fix: make pyarrow an optional dependency post-3.20.0 yanked release (…

…#1879)

* fix: make `pyarrow` an optional dependency again

* install older version of pyarrow

* fix for older tqdm

* remove many pragma: NO COVERs

google/cloud/bigquery/_pandas_helpers.py

@@ -32,7 +32,7 @@
     import pandas  # type: ignore
 
     pandas_import_exception = None
-except ImportError as exc:  # pragma: NO COVER
+except ImportError as exc:
     pandas = None
     pandas_import_exception = exc
 else:
@@ -44,25 +44,21 @@
     date_dtype_name = db_dtypes.DateDtype.name
     time_dtype_name = db_dtypes.TimeDtype.name
     db_dtypes_import_exception = None
-except ImportError as exc:  # pragma: NO COVER
+except ImportError as exc:
     db_dtypes = None
     db_dtypes_import_exception = exc
     date_dtype_name = time_dtype_name = ""  # Use '' rather than None because pytype
 
-pyarrow = _versions_helpers.PYARROW_VERSIONS.try_import(raise_if_error=True)
-from pyarrow import ArrowTypeError  # type: ignore # noqa: E402
-
-_BIGNUMERIC_SUPPORT = False
-if pyarrow is not None:  # pragma: NO COVER
-    _BIGNUMERIC_SUPPORT = True
+pyarrow = _versions_helpers.PYARROW_VERSIONS.try_import()
 
 try:
     # _BaseGeometry is used to detect shapely objevys in `bq_to_arrow_array`
     from shapely.geometry.base import BaseGeometry as _BaseGeometry  # type: ignore
-except ImportError:  # pragma: NO COVER
+except ImportError:
     # No shapely, use NoneType for _BaseGeometry as a placeholder.
     _BaseGeometry = type(None)
 else:
+    # We don't have any unit test sessions that install shapely but not pandas.
     if pandas is not None:  # pragma: NO COVER
 
         def _to_wkb():
@@ -309,10 +305,10 @@ def bq_to_arrow_array(series, bq_field):
         if field_type_upper in schema._STRUCT_TYPES:
             return pyarrow.StructArray.from_pandas(series, type=arrow_type)
         return pyarrow.Array.from_pandas(series, type=arrow_type)
-    except ArrowTypeError:  # pragma: NO COVER
+    except pyarrow.ArrowTypeError:
         msg = f"""Error converting Pandas column with name: "{series.name}" and datatype: "{series.dtype}" to an appropriate pyarrow datatype: Array, ListArray, or StructArray"""
         _LOGGER.error(msg)
-        raise ArrowTypeError(msg)
+        raise pyarrow.ArrowTypeError(msg)
 
 
 def get_column_or_index(dataframe, name):

google/cloud/bigquery/_pyarrow_helpers.py

@@ -20,7 +20,7 @@
 
 try:
     import pyarrow  # type: ignore
-except ImportError:  # pragma: NO COVER
+except ImportError:
     pyarrow = None
 
 
@@ -49,7 +49,7 @@ def pyarrow_timestamp():
 _BQ_TO_ARROW_SCALARS = {}
 _ARROW_SCALAR_IDS_TO_BQ = {}
 
-if pyarrow:  # pragma: NO COVER
+if pyarrow:
     # This dictionary is duplicated in bigquery_storage/test/unite/test_reader.py
     # When modifying it be sure to update it there as well.
     # Note(todo!!): type "BIGNUMERIC"'s matching pyarrow type is added in _pandas_helpers.py

google/cloud/bigquery/_tqdm_helpers.py

@@ -23,11 +23,14 @@
 
 try:
     import tqdm  # type: ignore
-    import tqdm.notebook as notebook  # type: ignore
-
-except ImportError:  # pragma: NO COVER
+except ImportError:
     tqdm = None
 
+try:
+    import tqdm.notebook as tqdm_notebook  # type: ignore
+except ImportError:
+    tqdm_notebook = None
+
 if typing.TYPE_CHECKING:  # pragma: NO COVER
     from google.cloud.bigquery import QueryJob
     from google.cloud.bigquery.table import RowIterator
@@ -42,7 +45,7 @@
 
 def get_progress_bar(progress_bar_type, description, total, unit):
     """Construct a tqdm progress bar object, if tqdm is installed."""
-    if tqdm is None:
+    if tqdm is None or tqdm_notebook is None and progress_bar_type == "tqdm_notebook":
         if progress_bar_type is not None:
             warnings.warn(_NO_TQDM_ERROR, UserWarning, stacklevel=3)
         return None
@@ -58,7 +61,7 @@ def get_progress_bar(progress_bar_type, description, total, unit):
                 unit=unit,
             )
         elif progress_bar_type == "tqdm_notebook":
-            return notebook.tqdm(
+            return tqdm_notebook.tqdm(
                 bar_format="{l_bar}{bar}|",
                 desc=description,
                 file=sys.stdout,

