Phase 6.6: Add kmsvc Topic Creation (4 methods)
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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
## Topics
| Topic Name | Purpose | Retention | Visibility Timeout |
|-----------|---------|-----------|-------------------|
| `poimen-memory-dlq` | Extraction, webhook, agent failures | 14 days (1,209,600s) | 5 min (300s) |
| `poimen-memory-metric-dlq` | Metrics persistence failures | 14 days | 5 min |
## Methods to Create Topics
### Method 1: Manual via CLI (Fastest)
```bash
# Port-forward to management-service
kubectl -n sqs port-forward svc/management-service 8080:8080 &
# Create poimen-memory-dlq
curl -X POST http://localhost:8080/v1/queues \
-H "Content-Type: application/json" \
-d '{
"name": "poimen-memory-dlq",
"fifoQueue": false,
"visibilityTimeoutSeconds": 300,
"messageRetentionPeriodSeconds": 1209600
}'
# Create poimen-memory-metric-dlq
curl -X POST http://localhost:8080/v1/queues \
-H "Content-Type: application/json" \
-d '{
"name": "poimen-memory-metric-dlq",
"fifoQueue": false,
"visibilityTimeoutSeconds": 300,
"messageRetentionPeriodSeconds": 1209600
}'
# Verify topics were created
curl http://localhost:8080/v1/queues | jq
```
### Method 2: Kubernetes Job (Automated)
```bash
# Deploy the job (creates topics automatically)
kubectl apply -f k8s/config/kmsvc-topics-job.yaml
# Watch job progress
kubectl -n poimen logs -f job/create-poimen-memory-kmsvc-topics
# Verify job completed
kubectl -n poimen get job create-poimen-memory-kmsvc-topics
```
### Method 3: Terraform (IaC)
```bash
# Navigate to config directory
cd k8s/config
# Initialize Terraform
terraform init
# Create topics
terraform apply -target=null_resource.create_kmsvc_topics \
-var="management_service_endpoint=http://localhost:8080"
# Verify creation
curl http://localhost:8080/v1/queues | jq
```
### Method 4: Shell Script (Interactive)
```bash
# Make script executable
chmod +x k8s/config/create-kmsvc-topics.sh
# Run with auto port-forward
./k8s/config/create-kmsvc-topics.sh
# Or manual port-forward
./k8s/config/create-kmsvc-topics.sh manual
```
## Verification
### List all queues
```bash
curl http://localhost:8080/v1/queues | jq
```
### Check specific queue exists
```bash
curl http://localhost:8080/v1/queues/poimen-memory-dlq | jq
```
### Send test message to DLQ
```bash
curl -X POST http://localhost:8080/v1/queues/poimen-memory-dlq/messages \
-H "Content-Type: application/json" \
-d '{
"body": "{\"type\": \"test\", \"workflow_id\": \"test-123\"}"
}'
```
### Receive messages from DLQ
```bash
curl -X POST http://localhost:8080/v1/queues/poimen-memory-dlq/messages/receive \
-H "Content-Type: application/json" \
-d '{"maxNumberOfMessages": 10}'
```
## Queue Configuration Details
### poimen-memory-dlq
**Used by**:
- Extraction failures (contradiction detection, validation)
- Webhook execution failures (after all retries)
- Agent initialization failures
**Message Format**:
```json
{
"id": "uuid",
"type": "extraction_failure|webhook_failure|agent_failure",
