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| 1 | +# Copyright 2024 Marimo. All rights reserved. |
| 2 | +from __future__ import annotations |
| 3 | + |
| 4 | +from typing import Any |
| 5 | + |
| 6 | +import pytest |
| 7 | + |
| 8 | +pytest.importorskip("plotly.express") |
| 9 | +pytest.importorskip("plotly.graph_objects") |
| 10 | + |
| 11 | +import plotly.express as px |
| 12 | +import plotly.graph_objects as go |
| 13 | + |
| 14 | +from marimo._plugins.ui._impl.plotly import plotly |
| 15 | + |
| 16 | + |
| 17 | +def test_basic_scatter_plot() -> None: |
| 18 | + """Test creating a basic scatter plot.""" |
| 19 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6], mode="markers")) |
| 20 | + plot = plotly(fig) |
| 21 | + |
| 22 | + assert plot is not None |
| 23 | + assert plot.value == [] |
| 24 | + assert plot.ranges == {} |
| 25 | + assert plot.points == [] |
| 26 | + assert plot.indices == [] |
| 27 | + |
| 28 | + |
| 29 | +def test_plotly_express_scatter() -> None: |
| 30 | + """Test creating a plot with plotly express.""" |
| 31 | + import pandas as pd |
| 32 | + |
| 33 | + df = pd.DataFrame( |
| 34 | + {"x": [1, 2, 3], "y": [4, 5, 6], "color": ["A", "B", "A"]} |
| 35 | + ) |
| 36 | + fig = px.scatter(df, x="x", y="y", color="color") |
| 37 | + plot = plotly(fig) |
| 38 | + |
| 39 | + assert plot is not None |
| 40 | + assert plot.value == [] |
| 41 | + |
| 42 | + |
| 43 | +def test_plotly_with_config() -> None: |
| 44 | + """Test creating a plot with custom configuration.""" |
| 45 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 46 | + config = {"staticPlot": True, "displayModeBar": False} |
| 47 | + plot = plotly(fig, config=config) |
| 48 | + |
| 49 | + assert plot is not None |
| 50 | + assert plot._component_args["config"] == config |
| 51 | + |
| 52 | + |
| 53 | +def test_plotly_with_label() -> None: |
| 54 | + """Test creating a plot with a label.""" |
| 55 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 56 | + plot = plotly(fig, label="My Plot") |
| 57 | + |
| 58 | + assert plot is not None |
| 59 | + |
| 60 | + |
| 61 | +def test_plotly_with_on_change() -> None: |
| 62 | + """Test creating a plot with on_change callback.""" |
| 63 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 64 | + callback_called = [] |
| 65 | + |
| 66 | + def on_change(value: Any) -> None: |
| 67 | + callback_called.append(value) |
| 68 | + |
| 69 | + plot = plotly(fig, on_change=on_change) |
| 70 | + assert plot is not None |
| 71 | + |
| 72 | + |
| 73 | +def test_initial_selection() -> None: |
| 74 | + """Test that initial selection is properly set.""" |
| 75 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3, 4], y=[1, 2, 3, 4])) |
| 76 | + |
| 77 | + # Add a selection to the figure |
| 78 | + fig.add_selection(x0=1, x1=3, y0=1, y1=3, xref="x", yref="y") |
| 79 | + |
| 80 | + # Update layout to include axis titles |
| 81 | + fig.update_xaxes(title_text="X Axis") |
| 82 | + fig.update_yaxes(title_text="Y Axis") |
| 83 | + |
| 84 | + plot = plotly(fig) |
| 85 | + |
| 86 | + # Check that initial value contains the selection |
| 87 | + initial_value = plot._args.initial_value |
| 88 | + assert "range" in initial_value |
| 89 | + assert "x" in initial_value["range"] |
| 90 | + assert "y" in initial_value["range"] |
| 91 | + assert initial_value["range"]["x"] == [1, 3] |
