poemsforaphrodite's picture
Upload folder using huggingface_hub
b72ab63 verified
from typing import Literal, Optional, Union, cast, Tuple
from .deprecation import AltairDeprecationWarning
from .html import spec_to_html
from ._importers import import_vl_convert, vl_version_for_vl_convert
import struct
import warnings
def spec_to_mimebundle(
spec: dict,
format: Literal["html", "json", "png", "svg", "pdf", "vega", "vega-lite"],
mode: Optional[Literal["vega-lite"]] = None,
vega_version: Optional[str] = None,
vegaembed_version: Optional[str] = None,
vegalite_version: Optional[str] = None,
embed_options: Optional[dict] = None,
engine: Optional[Literal["vl-convert", "altair_saver"]] = None,
**kwargs,
) -> Union[dict, Tuple[dict, dict]]:
"""Convert a vega-lite specification to a mimebundle
The mimebundle type is controlled by the ``format`` argument, which can be
one of the following ['html', 'json', 'png', 'svg', 'pdf', 'vega', 'vega-lite']
Parameters
----------
spec : dict
a dictionary representing a vega-lite plot spec
format : string {'html', 'json', 'png', 'svg', 'pdf', 'vega', 'vega-lite'}
the file format to be saved.
mode : string {'vega-lite'}
The rendering mode.
vega_version : string
The version of vega.js to use
vegaembed_version : string
The version of vegaembed.js to use
vegalite_version : string
The version of vegalite.js to use. Only required if mode=='vega-lite'
embed_options : dict (optional)
The vegaEmbed options dictionary. Defaults to the embed options set with
alt.renderers.set_embed_options().
(See https://github.com/vega/vega-embed for details)
engine: string {'vl-convert', 'altair_saver'}
the conversion engine to use for 'png', 'svg', 'pdf', and 'vega' formats
**kwargs :
Additional arguments will be passed to the generating function
Returns
-------
output : dict
a mime-bundle representing the image
Note
----
The png, svg, pdf, and vega outputs require the altair_saver package
"""
# Local import to avoid circular ImportError
from altair.utils.display import (
compile_with_vegafusion,
using_vegafusion,
)
from altair import renderers
if mode != "vega-lite":
raise ValueError("mode must be 'vega-lite'")
internal_mode: Literal["vega-lite", "vega"] = mode
if using_vegafusion():
spec = compile_with_vegafusion(spec)
internal_mode = "vega"
# Default to the embed options set by alt.renderers.set_embed_options
if embed_options is None:
final_embed_options = renderers.options.get("embed_options", {})
else:
final_embed_options = embed_options
embed_options = preprocess_embed_options(final_embed_options)
if format in ["png", "svg", "pdf", "vega"]:
format = cast(Literal["png", "svg", "pdf", "vega"], format)
return _spec_to_mimebundle_with_engine(
spec,
format,
internal_mode,
engine=engine,
format_locale=embed_options.get("formatLocale", None),
time_format_locale=embed_options.get("timeFormatLocale", None),
**kwargs,
)
if format == "html":
html = spec_to_html(
spec,
mode=internal_mode,
vega_version=vega_version,
vegaembed_version=vegaembed_version,
vegalite_version=vegalite_version,
embed_options=embed_options,
**kwargs,
)
return {"text/html": html}
if format == "vega-lite":
if vegalite_version is None:
raise ValueError("Must specify vegalite_version")
return {"application/vnd.vegalite.v{}+json".format(vegalite_version[0]): spec}
if format == "json":
return {"application/json": spec}
raise ValueError(
"format must be one of "
"['html', 'json', 'png', 'svg', 'pdf', 'vega', 'vega-lite']"
)
def _spec_to_mimebundle_with_engine(
spec: dict,
format: Literal["png", "svg", "pdf", "vega"],
mode: Literal["vega-lite", "vega"],
format_locale: Optional[Union[str, dict]] = None,
time_format_locale: Optional[Union[str, dict]] = None,
**kwargs,
) -> Union[dict, Tuple[dict, dict]]:
"""Helper for Vega-Lite to mimebundle conversions that require an engine
Parameters
----------
spec : dict
a dictionary representing a vega-lite plot spec
format : string {'png', 'svg', 'pdf', 'vega'}
the format of the mimebundle to be returned
mode : string {'vega-lite', 'vega'}
The rendering mode.
engine: string {'vl-convert', 'altair_saver'}
the conversion engine to use
format_locale : str or dict
d3-format locale name or dictionary. Defaults to "en-US" for United States English.
See https://github.com/d3/d3-format/tree/main/locale for available names and example
definitions.
time_format_locale : str or dict
d3-time-format locale name or dictionary. Defaults to "en-US" for United States English.
See https://github.com/d3/d3-time-format/tree/main/locale for available names and example
definitions.
