Python Client for Google Cloud Storage
======================================
|stable| |pypi| |versions|
`Google Cloud Storage`_ is a managed service for storing unstructured data. Cloud Storage
allows world-wide storage and retrieval of any amount of data at any time. You can use
Cloud Storage for a range of scenarios including serving website content, storing data
for archival and disaster recovery, or distributing large data objects to users via direct download.
A comprehensive list of changes in each version may be found in the `CHANGELOG`_.
- `Product Documentation`_
- `Client Library Documentation`_
- `github.com/googleapis/python-storage`_
Certain control plane and long-running operations for Cloud Storage (including Folder
and Managed Folder operations) are supported via the `Storage Control Client`_.
The `Storage Control API`_ creates one space to perform metadata-specific, control plane,
and long-running operations apart from the Storage API.
Read more about the client libraries for Cloud APIs, including the older
Google APIs Client Libraries, in `Client Libraries Explained`_.
.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg
:target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels
.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-storage.svg
:target: https://pypi.org/project/google-cloud-storage/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-storage.svg
:target: https://pypi.org/project/google-cloud-storage/
.. _Google Cloud Storage: https://cloud.google.com/storage
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/storage/latest
.. _Product Documentation: https://cloud.google.com/storage
.. _CHANGELOG: https://github.com/googleapis/python-storage/blob/main/CHANGELOG.md
.. _github.com/googleapis/python-storage: https://github.com/googleapis/python-storage
.. _Storage Control Client: https://cloud.google.com/python/docs/reference/google-cloud-storage-control/latest
.. _Storage Control API: https://cloud.google.com/storage/docs/reference/rpc/google.storage.control.v2
.. _Client Libraries Explained: https://cloud.google.com/apis/docs/client-libraries-explained
Quick Start
-----------
In order to use this library, you first need to go through the following steps.
A step-by-step guide may also be found in `Get Started with Client Libraries`_.
1. `Select or create a Cloud Platform project.`_
2. `Enable billing for your project.`_
3. `Enable the Google Cloud Storage API.`_
4. `Setup Authentication.`_
.. _Get Started with Client Libraries: https://cloud.google.com/storage/docs/reference/libraries#client-libraries-install-python
.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
.. _Enable the Google Cloud Storage API.: https://console.cloud.google.com/flows/enableapi?apiid=storage-api.googleapis.com
.. _Setup Authentication.: https://cloud.google.com/docs/authentication/client-libraries
Installation
~~~~~~~~~~~~
Install this library in a virtual environment using `venv`_. `venv`_ is a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project's dependencies
from the dependencies of other projects.
With `venv`_, it's possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.
.. _`venv`: https://docs.python.org/3/library/venv.html
Code samples and snippets
~~~~~~~~~~~~~~~~~~~~~~~~~
Code samples and snippets live in the `samples/`_ folder.
.. _`samples/`: https://github.com/googleapis/python-storage/tree/main/samples
Supported Python Versions
^^^^^^^^^^^^^^^^^^^^^^^^^
Our client libraries are compatible with all current `active`_ and `maintenance`_ versions of
Python.
Python >= 3.7
.. _active: https://devguide.python.org/devcycle/#in-development-main-branch
.. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches
Unsupported Python Versions
^^^^^^^^^^^^^^^^^^^^^^^^^^^
Python <= 3.6
If you are using an `end-of-life`_
version of Python, we recommend that you update as soon as possible to an actively supported version.
.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches
Mac/Linux
^^^^^^^^^
.. code-block:: console
python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-storage
Windows
^^^^^^^
.. code-block:: console
py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-storage
Tracing With OpenTelemetry
~~~~~~~~~~~~~~~~~~~~~~~~~~
This is a PREVIEW FEATURE: Coverage and functionality are still in development and subject to change.
This library can be configured to use `OpenTelemetry`_ to generate traces on calls to Google Cloud Storage.
For information on the benefits and utility of tracing, read the `Cloud Trace Overview <https://cloud.google.com/trace/docs/overview>`_.
To enable OpenTelemetry tracing in the Cloud Storage client, first install OpenTelemetry:
.. code-block:: console
pip install google-cloud-storage[tracing]
Set the ``ENABLE_GCS_PYTHON_CLIENT_OTEL_TRACES`` environment variable to selectively opt-in tracing for the Cloud Storage client:
.. code-block:: console
export ENABLE_GCS_PYTHON_CLIENT_OTEL_TRACES=True
You will also need to tell OpenTelemetry which exporter to use. An example to export traces to Google Cloud Trace can be found below.
