUESTION]
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assert [w["workflow_id"] for w in cluster["frozen_into"]] == [wf.id], cluster["frozen_into"]
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# 按受管级别发布：来源运行在后台补比，变成等价已证明、出了队
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res = await client.post(f"/api/workflows/{wf.id}/publish", json={"level": "governed"})
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assert res.status_code == 200, res.text
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await ledger_match.drain()
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for run in runs:
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recorded = await store.latest(run.id)
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assert recorded.trigger == "certified" and recorded.retro is True
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[query] = recorded.content["queries"]
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assert query["status"] == "proven" and query["candidates"][0]["caliber"] == f"{wf.id}@1"
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body = (await client.get(f"/api/runs/{runs[0].id}/ledger")).json()
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assert body["retro_note"] == "按之后发布的口径回看"
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assert shape_items((await client.get("/api/ledger/certify-queue")).json()) == []
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# 再问一次同样的形状：标等价已证明
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later = await ask(monkeypatch, await conversation(), weekly("2026-09-05", "2026-09-12"))
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[label] = (await store.latest(later.id)).content["reports"]["write"]["labels"].values()
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assert label["kind"] == "caliber" and label["how"] == "independent" and label["caliber"] == f"{wf.id}@1"
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assert label["binding"] == {"p1": "2026-09-05", "p2": "2026-09-12"}
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stats = (await client.get("/api/ledger/stats")).json()["e3"]["certify"]
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assert stats["frozen"] >= 1 and stats["published"] >= 1
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async def test_freezing_uses_the_given_name_and_catalog_labels_and_no_dates_without_parameters(client, monkeypatch):
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"""传了名字：口径卡用它（下一轮验收：以前用代表问题的原文）。指标名能从数据目录取到中文名的用中文名，取不到照旧用
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列名。没有入口参数（字面量都没变过）时报告指令照旧写问题原文：那时问题里的日期就是口径的常量。"""
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from app.data import catalog
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from app.db.models import DataSource
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from sqlalchemy import select
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async with SessionLocal() as session:
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source = (await session.execute(select(DataSource).where(DataSource.name == S.CURRENT["source"]))).scalar_one()
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await catalog.write_entry(session, source.id, "orders", {"columns": {
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"amount": {"label": catalog.make_item("金额", "human")}}}, if_version=0, actor="测试员")
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sql = "SELECT SUM(amount) AS amount, COUNT(*) AS n FROM orders WHERE status = 'paid' AND paid_at >= '2026-09-01'"
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S.script(monkeypatch, "金额 [[v:Q1.r0.amount]]，[[v:Q1.r0.n]] 单。")
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conv = await conversation()
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async with SessionLocal() as session:
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turn = ConversationTurn(conversation_id=conv, question=QUESTION)
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session.add(turn)
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await session.commit()
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turn_id = turn.id
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run = await run_manager.start(graph=S.explore_graph(sql), input_payload={"question": QUESTION}, origin_kind="chat",
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origin={"conversation_id": conv, "turn_id": turn_id})
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row = await S.wait(run.id)
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assert row.status == "succeeded", row.error
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async with SessionLocal() as session:
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(await session.get(ConversationTurn, turn_id)).run_id = row.id
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await session.commit()
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await ledger_match.drain()
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res = await client.post("/api/copilot/from-run", json={"run_id": row.id, "freeze": True, "name": "九月销售额口径"})
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assert res.status_code == 200, res.text
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made = res.json()
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assert made["params"] == [] and made["name"] == "九月销售额口径"
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async with SessionLocal() as session:
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wf = await session.get(Workflow, made["workflow_id"])
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nodes = {n["id"]: n for n in wf.graph["nodes"]}
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card = nodes["card"]["data"]["config"]
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assert card["caliber"] == "九月销售额口径"
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assert [(m["name"], m["expression"]) for m in card["metrics"]] == [
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("金额", "cell(nodes.fetch, 0, 'amount')"), ("n", "cell(nodes.fetch, 0, 'n')")]
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assert nodes["write"]["data"]["config"]["instructions"] == f"回答：{QUESTION}"
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async def test_freezing_needs_a_matched_successful_run(client, monkeypatch):
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res = await client.post("/api/copilot/from-run", json={"run_id": "nope", "freeze": True})
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assert res.status_code == 404
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row = await S.explore(monkeypatch, S.ELSEWHERE, text="一共几家店，没有引用。")
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res = await client.post("/api/copilot/from-run", json={"run_id": row.id, "freeze": True})
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assert res.status_code == 409 and res.json()["detail"] == certify.NO_QUERIES
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