Cleanup: Add migration scripts to gitignore and remove from tracking
- Add debug_usage.py, fix_database.py, migrate_usage_summaries.py, simple_migrate.py, validate_implementation.py to .gitignore - Add CAMERA_SELFIE_IMPLEMENTATION.md to .gitignore - Remove these files from git tracking (keep locally)
This commit is contained in:
ajaysi
10
.gitignore
vendored
10
.gitignore
vendored
@@ -261,3 +261,13 @@ docs/__pycache__/
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backend/.onboarding_progress*.json
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backend/researchtools_text/projects/Draft__AI_advanc_c2f90698.json
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backend/researchtools_text/projects/Draft__AI_adv_388d4491.json
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# Migration and debug scripts
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debug_usage.py
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fix_database.py
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migrate_usage_summaries.py
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simple_migrate.py
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validate_implementation.py
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# Camera selfie implementation (not needed)
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CAMERA_SELFIE_IMPLEMENTATION.md
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@@ -1,137 +0,0 @@
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# Camera Selfie Feature - Implementation Complete
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## ✅ **Feature Successfully Implemented**
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The camera selfie feature has been successfully added to the Podcast Maker's avatar upload section.
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## 🚀 **What Was Built**
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### 1. **CameraSelfie Component** (`CameraSelfie.tsx`)
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- **Full camera functionality** using MediaDevices API
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- **Live video preview** with mirror effect for natural selfie experience
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- **Camera controls**: Capture, flip camera, close
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- **Face positioning guide** overlay for better framing
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- **Comprehensive error handling** for permissions and device limitations
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- **Mobile support** with front/back camera switching
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- **Responsive design** for desktop and mobile
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### 2. **AvatarSelector Integration**
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- **New "Take Selfie" tab** added before "Upload Your Photo"
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- **Seamless integration** with existing avatar flow
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- **Consistent UI/UX** matching current design patterns
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- **Updated help text** to include camera option
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### 3. **CreateModal Integration**
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- **Camera state management** with React hooks
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- **Image processing**: DataURL → File conversion
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- **Upload integration**: Reuses existing upload logic
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- **Error handling** for camera capture failures
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## 🎯 **Key Features**
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### **Camera Experience**
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- **One-click camera access** from avatar selector
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- **Live preview** with natural mirror effect
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- **Face guide overlay** to help users position themselves
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- **Camera flip** for mobile devices (front/back)
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- **Instant capture** with visual feedback
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### **Technical Features**
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- **MediaDevices API** for camera access
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- **Canvas-based image capture** with proper formatting
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- **File conversion** to maintain compatibility with existing upload flow
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- **Permission handling** with user-friendly error messages
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- **Resource cleanup** to prevent camera leaks
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### **User Experience**
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- **Intuitive tab placement** before file upload
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- **Clear visual indicators** and instructions
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- **Graceful fallback** to file upload if camera unavailable
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- **Consistent styling** with existing UI components
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## 📱 **Browser Compatibility**
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### **Supported**
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- ✅ Modern browsers with MediaDevices API support
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- ✅ Chrome 60+, Firefox 55+, Safari 11+, Edge 79+
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- ✅ Mobile browsers with camera access
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### **Fallback Handling**
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- ❌ Camera not available → Shows message with file upload suggestion
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- ❌ Permission denied → Clear instructions to enable camera
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- ❌ Camera in use → User-friendly error message
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## 🔧 **How It Works**
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### **User Flow**
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1. User clicks "Take Selfie" tab in avatar selector
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2. Camera dialog opens with live preview
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3. User positions face using guide overlay
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4. User clicks capture button (or uses controls)
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5. Image is processed and uploaded automatically
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6. User can use "Make Presentable" feature like uploaded photos
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### **Technical Flow**
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1. `setCameraSelfieOpen(true)` opens camera dialog
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2. `CameraSelfie` component requests camera access
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3. Live video stream displayed with mirror effect
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4. User captures photo → canvas conversion
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5. DataURL passed to `handleCameraSelfie`
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6. DataURL → File conversion and upload
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7. Integration with existing avatar preview system
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## 🎨 **UI Components**
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### **Camera Dialog**
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- **Modal dialog** with full-screen camera view
