Scraper function for sphinx-gallery, in plotly.io

plotly/io/_base_renderers.py

@@ -6,10 +6,12 @@
 import os
 
 import six
-from plotly.io import to_json, to_image
+from plotly.io import to_json, to_image, write_image
 from plotly import utils, optional_imports
 from plotly.io._orca import ensure_server
 from plotly.offline.offline import _get_jconfig, get_plotlyjs
+from plotly.offline import plot
+from plotly.tools import return_figure_from_figure_or_data 
 
 ipython_display = optional_imports.get_module('IPython.display')
 IPython = optional_imports.get_module('IPython')
@@ -637,3 +639,21 @@ def render(self, fig_dict):
             validate=False,
         )
         open_html_in_browser(html, self.using, self.new, self.autoraise)
+
+
+class SphinxGalleryRenderer(ExternalRenderer):
+
+    def render(self, fig_dict):
+        stack = inspect.stack()
+        # Name of script from which plot function was called is retrieved
+        try:
+            filename = stack[3].filename # let's hope this is robust...
+        except: #python 2
+            filename = stack[3][1]
+        filename_root, _ = os.path.splitext(filename)
+        filename_html = filename_root + '.html'
+        filename_png = filename_root + '.png'
+        figure = return_figure_from_figure_or_data(fig_dict, True)
+        _ = plot(fig_dict, auto_open=False,
+                 filename=filename_html)
+        write_image(figure, filename_png)

plotly/io/_renderers.py

@@ -12,7 +12,8 @@
 from plotly.io._base_renderers import (
     MimetypeRenderer, ExternalRenderer, PlotlyRenderer, NotebookRenderer,
     KaggleRenderer, ColabRenderer, JsonRenderer, PngRenderer, JpegRenderer,
-    SvgRenderer, PdfRenderer, BrowserRenderer, IFrameRenderer)
+    SvgRenderer, PdfRenderer, BrowserRenderer, IFrameRenderer,
+    SphinxGalleryRenderer)
 from plotly.io._utils import validate_coerce_fig_to_dict
 
 ipython = optional_imports.get_module('IPython')
@@ -394,6 +395,7 @@ def show(fig, renderer=None, validate=True, **kwargs):
 renderers['chrome'] = BrowserRenderer(config=config, using='chrome')
 renderers['chromium'] = BrowserRenderer(config=config, using='chromium')
 renderers['iframe'] = IFrameRenderer(config=config)
+renderers['sphinx_gallery'] = SphinxGalleryRenderer()
 
 # Set default renderer
 # --------------------

plotly/io/_sg_scraper.py

@@ -0,0 +1,104 @@
+# This module defines an image scraper for sphinx-gallery
+# https://sphinx-gallery.github.io/
+# which can be used by projects using plotly in their documentation.
+import inspect, os
+
+import plotly
+from glob import glob
+import shutil
+
+plotly.io.renderers.default = 'sphinx_gallery' 
+
+
+def plotly_sg_scraper(block, block_vars, gallery_conf, **kwargs):
+    """Scrape Plotly figures for galleries of examples using
+    sphinx-gallery.
+
+    Examples should use ``plotly.io.show()`` to display the figure with
+    the custom sphinx_gallery renderer.
+
+    Since the sphinx_gallery renderer generates both html and static png
+    files, we simply crawl these files and give them the appropriate path.
+
+    Parameters
+    ----------
+    block : tuple
+        A tuple containing the (label, content, line_number) of the block.
+    block_vars : dict
+        Dict of block variables.
+    gallery_conf : dict
+        Contains the configuration of Sphinx-Gallery
+    **kwargs : dict
+        Additional keyword arguments to pass to
+        :meth:`~matplotlib.figure.Figure.savefig`, e.g. ``format='svg'``.
+        The ``format`` kwarg in particular is used to set the file extension
+        of the output file (currently only 'png' and 'svg' are supported).
+
+    Returns
+    -------
+    rst : str
+        The ReSTructuredText that will be rendered to HTML containing
+        the images.
+
+    Notes
+    -----
+    Add this function to the image scrapers 
+    """
+    examples_dirs = gallery_conf['examples_dirs']
+    if isinstance(examples_dirs, (list, tuple)):
+        examples_dirs = examples_dirs[0]
+    pngs = sorted(glob(os.path.join(examples_dirs,
+                            '*.png')))
+    htmls = sorted(glob(os.path.join(examples_dirs,
+                            '*.html')))
+    image_path_iterator = block_vars['image_path_iterator']
+    image_names = list()
+    seen = set()
+    for html, png in zip(htmls, pngs):
+        if png not in seen:
+            seen |= set(png)
+            this_image_path_png = next(image_path_iterator)
+            this_image_path_html = (os.path.splitext(
+                                    this_image_path_png)[0] + '.html')
+            image_names.append(this_image_path_html)
+            shutil.move(png, this_image_path_png)
+            shutil.move(html, this_image_path_html)
+    # Use the `figure_rst` helper function to generate rST for image files
+    return figure_rst(image_names, gallery_conf['src_dir'])
+
+
+def figure_rst(figure_list, sources_dir):
+    """Generate RST for a list of PNG filenames.
+
+    Depending on whether we have one or more figures, we use a
+    single rst call to 'image' or a horizontal list.
+
+    Parameters
+    ----------
+    figure_list : list
+        List of strings of the figures' absolute paths.
+    sources_dir : str
+        absolute path of Sphinx documentation sources
+
+    Returns
+    -------
+    images_rst : str
+        rst code to embed the images in the document
+    """
+
+    figure_paths = [os.path.relpath(figure_path, sources_dir)
+                    .replace(os.sep, '/').lstrip('/')
+                    for figure_path in figure_list]
+    images_rst = ""
+    figure_name = figure_paths[0]
+    ext = os.path.splitext(figure_name)[1]
+    figure_path = os.path.join('images', os.path.basename(figure_name))
+    images_rst = SINGLE_HTML % figure_path
+    return images_rst
+
+
+SINGLE_HTML = """
+.. raw:: html
+    :file: %s
+"""
+

