Blackboxai/sentiment microservice deployment

DEPLOYMENT_SUMMARY.md

@@ -0,0 +1,358 @@
+# Sentiment Analyzer Microservice - Deployment Summary
+
+## ✅ Current Status
+
+### Code Review Complete
+
+All necessary code is **already in place** and ready for deployment:
+
+1.  **Microservice Implementation** ✅
+    -   Location: `server/djangoapp/microservices/app.py`
+    -   Flask-based sentiment analyzer using NLTK VADER
+    -   Endpoints: `/` (welcome) and `/analyze/<text>` (sentiment analysis)
+2.  **Docker Configuration** ✅
+    -   Location: `server/djangoapp/microservices/Dockerfile`
+    -   Python 3.9.18 base image
+    -   Configured for port 5000
+3.  **Django Integration** ✅
+    -   Location: `server/djangoapp/restapis.py`
+    -   Function `analyze_review_sentiments(text)` already implemented
+    -   Properly handles errors and returns sentiment JSON
+4.  **Deployment Scripts** ✅
+    -   `deploy.sh` - Automated deployment
+    -   `update_env.sh` - Automatic .env configuration
+    -   `test_deployment.sh` - Deployment verification
+5.  **Documentation** ✅
+    -   `README.md` - Complete microservice documentation
+    -   `DEPLOYMENT_GUIDE.md` - Detailed deployment instructions
+    -   `QUICK_DEPLOY.md` - Quick reference commands
+
+## 📋 Deployment Checklist
+
+### Prerequisites
+
+*   \[ ] IBM Cloud CLI installed
+*   \[ ] Docker installed and running
+*   \[ ] Logged into IBM Cloud (`ibmcloud login`)
+*   \[ ] Code Engine plugin installed
+*   \[ ] Environment variable `SN_ICR_NAMESPACE` set
+
+### Deployment Steps
+
+#### Option 1: Automated (Recommended)
+
+```bash
+cd server/djangoapp/microservices
+chmod +x deploy.sh update_env.sh test_deployment.sh
+./deploy.sh
+./update_env.sh
+./test_deployment.sh
+```
+
+#### Option 2: Manual
+
+```bash
+# 1. Navigate to directory
+cd server/djangoapp/microservices
+
+# 2. Build Docker image
+docker build . -t us.icr.io/${SN_ICR_NAMESPACE}/senti_analyzer
+
+# 3. Push to registry
+docker push us.icr.io/${SN_ICR_NAMESPACE}/senti_analyzer
+
+# 4. Deploy to Code Engine
+ibmcloud ce application create --name sentianalyzer \
+    --image us.icr.io/${SN_ICR_NAMESPACE}/senti_analyzer \
+    --registry-secret icr-secret \
+    --port 5000
+
+# 5. Get application URL
+ibmcloud ce application get --name sentianalyzer
+
+# 6. Test deployment
+curl YOUR_URL/analyze/Fantastic%20services
+
+# 7. Update .env file
+echo "sentiment_analyzer_url=YOUR_URL/" >> ../djangoapp/.env
+```
+
+### Post-Deployment
+
+*   \[ ] Application URL obtained
+*   \[ ] Welcome endpoint tested (`/`)
+*   \[ ] Sentiment endpoint tested (`/analyze/Fantastic%20services`)
+*   \[ ] Screenshot taken (URL + JSON response visible)
+*   \[ ] Screenshot saved as `sentiment_analyzer.png` or `sentiment_analyzer.jpeg`
+*   \[ ] `.env` file updated with deployment URL (with trailing `/`)
+*   \[ ] Django integration verified
+
+## 🔍 What's Already Done
+
+### ✅ Code Implementation
+
+The `analyze_review_sentiments()` function in `restapis.py` is **already implemented**:
+
+```python
+def analyze_review_sentiments(text):
+    """Analyze sentiment of review text"""
+    request_url = sentiment_analyzer_url + "analyze/" + text
+    try:
+        # Call get method of requests library with URL and parameters
+        response = requests.get(request_url)
+        return response.json()
+    except Exception as err:
+        print(f"Unexpected {err=}, {type(err)=}")
+        print("Network exception occurred")
+        return {"sentiment": "neutral"}
+```
+
+**No code changes needed!** This function:
+
+*   ✅ Constructs the correct URL
+*   ✅ Makes GET request to microservice
+*   ✅ Returns JSON response
+*   ✅ Handles exceptions properly
+*   ✅ Returns default neutral sentiment on error
+
+### ✅ Environment Configuration
+
+The `.env` file structure is ready:
+
+```
+backend_url=http://localhost:3030
+sentiment_analyzer_url=http://localhost:5050/
+```
+
+**Action Required:** Update `sentiment_analyzer_url` with your Code Engine deployment URL.
