✨ making flask_cors & kaleido optional

.github/workflows/lint.yml

@@ -27,7 +27,7 @@ jobs:
         key: ${{ runner.os }}-poetry-${{ hashFiles('poetry.lock') }}-python-${{ matrix.python-version }}
     - run: poetry --version
     - name: Install dependencies
-      run: poetry install
+      run: poetry install --all-extras
       # Do not use caching (anymore)
 #      if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
     - name: Lint

.github/workflows/test.yml

@@ -43,7 +43,7 @@ jobs:
         key: ${{ runner.os }}-poetry-${{ hashFiles('poetry.lock') }}-python-${{ matrix.python-version }}
     - run: poetry --version
     - name: Install dependencies
-      run: poetry install
+      run: poetry install --all-extras
       # Do not use caching (anymore)
 #      if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
 

CONTRIBUTING.md

@@ -53,9 +53,9 @@ We use [`poetry`](https://python-poetry.org/) as dependency manager for this pro
 
 To install the requirements
 ```sh
-pip install poetry  # install poetry (if you do use the venv option)
-poetry install      # install all the dependencies
-poetry build        # build the underlying C code
+pip install poetry          # install poetry (if you do use the venv option)
+poetry install --all-extras # install all the dependencies
+poetry build                # build the underlying C code
 ```
 
 <details>

plotly_resampler/figure_resampler/figure_resampler.py

@@ -11,13 +11,13 @@
 __author__ = "Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost"
 
 import base64
+import contextlib
 import uuid
 import warnings
 from typing import List, Tuple
 
 import dash
 import plotly.graph_objects as go
-from flask_cors import cross_origin
 from jupyter_dash import JupyterDash
 from plotly.basedatatypes import BaseFigure
 from trace_updater import TraceUpdater
@@ -48,18 +48,26 @@ class JupyterDashPersistentInlineOutput(JupyterDash):
         the :func:`FigureResampler.show_dash <plotly_resampler.figure_resampler.FigureResampler.show_dash>`
         method. However, the mode should be passed as ``"inline"`` since this subclass
         overwrites the inline behavior.
+
+    .. Note::
+        This subclass utilizes the optional ``flask_cors`` package to detect whether the
+        server is alive or not.
+
     """
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
 
         self._uid = str(uuid.uuid4())  # A new unique id for each app
 
-        # Mimic the _alive_{token} endpoint but with cors
-        @self.server.route(f"/_is_alive_{self._uid}", methods=["GET"])
-        @cross_origin(origin=["*"], allow_headers=["Content-Type"])
-        def broadcast_alive():
-            return "Alive"
+        with contextlib.suppress(ImportWarning, ModuleNotFoundError):
+            from flask_cors import cross_origin
+
+            # Mimic the _alive_{token} endpoint but with cors
+            @self.server.route(f"/_is_alive_{self._uid}", methods=["GET"])
+            @cross_origin(origin=["*"], allow_headers=["Content-Type"])
+            def broadcast_alive():
+                return "Alive"
 
     def _display_inline_output(self, dashboard_url, width, height):
         """Display the dash app persistent inline in the notebook.
@@ -71,6 +79,14 @@ def _display_inline_output(self, dashboard_url, width, height):
         # TODO: add option to opt out of this
         from IPython.display import display
 
+        try:
+            import flask_cors  # noqa: F401
+        except (ImportError, ModuleNotFoundError):
+            warnings.warn(
+                "'flask_cors' is not installed. The persistent inline output will "
+                + " not be able to detect whether the server is alive or not."
+            )
+
         # Get the image from the dashboard and encode it as base64
         fig = self.layout.children[0].figure  # is stored there in the show_dash method
         f_width = 1000 if fig.layout.width is None else fig.layout.width
@@ -348,7 +364,9 @@ def show_dash(
                 environments, browsers, etc.
 
                 .. note::
-                    This mode requires the ``kaleido`` package.
+                    This mode requires the ``kaleido`` and ``flask_cors`` package.
+                    Install them : ``pip install plotly_resampler[inline_persistent]``
+                    or ``pip install kaleido flask_cors``.
 
               * ``"jupyterlab"``: The app will be displayed in a dedicated tab in the
                 JupyterLab interface. Requires JupyterLab and the ``jupyterlab-dash``

pyproject.toml

@@ -16,6 +16,21 @@ include = [
     {path = "plotly_resampler/aggregation/algorithms/*.so", format = "wheel"},
     {path = "plotly_resampler/aggregation/algorithms/*.pyd", format = "wheel"}
 ]
+classifiers = [
+    "Development Status :: 5 - Production/Stable",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.7",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Operating System :: POSIX :: Linux",
+    "Operating System :: MacOS :: MacOS X",
+    "Operating System :: Microsoft :: Windows",
+]
 build = "build.py"
 
 [tool.poetry.dependencies]
@@ -29,8 +44,15 @@ numpy = [
     { version = ">=1.14", python = "<3.11" },
     { version = ">=1.24", python = ">=3.11" }
 ]
-Flask-Cors = "^3.0.10"
 orjson = "^3.8.0"  # Faster json serialization
+# Optional dependencies
+Flask-Cors = { version = "^3.0.10", optional = true }
+# Lock kaleido dependency until https://github.com/plotly/Kaleido/issues/156 is resolved
+kaleido = {version = "0.2.1", optional = true}
+
+[tool.poetry.extras]
+# Optional dependencies
+inline_persistent = ["kaleido", "Flask-Cors"]
 
 [tool.poetry.dev-dependencies]
 pytest = "^6.2.5"
@@ -46,10 +68,10 @@ sphinx-autodoc-typehints = "^1.17.0"
 ipywidgets = "^7.7.1"
 memory-profiler = "^0.60.0"
 line-profiler = "^4.0"
-kaleido = "0.2.1"
 ruff = "^0.0.173"
 black = "^22.6.0"
 isort = "^5.10.1"
+# Include the optional dependencies
 # yep = "^0.4"  # c code profiling
 
 # Linting