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fix: allow google-cloud-storage 3.x #13587

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89 changes: 89 additions & 0 deletions packages/google-cloud-automl/README.rst
Original file line number Diff line number Diff line change
Expand Up @@ -106,3 +106,92 @@ Next Steps

.. _Cloud AutoML Product documentation: https://cloud.google.com/automl/docs/
.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst

Logging
-------

This library uses the standard Python :code:`logging` functionality to log some RPC events that could be of interest for debugging and monitoring purposes.
Note the following:

#. Logs may contain sensitive information. Take care to **restrict access to the logs** if they are saved, whether it be on local storage or on Google Cloud Logging.
#. Google may refine the occurrence, level, and content of various log messages in this library without flagging such changes as breaking. **Do not depend on immutability of the logging events**.
#. By default, the logging events from this library are not handled. You must **explicitly configure log handling** using one of the mechanisms below.

Simple, environment-based configuration
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

To enable logging for this library without any changes in your code, set the :code:`GOOGLE_SDK_PYTHON_LOGGING_SCOPE` environment variable to a valid Google
logging scope. This configures handling of logging events (at level :code:`logging.DEBUG` or higher) from this library in a default manner, emitting the logged
messages in a structured format. It does not currently allow customizing the logging levels captured nor the handlers, formatters, etc. used for any logging
event.

A logging scope is a period-separated namespace that begins with :code:`google`, identifying the Python module or package to log.

- Valid logging scopes: :code:`google`, :code:`google.cloud.asset.v1`, :code:`google.api`, :code:`google.auth`, etc.
- Invalid logging scopes: :code:`foo`, :code:`123`, etc.

**NOTE**: If the logging scope is invalid, the library does not set up any logging handlers.

Environment-Based Examples
^^^^^^^^^^^^^^^^^^^^^^^^^^

- Enabling the default handler for all Google-based loggers

.. code-block:: console

export GOOGLE_SDK_PYTHON_LOGGING_SCOPE=google

- Enabling the default handler for a specific Google module (for a client library called :code:`library_v1`):

.. code-block:: console

export GOOGLE_SDK_PYTHON_LOGGING_SCOPE=google.cloud.library_v1


Advanced, code-based configuration
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

You can also configure a valid logging scope using Python's standard `logging` mechanism.

Code-Based Examples
^^^^^^^^^^^^^^^^^^^

- Configuring a handler for all Google-based loggers

.. code-block:: python

import logging

from google.cloud.translate_v3 import translate

base_logger = logging.getLogger("google")
base_logger.addHandler(logging.StreamHandler())
base_logger.setLevel(logging.DEBUG)

- Configuring a handler for a specific Google module (for a client library called :code:`library_v1`):

.. code-block:: python

import logging

from google.cloud.translate_v3 import translate

base_logger = logging.getLogger("google.cloud.library_v1")
base_logger.addHandler(logging.StreamHandler())
base_logger.setLevel(logging.DEBUG)

Logging details
~~~~~~~~~~~~~~~

#. Regardless of which of the mechanisms above you use to configure logging for this library, by default logging events are not propagated up to the root
logger from the `google`-level logger. If you need the events to be propagated to the root logger, you must explicitly set
:code:`logging.getLogger("google").propagate = True` in your code.
#. You can mix the different logging configurations above for different Google modules. For example, you may want use a code-based logging configuration for
one library, but decide you need to also set up environment-based logging configuration for another library.

#. If you attempt to use both code-based and environment-based configuration for the same module, the environment-based configuration will be ineffectual
if the code -based configuration gets applied first.

#. The Google-specific logging configurations (default handlers for environment-based configuration; not propagating logging events to the root logger) get
executed the first time *any* client library is instantiated in your application, and only if the affected loggers have not been previously configured.
(This is the reason for 2.i. above.)
2 changes: 1 addition & 1 deletion packages/google-cloud-automl/setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@
extras = {
"libcst": "libcst >= 0.2.5",
"pandas": ["pandas>=1.0.5"],
"storage": ["google-cloud-storage >=1.18.0, <3.0.0dev"],
"storage": ["google-cloud-storage >=1.18.0, <4.0.0dev"],
}

url = "https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-automl"
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Original file line number Diff line number Diff line change
Expand Up @@ -198,7 +198,7 @@ replacements:
extras = {
"libcst": "libcst >= 0.2.5",
"pandas": ["pandas>=1.0.5"],
"storage": ["google-cloud-storage >=1.18.0, <3.0.0dev"],
"storage": ["google-cloud-storage >=1.18.0, <4.0.0dev"],
}
count: 1
- paths: [
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