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Merge pull request #25 from bp-cicd-org/new_actions_workflow #6

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Merge pull request #25 from bp-cicd-org/new_actions_workflow

Merge pull request #25 from bp-cicd-org/new_actions_workflow #6

Workflow file for this run

.github/workflows/ci.yaml at ec30237
# =============================================================================
# AI Model Distillation for Financial Data - CI/CD Pipeline
# =============================================================================
#
# Deployment Method:
# ------------------
# This project uses Docker Compose script deployment, NOT Notebook deployment.
# The Notebook (notebooks/ai-model-distillation-financial-data.ipynb) is used
# for interactive job execution and monitoring, not for deploying services.
#
# Deployment command:
# docker compose -f ./deploy/docker-compose.yaml up -d --build
#
# =============================================================================
# Hardware Requirements:
# =============================================================================
# | Resource Type | Minimum Requirement |
# |----------------|---------------------------------------------|
# | GPU | 2x NVIDIA A100/H100/H200/B200 GPUs |
# | Disk Space | At least 200 GB |
# | Memory | Recommended 64 GB+ |
# | GPU Driver | >= 560.35.03 |
#
# =============================================================================
# Service Ports:
# =============================================================================
# | Service | Port | Description |
# |----------------|-------|-----------------------------------------|
# | API Server | 8000 | FastAPI main service |
# | Elasticsearch | 9200 | Log storage |
# | MongoDB | 27017 | Database |
# | Redis | 6379 | Celery broker |
# | MLflow | 5000 | Experiment tracking (optional) |
#
# =============================================================================
# pytest Test Information:
# =============================================================================
# Test Image: nvcr.io/rw983xdqtcdp/auto_test_team/blueprint-github-test-image:latest
# Test File: blueprint-github-test/testcases/dfw/test_dfw_api.py
# pytest marker: dfw
# API URL parameter: --dfw-api-url http://localhost:8000
#
# =============================================================================
# Required Secrets:
# =============================================================================
# | Secret | Required | Description |
# |------------------|----------|------------------------------------------|
# | NVIDIA_API_KEY | Yes | NVIDIA API Key for hosted NIM services |
# | NGC_API_KEY | Yes | NGC API Key for container registry |
# | MONGO_USERNAME | Yes | MongoDB root username |
# | MONGO_PASSWORD | Yes | MongoDB root password |
# | REDIS_PASSWORD | Yes | Redis password |
# | HF_TOKEN | No | Huggingface token (optional) |
# | SMTP_USERNAME | No | Gmail for email notifications |
# | SMTP_PASSWORD | No | Gmail app-specific password for SMTP |
#
# =============================================================================
name: CI - Data Flywheel
on:
push:
branches: [main]
paths:
- 'src/**'
- 'deploy/**'
- 'config/**'
- 'requirements.txt'
- 'pyproject.toml'
- '.github/workflows/ci.yaml'
pull_request:
branches: [main]
paths:
- 'src/**'
- 'deploy/**'
- 'config/**'
- 'requirements.txt'
- 'pyproject.toml'
- '.github/workflows/ci.yaml'
workflow_dispatch:
inputs:
run_tests:
description: 'Run pytest tests after deployment'
required: false
default: true
type: boolean
enable_mlflow:
description: 'Enable MLflow for experiment tracking'
required: false
default: false
type: boolean
skip_cleanup:
description: 'Skip cleanup after tests (keep services running)'
required: false
default: false
type: boolean
env:
# Required secrets
NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }}
NGC_API_KEY: ${{ secrets.NGC_API_KEY }}
GH_TOKEN: ${{ secrets.GH_TOKEN }}
MONGO_USERNAME: ${{ secrets.MONGO_USERNAME }}
MONGO_PASSWORD: ${{ secrets.MONGO_PASSWORD }}
REDIS_PASSWORD: ${{ secrets.REDIS_PASSWORD }}
HF_TOKEN: ${{ secrets.HF_TOKEN }}
# Configuration
ES_COLLECTION_NAME: flywheel
TAG: "0.3.0"
# Test configuration
TEST_IMAGE: nvcr.io/rw983xdqtcdp/auto_test_team/blueprint-github-test-image:latest
DFW_API_URL: http://localhost:8000
ENABLE_EMAIL_NOTIFICATION: true
jobs:
# ===========================================================================
# Pre-flight Checks
# ===========================================================================
preflight:
name: Pre-flight Checks
# runs-on: arc-runner-set-oke-org-poc-4-gpu
runs-on: arc-runners-org-nvidia-ai-bp-4-gpu
outputs:
checks_passed: ${{ steps.final_check.outputs.passed }}
steps:
- name: Display Runner Information
run: |
echo "=========================================="
echo "Runner Information"
echo "=========================================="
echo "Runner Name: ${{ runner.name }}"
echo "Runner OS: ${{ runner.os }}"
echo "Workflow: ${{ github.workflow }}"
echo "Run ID: ${{ github.run_id }}"
echo "Event: ${{ github.event_name }}"
echo "Ref: ${{ github.ref }}"
echo "SHA: ${{ github.sha }}"
echo "Actor: ${{ github.actor }}"
echo "=========================================="
- name: Check Required Secrets
id: check_secrets
run: |
echo "=========================================="
echo "Checking Required Secrets..."
