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Sahaja Reddy Pabbathi Reddy
bef3f117b4
Merge https://github.com/google/adk-python/pull/4171 **Problem:** The BigQuery ADK tools currently lack the ability to search for and discover BigQuery assets using the Dataplex Catalog. Users cannot leverage Dataplex's search capabilities within the ADK to find relevant data assets before querying them. **Solution:** This PR integrates a new search_catalog_tool into the BigQuery ADK. This tool utilizes the dataplex catalog client library to interact with the Dataplex API, allowing users to search the catalog. **Unit Tests:** - [x] I have added or updated unit tests for my change. - [x] All unit tests pass locally. Added the screenshots of the manual adk web UI tests - https://docs.google.com/document/d/1c_lMW7NYGKuLAvPFmSkLehbqySeNyXQIhzQlvo3ixmQ/edit?usp=sharing ### Checklist - [x] I have read the [CONTRIBUTING.md](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) document. - [x] I have performed a self-review of my own code. - [x] I have commented my code, particularly in hard-to-understand areas. - [x] I have added tests that prove my fix is effective or that my feature works. - [x] New and existing unit tests pass locally with my changes. - [x] I have manually tested my changes end-to-end. - [x] Any dependent changes have been merged and published in downstream modules. COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/4171 from sahaajaaa:sahaajaaa-bq-adk 3dbbaa4f909cb25259e8e7d73a00a58fbe9c2f09 PiperOrigin-RevId: 872951141
Contributing Resources
This folder hosts resources for ADK contributors, for example, testing samples etc.
Samples
Samples folder host samples to test different features. The samples are usually minimal and simplistic to test one or a few scenarios.
Note: This is different from the google/adk-samples repo, which hosts more complex e2e samples for customers to use or modify directly.
ADK project and architecture overview
The adk_project_overview_and_architecture.md describes the ADK project overview and its technical architecture from high-level.
This is helpful for contributors to understand the project and design philosophy. It can also be fed into LLMs for vibe-coding.