feat: Add complete Python Flask API example with deployment, service, and comprehensive documentation

This commit is contained in:
mik-tf
2025-11-04 12:37:12 -05:00
parent 209d390b53
commit 1a902b3178
5 changed files with 713 additions and 5 deletions

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from flask import Flask, jsonify, request
import random
import datetime
import platform
import os
import math
app = Flask(__name__)
@app.route('/')
def home():
return jsonify({
'api': 'Python Flask Tools API',
'version': '1.0.0',
'description': 'A practical API with useful endpoints for testing and development',
'endpoints': {
'/': 'API information',
'/time': 'Current timestamp',
'/random': 'Random data and quotes',
'/health': 'Health check',
'/calc': 'Mathematical calculations',
'/info': 'System information'
},
'examples': {
'time': '/time',
'random': '/random',
'calc': '/calc?operation=add&a=5&b=3',
'health': '/health'
}
})
@app.route('/time')
def get_time():
return jsonify({
'current_time': datetime.datetime.now().isoformat(),
'timestamp': datetime.datetime.now().timestamp(),
'timezone': 'UTC',
'date': datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
})
@app.route('/random')
def get_random():
quotes = [
'The only way to do great work is to love what you do. - Steve Jobs',
'Life is what happens to you while you are busy making other plans. - John Lennon',
'The future belongs to those who believe in the beauty of their dreams. - Eleanor Roosevelt',
'It is during our darkest moments that we must focus to see the light. - Aristotle',
'The only impossible journey is the one you never begin. - Tony Robbins',
'In the middle of difficulty lies opportunity. - Albert Einstein',
'Success is not final, failure is not fatal: it is the courage to continue that counts. - Winston Churchill',
'The way to get started is to quit talking and begin doing. - Walt Disney'
]
return jsonify({
'quote': random.choice(quotes),
'number': random.randint(1, 100),
'boolean': random.choice([True, False]),
'list_item': random.choice(['apple', 'banana', 'cherry', 'date', 'elderberry']),
'uuid': str(random.randint(1000, 9999)) + '-' + str(random.randint(100, 999)),
'color': random.choice(['#FF6B6B', '#4ECDC4', '#45B7D1', '#96CEB4', '#FFEAA7'])
})
@app.route('/health')
def health_check():
return jsonify({
'status': 'healthy',
'uptime': 'running',
'service': 'Python Flask Tools API',
'timestamp': datetime.datetime.now().isoformat()
}), 200
@app.route('/calc')
def calculate():
try:
operation = request.args.get('operation', 'add')
a = float(request.args.get('a', 0))
b = float(request.args.get('b', 0)) if request.args.get('b') is not None else None
operations = {
'add': lambda x, y: x + y,
'subtract': lambda x, y: x - y,
'multiply': lambda x, y: x * y,
'divide': lambda x, y: x / y if y != 0 else 'Cannot divide by zero',
'power': lambda x, y: x ** y,
'sqrt': lambda x, y: math.sqrt(x) if b is None else 'Only one parameter needed for sqrt',
'modulo': lambda x, y: x % y
}
if operation not in operations:
return jsonify({
'error': f'Operation {operation} not supported',
'available_operations': list(operations.keys())
}), 400
result = operations[operation](a, b)
return jsonify({
'operation': operation,
'a': a,
'b': b,
'result': result,
'calculation': f"{a} {operation} {b} = {result}"
})
except ValueError:
return jsonify({'error': 'Invalid numbers provided. Use /calc?operation=add&a=5&b=3'}), 400
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/info')
def system_info():
return jsonify({
'python_version': platform.python_version(),
'platform': platform.platform(),
'processor': platform.processor(),
'hostname': platform.node(),
'machine': platform.machine(),
'current_directory': os.getcwd(),
'environment': {
'HOSTNAME': os.getenv('HOSTNAME', 'N/A'),
'POD_NAME': os.getenv('POD_NAME', 'N/A')
}
})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000, debug=False)

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apiVersion: apps/v1
kind: Deployment
metadata:
name: python-flask
spec:
replicas: 1
selector:
matchLabels:
app: python-flask
template:
metadata:
labels:
app: python-flask
spec:
containers:
- name: python-flask
image: python:3.11-alpine
ports:
- containerPort: 5000
command: ["/bin/sh", "-c"]
args:
- |
pip install flask &&
python /app/app.py
volumeMounts:
- name: app-code
mountPath: /app
volumes:
- name: app-code
configMap:
name: python-flask-app

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apiVersion: v1
kind: Service
metadata:
name: python-flask-service
spec:
selector:
app: python-flask
ports:
- port: 5000
targetPort: 5000
type: LoadBalancer

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# Mycelium Cloud - Python Flask API Example
A complete, production-ready Python Flask API for deploying dynamic web services on Mycelium Cloud Kubernetes cluster.
