Phase 6.6: Add kmsvc Topic Creation (4 methods)
Topic Creation Methods:
1. Manual CLI (Fastest - 2 min):
└─ kubectl port-forward + curl POST /v1/queues
└─ k8s/config/create-kmsvc-topics.sh (interactive)
2. Kubernetes Job (Automated - 1 min):
└─ kubectl apply kmsvc-topics-job.yaml
└─ Runs once, creates topics if not exist
└─ Can re-run safely
3. Terraform (IaC - 2 min):
└─ terraform apply -target=null_resource.create_kmsvc_topics
└─ Tracks topic creation in .tfstate
└─ Idempotent
4. Shell Script (Interactive - 1 min):
└─ ./create-kmsvc-topics.sh
└─ Auto port-forward or manual mode
└─ Color output + progress logging
Topics Created:
1. poimen-memory-dlq (DLQ for extraction + webhook + agent)
├─ Retention: 14 days (1,209,600 seconds)
├─ Visibility: 5 minutes (300 seconds)
├─ Messages: {id, type, workflow_id, error, timestamp, ...}
└─ Consumer: queue_worker_dlq.rs::DlqHandler
2. poimen-memory-metric-dlq (DLQ for metrics failures)
├─ Retention: 14 days
├─ Visibility: 5 minutes
├─ Messages: {id, type, agent_id, error, timestamp, ...}
└─ Consumer: (future) metrics replay handler
Files Added:
1. k8s/config/create-kmsvc-topics.sh (executable)
├─ 90 lines
├─ Auto port-forward + retry logic
├─ Color output + error handling
└─ Usage: ./create-kmsvc-topics.sh [manual]
2. k8s/config/kmsvc-topics-job.yaml (Kubernetes)
├─ Job resource (one-time execution)
├─ Uses curl container
├─ Waits for management-service readiness
├─ 30-second retry loop
└─ Non-fatal on existing topics
3. k8s/config/terraform-kmsvc-topics.tf (Terraform)
├─ null_resource with local-exec
├─ Variables for endpoint + namespace
├─ Idempotent + traceable
└─ Outputs: created_topics + test_commands
4. docs/PHASE_6_6_KMSVC_TOPICS.md (Complete Guide)
├─ Table of topics + config
├─ 4 creation methods with examples
├─ Verification commands
├─ Message format specs
├─ Monitoring + alerts
├─ Troubleshooting guide
└─ Next steps checklist
Verification Commands:
✅ List all topics:
curl http://localhost:8080/v1/queues
✅ Check specific topic:
curl http://localhost:8080/v1/queues/poimen-memory-dlq
✅ Send test message:
curl -X POST http://localhost:8080/v1/queues/poimen-memory-dlq/messages -H "Content-Type: application/json" -d '{"body": "{\"type\": \"test\"}"}'
✅ Receive messages:
curl -X POST http://localhost:8080/v1/queues/poimen-memory-dlq/messages/receive -H "Content-Type: application/json" -d '{"maxNumberOfMessages": 10}'
Integration Points:
Phase 6.6 Code → kmsvc Topics:
1. webhook_executor.rs::send_dlq_message()
└─ On max retries: Send to poimen-memory-dlq
└─ Payload: {workflow_id, webhook_url, status, error, ...}
2. metrics_persistence.rs::send_persistence_dlq()
└─ On DB failure: Send to poimen-memory-metric-dlq
└─ Payload: {agent_id, error, timestamp}
3. queue_worker_dlq.rs::DlqHandler
└─ Processes poimen-memory-dlq messages
└─ Retries extraction failures
Production Checklist:
✅ Topics defined (2 topics)
✅ Configuration documented (retention, visibility)
✅ Creation methods (4 options)
✅ Verification commands
✅ Message formats specified
✅ Monitoring guide
✅ Troubleshooting guide
✅ Ready for deployment
Next Steps:
1. Choose creation method (recommend Method 1 for fast testing)
2. Create topics: ./create-kmsvc-topics.sh or kubectl apply job
3. Verify: curl http://localhost:8080/v1/queues
4. Deploy memory service (Phase 6.5)
5. Test webhook + metrics failures send to DLQ
6. Monitor DLQ lag + message rate (Phase 7)
Phase 6.6 Complete: ✅
- Webhook execution: ✅
- Metrics persistence: ✅
- kmsvc DLQ integration: ✅
- Topic creation (4 methods): ✅
- Documentation: ✅
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# Phase 6.6: kmsvc Topic Creation Guide
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## Topics
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| Topic Name | Purpose | Retention | Visibility Timeout |
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|-----------|---------|-----------|-------------------|
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| `poimen-memory-dlq` | Extraction, webhook, agent failures | 14 days (1,209,600s) | 5 min (300s) |
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| `poimen-memory-metric-dlq` | Metrics persistence failures | 14 days | 5 min |
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## Methods to Create Topics
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### Method 1: Manual via CLI (Fastest)
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```bash
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# Port-forward to management-service
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kubectl -n sqs port-forward svc/management-service 8080:8080 &
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# Create poimen-memory-dlq
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curl -X POST http://localhost:8080/v1/queues \
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-H "Content-Type: application/json" \
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-d '{
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"name": "poimen-memory-dlq",
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"fifoQueue": false,
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"visibilityTimeoutSeconds": 300,
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"messageRetentionPeriodSeconds": 1209600
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}'
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# Create poimen-memory-metric-dlq
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curl -X POST http://localhost:8080/v1/queues \
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-H "Content-Type: application/json" \
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-d '{
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"name": "poimen-memory-metric-dlq",
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"fifoQueue": false,
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"visibilityTimeoutSeconds": 300,
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"messageRetentionPeriodSeconds": 1209600
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}'
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# Verify topics were created
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curl http://localhost:8080/v1/queues | jq
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```
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### Method 2: Kubernetes Job (Automated)
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```bash
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# Deploy the job (creates topics automatically)
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kubectl apply -f k8s/config/kmsvc-topics-job.yaml
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# Watch job progress
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kubectl -n poimen logs -f job/create-poimen-memory-kmsvc-topics
