185 lines
7.5 KiB
Markdown
185 lines
7.5 KiB
Markdown
# Social Media Domain Implementation Status
|
|
|
|
## Project Overview
|
|
|
|
**Feature:** Complete socialmedia domain implementation from empty stubs to production
|
|
**Total Estimated Time:** 32 hours across 3 phases
|
|
**Approach:** Parallel development with multiple AI agents
|
|
**Target:** >85% test coverage, PostgreSQL migration, PRAW Reddit integration, OpenRouter LLM sentiment analysis
|
|
|
|
---
|
|
|
|
## Progress Summary
|
|
|
|
| Phase | Status | Completed | Total | Progress | Est. Time |
|
|
|-------|--------|-----------|-------|----------|-----------|
|
|
| **Phase 1: Foundation** | 🟡 Not Started | 0 | 4 | 0% | 12h |
|
|
| **Phase 2: API Integration** | 🟡 Not Started | 0 | 4 | 0% | 12h |
|
|
| **Phase 3: Integration** | 🟡 Not Started | 0 | 3 | 0% | 8h |
|
|
| **Overall Progress** | 🟡 Not Started | **0** | **11** | **0%** | **32h** |
|
|
|
|
---
|
|
|
|
## Phase 1: Foundation (12 hours)
|
|
|
|
### 🏗️ Database & Core Models
|
|
|
|
| Task | Agent | Status | Progress | Time | Priority |
|
|
|------|-------|--------|----------|------|----------|
|
|
| **1.1** Database Schema Migration | Database Specialist | 🟡 Not Started | 0% | 3h | 🔴 Blocking |
|
|
| **1.2** SQLAlchemy Entity Implementation | Entity Specialist | 🟡 Not Started | 0% | 3h | 🔴 Blocking |
|
|
| **1.3** Domain Model Enhancement | Domain Specialist | 🟡 Not Started | 0% | 3h | 🔴 Blocking |
|
|
| **1.4** Repository Implementation | Repository Specialist | 🟡 Not Started | 0% | 3h | 🟠 Medium |
|
|
|
|
#### Phase 1 Dependencies
|
|
- Task 1.1 → Task 1.2 (Entity requires database schema)
|
|
- Task 1.4 depends on Tasks 1.1 + 1.2
|
|
- Task 1.3 can run parallel with others
|
|
|
|
#### Phase 1 Acceptance Criteria
|
|
- [ ] PostgreSQL table `social_media_posts` with TimescaleDB + pgvectorscale
|
|
- [ ] SocialMediaPostEntity with proper field mappings and transformations
|
|
- [ ] SocialPost domain model with validation and business rules
|
|
- [ ] SocialRepository with vector similarity search and sentiment aggregation
|
|
|
|
---
|
|
|
|
## Phase 2: API Integration & Processing (12 hours)
|
|
|
|
### 🔌 Clients & Services
|
|
|
|
| Task | Agent | Status | Progress | Time | Priority |
|
|
|------|-------|--------|----------|------|----------|
|
|
| **2.1** Reddit Client Implementation | API Integration Specialist | 🟡 Not Started | 0% | 4h | 🔴 Blocking |
|
|
| **2.2** OpenRouter Sentiment Analysis | LLM Integration Specialist | 🟡 Not Started | 0% | 3h | 🟠 Medium |
|
|
| **2.3** Vector Embedding Generation | ML Integration Specialist | 🟡 Not Started | 0% | 2h | 🟠 Medium |
|
|
| **2.4** Service Layer Implementation | Service Integration Specialist | 🟡 Not Started | 0% | 3h | 🟠 Medium |
|
|
|
|
#### Phase 2 Dependencies
|
|
- All tasks can run in parallel initially
|
|
- Task 2.4 depends on completion of Tasks 2.1, 2.2, 2.3
|
|
|
|
#### Phase 2 Acceptance Criteria
|
|
- [ ] PRAW Reddit client with rate limiting and error handling
|
|
- [ ] OpenRouter sentiment analysis with social media-specific prompts
|
|
- [ ] Vector embeddings (1536-dim) for titles and content using text-embedding-3-large
|
|
- [ ] SocialMediaService orchestrating collection, sentiment, and embeddings
|
|
|
|
---
|
|
|
|
## Phase 3: Integration & Validation (8 hours)
|
|
|
|
### 🎯 AgentToolkit & Pipeline
|
|
|
|
| Task | Agent | Status | Progress | Time | Priority |
|
|
|------|-------|--------|----------|------|----------|
|
|
| **3.1** AgentToolkit Integration | Agent Integration Specialist | 🟡 Not Started | 0% | 3h | 🔴 High |
|
|
| **3.2** Dagster Pipeline Implementation | Pipeline Specialist | 🟡 Not Started | 0% | 2h | 🟠 Medium |
|
|
| **3.3** Comprehensive Testing Suite | Testing Specialist | 🟡 Not Started | 0% | 3h | 🔴 High |
|
|
|
|
#### Phase 3 Dependencies
|
|
- Task 3.1 depends on Task 2.4 (SocialMediaService)
|
|
- Task 3.2 depends on Task 2.4
|
|
- Task 3.3 can start after any component is implemented
|
|
|
|
#### Phase 3 Acceptance Criteria
|
|
- [ ] AgentToolkit RAG methods: `get_reddit_sentiment()`, `get_reddit_stock_info()`, etc.