.. code-block:: console
# Install the Google Cloud Trace exporter and propagator, however you can use any exporter of your choice.
pip install opentelemetry-exporter-gcp-trace opentelemetry-propagator-gcp
# [Optional] Install the OpenTelemetry Requests Instrumentation to trace the underlying HTTP requests.
pip install opentelemetry-instrumentation-requests
.. code-block:: python
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter
tracer_provider = TracerProvider()
tracer_provider.add_span_processor(BatchSpanProcessor(CloudTraceSpanExporter()))
trace.set_tracer_provider(tracer_provider)
# Optional yet recommended to instrument the requests HTTP library
from opentelemetry.instrumentation.requests import RequestsInstrumentor
RequestsInstrumentor().instrument(tracer_provider=tracer_provider)
In this example, tracing data will be published to the `Google Cloud Trace`_ console.
Tracing is most effective when many libraries are instrumented to provide insight over the entire lifespan of a request.
For a list of libraries that can be instrumented, refer to the `OpenTelemetry Registry`_.
.. _OpenTelemetry: https://opentelemetry.io
.. _OpenTelemetry Registry: https://opentelemetry.io/ecosystem/registry
.. _Google Cloud Trace: https://cloud.google.com/trace
Next Steps
~~~~~~~~~~
- Read the `Google Cloud Storage Product documentation`_ to learn
more about the product and see How-to Guides.
- Read the `Client Library Documentation`_ for Google Cloud Storage API
to see other available methods on the client.
- View this `README`_ to see the full list of Cloud
APIs that we cover.
.. _Google Cloud Storage Product documentation: https://cloud.google.com/storage
.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst
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"description": "Python Client for Google Cloud Storage\n======================================\n\n|stable| |pypi| |versions|\n\n`Google Cloud Storage`_ is a managed service for storing unstructured data. Cloud Storage\nallows world-wide storage and retrieval of any amount of data at any time. You can use\nCloud Storage for a range of scenarios including serving website content, storing data\nfor archival and disaster recovery, or distributing large data objects to users via direct download.\n\nA comprehensive list of changes in each version may be found in the `CHANGELOG`_.\n\n- `Product Documentation`_\n- `Client Library Documentation`_\n- `github.com/googleapis/python-storage`_\n\nCertain control plane and long-running operations for Cloud Storage (including Folder\nand Managed Folder operations) are supported via the `Storage Control Client`_.\nThe `Storage Control API`_ creates one space to perform metadata-specific, control plane,\nand long-running operations apart from the Storage API.\n\nRead more about the client libraries for Cloud APIs, including the older\nGoogle APIs Client Libraries, in `Client Libraries Explained`_.\n\n.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg\n :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels\n.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-storage.svg\n :target: https://pypi.org/project/google-cloud-storage/\n.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-storage.svg\n :target: https://pypi.org/project/google-cloud-storage/\n.. _Google Cloud Storage: https://cloud.google.com/storage\n.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/storage/latest\n.. _Product Documentation: https://cloud.google.com/storage\n.. _CHANGELOG: https://github.com/googleapis/python-storage/blob/main/CHANGELOG.md\n.. _github.com/googleapis/python-storage: https://github.com/googleapis/python-storage\n.. _Storage Control Client: https://cloud.google.com/python/docs/reference/google-cloud-storage-control/latest\n.. _Storage Control API: https://cloud.google.com/storage/docs/reference/rpc/google.storage.control.v2\n.. _Client Libraries Explained: https://cloud.google.com/apis/docs/client-libraries-explained\n\nQuick Start\n-----------\n\nIn order to use this library, you first need to go through the following steps.\nA step-by-step guide may also be found in `Get Started with Client Libraries`_.\n\n1. `Select or create a Cloud Platform project.`_\n2. `Enable billing for your project.`_\n3. `Enable the Google Cloud Storage API.`_\n4. `Setup Authentication.`_\n\n.. _Get Started with Client Libraries: https://cloud.google.com/storage/docs/reference/libraries#client-libraries-install-python\n.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project\n.