echo "=========================================="
MISSING_SECRETS=""
# Check NVIDIA_API_KEY
if [ -z "${{ secrets.NVIDIA_API_KEY }}" ]; then
echo "✗ NVIDIA_API_KEY is not set"
MISSING_SECRETS="${MISSING_SECRETS}NVIDIA_API_KEY "
else
echo "✓ NVIDIA_API_KEY is set (${#NVIDIA_API_KEY} chars)"
fi
# Check NGC_API_KEY
if [ -z "${{ secrets.NGC_API_KEY }}" ]; then
echo "✗ NGC_API_KEY is not set"
MISSING_SECRETS="${MISSING_SECRETS}NGC_API_KEY "
else
echo "✓ NGC_API_KEY is set"
fi
# Check GH_TOKEN
if [ -z "${{ secrets.GH_TOKEN }}" ]; then
echo "✗ GH_TOKEN is not set"
MISSING_SECRETS="${MISSING_SECRETS}GH_TOKEN "
else
echo "✓ GH_TOKEN is set"
fi
# Check MONGO_USERNAME
if [ -z "${{ secrets.MONGO_USERNAME }}" ]; then
echo "✗ MONGO_USERNAME is not set"
MISSING_SECRETS="${MISSING_SECRETS}MONGO_USERNAME "
else
echo "✓ MONGO_USERNAME is set"
fi
# Check MONGO_PASSWORD
if [ -z "${{ secrets.MONGO_PASSWORD }}" ]; then
echo "✗ MONGO_PASSWORD is not set"
MISSING_SECRETS="${MISSING_SECRETS}MONGO_PASSWORD "
else
echo "✓ MONGO_PASSWORD is set"
fi
# Check REDIS_PASSWORD
if [ -z "${{ secrets.REDIS_PASSWORD }}" ]; then
echo "✗ REDIS_PASSWORD is not set"
MISSING_SECRETS="${MISSING_SECRETS}REDIS_PASSWORD "
else
echo "✓ REDIS_PASSWORD is set"
fi
# Optional: HF_TOKEN
if [ -z "${{ secrets.HF_TOKEN }}" ]; then
echo "⚠ HF_TOKEN is not set (optional)"
else
echo "✓ HF_TOKEN is set"
fi
if [ -n "$MISSING_SECRETS" ]; then
echo ""
echo "✗ Missing required secrets: $MISSING_SECRETS"
echo ""
echo "Please configure the following secrets in your repository:"
echo " Settings -> Secrets and variables -> Actions -> New repository secret"
exit 1
fi
echo ""
echo "✓ All required secrets are configured"
- name: Check Docker Installation
id: check_docker
run: |
echo "=========================================="
echo "Checking Docker Installation..."
echo "=========================================="
if ! command -v docker &> /dev/null; then
echo "✗ Docker is not installed"
exit 1
fi
DOCKER_VERSION=$(docker --version)
echo "✓ Docker installed: $DOCKER_VERSION"
# Check Docker daemon is running
if ! docker info &> /dev/null; then
echo "✗ Docker daemon is not running"
exit 1
fi
echo "✓ Docker daemon is running"
# Check Docker Compose
if ! docker compose version &> /dev/null; then
echo "✗ Docker Compose v2 is not available"
exit 1
fi
COMPOSE_VERSION=$(docker compose version --short)
echo "✓ Docker Compose installed: $COMPOSE_VERSION"
- name: Check Required Ports Availability
id: check_ports
run: |
echo "=========================================="
echo "Checking Port Availability..."
echo "=========================================="
PORTS_IN_USE=""
for port in 8000 9200 27017 6379 5000; do
if ss -tuln | grep -q ":${port} " 2>/dev/null || netstat -tuln 2>/dev/null | grep -q ":${port} "; then
echo "⚠ Port $port is in use"
PORTS_IN_USE="${PORTS_IN_USE}${port} "
else
echo "✓ Port $port is available"
fi
done
if [ -n "$PORTS_IN_USE" ]; then
echo ""
echo "⚠ Some ports are in use: $PORTS_IN_USE"
echo " This may cause deployment issues."
fi
- name: Check Disk Space
id: check_disk
run: |
echo "=========================================="
echo "Checking Disk Space..."
echo "=========================================="
# Get available disk space in GB
AVAILABLE_GB=$(df -BG / | awk 'NR==2 {print $4}' | sed 's/G//')
REQUIRED_GB=200
echo "Available disk space: ${AVAILABLE_GB}GB"
echo "Required minimum: ${REQUIRED_GB}GB"
if [ "$AVAILABLE_GB" -lt "$REQUIRED_GB" ]; then
echo "✗ Insufficient disk space. Need at least ${REQUIRED_GB}GB, have ${AVAILABLE_GB}GB"
exit 1
fi
echo "✓ Sufficient disk space available"
- name: Check GPU Availability
id: check_gpu
run: |
echo "=========================================="
echo "Checking GPU Availability..."
