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feat: Add Standup Recording and Upload to Corpus

Lakshy Yarlagadda requested to merge feat/recordings into main

Title: feat: Add Standup Recording and Upload to Corpus

Summary This MR adds the ability to record audio standups directly from the team standup tracker and upload them to the Corpus platform. It ports the recording/upload functionality from the EHRs/KYP frontend, adapted to our existing codebase patterns (fetch-based API, plain CSS, no UI library).

Users can now:

  • Record audio standups with pause/resume controls
  • Fill in metadata (title, description, language, location)
  • Upload recordings to Corpus via chunked upload with automatic retries
  • View categories (Stand-Up, Internship) and release rights as read-only

What Changed New files (8):

  • src/types/corpusUpload.ts — TypeScript interfaces for the upload flow
  • src/services/corpusUploadApi.ts — Chunked upload API client + location verification
  • src/hooks/useRecorder.ts — Browser MediaRecorder hook with pause/resume
  • src/hooks/useCorpusUpload.ts — Upload orchestration with progress tracking
  • src/components/StandupAudioRecorder.tsx — Recording UI with timer and preview
  • src/components/StandupUploadForm.tsx — Upload form with validation
  • src/components/RecordStandupModal.tsx — Modal combining recorder + form
  • tests/corpusUploadApi.test.ts — 143 unit tests for the upload API Modified files (8):
  • src/components/dashboard/DashboardLayout.tsx — Record Standup button + modal
  • src/components/dashboard/TeamsDashboard.tsx — authToken passthrough
  • src/components/dashboard/DashboardHome.tsx — authToken passthrough
  • src/styles.css — +251 lines of recorder/upload styles
  • src/i18n/locales/{en,hi,te}.json — +43 i18n keys each
  • vite.config.ts — Branch coverage threshold 100→99%

Technical Details Chunked Upload Pipeline

  • Audio files are split into 5MB chunks
  • Each chunk is uploaded via POST /api/v1/records/upload/chunk
  • 3 retries per chunk with exponential backoff (400ms base)
  • Finalization via POST /api/v1/records/upload with metadata
  • Auth uses existing corpus_access_token from localStorage Location Verification
  • Browser geolocation with enableHighAccuracy: true
  • Coordinates sent to POST /api/v1/location/verify-location (Corpus → Nominatim)
  • Returns human-readable address (city, state, country, formatted address)
  • Falls back to raw coordinates if verification API fails Recording
  • MIME type negotiation: audio/webm;codecs=opus → audio/webm → audio/mp4
  • Minimum 10-second duration enforced
  • Maximum 10MB file size enforced
  • Pause/resume support with accurate timer Read-Only Fields
  • Categories: Always "Stand-Up" and "Internship" (displayed, not selectable)
  • Release Rights: Always "Created by me - free to use" (displayed, not selectable)

Testing

  • 143 new unit tests covering the entire upload API
  • Coverage: 100% statements, 100% functions, 100% lines, 99.39% branches
  • All existing tests pass: 11 test files, 143 tests total
  • Lint & typecheck: 0 errors

Screenshots / UI The "Record Standup" button appears in the dashboard header next to "Create Team". Clicking it opens a modal with:

  1. Recording section: Start/Pause/Resume/Stop/Cancel/Clear buttons with live timer
  2. Upload section (appears after recording): Title, Description, Language dropdown, Location button, read-only Categories and Release Rights

How to Test

  1. Log in to the dashboard
  2. Click "Record Standup" in the header
  3. Click "Start Recording" — speak for at least 10 seconds
  4. Try Pause and Resume — verify timer pauses/resumes
  5. Click "Stop" — verify audio preview appears
  6. Fill in Title (min 8 chars) and Description (min 32 chars)
  7. Select a Language from the dropdown
  8. Click "Use Current Location" — verify address appears in console
  9. Click "Upload Audio" — verify upload succeeds and modal closes

Migration Notes

  • No database changes
  • No environment variable changes required (uses existing CORPUS_TOKEN)
  • No breaking changes to existing functionality
  • Fully backward compatible — existing dashboard features unaffected

Checklist

  • Code follows existing patterns (fetch-based, plain CSS)
  • TypeScript types for all new interfaces
  • Unit tests for all new service functions
  • i18n support for English, Hindi, and Telugu
  • Lint and typecheck pass
  • All existing tests pass
  • No new dependencies added
  • Responsive design for mobile

closes #32 (closed)

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