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project\n.. _Enable the Google Cloud Storage API.: https://console.cloud.google.com/flows/enableapi?apiid=storage-api.googleapis.com\n.. _Setup Authentication.: https://cloud.google.com/docs/authentication/client-libraries\n\nInstallation\n~~~~~~~~~~~~\n\nInstall this library in a virtual environment using `venv`_. `venv`_ is a tool that\ncreates isolated Python environments. These isolated environments can have separate\nversions of Python packages, which allows you to isolate one project's dependencies\nfrom the dependencies of other projects.\n\nWith `venv`_, it's possible to install this library without needing system\ninstall permissions, and without clashing with the installed system\ndependencies.\n\n.. _`venv`: https://docs.python.org/3/library/venv.html\n\n\nCode samples and snippets\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCode samples and snippets live in the `samples/`_ folder.\n\n.. _`samples/`: https://github.com/googleapis/python-storage/tree/main/samples\n\n\nSupported Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^\nOur client libraries are compatible with all current `active`_ and `maintenance`_ versions of\nPython.\n\nPython >= 3.7\n\n.. _active: https://devguide.python.org/devcycle/#in-development-main-branch\n.. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches\n\nUnsupported Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^^^\nPython <= 3.6\n\nIf you are using an `end-of-life`_\nversion of Python, we recommend that you update as soon as possible to an actively supported version.\n\n.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches\n\nMac/Linux\n^^^^^^^^^\n\n.. code-block:: console\n\n python3 -m venv <your-env>\n source <your-env>/bin/activate\n pip install google-cloud-storage\n\n\nWindows\n^^^^^^^\n\n.. code-block:: console\n\n py -m venv <your-env>\n .\\<your-env>\\Scripts\\activate\n pip install google-cloud-storage\n\n\nTracing With OpenTelemetry\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThis is a PREVIEW FEATURE: Coverage and functionality are still in development and subject to change.\n\nThis library can be configured to use `OpenTelemetry`_ to generate traces on calls to Google Cloud Storage.\nFor information on the benefits and utility of tracing, read the `Cloud Trace Overview <https://cloud.google.com/trace/docs/overview>`_.\n\nTo enable OpenTelemetry tracing in the Cloud Storage client, first install OpenTelemetry:\n\n.. code-block:: console\n\n pip install google-cloud-storage[tracing]\n\nSet the ``ENABLE_GCS_PYTHON_CLIENT_OTEL_TRACES`` environment variable to selectively opt-in tracing for the Cloud Storage client:\n\n.. code-block:: console\n\n export ENABLE_GCS_PYTHON_CLIENT_OTEL_TRACES=True\n\nYou will also need to tell OpenTelemetry which exporter to use. An example to export traces to Google Cloud Trace can be found below.\n\n.. code-block:: console\n\n # Install the Google Cloud Trace exporter and propagator, however you can use any exporter of your choice.\n pip install opentelemetry-exporter-gcp-trace opentelemetry-propagator-gcp\n\n # [Optional] Install the OpenTelemetry Requests Instrumentation to trace the underlying HTTP requests.\n pip install opentelemetry-instrumentation-requests\n\n.. code-block:: python\n\n from opentelemetry import trace\n from opentelemetry.sdk.trace import TracerProvider\n from opentelemetry.sdk.trace.export import BatchSpanProcessor\n from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter\n\n tracer_provider = TracerProvider()\n tracer_provider.add_span_processor(BatchSpanProcessor(CloudTraceSpanExporter()))\n trace.set_tracer_provider(tracer_provider)\n\n # Optional yet recommended to instrument the requests HTTP library\n from opentelemetry.instrumentation.requests import RequestsInstrumentor\n RequestsInstrumentor().instrument(tracer_provider=tracer_provider)\n\nIn this example, tracing data will be published to the `Google Cloud Trace`_ console.\nTracing is most effective when many libraries are instrumented to provide insight over the entire lifespan of a request.\nFor a list of libraries that can be instrumented, refer to the `OpenTelemetry Registry`_.\n\n.. _OpenTelemetry: https://opentelemetry.io\n.. _OpenTelemetry Registry: https://opentelemetry.io/ecosystem/registry\n.. _Google Cloud Trace: https://cloud.google.com/trace\n\n\nNext Steps\n~~~~~~~~~~\n\n- Read the `Google Cloud Storage Product documentation`_ to learn\n more about the product and see How-to Guides.\n- Read the `Client Library Documentation`_ for Google Cloud Storage API\n to see other available methods on the client.\n- View this `README`_ to see the full list of Cloud\n APIs that we cover.\n\n.. _Google Cloud Storage Product documentation: https://cloud.google.com/storage\n.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst\n",
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