pgcomp-dashboard/pgcomp-dashboard
May 2025 – May 2025
1 Month active
Languages Used
HTMLPython
Technical Skills
Academic Profile ManagementBackend DevelopmentData ExtractionData ManagementData ParsingFile I/O
Diana Romero
PROFILE
Diana Romero
Diana Clavijo developed a Lattes data extraction and parsing feature for the pgcomp-dashboard repository, enabling the dashboard to display researchers’ bibliographic production with comprehensive details. She implemented backend logic in Python to parse HTML files and convert them into structured JSON, leveraging regular expressions and file I/O for robust data extraction. Her work included creating and integrating HTML and JSON fixtures for PGCOMP members, which improved data onboarding and traceability. By enhancing the parser to extract complete bibliographic records, Diana addressed data completeness and reporting needs, providing stakeholders with richer analytics and more accurate academic profile management within the dashboard.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
14,266
Activity Months1
Your Network
22 peopleSame Organization
@ufba.br6
Work History
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 monthly summary: Implemented Lattes data extraction and parsing to enable the dashboard to display researchers' bibliographic production with full details. Added HTML and JSON fixtures for PGCOMP members and enhanced the parser to extract the complete bibliographic production. This work enhances data coverage, analytics capability, and reporting quality for stakeholders.
3 Commits • 1 Features
May 1, 2025May 2025 monthly summary: Implemented Lattes data extraction and parsing to enable the dashboard to display researchers' bibliographic production with full details. Added HTML and JSON fixtures for PGCOMP members and enhanced the parser to extract the complete bibliographic production. This work enhances data coverage, analytics capability, and reporting quality for stakeholders.
May 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLPython
Technical Skills
Academic Profile ManagementBackend DevelopmentData ExtractionData ManagementData ParsingFile I/ORegular ExpressionsWeb Scraping
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