施工员andmultica-agent
3eaa36a8d5
主站 - 新增 m0006 invite_codes 迁移；注册强制邀请码（首个管理员除外），消码与建号 同一事务，并发提交只有一个能成功 - 新增 /api/hub-admin/* 服务端点（共享 HUB_ADMIN_TOKEN，先于鉴权校验），供数据 中枢桥接读写会话/密码/模型池/会员/邀请码，并提供供应商模型列表拉取 - 前端：注册表单加邀请码（桌面 login、index.html、移动端）；「系统管理」改为 「数据中枢」入口指向 8766，原模型池与会员管理分区移除，仅留「行情管理」； 随之清理陈旧 CSS 数据中枢 - 取消独立账号：删除 hub_admin/hub_sessions 与登录、改密、锁定逻辑，改为校验 主站 xiaobai_session，仅管理员可进，CSRF 由会话派生，危险操作二次确认走主站 - 控制台新增数据源凭证可编辑区（原有内容一项不删）、供应商制模型池（自动拉取 /models，失败退回卡内手动录入）、会员管理与邀请码页 - 日夜双主题：颜色收敛为同名 token 换值，SVG 改用 inline style 以吃到变量 自测 - 主站 verify_baseline 通过（498 项）；数据中枢 235 项通过 - tools/verify_datahub_console.py 端到端跑通两服务真实对话； tools/verify_datahub_console_ui.py 浏览器跑通门禁/凭证/模型池/会员/主题/1030 窄屏 Co-authored-by: multica-agent <github@multica.ai>
262 lines
11 KiB
Python
262 lines
11 KiB
Python
from __future__ import annotations
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import unittest
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from pathlib import Path
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import tempfile
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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 Pipeline, QualityError
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from datahub.scheduler import Scheduler
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from datahub.settings import Settings
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from tests.fixtures import TRADE_DATE, fake_transport
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from tests.test_eod_retry import clock_at
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FIELD_GATES = {
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"valuation": {
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"fields": [
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"turnover_rate", "volume_ratio", "total_mv", "circ_mv",
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"pe_ttm", "pb", "ps_ttm", "dv_ttm",
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],
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"min_nonnull_rate": 0.9,
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"min_nonnull_rate_by_field": {"pe_ttm": 0.5, "dv_ttm": 0.3},
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"max_nonnull_drop_vs_prev": 0.15,
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"max_nonfinite_rate": 0.01,
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},
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}
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class ValuationTransport:
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"""fake_transport with switchable daily_basic degradation modes."""
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def __init__(self) -> None:
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self.mode = "ok"
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def __call__(self, api_name: str, params: dict, fields: str):
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rows = fake_transport(api_name, params, fields)
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if api_name != "daily_basic":
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return rows
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trade_date = str(params.get("trade_date") or "")
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if trade_date:
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rows = [{**row, "trade_date": trade_date} for row in rows]
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if self.mode == "ok":
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return rows
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patched = []
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for row in rows:
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item = dict(row)
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if self.mode == "fields_all_null":
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item["volume_ratio"] = None
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item["dv_ttm"] = None
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elif self.mode == "vr_all_null":
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item["volume_ratio"] = None
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elif self.mode == "dv_all_null":
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item["dv_ttm"] = None
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elif self.mode == "nonfinite":
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item["volume_ratio"] = float("inf")
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patched.append(item)
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return patched
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def make_pipe(transport, quality_extra=None, clock=None):
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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=transport)
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quality = {
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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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"field_gates": FIELD_GATES,
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}
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if quality_extra:
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quality.update(quality_extra)
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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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tushare_token="test-token",
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db_path=db.path,
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quality=quality,
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scheduler_enabled=False,
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)
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pipe = Pipeline(db, adapter, settings, clock=clock)
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pipe._tmp = tmp
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return pipe, db
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class ValuationFieldGateTests(unittest.TestCase):
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def setUp(self) -> None:
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self.transport = ValuationTransport()
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self.pipe, self.db = make_pipe(self.transport)
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self.pipe.ingest_reference(TRADE_DATE)
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def _active(self) -> str | None:
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row = self.db.fetchone(
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"SELECT active_batch FROM publications WHERE dataset='valuation' AND trade_date=?",
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(TRADE_DATE,),
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)
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return str(row["active_batch"]) if row else None
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def test_normal_batch_with_legit_dv_nulls_passes(self) -> None:
