chore: complete bigframes migration

librarian.yaml

@@ -55,7 +55,6 @@ default:
 libraries:
   - name: bigframes
     version: 2.39.0
-    skip_generate: true
     python:
       library_type: INTEGRATION
       name_pretty_override: A unified Python API in BigQuery

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": "stable",
+    "repo": "googleapis/google-cloud-python"
+}

packages/bigframes/bigframes/session/loader.py

@@ -54,6 +54,8 @@
 from google.cloud import bigquery_storage_v1
 from google.cloud.bigquery_storage_v1 import (
     types as bq_storage_types,
+)
+from google.cloud.bigquery_storage_v1 import (
     writer as bq_storage_writer,
 )
 

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>`_.