feat: release 1.5.1 with human review and batch filters

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chenmingxuan committed 2026-10-12 15:31:38 +08:00
1 parent 53c5680260
commit bdd1aa2c14
36 files changed
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@@ -780,7 +780,7 @@ def test_failed_report_exposes_logged_reason_and_formats_chinese_markdown(isolat
)
report = reports.session_report(job["session_id"])
assert "连续 3 次" in report["error"]
assert report["verdict"] == "测试阻塞"
assert report["verdict"] == "测试阻塞(AI确认)"
assert report["test_result"]["status"] == "blocked"
assert "连续 3 次" in report["test_result"]["reason"]
assert "abc123secret" not in reports.failure_reason(
@@ -844,8 +844,8 @@ def test_prompt_based_verdict_is_consistent_in_history_batch_and_reports(
report = client.get(f"/api/automation/reports/{job['session_id']}").json()
for item in (history, batch_job, report):
assert item["status"] == "completed"
assert item["test_result"] == result
assert report["verdict"] == "测试不通过"
assert item["test_result"] == {**result, "source": "ai"}
assert report["verdict"] == "测试不通过(AI确认)"
paths = reports.export_session(job["session_id"])
doc = Document(next(path for path in paths if path.suffix == ".docx"))
doc_text = "\n".join(
@@ -856,10 +856,133 @@ def test_prompt_based_verdict_is_consistent_in_history_batch_and_reports(
assert result["evidence"][0] in doc_text
wb = load_workbook(next(path for path in paths if path.suffix == ".xlsx"))
values = [cell.value for row in wb["任务结果"].iter_rows() for cell in row]
assert "测试不通过" in values
assert "测试不通过(AI确认)" in values
assert result["reason"] in values
def test_human_review_overrides_every_report_preserves_ai_and_invalidates_batch_cache(
client, isolated, monkeypatch
):
from artemis.runtime import case_result
from apps.admin_console.routers import sessions as sessions_api
monkeypatch.setattr(case_result, "TRACES_PATH", reports.TRACES_PATH)
batch = service.create_batch(payload())
jobs = isolated.jobs(batch["id"])
for job in jobs:
isolated.save_job({**job, "status": "completed", "ended_at": time.time()})
session_id = jobs[0]["session_id"]
ai = {"status": "failed", "reason": "AI识别到预期不匹配", "evidence": ["步骤 3 截图"]}
directory = reports.TRACES_PATH / session_id
directory.mkdir(parents=True)
outcome_file = directory / "run_outcome.json"
original = json.dumps({"task_status": "completed", "test_result": ai}, ensure_ascii=False)
outcome_file.write_text(original, encoding="utf-8")
archive = reports.export_batch(batch["id"])
isolated.put("batch", batch["id"], {**batch, "report_ready": True})
response = client.put(
f"/api/automation/reports/{session_id}/review",
json={"status": "passed", "reason": "已人工核对,符合预期"},
)
assert response.status_code == 200
assert response.json()["status"] == "completed"
assert response.json()["verdict"] == "测试通过(人工确认)"
assert outcome_file.read_text(encoding="utf-8") == original
assert not archive.exists()
assert not isolated.get("batch", batch["id"])["report_ready"]
assert len(isolated.get("case_review", session_id)["reviews"]) == 1
for result in (
response.json(),
client.get("/api/automation/history", params={"q": session_id}).json()["items"][0],
client.get(f"/api/automation/batches/{batch['id']}").json()["jobs"][0],
):
assert result["test_result"]["source"] == "human"
assert result["test_result"]["status"] == "passed"
assert result["test_result"]["ai_result"] == {**ai, "source": "ai"}
assert result["test_result"]["reviewed_at"] > 0
monkeypatch.setattr(sessions_api, "store", isolated)
monkeypatch.setattr(sessions_api, "TRACES_PATH", reports.TRACES_PATH)
monkeypatch.setattr(
sessions_api.session_repo,
"get_session_by_id",