| 92 | + assert initial_value["range"]["y"] == [1, 3] |
| 93 | + |
| 94 | + # Check that points within the selection are included |
| 95 | + assert "points" in initial_value |
| 96 | + assert "indices" in initial_value |
| 97 | + # Points at (1,1), (2,2), and (3,3) should be selected (using <= comparisons) |
| 98 | + assert len(initial_value["indices"]) == 3 |
| 99 | + assert initial_value["indices"] == [0, 1, 2] |
| 100 | + |
| 101 | + |
| 102 | +def test_selection_with_axis_titles() -> None: |
| 103 | + """Test that selection properly extracts axis titles.""" |
| 104 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 105 | + fig.update_xaxes(title_text="Time") |
| 106 | + fig.update_yaxes(title_text="Value") |
| 107 | + fig.add_selection(x0=1, x1=2, y0=4, y1=5, xref="x", yref="y") |
| 108 | + |
| 109 | + plot = plotly(fig) |
| 110 | + |
| 111 | + # Check that points have the correct axis labels |
| 112 | + initial_value = plot._args.initial_value |
| 113 | + if initial_value["points"]: |
| 114 | + point = initial_value["points"][0] |
| 115 | + assert "Time" in point or "Value" in point |
| 116 | + |
| 117 | + |
| 118 | +def test_selection_without_axis_titles() -> None: |
| 119 | + """Test selection when axes don't have titles.""" |
| 120 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 121 | + fig.add_selection(x0=1, x1=2, y0=4, y1=5, xref="x", yref="y") |
| 122 | + |
| 123 | + plot = plotly(fig) |
| 124 | + |
| 125 | + # Should still work, but points might be empty or have generic labels |
| 126 | + initial_value = plot._args.initial_value |
| 127 | + assert "points" in initial_value |
| 128 | + |
| 129 | + |
| 130 | +def test_convert_value_with_selection() -> None: |
| 131 | + """Test _convert_value method with selection data.""" |
| 132 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 133 | + plot = plotly(fig) |
| 134 | + |
| 135 | + selection = { |
| 136 | + "points": [{"x": 1, "y": 4}, {"x": 2, "y": 5}], |
| 137 | + "range": {"x": [1, 2], "y": [4, 5]}, |
| 138 | + "indices": [0, 1], |
| 139 | + } |
| 140 | + |
| 141 | + result = plot._convert_value(selection) |
| 142 | + |
| 143 | + # _convert_value should return the points |
| 144 | + assert result == selection["points"] |
| 145 | + assert plot.ranges == {"x": [1, 2], "y": [4, 5]} |
| 146 | + assert plot.indices == [0, 1] |
| 147 | + |
| 148 | + |
| 149 | +def test_convert_value_empty_selection() -> None: |
| 150 | + """Test _convert_value with empty selection.""" |
| 151 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 152 | + plot = plotly(fig) |
| 153 | + |
| 154 | + result = plot._convert_value({}) |
| 155 | + |
| 156 | + assert result == [] |
| 157 | + assert plot.ranges == {} |
| 158 | + assert plot.points == [] |
| 159 | + assert plot.indices == [] |
| 160 | + |
| 161 | + |
| 162 | +def test_ranges_property() -> None: |
| 163 | + """Test the ranges property.""" |
| 164 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 165 | + plot = plotly(fig) |
| 166 | + |
| 167 | + # Initially empty |
| 168 | + assert plot.ranges == {} |
| 169 | + |
| 170 | + # Set selection data |
| 171 | + plot._convert_value({"range": {"x": [1, 2], "y": [4, 5]}}) |
| 172 | + assert plot.ranges == {"x": [1, 2], "y": [4, 5]} |
| 173 | + |
| 174 | + |
| 175 | +def test_points_property() -> None: |
| 176 | + """Test the points property.""" |
