Feature/ledger backfill 419#502
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…and idempotency - Add BackfillCheckpoint model to track backfill progress - Add ContractEvent model to store contract events with composite unique key - Implement LedgerBackfillService with full backfill logic: * triggerBackfill: Start new backfill job with checkpoint * resumeBackfill: Resume from last processed ledger * processBackfillBatch: Process batches of ledgers * processLedgerRange: Handle event fetching and storage * getBackfillStatus: Query checkpoint status * listCheckpoints: List and filter checkpoints * pauseBackfill: Pause running jobs - Add LedgerBackfillProcessor for BullMQ job processing - Enhanced LedgerAdminController with new endpoints: * POST /admin/ledger/backfill - Trigger backfill * GET /admin/ledger/backfill - List checkpoints * GET /admin/ledger/backfill/:checkpointId - Get status * POST /admin/ledger/backfill/:checkpointId/resume - Resume job * POST /admin/ledger/backfill/:checkpointId/pause - Pause job - Add comprehensive tests for LedgerBackfillService - Ensure idempotency through composite unique keys on ContractEvent - Support configurable batch sizes and max retry attempts Closes Pulsefy#419
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Ledger Backfill Service for Testnet Contract Events (#419)
Closes #419
Overview
This PR implements a comprehensive ledger backfill service that scans historical contract events from the Stellar Testnet and populates analytics and timelines. The implementation follows best practices for idempotency, resumability, and observability.
✨ Key Features
1. Configurable Ledger Backfill
2. Progress Checkpoint System
3. Idempotent Event Storage
ContractEventmodel(contractId, ledgerSequence, transactionHash, eventIndex)4. Resilient Job Processing
📦 Database Changes
New Models
BackfillCheckpoint
id,jobId,contractId,startLedger,endLedger,lastProcessedLedgerContractEvent
🔌 API Endpoints
All endpoints require admin role and API authentication.
POST
/v1/admin/ledger/backfillTrigger a new backfill job
Request:
{ "contractId": "CCONTRACTID...", "startLedger": 1000, "endLedger": 2000, "campaignId": "campaign_123", "batchSize": 100 }