# Copyright 2023 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Shared helper functions for verifying versions of installed modules.""" import sys from typing import Any import packaging.version from google.cloud.bigquery import exceptions _MIN_PYARROW_VERSION = packaging.version.Version("3.0.0") _MIN_BQ_STORAGE_VERSION = packaging.version.Version("2.0.0") _BQ_STORAGE_OPTIONAL_READ_SESSION_VERSION = packaging.version.Version("2.6.0") _MIN_PANDAS_VERSION = packaging.version.Version("1.1.0") _MIN_PANDAS_VERSION_RANGE = packaging.version.Version("1.5.0") _MIN_PYARROW_VERSION_RANGE = packaging.version.Version("10.0.1") class PyarrowVersions: """Version comparisons for pyarrow package.""" def __init__(self): self._installed_version = None @property def installed_version(self) -> packaging.version.Version: """Return the parsed version of pyarrow.""" if self._installed_version is None: import pyarrow # type: ignore self._installed_version = packaging.version.parse( # Use 0.0.0, since it is earlier than any released version. # Legacy versions also have the same property, but # creating a LegacyVersion has been deprecated. # https://github.com/pypa/packaging/issues/321 getattr(pyarrow, "__version__", "0.0.0") ) return self._installed_version @property def use_compliant_nested_type(self) -> bool: return self.installed_version.major >= 4 def try_import(self, raise_if_error: bool = False) -> Any: """Verifies that a recent enough version of pyarrow extra is installed. The function assumes that pyarrow extra is installed, and should thus be used in places where this assumption holds. Because `pip` can install an outdated version of this extra despite the constraints in `setup.py`, the calling code can use this helper to verify the version compatibility at runtime. Returns: The ``pyarrow`` module or ``None``. Raises: exceptions.LegacyPyarrowError: If the pyarrow package is outdated and ``raise_if_error`` is ``True``. """ try: import pyarrow except ImportError as exc: if raise_if_error: raise exceptions.LegacyPyarrowError( "pyarrow package not found. Install pyarrow version >=" f" {_MIN_PYARROW_VERSION}." ) from exc return None if self.installed_version < _MIN_PYARROW_VERSION: if raise_if_error: msg = ( "Dependency pyarrow is outdated, please upgrade" f" it to version >= {_MIN_PYARROW_VERSION}" f" (version found: {self.installed_version})." ) raise exceptions.LegacyPyarrowError(msg) return None return pyarrow PYARROW_VERSIONS = PyarrowVersions() class BQStorageVersions: """Version comparisons for google-cloud-bigqueyr-storage package.""" def __init__(self): self._installed_version = None @property def installed_version(self) -> packaging.version.Version: """Return the parsed version of google-cloud-bigquery-storage.""" if self._installed_version is None: from google.cloud import bigquery_storage self._installed_version = packaging.version.parse( # Use 0.0.0, since it is earlier than any released version. # Legacy versions also have the same property, but # creating a LegacyVersion has been deprecated. # https://github.com/pypa/packaging/issues/321 getattr(bigquery_storage, "__version__", "0.0.0") ) return self._installed_version # type: ignore @property def is_read_session_optional(self) -> bool: """True if read_session is optional to rows(). See: https://github.com/googleapis/python-bigquery-storage/pull/228 """ return self.installed_version >= _BQ_STORAGE_OPTIONAL_READ_SESSION_VERSION def try_import(self, raise_if_error: bool = False) -> Any: """Tries to import the bigquery_storage module, and returns results accordingly. It also verifies the module version is recent enough. If the import succeeds, returns the ``bigquery_storage`` module. If the import fails, returns ``None`` when ``raise_if_error == False``, raises Error when ``raise_if_error == True``. Returns: The ``bigquery_storage`` module or ``None``. Raises: exceptions.BigQueryStorageNotFoundError: If google-cloud-bigquery-storage is not installed exceptions.LegacyBigQueryStorageError: If google-cloud-bigquery-storage package is outdated """ try: from google.cloud import bigquery_storage # type: ignore except ImportError: if raise_if_error: msg = ( "Package google-cloud-bigquery-storage not found. " "Install google-cloud-bigquery-storage version >= " f"{_MIN_BQ_STORAGE_VERSION}." ) raise exceptions.BigQueryStorageNotFoundError(msg) return None if self.installed_version < _MIN_BQ_STORAGE_VERSION: if raise_if_error: msg = ( "Dependency google-cloud-bigquery-storage is outdated, " f"please upgrade it to version >= {_MIN_BQ_STORAGE_VERSION} " f"(version found: {self.installed_version})." ) raise exceptions.LegacyBigQueryStorageError(msg) return None return bigquery_storage BQ_STORAGE_VERSIONS = BQStorageVersions() class PandasVersions: """Version comparisons for pandas package.""" def __init__(self): self._installed_version = None @property def installed_version(self) -> packaging.version.Version: """Return the parsed version of pandas""" if self._installed_version is None: import pandas # type: ignore self._installed_version = packaging.version.parse( # Use 0.0.0, since it is earlier than any released version. # Legacy versions also have the same property, but # creating a LegacyVersion has been deprecated. # https://github.com/pypa/packaging/issues/321 getattr(pandas, "__version__", "0.0.0") ) return self._installed_version def try_import(self, raise_if_error: bool = False) -> Any: """Verify that a recent enough version of pandas extra is installed. The function assumes that pandas extra is installed, and should thus be used in places where this assumption holds. Because `pip` can install an outdated version of this extra despite the constraints in `setup.py`, the calling code can use this helper to verify the version compatibility at runtime. Returns: The ``pandas`` module or ``None``. Raises: exceptions.LegacyPandasError: If the pandas package is outdated and ``raise_if_error`` is ``True``. """ try: import pandas except ImportError as exc: if raise_if_error: raise exceptions.LegacyPandasError( "pandas package not found. Install pandas version >=" f" {_MIN_PANDAS_VERSION}" ) from exc return None if self.installed_version < _MIN_PANDAS_VERSION: if raise_if_error: msg = ( "Dependency pandas is outdated, please upgrade" f" it to version >= {_MIN_PANDAS_VERSION}" f" (version found: {self.installed_version})." ) raise exceptions.LegacyPandasError(msg) return None return pandas PANDAS_VERSIONS = PandasVersions() # Since RANGE support in pandas requires specific versions # of both pyarrow and pandas, we make this a separate # constant instead of as a property of PANDAS_VERSIONS # or PYARROW_VERSIONS. SUPPORTS_RANGE_PYARROW = ( PANDAS_VERSIONS.try_import() is not None and PANDAS_VERSIONS.installed_version >= _MIN_PANDAS_VERSION_RANGE and PYARROW_VERSIONS.try_import() is not None and PYARROW_VERSIONS.installed_version >= _MIN_PYARROW_VERSION_RANGE ) def extract_runtime_version(): # Retrieve the version information version_info = sys.version_info # Extract the major, minor, and micro components major = version_info.major minor = version_info.minor micro = version_info.micro # Display the version number in a clear format return major, minor, micro