# Phase 50: Product Launch Tracker - Test Results
## Build Summary
**Status**: ✅ COMPLETE
**Phase**: 50
**Module**: `modules/product_launches.py`
**API Route**: `src/app/api/v1/product-launches/route.ts`
**Total LOC**: 771 (updated in roadmap.ts)
**Registry**: Registered in `cli.py` under `product_launches`
## Implementation Details
### Data Sources (All Free APIs)
1. ✅ **Google Trends (pytrends)** - Search interest, trending queries
2. ✅ **Reddit API** - Social sentiment, mentions, discussions
3. ✅ **Google News RSS** - Media coverage, article velocity
4. ✅ **Product categories** - Tech, automotive, consumer, entertainment
### CLI Commands Implemented
#### 1. `launch-summary PRODUCT_NAME`
Comprehensive product launch analysis combining all data sources
```bash
python cli.py launch-summary "Tesla Cybertruck"
```
**Status**: ✅ TESTED - Returns composite score with Google Trends, Reddit sentiment, news coverage
#### 2. `buzz-tracking PRODUCT_NAME [--timeframe TIMEFRAME]`
Google Trends search interest tracking
```bash
python cli.py buzz-tracking "iPhone 16"
```
**Status**: ✅ TESTED - Returns interest over time, peak values, buzz score
**Note**: Rate-limited after extensive testing (expected behavior)
#### 3. `reddit-sentiment PRODUCT_NAME [--subreddit SUB] [--limit N]`
Reddit mentions and sentiment analysis
```bash
python cli.py reddit-sentiment "PlayStation 5"
```
**Status**: ✅ TESTED - Returns sentiment score, mentions, top discussions
#### 4. `news-coverage PRODUCT_NAME [--days N]`
Media coverage velocity tracking
```bash
python cli.py news-coverage "iPhone 16"
```
**Status**: ✅ TESTED - Returns article count, coverage velocity, top sources
#### 5. `preorder-velocity PRODUCT_NAME [--ticker TICKER]`
Pre-order velocity estimation using search trend acceleration
```bash
python cli.py preorder-velocity "iPhone 16"
```
**Status**: ✅ TESTED - Returns velocity score, trend direction, momentum
#### 6. `trending-products CATEGORY`
Discover trending products by category
```bash
python cli.py trending-products tech
```
**Status**: ✅ TESTED - Returns trending products with buzz scores
## Test Results
### Test 1: Trending Products (tech category)
```json
{
"category": "tech",
"trending_products": [
{"product": "PlayStation", "buzz_score": 77.4, "current_interest": 77.4},
{"product": "Samsung Galaxy", "buzz_score": 76.1, "current_interest": 76.1}
]
}
```
✅ PASS
### Test 2: Buzz Tracking (iPhone 16)
```json
{
"product": "iPhone 16",
"timeframe": "today 3-m",
"buzz_score": 48.1,
"peak_interest": 100,
"current_value": 45,
"interest_over_time": [...]
}
```
✅ PASS
### Test 3: Reddit Sentiment (iPhone 16)
```json
{
"product": "iPhone 16",
"total_mentions": 100,
"average_sentiment": 0.01,
"sentiment_label": "Neutral",
"top_posts": [...]
}
```
✅ PASS
### Test 4: News Coverage (iPhone 16)
```json
{
"product": "iPhone 16",
"days_searched": 30,
"total_articles": 20,
"articles": [...]
}
```
✅ PASS
### Test 5: Pre-Order Velocity (iPhone 16)
```json
{
"product": "iPhone 16",
"pre_order_velocity": -2.6,
"trend_direction": "Stable",
"recent_avg_interest": 69.9
}
```
✅ PASS
### Test 6: Launch Summary (Tesla Cybertruck)
```json
{
"product": "Tesla Cybertruck",
"data_sources": ["Google Trends", "Reddit", "Google News"],
"google_trends": {"buzz_score": 67.4},
"reddit_sentiment": {"sentiment": "Neutral", "total_mentions": 100},
"news_coverage": {"total_articles": 20}
}
```
✅ PASS
## Service Definitions (services.ts)
✅ All 6 services registered with correct parameters:
- launch_summary
- buzz_tracking
- reddit_sentiment
- news_coverage
- preorder_velocity
- trending_products
## API Route (route.ts)
✅ GET and POST handlers implemented
✅ Parameter validation
✅ JSON output format
✅ Error handling with 30s timeout
## Roadmap Update
✅ Phase 50 status changed from "planned" → "done"
✅ LOC count added: 771 lines
## Dependencies
All using free APIs (no API keys required):
- pytrends (Google Trends)
- feedparser (RSS parsing)
- requests (HTTP client)
- BeautifulSoup4 (HTML parsing)
## Notes
- Google Trends API has rate limiting (429 errors after extensive use) - expected behavior
- Reddit data fetched via RSS feeds (no auth required)
- Google News via RSS (no API key needed)
- All commands output valid JSON for MCP tool integration
- Comprehensive error handling for missing dependencies
## Conclusion
✅ **Phase 50 Complete**
All CLI commands functional, API routes working, services registered, roadmap updated.