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- **Control overlay** at bottom with capture, flip, close buttons
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- **Face guide** overlay in center
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- **Loading states** and error messages
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### **Tab Integration**
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- **New tab** with camera icon
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- **Consistent styling** with existing tabs
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- **Hover effects** and visual feedback
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- **Help text** updates
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## 🔍 **Files Modified/Created**
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### **New Files**
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- `frontend/src/components/PodcastMaker/CameraSelfie.tsx` - Full camera component
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### **Modified Files**
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- `frontend/src/components/PodcastMaker/CreateStep/AvatarSelector.tsx` - Added camera tab and integration
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- `frontend/src/components/PodcastMaker/CreateModal.tsx` - Added camera state and handlers
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## 🧪 **Testing Instructions**
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### **Manual Testing**
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1. Start frontend development server
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2. Navigate to Podcast Maker
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3. Click "Create New Podcast"
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4. Select "Take Selfie" tab in avatar section
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5. Grant camera permissions when prompted
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6. Test camera preview and capture functionality
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7. Verify "Make Presentable" works with captured photo
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8. Test error scenarios (deny permission, no camera)
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### **Test Scenarios**
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- ✅ Camera permission granted
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- ✅ Camera permission denied
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- ✅ No camera available
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- ✅ Camera already in use
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- ✅ Mobile camera switching
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- ✅ Image capture and upload
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- ✅ Integration with "Make Presentable"
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- ✅ Avatar removal and re-capture
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## 🎉 **Ready for Production**
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The camera selfie feature is now fully implemented and ready for user testing. It provides a modern, intuitive way for users to capture their podcast presenter photos directly from their device camera, with full integration into the existing avatar upload and enhancement workflow.
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**Key Benefits:**
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- 📸 **Faster than file upload** - No need to find and select photos
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- 🎯 **Better framing** - Face guide helps users position themselves correctly
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- 📱 **Mobile optimized** - Native camera experience on phones
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- 🔄 **Seamless integration** - Works with existing "Make Presentable" feature
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- 🛡️ **Robust error handling** - Graceful fallbacks and clear instructions
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@@ -1,64 +0,0 @@
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import sys
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import os
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from sqlalchemy import create_engine, text
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from sqlalchemy.orm import sessionmaker
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# Add backend to path
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sys.path.append(os.path.join(os.getcwd(), 'backend'))
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from services.database import Base
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from models.subscription_models import APIUsageLog, UserSubscription
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from services.subscription import UsageTrackingService, PricingService
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# Setup DB connection
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# dynamic path resolution as per codebase
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DB_PATH = os.path.join(os.getcwd(), 'backend', 'data', 'alwrity.db')
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# Note: The codebase might use user-specific DBs now.
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# Let's check how get_db works or if we need to look at a specific user db.
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# user_memories says: Database path updated to `workspace/workspace_{user_id}/db/alwrity.db` to support user isolation.
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USER_ID = "user_33Gz1FPI86VDXhRY8QN4ragRFGN"
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WORKSPACE_DB_PATH = os.path.join(os.getcwd(), 'workspace', f'workspace_{USER_ID}', 'db', 'alwrity.db')
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print(f"Checking specific user DB at: {WORKSPACE_DB_PATH}")
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if os.path.exists(WORKSPACE_DB_PATH):
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db_url = f"sqlite:///{WORKSPACE_DB_PATH}"
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else:
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print(f"User DB not found at {WORKSPACE_DB_PATH}, falling back to main DB for check (legacy/shared mode)")
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db_url = f"sqlite:///backend/data/alwrity.db"
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engine = create_engine(db_url)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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db = SessionLocal()
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try:
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print(f"\n--- Checking Usage for User: {USER_ID} ---")
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# Check API Usage Logs
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logs_count = db.query(APIUsageLog).filter(APIUsageLog.user_id == USER_ID).count()
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print(f"Total API Usage Logs: {logs_count}")
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if logs_count > 0:
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last_log = db.query(APIUsageLog).filter(APIUsageLog.user_id == USER_ID).order_by(APIUsageLog.created_at.desc()).first()
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print(f"Last Activity: {last_log.created_at} - {last_log.endpoint} ({last_log.provider})")
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# Check Subscription
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sub = db.query(UserSubscription).filter(UserSubscription.user_id == USER_ID).first()
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if sub:
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print(f"Subscription: {sub.plan_type} (Status: {sub.status})")
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else:
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print("No subscription record found.")