echo "=========================================="
REQUIRED_GPUS=2
REQUIRED_DRIVER_VERSION="560.35.03"
# Try to run nvidia-smi in a GPU container
GPU_INFO=$(docker run --rm --gpus all nvidia/cuda:12.2.0-base-ubuntu22.04 nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv 2>&1) || {
echo "⚠ Could not access GPU via Docker."
echo "⚠ Error: $GPU_INFO"
echo "gpu_available=false" >> $GITHUB_OUTPUT
exit 0
}
echo "GPU Information:"
echo "$GPU_INFO"
echo ""
# Get GPU count
GPU_COUNT=$(docker run --rm --gpus all nvidia/cuda:12.2.0-base-ubuntu22.04 nvidia-smi --query-gpu=name --format=csv,noheader 2>/dev/null | wc -l)
echo "Found $GPU_COUNT GPU(s), Required: $REQUIRED_GPUS"
if [ "$GPU_COUNT" -lt "$REQUIRED_GPUS" ]; then
echo "⚠ Insufficient GPUs. Need at least $REQUIRED_GPUS, have $GPU_COUNT"
echo "gpu_available=false" >> $GITHUB_OUTPUT
exit 0
fi
echo "✓ GPU count check passed"
# Check GPU driver version
DRIVER_VERSION=$(docker run --rm --gpus all nvidia/cuda:12.2.0-base-ubuntu22.04 nvidia-smi --query-gpu=driver_version --format=csv,noheader 2>/dev/null | head -1)
echo "GPU Driver version: $DRIVER_VERSION, Required: >= $REQUIRED_DRIVER_VERSION"
echo "✓ GPU checks passed"
echo "gpu_available=true" >> $GITHUB_OUTPUT
- name: Validate NVIDIA API Key
id: validate_nvidia_api
run: |
echo "=========================================="
echo "Validating NVIDIA API Key..."
echo "=========================================="
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" \
-H "Authorization: Bearer $NVIDIA_API_KEY" \
-H "Content-Type: application/json" \
"https://integrate.api.nvidia.com/v1/models" 2>/dev/null || echo "000")
if [ "$HTTP_STATUS" = "200" ]; then
echo "✓ NVIDIA API Key is valid"
elif [ "$HTTP_STATUS" = "401" ] || [ "$HTTP_STATUS" = "403" ]; then
echo "✗ NVIDIA API Key is invalid or expired (HTTP $HTTP_STATUS)"
exit 1
elif [ "$HTTP_STATUS" = "000" ]; then
echo "⚠ Could not reach NVIDIA API (network issue). Proceeding anyway..."
else
echo "⚠ Unexpected response from NVIDIA API (HTTP $HTTP_STATUS). Proceeding anyway..."
fi
- name: Final Pre-check Summary
id: final_check
run: |
echo "=========================================="
echo "Pre-flight Checks Complete"
echo "=========================================="
echo ""
echo "All critical checks passed. Ready for deployment."
echo ""
echo "passed=true" >> $GITHUB_OUTPUT
# ===========================================================================
# Deploy Services and Run Tests (Same Job to Share Services)
# ===========================================================================
deploy-and-test:
name: Deploy and Test
# runs-on: arc-runner-set-oke-org-poc-4-gpu
runs-on: arc-runners-org-nvidia-ai-bp-4-gpu
needs: preflight
if: needs.preflight.outputs.checks_passed == 'true'
steps:
- name: Checkout Repository
uses: actions/checkout@v4
with:
fetch-depth: 0
# =========================================================================
# Deploy Services
# =========================================================================
- name: Create Environment File
run: |
echo "=========================================="
echo "Creating Environment File..."
echo "=========================================="
cat > deploy/.env << EOF
MONGO_USERNAME=${MONGO_USERNAME}
MONGO_PASSWORD=${MONGO_PASSWORD}
REDIS_PASSWORD=${REDIS_PASSWORD}
NVIDIA_API_KEY=${NVIDIA_API_KEY}
NGC_API_KEY=${NGC_API_KEY}
LLM_JUDGE_API_KEY=${NVIDIA_API_KEY}
EMB_API_KEY=${NVIDIA_API_KEY}
HF_TOKEN=${HF_TOKEN}
ES_COLLECTION_NAME=${ES_COLLECTION_NAME}
TAG=${TAG}
EOF
# Add MLflow profile if enabled
if [ "${{ inputs.enable_mlflow }}" = "true" ]; then
echo "COMPOSE_PROFILES=mlflow" >> deploy/.env
fi
echo "✓ Environment file created"
- name: Login to NVIDIA Container Registry
run: |
echo "=========================================="
echo "Logging in to NVIDIA Container Registry..."
echo "=========================================="
echo "${NGC_API_KEY}" | docker login nvcr.io -u '$oauthtoken' --password-stdin
echo "✓ Logged in to nvcr.io"
- name: Deploy Services via Docker Compose
run: |
echo "=========================================="
echo "Deploying Services..."
echo "=========================================="
cd deploy
# Pull images (ignore failures for local builds)
docker compose -f docker-compose.yaml pull --ignore-pull-failures || true
# Start services
docker compose -f docker-compose.yaml up -d --build
echo "✓ Services started"
- name: Wait for Services to Initialize
run: |
echo "=========================================="
echo "Waiting for Services to Initialize..."
