- Introduced StalkerResultItem and StalkerResultsResponse types for handling API responses.
- Implemented StalkerExplorer component for displaying Stalker results with search and filter options.
- Added sorting functionality for Stalker results table.
- Enhanced Dashboard to include a button for navigating to Stalker results.
- Updated routing to support Stalker results page.
- Improved styles for section headers and inventory columns in the results table.
- 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.
- Introduced `amazonIsSeller` and `amazonBuyboxSharePct90d` fields in KeepaData type.
- Updated database schema and queries to store Amazon seller status and buy box share percentage.
- Enhanced product analysis results with new metrics from Keepa API.
- Modified frontend components to display Amazon seller status and buy box share percentage.
- Implemented reanalysis functionality for products to refresh Amazon-related metrics.
- Adds new columns to the `results` table for tracking spreadsheet-sourced financial data, supplier details, and lead metadata.
- Implements `ensureResultsTableColumns` to automatically migrate existing databases with the new schema.
- Simplifies LLM evaluation logic by removing mandatory skip triggers for Amazon-exclusive and single-seller products.
- Standardizes formatting for database index and table creation statements.
- 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.
- Replaces Excel output with structured database tables for tracking category analysis runs and product results.
- Implements a blacklist to exclude specific category IDs from the bestseller pipeline.
- Adds unit tests for category processing and enhances logging with levels and timestamps.
- Introduces foreign key enforcement and updated schema definitions in the database module.
- 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.
