Add initial Data Commons Platform database simple import support

[dwnoble]

• Added scaffold DataCommonsPlatformDb class and stubs in simple/stats/db.py.
• Add environment variable configuration and factory logic for backend selection.
• Add unit tests for configuration parsing in db_test.py.

[gemini-code-assist]

Summary of Changes

Hello @dwnoble, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request lays the groundwork for integrating with the Data Commons Platform by adding a new database backend. It establishes the necessary class structure, introduces environment-based configuration, and updates the system's database selection mechanism to support this new platform. The changes enable future development for data import and interaction with the Data Commons Platform.

Highlights

• New Database Backend: Introduced a new DataCommonsPlatformDb class to provide initial support for interacting with the Data Commons Platform, including stub methods for data insertion and selection.
• Environment Variable Configuration: Added new environment variables (USE_DATACOMMONS_PLATFORM, DATACOMMONS_PLATFORM_URL) and corresponding logic to configure the Data Commons Platform backend.
• Database Factory Integration: Updated the database creation factory (create_and_update_db) and configuration retrieval logic (_get_db_config) to recognize and prioritize the new Data Commons Platform backend.
• Unit Tests: Included a new unit test to validate the correct parsing of Data Commons Platform configuration from environment variables.

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[gemini-code-assist]

Code Review

This pull request introduces initial support for a new database backend, the Data Commons Platform, including a new DB type, configuration, a stub Db interface implementation, and factory logic, along with unit tests. A security review identified a potential information disclosure vulnerability where the platform URL, which may contain sensitive credentials, is logged in its entirety, potentially exposing secrets in application logs. Additionally, there are areas for improvement regarding correctness and maintainability, such as an incorrect method signature, an unnecessary method, and hardcoded strings in a test.

[clincoln8]

🎉