"workflow_id": "wf-123",
"webhook_url": "http://...",
"error": "error message",
"timestamp": "2025-01-30T10:00:00Z",
"retry_count": 0,
"max_retries": 3,
"topic": "poimen-memory-dlq"
}
```
**Processing**:
- Consumer: `queue_worker_dlq.rs::DlqHandler`
- Retry policy: Up to 3 retries via exponential backoff
- TTL: 14 days (can be re-processed manually)
### poimen-memory-metric-dlq
**Used by**:
- Metrics persistence failures (DB down, connection errors)
**Message Format**:
```json
{
"id": "uuid",
"type": "metrics_persistence_failure",
"agent_id": "agent-123",
"error": "DB connection failed",
"timestamp": "2025-01-30T10:00:00Z",
"topic": "poimen-memory-metric-dlq"
}
```
**Processing**:
- Consumer: `metrics_persistence.rs::send_persistence_dlq()`
- Retry policy: Manual intervention or scheduled replay
- TTL: 14 days (allows recovery window)
## Connection Pooling
If using kmsvc producer client in Rust:
```rust
use rdkafka::producer::FutureProducer;
use rdkafka::ClientConfig;
let producer: FutureProducer = ClientConfig::new()
.set("bootstrap.servers", "kafka.sqs.svc.cluster.local:9092")
.set("client.id", "poimen-memory-producer")
.create()
.expect("Producer creation failed");
// Send message to DLQ
producer
.send(
FutureRecord::to("poimen-memory-dlq")
.key(&workflow_id)
.payload(&dlq_message),
Duration::from_secs(30),
)
.await?;
```
## Monitoring
### Prometheus Metrics
```
# Messages sent to DLQ
dlq_messages_sent_total{topic="poimen-memory-dlq"} 5
dlq_messages_sent_total{topic="poimen-memory-metric-dlq"} 2
# Message lag
dlq_consumer_lag{topic="poimen-memory-dlq"} 0
```
### Alerts
Set up alerts if:
- DLQ message lag > 100 (backlog accumulating)
- DLQ message rate > 10/min (high failure rate)
- DLQ messages older than 7 days (not being processed)
## Troubleshooting
### Topic already exists error
```bash
# This is OK - it means the topic was already created
# You can safely ignore this error
# To force recreation, delete first:
curl -X DELETE http://localhost:8080/v1/queues/poimen-memory-dlq
```
### Connection refused to management-service
```bash
# Verify port-forward is running
ps aux | grep "port-forward.*management-service"
# Check service is running
kubectl -n sqs get svc management-service
# Restart port-forward
pkill -f "port-forward.*management-service"
kubectl -n sqs port-forward svc/management-service 8080:8080 &
```
### Topics not appearing in list
```bash
# Verify topic creation response was successful
curl -v -X POST http://localhost:8080/v1/queues \
-H "Content-Type: application/json" \
-d '{"name": "test-topic", "fifoQueue": false}'
# Check for HTTP 200/201 response
# If 400/409, check error message
```
## Next Steps
1. ✅ Create topics via one of the methods above
2. ✅ Verify topics exist with `curl http://localhost:8080/v1/queues`
3. ✅ Deploy memory service (will start sending DLQ messages on failures)
4. ⏳ Monitor DLQ message rate + latency
5. ⏳ Set up consumer group for DLQ replay
6. ⏳ Add alerting for DLQ backlog (Phase 7)
