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Step 6: Testing & Deployment

Testing & Deployment is the final step where you validate your API configuration, test all functionality, and deploy your API to production.

Overview

The Testing & Deployment step allows you to:

  • Test your API with various data scenarios

  • Validate form integrations and field mappings

  • Deploy your API to production

  • Set up monitoring and analytics

Testing Your API

Manual Testing

Test Data Preparation

Create comprehensive test data covering various scenarios:

json
{
  "valid_submission": {
    "name": "John Doe",
    "email": "john@example.com",
    "rating": 5,
    "feedback": "Great product! Highly recommended."
  },
  "minimal_submission": {
    "name": "Jane Smith",
    "email": "jane@example.com",
    "rating": 3
  },
  "edge_case_submission": {
    "name": "A",
    "email": "a@b.c",
    "rating": 1,
    "feedback": "x".repeat(1000)
  },
  "invalid_submission": {
    "name": "",
    "email": "invalid-email",
    "rating": 6,
    "feedback": ""
  }
}

API Endpoint Testing

Test your API endpoint directly:

bash
# Test valid submission
curl -X POST https://your-api.com/endpoint/user-feedback \
  -H "Content-Type: application/json" \
  -d '{
    "name": "John Doe",
    "email": "john@example.com",
    "rating": 5,
    "feedback": "Great product!"
  }'

# Test invalid submission
curl -X POST https://your-api.com/endpoint/user-feedback \
  -H "Content-Type: application/json" \
  -d '{
    "name": "",
    "email": "invalid-email",
    "rating": 6
  }'

# Test with missing required fields
curl -X POST https://your-api.com/endpoint/user-feedback \
  -H "Content-Type: application/json" \
  -d '{
    "name": "John Doe"
  }'

Form Integration Testing

Test your connected forms:

  1. Typeform Testing

    • Submit test responses through Typeform

    • Verify data reaches your API correctly

    • Check field mapping accuracy

  2. Google Forms Testing

    • Submit test responses through Google Forms

    • Verify webhook delivery

    • Check data transformation

  3. Custom HTML Form Testing

    • Test form submission in browser

    • Verify JavaScript functionality

    • Check error handling

Automated Testing

Unit Tests

Test individual validation rules:

javascript
// Test email validation
describe('Email Validation', () => {
  test('valid email should pass', () => {
    const result = validateEmail('john@example.com');
    expect(result.valid).toBe(true);
  });

  test('invalid email should fail', () => {
    const result = validateEmail('invalid-email');
    expect(result.valid).toBe(false);
    expect(result.error).toBe('Please enter a valid email address');
  });
});

// Test rating validation
describe('Rating Validation', () => {
  test('rating 1-5 should pass', () => {
    const result = validateRating(5);
    expect(result.valid).toBe(true);
  });

  test('rating outside range should fail', () => {
    const result = validateRating(6);
    expect(result.valid).toBe(false);
    expect(result.error).toBe('Rating must be between 1 and 5');
  });
});

Integration Tests

Test form-to-API connections:

javascript
// Test Typeform integration
describe('Typeform Integration', () => {
  test('should process Typeform webhook', async () => {
    const webhookPayload = {
      form_id: 'abc123',
      answers: [
        {
          field: { id: 'name_12345' },
          text: 'John Doe'
        },
        {
          field: { id: 'email_67890' },
          email: 'john@example.com'
        }
      ]
    };

    const response = await processTypeformWebhook(webhookPayload);
    expect(response.success).toBe(true);
    expect(response.data.name).toBe('John Doe');
    expect(response.data.email).toBe('john@example.com');
  });
});

// Test API endpoint
describe('API Endpoint', () => {
  test('should accept valid submission', async () => {
    const submission = {
      name: 'John Doe',
      email: 'john@example.com',
      rating: 5,
      feedback: 'Great product!'
    };

    const response = await fetch('/endpoint/user-feedback', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(submission)
    });

    expect(response.status).toBe(201);
    const data = await response.json();
    expect(data.success).toBe(true);
    expect(data.data.name).toBe('John Doe');
  });
});

Load Testing

Test API performance under load:

javascript
// Load test configuration
const loadTestConfig = {
  url: 'https://your-api.com/endpoint/user-feedback',
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: {
    name: 'Load Test User',
    email: 'loadtest@example.com',
    rating: 5,
    feedback: 'Load test feedback'
  },
  concurrency: 100,
  duration: '5m',
  expectedResponseTime: 500
};