echo "=========================================="
# Wait for initial startup
sleep 30
echo "Container Status:"
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
- name: Verify Service Health
id: verify_deployment
run: |
echo "=========================================="
echo "Verifying Service Health..."
echo "=========================================="
MAX_RETRIES=60
RETRY_INTERVAL=5
ALL_HEALTHY=true
# Check Elasticsearch
echo ""
echo "--- Checking Elasticsearch ---"
ES_OK=false
for i in $(seq 1 $MAX_RETRIES); do
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:9200/_cluster/health" 2>/dev/null || echo "000")
if [ "$HTTP_STATUS" = "200" ]; then
echo "✓ Elasticsearch is healthy"
ES_OK=true
break
fi
echo " Waiting for Elasticsearch... (attempt $i/$MAX_RETRIES, status: $HTTP_STATUS)"
sleep $RETRY_INTERVAL
done
if [ "$ES_OK" != "true" ]; then
echo "✗ Elasticsearch failed to start"
ALL_HEALTHY=false
fi
# Check API Server
echo ""
echo "--- Checking API Server ---"
API_OK=false
for i in $(seq 1 $MAX_RETRIES); do
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:8000/api/jobs" 2>/dev/null || echo "000")
if [ "$HTTP_STATUS" = "200" ] || [ "$HTTP_STATUS" = "401" ] || [ "$HTTP_STATUS" = "404" ]; then
echo "✓ API Server is responding (HTTP $HTTP_STATUS)"
API_OK=true
break
fi
echo " Waiting for API Server... (attempt $i/$MAX_RETRIES, status: $HTTP_STATUS)"
sleep $RETRY_INTERVAL
done
if [ "$API_OK" != "true" ]; then
echo "✗ API Server failed to start"
docker logs $(docker ps -aqf "name=api" | head -1) 2>&1 | tail -100 || true
ALL_HEALTHY=false
fi
# Check Redis
echo ""
echo "--- Checking Redis ---"
REDIS_OK=false
for i in $(seq 1 10); do
if docker exec $(docker ps -qf "name=redis" | head -1) redis-cli -a "$REDIS_PASSWORD" ping 2>/dev/null | grep -q "PONG"; then
echo "✓ Redis is healthy"
REDIS_OK=true
break
fi
echo " Waiting for Redis... (attempt $i/10)"
sleep 5
done
if [ "$REDIS_OK" != "true" ]; then
echo "✗ Redis failed to start"
ALL_HEALTHY=false
fi
# Check MongoDB
echo ""
echo "--- Checking MongoDB ---"
MONGO_OK=false
for i in $(seq 1 10); do
if docker exec $(docker ps -qf "name=mongodb" | head -1) mongosh --eval "db.runCommand('ping').ok" --quiet -u "$MONGO_USERNAME" -p "$MONGO_PASSWORD" 2>/dev/null | grep -q "1"; then
echo "✓ MongoDB is healthy"
MONGO_OK=true
break
fi
echo " Waiting for MongoDB... (attempt $i/10)"
sleep 5
done
if [ "$MONGO_OK" != "true" ]; then
echo "✗ MongoDB failed to start"
ALL_HEALTHY=false
fi
echo ""
if [ "$ALL_HEALTHY" = "true" ]; then
echo "=========================================="
echo "✓ All services are healthy!"
echo "=========================================="
echo "success=true" >> $GITHUB_OUTPUT
else
echo "=========================================="
echo "✗ Some services failed to start"
echo "=========================================="
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
echo "success=false" >> $GITHUB_OUTPUT
exit 1
fi
- name: Verify API Endpoints
run: |
echo "=========================================="
echo "Verifying API Endpoints..."
echo "=========================================="
# Test GET /api/jobs endpoint
echo ""
echo "--- Testing GET /api/jobs ---"
RESPONSE=$(curl -s -w "\nHTTP_STATUS:%{http_code}" "http://localhost:8000/api/jobs")
HTTP_STATUS=$(echo "$RESPONSE" | grep "HTTP_STATUS" | cut -d: -f2)
BODY=$(echo "$RESPONSE" | grep -v "HTTP_STATUS")
echo "Status: $HTTP_STATUS"
echo "Response: $BODY"
if [ "$HTTP_STATUS" = "200" ]; then
echo "✓ GET /api/jobs endpoint is working"
else
echo "✗ GET /api/jobs endpoint failed"
exit 1
fi
# Test API docs
echo ""
echo "--- Testing API Documentation ---"
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:8000/docs")
if [ "$HTTP_STATUS" = "200" ]; then
echo "✓ API Documentation is accessible"
else
echo "⚠ API Documentation returned HTTP $HTTP_STATUS"
fi
- name: Display Deployment Summary
run: |
echo "=========================================="
echo "Deployment Summary"
echo "=========================================="
echo ""
echo "Container Status:"
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
echo ""
echo "Service Endpoints:"
echo " - API Server: http://localhost:8000"
echo " - API Documentation: http://localhost:8000/docs"
echo " - Elasticsearch: http://localhost:9200"
echo " - MongoDB: localhost:27017"
echo " - Redis: localhost:6379"
echo ""
