Migration: dry run of steps 6-8

packages/bigframes/.repo-metadata.json

@@ -1,16 +1,14 @@
 {
-    "name": "bigframes",
-    "name_pretty": "A unified Python API in BigQuery",
-    "product_documentation": "https://cloud.google.com/bigquery",
+    "api_id": "bigquery.googleapis.com",
+    "api_shortname": "bigquery",
     "client_documentation": "https://cloud.google.com/python/docs/reference/bigframes/latest",
+    "distribution_name": "bigframes",
     "issue_tracker": "https://github.com/googleapis/python-bigquery-dataframes/issues",
-    "release_level": "preview",
     "language": "python",
     "library_type": "INTEGRATION",
-    "repo": "googleapis/google-cloud-python",
-    "distribution_name": "bigframes",
-    "api_id": "bigquery.googleapis.com",
-    "default_version": "",
-    "codeowner_team": "@googleapis/bigquery-dataframe-team",
-    "api_shortname": "bigquery"
-}
+    "name": "bigframes",
+    "name_pretty": "A unified Python API in BigQuery",
+    "product_documentation": "https://cloud.google.com/bigquery",
+    "release_level": "preview",
+    "repo": "googleapis/google-cloud-python"
+}

packages/bigframes/docs/README.rst

@@ -0,0 +1,94 @@
+BigQuery DataFrames (BigFrames)
+===============================
+
+
+|GA| |pypi| |versions|
+
+BigQuery DataFrames (also known as BigFrames) provides a Pythonic DataFrame
+and machine learning (ML) API powered by the BigQuery engine. It provides modules
+for many use cases, including:
+
+* `bigframes.pandas <https://dataframes.bigquery.dev/reference/api/bigframes.pandas.html>`_
+  is a pandas API for analytics. Many workloads can be
+  migrated from pandas to bigframes by just changing a few imports.
+* `bigframes.ml <https://dataframes.bigquery.dev/reference/index.html#ml-apis>`_
+  is a scikit-learn-like API for ML.
+* `bigframes.bigquery.ai <https://dataframes.bigquery.dev/reference/api/bigframes.bigquery.ai.html>`_
+  are a collection of powerful AI methods, powered by Gemini.
+
+BigQuery DataFrames is an `open-source package <https://github.com/googleapis/google-cloud-python>`_.
+
+.. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg
+   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability
+.. |pypi| image:: https://img.shields.io/pypi/v/bigframes.svg
+   :target: https://pypi.org/project/bigframes/
+.. |versions| image:: https://img.shields.io/pypi/pyversions/bigframes.svg
+   :target: https://pypi.org/project/bigframes/
+
+Getting started with BigQuery DataFrames
+----------------------------------------
+
+The easiest way to get started is to try the
+`BigFrames quickstart <https://cloud.google.com/bigquery/docs/dataframes-quickstart>`_
+in a `notebook in BigQuery Studio <https://cloud.google.com/bigquery/docs/notebooks-introduction>`_.
+
+To use BigFrames in your local development environment,
+
+1. Run ``pip install --upgrade bigframes`` to install the latest version.
+
+2. Setup `Application default credentials <https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment>`_
+   for your local development environment enviroment.
+
+3. Create a `GCP project with the BigQuery API enabled <https://cloud.google.com/bigquery/docs/sandbox>`_.
+
+4. Use the ``bigframes`` package to query data.
+
+.. code-block:: python
+
+    import bigframes.pandas as bpd
+
+    bpd.options.bigquery.project = your_gcp_project_id  # Optional in BQ Studio.
+    bpd.options.bigquery.ordering_mode = "partial"  # Recommended for performance.
+    df = bpd.read_gbq("bigquery-public-data.usa_names.usa_1910_2013")
+    print(
+        df.groupby("name")
+        .agg({"number": "sum"})
+        .sort_values("number", ascending=False)
+        .head(10)
+        .to_pandas()
+    )
+
+Documentation
+-------------
+
+To learn more about BigQuery DataFrames, visit these pages
+
+* `Introduction to BigQuery DataFrames (BigFrames) <https://cloud.google.com/bigquery/docs/bigquery-dataframes-introduction>`_
+* `Sample notebooks <https://github.com/googleapis/google-cloud-python/tree/main/notebooks>`_
+* `API reference <https://dataframes.bigquery.dev/>`_
+* `Source code (GitHub) <https://github.com/googleapis/google-cloud-python>`_
+
+License
+-------
+
+BigQuery DataFrames is distributed with the `Apache-2.0 license
+<https://github.com/googleapis/google-cloud-python/blob/main/LICENSE>`_.
+
+It also contains code derived from the following third-party packages:
+
+* `Ibis <https://ibis-project.org/>`_
+* `pandas <https://pandas.pydata.org/>`_
+* `Python <https://www.python.org/>`_
+* `scikit-learn <https://scikit-learn.org/>`_
+* `XGBoost <https://xgboost.readthedocs.io/en/stable/>`_
+* `SQLGlot <https://sqlglot.com/sqlglot.html>`_
+
+For details, see the `third_party
+<https://github.com/googleapis/google-cloud-python/tree/main/third_party/bigframes_vendored>`_
+directory.
+
+
+Contact Us
+----------
+
+For further help and provide feedback, you can email us at `bigframes-feedback@google.com <https://mail.google.com/mail/?view=cm&fs=1&tf=1&to=bigframes-feedback@google.com>`_.