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# Run Service Logic
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print("\n--- Running UsageTrackingService.get_user_usage_stats ---")
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usage_service = UsageTrackingService(db)
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stats = usage_service.get_user_usage_stats(USER_ID)
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print("Stats returned:")
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print(stats)
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except Exception as e:
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print(f"Error: {e}")
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finally:
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db.close()
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@@ -1,74 +0,0 @@
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"""
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Quick fix for missing wavespeed columns in usage_summaries table
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Run this script to fix the database schema issue
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"""
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import sqlite3
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import os
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def fix_database():
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# Find database file
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db_path = None
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for path in ["backend/database.db", "database.db"]:
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if os.path.exists(path):
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db_path = path
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break
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if not db_path:
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print("❌ Database not found!")
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print("Please make sure you're running this from the project root directory")
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return
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print(f"📁 Using database: {db_path}")
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try:
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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# Check if table exists
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='usage_summaries'")
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if not cursor.fetchone():
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print("❌ Table 'usage_summaries' not found!")
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return
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# Get current columns
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cursor.execute("PRAGMA table_info(usage_summaries)")
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columns = [row[1] for row in cursor.fetchall()]
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# Columns that need to be added
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missing_columns = []
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required_columns = [
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'wavespeed_calls', 'tavily_calls', 'serper_calls', 'metaphor_calls',
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'firecrawl_calls', 'stability_calls', 'exa_calls', 'video_calls',
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'image_edit_calls', 'audio_calls', 'wavespeed_tokens', 'wavespeed_cost',
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'tavily_cost', 'serper_cost', 'metaphor_cost', 'firecrawl_cost',
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'stability_cost', 'exa_cost', 'video_cost', 'image_edit_cost', 'audio_cost'
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]
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for col in required_columns:
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if col not in columns:
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missing_columns.append(col)
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if missing_columns:
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print(f"➕ Adding {len(missing_columns)} missing columns...")
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for col in missing_columns:
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if col.endswith('_calls') or col.endswith('_tokens'):
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cursor.execute(f"ALTER TABLE usage_summaries ADD COLUMN {col} INTEGER DEFAULT 0")
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else: # cost columns
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cursor.execute(f"ALTER TABLE usage_summaries ADD COLUMN {col} FLOAT DEFAULT 0.0")
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print(f" ✅ Added {col}")
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conn.commit()
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print("🎉 Database schema updated successfully!")
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else:
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print("✅ All columns already exist!")
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conn.close()
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except Exception as e:
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print(f"❌ Error: {e}")
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if __name__ == "__main__":
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print("🔧 Fixing database schema for usage_summaries...")
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fix_database()
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print("✅ Done!")
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@@ -1,131 +0,0 @@
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#!/usr/bin/env python3
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"""
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Migration script to add missing wavespeed columns to usage_summaries table
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"""
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import sqlite3
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import sys
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import os
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from pathlib import Path
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def get_db_path():
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"""Find the database file"""
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# Look for common database locations
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possible_paths = [
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"backend/database.db",
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"backend/data/database.db",
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"database.db",
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"data/database.db"
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]
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for path in possible_paths:
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if os.path.exists(path):
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return path
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# If not found, check if there's a .db file in backend directory
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backend_dir = Path("backend")
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if backend_dir.exists():
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for db_file in backend_dir.glob("*.db"):
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return str(db_file)
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return None
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def migrate_usage_summaries():
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"""Add missing wavespeed columns to usage_summaries table"""
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db_path = get_db_path()
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if not db_path:
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print("❌ Database file not found!")
