Overview
Technical Implementation Guide
Technical details and implementation patterns for our Salesforce NPSP integration
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
The SalesforceIntegration
model (App\Models\SalesforceIntegration
) handles:
Key Implementation Patterns
1. Data Synchronization
Pull Operations
2. Field Mapping
Field mapping is managed through the SalesforceIntegration
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