f5dc0f8076
统一发布入口在有效行数为 0 时不再写成 published，也不推进正式批次指针。 Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: multica-agent <github@multica.ai>
290 lines
12 KiB
Python
290 lines
12 KiB
Python
from __future__ import annotations
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import tempfile
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import unittest
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from datetime import datetime, timedelta
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from pathlib import Path
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from datahub.adapters.tushare import TushareAdapter
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from datahub.crypto import SecretVault
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from datahub.db import HubDB
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from datahub.pipeline import EMPTY_BATCH_ERROR, Pipeline, QualityError
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from datahub.serving import ApiError, V1API
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from datahub.settings import Settings
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from datahub.timeutil import SHANGHAI, isoformat
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from tests.fixtures import TRADE_DATE, fake_transport
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DATASET_API = {
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"daily": "daily",
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"valuation": "daily_basic",
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"moneyflow": "moneyflow",
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"auction": "stk_auction",
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"index_daily": "index_daily",
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}
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def empty_transport_for(*datasets: str):
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blocked = {DATASET_API[name] for name in datasets}
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if "daily" in datasets:
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blocked.add("adj_factor")
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def transport(api_name, params, fields):
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if api_name in blocked:
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return []
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return fake_transport(api_name, params, fields)
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return transport
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def make_pipeline(before_commit=None, clock=None, quality=None) -> tuple[Pipeline, HubDB]:
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tmp = tempfile.TemporaryDirectory()
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db = HubDB(Path(tmp.name) / "hub.db")
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adapter = TushareAdapter("test-token", transport=fake_transport)
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quality_cfg = {
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"daily_row_ratio": 0.98,
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"null_rate_max": 0.01,
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"max_publish_attempts": 3,
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"publication_generations": 3,
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"job_run_retain_days": 90,
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"staging_retain_days": 14,
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}
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if quality:
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quality_cfg.update(quality)
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settings = Settings(
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encryption_key=SecretVault.generate_key(),
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api_token="t" * 32,
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admin_password="admin-pass",
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tushare_token="test-token",
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db_path=db.path,
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quality=quality_cfg,
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scheduler_enabled=False,
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)
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pipe = Pipeline(db, adapter, settings, before_commit=before_commit, clock=clock)
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pipe._tmp = tmp # keep alive
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return pipe, db
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class PipelineTests(unittest.TestCase):
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def test_reference_and_daily_publish(self) -> None:
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pipe, db = make_pipeline()
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ref = pipe.ingest_reference(TRADE_DATE)
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self.assertEqual(ref["stocks"], 2)
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result = pipe.run_dataset("daily", TRADE_DATE)
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self.assertEqual(result["state"], "published")
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self.assertEqual(result["rows"], 2)
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pub = db.fetchone("SELECT * FROM publications WHERE dataset='daily' AND trade_date=?", (TRADE_DATE,))
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self.assertEqual(pub["active_batch"], result["batch_id"])
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rows = db.fetchall("SELECT * FROM eod_bars WHERE batch_id=?", (result["batch_id"],))
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self.assertEqual(len(rows), 2)
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self.assertEqual(rows[0]["amount"] if rows[0]["ts_code"] == "600000.SH" else rows[1]["amount"], 2_000_000.0)
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def test_atomic_publish_abort_leaves_no_half_batch(self) -> None:
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pipe, db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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first = pipe.run_dataset("daily", TRADE_DATE)
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boom = {"n": 0}
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def explode() -> None:
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boom["n"] += 1
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raise RuntimeError("killed")
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pipe.before_commit = explode
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with self.assertRaises(RuntimeError):
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pipe.run_dataset("daily", TRADE_DATE)
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pub = db.fetchone("SELECT * FROM publications WHERE dataset='daily' AND trade_date=?", (TRADE_DATE,))
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self.assertEqual(pub["active_batch"], first["batch_id"])
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visible = db.fetchall(
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"SELECT DISTINCT batch_id FROM eod_bars WHERE trade_date=? AND batch_id=?",
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(TRADE_DATE, pub["active_batch"]),
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)
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self.assertEqual(len(visible), 1)
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def test_rollback_switches_active_batch(self) -> None:
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pipe, _db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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first = pipe.run_dataset("daily", TRADE_DATE)
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second = pipe.run_dataset("daily", TRADE_DATE)
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self.assertNotEqual(first["batch_id"], second["batch_id"])
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rolled = pipe.rollback("daily", TRADE_DATE, actor="test")
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self.assertEqual(rolled["active_batch"], first["batch_id"])
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from datahub.serving import V1API
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api = V1API(pipe.db, pipe, pipe.settings)
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payload = api.handle("/v1/bars/daily", {"date": [TRADE_DATE], "code": ["600000.SH"]})
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self.assertEqual(payload["meta"]["batch_id"], first["batch_id"])
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def test_row_ratio_gate_rejects_short_batch(self) -> None:
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pipe, _db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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original = fake_transport
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def short(api_name, params, fields):
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rows = original(api_name, params, fields)
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if api_name == "daily":
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return rows[:1]
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return rows
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pipe.adapter._transport = short
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with self.assertRaises(QualityError) as ctx:
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pipe.run_dataset("daily", TRADE_DATE)
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self.assertTrue(ctx.exception.report["hard_fail"])
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pub = pipe.db.fetchone("SELECT * FROM publications WHERE dataset='daily'")
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self.assertIsNone(pub)
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def test_wal_mode(self) -> None:
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pipe, db = make_pipeline()
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with db.connect() as connection:
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mode = connection.execute("PRAGMA journal_mode").fetchone()[0]
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self.assertEqual(str(mode).lower(), "wal")
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def test_cleanup_iso_timestamps_respect_retention_on_job_and_src(self) -> None:
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# job_runs.started_at / src_calls.created_at 存 ISO；旧实现用 YYYYMMDD 比较会误删同年记录。
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frozen = datetime(2026, 9, 2, 0, 30, tzinfo=SHANGHAI)
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retain_days = 90
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pipe, db = make_pipeline(clock=lambda: frozen, quality={"job_run_retain_days": retain_days})
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samples = {
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"today": isoformat(frozen),
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"within": isoformat(frozen - timedelta(days=retain_days - 1)),
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"expired": isoformat(frozen - timedelta(days=retain_days + 1)),
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}
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with db.write() as connection:
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for job_id, stamp in samples.items():
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connection.execute(
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"INSERT INTO job_runs(job_id, state, started_at, attempt) VALUES (?,?,?,1)",
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(job_id, "ok", stamp),
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)
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connection.execute(
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"INSERT INTO src_calls(provider, endpoint, ok, latency_ms, error, created_at) VALUES (?,?,?,?,?,?)",
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("tushare", job_id, 1, 10, None, stamp),
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)
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pipe.cleanup()
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jobs = {row["job_id"] for row in db.fetchall("SELECT job_id FROM job_runs")}
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calls = {row["endpoint"] for row in db.fetchall("SELECT endpoint FROM src_calls")}
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kept = {"today", "within"}
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self.assertEqual(jobs, kept)
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self.assertEqual(calls, kept)
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def test_empty_index_daily_keeps_previous_official_readable(self) -> None:
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pipe, db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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first = pipe.run_dataset("index_daily", TRADE_DATE)
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self.assertEqual(first["state"], "published")
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self.assertGreater(first["rows"], 0)
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pipe.adapter._transport = empty_transport_for("index_daily")
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with self.assertRaises(QualityError) as ctx:
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pipe.run_dataset("index_daily", TRADE_DATE)
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self.assertIn(EMPTY_BATCH_ERROR, ctx.exception.report["errors"])
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pub = db.fetchone(
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"SELECT * FROM publications WHERE dataset='index_daily' AND trade_date=?",
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(TRADE_DATE,),
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)
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self.assertEqual(pub["active_batch"], first["batch_id"])
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self.assertEqual(pub["state"], "published")
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empty_batch = db.fetchone(
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"SELECT * FROM batches WHERE batch_id=?",
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(f"{TRADE_DATE}-index_daily-002",),
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)
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self.assertIsNotNone(empty_batch)
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self.assertEqual(empty_batch["state"], "staged")
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self.assertEqual(empty_batch["rows_out"], 0)
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self.assertNotEqual(empty_batch["state"], "failed")
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self.assertIn(EMPTY_BATCH_ERROR, empty_batch["error"] or "")
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api = V1API(pipe.db, pipe, pipe.settings)
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payload = api.handle("/v1/indexes/bars", {"date": [TRADE_DATE], "code": ["000001.SH"]})
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self.assertEqual(payload["meta"]["batch_id"], first["batch_id"])