| 177 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 178 | + plot = plotly(fig) |
| 179 | + |
| 180 | + # Initially empty |
| 181 | + assert plot.points == [] |
| 182 | + |
| 183 | + # Set selection data |
| 184 | + plot._convert_value({"points": [{"x": 1, "y": 4}]}) |
| 185 | + assert plot.points == [{"x": 1, "y": 4}] |
| 186 | + |
| 187 | + |
| 188 | +def test_indices_property() -> None: |
| 189 | + """Test the indices property.""" |
| 190 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 191 | + plot = plotly(fig) |
| 192 | + |
| 193 | + # Initially empty |
| 194 | + assert plot.indices == [] |
| 195 | + |
| 196 | + # Set selection data |
| 197 | + plot._convert_value({"indices": [0, 2]}) |
| 198 | + assert plot.indices == [0, 2] |
| 199 | + |
| 200 | + |
| 201 | +def test_treemap() -> None: |
| 202 | + """Test that treemaps can be created (supported chart type).""" |
| 203 | + fig = go.Figure( |
| 204 | + go.Treemap( |
| 205 | + labels=["A", "B", "C"], |
| 206 | + parents=["", "A", "A"], |
| 207 | + values=[10, 5, 5], |
| 208 | + ) |
| 209 | + ) |
| 210 | + plot = plotly(fig) |
| 211 | + |
| 212 | + assert plot is not None |
| 213 | + |
| 214 | + |
| 215 | +def test_sunburst() -> None: |
| 216 | + """Test that sunburst charts can be created (supported chart type).""" |
| 217 | + fig = go.Figure( |
| 218 | + go.Sunburst( |
| 219 | + labels=["A", "B", "C"], |
| 220 | + parents=["", "A", "A"], |
| 221 | + values=[10, 5, 5], |
| 222 | + ) |
| 223 | + ) |
| 224 | + plot = plotly(fig) |
| 225 | + |
| 226 | + assert plot is not None |
| 227 | + |
| 228 | + |
| 229 | +def test_multiple_traces() -> None: |
| 230 | + """Test plot with multiple traces.""" |
| 231 | + fig = go.Figure() |
| 232 | + fig.add_trace(go.Scatter(x=[1, 2, 3], y=[4, 5, 6], name="Trace 1")) |
| 233 | + fig.add_trace(go.Scatter(x=[1, 2, 3], y=[6, 5, 4], name="Trace 2")) |
| 234 | + |
| 235 | + plot = plotly(fig) |
| 236 | + assert plot is not None |
| 237 | + |
| 238 | + |
| 239 | +def test_selection_across_multiple_traces() -> None: |
| 240 | + """Test that selection works across multiple traces.""" |
| 241 | + fig = go.Figure() |
| 242 | + fig.add_trace(go.Scatter(x=[1, 2], y=[1, 2], name="Trace 1")) |
| 243 | + fig.add_trace(go.Scatter(x=[2, 3], y=[2, 3], name="Trace 2")) |
| 244 | + fig.update_xaxes(title_text="X") |
| 245 | + fig.update_yaxes(title_text="Y") |
| 246 | + fig.add_selection(x0=1.5, x1=2.5, y0=1.5, y1=2.5, xref="x", yref="y") |
| 247 | + |
| 248 | + plot = plotly(fig) |
| 249 | + |
| 250 | + # Should select points from both traces |
| 251 | + initial_value = plot._args.initial_value |
| 252 | + assert len(initial_value["indices"]) >= 1 |
| 253 | + |
| 254 | + |
| 255 | +def test_selection_with_no_data() -> None: |
| 256 | + """Test selection on a plot with no data.""" |
| 257 | + fig = go.Figure() |
| 258 | + fig.add_selection(x0=1, x1=2, y0=1, y1=2, xref="x", yref="y") |
| 259 | + |
| 260 | + plot = plotly(fig) |
| 261 | + |
| 262 | + # Should not error, but should have empty selection |
| 263 | + initial_value = plot._args.initial_value |
| 264 | + assert initial_value["points"] == [] |
| 265 | + assert initial_value["indices"] == [] |
| 266 | + |
| 267 | + |
| 268 | +def test_selection_partial_attributes() -> None: |
| 269 | + """Test that selection without all required attributes is ignored.""" |
