_base_renderers.py

from __future__ import absolute_import
import base64
import json
import webbrowser
import inspect
import os

import six
from plotly.io import to_json, to_image, write_image, write_html
from plotly import utils, optional_imports
from plotly.io._orca import ensure_server
from plotly.offline.offline import _get_jconfig, get_plotlyjs
from plotly.tools import return_figure_from_figure_or_data 

ipython_display = optional_imports.get_module('IPython.display')
IPython = optional_imports.get_module('IPython')

try:
    from http.server import BaseHTTPRequestHandler, HTTPServer
except ImportError:
    # Python 2.7
    from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer


class BaseRenderer(object):
    """
    Base class for all renderers
    """
    def activate(self):
        pass

    def __repr__(self):
        try:
            init_sig = inspect.signature(self.__init__)
            init_args = list(init_sig.parameters.keys())
        except AttributeError:
            # Python 2.7
            argspec = inspect.getargspec(self.__init__)
            init_args = [a for a in argspec.args if a != 'self']

        return "{cls}({attrs})\n{doc}".format(
            cls=self.__class__.__name__,
            attrs=", ".join("{}={!r}".format(k, self.__dict__[k])
                           for k in init_args),
            doc=self.__doc__)

    def __hash__(self):
        # Constructor args fully define uniqueness
        return hash(repr(self))


class MimetypeRenderer(BaseRenderer):
    """
    Base class for all mime type renderers
    """
    def to_mimebundle(self, fig_dict):
        raise NotImplementedError()


class JsonRenderer(MimetypeRenderer):
    """
    Renderer to display figures as JSON hierarchies.  This renderer is
    compatible with JupyterLab and VSCode.

    mime type: 'application/json'
    """
    def to_mimebundle(self, fig_dict):
        value = json.loads(to_json(
            fig_dict, validate=False, remove_uids=False))
        return {'application/json': value}


# Plotly mimetype
class PlotlyRenderer(MimetypeRenderer):
    """
    Renderer to display figures using the plotly mime type.  This renderer is
    compatible with JupyterLab (using the @jupyterlab/plotly-extension),
    VSCode, and nteract.

    mime type: 'application/vnd.plotly.v1+json'
    """
    def __init__(self, config=None):
        self.config = dict(config) if config else {}

    def to_mimebundle(self, fig_dict):
        config = _get_jconfig(self.config)
        if config:
            fig_dict['config'] = config

        json_compatible_fig_dict = json.loads(
            to_json(fig_dict, validate=False, remove_uids=False))

        return {'application/vnd.plotly.v1+json': json_compatible_fig_dict}


# Static Image
class ImageRenderer(MimetypeRenderer):
    """
    Base class for all static image renderers
    """
    def __init__(self,
                 mime_type,
                 b64_encode=False,
                 format=None,
                 width=None,
                 height=None,
                 scale=None):

        self.mime_type = mime_type
        self.b64_encode = b64_encode
        self.format = format
        self.width = width
        self.height = height
        self.scale = scale

    def activate(self):
        # Start up orca server to reduce the delay on first render
        ensure_server()

    def to_mimebundle(self, fig_dict):
        image_bytes = to_image(
            fig_dict,
            format=self.format,
            width=self.width,
            height=self.height,
            scale=self.scale,
            validate=False,
        )

        if self.b64_encode:
            image_str = base64.b64encode(image_bytes).decode('utf8')
        else:
            image_str = image_bytes.decode('utf8')

        return {self.mime_type: image_str}


class PngRenderer(ImageRenderer):
    """
    Renderer to display figures as static PNG images.  This renderer requires
    the orca command-line utility and is broadly compatible across IPython
    environments (classic Jupyter Notebook, JupyterLab, QtConsole, VSCode,
    PyCharm, etc) and nbconvert targets (HTML, PDF, etc.).

    mime type: 'image/png'
    """
    def __init__(self, width=None, height=None, scale=None):
        super(PngRenderer, self).__init__(
            mime_type='image/png',
            b64_encode=True,
            format='png',
            width=width,
            height=height,
            scale=scale)


class SvgRenderer(ImageRenderer):
    """
    Renderer to display figures as static SVG images.  This renderer requires
    the orca command-line utility and is broadly compatible across IPython
    environments (classic Jupyter Notebook, JupyterLab, QtConsole, VSCode,
    PyCharm, etc) and nbconvert targets (HTML, PDF, etc.).