|
|
- [ ] Daily Dagster pipeline with sentiment analysis and embedding generation
|
|
- [ ] >85% test coverage with VCR cassettes and mocked dependencies
|
|
|
|
---
|
|
|
|
## Current Blocking Issues
|
|
|
|
| Issue | Impact | Affected Tasks | Resolution |
|
|
|-------|---------|----------------|------------|
|
|
| No active blocking issues | - | - | Ready to start Phase 1 |
|
|
|
|
---
|
|
|
|
## Implementation Readiness
|
|
|
|
### Prerequisites Status
|
|
| Requirement | Status | Notes |
|
|
|-------------|---------|-------|
|
|
| PostgreSQL + Extensions | ✅ Available | TimescaleDB + pgvectorscale ready |
|
|
| Reddit API Credentials | ⚠️ Required | Need REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET |
|
|
| OpenRouter API Access | ✅ Available | Existing OpenRouterClient integration |
|
|
| Database Migration System | ✅ Available | Existing migration infrastructure |
|
|
| Testing Framework | ✅ Available | pytest, pytest-vcr, pytest-asyncio |
|
|
|
|
### Risk Assessment
|
|
| Risk Level | Tasks | Mitigation |
|
|
|------------|-------|------------|
|
|
| 🔴 **High** | 2.1 (Reddit Client) | Use proven PRAW library, implement circuit breaker |
|
|
| 🟠 **Medium** | 1.1, 1.4, 2.2, 2.4 | Follow existing news domain patterns |
|
|
| 🟢 **Low** | 1.2, 1.3, 2.3, 3.1, 3.2, 3.3 | Standard implementation patterns |
|
|
|
|
---
|
|
|
|
## Key Success Metrics
|
|
|
|
### Technical Metrics
|
|
- [ ] **Database Performance:** <1s vector similarity queries for top 10 results
|
|
- [ ] **API Performance:** <2s social context generation for AI agents
|
|
- [ ] **Processing Performance:** <5s batch processing for 1000 posts
|
|
- [ ] **Test Coverage:** >85% across all socialmedia domain components
|
|
- [ ] **Data Quality:** >80% posts with reliable sentiment analysis
|
|
|
|
### Integration Metrics
|
|
- [ ] **AgentToolkit Integration:** 4 RAG methods implemented and tested
|
|
- [ ] **Dagster Pipeline:** Daily automated collection with monitoring
|
|
- [ ] **Architecture Consistency:** Follows news domain patterns exactly
|
|
- [ ] **Error Resilience:** Graceful degradation on API failures
|
|
|
|
### Business Metrics
|
|
- [ ] **Data Collection:** 400+ posts collected daily from financial subreddits
|
|
- [ ] **Sentiment Analysis:** Structured scoring with confidence levels
|
|
- [ ] **Semantic Search:** Vector-based similarity search operational
|
|
- [ ] **Agent Context:** Rich social media context for trading decisions
|
|
|
|
---
|
|
|
|
## Next Steps
|
|
|
|
### Immediate Actions (Next Sprint)
|
|
1. **🚀 Start Phase 1:** Begin database schema migration (Task 1.1)
|
|
2. **📋 Environment Setup:** Configure Reddit API credentials
|
|
3. **👥 Agent Assignment:** Assign specialized agents to parallel tasks
|
|
4. **📊 Progress Tracking:** Update status after each task completion
|
|
|
|
### Phase Transition Criteria
|
|
**Phase 1 → Phase 2:** All foundation tasks complete, database operational
|
|
**Phase 2 → Phase 3:** Service layer operational, sentiment and embeddings working
|
|
**Phase 3 → Production:** All tests passing, AgentToolkit integration complete
|
|
|
|
---
|
|
|
|
## Change Log
|
|
|
|
| Date | Change | Impact | Updated By |
|
|
|------|--------|---------|------------|
|
|
| 2024-08-30 | Initial status tracking setup | Baseline established | System |
|
|
|
|
---
|
|
|
|
## Notes and Observations
|
|
|
|
**Implementation Strategy:**
|
|
- Leverage existing news domain as reference implementation
|
|
- Prioritize blocking tasks (database, core models) first
|
|
- Enable parallel development in Phase 2 for efficiency
|
|
- Comprehensive testing throughout to maintain >85% coverage
|
|
|
|
**Key Dependencies:**
|
|
- Reddit API reliability and rate limiting compliance
|
|
- OpenRouter LLM performance for sentiment analysis
|
|
- PostgreSQL vector extension performance at scale
|
|
- Integration with existing TradingAgents configuration
|
|
|
|
**Success Indicators:**
|
|
- Clean migration from file-based to PostgreSQL storage
|
|
- Reliable daily data collection without manual intervention
|
|
- AI agents receiving rich social context within performance targets
|
|
- Production-ready error handling and monitoring
|