## 📁 What This Contains
This directory contains everything you need to deploy a practical Flask API:
- **python-flask.md** - This comprehensive guide
- **python-flask-deployment.yaml** - Flask application deployment
- **python-flask-service.yaml** - Service configuration
- **app.py** - The Flask application source code
## 🚀 Quick Start (2 minutes)
```bash
# 1. Deploy the application
kubectl apply -f python-flask-deployment.yaml
# 2. Create ConfigMap with the Flask app
kubectl create configmap python-flask-app --from-file=app.py
# 3. Create the service
kubectl apply -f python-flask-service.yaml
# 4. Access your API via port-forward
**Option 1: Simple (Recommended)**
```bash
# Keep terminal open, see connection logs (Ctrl+C to stop)
kubectl port-forward service/python-flask-service 5000:5000
```
**Option 2: Advanced (Background)**
```bash
# Start in background
nohup kubectl port-forward service/python-flask-service 5000:5000 > /dev/null 2>&1 &
# Kill when done
lsof -ti:5000 | xargs kill -9
```
# 5. Test the API
curl http://localhost:5000
curl http://localhost:5000/time
curl http://localhost:5000/health
curl http://localhost:5000/random
curl "http://localhost:5000/calc?operation=add&a=5&b=3"
```
**Expected Result:** You'll see a complete API with multiple useful endpoints.
## 📋 What You'll Learn
- ✅ Flask web framework deployment
- ✅ Python application containerization
- ✅ API development and JSON responses
- ✅ RESTful endpoints with parameters
- ✅ Error handling and status codes
- ✅ Container management with ConfigMaps
- ✅ Service creation and networking
- ✅ Port-forwarding for external access (Mycelium Cloud method)
- ✅ Advanced Flask patterns and best practices
## 🏗️ Architecture
This example demonstrates:
```
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ User │ │ Port-Forward │ │ Flask API │ │ Python │
│ (cURL/HTTP) │────│ localhost:5000 │────│ Service │────│ Container │
│ │ │ │ │ :5000 │ │ (Python 3.11) │
└─────────────────┘ └─────────────────┘ └─────────────────┘ └─────────────────┘
┌───────────────┐
│ ConfigMap │
│ (app.py) │
└───────────────┘
```
**Components:**
- **Flask Pod**: Python web application serving multiple endpoints
- **ConfigMap**: Stores the Flask application code (app.py)
- **Service**: LoadBalancer exposing the Flask API
- **Port-Forward**: Mycelium Cloud method for external access
- **Endpoints**: 6 useful API endpoints for testing and development
## 🔥 API Endpoints
### 1. Root Information
```bash
GET /
```
**Response:**
```json
{
"api": "Python Flask Tools API",
"version": "1.0.0",
"description": "A practical API with useful endpoints for testing and development",
"endpoints": {
"/": "API information",
"/time": "Current timestamp",
"/random": "Random data and quotes",
"/health": "Health check",
"/calc": "Mathematical calculations",
"/info": "System information"
},
"examples": {
"time": "/time",
"random": "/random",
"calc": "/calc?operation=add&a=5&b=3",
"health": "/health"
}
}
```
### 2. Current Time
```bash
GET /time
```
**Response:**
```json
{
"current_time": "2025-11-04T17:31:40.387484",
"date": "2025-11-04 17:31:40",
"timestamp": 1762277500.387502,
"timezone": "UTC"
}
```
### 3. Random Data
```bash
GET /random
```
**Response:**
```json
{
"boolean": false,
"color": "#FF6B6B",
"list_item": "banana",
"number": 91,
"quote": "The way to get started is to quit talking and begin doing. - Walt Disney",
"uuid": "8351-328"
}
```
### 4. Health Check
```bash
GET /health
```
**Response:**
```json
{
"service": "Python Flask Tools API",
"status": "healthy",
"timestamp": "2025-11-04T17:31:48.464063",
"uptime": "running"
}
```
### 5. Mathematical Calculations
```bash
GET /calc?operation=add&a=5&b=3
```