+
+## 📁 Files Created
+
+### Deployment Scripts
+
+1.  **deploy.sh** - Complete automated deployment
+2.  **update_env.sh** - Automatic .env file updater
+3.  **test_deployment.sh** - Comprehensive testing script
+
+### Documentation
+
+1.  **README.md** - Complete microservice documentation
+2.  **DEPLOYMENT_GUIDE.md** - Step-by-step deployment guide
+3.  **QUICK_DEPLOY.md** - Quick reference commands
+4.  **DEPLOYMENT_SUMMARY.md** - This file
+
+## 🚀 Quick Start
+
+### For First-Time Deployment
+
+```bash
+cd server/djangoapp/microservices
+chmod +x *.sh
+./deploy.sh && ./update_env.sh && ./test_deployment.sh
+```
+
+### Expected Timeline
+
+*   Docker build: 2-3 minutes
+*   Docker push: 1-2 minutes
+*   Code Engine deploy: 1-2 minutes
+*   Testing: < 1 minute
+*   **Total: ~5-8 minutes**
+
+## 🧪 Testing
+
+### Manual Testing
+
+```bash
+# Test welcome endpoint
+curl https://your-url/
+
+# Test positive sentiment
+curl https://your-url/analyze/Fantastic%20services
+
+# Test negative sentiment
+curl https://your-url/analyze/Terrible%20experience
+
+# Test from Django
+python3 manage.py shell
+>>> from djangoapp.restapis import analyze_review_sentiments
+>>> analyze_review_sentiments("This is amazing")
+{'sentiment': 'positive'}
+```
+
+### Automated Testing
+
+```bash
+./test_deployment.sh
+```
+
+## 📸 Screenshot Requirements
+
+For documentation, take a screenshot showing:
+
+1.  **Browser address bar** with full URL
+2.  **URL format**: `https://your-url/analyze/Fantastic%20services`
+3.  **JSON response**: `{"sentiment": "positive"}`
+4.  **Save as**: `sentiment_analyzer.png` or `sentiment_analyzer.jpeg`
+
+## ⚠️ Important Notes
+
+### .env File Configuration
+
+```bash
+# ✅ CORRECT (with trailing slash)
+sentiment_analyzer_url=https://sentianalyzer.xxxxx.codeengine.appdomain.cloud/
+
+# ❌ WRONG (missing trailing slash)
+sentiment_analyzer_url=https://sentianalyzer.xxxxx.codeengine.appdomain.cloud
+```
+
+### URL Encoding
+
+When testing with spaces or special characters:
+
+```bash
+# Spaces must be encoded as %20
+curl https://your-url/analyze/Fantastic%20services
+
+# Or use quotes
+curl "https://your-url/analyze/Fantastic services"
+```
+
+## 🔧 Troubleshooting
+
+### Issue: Docker build fails
+
+**Solution:**
+
+```bash
+# Ensure Docker is running
+docker ps
+
+# Clear cache and rebuild
+docker system prune -a
+docker build --no-cache -t us.icr.io/${SN_ICR_NAMESPACE}/senti_analyzer .
