DS2E2025CP/bot_discord
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationCode CleanupData ProcessingFile ManagementGitPython Development
ThomasM59400
PROFILE
Thomasm59400
Worked on the DS2E2025CP/bot_discord repository to deliver a France Travail API-based job scraping feature with integrated INSEE data, enabling users to search job offers by city and keyword with robust input validation. Automated code generation improved INSEE data retrieval, streamlining access and consistency. Enhanced error handling and location data validation reduced scraping failures and maintained data quality. Established scaffolding for Scraping Group 2, including a Python scripting placeholder and initial test setup, while removing deprecated directories. Focused on Python development, API integration, and web scraping, the work emphasized repository hygiene and maintainability through targeted code cleanup and structured testing practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
2
Lines of code
124
Activity Months1
Your Network
125 peopleShared Repositories
23
Work History
April 2025
9 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for DS2E2025CP/bot_discord: Delivered France Travail API-based job scraping with INSEE data integration, enabling city-name and keyword search with robust input processing. Automated code generation and enhancements for INSEE data retrieval were added to improve data access and consistency. Strengthened reliability with improved error handling and input validation for location data, reducing scrape failures. Launched Scraping Group 2 scaffolding and testing setup, including a Python scripting placeholder (scraping_group2.py), test scaffolds, and repository hygiene improvements. Key achievements:
9 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for DS2E2025CP/bot_discord: Delivered France Travail API-based job scraping with INSEE data integration, enabling city-name and keyword search with robust input processing. Automated code generation and enhancements for INSEE data retrieval were added to improve data access and consistency. Strengthened reliability with improved error handling and input validation for location data, reducing scrape failures. Launched Scraping Group 2 scaffolding and testing setup, including a Python scripting placeholder (scraping_group2.py), test scaffolds, and repository hygiene improvements. Key achievements:
April 2025
Activity
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Quality Metrics
Correctness88.8%
Maintainability88.8%
Architecture88.8%
Performance88.8%
AI Usage28.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationCode CleanupData ProcessingFile ManagementGitPython DevelopmentScriptingTestingWeb Scrapingscripting
Repositories Contributed To
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