| 270 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 271 | + |
| 272 | + plot = plotly(fig) |
| 273 | + assert plot is not None |
| 274 | + |
| 275 | + |
| 276 | +def test_figure_serialization() -> None: |
| 277 | + """Test that the figure is properly serialized to JSON.""" |
| 278 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 279 | + plot = plotly(fig) |
| 280 | + |
| 281 | + # Check that figure is in args as a dictionary |
| 282 | + assert "figure" in plot._component_args |
| 283 | + assert isinstance(plot._component_args["figure"], dict) |
| 284 | + assert "data" in plot._component_args["figure"] |
| 285 | + |
| 286 | + |
| 287 | +def test_default_config_from_renderer() -> None: |
| 288 | + """Test that default config is pulled from renderer when not provided.""" |
| 289 | + import plotly.io as pio |
| 290 | + |
| 291 | + # Save original renderer |
| 292 | + original_renderer = pio.renderers.default |
| 293 | + |
| 294 | + try: |
| 295 | + # Set a renderer with custom config |
| 296 | + pio.renderers.default = "browser" |
| 297 | + |
| 298 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 299 | + plot = plotly(fig) |
| 300 | + |
| 301 | + # Should have some config (exact config depends on renderer) |
| 302 | + assert "config" in plot._component_args |
| 303 | + |
| 304 | + finally: |
| 305 | + # Restore original renderer |
| 306 | + pio.renderers.default = original_renderer |
| 307 | + |
| 308 | + |
| 309 | +def test_explicit_config_overrides_renderer() -> None: |
| 310 | + """Test that explicit config takes precedence over renderer config.""" |
| 311 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 312 | + custom_config = {"displaylogo": False} |
| 313 | + plot = plotly(fig, config=custom_config) |
| 314 | + |
| 315 | + assert plot._component_args["config"] == custom_config |
| 316 | + |
| 317 | + |
| 318 | +def test_value_returns_points() -> None: |
| 319 | + """Test that .value returns the points list.""" |
| 320 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) |
| 321 | + plot = plotly(fig) |
| 322 | + |
| 323 | + selection = { |
| 324 | + "points": [{"x": 1, "y": 4}], |
| 325 | + "range": {"x": [1, 2], "y": [4, 5]}, |
| 326 | + "indices": [0], |
| 327 | + } |
| 328 | + |
| 329 | + # _convert_value returns the points |
| 330 | + result = plot._convert_value(selection) |
| 331 | + assert result == [{"x": 1, "y": 4}] |
| 332 | + |
| 333 | + |
| 334 | +def test_plotly_name() -> None: |
| 335 | + """Test that the component name is correct.""" |
| 336 | + assert plotly.name == "marimo-plotly" |
| 337 | + |
| 338 | + |
| 339 | +def test_selection_boundary_conditions() -> None: |
| 340 | + """Test selection at exact boundaries.""" |
| 341 | + fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[1, 2, 3])) |
| 342 | + fig.update_xaxes(title_text="X") |
| 343 | + fig.update_yaxes(title_text="Y") |
| 344 | + |
| 345 | + # Selection that exactly matches point (2, 2) |
| 346 | + fig.add_selection(x0=2, x1=2, y0=2, y1=2, xref="x", yref="y") |
| 347 | + |
| 348 | + plot = plotly(fig) |
| 349 | + |
| 350 | + # Point at exactly (2, 2) should be selected (using <= comparisons) |
| 351 | + initial_value = plot._args.initial_value |
| 352 | + assert len(initial_value["indices"]) == 1 |
| 353 | + assert 1 in initial_value["indices"] |
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