## References
- Management Service API: `https://kmsvc.riotpiao.com/docs`
- kmsvc Kafka Broker: `kafka.sqs.svc.cluster.local:9092`
- Phase 6.6 Code: `crates/mem-cli/src/queue/kmsvc_topics.rs`
- Webhook Executor: `crates/mem-cli/src/handlers/webhook_executor.rs`
- Metrics Persistence: `crates/mem-cli/src/handlers/metrics_persistence.rs`
---
**Status**: 🟢 Ready to create topics. Choose Method 1 (fastest) or Method 2 (automated).
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#!/bin/bash
# Phase 6.6: Create kmsvc (Kafka Message Service) Topics
# Topics:
# - poimen-memory-dlq (extraction + webhook + agent failures)
# - poimen-memory-metric-dlq (metrics persistence failures)
#
# Prerequisites:
# 1. kubectl access to cluster (SQS namespace)
# 2. management-service running and accessible
#
# Usage:
# ./create-kmsvc-topics.sh (auto port-forward)
# ./create-kmsvc-topics.sh manual (assumes port-forward exists)
set -e
NAMESPACE=${NAMESPACE:-sqs}
SERVICE=${SERVICE:-management-service}
PORT=${PORT:-8080}
MANUAL_PORTFORWARD=${1:-auto}
# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
echo -e "${YELLOW}========================================${NC}"
echo -e "${YELLOW}Creating kmsvc Topics for Poimen Memory${NC}"
echo -e "${YELLOW}========================================${NC}"
# Setup port-forward if needed
if [ "$MANUAL_PORTFORWARD" != "manual" ]; then
echo -e "${YELLOW}Setting up port-forward to $SERVICE...${NC}"
# Kill existing port-forward if running
pkill -f "kubectl.*port-forward.*$SERVICE" || true
sleep 1
# Start port-forward in background
kubectl -n $NAMESPACE port-forward svc/$SERVICE $PORT:8080 &
PORTFORWARD_PID=$!
trap "kill $PORTFORWARD_PID" EXIT
sleep 3
echo -e "${GREEN}Port-forward started (PID: $PORTFORWARD_PID)${NC}"
fi
ENDPOINT="http://localhost:$PORT/v1/queues"
# Helper function to create topic
create_topic() {
local topic_name=$1
local description=$2
echo ""
echo -e "${YELLOW}Creating topic: ${topic_name}${NC}"
echo "Description: ${description}"
# Try to create (SQS-style API)
response=$(curl -s -X POST "$ENDPOINT" \
-H "Content-Type: application/json" \
-d "{
\"name\": \"${topic_name}\",
\"fifoQueue\": false,
\"visibilityTimeoutSeconds\": 300,
\"messageRetentionPeriodSeconds\": 1209600
}")
if echo "$response" | grep -q '"name"'; then
echo -e "${GREEN}✓ Created: ${topic_name}${NC}"
echo "Response: $response"
elif echo "$response" | grep -q 'already exists'; then
echo -e "${YELLOW}⚠ Already exists: ${topic_name}${NC}"
else
echo -e "${RED}✗ Failed to create: ${topic_name}${NC}"
echo "Response: $response"
return 1
fi
}
# Create topics
create_topic "poimen-memory-dlq" "DLQ for extraction, webhook, and agent failures"
create_topic "poimen-memory-metric-dlq" "DLQ for metrics persistence failures"
# List all queues
echo ""
echo -e "${YELLOW}Listing all queues:${NC}"
curl -s "$ENDPOINT" | jq '.' || curl -s "$ENDPOINT"
echo ""
echo -e "${GREEN}========================================${NC}"
echo -e "${GREEN}Topic creation complete!${NC}"
echo -e "${GREEN}========================================${NC}"
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# Phase 6.6: Kubernetes Job to Create kmsvc Topics
# This Job runs once to create required Kafka topics
# Can be re-run if topics need to be recreated
apiVersion: batch/v1
kind: Job
metadata:
name: create-poimen-memory-kmsvc-topics
namespace: poimen
labels:
app: poimen-memory
phase: "6.6"
spec:
backoffLimit: 3
activeDeadlineSeconds: 600
template:
metadata:
labels:
app: poimen-memory
job: create-kmsvc-topics
spec:
serviceAccountName: memory-app
restartPolicy: Never
containers:
- name: create-topics
image: curlimages/curl:latest
imagePullPolicy: IfNotPresent
command:
- /bin/sh
- -c
- |
set -e
echo "Creating kmsvc topics for Poimen Memory..."
# Wait for management-service to be ready
echo "Waiting for management-service to be ready..."
for i in {1..30}; do
if curl -s http://management-service.sqs.svc.cluster.local:8080/v1/queues > /dev/null 2>&1; then
echo "management-service is ready"
break
fi
echo "Attempt $i/30: Waiting for management-service..."
