Commit Graph
4 Commits
Author SHA1 Message Date
Google Team MemberandCopybara-Service a2ce34a0b9 feat: Migrate BigQuery logging to Storage Write API
This commit refactors the `BigQueryAgentAnalyticsPlugin` to leverage the modern BigQuery Storage Write API, replacing the previous implementation that used the legacy `insert_rows_json` method (based on `tabledata.insertAll`).

**Key Changes:**

*   **Switched to Storage Write API:** Event logs are now ingested using the `BigQueryWriteClient` from the `google-cloud-bigquery-storage` library.
*   **Utilizes Default Stream:** We are using the `_default` stream for sending data, which is an efficient method for streaming in data without needing to manage stream lifecycles. This is ideal for continuous event logging.
*   **Apache Arrow Format:** Log entries are converted to the Apache Arrow format using `pyarrow` before being sent. The BigQuery table schema is dynamically converted to an Arrow schema. This binary format is more efficient than JSON.
*   **Updated Initialization:** The plugin now initializes both the standard `bigquery.Client` (for table management) and the `BigQueryWriteClient`.
*   **Test Updates:** Unit tests in `test_bigquery_logging_plugin.py` have been comprehensively updated to mock the new `BigQueryWriteClient`, `bq_schema_utils`, and `pyarrow` components. Tests now verify calls to `append_rows` and the data structure passed to create the Arrow RecordBatch.

**Benefits of this change:**

*   **Improved Performance:** The Storage Write API is designed for high-throughput streaming and offers better performance compared to the legacy API.
*   **Reduced Cost:** Ingesting data via the Storage Write API is generally more cost-effective.
*   **Enhanced Reliability:** The Storage Write API provides more robust streaming capabilities.
*   **Modernization:** Aligns the plugin with the recommended best practices for BigQuery data ingestion.

This change enhances the efficiency and scalability of the BigQuery logging plugin.

PiperOrigin-RevId: 828655496
2025-11-05 15:33:57 -08:00
Google Team MemberandCopybara-Service 033f5a5d3f feat: Add configuration options to BigQuery logging plugin
This change introduces BigQueryLoggerConfig to allow customization of the BigQueryAgentAnalyticsPlugin. Users can now enable/disable the plugin, specify event type allowlists and denylists, and provide a custom function to format or redact the content field before logging to BigQuery. The content logged for model and tool errors has also been enhanced.

PiperOrigin-RevId: 828172241
2025-11-04 16:06:49 -08:00
Google Team MemberandCopybara-Service 0b56f2287b refactor(bigquery): Remove dataset_id from logging schema
Removes the dataset_id field from the BigQuery table schema and from each log entry created by the BigQueryAgentAnalyticsPlugin. This field is redundant, as all rows logged to a specific table belong to the same dataset.

To ensure the plugin can still target the correct dataset, dataset_id is now a required argument in the BigQueryAgentAnalyticsPlugin constructor, and its default value has been removed.

The BigQuery client user_agent is also updated with plugin version info to help identify traffic originating from this plugin. Unit tests have been updated to reflect the removal of dataset_id from log entries.

PiperOrigin-RevId: 826596499
2025-10-31 12:57:54 -07:00
Google Team MemberandCopybara-Service b7dbfed4a3 feat: Add BigQueryLoggingPlugin for event logging to BigQuery
Introduces the `BigQueryLoggingPlugin` for capturing and sending ADK lifecycle events to Google BigQuery. This allows for persistent storage and analysis of agent and tool interactions. The plugin supports asynchronous logging, automatic dataset/table creation, and comprehensive event capture.

Also refactors common formatting utilities (_format_content, _format_args) for shared use.

PiperOrigin-RevId: 824703739
2025-10-27 15:30:56 -07:00