**Operations supported:** `add`, `subtract`, `multiply`, `divide`, `power`, `sqrt`, `modulo`
**Response:**
```json
{
"operation": "add",
"a": 5,
"b": 3,
"result": 8,
"calculation": "5 add 3 = 8"
}
```
### 6. System Information
```bash
GET /info
```
**Response:**
```json
{
"python_version": "3.11.14",
"platform": "Linux-6.1.21-x86_64-with-musl",
"processor": "",
"hostname": "python-flask-55fdbf5cb4-cnxrc",
"machine": "x86_64",
"current_directory": "/",
"environment": {
"HOSTNAME": "python-flask-55fdbf5cb4-cnxrc",
"POD_NAME": "N/A"
}
}
```
## 📊 Resource Details
```bash
# Expected output
kubectl get pods
NAME READY STATUS RESTARTS AGE
python-flask-xxxxxx-xxxxx 1/1 Running 0 2m
kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S)
python-flask-service LoadBalancer 10.43.xx.x 10.20.x.x,10.20.x.x 5000:xxxxx/TCP
kubectl get configmap
NAME DATA AGE
python-flask-app 1 1m
```
## 🛠️ API Testing Examples
### Test All Endpoints
```bash
# Test root endpoint
curl http://localhost:5000
# Test time endpoint
curl http://localhost:5000/time
# Test random data
curl http://localhost:5000/random
# Test health check
curl http://localhost:5000/health
# Test calculations
curl "http://localhost:5000/calc?operation=add&a=10&b=5"
curl "http://localhost:5000/calc?operation=multiply&a=7&b=8"
curl "http://localhost:5000/calc?operation=divide&a=20&b=4"
curl "http://localhost:5000/calc?operation=power&a=2&b=3"
# Test system info
curl http://localhost:5000/info
```
### Advanced Testing
```bash
# Test with JSON response formatting
curl -s http://localhost:5000 | jq '.'
curl -s http://localhost:5000/time | jq '.current_time'
# Test error handling
curl "http://localhost:5000/calc?operation=unknown&a=5&b=3"
curl "http://localhost:5000/calc?operation=add&a=invalid&b=3"
# Test multiple random calls
for i in {1..5}; do
curl -s http://localhost:5000/random | jq -r '.quote'
done
```
## 🔧 Customization Guide
### Add New Endpoints
Edit `app.py` to add custom endpoints:
```python
@app.route('/custom')
def custom_endpoint():
return jsonify({
'message': 'This is a custom endpoint',
'data': {'key': 'value'},
'timestamp': datetime.datetime.now().isoformat()
})
```
### Modify Existing Endpoints
```python
@app.route('/random')
def get_random():
# Add your own quotes or data
quotes = [
'Your custom quote here',
'Another custom quote'
]
# ... rest of the function
```
### Update Container Image
To use a different Python version or add packages:
```yaml
# In python-flask-deployment.yaml
- name: python-flask
image: python:3.12-alpine # Use different version
```
```yaml
# In python-flask-deployment.yaml
args:
- |
pip install flask requests && # Add more packages
python /app/app.py
```
### Environment Variables
Add environment-specific configuration:
```yaml
# In python-flask-deployment.yaml
env:
- name: FLASK_ENV
value: "production"
- name: DEBUG
value: "False"
```
## 🚪 Access Methods
### Method 1: Port-Forward (Recommended for Mycelium Cloud)
**Option 1: Simple (Recommended)**
```bash
# Keep terminal open, see connection logs (Ctrl+C to stop)
kubectl port-forward service/python-flask-service 5000:5000
# Access via browser or curl
curl http://localhost:5000
```
**Option 2: Advanced (Background)**
```bash
# Start in background
nohup kubectl port-forward service/python-flask-service 5000:5000 > /dev/null 2>&1 &
# Access via browser or curl
curl http://localhost:5000
```
**Why this works in Mycelium Cloud:**
- LoadBalancer external IPs are internal cluster addresses
- Port-forward creates local tunnel to cluster service
- Reliable and consistent access method
### Method 2: LoadBalancer (For Reference)
Note: In Mycelium Cloud, LoadBalancer external IPs (like 10.20.x.x) are internal cluster IPs and not externally accessible. Use port-forward for external access.
