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from __future__ import annotations | |
import json | |
import pathlib | |
import warnings | |
from typing import IO, TYPE_CHECKING, Any, Literal | |
from altair.utils._vegafusion_data import using_vegafusion | |
from altair.utils.deprecation import deprecated_warn | |
from altair.vegalite.v5.data import data_transformers | |
from .mimebundle import spec_to_mimebundle | |
if TYPE_CHECKING: | |
from pathlib import Path | |
def write_file_or_filename( | |
fp: str | Path | IO, | |
content: str | bytes, | |
mode: str = "w", | |
encoding: str | None = None, | |
) -> None: | |
"""Write content to fp, whether fp is a string, a pathlib Path or a file-like object.""" | |
if isinstance(fp, (str, pathlib.Path)): | |
with pathlib.Path(fp).open(mode=mode, encoding=encoding) as f: | |
f.write(content) | |
else: | |
fp.write(content) | |
def set_inspect_format_argument( | |
format: str | None, fp: str | Path | IO, inline: bool | |
) -> str: | |
"""Inspect the format argument in the save function.""" | |
if format is None: | |
if isinstance(fp, (str, pathlib.Path)): | |
format = pathlib.Path(fp).suffix.lstrip(".") | |
else: | |
msg = ( | |
"must specify file format: " | |
"['png', 'svg', 'pdf', 'html', 'json', 'vega']" | |
) | |
raise ValueError(msg) | |
if format != "html" and inline: | |
warnings.warn("inline argument ignored for non HTML formats.", stacklevel=1) | |
return format | |
def set_inspect_mode_argument( | |
mode: Literal["vega-lite"] | None, | |
embed_options: dict[str, Any], | |
spec: dict[str, Any], | |
vegalite_version: str | None, | |
) -> Literal["vega-lite"]: | |
"""Inspect the mode argument in the save function.""" | |
if mode is None: | |
if "mode" in embed_options: | |
mode = embed_options["mode"] | |
elif "$schema" in spec: | |
mode = spec["$schema"].split("/")[-2] | |
else: | |
mode = "vega-lite" | |
if mode != "vega-lite": | |
msg = "mode must be 'vega-lite', " f"not '{mode}'" | |
raise ValueError(msg) | |
if mode == "vega-lite" and vegalite_version is None: | |
msg = "must specify vega-lite version" | |
raise ValueError(msg) | |
return mode | |
def save( | |
chart, | |
fp: str | Path | IO, | |
vega_version: str | None, | |
vegaembed_version: str | None, | |
format: Literal["json", "html", "png", "svg", "pdf"] | None = None, | |
mode: Literal["vega-lite"] | None = None, | |
vegalite_version: str | None = None, | |
embed_options: dict | None = None, | |
json_kwds: dict | None = None, | |
scale_factor: float = 1, | |
engine: Literal["vl-convert"] | None = None, | |
inline: bool = False, | |
**kwargs, | |
) -> None: | |
""" | |
Save a chart to file in a variety of formats. | |
Supported formats are [json, html, png, svg, pdf] | |
Parameters | |
---------- | |
chart : alt.Chart | |
the chart instance to save | |
fp : string filename, pathlib.Path or file-like object | |
file to which to write the chart. | |
format : string (optional) | |
the format to write: one of ['json', 'html', 'png', 'svg', 'pdf']. | |
If not specified, the format will be determined from the filename. | |
mode : string (optional) | |
Must be 'vega-lite'. If not specified, then infer the mode from | |
the '$schema' property of the spec, or the ``opt`` dictionary. | |
If it's not specified in either of those places, then use 'vega-lite'. | |
vega_version : string (optional) | |
For html output, the version of vega.js to use | |
vegalite_version : string (optional) | |
For html output, the version of vegalite.js to use | |
vegaembed_version : string (optional) | |
For html output, the version of vegaembed.js to use | |
embed_options : dict (optional) | |
The vegaEmbed options dictionary. Default is {} | |
(See https://github.com/vega/vega-embed for details) | |
