Technical Implementation Guide
This guide provides technical details about our Salesforce NPSP integration implementation.Integration Architecture
Our Salesforce integration is built on a layered architecture:-
Base Integration Layer
CrmIntegration
base class- Common CRM operations
- Authentication handling
-
Salesforce Specific Layer
Salesforce
class extendingCrmIntegration
- NPSP-specific implementations
- Custom Salesforce API handling
-
Model Layer
SalesforceIntegration
model- Field mapping management
- Integration configuration
Core Classes
Salesforce Integration Class
The main integration class (App\Integrations\Salesforce
) provides:
Salesforce Integration Model
TheSalesforceIntegration
model (App\Models\SalesforceIntegration
) handles:
Key Implementation Patterns
1. Data Synchronization
Pull Operations
2. Field Mapping
Field mapping is managed through theSalesforceIntegration
model:
3. Data Transformation
Payload Compilation
4. Error Handling
The integration implements comprehensive error handling:API Integration Details
Authentication
HTTP Client
Data Models
Core Models
-
Donor Model
- Maps to Salesforce Contact
- Handles individual and organizational donors
- Supports merge operations
-
Transaction Model
- Maps to Salesforce Opportunity
- Includes payment information
- Supports allocations
-
Campaign Model
- Maps to Salesforce Campaign
- Manages campaign members
- Supports events and fundraisers
Supporting Models
-
ScheduledDonation
- Maps to Recurring Donation
- Payment schedule management
-
Pledge
- Maps to NPSP Pledge
- Commitment tracking
-
SoftCredit
- Influence tracking
- Attribution management
Best Practices
1. API Usage
- Implement proper rate limiting
- Use batch operations when possible
- Handle API errors gracefully
- Monitor API call limits
2. Data Management
- Use provided sync methods
- Follow field mapping conventions
- Implement proper validation
- Handle merges correctly
3. Performance
- Implement caching where appropriate
- Use batch operations
- Monitor API call patterns
- Optimize query patterns
4. Security
- Secure token management
- Proper error handling
- Data validation
- Access control
Troubleshooting
Common Issues
-
API Rate Limits
- Monitor API call patterns
- Implement proper retry logic
- Use batch operations
-
Data Synchronization
- Check field mappings
- Verify data transformation
- Monitor sync logs
-
Authentication
- Token refresh handling
- Connection management
- Error recovery
Debugging
-
Logging
- Integration logs
- API call tracking
- Error monitoring
-
Monitoring
- Performance metrics
- API usage
- Sync status
Development Guidelines
-
Code Structure
- Follow existing patterns
- Maintain separation of concerns
- Document new features
-
Testing
- Unit test new features
- Integration testing
- API mocking
-
Documentation
- Update field mappings
- Document new features
- Maintain technical docs