mirror of
https://github.com/SamyRai/turash.git
synced 2025-12-26 23:01:33 +00:00
000eab4740
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)
37 lines
1.2 KiB
Markdown
37 lines
1.2 KiB
Markdown
# Data Archive
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This directory contains archived data from completed data collection efforts.
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## Contents
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### scraper-data/
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- **`bugulma_companies.json`** - Final scraped company data (200+ companies with full details)
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- **`downloaded_images/`** - All company logos and gallery images (6,988 images, 949MB)
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## Status
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✅ **DATA PRESERVED** - All collected data has been archived and is available for future reference.
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✅ **DATABASE MIGRATED** - Company data has been successfully imported to the production PostgreSQL database.
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✅ **SCRAPER REMOVED** - Scraper directory completely removed after successful data migration.
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✅ **DUPLICATES CLEANED** - Duplicate image directories removed from working directories.
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## Usage
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The archived data serves as:
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- **Backup** of the original scraped dataset
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- **Reference** for data quality verification
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- **Source** for re-importing if needed
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- **Historical record** of the data collection process
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## Database Status
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- **Organizations**: 1,280 records imported
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- **Sites**: 9,144 records created
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- **Resource Flows**: 0 (awaiting processing)
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- **Matches**: 0 (awaiting matching algorithm)
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The scraper successfully completed its mission of populating the initial company database.
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