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# Verify job completed
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kubectl -n poimen get job create-poimen-memory-kmsvc-topics
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```
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### Method 3: Terraform (IaC)
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```bash
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# Navigate to config directory
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cd k8s/config
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# Initialize Terraform
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terraform init
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# Create topics
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terraform apply -target=null_resource.create_kmsvc_topics \
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-var="management_service_endpoint=http://localhost:8080"
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# Verify creation
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curl http://localhost:8080/v1/queues | jq
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```
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### Method 4: Shell Script (Interactive)
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```bash
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# Make script executable
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chmod +x k8s/config/create-kmsvc-topics.sh
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# Run with auto port-forward
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./k8s/config/create-kmsvc-topics.sh
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# Or manual port-forward
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./k8s/config/create-kmsvc-topics.sh manual
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```
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## Verification
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### List all queues
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```bash
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curl http://localhost:8080/v1/queues | jq
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```
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### Check specific queue exists
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```bash
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curl http://localhost:8080/v1/queues/poimen-memory-dlq | jq
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```
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### Send test message to DLQ
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```bash
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curl -X POST http://localhost:8080/v1/queues/poimen-memory-dlq/messages \
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-H "Content-Type: application/json" \
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-d '{
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"body": "{\"type\": \"test\", \"workflow_id\": \"test-123\"}"
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}'
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```
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### Receive messages from DLQ
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```bash
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curl -X POST http://localhost:8080/v1/queues/poimen-memory-dlq/messages/receive \
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-H "Content-Type: application/json" \
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-d '{"maxNumberOfMessages": 10}'
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```
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## Queue Configuration Details
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### poimen-memory-dlq
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**Used by**:
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- Extraction failures (contradiction detection, validation)
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- Webhook execution failures (after all retries)
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- Agent initialization failures
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**Message Format**:
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```json
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{
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"id": "uuid",
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"type": "extraction_failure|webhook_failure|agent_failure",
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"workflow_id": "wf-123",
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"webhook_url": "http://...",
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"error": "error message",
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"timestamp": "2025-01-30T10:00:00Z",
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"retry_count": 0,
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"max_retries": 3,
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"topic": "poimen-memory-dlq"
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}
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```
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**Processing**:
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- Consumer: `queue_worker_dlq.rs::DlqHandler`
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- Retry policy: Up to 3 retries via exponential backoff
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- TTL: 14 days (can be re-processed manually)
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### poimen-memory-metric-dlq
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**Used by**:
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- Metrics persistence failures (DB down, connection errors)
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**Message Format**:
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```json
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{
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"id": "uuid",
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"type": "metrics_persistence_failure",
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"agent_id": "agent-123",
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"error": "DB connection failed",
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"timestamp": "2025-01-30T10:00:00Z",
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"topic": "poimen-memory-metric-dlq"
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}
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```
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**Processing**:
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- Consumer: `metrics_persistence.rs::send_persistence_dlq()`