lambda sid: {"session_id": sid, "status": "completed"},
)
client.app.include_router(sessions_api.router)
detail = client.get(f"/api/sessions/{session_id}").json()
assert detail["test_result"]["source"] == "human"
assert detail["batch_id"] == batch["id"]
downloaded = client.get(f"/api/automation/batches/{batch['id']}/archive")
assert downloaded.status_code == 200
with zipfile.ZipFile(BytesIO(downloaded.content)) as bundle:
wb = load_workbook(BytesIO(bundle.read("批次结果.xlsx")))
assert wb.active["D2"].value == "测试通过(人工确认)"
assert "AI确认" in wb.active["D3"].value
doc = Document(BytesIO(bundle.read("批次汇总.docx")))
assert doc.tables[0].rows[1].cells[3].text == "测试通过(人工确认)"
changed = client.put(f"/api/automation/reports/{session_id}/review", json={"status": "failed"})
assert changed.status_code == 200
assert changed.json()["verdict"] == "测试不通过(人工确认)"
assert len(isolated.get("case_review", session_id)["reviews"]) == 2
assert outcome_file.read_text(encoding="utf-8") == original
def test_review_rejects_active_missing_invalid_and_packing_tasks(client, isolated, monkeypatch):
job = isolated.jobs(service.create_batch(payload())["id"])[0]
url = f"/api/automation/reports/{job['session_id']}/review"
assert client.put(url, json={"status": "passed"}).status_code == 409
assert isolated.get("case_review", job["session_id"]) is None
assert client.put(url, json={"status": "inconclusive"}).status_code == 422
assert client.put(url, json={"status": "passed", "source": "human"}).status_code == 422
assert client.put(url, json={"status": "passed", "reason": "字" * 2001}).status_code == 422
assert (
client.put("/api/automation/reports/missing/review", json={"status": "passed"}).status_code
== 404
)
isolated.save_job({**job, "status": "completed"})
monkeypatch.setattr(api.archive_service, "status", lambda *args: {"status": "preparing"})
assert client.put(url, json={"status": "passed"}).status_code == 409
assert isolated.get("case_review", job["session_id"]) is None
def test_batch_filter_searches_full_history_and_reviews_are_removed_with_batch(client, isolated):
first, second = [service.create_batch(payload(name=name)) for name in ("第一批", "第二批")]
for batch in (first, second):
for job in isolated.jobs(batch["id"]):
isolated.save_job({**job, "status": "completed"})
with isolated.connection() as conn:
conn.execute(
"INSERT INTO sessions(session_id,initial_goal,start_time,status) VALUES (?,?,?,?)",
("single-case", "单独检查", time.time(), "completed"),
)
conn.commit()
filtered = client.get(
"/api/automation/history",
params={"batch_id": first["id"], "q": "用例", "size": 1, "page": 2},
).json()
assert filtered["total"] == 2
assert len(filtered["items"]) == 1
assert filtered["items"][0]["batch_id"] == first["id"]
assert (
client.get("/api/automation/history", params={"batch_id": "__batch__"}).json()["total"] == 4
)
singles = client.get("/api/automation/history", params={"batch_id": "__single__"}).json()
assert [item["session_id"] for item in singles["items"]] == ["single-case"]
assert client.get("/api/automation/history", params={"batch_id": "bad/path"}).status_code == 400
reviewed_id = isolated.jobs(first["id"])[0]["session_id"]
isolated.save_case_review(reviewed_id, "passed", "人工核对")
isolated.begin_delete_batch(first["id"])
isolated.delete_batch(first["id"])
assert isolated.get("case_review", reviewed_id) is None
assert len(isolated.jobs(second["id"])) == 2
isolated.save_case_review("single-case", "failed", "不符合预期")
isolated.delete_history("single-case")
assert isolated.get("case_review", "single-case") is None
def test_task_material_zip_contains_ordered_evidence_and_reports(
client, isolated, tmp_path, monkeypatch
):