This new pipeline identifies products meeting specific monthly sold, price, seller count, and Amazon buy box share criteria across categories. It fetches comprehensive product data from Keepa and SP-API, analyzes it using an LLM, and persists the results.
A key enhancement is the introduction of a dedicated Redis cache for Keepa and SP-API responses. This reduces API token consumption and improves performance for subsequent runs by caching enriched ASIN data with a 12-hour TTL. Products are saved regardless of their sellability status to provide a complete view.
- Updated `sp-test.ts` to enhance argument parsing and error handling for sellability checks.
- Refactored `types.ts` to maintain consistent formatting and improve readability.
- Improved `writer.ts` for better result handling and CSV writing, ensuring clarity in output.
- Adjusted `tsconfig.json` formatting for consistency and readability.
- Add README.md with installation and usage instructions.
- Create bun.lock for dependency management.
- Add package.json to define project metadata and dependencies.
- Implement caching with Redis in cache.ts for ASIN data.
- Configure environment variables in config.ts for API keys and Redis URL.
- Develop main application logic in index.ts to read products, fetch data, and analyze results.
- Integrate Keepa API for product data retrieval in keepa.ts.
- Create LLM analysis functionality in llm.ts for product viability assessment.
- Implement product reading from Excel files in reader.ts.
- Stub SP-API integration in sp-api.ts for future implementation.
- Define TypeScript types in types.ts for product and analysis data structures.
- Write results to console and CSV in writer.ts.
- Configure TypeScript settings in tsconfig.json for project compilation.