    mime type: 'image/svg+xml'
    """
    def __init__(self, width=None, height=None, scale=None):
        super(SvgRenderer, self).__init__(
            mime_type='image/svg+xml',
            b64_encode=False,
            format='svg',
            width=width,
            height=height,
            scale=scale)


class JpegRenderer(ImageRenderer):
    """
    Renderer to display figures as static JPEG images.  This renderer requires
    the orca command-line utility and is broadly compatible across IPython
    environments (classic Jupyter Notebook, JupyterLab, QtConsole, VSCode,
    PyCharm, etc) and nbconvert targets (HTML, PDF, etc.).

    mime type: 'image/jpeg'
    """
    def __init__(self, width=None, height=None, scale=None):
        super(JpegRenderer, self).__init__(
            mime_type='image/jpeg',
            b64_encode=True,
            format='jpg',
            width=width,
            height=height,
            scale=scale)


class PdfRenderer(ImageRenderer):
    """
    Renderer to display figures as static PDF images.  This renderer requires
    the orca command-line utility and is compatible with JupyterLab and the
    LaTeX-based nbconvert export to PDF.

    mime type: 'application/pdf'
    """
    def __init__(self, width=None, height=None, scale=None):
        super(PdfRenderer, self).__init__(
            mime_type='application/pdf',
            b64_encode=True,
            format='pdf',
            width=width,
            height=height,
            scale=scale)


# HTML
# Build script to set global PlotlyConfig object. This must execute before
# plotly.js is loaded.
_window_plotly_config = """\
window.PlotlyConfig = {MathJaxConfig: 'local'};"""

_mathjax_config = """\
if (window.MathJax) {MathJax.Hub.Config({SVG: {font: "STIX-Web"}});}"""


class HtmlRenderer(MimetypeRenderer):
    """
    Base class for all HTML mime type renderers

    mime type: 'text/html'
    """
    def __init__(self,
                 connected=False,
                 full_html=False,
                 requirejs=True,
                 global_init=False,
                 config=None,
                 auto_play=False,
                 post_script=None,
                 animation_opts=None):

        self.config = dict(config) if config else {}
        self.auto_play = auto_play
        self.connected = connected
        self.global_init = global_init
        self.requirejs = requirejs
        self.full_html = full_html
        self.animation_opts = animation_opts
        self.post_script = post_script

    def activate(self):
        if self.global_init:
            if not ipython_display:
                raise ValueError(
                    'The {cls} class requires ipython but it is not installed'
                    .format(cls=self.__class__.__name__))

            if not self.requirejs:
                raise ValueError(
                    'global_init is only supported with requirejs=True')

            if self.connected:
                # Connected so we configure requirejs with the plotly CDN
                script = """\
        <script type="text/javascript">
        {win_config}
        {mathjax_config}
        if (typeof require !== 'undefined') {{
        require.undef("plotly");
        requirejs.config({{
            paths: {{
                'plotly': ['https://cdn.plot.ly/plotly-latest.min']
            }}
        }});
        require(['plotly'], function(Plotly) {{
            window._Plotly = Plotly;
        }});
        }}
        </script>
        """.format(win_config=_window_plotly_config,
                   mathjax_config=_mathjax_config)

            else:
                # If not connected then we embed a copy of the plotly.js
                # library in the notebook
                script = """\
        <script type="text/javascript">
        {win_config}
        {mathjax_config}
        if (typeof require !== 'undefined') {{
        require.undef("plotly");
        define('plotly', function(require, exports, module) {{
            {script}
        }});
        require(['plotly'], function(Plotly) {{
            window._Plotly = Plotly;
        }});
        }}
        </script>
        """.format(script=get_plotlyjs(),
                   win_config=_window_plotly_config,
                   mathjax_config=_mathjax_config)

            ipython_display.display_html(script, raw=True)

    def to_mimebundle(self, fig_dict):

        from plotly.io import to_html

        if self.requirejs:
            include_plotlyjs = 'require'
            include_mathjax = False
        elif self.connected:
            include_plotlyjs = 'cdn'
            include_mathjax = 'cdn'
        else:
            include_plotlyjs = True
            include_mathjax = 'cdn'

