Spaces:
Runtime error
Runtime error
version: "3.8" | |
services: | |
# Step 1: Run Deployment | |
deployment: | |
build: | |
context: . | |
dockerfile: Dockerfile | |
command: > | |
bash -c " | |
zenml init && | |
zenml integration install mlflow -y && | |
zenml experiment-tracker register mlflow_tracker_customer_churn_new --flavor=mlflow && | |
zenml model-deployer register mlflow_customer_churn_new --flavor=mlflow && | |
zenml stack register mlflow_stack_customer_churn_new -a default -o default -d mlflow -e mlflow_tracker_customer_churn_new --set && | |
zenml stack set mlflow_stack_customer_churn_new && | |
python3 run_pipeline.py&& | |
python3 run_deployment.py | |
" | |
volumes: | |
- .:/app | |
working_dir: /app | |
restart: on-failure | |
healthcheck: | |
test: ["CMD", "curl", "-f", "http://localhost:8000/health"] # Adjust URL for deployment health check | |
interval: 10s | |
retries: 3 | |
start_period: 5s | |
timeout: 5s | |
# Step 2: Run FastAPI service after Deployment is completed | |
fastapi_service: | |
build: | |
context: . | |
dockerfile: Dockerfile | |
command: ["uvicorn", "backend.fastapi_app:app", "--host", "0.0.0.0", "--port", "8001"] | |
depends_on: | |
- deployment | |
volumes: | |
- .:/app | |
working_dir: /app | |
ports: | |
- "8001:8001" | |
restart: on-failure | |
healthcheck: | |
test: ["CMD", "curl", "-f", "http://localhost:8001/health"] # Adjust URL for FastAPI health check | |
interval: 10s | |
retries: 3 | |
start_period: 5s | |
timeout: 5s | |
# Step 3: Run Streamlit UI after FastAPI service is up | |
streamlit: | |
build: | |
context: . | |
dockerfile: Dockerfile | |
command: ["streamlit", "run", "frontend/main.py"] | |
depends_on: | |
- fastapi_service | |
volumes: | |
- .:/app | |
working_dir: /app | |
ports: | |
- "8501:8501" | |
restart: on-failure | |
healthcheck: | |
test: ["CMD", "curl", "-f", "http://localhost:8501/health"] # Adjust URL for Streamlit health check | |
interval: 10s | |
retries: 3 | |
start_period: 5s | |
timeout: 5s | |