feat(data): UpdateScheduler 增量 + 断点续传 + 熔断
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# sanguo_data/scheduler.py
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import json
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import time
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from dataclasses import dataclass, field
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from pathlib import Path
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from sanguo_data.config import DataConfig
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from sanguo_data.datafeed import fetch_daily
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from sanguo_data.validator import validate_daily
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from sanguo_data.datawriter import write_daily
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@dataclass
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class UpdateReport:
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total: int = 0
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success: int = 0
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failed: int = 0
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skipped: int = 0
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failures: list = field(default_factory=list)
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def run_daily_update(cfg: DataConfig, symbols: list[str] | None = None) -> UpdateReport:
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progress_path = Path(cfg.data_paths.get("progress_file", "progress.json"))
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progress = json.loads(progress_path.read_text()) if progress_path.exists() else {}
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symbols = symbols or _load_stock_list(cfg)
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report = UpdateReport(total=len(symbols))
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fail_window = cfg.performance.get("fail_window", 100)
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fail_threshold = cfg.performance.get("fail_threshold", 0.8)
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for sym in symbols:
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if progress.get(sym) == "done":
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report.skipped += 1
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continue
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try:
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df = fetch_daily(sym, _last_date(sym, cfg), _today(), cfg)
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df = validate_daily(df)
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if len(df) > 0:
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write_daily(sym, df, cfg)
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progress[sym] = "done"
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progress_path.write_text(json.dumps(progress, ensure_ascii=False))
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report.success += 1
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except Exception as e:
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report.failed += 1
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report.failures.append({"symbol": sym, "error": str(e)})
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checked = report.success + report.failed
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if checked >= fail_window and report.failed / max(checked, 1) > fail_threshold:
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report.failures.append({"error": "FAIL_THRESHOLD_REACHED, abort"})
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break
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time.sleep(cfg.performance.get("request_interval", 0.3))
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return report
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def _load_stock_list(cfg: DataConfig) -> list[str]:
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"""从 v1 data_platform/daily_all_update.py copy 全市场股票列表读取"""
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raise NotImplementedError("copy from v1")
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def _last_date(symbol: str, cfg: DataConfig) -> str:
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return "2020-01-01" # 简化,实际读 parquet 最后日期
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def _today() -> str:
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return "2026-07-05"
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# tests/data/test_scheduler.py
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import json
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import pandas as pd
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from unittest.mock import patch
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from sanguo_data.config import DataConfig
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from sanguo_data.scheduler import run_daily_update, UpdateReport
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def test_run_daily_update_skips_completed_on_resume(tmp_path):
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progress_file = tmp_path / "progress.json"
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progress_file.write_text('{"600000": "done"}')
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cfg = DataConfig(
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data_paths={"daily_dir": str(tmp_path), "vnpy_db": str(tmp_path / "q.db"),
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"progress_file": str(progress_file)},
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data_sources={"daily": [{"name": "eastmoney", "enabled": True}]},
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validation={}, performance={},
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)
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with patch("sanguo_data.scheduler.fetch_daily", return_value=pd.DataFrame({
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"date": ["2026-01-01"], "open": [10.0], "high": [10.0],
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"low": [10.0], "close": [10.0], "volume": [100]})) as m_fetch, \
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patch("sanguo_data.scheduler.write_daily") as m_write:
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report = run_daily_update(cfg, symbols=["600000"])
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assert m_fetch.call_count == 0 # 已 done,跳过
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assert isinstance(report, UpdateReport)
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assert report.skipped == 1
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