- Add `writeSupplierWorkbook` function to create Excel workbooks for supplier analysis results.
- Introduce `SupplierExportSummary` type for summarizing export data.
- Create tests for `writeSupplierWorkbook` to ensure correct sheet creation and data population.
- Implement supplier scoring logic in `supplier-scoring.ts` to evaluate product profitability and demand.
- Add tests for supplier scoring to validate scoring logic and verdict determination.
- Enhance UPC file analysis to integrate supplier scoring and export results to Excel.
- Update database writing logic to accommodate new supplier analysis results.
- Refactor types to include supplier-specific data structures and scoring metrics.
- Ensure proper cleanup of temporary files after tests.
- Updated test case to reflect changes in processing mid-range matches based on sellability.
- Modified `processCategory` function to implement strict and soft sellability gates.
- Introduced new command-line arguments for category selection and sellability gate configuration.
- Enhanced error handling and validation for new arguments.
- Improved logging for category processing and budget usage.
Introduces the capability to resolve UPCs to ASINs using the Keepa API. This includes a new `upc-file` command for processing large Excel files of UPCs, a `upc` CLI tool for quick lookups, and API endpoints for web-based integration. The analysis pipeline was refactored into a reusable module to support both standard ASIN leads and new UPC-driven workflows.
- Implemented main dashboard with run metrics and filtering options.
- Created detailed view for individual runs with results and anomalies.
- Added product listing page with filtering and pagination.
- Introduced utility functions for formatting dates and numbers.
- Styled components with CSS for a clean and responsive layout.
- Set up HTML entry point and linked to the main JavaScript file.
- Updated TypeScript configuration to include DOM types.
- 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.
- Implemented database initialization and connection management in `database.ts` using Bun's SQLite.
- Created `runs` and `results` tables to track historical analysis metadata and detailed product performance.
- Updated `writer.ts` to persist analysis results to the database within a transaction, replacing the previous CSV output logic.
- Updated README and `.gitignore` to reflect the new persistent storage capability.
- Added `amazon-sp-api` dependency to package.json.
- Enhanced configuration to include SP-API credentials and settings.
- Implemented SP-API client initialization and error handling in sp-api.ts.
- Developed functions to fetch product sellability and pricing data.
- Updated main processing logic in index.ts to incorporate sellability checks before fetching pricing.
- Modified LLM analysis to account for sellability status and reasons.
- Created a new sp-test.ts script for testing SP-API connectivity and sellability.
- Updated types.ts to define SellabilityInfo and extend SpApiData.
- Enhanced result reporting in writer.ts to include sellability information.
- 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.
