Release Fenris 0.5.0 with Chalktone dashboard and dotted activity plots

tests/test_activity_plot.py

@@ -0,0 +1,52 @@
+"""Visible geometry and evidence boundaries of the terminal volume plot."""
+from fenris.activity_plot import VolumePoint, volume_plot
+from fenris.themes import get_graph_colors
+
+
+def plot(points, selected=-1, width=48, height=10):
+    return volume_plot(points, width, height, selected, get_graph_colors("chalktone"))
+
+
+def test_trace_fits_viewport_and_uses_time_not_sample_index():
+    points = [VolumePoint(t, v, str(t)) for t, v in ((0, 0), (3, 50), (30, 100))]
+    text, columns, unit = plot(points)
+    assert unit == "B"
+    assert len(text.plain.splitlines()) == 10
+    assert all(len(line) <= 48 for line in text.plain.splitlines())
+    assert columns[1] - columns[0] < (columns[2] - columns[0]) / 5
+    assert any(0x2801 <= ord(c) <= 0x28ff for c in text.plain)
+    assert not any(c in text.plain for c in "█▒░")
+    assert "100.00" in text.plain and "0.00" in text.plain
+
+
+def test_gap_breaks_trace_while_measured_zero_stays_on_axis():
+    text, columns, _ = plot([
+        VolumePoint(0, 0, "00:00"), VolumePoint(1, None, "00:03", "gap"),
+        VolumePoint(2, 100, "00:06"),
+    ])
+    rows = text.plain.splitlines()
+    assert "?" in rows[-2]
+    # No invented intermediate dots on either side of the missing measurement.
+    for row in rows[:-2]:
+        assert all(c == " " for c in row[columns[0] + 1:columns[-1]])
+    assert 0x2801 <= ord(rows[-3][columns[0]]) <= 0x28ff
+
+
+def test_partial_and_unallocated_totals_are_isolated_and_labelled():
+    text, columns, unit = plot([
+        VolumePoint(0, 1_000_000, "01", "partial"),
+        VolumePoint(1, 2_000_000, "02", "unallocated"),
+        VolumePoint(2, 3_000_000, "03"),
+    ])
+    assert unit == "MB"
+    assert "~" in text.plain and "u" in text.plain
+    for row in text.plain.splitlines()[:-2]:
+        assert all(c == " " for c in row[columns[0] + 1:columns[1]])
+
+
+def test_many_intervals_and_selection_fit_small_plot_without_losing_points():
+    points = [VolumePoint(i, i % 9 * 1_000_000, str(i)) for i in range(180)]
+    text, columns, _ = plot(points, selected=100, width=32, height=6)
+    assert len(columns) == len(points)
+    assert text.plain.splitlines()[-2][columns[100]] == "▼"
+    assert all(len(row) == 32 for row in text.plain.splitlines())