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result = self.pipe.run_dataset("valuation", TRADE_DATE)
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self.assertEqual(result["state"], "published")
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fields = result["quality"]["fields"]
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# fixture: 1 of 2 stocks has null dv_ttm → 0.5 non-null ≥ 0.3 floor
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self.assertEqual(fields["dv_ttm"]["nonnull_rate"], 0.5)
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self.assertEqual(fields["volume_ratio"]["nonnull_rate"], 1.0)
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self.assertFalse(result["quality"]["errors"])
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def test_all_null_fields_rejected_and_prev_batch_kept(self) -> None:
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first = self.pipe.run_dataset("valuation", TRADE_DATE)
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self.transport.mode = "fields_all_null"
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with self.assertRaises(QualityError) as ctx:
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self.pipe.run_dataset("valuation", TRADE_DATE)
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errors = "; ".join(ctx.exception.report["errors"])
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self.assertIn("field gate: valuation.volume_ratio non-null rate 0.0000 < 0.9", errors)
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self.assertIn("field gate: valuation.dv_ttm non-null rate 0.0000 < 0.3", errors)
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# previous good publication stays active
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self.assertEqual(self._active(), first["batch_id"])
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# rejected batch left staged with readable error + field stats
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rejected = self.db.fetchone(
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"SELECT * FROM batches WHERE state='staged' AND dataset='valuation' ORDER BY started_at DESC",
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)
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self.assertIsNotNone(rejected)
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self.assertIn("field gate: valuation.volume_ratio", str(rejected["error"]))
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import json
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quality = json.loads(rejected["quality_json"])
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self.assertEqual(quality["fields"]["volume_ratio"]["nonnull"], 0)
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self.assertEqual(quality["fields"]["dv_ttm"]["nonnull"], 0)
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def test_volume_ratio_all_null_alone_rejected(self) -> None:
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self.pipe.run_dataset("valuation", TRADE_DATE)
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self.transport.mode = "vr_all_null"
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with self.assertRaises(QualityError):
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self.pipe.run_dataset("valuation", TRADE_DATE)
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self.assertEqual(
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self.db.fetchone(
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"SELECT active_batch FROM publications WHERE dataset='valuation' AND trade_date=?",
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(TRADE_DATE,),
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)["active_batch"],
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"20240902-valuation-001",
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)
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def test_dv_ttm_all_null_rejected_by_floor_and_collapse(self) -> None:
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prev_day = "20240830"
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prev = self.pipe.run_dataset("valuation", prev_day) # prev dv nonnull 0.5
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self.transport.mode = "dv_all_null"
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with self.assertRaises(QualityError) as ctx:
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self.pipe.run_dataset("valuation", TRADE_DATE)
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errors = "; ".join(ctx.exception.report["errors"])
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self.assertIn("field gate: valuation.dv_ttm non-null rate 0.0000 < 0.3", errors)
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self.assertIn(f"dropped > 0.15 vs prev batch {prev['batch_id']}", errors)
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def test_nonfinite_values_rejected(self) -> None:
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self.pipe.run_dataset("valuation", TRADE_DATE)
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rows = self.pipe.adapter.normalize(
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"valuation", self.pipe._guarded_fetch("valuation", {"trade_date": TRADE_DATE})
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)
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for row in rows:
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row["volume_ratio"] = float("inf")
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with self.assertRaises(QualityError) as ctx:
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self.pipe.run_dataset("valuation", TRADE_DATE, prepared_rows=rows)
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errors = "; ".join(ctx.exception.report["errors"])
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self.assertIn("field gate: valuation.volume_ratio non-finite rate 1.0000 > 0.01", errors)
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def test_gate_off_when_not_configured(self) -> None:
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pipe, _db = make_pipe(ValuationTransport(), quality_extra={"field_gates": {}})
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pipe.ingest_reference(TRADE_DATE)
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pipe.adapter._transport.mode = "fields_all_null"
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result = pipe.run_dataset("valuation", TRADE_DATE)
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self.assertEqual(result["state"], "published") # legacy behavior when unconfigured
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def test_gate_applies_to_any_configured_dataset(self) -> None:
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gates = {"daily": {"fields": ["volume"], "min_nonnull_rate": 0.9, "max_nonfinite_rate": 0.01}}
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pipe, _db = make_pipe(ValuationTransport(), quality_extra={"field_gates": gates})
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pipe.ingest_reference(TRADE_DATE)