# =========================================================================
# Comprehensive Service Health Check
# =========================================================================
# This step performs a final comprehensive health check on all services
# to ensure the deployment is fully operational.
# =========================================================================
- name: Comprehensive Service Health Check
id: health_check
run: |
echo "=========================================="
echo "Comprehensive Service Health Check"
echo "=========================================="
echo ""
HEALTH_STATUS="PASS"
FAILED_SERVICES=""
# ---------------------------------------------------------------
# 1. Check all containers are running
# ---------------------------------------------------------------
echo "--- 1. Container Status Check ---"
EXPECTED_SERVICES="api celery_worker celery_parent_worker redis mongodb elasticsearch"
for service in $EXPECTED_SERVICES; do
CONTAINER_STATUS=$(docker ps --filter "name=$service" --format "{{.Status}}" | head -1)
if [ -n "$CONTAINER_STATUS" ] && echo "$CONTAINER_STATUS" | grep -q "Up"; then
echo "✓ $service: $CONTAINER_STATUS"
else
echo "✗ $service: NOT RUNNING or UNHEALTHY"
HEALTH_STATUS="FAIL"
FAILED_SERVICES="${FAILED_SERVICES}$service "
fi
done
echo ""
# ---------------------------------------------------------------
# 2. API Server Health Check
# ---------------------------------------------------------------
echo "--- 2. API Server Health Check ---"
# Test root endpoint
API_ROOT=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:8000/" 2>/dev/null || echo "000")
if [ "$API_ROOT" = "200" ] || [ "$API_ROOT" = "404" ]; then
echo "✓ API Root: HTTP $API_ROOT"
else
echo "✗ API Root: HTTP $API_ROOT"
HEALTH_STATUS="FAIL"
fi
# Test /api/jobs endpoint
API_JOBS=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:8000/api/jobs" 2>/dev/null || echo "000")
if [ "$API_JOBS" = "200" ]; then
echo "✓ API /api/jobs: HTTP $API_JOBS"
else
echo "✗ API /api/jobs: HTTP $API_JOBS"
HEALTH_STATUS="FAIL"
fi
# Test /docs endpoint (FastAPI Swagger UI)
API_DOCS=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:8000/docs" 2>/dev/null || echo "000")
if [ "$API_DOCS" = "200" ]; then
echo "✓ API Documentation: HTTP $API_DOCS"
else
echo "⚠ API Documentation: HTTP $API_DOCS (non-critical)"
fi
# Test /openapi.json endpoint
API_OPENAPI=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:8000/openapi.json" 2>/dev/null || echo "000")
if [ "$API_OPENAPI" = "200" ]; then
echo "✓ OpenAPI Schema: HTTP $API_OPENAPI"
else
echo "⚠ OpenAPI Schema: HTTP $API_OPENAPI (non-critical)"
fi
echo ""
# ---------------------------------------------------------------
# 3. Elasticsearch Health Check
# ---------------------------------------------------------------
echo "--- 3. Elasticsearch Health Check ---"
ES_HEALTH=$(curl -s "http://localhost:9200/_cluster/health" 2>/dev/null)
ES_STATUS=$(echo "$ES_HEALTH" | grep -o '"status":"[^"]*"' | cut -d'"' -f4)
ES_NODES=$(echo "$ES_HEALTH" | grep -o '"number_of_nodes":[0-9]*' | cut -d':' -f2)
if [ "$ES_STATUS" = "green" ] || [ "$ES_STATUS" = "yellow" ]; then
echo "✓ Elasticsearch cluster status: $ES_STATUS"
echo " - Number of nodes: $ES_NODES"
else
echo "✗ Elasticsearch cluster status: $ES_STATUS"
HEALTH_STATUS="FAIL"
fi
# Check if flywheel index exists or can be created
ES_INDEX_CHECK=$(curl -s -o /dev/null -w "%{http_code}" "http://localhost:9200/flywheel" 2>/dev/null || echo "000")
echo " - Flywheel index status: HTTP $ES_INDEX_CHECK"
echo ""
# ---------------------------------------------------------------
# 4. Redis Health Check
# ---------------------------------------------------------------
echo "--- 4. Redis Health Check ---"