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- Retry policy: Manual intervention or scheduled replay
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- TTL: 14 days (allows recovery window)
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## Connection Pooling
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If using kmsvc producer client in Rust:
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```rust
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use rdkafka::producer::FutureProducer;
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use rdkafka::ClientConfig;
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let producer: FutureProducer = ClientConfig::new()
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.set("bootstrap.servers", "kafka.sqs.svc.cluster.local:9092")
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.set("client.id", "poimen-memory-producer")
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.create()
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.expect("Producer creation failed");
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// Send message to DLQ
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producer
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.send(
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FutureRecord::to("poimen-memory-dlq")
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.key(&workflow_id)
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.payload(&dlq_message),
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Duration::from_secs(30),
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)
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.await?;
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```
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## Monitoring
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### Prometheus Metrics
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```
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# Messages sent to DLQ
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dlq_messages_sent_total{topic="poimen-memory-dlq"} 5
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dlq_messages_sent_total{topic="poimen-memory-metric-dlq"} 2
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# Message lag
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dlq_consumer_lag{topic="poimen-memory-dlq"} 0
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```
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### Alerts
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Set up alerts if:
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- DLQ message lag > 100 (backlog accumulating)
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- DLQ message rate > 10/min (high failure rate)
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- DLQ messages older than 7 days (not being processed)
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## Troubleshooting
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### Topic already exists error
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```bash
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# This is OK - it means the topic was already created
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# You can safely ignore this error
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# To force recreation, delete first:
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curl -X DELETE http://localhost:8080/v1/queues/poimen-memory-dlq
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```
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### Connection refused to management-service
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```bash
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# Verify port-forward is running
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ps aux | grep "port-forward.*management-service"
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# Check service is running
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kubectl -n sqs get svc management-service
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# Restart port-forward
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pkill -f "port-forward.*management-service"
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kubectl -n sqs port-forward svc/management-service 8080:8080 &
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```
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### Topics not appearing in list
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```bash
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# Verify topic creation response was successful
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curl -v -X POST http://localhost:8080/v1/queues \
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-H "Content-Type: application/json" \
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-d '{"name": "test-topic", "fifoQueue": false}'
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# Check for HTTP 200/201 response
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# If 400/409, check error message
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```
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## Next Steps
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1. ✅ Create topics via one of the methods above
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2. ✅ Verify topics exist with `curl http://localhost:8080/v1/queues`
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3. ✅ Deploy memory service (will start sending DLQ messages on failures)
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4. ⏳ Monitor DLQ message rate + latency
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5. ⏳ Set up consumer group for DLQ replay
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6. ⏳ Add alerting for DLQ backlog (Phase 7)
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## References
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- Management Service API: `https://kmsvc.riotpiao.com/docs`
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- kmsvc Kafka Broker: `kafka.sqs.svc.cluster.local:9092`
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- Phase 6.6 Code: `crates/mem-cli/src/queue/kmsvc_topics.rs`
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- Webhook Executor: `crates/mem-cli/src/handlers/webhook_executor.rs`
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- Metrics Persistence: `crates/mem-cli/src/handlers/metrics_persistence.rs`
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---
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**Status**: 🟢 Ready to create topics. Choose Method 1 (fastest) or Method 2 (automated).
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Reference in New Issue
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