google/cloud/bigquery/_versions_helpers.py

@@ -73,7 +73,7 @@ def try_import(self, raise_if_error: bool = False) -> Any:
         """
         try:
             import pyarrow
-        except ImportError as exc:  # pragma: NO COVER
+        except ImportError as exc:
             if raise_if_error:
                 raise exceptions.LegacyPyarrowError(
                     "pyarrow package not found. Install pyarrow version >="
@@ -212,7 +212,7 @@ def try_import(self, raise_if_error: bool = False) -> Any:
         """
         try:
             import pandas
-        except ImportError as exc:  # pragma: NO COVER
+        except ImportError as exc:
             if raise_if_error:
                 raise exceptions.LegacyPandasError(
                     "pandas package not found. Install pandas version >="

google/cloud/bigquery/job/query.py

@@ -56,14 +56,9 @@
 
 try:
     import pandas  # type: ignore
-except ImportError:  # pragma: NO COVER
+except ImportError:
     pandas = None
 
-try:
-    import db_dtypes  # type: ignore
-except ImportError:  # pragma: NO COVER
-    db_dtypes = None
-
 if typing.TYPE_CHECKING:  # pragma: NO COVER
     # Assumption: type checks are only used by library developers and CI environments
     # that have all optional dependencies installed, thus no conditional imports.

google/cloud/bigquery/magics/magics.py

@@ -95,7 +95,7 @@
     import IPython  # type: ignore
     from IPython import display  # type: ignore
     from IPython.core import magic_arguments  # type: ignore
-except ImportError:  # pragma: NO COVER
+except ImportError:
     raise ImportError("This module can only be loaded in IPython.")
 
 from google.api_core import client_info

google/cloud/bigquery/table.py

@@ -26,17 +26,17 @@
 
 try:
     import pandas  # type: ignore
-except ImportError:  # pragma: NO COVER
+except ImportError:
     pandas = None
 
 try:
     import pyarrow  # type: ignore
-except ImportError:  # pragma: NO COVER
+except ImportError:
     pyarrow = None
 
 try:
     import db_dtypes  # type: ignore
-except ImportError:  # pragma: NO COVER
+except ImportError:
     db_dtypes = None
 
 try:

noxfile.py

@@ -86,7 +86,7 @@ def default(session, install_extras=True):
         install_target = ".[all]"
     else:
         install_target = "."
-    session.install("-e", install_target)
+    session.install("-e", install_target, "-c", constraints_path)
     session.run("python", "-m", "pip", "freeze")
 
     # Run py.test against the unit tests.
@@ -115,14 +115,15 @@ def unit(session):
 def unit_noextras(session):
     """Run the unit test suite."""
 
-    # Install optional dependencies that are out-of-date.
+    # Install optional dependencies that are out-of-date to see that
+    # we fail gracefully.
     # https://github.com/googleapis/python-bigquery/issues/933
-    # There is no pyarrow 1.0.0 package for Python 3.9.
-
+    #
+    # We only install this extra package on one of the two Python versions
+    # so that it continues to be an optional dependency.
+    # https://github.com/googleapis/python-bigquery/issues/1877
     if session.python == UNIT_TEST_PYTHON_VERSIONS[0]:
-        session.install("pyarrow>=3.0.0")
-    elif session.python == UNIT_TEST_PYTHON_VERSIONS[-1]:
-        session.install("pyarrow")
+        session.install("pyarrow==1.0.0")
 
     default(session, install_extras=False)
 

samples/desktopapp/requirements-test.txt

@@ -2,4 +2,3 @@ google-cloud-testutils==1.4.0
 pytest===7.4.4; python_version == '3.7'
 pytest==8.1.1; python_version >= '3.8'
 mock==5.1.0
-pyarrow>=3.0.0

samples/snippets/requirements-test.txt

@@ -1,5 +1,5 @@
+# samples/snippets should be runnable with no "extras"
 google-cloud-testutils==1.4.0
 pytest===7.4.4; python_version == '3.7'
 pytest==8.1.1; python_version >= '3.8'
 mock==5.1.0
-pyarrow>=3.0.0

samples/snippets/requirements.txt

@@ -1 +1,2 @@
-google-cloud-bigquery==3.19.0
+# samples/snippets should be runnable with no "extras"
+google-cloud-bigquery==3.19.0

testing/constraints-3.11.txt

@@ -1 +0,0 @@
-pyarrow>=3.0.0

testing/constraints-3.12.txt

@@ -1 +0,0 @@
-pyarrow>=3.0.0

testing/constraints-3.7.txt

@@ -27,9 +27,9 @@ packaging==20.0.0
 pandas==1.1.0
 proto-plus==1.22.0
 protobuf==3.19.5
-pyarrow>=3.0.0
+pyarrow==3.0.0
 python-dateutil==2.7.3
 requests==2.21.0
 Shapely==1.8.4
 six==1.13.0
-tqdm==4.7.4
+tqdm==4.7.4

tests/unit/job/test_query_pandas.py

@@ -19,53 +19,38 @@
 
 import pytest
 
+from ..helpers import make_connection
+from .helpers import _make_client
+from .helpers import _make_job_resource
 
 try:
     from google.cloud import bigquery_storage
     import google.cloud.bigquery_storage_v1.reader
     import google.cloud.bigquery_storage_v1.services.big_query_read.client
-except (ImportError, AttributeError):  # pragma: NO COVER
+except (ImportError, AttributeError):
     bigquery_storage = None
 