// Run load test
const results = await runLoadTest(loadTestConfig);
console.log('Load Test Results:', results);

Security Testing

Authentication Testing

javascript
// Test API key authentication
describe('Authentication', () => {
  test('valid API key should work', async () => {
    const response = await fetch('/endpoint/user-feedback', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer valid-api-key'
      },
      body: JSON.stringify(validSubmission)
    });

    expect(response.status).toBe(201);
  });

  test('invalid API key should fail', async () => {
    const response = await fetch('/endpoint/user-feedback', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer invalid-api-key'
      },
      body: JSON.stringify(validSubmission)
    });

    expect(response.status).toBe(401);
  });
});

Input Validation Testing

javascript
// Test SQL injection prevention
describe('Security', () => {
  test('should prevent SQL injection', async () => {
    const maliciousInput = {
      name: "'; DROP TABLE users; --",
      email: 'test@example.com',
      rating: 5
    };

    const response = await fetch('/endpoint/user-feedback', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(maliciousInput)
    });

    expect(response.status).toBe(422);
    const data = await response.json();
    expect(data.errors[0].code).toBe('INVALID_INPUT');
  });

  test('should prevent XSS attacks', async () => {
    const xssInput = {
      name: '<script>alert("XSS")</script>',
      email: 'test@example.com',
      rating: 5
    };

    const response = await fetch('/endpoint/user-feedback', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(xssInput)
    });

    expect(response.status).toBe(201);
    const data = await response.json();
    expect(data.data.name).not.toContain('<script>');
  });
});

Pre-Deployment Checklist

Configuration Review

  • [ ] Endpoint Configuration

    • [ ] Endpoint name and description are correct

    • [ ] URL path is properly configured

    • [ ] HTTP methods are set correctly

  • [ ] Field Configuration

    • [ ] All required fields are defined

    • [ ] Field types and validation rules are correct

    • [ ] Optional fields are properly configured

  • [ ] Form Integration

    • [ ] Form connections are working

    • [ ] Field mapping is accurate

    • [ ] Data transformation is functioning

  • [ ] Validation Rules

    • [ ] All validation rules are tested

    • [ ] Error messages are user-friendly

    • [ ] Business logic validation is working

  • [ ] Response Configuration

    • [ ] Success responses are properly formatted

    • [ ] Error responses include helpful information

    • [ ] Response headers are configured correctly

Security Review

  • [ ] Authentication

    • [ ] API keys are properly configured

    • [ ] Authentication is required for sensitive endpoints

    • [ ] Token expiration is set appropriately

  • [ ] Input Validation

    • [ ] All inputs are validated

    • [ ] SQL injection prevention is in place

    • [ ] XSS prevention is implemented

  • [ ] Rate Limiting

    • [ ] Rate limits are configured

    • [ ] Rate limit headers are included in responses

    • [ ] Rate limit errors are handled gracefully

Performance Review

  • [ ] Response Times

    • [ ] API responds within acceptable time limits

    • [ ] Database queries are optimized

    • [ ] Caching is implemented where appropriate

  • [ ] Scalability

    • [ ] API can handle expected load

    • [ ] Database connections are properly managed

    • [ ] Error handling doesn't cause performance issues

Deployment Process

Deployment Steps

  1. Final Configuration Review

    • Review all settings one final time

    • Verify environment variables are set

    • Check database connections

  2. Deploy to Production

    • Deploy API to production environment

    • Verify deployment is successful

    • Check health endpoints

  3. Update Documentation

    • Generate API documentation

    • Update endpoint URLs

    • Create usage examples

  4. Configure Monitoring

    • Set up performance monitoring

    • Configure error tracking

    • Set up alerting

Post-Deployment Verification

Health Checks

bash
# Check API health
curl -X GET https://your-api.com/health

# Check endpoint availability
curl -X GET https://your-api.com/endpoint/user-feedback

# Test with valid data
curl -X POST https://your-api.com/endpoint/user-feedback \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Test User",
    "email": "test@example.com",
    "rating": 5,
    "feedback": "Post-deployment test"
  }'

