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| from __future__ import annotations | |
| from importlib.metadata import version as importlib_version | |
| from typing import TYPE_CHECKING | |
| from packaging.version import Version | |
| if TYPE_CHECKING: | |
| from types import ModuleType | |
| def import_vegafusion() -> ModuleType: | |
| min_version = "1.5.0" | |
| try: | |
| version = importlib_version("vegafusion") | |
| embed_version = importlib_version("vegafusion-python-embed") | |
| if version != embed_version or Version(version) < Version(min_version): | |
| msg = ( | |
| "The versions of the vegafusion and vegafusion-python-embed packages must match\n" | |
| f"and must be version {min_version} or greater.\n" | |
| f"Found:\n" | |
| f" - vegafusion=={version}\n" | |
| f" - vegafusion-python-embed=={embed_version}\n" | |
| ) | |
| raise RuntimeError(msg) | |
| import vegafusion as vf # type: ignore | |
| return vf | |
| except ImportError as err: | |
| msg = ( | |
| 'The "vegafusion" data transformer and chart.transformed_data feature requires\n' | |
| f"version {min_version} or greater of the 'vegafusion-python-embed' and 'vegafusion' packages.\n" | |
| "These can be installed with pip using:\n" | |
| f' pip install "vegafusion[embed]>={min_version}"\n' | |
| "Or with conda using:\n" | |
| f' conda install -c conda-forge "vegafusion-python-embed>={min_version}" ' | |
| f'"vegafusion>={min_version}"\n\n' | |
| f"ImportError: {err.args[0]}" | |
| ) | |
| raise ImportError(msg) from err | |
| def import_vl_convert() -> ModuleType: | |
| min_version = "1.6.0" | |
| try: | |
| version = importlib_version("vl-convert-python") | |
| if Version(version) < Version(min_version): | |
| msg = ( | |
| f"The vl-convert-python package must be version {min_version} or greater. " | |
| f"Found version {version}" | |
| ) | |
| raise RuntimeError(msg) | |
| import vl_convert as vlc | |
| return vlc | |
| except ImportError as err: | |
| msg = ( | |
| f"The vl-convert Vega-Lite compiler and file export feature requires\n" | |
| f"version {min_version} or greater of the 'vl-convert-python' package. \n" | |
| f"This can be installed with pip using:\n" | |
| f' pip install "vl-convert-python>={min_version}"\n' | |
| "or conda:\n" | |
| f' conda install -c conda-forge "vl-convert-python>={min_version}"\n\n' | |
| f"ImportError: {err.args[0]}" | |
| ) | |
| raise ImportError(msg) from err | |
| def vl_version_for_vl_convert() -> str: | |
| from altair.vegalite import SCHEMA_VERSION | |
| # Compute VlConvert's vl_version string (of the form 'v5_2') | |
| # from SCHEMA_VERSION (of the form 'v5.2.0') | |
| return "_".join(SCHEMA_VERSION.split(".")[:2]) | |
| def import_pyarrow_interchange() -> ModuleType: | |
| min_version = "11.0.0" | |
| try: | |
| version = importlib_version("pyarrow") | |
| if Version(version) < Version(min_version): | |
| msg = ( | |
| f"The pyarrow package must be version {min_version} or greater. " | |
| f"Found version {version}" | |
| ) | |
| raise RuntimeError(msg) | |
| import pyarrow.interchange as pi | |
| return pi | |
| except ImportError as err: | |
| msg = ( | |
| f"Usage of the DataFrame Interchange Protocol requires\n" | |
| f"version {min_version} or greater of the pyarrow package. \n" | |
| f"This can be installed with pip using:\n" | |
| f' pip install "pyarrow>={min_version}"\n' | |
| "or conda:\n" | |
| f' conda install -c conda-forge "pyarrow>={min_version}"\n\n' | |
| f"ImportError: {err.args[0]}" | |
| ) | |
| raise ImportError(msg) from err | |
| def pyarrow_available() -> bool: | |
| try: | |
| import_pyarrow_interchange() | |
| return True | |
| except (ImportError, RuntimeError): | |
| return False | |