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print("Looked in:")
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for path in ["backend/database.db", "backend/data/database.db", "database.db", "data/database.db"]:
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print(f" - {path}")
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return False
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print(f"📁 Using database: {db_path}")
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try:
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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|
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# Check if table exists
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cursor.execute("""
|
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SELECT name FROM sqlite_master
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WHERE type='table' AND name='usage_summaries'
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""")
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if not cursor.fetchone():
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print("❌ Table 'usage_summaries' does not exist!")
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return False
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|
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# Get current columns
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cursor.execute("PRAGMA table_info(usage_summaries)")
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columns = [row[1] for row in cursor.fetchall()]
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print(f"📋 Current columns: {columns}")
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|
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# Columns to add
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columns_to_add = [
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("wavespeed_calls", "INTEGER DEFAULT 0"),
|
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("tavily_calls", "INTEGER DEFAULT 0"),
|
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("serper_calls", "INTEGER DEFAULT 0"),
|
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("metaphor_calls", "INTEGER DEFAULT 0"),
|
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("firecrawl_calls", "INTEGER DEFAULT 0"),
|
||||
("stability_calls", "INTEGER DEFAULT 0"),
|
||||
("exa_calls", "INTEGER DEFAULT 0"),
|
||||
("video_calls", "INTEGER DEFAULT 0"),
|
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("image_edit_calls", "INTEGER DEFAULT 0"),
|
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("audio_calls", "INTEGER DEFAULT 0"),
|
||||
("wavespeed_tokens", "INTEGER DEFAULT 0"),
|
||||
("wavespeed_cost", "FLOAT DEFAULT 0.0"),
|
||||
("tavily_cost", "FLOAT DEFAULT 0.0"),
|
||||
("serper_cost", "FLOAT DEFAULT 0.0"),
|
||||
("metaphor_cost", "FLOAT DEFAULT 0.0"),
|
||||
("firecrawl_cost", "FLOAT DEFAULT 0.0"),
|
||||
("stability_cost", "FLOAT DEFAULT 0.0"),
|
||||
("exa_cost", "FLOAT DEFAULT 0.0"),
|
||||
("video_cost", "FLOAT DEFAULT 0.0"),
|
||||
("image_edit_cost", "FLOAT DEFAULT 0.0"),
|
||||
("audio_cost", "FLOAT DEFAULT 0.0")
|
||||
]
|
||||
|
||||
# Add missing columns
|
||||
added_columns = []
|
||||
for column_name, column_def in columns_to_add:
|
||||
if column_name not in columns:
|
||||
print(f"➕ Adding column: {column_name}")
|
||||
cursor.execute(f"ALTER TABLE usage_summaries ADD COLUMN {column_name} {column_def}")
|
||||
added_columns.append(column_name)
|
||||
else:
|
||||
print(f"✅ Column already exists: {column_name}")
|
||||
|
||||
if added_columns:
|
||||
conn.commit()
|
||||
print(f"🎉 Successfully added {len(added_columns)} columns:")
|
||||
for col in added_columns:
|
||||
print(f" - {col}")
|
||||
else:
|
||||
print("✅ All columns already exist!")
|
||||
|
||||
# Verify the changes
|
||||
cursor.execute("PRAGMA table_info(usage_summaries)")
|
||||
new_columns = [row[1] for row in cursor.fetchall()]
|
||||
print(f"📋 Updated columns: {new_columns}")
|
||||
|
||||
conn.close()
|
||||
return True
|
||||
|
||||
except sqlite3.Error as e:
|
||||
print(f"❌ Database error: {e}")
|
||||
return False
|
||||
except Exception as e:
|
||||
print(f"❌ Unexpected error: {e}")
|
||||
return False
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("🚀 Starting usage_summaries migration...")
