Files
full_encoach_platform/docs
Yamen Ahmad 3b62075d7e feat(platform): course-plan student visibility, multi-voice TTS, OCR sources, branches
Backend (encoach_ai_course):
- workbook_attempt model + scoring + REST endpoints for student attempts
- dialogue_parser splits scripts by speaker, classifies gender, strips labels
- media_service: multi-voice TTS via Polly/ElevenLabs, ffmpeg concatenation,
  manual media upload endpoint (audio/image/video) with size validation
- source_indexer: OCR fallback (pytesseract + pdf2image) for scanned PDFs,
  page-streaming to stay under memory limit
- exercise_extractor + rag_context for RAG-grounded interactive workbooks
- course_plan_pipeline: v2 generator that grounds week material on indexed
  sources and persists grounded_on_json metadata
- security: access rules for new models

Backend (encoach_lms_api):
- branches model + controller (entity-scoped LMS branches)
- classroom_ext + course_ext (assignment + section workflow)
- classrooms controller: students/teachers/assign-course endpoints

Frontend:
- StudentDashboard: surface assigned AI course plans alongside enrollments;
  enrolled-courses stat now counts plans+enrollments
- InteractiveWorkbook + PlanReader components
- AdminCoursePlanDetail: media drawer with upload buttons (audio/image/video),
  hidden file inputs, upload mutation
- AdminBranches page + sidebar entry
- coursePlan/lms/classrooms services + types updated for new endpoints
- i18n: studentDash.myCoursePlans/noCoursePlans (en + ar)

Infra & docs:
- odoo.conf: bump memory limits to 4G/5G for OCR + sentence-transformers
- .gitignore: ignore *.tsbuildinfo
- docs/ASSIGNMENT_WORKFLOW.{md,pdf}
- smoke_*.py end-to-end tests for assignment workflow, entity isolation,
  course-plan RAG pipeline

Made-with: Cursor
2026-04-28 00:17:51 +04:00
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