mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-12-11 07:54:57 +01:00
230 lines
8.1 KiB
Python
230 lines
8.1 KiB
Python
|
""" Google BigQuery support """
|
||
|
|
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
|
||
|
|
|
||
|
|
from pandas.compat._optional import import_optional_dependency
|
||
|
|
|
||
|
|
if TYPE_CHECKING:
|
||
|
|
from pandas import DataFrame
|
||
|
|
|
||
|
|
|
||
|
|
def _try_import():
|
||
|
|
# since pandas is a dependency of pandas-gbq
|
||
|
|
# we need to import on first use
|
||
|
|
msg = (
|
||
|
|
"pandas-gbq is required to load data from Google BigQuery. "
|
||
|
|
"See the docs: https://pandas-gbq.readthedocs.io."
|
||
|
|
)
|
||
|
|
pandas_gbq = import_optional_dependency("pandas_gbq", extra=msg)
|
||
|
|
return pandas_gbq
|
||
|
|
|
||
|
|
|
||
|
|
def read_gbq(
|
||
|
|
query: str,
|
||
|
|
project_id: Optional[str] = None,
|
||
|
|
index_col: Optional[str] = None,
|
||
|
|
col_order: Optional[List[str]] = None,
|
||
|
|
reauth: bool = False,
|
||
|
|
auth_local_webserver: bool = False,
|
||
|
|
dialect: Optional[str] = None,
|
||
|
|
location: Optional[str] = None,
|
||
|
|
configuration: Optional[Dict[str, Any]] = None,
|
||
|
|
credentials=None,
|
||
|
|
use_bqstorage_api: Optional[bool] = None,
|
||
|
|
max_results: Optional[int] = None,
|
||
|
|
private_key=None,
|
||
|
|
verbose=None,
|
||
|
|
progress_bar_type: Optional[str] = None,
|
||
|
|
) -> "DataFrame":
|
||
|
|
"""
|
||
|
|
Load data from Google BigQuery.
|
||
|
|
|
||
|
|
This function requires the `pandas-gbq package
|
||
|
|
<https://pandas-gbq.readthedocs.io>`__.
|
||
|
|
|
||
|
|
See the `How to authenticate with Google BigQuery
|
||
|
|
<https://pandas-gbq.readthedocs.io/en/latest/howto/authentication.html>`__
|
||
|
|
guide for authentication instructions.
|
||
|
|
|
||
|
|
Parameters
|
||
|
|
----------
|
||
|
|
query : str
|
||
|
|
SQL-Like Query to return data values.
|
||
|
|
project_id : str, optional
|
||
|
|
Google BigQuery Account project ID. Optional when available from
|
||
|
|
the environment.
|
||
|
|
index_col : str, optional
|
||
|
|
Name of result column to use for index in results DataFrame.
|
||
|
|
col_order : list(str), optional
|
||
|
|
List of BigQuery column names in the desired order for results
|
||
|
|
DataFrame.
|
||
|
|
reauth : bool, default False
|
||
|
|
Force Google BigQuery to re-authenticate the user. This is useful
|
||
|
|
if multiple accounts are used.
|
||
|
|
auth_local_webserver : bool, default False
|
||
|
|
Use the `local webserver flow`_ instead of the `console flow`_
|
||
|
|
when getting user credentials.
|
||
|
|
|
||
|
|
.. _local webserver flow:
|
||
|
|
https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
|
||
|
|
.. _console flow:
|
||
|
|
https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
|
||
|
|
|
||
|
|
*New in version 0.2.0 of pandas-gbq*.
|
||
|
|
dialect : str, default 'legacy'
|
||
|
|
Note: The default value is changing to 'standard' in a future version.
|
||
|
|
|
||
|
|
SQL syntax dialect to use. Value can be one of:
|
||
|
|
|
||
|
|
``'legacy'``
|
||
|
|
Use BigQuery's legacy SQL dialect. For more information see
|
||
|
|
`BigQuery Legacy SQL Reference
|
||
|
|
<https://cloud.google.com/bigquery/docs/reference/legacy-sql>`__.
|
||
|
|
``'standard'``
|
||
|
|
Use BigQuery's standard SQL, which is
|
||
|
|
compliant with the SQL 2011 standard. For more information
|
||
|
|
see `BigQuery Standard SQL Reference
|
||
|
|
<https://cloud.google.com/bigquery/docs/reference/standard-sql/>`__.
|
||
|
|
|
||
|
|
.. versionchanged:: 0.24.0
|
||
|
|
location : str, optional
|
||
|
|
Location where the query job should run. See the `BigQuery locations
|
||
|
|
documentation
|
||
|
|
<https://cloud.google.com/bigquery/docs/dataset-locations>`__ for a
|
||
|
|
list of available locations. The location must match that of any
|
||
|
|
datasets used in the query.
|
||
|
|
|
||
|
|
*New in version 0.5.0 of pandas-gbq*.
|
||
|
|
configuration : dict, optional
|
||
|
|
Query config parameters for job processing.
|
||
|
|
For example:
|
||
|
|
|
||
|
|
configuration = {'query': {'useQueryCache': False}}
|
||
|
|
|
||
|
|
For more information see `BigQuery REST API Reference
|
||
|
|
<https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query>`__.
|
||
|
|
credentials : google.auth.credentials.Credentials, optional
|
||
|
|
Credentials for accessing Google APIs. Use this parameter to override
|
||
|
|
default credentials, such as to use Compute Engine
|
||
|
|
:class:`google.auth.compute_engine.Credentials` or Service Account
|
||
|
|
:class:`google.oauth2.service_account.Credentials` directly.
|
||
|
|
|
||
|
|
*New in version 0.8.0 of pandas-gbq*.
