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mirror of https://github.com/vee1e/bulk-questionnaire-upload - Fork containing all the code for my C4GT '25 menteeship at D
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github-actions[bot] a7cda4faf0 chore: update performance metrics from CI [skip ci]
2026-06-10 11:36:38 +00:00
.github/workflows feat: add CI perf-metrics job to benchmark deployed API and update README 2026-06-02 13:49:30 +05:30
backend optimize db fetches 2026-06-09 23:46:05 +05:30
frontend fix the upload state not updating 2026-06-10 17:04:46 +05:30
scripts fix: preserve previous perf metrics when MongoDB unavailable; fix delete ID parsing 2026-06-02 15:09:46 +05:30
tests feat: update file parsing to return the actual mForm format 2025-09-11 16:47:17 +05:30
.gitignore feat: add Vercel deployment config and runtime API URL loading 2026-06-02 12:21:52 +05:30
LICENSE docs: add license 2025-07-09 06:46:05 +05:30
pytest.ini feat: implement CI workflow, enhance file validation, and add test cases 2025-08-26 00:22:54 +05:30
README.md chore: update performance metrics from CI [skip ci] 2026-06-10 11:36:38 +00:00
run.sh fix: refine validation UI with updated colors and spacing in upload component, and other fixes 2025-07-29 01:07:47 +05:30

README.md

Bulk Questionnaire Upload System

Upload, validate, and manage Excel-based questionnaires through a modern web UI. XLSForm-compatible three-sheet format (Forms / Questions Info / Answer Options), parsed into a mobile-app-ready JSON schema and stored in MongoDB.

Screenshots

Upload & Validate
image
Form Parse with Errors
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Form Parse Successful
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Performance

Benchmarks are measured automatically on every push to main against the live Render deployment.

Last measured: 2026-06-10 11:36 UTC against the live Render deployment.

Metric Type Recent Performance
File Validation 1291–2023ms (1.291–2.023s)
Form Parsing 4697–5239ms (4.697–5.239s)
Form Upload 7788–7788ms (7.788–7.788s)
Question Processing 18.813ms per item
Option Processing 10.847ms per item
Batch Processing 7788–7788ms (7.788–7.788s)
Delete Operations 960–960ms (0.960–0.960s)
Cold Start Time 377ms

Stack

Layer Tech
Frontend Angular 19, Angular Material, SSR
Backend FastAPI, Uvicorn, Pandas, Motor
Database MongoDB Atlas
Deploy Vercel (frontend) · Render (backend)
CI GitHub Actions - tests + live perf benchmarks

See backend/README.md for API reference, file format specs, and local setup. See frontend/README.md for component structure, config, and development guide.