"""Tests for tolerating a non-`Date` index column in stockstats_utils (#890). Guards against a download frame whose date column is `index` or `Datetime` instead of `Date`, which would otherwise silently drop every indicator. """ from __future__ import annotations import pandas as pd import pytest from tradingagents.dataflows import stockstats_utils as su def _ohlcv(date_col: str) -> pd.DataFrame: """OHLCV frame whose date column is named `date_col`.""" dates = pd.bdate_range("2026-04-01", periods=10) return pd.DataFrame({ date_col: dates, "Open": [100.0 + i for i in range(10)], "High": [101.0 + i for i in range(10)], "Low": [99.0 + i for i in range(10)], "Close": [100.5 + i for i in range(10)], "Volume": [1_000_000 + i for i in range(10)], }) @pytest.mark.unit class TestEnsureDateColumn: def test_renames_index_column(self): out = su._ensure_date_column(_ohlcv("index")) assert "Date" in out.columns and "index" not in out.columns def test_renames_datetime_and_date_variants(self): assert "Date" in su._ensure_date_column(_ohlcv("Datetime")).columns assert "Date" in su._ensure_date_column(_ohlcv("date")).columns def test_leaves_existing_date_untouched(self): df = _ohlcv("Date") assert su._ensure_date_column(df) is df # no-op short-circuit def test_no_datelike_column_is_left_alone(self): df = pd.DataFrame({"Close": [1, 2, 3]}) out = su._ensure_date_column(df) assert "Date" not in out.columns # nothing to rename; caller handles @pytest.mark.unit class TestCleanDataframeAcrossVersions: def test_clean_handles_index_column(self): """A frame with `index` instead of `Date` must still clean to a usable, date-parsed frame (was KeyError: 'Date').""" cleaned = su._clean_dataframe(_ohlcv("index")) assert "Date" in cleaned.columns assert pd.api.types.is_datetime64_any_dtype(cleaned["Date"]) assert len(cleaned) == 10 def test_clean_handles_legacy_date_column(self): cleaned = su._clean_dataframe(_ohlcv("Date")) assert len(cleaned) == 10 def test_indicators_compute_after_index_rename(self): """stockstats must compute indicators on a frame whose date column arrived as `index`, instead of erroring per indicator.""" from stockstats import wrap cleaned = su._clean_dataframe(_ohlcv("index")) df = wrap(cleaned) df["close_5_sma"] # triggers calculation assert "close_5_sma" in df.columns assert df["close_5_sma"].notna().any()