|
||||
|
||||
if migrate_usage_summaries():
|
||||
print("✅ Migration completed successfully!")
|
||||
sys.exit(0)
|
||||
else:
|
||||
print("❌ Migration failed!")
|
||||
sys.exit(1)
|
||||
@@ -1,50 +0,0 @@
|
||||
import sqlite3
|
||||
import os
|
||||
|
||||
# Find database
|
||||
db_paths = ["backend/database.db", "backend/data/database.db", "database.db", "data/database.db"]
|
||||
db_path = None
|
||||
|
||||
for path in db_paths:
|
||||
if os.path.exists(path):
|
||||
db_path = path
|
||||
break
|
||||
|
||||
if not db_path:
|
||||
print("Database not found!")
|
||||
exit(1)
|
||||
|
||||
print(f"Using database: {db_path}")
|
||||
|
||||
try:
|
||||
conn = sqlite3.connect(db_path)
|
||||
cursor = conn.cursor()
|
||||
|
||||
# Check table
|
||||
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='usage_summaries'")
|
||||
if not cursor.fetchone():
|
||||
print("Table usage_summaries not found!")
|
||||
exit(1)
|
||||
|
||||
# Get columns
|
||||
cursor.execute("PRAGMA table_info(usage_summaries)")
|
||||
columns = [row[1] for row in cursor.fetchall()]
|
||||
print(f"Columns: {columns}")
|
||||
|
||||
# Check for wavespeed_calls
|
||||
if "wavespeed_calls" in columns:
|
||||
print("✅ wavespeed_calls column exists")
|
||||
else:
|
||||
print("❌ wavespeed_calls column missing")
|
||||
|
||||
# Add the column
|
||||
print("Adding wavespeed_calls column...")
|
||||
cursor.execute("ALTER TABLE usage_summaries ADD COLUMN wavespeed_calls INTEGER DEFAULT 0")
|
||||
conn.commit()
|
||||
print("✅ wavespeed_calls column added")
|
||||
|
||||
conn.close()
|
||||
print("Migration completed!")
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error: {e}")
|
||||
@@ -1,166 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Validation script for the enhanced topic feature implementation.
|
||||
Checks that all files and components are properly implemented.
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import json
|
||||
|
||||
def check_file_exists(filepath, description):
|
||||
"""Check if a file exists."""
|
||||
if os.path.exists(filepath):
|
||||
print(f"✅ {description}: {filepath}")
|
||||
return True
|
||||
else:
|
||||
print(f"❌ {description}: {filepath} (NOT FOUND)")
|
||||
return False
|
||||
|
||||
def check_file_content(filepath, search_strings, description):
|
||||
"""Check if file contains required content."""
|
||||
if not os.path.exists(filepath):
|
||||
print(f"❌ {description}: File not found")
|
||||
return False
|
||||
|
||||
try:
|
||||
with open(filepath, 'r', encoding='utf-8') as f:
|
||||
content = f.read()
|
||||
|
||||
missing = []
|
||||
for search in search_strings:
|
||||
if search not in content:
|
||||
missing.append(search)
|
||||
|
||||
if missing:
|
||||
print(f"❌ {description}: Missing content: {missing}")
|
||||
return False
|
||||
else:
|
||||
print(f"✅ {description}: All required content found")
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"❌ {description}: Error reading file: {e}")
|
||||
return False
|
||||
|
||||
def main():
|
||||
"""Validate the complete implementation."""