-try:
-    import pandas
-except (ImportError, AttributeError):  # pragma: NO COVER
-    pandas = None
 try:
     import shapely
-except (ImportError, AttributeError):  # pragma: NO COVER
+except (ImportError, AttributeError):
     shapely = None
 try:
     import geopandas
-except (ImportError, AttributeError):  # pragma: NO COVER
+except (ImportError, AttributeError):
     geopandas = None
 try:
     import tqdm
-except (ImportError, AttributeError):  # pragma: NO COVER
+except (ImportError, AttributeError):
     tqdm = None
 
-try:
-    import importlib.metadata as metadata
-except ImportError:
-    import importlib_metadata as metadata
-
-from ..helpers import make_connection
-from .helpers import _make_client
-from .helpers import _make_job_resource
-
-if pandas is not None:
-    PANDAS_INSTALLED_VERSION = metadata.version("pandas")
-else:
-    PANDAS_INSTALLED_VERSION = "0.0.0"
-
-pandas = pytest.importorskip("pandas")
-
 try:
     import pyarrow
     import pyarrow.types
-except ImportError:  # pragma: NO COVER
+except ImportError:
     pyarrow = None
 
+pandas = pytest.importorskip("pandas")
+
 
 @pytest.fixture
 def table_read_options_kwarg():
@@ -660,7 +645,10 @@ def test_to_dataframe_bqstorage_no_pyarrow_compression():
     )
 
 
-@pytest.mark.skipif(PANDAS_INSTALLED_VERSION[0:2] not in ["0.", "1."], reason="")
+@pytest.mark.skipif(
+    pandas.__version__.startswith("2."),
+    reason="pandas 2.0 changes some default dtypes and we haven't update the test to account for those",
+)
 @pytest.mark.skipif(pyarrow is None, reason="Requires `pyarrow`")
 def test_to_dataframe_column_dtypes():
     from google.cloud.bigquery.job import QueryJob as target_class

tests/unit/test__pandas_helpers.py

@@ -30,12 +30,12 @@
     import pandas
     import pandas.api.types
     import pandas.testing
-except ImportError:  # pragma: NO COVER
+except ImportError:
     pandas = None
 
 try:
     import geopandas
-except ImportError:  # pragma: NO COVER
+except ImportError:
     geopandas = None
 
 import pytest
@@ -46,18 +46,19 @@
 from google.cloud.bigquery import _pyarrow_helpers
 from google.cloud.bigquery import _versions_helpers
 from google.cloud.bigquery import schema
-from google.cloud.bigquery._pandas_helpers import _BIGNUMERIC_SUPPORT
 
 pyarrow = _versions_helpers.PYARROW_VERSIONS.try_import()
 
 if pyarrow:
     import pyarrow.parquet
     import pyarrow.types
-    from pyarrow import ArrowTypeError  # type: ignore # noqa: E402
-else:  # pragma: NO COVER
+
+    _BIGNUMERIC_SUPPORT = True
+else:
     # Mock out pyarrow when missing, because methods from pyarrow.types are
     # used in test parameterization.
     pyarrow = mock.Mock()
+    _BIGNUMERIC_SUPPORT = False
 
 bigquery_storage = _versions_helpers.BQ_STORAGE_VERSIONS.try_import()
 
@@ -572,9 +573,9 @@ def test_bq_to_arrow_array_w_conversion_fail(module_under_test):  # pragma: NO C
     series = pandas.Series(rows, name="test_col", dtype="object")
     bq_field = schema.SchemaField("field_name", "STRING", mode="REPEATED")
     exc_msg = f"""Error converting Pandas column with name: "{series.name}" and datatype: "{series.dtype}" to an appropriate pyarrow datatype: Array, ListArray, or StructArray"""
-    with pytest.raises(ArrowTypeError, match=exc_msg):
+    with pytest.raises(pyarrow.ArrowTypeError, match=exc_msg):
         module_under_test.bq_to_arrow_array(series, bq_field)
-        raise ArrowTypeError(exc_msg)
+        raise pyarrow.ArrowTypeError(exc_msg)
 
 
 @pytest.mark.parametrize("bq_type", ["RECORD", "record", "STRUCT", "struct"])