mirror of
https://github.com/SamyRai/turash.git
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Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
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| README.md | ||
Data Archive
This directory contains archived data from completed data collection efforts.
Contents
scraper-data/
bugulma_companies.json- Final scraped company data (200+ companies with full details)downloaded_images/- All company logos and gallery images (6,988 images, 949MB)
Status
✅ DATA PRESERVED - All collected data has been archived and is available for future reference.
✅ DATABASE MIGRATED - Company data has been successfully imported to the production PostgreSQL database.
✅ SCRAPER REMOVED - Scraper directory completely removed after successful data migration.
✅ DUPLICATES CLEANED - Duplicate image directories removed from working directories.
Usage
The archived data serves as:
- Backup of the original scraped dataset
- Reference for data quality verification
- Source for re-importing if needed
- Historical record of the data collection process
Database Status
- Organizations: 1,280 records imported
- Sites: 9,144 records created
- Resource Flows: 0 (awaiting processing)
- Matches: 0 (awaiting matching algorithm)
The scraper successfully completed its mission of populating the initial company database.