mirror of
https://github.com/ZhuLinsen/daily_stock_analysis
synced 2026-09-20 10:53:33 +08:00
647b9d24e5
* fix: support Longbridge OAuth token cache * fix(review-feedback-1490): bump the runtime dependency minimum or fail with a clear upgrade * fix(review-feedback-1490): 补充对应回归测试 * fix(review-feedback-1490): Point OAuth cache at the dsa home in Docker * fix(review-feedback-1490): 修复或给出明确的 CI 重跑通过证据 * fix(review-feedback-1490): 处理 Docker/Actions 持久化 token cache 已损坏时无法被新的 LONGBRIDGE OAUTH TOKEN * fix: tighten Longbridge OAuth compatibility * fix: refresh stale Longbridge OAuth cache * fix: guard Longbridge OAuth SDK availability
27 lines
811 B
Python
27 lines
811 B
Python
# -*- coding: utf-8 -*-
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"""Regression tests for YfinanceFetcher daily data normalization."""
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import pandas as pd
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from data_provider.yfinance_fetcher import YfinanceFetcher
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def test_normalize_daily_data_recovers_unnamed_datetime_index_date_column() -> None:
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fetcher = YfinanceFetcher()
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raw = pd.DataFrame(
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{
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"Open": [10.0, 10.5],
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"High": [11.0, 11.2],
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"Low": [9.8, 10.1],
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"Close": [10.8, 11.0],
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"Volume": [1000, 1200],
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},
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index=pd.DatetimeIndex(["2026-05-25", "2026-05-26"]),
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)
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normalized = fetcher._normalize_data(raw, "DRAM")
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cleaned = fetcher._clean_data(normalized)
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assert "date" in normalized.columns
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assert cleaned["date"].dt.strftime("%Y-%m-%d").tolist() == ["2026-05-25", "2026-05-26"]
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