REDIS_CONTAINER=$(docker ps -qf "name=redis" | head -1)
if [ -n "$REDIS_CONTAINER" ]; then
REDIS_PING=$(docker exec $REDIS_CONTAINER redis-cli -a "$REDIS_PASSWORD" ping 2>/dev/null || echo "FAILED")
if [ "$REDIS_PING" = "PONG" ]; then
echo "✓ Redis PING: $REDIS_PING"
# Get Redis info
REDIS_CLIENTS=$(docker exec $REDIS_CONTAINER redis-cli -a "$REDIS_PASSWORD" INFO clients 2>/dev/null | grep "connected_clients" | cut -d':' -f2 | tr -d '\r')
echo " - Connected clients: $REDIS_CLIENTS"
else
echo "✗ Redis PING failed: $REDIS_PING"
HEALTH_STATUS="FAIL"
fi
else
echo "✗ Redis container not found"
HEALTH_STATUS="FAIL"
fi
echo ""
# ---------------------------------------------------------------
# 5. MongoDB Health Check
# ---------------------------------------------------------------
echo "--- 5. MongoDB Health Check ---"
MONGO_CONTAINER=$(docker ps -qf "name=mongodb" | head -1)
if [ -n "$MONGO_CONTAINER" ]; then
MONGO_PING=$(docker exec $MONGO_CONTAINER mongosh --eval "db.runCommand('ping').ok" --quiet -u "$MONGO_USERNAME" -p "$MONGO_PASSWORD" 2>/dev/null || echo "0")
if [ "$MONGO_PING" = "1" ]; then
echo "✓ MongoDB PING: OK"
# Get MongoDB server status
MONGO_VERSION=$(docker exec $MONGO_CONTAINER mongosh --eval "db.version()" --quiet -u "$MONGO_USERNAME" -p "$MONGO_PASSWORD" 2>/dev/null || echo "unknown")
echo " - MongoDB version: $MONGO_VERSION"
else
echo "✗ MongoDB PING failed"
HEALTH_STATUS="FAIL"
fi
else
echo "✗ MongoDB container not found"
HEALTH_STATUS="FAIL"
fi
echo ""
# ---------------------------------------------------------------
# 6. Celery Workers Health Check
# ---------------------------------------------------------------
echo "--- 6. Celery Workers Health Check ---"
# Check celery_worker container logs for startup
CELERY_WORKER=$(docker ps -qf "name=celery_worker" | head -1)
if [ -n "$CELERY_WORKER" ]; then
CELERY_READY=$(docker logs $CELERY_WORKER 2>&1 | grep -c "celery@" || echo "0")
if [ "$CELERY_READY" -gt "0" ]; then
echo "✓ Celery Worker: Running"
else
echo "⚠ Celery Worker: Started but may not be fully ready"
fi
else
echo "✗ Celery Worker container not found"
HEALTH_STATUS="FAIL"
fi
CELERY_PARENT=$(docker ps -qf "name=celery_parent_worker" | head -1)
if [ -n "$CELERY_PARENT" ]; then
echo "✓ Celery Parent Worker: Running"
else
echo "✗ Celery Parent Worker container not found"
HEALTH_STATUS="FAIL"
fi
echo ""
# ---------------------------------------------------------------
# Final Summary
# ---------------------------------------------------------------
echo "=========================================="
if [ "$HEALTH_STATUS" = "PASS" ]; then
echo "✓ ALL HEALTH CHECKS PASSED"
echo "=========================================="
echo ""
echo "All services are running and healthy."
echo "The Data Flywheel deployment is ready for use."
else
echo "✗ HEALTH CHECK FAILED"
echo "=========================================="
echo ""
echo "Failed services: $FAILED_SERVICES"
echo ""
echo "Container Status:"
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
exit 1
fi
echo ""
echo "health_status=$HEALTH_STATUS" >> $GITHUB_OUTPUT
- name: Display Final Deployment Status
run: |
echo "=========================================="
echo "Deployment Complete"
echo "=========================================="
echo ""
echo "Service Endpoints:"
echo " - API Server: http://localhost:8000"
echo " - API Documentation: http://localhost:8000/docs"
echo " - OpenAPI Schema: http://localhost:8000/openapi.json"
echo " - Elasticsearch: http://localhost:9200"
echo " - MongoDB: localhost:27017"
echo " - Redis: localhost:6379"
echo ""
echo "Container Status:"
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
echo ""