plotly/tests/test_optional/test_jupyter/package.json

@@ -15,6 +15,8 @@
     "ecstatic": "^2.1.0",
     "tap-parser": "^2.0.0",
     "tape": "^4.6.0",
-    "xhr": "^2.2.2"
+    "xhr": "^2.2.2",
+    "electron": "^1.8.4",
+    "orca": "^1.2.1"
   }
 }

plotly/tests/test_orca/test_sg_scraper.py

@@ -0,0 +1,60 @@
+import plotly
+import os
+import shutil
+import pytest
+
+
+# Fixtures
+# --------
+@pytest.fixture()
+def setup():
+    # Reset orca state
+    plotly.io.orca.config.restore_defaults(reset_server=False)
+
+
+# Run setup before every test function in this file
+pytestmark = pytest.mark.usefixtures("setup")
+
+
+def execute_plotly_example():
+    """
+    Some typical code which would go inside a gallery example.
+    """
+    import plotly.graph_objs as go
+
+    # Create random data with numpy
+    import numpy as np
+
+    N = 200
+    random_x = np.random.randn(N)
+    random_y_0 = np.random.randn(N)
+    random_y_1 = np.random.randn(N) - 1
+
+    # Create traces
+    trace_0 = go.Scatter(
+        x=random_x,
+        y=random_y_0,
+        mode='markers',
+        name='Above',
+    )
+
+    fig = go.Figure(data=[trace_0])
+    plotly.io.show(fig)
+
+
+def test_scraper():
+    from plotly.io._sg_scraper import plotly_sg_scraper
+    # test that monkey-patching worked ok
+    assert plotly.io.renderers.default == 'sphinx_gallery'
+    # Use dummy values for arguments of plotly_sg_scraper
+    block = '' # we don't need actually code
+    import tempfile
+    tempdir = tempfile.mkdtemp()
+    gallery_conf = {'src_dir':tempdir,
+                    'examples_dirs':'plotly/tests/test_orca'}
+    names = iter(['0', '1', '2'])
+    block_vars = {'image_path_iterator':names}
+    execute_plotly_example()
+    res = plotly_sg_scraper(block, block_vars, gallery_conf)
+    shutil.rmtree(tempdir)
+    assert ".. raw:: html" in res

tox.ini

@@ -74,6 +74,7 @@ deps=
     optional: matplotlib==2.2.3
     optional: xarray==0.10.9
     optional: scikit-image==0.13.1
+    optional: psutil==5.6.2
     plot_ly: pandas==0.23.2
     plot_ly: numpy==1.14.3
     plot_ly: ipywidgets==7.2.0