+```
+
+### Issue: Code Engine deployment fails
+
+**Solution:**
+
+```bash
+# Check if already exists
+ibmcloud ce application list
+
+# Delete and redeploy
+ibmcloud ce application delete --name sentianalyzer
+# Then run deploy.sh again
+```
+
+### Issue: Application not responding
+
+**Solution:**
+
+```bash
+# Check status
+ibmcloud ce application get --name sentianalyzer
+
+# View logs
+ibmcloud ce application logs --name sentianalyzer --follow
+
+# Restart application
+ibmcloud ce application update --name sentianalyzer
+```
+
+### Issue: Sentiment analysis returns wrong results
+
+**Solution:**
+
+*   Verify NLTK data is included in Docker image
+*   Check application logs for errors
+*   Test with simple phrases first
+*   Ensure text is properly URL encoded
+
+## 📊 Architecture
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                     Django Application                       │
+│                                                              │
+│  ┌────────────────────────────────────────────────────┐    │
+│  │  restapis.py                                       │    │
+│  │  ┌──────────────────────────────────────────────┐ │    │
+│  │  │  analyze_review_sentiments(text)             │ │    │
+│  │  │  - Constructs URL                            │ │    │
+│  │  │  - Makes GET request                         │ │    │
+│  │  │  - Returns sentiment JSON                    │ │    │
+│  │  └──────────────────────────────────────────────┘ │    │
+│  └────────────────────────────────────────────────────┘    │
+└───────────────────────┬─────────────────────────────────────┘
+                        │
+                        │ HTTP GET Request
+                        │ /analyze/<text>
+                        ▼
+┌─────────────────────────────────────────────────────────────┐
+│              IBM Code Engine (Microservice)                  │
+│                                                              │
+│  ┌────────────────────────────────────────────────────┐    │
+│  │  Flask Application (app.py)                        │    │
+│  │  ┌──────────────────────────────────────────────┐ │    │
+│  │  │  NLTK VADER Sentiment Analyzer               │ │    │
+│  │  │  - Analyzes text                             │ │    │
+│  │  │  - Calculates sentiment scores               │ │    │
+│  │  │  - Returns classification                    │ │    │
+│  │  └──────────────────────────────────────────────┘ │    │
+│  └────────────────────────────────────────────────────┘    │
+└───────────────────────┬─────────────────────────────────────┘
+                        │
+                        │ JSON Response
+                        │ {"sentiment": "positive"}
+                        ▼
+                   [Client/User]
+```
+
+## 📚 Additional Resources
+
+*   **IBM Code Engine Docs**: https://cloud.ibm.com/docs/codeengine
+*   **NLTK VADER**: https://www.nltk.org/howto/sentiment.html
+*   **Flask Documentation**: https://flask.palletsprojects.com/
+
+## ✅ Success Criteria
+
+Your deployment is successful when:
+
+*   \[ ] Docker image builds without errors
+*   \[ ] Image pushes to IBM Container Registry
+*   \[ ] Code Engine application deploys successfully
+*   \[ ] Welcome endpoint returns welcome message
+*   \[ ] Sentiment endpoint returns correct JSON
+*   \[ ] Screenshot captured with URL and response
+*   \[ ] .env file updated with deployment URL
+*   \[ ] Django app can call microservice successfully
+
+## 🎯 Next Steps After Deployment
+
+1.  **Integrate with Reviews**: Use `analyze_review_sentiments()` in your review submission flow
+2.  **Display Sentiments**: Show sentiment icons (positive/negative/neutral) in UI
+3.  **Monitor Performance**: Check Code Engine metrics and logs
+4.  **Scale if Needed**: Adjust Code Engine scaling settings based on usage
+5.  **Add Features**: Consider batch analysis, confidence scores, etc.
+
+## 📞 Support
+
+If you encounter issues:
+
+1.  Check the troubleshooting section above
+2.  Review `DEPLOYMENT_GUIDE.md` for detailed steps
+3.  Check application logs: `ibmcloud ce application logs --name sentianalyzer`
+4.  Verify all prerequisites are met
+5.  Ensure environment variables are set correctly
+
+---
+
+**Status**: Ready for Deployment ✅
+**Code Changes Required**: None ✅
+**Documentation**: Complete ✅
+**Scripts**: Ready ✅
+
+**You can proceed with deployment immediately!**