Rendering & Output

class RendererRegistry:
    def enable(self, name, **kwargs):
        """
        Enable a renderer by name.
        
        Parameters:
        - name: Renderer name ('default', 'html', 'png', 'svg', 'pdf', 'json', 'mimebundle')
        - **kwargs: Renderer-specific options
        """
        
    def register(self, name, renderer_func):
        """
        Register a new renderer function.
        
        Parameters:
        - name: Renderer name
        - renderer_func: Function that renders chart specifications
        """
        
    def get(self):
        """Get current active renderer."""
        
    @property
    def active(self):
        """Get name of active renderer."""
        
    def names(self):
        """Get list of available renderer names."""

# Global renderer registry
renderers = RendererRegistry()

class Chart:
    def show(self):
        """
        Display chart using the active renderer.
        
        In Jupyter notebooks, displays inline.
        In other environments, may open browser or save file.
        """
        
    def save(
        self,
        filename,
        format=None,
        mode=None,
        vegalite_version=None,
        vega_version=None,
        vegaembed_version=None,
        embed_options=None,
        json_kwds=None,
        webdriver=None,
        scale_factor=1,
        **kwargs
    ):
        """
        Save chart to file in various formats.
        
        Parameters:
        - filename: Output filename with extension
        - format: Output format ('html', 'png', 'svg', 'pdf', 'json')
        - mode: Save mode ('vega-lite' or 'vega')
        - vegalite_version: Vega-Lite version to use
        - vega_version: Vega version to use  
        - vegaembed_version: Vega-Embed version to use
        - embed_options: Vega-Embed configuration options
        - json_kwds: JSON serialization options
        - webdriver: Selenium webdriver for image export
        - scale_factor: Scale factor for image export
        """
        
    def serve(
        self,
        port=8888,
        open=True,
        ip='127.0.0.1',
        n_retries=50,
        files=None,
        jupyter_warning=True,
        inline=False,
        **kwargs
    ):
        """
        Serve chart in local web server.
        
        Parameters:
        - port: Server port number
        - open: Whether to open browser automatically
        - ip: Server IP address
        - n_retries: Number of port retries
        - files: Additional files to serve
        - jupyter_warning: Show Jupyter warning
        - inline: Inline mode for Jupyter
        """
        
    def to_dict(self, validate=True, format='vega-lite', context=None):
        """
        Convert chart to dictionary specification.
        
        Parameters:
        - validate: Whether to validate against schema
        - format: Output format ('vega-lite' or 'vega')
        - context: Conversion context
        
        Returns:
        dict: Chart specification dictionary
        """
        
    def to_json(
        self,
        validate=True,
        indent=2,
        sort_keys=True,
        **kwargs
    ):
        """
        Convert chart to JSON string.
        
        Parameters:
        - validate: Whether to validate against schema
        - indent: JSON indentation
        - sort_keys: Whether to sort dictionary keys
        
        Returns:
        str: JSON representation of chart
        """
        
    def to_html(
        self,
        base_url='https://cdn.jsdelivr.net/npm/',
        output_div='vis',
        embed_options=None,
        json_kwds=None,
        fullhtml=True,
        requirejs=False,
        **kwargs
    ):
        """
        Convert chart to standalone HTML.
        
        Parameters:
        - base_url: Base URL for Vega libraries
        - output_div: HTML div ID for chart
        - embed_options: Vega-Embed options
        - json_kwds: JSON serialization options  
        - fullhtml: Whether to include full HTML document
        - requirejs: Whether to use RequireJS
        
        Returns:
        str: HTML representation of chart
        """

class VegaLite:
    def __init__(self, spec, **metadata):
        """
        Vega-Lite renderer for chart specifications.
        
        Parameters:
        - spec: Vega-Lite specification dictionary
        - **metadata: Additional metadata for rendering
        """
        
    def _repr_mimebundle_(self, include=None, exclude=None):
        """Generate MIME bundle for Jupyter display."""
        
    def _repr_html_(self):
        """Generate HTML representation for display."""
        
    @property
    def spec(self):
        """Get chart specification."""

class JupyterChart:
    """
    Enhanced chart class with Jupyter-specific capabilities.
    
    Provides interactive widgets and enhanced display options
    for Jupyter notebook environments.
    """
    
    def __init__(self, chart):
        """
        Create JupyterChart from regular Chart.
        
        Parameters:
        - chart: Altair Chart object
        """
        
    def show(self):
        """Display chart with Jupyter optimizations."""
        
    def display(self):
        """Alternative display method for Jupyter."""

def load_ipython_extension(ipython):
    """
    Load Altair IPython extension for magic commands.
    