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def null_volume(api_name, params, fields):
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if api_name != "daily":
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return fake_transport(api_name, params, fields)
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rows = fake_transport(api_name, params, fields)
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for row in rows:
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row["vol"] = None
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return rows
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pipe.adapter._transport = null_volume
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with self.assertRaises(QualityError) as ctx:
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pipe.run_dataset("daily", TRADE_DATE)
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errors = "; ".join(ctx.exception.report["errors"])
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self.assertIn("field gate: daily.volume non-null rate 0.0000 < 0.9", errors)
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class GateRetryInterplayTests(unittest.TestCase):
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def test_rejected_valuation_stays_missing_and_retry_publishes_later(self) -> None:
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transport = ValuationTransport()
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transport.mode = "fields_all_null"
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tmp = tempfile.TemporaryDirectory()
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self.addCleanup(tmp.cleanup)
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db = HubDB(Path(tmp.name) / "hub.db")
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adapter = TushareAdapter("x", transport=transport)
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settings = Settings(
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encryption_key=SecretVault.generate_key(),
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db_path=db.path,
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backup_dir=Path(tmp.name) / "backups",
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quality={"field_gates": FIELD_GATES, "max_publish_attempts": 2},
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)
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pipe = Pipeline(db, adapter, settings)
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pipe.ingest_reference("20240902")
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sched = Scheduler(db, pipe)
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sched.tick(clock_at("20240902", 15, 5)) # valuation rejected by field gate
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sched.tick(clock_at("20240902", 15, 10))
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self.assertIn("valuation", pipe.missing_official_datasets("20240902"))
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self.assertEqual(
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pipe.active_batch("valuation", "20240902"),
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None,
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)
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transport.mode = "ok"
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sched.tick(clock_at("20240902", 15, 45)) # retry passes the gate
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self.assertNotIn("valuation", pipe.missing_official_datasets("20240902"))
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rows = db.fetchall("SELECT * FROM eod_valuation WHERE trade_date='20240902'")
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self.assertTrue(rows)
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self.assertTrue(all(row["volume_ratio"] is not None for row in rows))
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class ForceRepublishTests(unittest.TestCase):
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def test_force_boundary_republish_keeps_prev_for_rollback(self) -> None:
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transport = ValuationTransport()
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pipe, db = make_pipe(transport)
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pipe.ingest_reference(TRADE_DATE)
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first = pipe.run_eod_batch_a(TRADE_DATE)
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first_val = first["valuation"]["batch_id"]
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first_daily = first["daily"]["batch_id"]
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transport.mode = "vr_all_null"
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blocked = pipe.force_republish_boundary("valuation", TRADE_DATE)
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self.assertEqual(blocked["valuation"]["state"], "failed")
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self.assertEqual(pipe.active_batch("valuation", TRADE_DATE), first_val)
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self.assertEqual(pipe.active_batch("daily", TRADE_DATE), first_daily)
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transport.mode = "ok"
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second = pipe.force_republish_boundary("valuation", TRADE_DATE)
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self.assertEqual(second["valuation"]["state"], "published")
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self.assertNotEqual(second["valuation"]["batch_id"], first_val)
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self.assertNotEqual(second["daily"]["batch_id"], first_daily)
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pubs = db.fetchall(
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"SELECT dataset, active_batch, prev_batch, published_at FROM publications WHERE trade_date=?",
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(TRADE_DATE,),
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)
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by_ds = {str(row["dataset"]): row for row in pubs}
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a_times = {by_ds[name]["published_at"] for name in ("daily", "valuation", "moneyflow", "auction", "stocks")}
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self.assertEqual(len(a_times), 1)
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self.assertEqual(by_ds["valuation"]["active_batch"], second["valuation"]["batch_id"])
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self.assertEqual(by_ds["valuation"]["prev_batch"], first_val)
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rolled = pipe.rollback("valuation", TRADE_DATE, actor="cli")
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self.assertEqual(rolled["active_batch"], first_val)
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if __name__ == "__main__":
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unittest.main()
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