        # build post script
        post_script = ["""
var gd = document.getElementById('{plot_id}');
var x = new MutationObserver(function (mutations, observer) {{
        var display = window.getComputedStyle(gd).display;
        if (!display || display === 'none') {{
            console.log([gd, 'removed!']);
            Plotly.purge(gd);
            observer.disconnect();
        }}
}});

// Listen for the removal of the full notebook cells
var notebookContainer = gd.closest('#notebook-container');
if (notebookContainer) {{
    x.observe(notebookContainer, {childList: true});
}}

// Listen for the clearing of the current output cell
var outputEl = gd.closest('.output');
if (outputEl) {{
    x.observe(outputEl, {childList: true});
}}
"""]

        # Add user defined post script
        if self.post_script:
            if not isinstance(self.post_script, (list, tuple)):
                post_script.append(self.post_script)
            else:
                post_script.extend(self.post_script)

        html = to_html(
            fig_dict,
            config=self.config,
            auto_play=self.auto_play,
            include_plotlyjs=include_plotlyjs,
            include_mathjax=include_mathjax,
            post_script=post_script,
            full_html=self.full_html,
            animation_opts=self.animation_opts,
            default_width='100%',
            default_height=525,
            validate=False,
        )

        return {'text/html': html}


class NotebookRenderer(HtmlRenderer):
    """
    Renderer to display interactive figures in the classic Jupyter Notebook.
    This renderer is also useful for notebooks that will be converted to
    HTML using nbconvert/nbviewer as it will produce standalone HTML files
    that include interactive figures.

    This renderer automatically performs global notebook initialization when
    activated.

    mime type: 'text/html'
    """
    def __init__(self,
                 connected=False,
                 config=None,
                 auto_play=False,
                 post_script=None,
                 animation_opts=None):
        super(NotebookRenderer, self).__init__(
            connected=connected,
            full_html=False,
            requirejs=True,
            global_init=True,
            config=config,
            auto_play=auto_play,
            post_script=post_script,
            animation_opts=animation_opts)


class KaggleRenderer(HtmlRenderer):
    """
    Renderer to display interactive figures in Kaggle Notebooks.

    Same as NotebookRenderer but with connected=True so that the plotly.js
    bundle is loaded from a CDN rather than being embedded in the notebook.

    This renderer is enabled by default when running in a Kaggle notebook.

    mime type: 'text/html'
    """
    def __init__(self,
                 config=None,
                 auto_play=False,
                 post_script=None,
                 animation_opts=None):

        super(KaggleRenderer, self).__init__(
            connected=True,
            full_html=False,
            requirejs=True,
            global_init=True,
            config=config,
            auto_play=auto_play,
            post_script=post_script,
            animation_opts=animation_opts)


class ColabRenderer(HtmlRenderer):
    """
    Renderer to display interactive figures in Google Colab Notebooks.

    This renderer is enabled by default when running in a Colab notebook.

    mime type: 'text/html'
    """
    def __init__(self,
                 config=None,
                 auto_play=False,
                 post_script=None,
                 animation_opts=None):

        super(ColabRenderer, self).__init__(
            connected=True,
            full_html=True,
            requirejs=False,
            global_init=False,
            config=config,
            auto_play=auto_play,
            post_script=post_script,
            animation_opts=animation_opts)


class IFrameRenderer(MimetypeRenderer):
    """
    Renderer to display interactive figures using an IFrame.  HTML
    representations of Figures are saved to an `iframe_figures/` directory and
    iframe HTML elements that reference these files are inserted into the
    notebook.

    With this approach, neither plotly.js nor the figure data are embedded in
    the notebook, so this is a good choice for notebooks that contain so many
    large figures that basic operations (like saving and opening) become
    very slow.

    Notebooks using this renderer will display properly when exported to HTML
    as long as the `iframe_figures/` directory is placed in the same directory
    as the exported html file.

