fix: PrimaryButton ref warning + research modal close race condition

This commit is contained in:
ajaysi
2026-04-22 08:48:35 +05:30
parent efff72f4bd
commit 973dd501fe
12 changed files with 367 additions and 50 deletions

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# ALwrity Project
## What This Is
ALwrity is an AI-powered content creation platform that helps users generate various types of content including podcasts, videos, blogs, and social media content. The platform features a React frontend and a FastAPI backend with onboarding workflows, API key management, and content generation capabilities.
## Core Value
To provide an all-in-one AI content creation suite that simplifies the content production process for creators, marketers, and businesses.
## Current Focus
Based on recent git commits, the team has been working on:
- Podcast production features (voice cloning, avatar generation, B-roll integration)
- Onboarding flow improvements
- Backend stability and debugging
- Frontend UI/UX enhancements
## Requirements
### Validated
- User authentication (Clerk)
- API key management for AI providers
- Basic podcast generation workflow
- File storage and media handling
### Active
- Podcast script generation and editing
- Voice cloning and avatar creation
- B-roll scene rendering and integration
- Onboarding flow completion tracking
- API endpoint stability and debugging
### Out of Scope
- Mobile applications (currently web-only)
- Enterprise team collaboration features
- Advanced analytics dashboard
## Key Decisions
- Using FastAPI for backend performance
- React with Material-UI for frontend consistency
- Modular API design for extensibility
- Database-first approach for persistence
## Constraints
- Must maintain backward compatibility with existing API
- Deployment targets include both development and production environments
- Must support multiple AI providers (OpenAI, HuggingFace, etc.)
- Budget-conscious resource usage for AI API calls

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# Project State
## Project Reference
**Core Value**: ALwrity is an AI-powered content creation platform that helps users generate various types of content including podcasts, videos, blogs, and social media content.
**Current Focus**: Based on recent development activity, the team is implementing Phase 2 of the WaveSpeed AI integration roadmap - Hyper-Personalization features for the Persona system, including voice training and avatar creation.
## Current Position
**Phase**: 2 of 3 - Hyper-Personalization
**Plan**: 3 of 5 - Persona Avatar Creation & Integration
**Status**: In Progress - Working on avatar service implementation and frontend UI for avatar creation
## Progress
Progress: [███████░░] 70%
## Recent Decisions
1. **Avatar Service Architecture**: Decided to create a shared avatar service in backend/services/wavespeed/avatar/ for reuse across LinkedIn and Persona modules
2. **UI Framework**: Continuing with Material-UI (MUI) for consistent avatar creation interface
3. **Storage Strategy**: Using cloud storage for avatar assets with metadata tracking in PostgreSQL
4. **Generation Queue**: Implementing asynchronous processing for avatar generation to prevent API timeouts
## Pending Todos
- [ ] Complete avatar generation API endpoints
- [ ] Implement avatar library management UI
- [ ] Add avatar preview functionality
- [ ] Create avatar upload/download capabilities
- [ ] Integrate avatar selection into Persona dashboard
- [ ] Add usage tracking and cost estimation for avatar generation
- [ ] Write comprehensive tests for avatar service
- [ ] Update documentation for avatar feature
## Blockers/Concerns
- **WaveSpeed API Rate Limits**: Need to implement proper queuing and retry mechanisms
- **Storage Costs**: Avatar storage could become expensive at scale - need to implement cleanup policies
- **Generation Time**: Avatar generation can take 30-60 seconds - need to improve user experience during wait
- **Quality Consistency**: Ensuring generated avatars maintain consistent quality across different inputs
Last session: 2026-04-21 07:02:08
Stopped at: Session resumed, proceeding to discuss Phase 2 context
Resume file: [updated if applicable]