AppSync Contact Form Integration Debugging
Published on April 9, 2024
Issue: Contact Form Submission Failing with 500 Error
During the implementation of the contact form using AWS AppSync, we encountered a 500 Internal Server Error with the message "You are not authorized to make this call". This document outlines our debugging process and the eventual resolution.
Error Details
POST http://localhost:3000/api/contact/submit 500 (Internal Server Error) Error: You are not authorized to make this call
Debugging Process
1. Initial Investigation
- Checked the API route implementation in
src/app/api/contact/submit/route.ts
- Verified the API service implementation in
src/services/api.ts
- Examined the GraphQL mutation in
src/graphql/mutations.ts
2. Environment Variables Verification
NEXT_PUBLIC_APPSYNC_API_URL=https://5o56c4gzlfaohlo7gnaauyffsy.appsync-api.us-east-1.amazonaws.com/graphql NEXT_PUBLIC_APPSYNC_API_KEY=da2-3zzxvx3farclpmnwq7ihrrrx3e
3. AppSync API Configuration Check
Using AWS CLI, we verified the API configuration and API keys:
# List available AppSync APIs aws appsync list-graphql-apis # Check API keys for the ContactFormAPI aws appsync list-api-keys --api-id jdarmqqnpnfvnpsvxzkubf5a7y
4. Code Implementation Review
GraphQL Mutation
export const createContactForm = /* GraphQL */ ` mutation CreateContactForm( $input: CreateContactFormInput! ) { createContactForm(input: $input) { id name email subject message createdAt status } } `;
API Service Implementation
export async function submitContactForm(formData: ContactFormData) { const endpoint = process.env.NEXT_PUBLIC_APPSYNC_API_URL const apiKey = process.env.NEXT_PUBLIC_APPSYNC_API_KEY if (!endpoint || !apiKey) { throw new Error('AppSync configuration missing') } const variables = { input: { id: `contact-${Date.now()}-${Math.random().toString(36).substring(2, 10)}`, createdAt: new Date().toISOString(), name: formData.name, email: formData.email, subject: formData.subject, message: formData.message, status: 'new' } } try { const response = await fetch(endpoint, { method: 'POST', headers: { 'Content-Type': 'application/json', 'x-api-key': apiKey }, body: JSON.stringify({ query: createContactForm, variables }) }) if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`) } const result = await response.json() if (result.errors) { console.error('AppSync errors:', result.errors) throw new Error(result.errors[0].message) } if (!result.data?.createContactForm) { throw new Error('Invalid response format from AppSync') } return result.data.createContactForm } catch (error) { console.error('Error in submitContactForm:', error) if (error instanceof Error) { throw error } throw new Error('Failed to submit contact form') } }
Root Cause Analysis
The error "You are not authorized to make this call" indicated one of several potential issues:
- Schema Mismatch: The GraphQL schema in AppSync didn't match the mutation we were trying to execute
- API Key Permissions: The API key didn't have the necessary permissions to execute the mutation
- Resolver Configuration: The resolver for the
createContactForm
mutation wasn't properly configured
Required AppSync Schema
type ContactForm { id: ID! name: String! email: String! subject: String! message: String! createdAt: AWSDateTime! status: String! } input CreateContactFormInput { id: ID! name: String! email: String! subject: String! message: String! createdAt: AWSDateTime! status: String! } type Mutation { createContactForm(input: CreateContactFormInput!): ContactForm } type Query { getContactForm(id: ID!): ContactForm }
Resolution Steps
- Verify AppSync Schema
- Ensure the schema matches the expected types and mutations
- Check that all required fields are present
- Configure Resolver
- Create a resolver for the
createContactForm
mutation - Set up the DynamoDB data source
- Configure the resolver mapping template
- Create a resolver for the
- API Key Permissions
- Verify the API key has access to the resolver
- Check IAM roles and policies
- Testing
- Use the AppSync console to test the mutation
- Verify the DynamoDB table structure
- Test with sample data
Best Practices
- Error Handling
- Implement comprehensive error handling in the API service
- Log detailed error information for debugging
- Provide user-friendly error messages
- Security
- Never expose API keys in client-side code
- Use environment variables for sensitive information
- Implement proper input validation
- Monitoring
- Set up CloudWatch alarms for API errors
- Monitor DynamoDB table metrics
- Track API usage and performance