feat: add fetch_latest_closed_rates_indexed and allow_whole_dollar_env opt-in (#45)
* feat: add fetch_latest_closed_rates_indexed and allow_whole_dollar_env opt-in (#43, #44) Closes #43: add fetch_latest_closed_rates_indexed(client, *, symbol, granularity, count) -> pd.DataFrame to mt5cli/trading.py. Internally reuses fetch_latest_closed_rates_for_trading_client(), converts the "time" column to a UTC-aware DatetimeIndex named "time", and drops the original column. Exported from trading.__all__, mt5cli.__init__, and STABLE_SDK_EXPORTS. Closes #44: extend substitute_env_placeholders() with opt-in allow_whole_dollar_env=False that expands whole-value $ENV_NAME strings (entire string must be exactly $IDENTIFIER). Threaded through build_config(), resolve_account_spec(), and resolve_account_specs() with the same default=False. Partial strings like "plan$pass", "abc$ENV", or "$ENV-suffix" are never expanded. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: align Markdown table columns in docs and skill file Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: treat numeric (float64) epoch seconds as UTC in _rate_time_to_utc After DataFrame concat or NA upcast the time column becomes float64, which is still epoch seconds. Using is_numeric_dtype instead of is_integer_dtype fixes the silent misalignment. Using series.to_numpy() before passing to pd.to_datetime avoids the redundant pd.DatetimeIndex() wrapper and aligns with how existing rate-time normalization in schemas.py handles numeric timestamps. Add test_converts_float_epoch_seconds_to_utc_datetime_index to cover the regression. Add a doc note clarifying that build_config cannot expand login since that parameter is int | None. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: reject NaT values after rate timestamp conversion in _rate_time_to_utc pd.to_datetime() silently produces NaT for None/NaN inputs rather than raising, so the function could return a DatetimeIndex containing NaT despite documenting invalid timestamps as a ValueError. Check any(idx.isna()) after conversion and raise with a clear message. Add test_raises_on_nat_time_column to cover the regression. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Bump version to v0.9.0 * fix: handle object numeric rate timestamps --------- Co-authored-by: Claude <noreply@anthropic.com>
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@@ -44,6 +44,7 @@ from mt5cli import (
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export_dataframe_to_sqlite,
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fetch_latest_closed_rates,
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fetch_latest_closed_rates_for_trading_client,
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fetch_latest_closed_rates_indexed,
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granularity_name,
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is_recoverable_mt5_error,
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load_rate_data,
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@@ -734,3 +735,32 @@ class TestStableSdkContract:
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raise RuntimeError(message)
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mock_client.shutdown.assert_called_once()
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def test_fetch_latest_closed_rates_indexed_from_package_root(
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self,
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mocker: MockerFixture,
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) -> None:
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"""Indexed closed-bar helper returns a UTC DatetimeIndex named 'time'."""
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client = MagicMock()
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mocker.patch(
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"mt5cli.trading.fetch_latest_closed_rates_for_trading_client",
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return_value=pd.DataFrame(
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{
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"time": [1704067200, 1704153600, 1704240000],
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"close": [1.0, 1.1, 1.2],
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},
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),
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)
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result = fetch_latest_closed_rates_indexed(
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client,
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symbol="EURUSD",
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granularity="M1",
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count=2,
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)
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assert isinstance(result.index, pd.DatetimeIndex)
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assert result.index.name == "time"
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assert result.index.tz is not None
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assert "time" not in result.columns
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assert "close" in result.columns
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