Integration Testing

  1. Test Form Submissions

    • Submit test data through connected forms

    • Verify data reaches your API

    • Check response handling

  2. Test Error Scenarios

    • Submit invalid data

    • Test rate limiting

    • Verify error responses

  3. Test Performance

    • Monitor response times

    • Check for memory leaks

    • Verify database performance

Monitoring & Analytics

Performance Monitoring

Key Metrics

  • Response Time: Average, median, and 95th percentile

  • Throughput: Requests per second

  • Error Rate: Percentage of failed requests

  • Availability: Uptime percentage

Monitoring Setup

javascript
// Performance monitoring configuration
const monitoringConfig = {
  metrics: {
    responseTime: true,
    throughput: true,
    errorRate: true,
    availability: true
  },
  alerts: {
    responseTime: { threshold: 1000, unit: 'ms' },
    errorRate: { threshold: 5, unit: 'percent' },
    availability: { threshold: 99.9, unit: 'percent' }
  },
  reporting: {
    frequency: '1m',
    retention: '30d',
    dashboard: true
  }
};

Business Analytics

Usage Metrics

  • Submission Volume: Number of submissions per day/week/month

  • Field Completion: Which fields are most/least used

  • Error Analysis: Most common validation failures

  • User Behavior: Submission patterns and trends

Analytics Dashboard

javascript
// Analytics configuration
const analyticsConfig = {
  metrics: {
    submissions: {
      total: true,
      daily: true,
      weekly: true,
      monthly: true
    },
    fields: {
      completion: true,
      validation: true,
      usage: true
    },
    errors: {
      frequency: true,
      types: true,
      resolution: true
    }
  },
  reporting: {
    frequency: '1h',
    retention: '1y',
    dashboard: true,
    exports: ['csv', 'json']
  }
};

Error Tracking

Error Monitoring

javascript
// Error tracking configuration
const errorTrackingConfig = {
  capture: {
    errors: true,
    warnings: true,
    performance: true
  },
  context: {
    request: true,
    user: false,
    environment: true
  },
  alerting: {
    email: ['admin@company.com'],
    slack: '#alerts',
    threshold: 10
  }
};

Maintenance & Updates

Regular Maintenance

Weekly Tasks

  • [ ] Review error logs and resolve issues

  • [ ] Check performance metrics

  • [ ] Update documentation if needed

  • [ ] Review security logs

Monthly Tasks

  • [ ] Analyze usage patterns and trends

  • [ ] Review and update validation rules

  • [ ] Check for security updates

  • [ ] Plan capacity improvements

Quarterly Tasks

  • [ ] Comprehensive security review

  • [ ] Performance optimization review

  • [ ] Update dependencies and libraries

  • [ ] Review and update monitoring configuration

Updates and Improvements

Feature Updates

  1. Plan Updates

    • Identify improvement opportunities

    • Prioritize based on user feedback

    • Plan implementation timeline

  2. Test Updates

    • Test in staging environment

    • Validate all functionality

    • Check performance impact

  3. Deploy Updates

    • Deploy during low-traffic periods

    • Monitor deployment closely

    • Rollback plan ready

Version Management

javascript
// API versioning configuration
const versioningConfig = {
  current: '1.0',
  supported: ['1.0'],
  deprecated: [],
  sunset: [],
  migration: {
    '1.0': {
      '2.0': {
        breaking: true,
        migrationGuide: '/docs/migration/1.0-to-2.0'
      }
    }
  }
};

Troubleshooting

Common Issues

Performance Issues

  • Slow Response Times

    • Check database query performance

    • Review caching configuration

    • Monitor server resources

  • High Error Rates

    • Review error logs

    • Check validation rules

    • Verify form integrations

Integration Issues

  • Form Not Submitting

    • Check webhook configuration

    • Verify field mapping

    • Test form independently

  • Data Not Reaching API

    • Check network connectivity

    • Verify authentication

    • Review error logs

Getting Help

Support Resources

  • Documentation: Check API documentation and guides

  • Logs: Review application and error logs

  • Monitoring: Check performance and error metrics

  • Community: Reach out to support team

Debugging Tools

bash
# Check API status
curl -X GET https://your-api.com/status

# Test specific endpoint
curl -X POST https://your-api.com/endpoint/user-feedback \
  -H "Content-Type: application/json" \
  -d '{"name": "Debug Test", "email": "debug@example.com", "rating": 5}'

# Check logs
tail -f /var/log/api.log

Next Steps

After successful deployment:

  1. Monitor Performance - Keep an eye on metrics and alerts
  2. Collect Feedback - Gather user feedback and usage data
  3. Iterate and Improve - Plan updates and enhancements
  4. Scale as Needed - Adjust capacity based on usage