packages/bigquery-magics/.repo-metadata.json

@@ -1,16 +1,13 @@
 {
-    "name": "bigquery-magics",
-    "name_pretty": "Google BigQuery connector for Jupyter and IPython",
-    "product_documentation": "https://cloud.google.com/bigquery",
+    "api_id": "bigquery.googleapis.com",
     "client_documentation": "https://googleapis.dev/python/bigquery-magics/latest/",
+    "distribution_name": "bigquery-magics",
     "issue_tracker": "https://github.com/googleapis/python-bigquery-magics/issues",
-    "release_level": "stable",
     "language": "python",
     "library_type": "INTEGRATION",
-    "repo": "googleapis/google-cloud-python",
-    "distribution_name": "bigquery-magics",
-    "api_id": "bigquery.googleapis.com",
-    "requires_billing": false,
-    "default_version": "",
-    "codeowner_team": "@googleapis/cloud-sdk-python-team @googleapis/bigquery-dataframe-team"
-}
+    "name": "bigquery-magics",
+    "name_pretty": "Google BigQuery connector for Jupyter and IPython",
+    "product_documentation": "https://cloud.google.com/bigquery",
+    "release_level": "preview",
+    "repo": "googleapis/google-cloud-python"
+}

packages/bigquery-magics/docs/README.rst

@@ -0,0 +1,103 @@
+IPython Magics for BigQuery
+===========================
+
+|GA| |pypi| |versions|
+
+Querying massive datasets can be time consuming and expensive without the
+right hardware and infrastructure. Google `BigQuery`_ solves this problem by
+enabling super-fast, SQL queries against append-mostly tables, using the
+processing power of Google's infrastructure.
+
+-  `Library Documentation`_
+-  `Product Documentation`_
+
+.. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg
+   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability
+.. |pypi| image:: https://img.shields.io/pypi/v/bigquery-magics.svg
+   :target: https://pypi.org/project/bigquery-magics/
+.. |versions| image:: https://img.shields.io/pypi/pyversions/bigquery-magics.svg
+   :target: https://pypi.org/project/bigquery-magics/
+.. _BigQuery: https://cloud.google.com/bigquery/what-is-bigquery
+.. _Library Documentation: https://googleapis.dev/python/bigquery-magics/latest
+.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/
+
+Quick Start
+-----------
+
+In order to use this library, you first need to go through the following steps:
+
+1. `Select or create a Cloud Platform project.`_
+2. `Enable billing for your project.`_
+3. `Enable the Google Cloud BigQuery API.`_
+4. `Setup Authentication.`_
+
+.. _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 BigQuery API.:  https://cloud.google.com/bigquery
+.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
+
+Installation
+~~~~~~~~~~~~
+
+Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
+create isolated Python environments. The basic problem it addresses is one of
+dependencies and versions, and indirectly permissions.
+
+With `virtualenv`_, it's possible to install this library without needing system
+install permissions, and without clashing with the installed system
+dependencies.
+
+.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
+
+
+Supported Python Versions
+^^^^^^^^^^^^^^^^^^^^^^^^^
+Python >= 3.9
+
+Unsupported Python Versions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Python <= 3.8.
+
+
+Mac/Linux
+^^^^^^^^^
+
+.. code-block:: console
+
+    pip install virtualenv
+    virtualenv <your-env>
+    source <your-env>/bin/activate
+    <your-env>/bin/pip install bigquery-magics
+
+
+Windows
+^^^^^^^
+
+.. code-block:: console
+
+    pip install virtualenv
+    virtualenv <your-env>
+    <your-env>\Scripts\activate
+    <your-env>\Scripts\pip.exe install bigquery-magics
+
+Example Usage
+-------------
+
+To use these magics, you must first register them. Run the ``%load_ext bigquery_magics``
+in a Jupyter notebook cell.
+
+.. code-block::
+
+    %load_ext bigquery_magics
+
+Perform a query
+~~~~~~~~~~~~~~~
+
+.. code:: python
+
+    %%bigquery
+    SELECT name, SUM(number) as count
+    FROM 'bigquery-public-data.usa_names.usa_1910_current'
+    GROUP BY name
+    ORDER BY count DESC
+    LIMIT 3

