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from __future__ import annotations
import importlib
import sys
from typing import TYPE_CHECKING
import warnings
from pandas.util._exceptions import find_stack_level
from pandas.util.version import Version
if TYPE_CHECKING:
import types
# Update install.rst & setup.cfg when updating versions!
VERSIONS = {
"bs4": "4.11.1",
"blosc": "1.21.0",
"bottleneck": "1.3.4",
"dataframe-api-compat": "0.1.7",
"fastparquet": "0.8.1",
"fsspec": "2022.05.0",
"html5lib": "1.1",
"hypothesis": "6.46.1",
"gcsfs": "2022.05.0",
"jinja2": "3.1.2",
"lxml.etree": "4.8.0",
"matplotlib": "3.6.1",
"numba": "0.55.2",
"numexpr": "2.8.0",
"odfpy": "1.4.1",
"openpyxl": "3.0.10",
"pandas_gbq": "0.17.5",
"psycopg2": "2.9.3", # (dt dec pq3 ext lo64)
"pymysql": "1.0.2",
"pyarrow": "7.0.0",
"pyreadstat": "1.1.5",
"pytest": "7.3.2",
"pyxlsb": "1.0.9",
"s3fs": "2022.05.0",
"scipy": "1.8.1",
"sqlalchemy": "1.4.36",
"tables": "3.7.0",
"tabulate": "0.8.10",
"xarray": "2022.03.0",
"xlrd": "2.0.1",
"xlsxwriter": "3.0.3",
"zstandard": "0.17.0",
"tzdata": "2022.1",
"qtpy": "2.2.0",
"pyqt5": "5.15.6",
}
# A mapping from import name to package name (on PyPI) for packages where
# these two names are different.
INSTALL_MAPPING = {
"bs4": "beautifulsoup4",
"bottleneck": "Bottleneck",
"jinja2": "Jinja2",
"lxml.etree": "lxml",
"odf": "odfpy",
"pandas_gbq": "pandas-gbq",
"sqlalchemy": "SQLAlchemy",
"tables": "pytables",
}
def get_version(module: types.ModuleType) -> str:
version = getattr(module, "__version__", None)
if version is None:
raise ImportError(f"Can't determine version for {module.__name__}")
if module.__name__ == "psycopg2":
# psycopg2 appends " (dt dec pq3 ext lo64)" to it's version
version = version.split()[0]
return version
def import_optional_dependency(
name: str,
extra: str = "",
errors: str = "raise",
min_version: str | None = None,
):
"""
Import an optional dependency.
By default, if a dependency is missing an ImportError with a nice
message will be raised. If a dependency is present, but too old,
we raise.
Parameters
----------
name : str
The module name.
extra : str
Additional text to include in the ImportError message.
errors : str {'raise', 'warn', 'ignore'}
What to do when a dependency is not found or its version is too old.
* raise : Raise an ImportError
* warn : Only applicable when a module's version is to old.
Warns that the version is too old and returns None
* ignore: If the module is not installed, return None, otherwise,
return the module, even if the version is too old.
It's expected that users validate the version locally when
using ``errors="ignore"`` (see. ``io/html.py``)
min_version : str, default None
Specify a minimum version that is different from the global pandas
minimum version required.
Returns
-------
maybe_module : Optional[ModuleType]
The imported module, when found and the version is correct.
None is returned when the package is not found and `errors`
is False, or when the package's version is too old and `errors`
is ``'warn'``.
"""
assert errors in {"warn", "raise", "ignore"}
package_name = INSTALL_MAPPING.get(name)
install_name = package_name if package_name is not None else name
msg = (
f"Missing optional dependency '{install_name}'. {extra} "
f"Use pip or conda to install {install_name}."
)
try:
module = importlib.import_module(name)
except ImportError:
if errors == "raise":
raise ImportError(msg)
return None
# Handle submodules: if we have submodule, grab parent module from sys.modules
parent = name.split(".")[0]
if parent != name:
install_name = parent
module_to_get = sys.modules[install_name]
else:
module_to_get = module
minimum_version = min_version if min_version is not None else VERSIONS.get(parent)
if minimum_version:
version = get_version(module_to_get)
if version and Version(version) < Version(minimum_version):
msg = (
f"Pandas requires version '{minimum_version}' or newer of '{parent}' "
f"(version '{version}' currently installed)."
)
if errors == "warn":
warnings.warn(
msg,
UserWarning,
stacklevel=find_stack_level(),
)
return None
elif errors == "raise":
raise ImportError(msg)
return module