release: v0.13.2

python/tests/test_plot_charts.py

@@ -0,0 +1,96 @@
+"""Chart-level regressions found by rendering a tearsheet and looking at it.
+
+Both defects below were invisible to file size, tag presence and trace counts.
+They only showed up on screen, so they are pinned here at the figure-spec
+level, which is cheap enough to run in CI without a browser.
+"""
+import os
+
+import pytest
+
+import manifoldbt as bt
+from manifoldbt import run_with_parquet
+
+pytest.importorskip("plotly")
+
+backtest_plots = pytest.importorskip("manifoldbt.plot.backtest")
+
+
+@pytest.fixture
+def backtest_result(golden_buy_hold_dir):
+    strategy = bt.Strategy(
+        name="chart_probe",
+        signals={"signal": bt.lit(1.0)},
+        position_sizing=bt.col("signal"),
+    )
+    config = bt.BacktestConfig(
+        universe=[1],
+        time_range_start=0,
+        time_range_end=4_000_000_000,
+        bar_interval={"Days": 1},
+        initial_capital=1000.0,
+        currency="USD",
+        execution=bt.ExecutionConfig(
+            signal_delay=1,
+            execution_price="AtClose",
+            max_position_pct=1.0,
+            allow_short=False,
+            allow_fractional=True,
+            skip_gap_bars=False,
+            position_sizing_mode="Units",
+        ),
+        fees=bt.FeeConfig(),
+        slippage={"FixedBps": {"bps": 0.0}},
+        data_version="golden_v1",
+        rng_seed=7,
+    )
+    return run_with_parquet(
+        strategy.to_json(),
+        config.to_json(),
+        os.path.join(golden_buy_hold_dir, "bars_1m.parquet"),
+        "golden_v1",
+    )
+
+
+def test_monthly_returns_year_axis_is_categorical(backtest_result):
+    """Year rows are labels, not a number line.
+
+    The labels are strings already, but with no explicit axis type plotly
+    infers a linear scale and interpolates between them: a single-year
+    backtest rendered ticks at 2,022.6 / 2,022.8 / 2023 / 2,023.2 / 2,023.4.
+    """
+    fig = backtest_plots.monthly_returns(backtest_result)
+    assert fig.layout.yaxis.type == "category"
+
+
+def test_returns_histogram_has_no_unnamed_legend_entry(monkeypatch):
+    """No trace may reach the legend without a name.
+
+    The histogram bars carried no name, so plotly labelled them "trace 0" and
+    gave them a single colour swatch even though the bars are green or red by
+    sign. The legend is there for the Normal overlay only.
+
+    Returns are injected rather than backtested: the golden fixture spans less
+    than two UTC days, so ``daily_returns_array`` comes back empty and the
+    chart short-circuits before building any trace. Asserting over that empty
+    figure passes no matter what the code does.
+    """
+    np = pytest.importorskip("numpy")
+    rng = np.random.default_rng(7)
+    monkeypatch.setattr(
+        backtest_plots, "daily_returns_array", lambda _result: rng.normal(0, 0.01, 500)
+    )
+
+    fig = backtest_plots.returns_histogram(object())
+
+    # Guard against the vacuous version of this test.
+    assert len(fig.data) >= 2, "expected the bars plus the Normal overlay"
+
+    legend_names = {
+        trace.name for trace in fig.data if trace.showlegend is not False
+    }
+    assert legend_names, "no trace reaches the legend, the check would be vacuous"
+    assert None not in legend_names, "an unnamed trace renders as 'trace 0'"
+    assert not any(
+        (name or "").startswith("trace ") for name in legend_names
+    ), f"auto-generated trace label in the legend: {legend_names}"