Update RichProgressBarTheme after detecting light theme on colab (#10993)

CHANGELOG.md

@@ -621,6 +621,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Configure native Deepspeed schedulers with interval='step' ([#11788](https://github.com/PyTorchLightning/pytorch-lightning/pull/11788))
 
 
+- Update `RichProgressBarTheme` styles after detecting light theme on colab ([#10993](https://github.com/PyTorchLightning/pytorch-lightning/pull/10993))
+
+
 ## [1.5.10] - 2022-02-08
 
 ### Fixed

pytorch_lightning/callbacks/progress/rich_progress.py

@@ -248,6 +248,7 @@ class RichProgressBar(ProgressBarBase):
         self._metric_component = None
         self._progress_stopped: bool = False
         self.theme = theme
+        self._update_for_light_colab_theme()
 
     @property
     def refresh_rate(self) -> float:
@@ -261,12 +262,6 @@ class RichProgressBar(ProgressBarBase):
     def is_disabled(self) -> bool:
         return not self.is_enabled
 
-    def disable(self) -> None:
-        self._enabled = False
-
-    def enable(self) -> None:
-        self._enabled = True
-
     @property
     def sanity_check_description(self) -> str:
         return "Validation Sanity Check"
@@ -283,6 +278,19 @@ class RichProgressBar(ProgressBarBase):
     def predict_description(self) -> str:
         return "Predicting"
 
+    def _update_for_light_colab_theme(self) -> None:
+        if _detect_light_colab_theme():
+            attributes = ["description", "batch_progress", "metrics"]
+            for attr in attributes:
+                if getattr(self.theme, attr) == "white":
+                    setattr(self.theme, attr, "black")
+
+    def disable(self) -> None:
+        self._enabled = False
+
+    def enable(self) -> None:
+        self._enabled = True
+
     def _init_progress(self, trainer):
         if self.is_enabled and (self.progress is None or self._progress_stopped):
             self._reset_progress_bar_ids()
@@ -476,3 +484,20 @@ class RichProgressBar(ProgressBarBase):
             CustomTimeColumn(style=self.theme.time),
             ProcessingSpeedColumn(style=self.theme.processing_speed),
         ]
+
+
+def _detect_light_colab_theme() -> bool:
+    """Detect if it's light theme in Colab."""
+    try:
+        get_ipython  # type: ignore
+    except NameError:
+        return False
+    ipython = get_ipython()  # noqa: F821
+    if "google.colab" in str(ipython.__class__):
+        try:
+            from google.colab import output
+
+            return output.eval_js('document.documentElement.matches("[theme=light]")')
+        except ModuleNotFoundError:
+            return False
+    return False

tests/callbacks/test_rich_progress_bar.py

@@ -285,6 +285,20 @@ def test_rich_progress_bar_counter_with_val_check_interval(tmpdir):
     assert val_bar.total == 4
 
 
+@RunIf(rich=True)
+@mock.patch("pytorch_lightning.callbacks.progress.rich_progress._detect_light_colab_theme", return_value=True)
+def test_rich_progress_bar_colab_light_theme_update(*_):
+    theme = RichProgressBar().theme
+    assert theme.description == "black"
+    assert theme.batch_progress == "black"
+    assert theme.metrics == "black"
+
+    theme = RichProgressBar(theme=RichProgressBarTheme(description="blue", metrics="red")).theme
+    assert theme.description == "blue"
+    assert theme.batch_progress == "black"
+    assert theme.metrics == "red"
+
+
 @RunIf(rich=True)
 def test_rich_progress_bar_metric_display_task_id(tmpdir):
     class CustomModel(BoringModel):