BNPL Pipeline Infrastructure Foundation#10
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whitehackr merged 4 commits intomainfrom Sep 15, 2025
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- Add apache-airflow==2.8.4 for orchestration - Add requests==2.31.0 and urllib3==2.0.7 for API client - Add great-expectations==0.18.19 for data quality validation - All versions chosen for compatibility with existing Python 3.11 stack
- Create BNPLAPIClient with exponential backoff retry strategy - Implement rate limiting and request throttling - Add comprehensive error handling and logging - Support SSE stream response parsing from simtom API - Include input validation for date ranges and parameters - Add connection testing and daily batch methods
- Configure Docker Compose with LocalExecutor and PostgreSQL - Mount DAGs, plugins, scripts, and GCP credentials - Create directory structure for DAGs and plugins - Set admin credentials and environment configuration - Enable production-appropriate single-machine deployment
- Document architecture overview and design decisions - Include environment setup instructions - Describe BigQuery datasets and directory structure - Add API client usage examples and Airflow configuration - Outline data volume strategy and next steps
42 tasks
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Summary
• Add production-grade BNPL API client with SSE support and retry logic
• Configure Airflow infrastructure with LocalExecutor and Docker Compose
• Update requirements.txt with compatible versions for pipeline dependencies
• Create comprehensive documentation for setup and architecture
Test plan
This establishes the foundation for 1.8M transaction ingestion and ML pipeline development.