Mise à jour de Monitor.py et autres scripts

myenv/lib/python3.11/site-packages/streamlit/elements/bokeh_chart.py

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+# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022-2025)
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""A Python wrapper around Bokeh."""
+
+from __future__ import annotations
+
+import json
+from typing import TYPE_CHECKING, Final, cast
+
+from streamlit.errors import StreamlitAPIException
+from streamlit.proto.BokehChart_pb2 import BokehChart as BokehChartProto
+from streamlit.runtime.metrics_util import gather_metrics
+from streamlit.util import calc_md5
+
+if TYPE_CHECKING:
+    from bokeh.plotting.figure import Figure
+
+    from streamlit.delta_generator import DeltaGenerator
+
+ST_BOKEH_VERSION: Final = "2.4.3"
+
+
+class BokehMixin:
+    @gather_metrics("bokeh_chart")
+    def bokeh_chart(
+        self,
+        figure: Figure,
+        use_container_width: bool = True,
+    ) -> DeltaGenerator:
+        """Display an interactive Bokeh chart.
+
+        Bokeh is a charting library for Python. The arguments to this function
+        closely follow the ones for Bokeh's ``show`` function. You can find
+        more about Bokeh at https://bokeh.pydata.org.
+
+        To show Bokeh charts in Streamlit, call ``st.bokeh_chart``
+        wherever you would call Bokeh's ``show``.
+
+        .. Important::
+            You must install ``bokeh==2.4.3`` and ``numpy<2`` to use this
+            command.
+
+            If you need a newer version of Bokeh, use our |streamlit-bokeh|_
+            custom component instead.
+
+        .. |streamlit-bokeh| replace:: ``streamlit-bokeh``
+        .. _streamlit-bokeh: https://github.com/streamlit/streamlit-bokeh
+
+        Parameters
+        ----------
+        figure : bokeh.plotting.figure.Figure
+            A Bokeh figure to plot.
+
+        use_container_width : bool
+            Whether to override the figure's native width with the width of
+            the parent container. If ``use_container_width`` is ``True`` (default),
+            Streamlit sets the width of the figure to match the width of the parent
+            container. If ``use_container_width`` is ``False``, Streamlit sets the
+            width of the chart to fit its contents according to the plotting library,
+            up to the width of the parent container.
+
+        Example
+        -------
+        >>> import streamlit as st
+        >>> from bokeh.plotting import figure
+        >>>
+        >>> x = [1, 2, 3, 4, 5]
+        >>> y = [6, 7, 2, 4, 5]
+        >>>
+        >>> p = figure(title="simple line example", x_axis_label="x", y_axis_label="y")
+        >>> p.line(x, y, legend_label="Trend", line_width=2)
+        >>>
+        >>> st.bokeh_chart(p)
+
+        .. output::
+           https://doc-bokeh-chart.streamlit.app/
+           height: 700px
+
+        """
+        import bokeh
+
+        if bokeh.__version__ != ST_BOKEH_VERSION:
+            raise StreamlitAPIException(
+                f"Streamlit only supports Bokeh version {ST_BOKEH_VERSION}, "
+                f"but you have version {bokeh.__version__} installed. Please "
+                f"run `pip install --force-reinstall --no-deps bokeh=="
+                f"{ST_BOKEH_VERSION}` to install the correct version.\n\n\n"
+                f"To use the latest version of Bokeh, install our custom component, "
+                f"[streamlit-bokeh](https://github.com/streamlit/streamlit-bokeh)."
+            )
+
+        # Generate element ID from delta path
+        delta_path = self.dg._get_delta_path_str()
+
+        element_id = calc_md5(delta_path.encode())
+        bokeh_chart_proto = BokehChartProto()
+        marshall(bokeh_chart_proto, figure, use_container_width, element_id)
+        return self.dg._enqueue("bokeh_chart", bokeh_chart_proto)
+
+    @property
+    def dg(self) -> DeltaGenerator:
+        """Get our DeltaGenerator."""
+        return cast("DeltaGenerator", self)
+
+
+def marshall(
+    proto: BokehChartProto,
+    figure: Figure,
+    use_container_width: bool,
+    element_id: str,
+) -> None:
+    """Construct a Bokeh chart object.
+
+    See DeltaGenerator.bokeh_chart for docs.
+    """
+    from bokeh.embed import json_item
+
+    data = json_item(figure)
+    proto.figure = json.dumps(data)
+    proto.use_container_width = use_container_width
+    proto.element_id = element_id