|
||
|
|
|
||
|
|
.. versionadded:: 0.24.0
|
||
|
|
use_bqstorage_api : bool, default False
|
||
|
|
Use the `BigQuery Storage API
|
||
|
|
<https://cloud.google.com/bigquery/docs/reference/storage/>`__ to
|
||
|
|
download query results quickly, but at an increased cost. To use this
|
||
|
|
API, first `enable it in the Cloud Console
|
||
|
|
<https://console.cloud.google.com/apis/library/bigquerystorage.googleapis.com>`__.
|
||
|
|
You must also have the `bigquery.readsessions.create
|
||
|
|
<https://cloud.google.com/bigquery/docs/access-control#roles>`__
|
||
|
|
permission on the project you are billing queries to.
|
||
|
|
|
||
|
|
This feature requires version 0.10.0 or later of the ``pandas-gbq``
|
||
|
|
package. It also requires the ``google-cloud-bigquery-storage`` and
|
||
|
|
``fastavro`` packages.
|
||
|
|
|
||
|
|
.. versionadded:: 0.25.0
|
||
|
|
max_results : int, optional
|
||
|
|
If set, limit the maximum number of rows to fetch from the query
|
||
|
|
results.
|
||
|
|
|
||
|
|
*New in version 0.12.0 of pandas-gbq*.
|
||
|
|
|
||
|
|
.. versionadded:: 1.1.0
|
||
|
|
progress_bar_type : Optional, str
|
||
|
|
If set, use the `tqdm <https://tqdm.github.io/>`__ library to
|
||
|
|
display a progress bar while the data downloads. Install the
|
||
|
|
``tqdm`` package to use this feature.
|
||
|
|
|
||
|
|
Possible values of ``progress_bar_type`` include:
|
||
|
|
|
||
|
|
``None``
|
||
|
|
No progress bar.
|
||
|
|
``'tqdm'``
|
||
|
|
Use the :func:`tqdm.tqdm` function to print a progress bar
|
||
|
|
to :data:`sys.stderr`.
|
||
|
|
``'tqdm_notebook'``
|
||
|
|
Use the :func:`tqdm.tqdm_notebook` function to display a
|
||
|
|
progress bar as a Jupyter notebook widget.
|
||
|
|
``'tqdm_gui'``
|
||
|
|
Use the :func:`tqdm.tqdm_gui` function to display a
|
||
|
|
progress bar as a graphical dialog box.
|
||
|
|
|
||
|
|
Note that his feature requires version 0.12.0 or later of the
|
||
|
|
``pandas-gbq`` package. And it requires the ``tqdm`` package. Slightly
|
||
|
|
different than ``pandas-gbq``, here the default is ``None``.
|
||
|
|
|
||
|
|
.. versionadded:: 1.0.0
|
||
|
|
|
||
|
|
Returns
|
||
|
|
-------
|
||
|
|
df: DataFrame
|
||
|
|
DataFrame representing results of query.
|
||
|
|
|
||
|
|
See Also
|
||
|
|
--------
|
||
|
|
pandas_gbq.read_gbq : This function in the pandas-gbq library.
|
||
|
|
DataFrame.to_gbq : Write a DataFrame to Google BigQuery.
|
||
|
|
"""
|
||
|
|
pandas_gbq = _try_import()
|
||
|
|
|
||
|
|
kwargs: Dict[str, Union[str, bool, int, None]] = {}
|
||
|
|
|
||
|
|
# START: new kwargs. Don't populate unless explicitly set.
|
||
|
|
if use_bqstorage_api is not None:
|
||
|
|
kwargs["use_bqstorage_api"] = use_bqstorage_api
|
||
|
|
if max_results is not None:
|
||
|
|
kwargs["max_results"] = max_results
|
||
|
|
|
||
|
|
kwargs["progress_bar_type"] = progress_bar_type
|
||
|
|
# END: new kwargs
|
||
|
|
|
||
|
|
return pandas_gbq.read_gbq(
|
||
|
|
query,
|
||
|
|
project_id=project_id,
|
||
|
|
index_col=index_col,
|
||
|
|
col_order=col_order,
|
||
|
|
reauth=reauth,
|
||
|
|
auth_local_webserver=auth_local_webserver,
|
||
|
|
dialect=dialect,
|
||
|
|
location=location,
|
||
|
|
configuration=configuration,
|
||
|
|
credentials=credentials,
|
||
|
|
**kwargs,
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
def to_gbq(
|
||
|
|
dataframe: "DataFrame",
|
||
|
|
destination_table: str,
|
||
|
|
project_id: Optional[str] = None,
|
||
|
|
chunksize: Optional[int] = None,
|
||
|
|
reauth: bool = False,
|
||
|
|
if_exists: str = "fail",
|
||
|
|
auth_local_webserver: bool = False,
|
||
|
|
table_schema: Optional[List[Dict[str, str]]] = None,
|
||
|
|
location: Optional[str] = None,
|
||
|
|
progress_bar: bool = True,
|
||
|
|
credentials=None,
|
||
|
|
verbose=None,
|
||
|
|
private_key=None,
|
||
|
|
) -> None:
|
||
|
|
pandas_gbq = _try_import()
|
||
|
|
pandas_gbq.to_gbq(
|
||
|
|
dataframe,
|
||
|
|
destination_table,
|
||
|
|
project_id=project_id,
|
||
|
|
chunksize=chunksize,
|
||
|
|
reauth=reauth,
|
||
|
|
if_exists=if_exists,
|
||
|
|
auth_local_webserver=auth_local_webserver,
|
||
|
|
table_schema=table_schema,
|
||
|
|
location=location,
|
||
|
|
progress_bar=progress_bar,
|
||
|
|
credentials=credentials,
|
||
|
|
verbose=verbose,
|
||
|
|
private_key=private_key,
|
||
|
|
)
|