packages/db-dtypes/.repo-metadata.json

@@ -1,15 +1,12 @@
 {
+    "api_id": "bigquery.googleapis.com",
+    "client_documentation": "https://googleapis.dev/python/db-dtypes/latest/index.html",
+    "distribution_name": "db-dtypes",
+    "language": "python",
+    "library_type": "INTEGRATION",
     "name": "db-dtypes",
     "name_pretty": "Pandas Data Types for SQL systems (BigQuery, Spanner)",
     "product_documentation": "https://pandas.pydata.org/pandas-docs/stable/ecosystem.html#ecosystem-extensions",
-    "client_documentation": "https://googleapis.dev/python/db-dtypes/latest/index.html",
     "release_level": "stable",
-    "language": "python",
-    "library_type": "INTEGRATION",
-    "repo": "googleapis/google-cloud-python",
-    "distribution_name": "db-dtypes",
-    "api_id": "bigquery.googleapis.com",
-    "default_version": "",
-    "codeowner_team": "@googleapis/python-core-client-libraries",
-    "api_description": "Pandas extension data types for data from SQL systems such as BigQuery."
-}
+    "repo": "googleapis/google-cloud-python"
+}

packages/db-dtypes/docs/README.rst

@@ -0,0 +1,63 @@
+Pandas Data Types for SQL systems (BigQuery, Spanner)
+=====================================================
+
+|ga| |pypi| |versions|
+
+`Pandas extension data types`_ for data from SQL systems such as `BigQuery`_.
+
+- `Library Documentation`_
+
+.. |ga| image:: https://img.shields.io/badge/support-GA-gold.svg
+   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability
+.. |pypi| image:: https://img.shields.io/pypi/v/db-dtypes.svg
+   :target: https://pypi.org/project/db-dtypes/
+.. |versions| image:: https://img.shields.io/pypi/pyversions/db-dtypes.svg
+   :target: https://pypi.org/project/db-dtypes/
+.. _Pandas extension data types: https://pandas.pydata.org/docs/development/extending.html#extension-types
+.. _BigQuery: https://cloud.google.com/bigquery/docs/
+.. _Library Documentation: https://googleapis.dev/python/db-dtypes/latest
+
+
+Installation
+------------
+
+Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
+create isolated Python environments. The basic problem it addresses is one of
+dependencies and versions, and indirectly permissions.
+
+With `virtualenv`_, it's possible to install this library without needing system
+install permissions, and without clashing with the installed system
+dependencies.
+
+.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
+
+
+Supported Python Versions
+^^^^^^^^^^^^^^^^^^^^^^^^^
+Python >= 3.9
+
+Unsupported Python Versions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Python <= 3.8.
+
+
+Mac/Linux
+^^^^^^^^^
+
+.. code-block:: console
+
+    pip install virtualenv
+    virtualenv <your-env>
+    source <your-env>/bin/activate
+    <your-env>/bin/pip install db-dtypes
+
+
+Windows
+^^^^^^^
+
+.. code-block:: console
+
+    pip install virtualenv
+    virtualenv <your-env>
+    <your-env>\Scripts\activate
+    <your-env>\Scripts\pip.exe install db-dtypes

packages/django-google-spanner/.repo-metadata.json

@@ -1,14 +1,13 @@
 {
-    "name": "django-google-spanner",
-    "name_pretty": "Cloud Spanner Django",
-    "product_documentation": "https://cloud.google.com/spanner/docs/",
+    "api_shortname": "django-google-spanner",
     "client_documentation": "https://googleapis.dev/python/django-google-spanner/latest",
+    "distribution_name": "django-google-spanner",
     "issue_tracker": "https://issuetracker.google.com/issues?q=componentid:190851%2B%20status:open",
-    "release_level": "stable",
     "language": "python",
     "library_type": "INTEGRATION",
-    "repo": "googleapis/google-cloud-python",
-    "distribution_name": "django-google-spanner",
-    "requires_billing": true,
-    "api_shortname": "django-google-spanner"
-}
+    "name": "django-google-spanner",
+    "name_pretty": "Cloud Spanner Django",
+    "product_documentation": "https://cloud.google.com/spanner/docs/",
+    "release_level": "stable",
+    "repo": "googleapis/google-cloud-python"
+}