    Parameters:
    - ipython: IPython instance
    """

# Library version constants  
VEGA_VERSION: str       # Vega library version
VEGALITE_VERSION: str   # Vega-Lite library version  
VEGAEMBED_VERSION: str  # Vega-Embed library version

# Schema information
SCHEMA_VERSION: str     # Vega-Lite schema version
SCHEMA_URL: str        # URL to Vega-Lite schema

import altair as alt

chart = alt.Chart(data).mark_circle().encode(
    x='x:Q',
    y='y:Q'
)

# Display in current environment
chart.show()

# In Jupyter notebooks, can also just evaluate
chart  # Displays automatically

# Check available renderers
print(alt.renderers.names())

# Enable specific renderer
alt.renderers.enable('html')
alt.renderers.enable('mimebundle')  # Default for Jupyter

# Check active renderer
print(alt.renderers.active)

# Save as HTML
chart.save('chart.html')

# Save as PNG (requires selenium and webdriver)
chart.save('chart.png', scale_factor=2)

# Save as SVG
chart.save('chart.svg')

# Save as PDF  
chart.save('chart.pdf')

# Save JSON specification
chart.save('chart.json')

# Save with custom embed options
chart.save(
    'chart.html',
    embed_options={'actions': False, 'theme': 'dark'}
)

# Generate standalone HTML
html_str = chart.to_html(
    embed_options={
        'theme': 'dark',
        'actions': {'export': True, 'source': False, 'compiled': False, 'editor': False}
    },
    fullhtml=True
)

# Write to file
with open('custom_chart.html', 'w') as f:
    f.write(html_str)

# Get dictionary specification
spec_dict = chart.to_dict()

# Get JSON string
json_str = chart.to_json(indent=4)

# Save with validation disabled
spec_dict = chart.to_dict(validate=False)

# Serve chart on local server
chart.serve(port=8080, open=True)

# Serve with additional files
chart.serve(
    port=8888,
    files={'data.csv': 'path/to/data.csv'}
)

# Enhanced Jupyter display
jupyter_chart = alt.JupyterChart(chart)
jupyter_chart.show()

# Using magic commands (after loading extension)
# %load_ext altair
# %%altair
# alt.Chart(data).mark_point().encode(x='x:Q', y='y:Q')

# Define custom renderer
def custom_png_renderer(spec, **kwargs):
    """Custom PNG renderer with specific settings."""
    # Implementation would handle PNG generation
    # with custom settings
    pass

# Register custom renderer
alt.renderers.register('custom_png', custom_png_renderer)
alt.renderers.enable('custom_png')

# Export multiple charts
charts = [chart1, chart2, chart3]
formats = ['png', 'svg', 'html']

for i, chart in enumerate(charts):
    for fmt in formats:
        filename = f'chart_{i}.{fmt}'
        chart.save(filename)

# Custom HTML template
html_template = """
<!DOCTYPE html>
<html>
<head>
    <title>Custom Chart</title>
    <style>
        body {{ font-family: Arial, sans-serif; }}
        .chart-container {{ margin: 20px; }}
    </style>
</head>
<body>
    <h1>My Custom Chart</h1>
    <div class="chart-container">
        {chart_html}
    </div>
</body>
</html>
"""

chart_html = chart.to_html(fullhtml=False)
full_html = html_template.format(chart_html=chart_html)

with open('custom_page.html', 'w') as f:
    f.write(full_html)

# High-DPI image export
chart.save(
    'high_res_chart.png',
    scale_factor=3,  # 3x resolution
    webdriver='chrome'  # Use Chrome webdriver
)

# PDF export with specific settings
chart.save(
    'chart.pdf',
    embed_options={'actions': False},
    scale_factor=2
)

# Conditional rendering based on environment
import sys

if 'ipykernel' in sys.modules:
    # In Jupyter - use default mimebundle renderer
    alt.renderers.enable('mimebundle')
    chart.show()
elif 'bokeh' in sys.modules:
    # In Bokeh server - use HTML renderer
    alt.renderers.enable('html')
    chart.show()
else:
    # Command line - save to file
    chart.save('output.html')
    print("Chart saved to output.html")

from typing import Union, Dict, Any, Optional, Callable, List

# Renderer function type
RendererFunction = Callable[[Dict[str, Any]], Any]

# Output formats
OutputFormat = Union['html', 'png', 'svg', 'pdf', 'json', 'vega', 'vega-lite']

# Save mode
SaveMode = Union['vega-lite', 'vega']

# Embed options
EmbedOptions = Dict[str, Any]

# MIME bundle
MimeBundle = Dict[str, Any]

# HTML generation options
class HtmlOptions:
    base_url: str = 'https://cdn.jsdelivr.net/npm/'
    output_div: str = 'vis'
    embed_options: Optional[EmbedOptions] = None
    fullhtml: bool = True
    requirejs: bool = False

# Save options
class SaveOptions:
    format: Optional[OutputFormat] = None
    mode: Optional[SaveMode] = None
    scale_factor: int = 1
    webdriver: Optional[str] = None
    embed_options: Optional[EmbedOptions] = None

# Server options
class ServerOptions:
    port: int = 8888
    open: bool = True
    ip: str = '127.0.0.1'
    n_retries: int = 50
    inline: bool = False