# =========================================================================
# pytest Tests (COMMENTED OUT - Not running pytest in this workflow)
# =========================================================================
# The following pytest-related steps are commented out.
# To re-enable pytest testing, uncomment these sections.
# =========================================================================
# # =========================================================================
# # Run pytest Tests (in same job to access deployed services)
# # =========================================================================
# - name: Pull Test Image
# if: github.event.inputs.run_tests != 'false'
# run: |
# echo "=========================================="
# echo "Pulling Test Image..."
# echo "=========================================="
#
# docker pull ${TEST_IMAGE}
#
# echo "✓ Test image pulled successfully"
#
# - name: Verify API is Ready for Testing
# if: github.event.inputs.run_tests != 'false'
# run: |
# echo "=========================================="
# echo "Verifying API is Ready for Testing..."
# echo "=========================================="
#
# MAX_ATTEMPTS=30
# ATTEMPT=0
#
# while [ $ATTEMPT -lt $MAX_ATTEMPTS ]; do
# ATTEMPT=$((ATTEMPT + 1))
#
# HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" "${DFW_API_URL}/api/jobs" 2>/dev/null || echo "000")
#
# if [ "$HTTP_STATUS" = "200" ]; then
# echo "✓ API is ready at ${DFW_API_URL}"
# break
# fi
#
# echo " Waiting for API... (attempt $ATTEMPT/$MAX_ATTEMPTS, status: $HTTP_STATUS)"
# sleep 5
# done
#
# if [ $ATTEMPT -ge $MAX_ATTEMPTS ]; then
# echo "✗ API failed to become ready after $MAX_ATTEMPTS attempts"
# exit 1
# fi
#
# - name: Create Test Reports Directory
# if: github.event.inputs.run_tests != 'false'
# run: |
# mkdir -p test_reports
#
# # =========================================================================
# # Load Test Data from Huggingface
# # =========================================================================
# # Data Source (from notebook Section 1.1):
# # The notebook (notebooks/ai-model-distillation-financial-data.ipynb)
# # recommends using the "ic-fspml/stock_news_sentiment" dataset from
# # Huggingface for financial news classification tasks.
# #
# # Reference: https://huggingface.co/datasets/ic-fspml/stock_news_sentiment
# #
# # Override for CI Testing:
# # - Original notebook uses "news_classifier" as workload_id
# # - We override to use "primary_assistant" and "aiva-1" to match
# # the pytest test cases in blueprint-github-test/testcases/dfw/test_dfw_api.py
# # - Data is transformed to OpenAI-style request/response format
# # as required by the Data Flywheel API
# # - Minimum 100 records are loaded to satisfy the 50-record requirement
# # =========================================================================
# - name: Load Test Data from Huggingface
# if: github.event.inputs.run_tests != 'false'
# run: |
# echo "=========================================="
# echo "Loading Test Data from Huggingface..."
# echo "=========================================="
# echo ""
# echo "Data Source: ic-fspml/stock_news_sentiment (from notebook Section 1.1)"
# echo "Override: workload_id=primary_assistant, client_id=aiva-1 (to match pytest)"
# echo ""
#
# # Install required Python packages
# # Use --break-system-packages for externally-managed Python environments (PEP 668)
# # elasticsearch==8.* is required for compatibility with Elasticsearch 8.12.2 server
# pip install --break-system-packages datasets "elasticsearch>=8.0.0,<9.0.0"
#
# # Run Python script directly to download and load data
# # =====================================================================
# # Data Source (from notebook Section 1.1):
# # Dataset: ic-fspml/stock_news_sentiment
# # Reference: https://huggingface.co/datasets/ic-fspml/stock_news_sentiment
# #
# # Override for CI Testing:
# # - Original notebook uses: workload_id="news_classifier"
# # - Pytest expects: workload_id="primary_assistant", client_id="aiva-1"
# # =====================================================================
# python3 << 'PYTHON_SCRIPT'
# import sys
# from datetime import datetime
# from datasets import load_dataset
# from elasticsearch import Elasticsearch
#
# # Configuration - Override for CI Testing
# WORKLOAD_ID = "primary_assistant"
# CLIENT_ID = "aiva-1"
# ES_URL = "http://localhost:9200"
# ES_INDEX = "flywheel"
# # MIN_RECORDS must be large enough for train/test split (at least 200+)
# MIN_RECORDS = 500
#
# print("Downloading dataset from Huggingface: ic-fspml/stock_news_sentiment")
# ds = load_dataset("ic-fspml/stock_news_sentiment")
# print(f"Dataset loaded. Train split has {len(ds['train'])} records")
#
# es = Elasticsearch([ES_URL])
# if not es.indices.exists(index=ES_INDEX):
# es.indices.create(index=ES_INDEX)
# print(f"Created Elasticsearch index: {ES_INDEX}")
#
# records_loaded = 0
# for i, item in enumerate(ds['train']):
# if records_loaded >= MIN_RECORDS:
# break
# headline = item.get('article_headline', item.get('headline', ''))
# if not headline:
# continue
# timestamp = int(datetime.utcnow().timestamp()) + i
# doc = {
# "timestamp": timestamp,
# "workload_id": WORKLOAD_ID,
# "client_id": CLIENT_ID,
# "request": {
# "model": "meta/llama-3.3-70b-instruct",
# "messages": [
# {"role": "system", "content": "You are a financial news classifier."},
# {"role": "user", "content": f"Classify this headline: {headline}"}
# ]
# },
# "response": {
# "choices": [{"message": {"role": "assistant", "content": "[[[analyst rating]]]"}}]
# }
# }
# es.index(index=ES_INDEX, document=doc)
# records_loaded += 1
# if records_loaded % 20 == 0:
# print(f" Loaded {records_loaded} records...")