json_kwds : dict (optional) | |
Additional keyword arguments are passed to the output method | |
associated with the specified format. | |
scale_factor : float (optional) | |
scale_factor to use to change size/resolution of png or svg output | |
engine: string {'vl-convert'} | |
the conversion engine to use for 'png', 'svg', and 'pdf' formats | |
inline: bool (optional) | |
If False (default), the required JavaScript libraries are loaded | |
from a CDN location in the resulting html file. | |
If True, the required JavaScript libraries are inlined into the resulting | |
html file so that it will work without an internet connection. | |
The vl-convert-python package is required if True. | |
**kwargs : | |
additional kwargs passed to spec_to_mimebundle. | |
""" | |
if _ := kwargs.pop("webdriver", None): | |
deprecated_warn( | |
"The webdriver argument is not relevant for the new vl-convert engine which replaced altair_saver. " | |
"The argument will be removed in a future release.", | |
version="5.0.0", | |
) | |
json_kwds = json_kwds or {} | |
encoding = kwargs.get("encoding", "utf-8") | |
format = set_inspect_format_argument(format, fp, inline) # type: ignore[assignment] | |
def perform_save() -> None: | |
spec = chart.to_dict(context={"pre_transform": False}) | |
inner_mode = set_inspect_mode_argument( | |
mode, embed_options or {}, spec, vegalite_version | |
) | |
if format == "json": | |
json_spec = json.dumps(spec, **json_kwds) | |
write_file_or_filename(fp, json_spec, mode="w", encoding=encoding) | |
elif format == "html": | |
if inline: | |
kwargs["template"] = "inline" | |
mb_html = spec_to_mimebundle( | |
spec=spec, | |
format=format, | |
mode=inner_mode, | |
vega_version=vega_version, | |
vegalite_version=vegalite_version, | |
vegaembed_version=vegaembed_version, | |
embed_options=embed_options, | |
json_kwds=json_kwds, | |
**kwargs, | |
) | |
write_file_or_filename( | |
fp, mb_html["text/html"], mode="w", encoding=encoding | |
) | |
elif format == "png": | |
mb_png = spec_to_mimebundle( | |
spec=spec, | |
format=format, | |
mode=inner_mode, | |
vega_version=vega_version, | |
vegalite_version=vegalite_version, | |
vegaembed_version=vegaembed_version, | |
embed_options=embed_options, | |
scale_factor=scale_factor, | |
engine=engine, | |
**kwargs, | |
) | |
write_file_or_filename(fp, mb_png[0]["image/png"], mode="wb") | |
elif format in {"svg", "pdf", "vega"}: | |
mb_any = spec_to_mimebundle( | |
spec=spec, | |
format=format, | |
mode=inner_mode, | |
vega_version=vega_version, | |
vegalite_version=vegalite_version, | |
vegaembed_version=vegaembed_version, | |
embed_options=embed_options, | |
scale_factor=scale_factor, | |
engine=engine, | |
**kwargs, | |
) | |
if format == "pdf": | |
write_file_or_filename(fp, mb_any["application/pdf"], mode="wb") | |
else: | |
write_file_or_filename( | |
fp, mb_any["image/svg+xml"], mode="w", encoding=encoding | |
) | |
else: | |
msg = f"Unsupported format: '{format}'" | |
raise ValueError(msg) | |
if using_vegafusion(): | |
# When the vegafusion data transformer is enabled, transforms will be | |
# evaluated during save and the resulting data will be included in the | |
# vega specification that is saved. | |
with data_transformers.disable_max_rows(): | |
perform_save() | |
else: | |
# Temporarily turn off any data transformers so that all data is inlined | |
# when calling chart.to_dict. This is relevant for vl-convert which cannot access | |
# local json files which could be created by a json data transformer. Furthermore, | |
# we don't exit the with statement until this function completed due to the issue | |
# described at https://github.com/vega/vl-convert/issues/31 | |
with data_transformers.enable("default"), data_transformers.disable_max_rows(): | |
perform_save() | |