Integrate resource event fetching as Step 4 of both issue and MR
ingestion, gated behind the fetch_resource_events config flag.
Orchestrator changes:
- Add ProgressEvent variants: ResourceEventsFetchStarted,
ResourceEventFetched, ResourceEventsFetchComplete
- Add resource_events_fetched/failed fields to IngestProjectResult
and IngestMrProjectResult
- New enqueue_resource_events_for_entity_type() queries all
issues/MRs for a project and enqueues resource_events jobs via
the dependent queue (INSERT OR IGNORE for idempotency)
- New drain_resource_events() claims jobs in batches, fetches
state/label/milestone events from GitLab API, stores them
atomically via unchecked_transaction, and handles failures
with exponential backoff via fail_job()
- Max-iterations guard prevents infinite retry loops within a
single drain run
- New store_resource_events() + per-type _tx helpers write events
using prepared statements inside a single transaction
- DrainResult struct tracks fetched/failed counts
CLI ingest changes:
- IngestResult gains resource_events_fetched/failed fields
- Progress bar repurposed for resource event fetch phase
(reuses discussion bar with updated template)
- Accumulates event counts from both issue and MR ingestion
CLI sync changes:
- SyncResult gains resource_events_fetched/failed fields
- Accumulates counts from both ingest stages
- print_sync() conditionally displays event counts
- Structured logging includes event counts
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Adds complete merge request ingestion pipeline with a novel two-phase
discussion sync strategy optimized for throughput.
New modules:
- merge_requests.rs: MR upsert with labels/assignees/reviewers handling,
stale MR cleanup, and watermark-based incremental sync
- mr_discussions.rs: Parallel prefetch strategy for MR discussions
Two-phase MR discussion sync:
1. PREFETCH PHASE: Spawn concurrent tasks to fetch discussions for
multiple MRs simultaneously (configurable concurrency, default 8).
Transform and validate in parallel, storing results in memory.
2. WRITE PHASE: Serial database writes to avoid lock contention.
Each MR's discussions written in a single transaction, with
proper stale discussion cleanup.
This approach achieves ~4-8x throughput vs serial fetching while
maintaining database consistency. Transform errors are tracked per-MR
to prevent partial writes from corrupting watermarks.
Orchestrator updates:
- ingest_merge_requests(): Coordinates MR fetch -> discussion sync flow
- Progress callbacks emit MR-specific events for UI feedback
- Respects --full flag to reset discussion watermarks for full resync
The prefetch strategy is critical for MRs which typically have more
discussions than issues, and where API latency dominates sync time.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
