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- Created Flask-based web application for CSV upload and processing - Implemented PostgreSQL database schema for questions storage - Added comprehensive data validation for CSV imports - Built modern web UI with drag-and-drop file upload - Included RESTful API endpoints for upload, stats, and queries - Added Docker Compose setup for easy deployment - Created sample CSV files with 25 diverse questions - Implemented bulk import with error handling and reporting - Added health check and monitoring endpoints - Included detailed documentation and testing script Features: - Validates required fields (question_text, answer_options, correct_answer) - Supports optional fields (category, difficulty, explanation, tags) - JSON validation for answer options - Difficulty level validation (easy, medium, hard, expert) - Import logging and statistics tracking - Real-time feedback on import success/failures - Indexed queries by category and difficulty Tech Stack: - Python 3.11 with Flask - PostgreSQL 16 - Docker & Docker Compose - Modern vanilla JavaScript UI Co-authored-by: alfredo.edye <alfredo.edye@bitlogic.io>
Co-authored-by: alfredo.edye <alfredo.edye@bitlogic.io>
Co-authored-by: alfredo.edye <alfredo.edye@bitlogic.io>
Complete implementation summary including: - All deliverables and features - Architecture overview - Testing results (100% pass rate) - Deployment instructions - File structure and metrics - Security and performance notes - Shape Up methodology alignment - Handoff notes for all stakeholders Ready for PR and review. Co-authored-by: alfredo.edye <alfredo.edye@bitlogic.io>
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Adds a new Flask application for CSV-based question ingestion into a PostgreSQL database, providing a web UI for bulk question import to the Aprendiz platform.
Linear Issue: AP-45