    Note that the HTML files in `iframe_figures/` are numbered according to
    the IPython cell execution count and so they will start being overwritten
    each time the kernel is restarted.  This directory may be deleted whenever
    the kernel is restarted and it will be automatically recreated.

    mime type: 'text/html'
    """
    def __init__(self,
                 config=None,
                 auto_play=False,
                 post_script=None,
                 animation_opts=None):

        self.config = config
        self.auto_play = auto_play
        self.post_script = post_script
        self.animation_opts = animation_opts

    def to_mimebundle(self, fig_dict):
        from plotly.io import write_html

        # Make iframe size slightly larger than figure size to avoid
        # having iframe have its own scroll bar.
        iframe_buffer = 20
        layout = fig_dict.get('layout', {})

        if layout.get('width', False):
            iframe_width = str(layout['width'] + iframe_buffer) + 'px'
        else:
            iframe_width = '100%'

        if layout.get('height', False):
            iframe_height = layout['height'] + iframe_buffer
        else:
            iframe_height = str(525 + iframe_buffer) + 'px'

        # Build filename using ipython cell number
        ip = IPython.get_ipython()
        cell_number = list(ip.history_manager.get_tail(1))[0][1] + 1
        dirname = 'iframe_figures'
        filename = '{dirname}/figure_{cell_number}.html'.format(
            dirname=dirname, cell_number=cell_number)

        # Make directory for
        os.makedirs(dirname, exist_ok=True)

        write_html(
            fig_dict,
            filename,
            config=self.config,
            auto_play=self.auto_play,
            include_plotlyjs='directory',
            include_mathjax='cdn',
            auto_open=False,
            post_script=self.post_script,
            animation_opts=self.animation_opts,
            default_width='100%',
            default_height=525,
            validate=False,
        )

        # Build IFrame
        iframe_html = """\
<iframe
    scrolling="no"
    width="{width}"
    height="{height}"
    src="{src}"
    frameborder="0"
    allowfullscreen
></iframe>
""".format(width=iframe_width, height=iframe_height, src=filename)

        return {'text/html': iframe_html}


class ExternalRenderer(BaseRenderer):
    """
    Base class for external renderers.  ExternalRenderer subclasses
    do not display figures inline in a notebook environment, but render
    figures by some external means (e.g. a separate browser tab).

    Unlike MimetypeRenderer subclasses, ExternalRenderer subclasses are not
    invoked when a figure is asked to display itself in the notebook.
    Instead, they are invoked when the plotly.io.show function is called
    on a figure.
    """

    def render(self, fig):
        raise NotImplementedError()


def open_html_in_browser(html, using=None, new=0, autoraise=True):
    """
    Display html in a web browser without creating a temp file.

    Instantiates a trivial http server and uses the webbrowser module to
    open a URL to retrieve html from that server.

    Parameters
    ----------
    html: str
        HTML string to display
    using, new, autoraise:
        See docstrings in webbrowser.get and webbrowser.open
    """
    if isinstance(html, six.string_types):
        html = html.encode('utf8')

    class OneShotRequestHandler(BaseHTTPRequestHandler):
        def do_GET(self):
            self.send_response(200)
            self.send_header("Content-type", "text/html")
            self.end_headers()

            bufferSize = 1024*1024
            for i in range(0, len(html), bufferSize):
                self.wfile.write(html[i:i+bufferSize])

        def log_message(self, format, *args):
            # Silence stderr logging
            pass

    server = HTTPServer(('127.0.0.1', 0), OneShotRequestHandler)
    webbrowser.get(using).open(
        'http://127.0.0.1:%s' % server.server_port,
        new=new,
        autoraise=autoraise)

    server.handle_request()


class BrowserRenderer(ExternalRenderer):
    """
    Renderer to display interactive figures in an external web browser.
    This renderer will open a new browser window or tab when the
    plotly.io.show function is called on a figure.

    This renderer has no ipython/jupyter dependencies and is a good choice
    for use in environments that do not support the inline display of
    interactive figures.

    mime type: 'text/html'
    """
    def __init__(self,
                 config=None,
                 auto_play=False,
                 using=None,
                 new=0,
                 autoraise=True,
                 post_script=None,
                 animation_opts=None):

        self.config = config
        self.auto_play = auto_play
        self.using = using
        self.new = new
        self.autoraise = autoraise
        self.post_script = post_script
        self.animation_opts = animation_opts

    def render(self, fig_dict):
        from plotly.io import to_html
        html = to_html(
            fig_dict,
            config=self.config,
            auto_play=self.auto_play,
            include_plotlyjs=True,
            include_mathjax='cdn',
            post_script=self.post_script,
            full_html=True,
            animation_opts=self.animation_opts,
            default_width='100%',
            default_height='100%',
            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)
        _ = write_html(fig_dict, file=filename_html)
        write_image(figure, filename_png)