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self.assertEqual(payload["meta"]["tier"], "official")
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self.assertEqual(payload["meta"]["state"], "published")
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self.assertTrue(payload["data"])
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def test_empty_index_daily_first_batch_is_not_official(self) -> None:
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empty_date = "20260902"
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pipe, db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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pipe.adapter._transport = empty_transport_for("index_daily")
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with self.assertRaises(QualityError) as ctx:
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pipe.run_dataset("index_daily", empty_date)
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self.assertIn(EMPTY_BATCH_ERROR, ctx.exception.report["errors"])
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batch = db.fetchone("SELECT * FROM batches WHERE batch_id=?", (f"{empty_date}-index_daily-001",))
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self.assertEqual(batch["state"], "staged")
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self.assertEqual(batch["rows_out"], 0)
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self.assertIsNone(
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db.fetchone(
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"SELECT * FROM publications WHERE dataset='index_daily' AND trade_date=?",
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(empty_date,),
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)
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)
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api = V1API(pipe.db, pipe, pipe.settings)
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with self.assertRaises(ApiError) as api_ctx:
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api.handle("/v1/indexes/bars", {"date": [empty_date], "code": ["000001.SH"]})
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self.assertEqual(api_ctx.exception.code, "DATASET_NOT_PUBLISHED")
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def test_nonempty_index_daily_still_publishes(self) -> None:
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pipe, db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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result = pipe.run_dataset("index_daily", TRADE_DATE)
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self.assertEqual(result["state"], "published")
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self.assertEqual(result["rows"], 4)
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pub = db.fetchone(
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"SELECT * FROM publications WHERE dataset='index_daily' AND trade_date=?",
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(TRADE_DATE,),
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)
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self.assertEqual(pub["active_batch"], result["batch_id"])
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rows = db.fetchall("SELECT * FROM eod_index_bars WHERE batch_id=?", (result["batch_id"],))
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self.assertEqual(len(rows), 4)
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def test_empty_batch_guard_covers_all_official_datasets(self) -> None:
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for dataset in ("daily", "valuation", "moneyflow", "auction", "index_daily"):
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with self.subTest(dataset=dataset):
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pipe, db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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first = pipe.run_dataset(dataset, TRADE_DATE)
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pipe.adapter._transport = empty_transport_for(dataset)
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with self.assertRaises(QualityError) as ctx:
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pipe.run_dataset(dataset, TRADE_DATE)
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self.assertTrue(ctx.exception.report["hard_fail"])
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self.assertIn(EMPTY_BATCH_ERROR, ctx.exception.report["errors"])
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pub = db.fetchone(
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"SELECT * FROM publications WHERE dataset=? AND trade_date=?",
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(dataset, TRADE_DATE),
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)
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self.assertEqual(pub["active_batch"], first["batch_id"])
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self.assertEqual(pub["state"], "published")
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empty_batch = db.fetchone(
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"SELECT * FROM batches WHERE dataset=? AND trade_date=? AND batch_id != ?",
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(dataset, TRADE_DATE, first["batch_id"]),
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)
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self.assertEqual(empty_batch["state"], "staged")
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self.assertEqual(empty_batch["rows_out"], 0)
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def test_publish_entry_rejects_empty_staging_without_moving_pointer(self) -> None:
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pipe, db = make_pipeline()
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pipe.ingest_reference(TRADE_DATE)
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first = pipe.run_dataset("moneyflow", TRADE_DATE)
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batch_id = pipe.next_batch_id("moneyflow", TRADE_DATE)
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pipe._set_batch(batch_id, "moneyflow", TRADE_DATE, "publishing", 1, rows_in=0, rows_out=0)
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pipe._stage("moneyflow", batch_id, [])
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with self.assertRaises(QualityError) as ctx:
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pipe.publish("moneyflow", TRADE_DATE, batch_id, state="published")
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self.assertIn(EMPTY_BATCH_ERROR, ctx.exception.report["errors"])
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pub = db.fetchone(
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"SELECT * FROM publications WHERE dataset='moneyflow' AND trade_date=?",
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(TRADE_DATE,),
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)
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self.assertEqual(pub["active_batch"], first["batch_id"])
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self.assertEqual(pub["state"], "published")
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history = db.fetchall(
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"SELECT batch_id FROM publication_history WHERE dataset='moneyflow' AND trade_date=?",
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(TRADE_DATE,),
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)
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self.assertEqual({row["batch_id"] for row in history}, {first["batch_id"]})
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if __name__ == "__main__":
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unittest.main()
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