|
||||
print("🔍 Validating Enhanced Topic Feature Implementation")
|
||||
print("=" * 60)
|
||||
|
||||
backend_root = "c:\\Users\\diksha rawat\\Desktop\\ALwrity_github\\windsurf\\ALwrity\\backend"
|
||||
frontend_root = "c:\\Users\\diksha rawat\\Desktop\\ALwrity_github\\windsurf\\ALwrity\\frontend\\src\\components\\PodcastMaker"
|
||||
|
||||
checks_passed = 0
|
||||
total_checks = 0
|
||||
|
||||
# Backend Checks
|
||||
print("\n📋 BACKEND VALIDATION")
|
||||
print("-" * 30)
|
||||
|
||||
# Check models.py
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{backend_root}\\api\\podcast\\models.py",
|
||||
["enhanced_ideas: List[str]", "rationales: List[str]"],
|
||||
"Backend Response Model"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Check analysis.py handler
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{backend_root}\\api\\podcast\\handlers\\analysis.py",
|
||||
["Professional & Expert-led angle", "Storytelling & Human interest angle", "Trendy & Contemporary angle"],
|
||||
"Backend Enhancement Prompt"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Check response handling
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{backend_root}\\api\\podcast\\handlers\\analysis.py",
|
||||
["enhanced_ideas[:3]", "rationales[:3]"],
|
||||
"Backend Response Handling"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Frontend Checks
|
||||
print("\n📋 FRONTEND VALIDATION")
|
||||
print("-" * 30)
|
||||
|
||||
# Check modal component
|
||||
total_checks += 1
|
||||
if check_file_exists(
|
||||
f"{frontend_root}\\EnhancedTopicChoicesModal.tsx",
|
||||
"Enhanced Topic Choices Modal Component"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Check modal content
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{frontend_root}\\EnhancedTopicChoicesModal.tsx",
|
||||
["CHOICE_LABELS", "handleChoiceEdit", "handleSelectChoice"],
|
||||
"Modal Component Logic"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Check CreateModal state
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{frontend_root}\\CreateModal.tsx",
|
||||
["enhancedChoices", "enhancedRationales", "choicesModalOpen", "editedChoices"],
|
||||
"CreateModal State Management"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Check CreateModal handlers
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{frontend_root}\\CreateModal.tsx",
|
||||
["handleChoiceSelection", "result.enhanced_ideas", "setChoicesModalOpen(true)"],
|
||||
"CreateModal Event Handlers"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Check API service update
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{frontend_root}\\..\\..\\services\\podcastApi.ts",
|
||||
["enhanced_ideas: string[]", "rationales: string[]"],
|
||||
"Frontend API Service Update"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Check modal import and usage
|
||||
total_checks += 1
|
||||
if check_file_content(
|
||||
f"{frontend_root}\\CreateModal.tsx",
|
||||
["import { EnhancedTopicChoicesModal }", "<EnhancedTopicChoicesModal"],
|
||||
"Modal Integration"
|
||||
):
|
||||
checks_passed += 1
|
||||
|
||||
# Summary
|
||||
print("\n📊 VALIDATION SUMMARY")
|
||||
print("=" * 30)
|
||||
print(f"Checks Passed: {checks_passed}/{total_checks}")
|
||||
print(f"Success Rate: {(checks_passed/total_checks)*100:.1f}%")
|
||||
|
||||
if checks_passed == total_checks:
|
||||
print("\n🎉 ALL CHECKS PASSED! Implementation is complete.")
|
||||
print("\n📝 FEATURE SUMMARY:")
|
||||
print("✅ Backend returns 3 enhanced ideas with rationales")
|
||||
print("✅ Frontend displays choices in editable modal")
|
||||
print("✅ Users can select and edit choices")
|
||||
print("✅ AI gradient styling applied consistently")
|
||||
print("✅ Error handling and fallbacks implemented")
|
||||
print("\n🚀 Ready for testing!")
|
||||
else:
|
||||
print(f"\n⚠️ {total_checks - checks_passed} checks failed. Please review implementation.")
|
||||
|
||||
return checks_passed == total_checks
|
||||
|
||||
if __name__ == "__main__":
|
||||
success = main()
|
||||
sys.exit(0 if success else 1)
|
||||
Reference in New Issue
Block a user