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yfinance treats end as exclusive, so get_YFin_data_online dropped the requested end_date row and load_ohlcv dropped the current day. Request one day past the end so the range is inclusive (look-ahead is still prevented by the curr_date filter; the header still shows the requested range). Also correct the load_ohlcv docstring to the 5-year window it actually downloads.
62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
"""yfinance treats ``end`` as exclusive; we must request one extra day so the
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requested end_date (and the current day) is actually included.
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Regressions for #986 (current-day OHLCV excluded) and #987 (requested end_date
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row omitted).
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"""
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import pandas as pd
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import pytest
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import tradingagents.dataflows.stockstats_utils as su
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import tradingagents.dataflows.y_finance as yfin
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from tradingagents.dataflows.config import set_config
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@pytest.mark.unit
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def test_get_yfin_requests_inclusive_end(monkeypatch):
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captured = {}
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class FakeTicker:
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def __init__(self, symbol):
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pass
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def history(self, start, end):
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captured["start"] = start
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captured["end"] = end
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idx = pd.to_datetime(["2025-05-08", "2025-05-09"])
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return pd.DataFrame(
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{"Open": [1.0, 2.0], "High": [1.0, 2.0], "Low": [1.0, 2.0],
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"Close": [1.0, 2.0], "Volume": [1, 2]},
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index=idx,
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)
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monkeypatch.setattr(yfin.yf, "Ticker", FakeTicker)
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out = yfin.get_YFin_data_online("AAPL", "2025-05-01", "2025-05-09")
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# end is requested one day past end_date so 2025-05-09 is included (#987).
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assert captured["end"] == "2025-05-10"
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# Header still reflects the requested range, not the internal +1 day.
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assert "to 2025-05-09" in out
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@pytest.mark.unit
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def test_load_ohlcv_requests_inclusive_end(monkeypatch, tmp_path):
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set_config({"data_cache_dir": str(tmp_path)})
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captured = {}
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def fake_download(symbol, start, end, **kwargs):
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captured["end"] = end
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idx = pd.to_datetime([pd.Timestamp.today().normalize()])
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return pd.DataFrame(
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{"Open": [100.0], "High": [100.0], "Low": [100.0],
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"Close": [100.0], "Volume": [1]},
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index=idx,
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)
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monkeypatch.setattr(su.yf, "download", fake_download)
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today = pd.Timestamp.today().strftime("%Y-%m-%d")
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su.load_ohlcv("AAPL", today)
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expected_end = (pd.Timestamp.today() + pd.Timedelta(days=1)).strftime("%Y-%m-%d")
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assert captured["end"] == expected_end # tomorrow -> today's row included (#986)
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