**kwargs :
Additional arguments will be passed to the conversion function
"""
# Normalize the engine string (if any) by lower casing
# and removing underscores and hyphens
engine = kwargs.pop("engine", None)
normalized_engine = _validate_normalize_engine(engine, format)
if normalized_engine == "vlconvert":
vlc = import_vl_convert()
vl_version = vl_version_for_vl_convert()
if format == "vega":
if mode == "vega":
vg = spec
else:
vg = vlc.vegalite_to_vega(spec, vl_version=vl_version)
return {"application/vnd.vega.v5+json": vg}
elif format == "svg":
if mode == "vega":
svg = vlc.vega_to_svg(
spec,
format_locale=format_locale,
time_format_locale=time_format_locale,
)
else:
svg = vlc.vegalite_to_svg(
spec,
vl_version=vl_version,
format_locale=format_locale,
time_format_locale=time_format_locale,
)
return {"image/svg+xml": svg}
elif format == "png":
scale = kwargs.get("scale_factor", 1)
# The default ppi for a PNG file is 72
default_ppi = 72
ppi = kwargs.get("ppi", default_ppi)
if mode == "vega":
png = vlc.vega_to_png(
spec,
scale=scale,
ppi=ppi,
format_locale=format_locale,
time_format_locale=time_format_locale,
)
else:
png = vlc.vegalite_to_png(
spec,
vl_version=vl_version,
scale=scale,
ppi=ppi,
format_locale=format_locale,
time_format_locale=time_format_locale,
)
factor = ppi / default_ppi
w, h = _pngxy(png)
return {"image/png": png}, {
"image/png": {"width": w / factor, "height": h / factor}
}
elif format == "pdf":
scale = kwargs.get("scale_factor", 1)
if mode == "vega":
pdf = vlc.vega_to_pdf(
spec,
scale=scale,
format_locale=format_locale,
time_format_locale=time_format_locale,
)
else:
pdf = vlc.vegalite_to_pdf(
spec,
vl_version=vl_version,
scale=scale,
format_locale=format_locale,
time_format_locale=time_format_locale,
)
return {"application/pdf": pdf}
else:
# This should be validated above
# but raise exception for the sake of future development
raise ValueError("Unexpected format {fmt!r}".format(fmt=format))
elif normalized_engine == "altairsaver":
warnings.warn(
"The altair_saver export engine is deprecated and will be removed in a future version.\n"
"Please migrate to the vl-convert engine",
AltairDeprecationWarning,
stacklevel=1,
)
import altair_saver
return altair_saver.render(spec, format, mode=mode, **kwargs)
else:
# This should be validated above
# but raise exception for the sake of future development
raise ValueError(
"Unexpected normalized_engine {eng!r}".format(eng=normalized_engine)
)
def _validate_normalize_engine(
engine: Optional[Literal["vl-convert", "altair_saver"]],
format: Literal["png", "svg", "pdf", "vega"],
) -> str:
"""Helper to validate and normalize the user-provided engine
engine : {None, 'vl-convert', 'altair_saver'}
the user-provided engine string
format : string {'png', 'svg', 'pdf', 'vega'}
the format of the mimebundle to be returned
"""
# Try to import vl_convert
try:
vlc = import_vl_convert()
except ImportError:
vlc = None
# Try to import altair_saver
try:
import altair_saver
except ImportError:
altair_saver = None
# Normalize engine string by lower casing and removing underscores and hyphens
normalized_engine = (
None if engine is None else engine.lower().replace("-", "").replace("_", "")
)
# Validate or infer default value of normalized_engine
if normalized_engine == "vlconvert":
if vlc is None:
raise ValueError(
"The 'vl-convert' conversion engine requires the vl-convert-python package"
)
elif normalized_engine == "altairsaver":
if altair_saver is None:
raise ValueError(
"The 'altair_saver' conversion engine requires the altair_saver package"
)
elif normalized_engine is None:
if vlc is not None:
normalized_engine = "vlconvert"
elif altair_saver is not None:
normalized_engine = "altairsaver"
else:
raise ValueError(
"Saving charts in {fmt!r} format requires the vl-convert-python or altair_saver package: "
"see http://github.com/altair-viz/altair_saver/".format(fmt=format)
)
else:
raise ValueError(
"Invalid conversion engine {engine!r}. Expected one of {valid!r}".format(
engine=engine, valid=("vl-convert", "altair_saver")
)
)
return normalized_engine
def _pngxy(data):
"""read the (width, height) from a PNG header
Taken from IPython.display
"""
ihdr = data.index(b"IHDR")
# next 8 bytes are width/height
return struct.unpack(">ii", data[ihdr + 4 : ihdr + 12])
def preprocess_embed_options(embed_options: dict) -> dict:
"""Preprocess embed options to a form compatible with Vega Embed
Parameters
----------
embed_options : dict
The embed options dictionary to preprocess.
Returns
-------
embed_opts : dict
The preprocessed embed options dictionary.
"""
embed_options = (embed_options or {}).copy()
# Convert locale strings to objects compatible with Vega Embed using vl-convert
format_locale = embed_options.get("formatLocale", None)
if isinstance(format_locale, str):
vlc = import_vl_convert()
embed_options["formatLocale"] = vlc.get_format_locale(format_locale)
time_format_locale = embed_options.get("timeFormatLocale", None)
if isinstance(time_format_locale, str):
vlc = import_vl_convert()
embed_options["timeFormatLocale"] = vlc.get_time_format_locale(
time_format_locale
)
return embed_options