sleep 2
done
# Create poimen-memory-dlq
echo "Creating topic: poimen-memory-dlq"
curl -X POST http://management-service.sqs.svc.cluster.local:8080/v1/queues \
-H "Content-Type: application/json" \
-d '{
"name": "poimen-memory-dlq",
"fifoQueue": false,
"visibilityTimeoutSeconds": 300,
"messageRetentionPeriodSeconds": 1209600
}' || echo "Topic may already exist"
# Create poimen-memory-metric-dlq
echo "Creating topic: poimen-memory-metric-dlq"
curl -X POST http://management-service.sqs.svc.cluster.local:8080/v1/queues \
-H "Content-Type: application/json" \
-d '{
"name": "poimen-memory-metric-dlq",
"fifoQueue": false,
"visibilityTimeoutSeconds": 300,
"messageRetentionPeriodSeconds": 1209600
}' || echo "Topic may already exist"
# List queues
echo "Listing all queues:"
curl http://management-service.sqs.svc.cluster.local:8080/v1/queues
echo "Done!"
resources:
requests:
cpu: "50m"
memory: "64Mi"
limits:
cpu: "100m"
memory: "128Mi"
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsNonRoot: true
runAsUser: 1000
---
# ServiceAccount for the job (reuse memory-app SA)
# If not exists, create it:
apiVersion: v1
kind: ServiceAccount
metadata:
name: memory-app
namespace: poimen
labels:
app: poimen-memory
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# Phase 6.6: Terraform Module to Create kmsvc Topics
# Topics:
# - poimen-memory-dlq
# - poimen-memory-metric-dlq
#
# Usage:
# terraform init
# terraform apply -target=null_resource.create_kmsvc_topics
#
# Or add to existing Terraform stack
terraform {
required_version = ">= 1.0"
required_providers {
null = {
source = "hashicorp/null"
version = "~> 3.2"
}
}
}
# Variables
variable "management_service_endpoint" {
description = "Management service endpoint (SQS API)"
type = string
default = "http://localhost:8080"
}
variable "namespace" {
description = "Kubernetes namespace for port-forward"
type = string
default = "sqs"
}
variable "service_name" {
description = "Management service name"
type = string
default = "management-service"
}
# Local function to create topics
locals {
topics = {
"poimen-memory-dlq" = {
description = "DLQ for extraction, webhook, and agent failures"
fifoQueue = false
visibilityTimeoutSeconds = 300
messageRetentionPeriodSeconds = 1209600 # 14 days
}
"poimen-memory-metric-dlq" = {
description = "DLQ for metrics persistence failures"
fifoQueue = false
visibilityTimeoutSeconds = 300
messageRetentionPeriodSeconds = 1209600 # 14 days
}
}
}
# Create topics via null_resource + local-exec
resource "null_resource" "create_kmsvc_topics" {
for_each = local.topics
provisioner "local-exec" {
command = <<-EOT
curl -X POST "${var.management_service_endpoint}/v1/queues" \
-H "Content-Type: application/json" \
-d '{
"name": "${each.key}",
"fifoQueue": ${each.value.fifoQueue},
"visibilityTimeoutSeconds": ${each.value.visibilityTimeoutSeconds},
"messageRetentionPeriodSeconds": ${each.value.messageRetentionPeriodSeconds}
}' \
-w "\nResponse Status: %{http_code}\n" || echo "Topic creation failed or already exists"
EOT
}
triggers = {
topic_name = each.key
endpoint = var.management_service_endpoint
}
}
# Output
output "created_topics" {
description = "Created kmsvc topics"
value = keys(local.topics)
}
output "management_service_endpoint" {
description = "Management service endpoint used"
value = var.management_service_endpoint
}
# Instructions for local testing
output "local_test_commands" {
description = "Commands to test locally"
value = <<-EOT
# Port-forward
kubectl -n ${var.namespace} port-forward svc/${var.service_name} 8080:8080 &
# Create topics
terraform apply -target=null_resource.create_kmsvc_topics \
-var="management_service_endpoint=http://localhost:8080"
# List topics
curl http://localhost:8080/v1/queues | jq
# Send test message to DLQ
curl -X POST http://localhost:8080/v1/queues/poimen-memory-dlq/messages \
-H "Content-Type: application/json" \
-d '{"body": "test message"}'
EOT
}