#
# es.indices.flush(index=ES_INDEX)
# es.indices.refresh(index=ES_INDEX)
# print(f"Successfully loaded {records_loaded} records to Elasticsearch")
# print(f" - workload_id: {WORKLOAD_ID}, client_id: {CLIENT_ID}, index: {ES_INDEX}")
#
# count = es.count(index=ES_INDEX)['count']
# print(f" - Total records in index: {count}")
# if count < 50:
# print(f"ERROR: Not enough records. Need 50, got {count}")
# sys.exit(1)
# PYTHON_SCRIPT
#
# echo ""
# echo "Test data loaded successfully"
#
# # =========================================================================
# # Run pytest - DFW API Tests
# # =========================================================================
# # Skipped Test: test_create_and_monitor_job_to_completion
# # This test requires an external NEMO service (nemo.test) to complete
# # the job execution. The Data Flywheel service attempts to connect to
# # NEMO for NIM model deployment, which is not available in this CI
# # environment. The test fails with:
# # "Failed to resolve 'nemo.test' ([Errno -2] Name or service not known)"
# #
# # The remaining tests (cancel_job, delete_job) verify the core API
# # functionality without requiring the external NEMO dependency.
# # =========================================================================
# - name: Run pytest - DFW API Tests
# if: github.event.inputs.run_tests != 'false'
# run: |
# echo "=========================================="
# echo "Running pytest Tests..."
# echo "=========================================="
# echo ""
# echo "Test Configuration:"
# echo " - Test Image: ${TEST_IMAGE}"
# echo " - DFW API URL: ${DFW_API_URL}"
# echo " - pytest marker: dfw"
# echo " - Skipped: test_create_and_monitor_job_to_completion (requires NEMO service)"
# echo ""
#
# docker run --rm --network host \
# -v "$(pwd)/test_reports:/app/reports" \
# -e DFW_API_URL="${DFW_API_URL}" \
# ${TEST_IMAGE} \
# pytest testcases/dfw/test_dfw_api.py \
# -m "dfw" \
# -k "not test_create_and_monitor_job_to_completion" \
# --dfw-api-url "${DFW_API_URL}" \
# --html=/app/reports/dfw_test_report.html \
# --self-contained-html \
# -v
#
# echo ""
# echo "✓ pytest tests completed"
#
# - name: Upload Test Reports
# if: always() && github.event.inputs.run_tests != 'false'
# uses: actions/upload-artifact@v4
# with:
# name: pytest-test-reports
# path: test_reports/*.html
# retention-days: 30
# if-no-files-found: warn
#
# - name: Display Test Results Summary
# if: always() && github.event.inputs.run_tests != 'false'
# run: |
# echo "=========================================="
# echo "Test Results Summary"
# echo "=========================================="
#
# if [ -f "test_reports/dfw_test_report.html" ]; then
# echo "✓ Test report generated: test_reports/dfw_test_report.html"
# else
# echo "⚠ No test report found"
# fi
# =========================================================================
# Cleanup (at end of same job)
# =========================================================================
- name: Cleanup Services
if: always() && github.event.inputs.skip_cleanup != 'true'
run: |
echo "=========================================="
echo "Cleaning up deployment..."
echo "=========================================="
cd deploy
# Stop and remove containers, networks, volumes
docker compose -f docker-compose.yaml down --volumes --remove-orphans || true
# Clean up any dangling resources
docker system prune -f || true
echo "✓ Cleanup complete"
- name: Collect Logs on Failure
if: failure()
run: |
echo "=========================================="
echo "Collecting Logs for Debugging..."
echo "=========================================="
echo ""
echo "--- Container Status ---"
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
echo ""
echo "--- API Container Logs ---"
docker compose -f deploy/docker-compose.yaml logs api --tail=100 2>/dev/null || echo "No API logs available"
echo ""
echo "--- Celery Worker Logs ---"
docker compose -f deploy/docker-compose.yaml logs celery_worker --tail=50 2>/dev/null || echo "No Celery logs available"
# =========================================================================
# Email Notification
# =========================================================================
# Sends email notification with CI results to the QA team.
# Requires secrets: SMTP_USERNAME, SMTP_PASSWORD
# =========================================================================
- name: Set Result Output
id: set_result
if: always()
run: |
# Check if all required jobs passed
if [ "${{ needs.preflight.result }}" == "success" ] && \
[ "${{ job.status }}" == "success" ]; then
echo "RESULT=PASS" >> $GITHUB_OUTPUT
else
echo "RESULT=FAIL" >> $GITHUB_OUTPUT
fi
- name: Send Email Notification
uses: dawidd6/action-send-mail@6e71c855c9a091d80a519621b9fd3e8d252ca40c
if: always() && env.ENABLE_EMAIL_NOTIFICATION == 'true'
with:
server_address: smtp.gmail.com
server_port: 587
username: ${{ secrets.SMTP_USERNAME }}
password: ${{ secrets.SMTP_PASSWORD }}
subject: "CI Result: AI Model Distillation for Financial Data - ${{ steps.set_result.outputs.RESULT }}"
to: Github-Action-Blueprint-QA@nvidia.com
from: github-workflow-notification@gmail.com
html_body: |
<h2>AI Model Distillation for Financial Data CI Notification</h2>
<p><strong>Repository:</strong> ${{ github.repository }}</p>
<p><strong>Branch:</strong> ${{ github.ref_name }}</p>
<p><strong>Commit:</strong> ${{ github.sha }}</p>
<p><strong>Result:</strong> <span style="color: ${{ steps.set_result.outputs.RESULT == 'PASS' && 'green' || 'red' }}; font-weight: bold;">${{ steps.set_result.outputs.RESULT }}</span></p>
<h3>Job Results</h3>
<table border="1" cellpadding="5" cellspacing="0">
<tr><th>Job</th><th>Status</th></tr>
<tr><td>Preflight</td><td>${{ needs.preflight.result }}</td></tr>
<tr><td>Deploy & Test</td><td>${{ job.status }}</td></tr>
</table>
<p><a href="${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}">View Workflow Run</a></p>