### Method 3: Direct API Testing
Create a test script:
```python
import requests
import json
# Test all endpoints
base_url = "http://localhost:5000"
endpoints = ['/', '/time', '/random', '/health', '/calc?operation=add&a=5&b=3', '/info']
for endpoint in endpoints:
response = requests.get(f"{base_url}{endpoint}")
print(f"GET {endpoint}")
print(json.dumps(response.json(), indent=2))
print("-" * 50)
```
## 🗑️ Resource Cleanup
```bash
# Remove all resources
kubectl delete -f python-flask-deployment.yaml -f python-flask-service.yaml
# Remove the ConfigMap
kubectl delete configmap python-flask-app
# Verify cleanup
kubectl get all -l app=python-flask # Should return nothing
```
## 🔍 Troubleshooting
### Pod Won't Start
```bash
# Check pod status
kubectl get pods -l app=python-flask
# Check pod logs
kubectl logs deployment/python-flask
# Check pod events
kubectl describe pod -l app=python-flask
# Common issues:
# - ConfigMap not found
# - Python package installation failed
# - Port binding errors
```
### API Not Responding
```bash
# Check service endpoints
kubectl get endpoints python-flask-service
# Check if port-forward is working
kubectl port-forward service/python-flask-service 5001:5000 &
curl -v http://localhost:5001
# Test from within cluster
kubectl run test-flask --rm -it --image=curlimages/curl:8.7.1 -- \
sh -lc 'curl http://python-flask-service:5000'
```
### ConfigMap Issues
```bash
# Verify ConfigMap exists
kubectl get configmap python-flask-app
# Check ConfigMap content
kubectl get configmap python-flask-app -o yaml
# Recreate ConfigMap
kubectl delete configmap python-flask-app
kubectl create configmap python-flask-app --from-file=app.py
```
### Flask App Errors
```bash
# Check Flask app logs
kubectl logs deployment/python-flask
# Test Flask app locally
python app.py # Test locally first
# Check for syntax errors
python -m py_compile app.py
```
### Port Forward Fails
```bash
# Check if port is in use
lsof -i :5000
# Try different port
kubectl port-forward service/python-flask-service 5002:5000
curl http://localhost:5002
```
## 📚 More Examples
This is currently one of the complete examples. Future examples will include:
- **python-flask/** - This example (COMPLETED)
- **redis-cache/** - In-memory data caching
- **postgresql/** - Persistent database services
- **wordpress/** - Multi-container CMS deployment
- **nodejs-api/** - Modern JavaScript applications
- **jenkins-cicd/** - Infrastructure automation
- **nextcloud/** - Enterprise file sharing
## 💡 Pro Tips
1. **Start Simple**: Begin with foreground port-forward (`kubectl port-forward`)
2. **Background Optional**: Use `nohup` only when you need persistent access
3. **Port Management**: Use `lsof -ti:PORT` to find and kill processes
4. **Resource Monitoring**: `kubectl get pods -o wide` shows pod distribution
5. **Quick Testing**: Use `curl` for all API testing
6. **Flask Logs**: `kubectl logs deployment/python-flask` for debugging
7. **Config Updates**: Update ConfigMap then restart deployment: `kubectl rollout restart deployment/python-flask`
8. **API Documentation**: The root endpoint (`/`) provides complete API documentation
9. **Error Handling**: Test error cases like invalid operations or missing parameters
10. **Environment Testing**: Test in both development and production modes
## 🎉 Success Indicators
You'll know everything is working when:
-`kubectl get pods` shows python-flask pod in "Running" status
-`kubectl get svc` shows python-flask-service created
-`curl http://localhost:5000` returns API information
- ✅ All endpoints (`/time`, `/random`, `/health`, `/calc`, `/info`) return proper JSON
-`kubectl logs deployment/python-flask` shows Flask starting without errors
- ✅ ConfigMap `python-flask-app` exists and contains app.py
## 🏆 Next Steps
After completing this example, you can:
1. **Customize Endpoints**: Add your own API endpoints
2. **Database Integration**: Connect to persistent databases
3. **Add More Examples**: Try the Redis cache example
4. **Scale Up**: Learn about load balancing with multiple replicas
5. **Advanced Patterns**: Learn about secrets, config maps, and persistent volumes
## 🚀 API Testing Tools
### Postman/Insomnia
Import the API into API testing tools:
```
http://localhost:5000/
http://localhost:5000/time
http://localhost:5000/random
http://localhost:5000/health
http://localhost:5000/calc?operation=add&a=5&b=3
http://localhost:5000/info
```
### Command Line Tools
```bash
# Install jq for JSON formatting
curl http://localhost:5000 | jq '.'
# Create an API test script
cat > test-api.sh << 'EOF'
#!/bin/bash
echo "Testing Python Flask API..."
curl -s http://localhost:5000 | jq '.api'
curl -s http://localhost:5000/time | jq '.current_time'
curl -s http://localhost:5000/random | jq '.quote'
echo "All tests completed!"
EOF
chmod +x test-api.sh
./test-api.sh
```
## 📞 Getting Help
- **Troubleshooting**: Check the troubleshooting section above
- **Mycelium Cloud Docs**: See main repository README
- **Flask Documentation**: https://flask.palletsprojects.com/
- **Kubectl Help**: `kubectl get pods --help` for command reference
- **API Testing**: Use Postman, Insomnia, or curl for testing
- **Support**: Contact Mycelium Cloud support team
For more help, visit our [documentation](../../README.md) or contact support.