scripts/start_space.sh

#!/bin/bash

# Fail on error
set -e

# Ensure DVC is initialized (in case .dvc folder was not copied)
if [ ! -d ".dvc" ]; then
    echo "Initializing DVC..."
    dvc init --no-scm
    dvc remote add -d origin https://dagshub.com/se4ai2526-uniba/Hopcroft.dvc
fi

# Determine credentials
# Prefer specific DAGSHUB vars, fallback to MLFLOW vars (often the same for DagsHub)
USER=${DAGSHUB_USERNAME:-$MLFLOW_TRACKING_USERNAME}
PASS=${DAGSHUB_TOKEN:-$MLFLOW_TRACKING_PASSWORD}

if [ -n "$USER" ] && [ -n "$PASS" ]; then
    echo "$(date) - Configuring DVC authentication for DagsHub..."
    # Configure local config (not committed)
    dvc remote modify origin --local auth basic
    dvc remote modify origin --local user "$USER"
    dvc remote modify origin --local password "$PASS"
else
    echo "$(date) - WARNING: No DagsHub credentials found. DVC pull might fail if the remote is private."
fi

echo "$(date) - Pulling models from DVC..."
# Pull only the necessary files for inference
dvc pull models/random_forest_tfidf_gridsearch.pkl.dvc \
         models/tfidf_vectorizer.pkl.dvc \
         models/label_names.pkl.dvc || echo "DVC pull failed, but continuing..."

# Create Nginx temp directories
mkdir -p /tmp/client_temp /tmp/proxy_temp /tmp/fastcgi_temp /tmp/uwsgi_temp /tmp/scgi_temp

echo "$(date) - Checking models existence..."
ls -la models/

echo "$(date) - Starting FastAPI application in background..."
# Using 0.0.0.0 to be safe
uvicorn hopcroft_skill_classification_tool_competition.main:app --host 0.0.0.0 --port 8000 >> /tmp/fastapi.log 2>&1 &

# Wait for API to start
echo "$(date) - Waiting for API to start (30s)..."
for i in {1..30}; do
    if curl -s http://127.0.0.1:8000/health > /dev/null; then
        echo "$(date) - API is UP!"
        break
    fi
    echo "$(date) - Waiting... ($i/30)"
    sleep 2
done

echo "$(date) - Configuring and starting Prometheus..."
# Copy alert rules
cp monitoring/prometheus/alert_rules.yml /tmp/alert_rules.yml

# Create a config for the space
cat <<EOF > /tmp/prometheus.yml
global:
  scrape_interval: 15s
  evaluation_interval: 15s

rule_files:
  - "/tmp/alert_rules.yml"

scrape_configs:
  - job_name: 'hopcroft-api'
    metrics_path: '/metrics'
    static_configs:
      - targets: ['127.0.0.1:8000']
    scrape_interval: 10s
EOF

# Start Prometheus
# --web.external-url needs to match the path in Nginx
prometheus \
    --config.file=/tmp/prometheus.yml \
    --storage.tsdb.path=/tmp/prometheus_data \
    --web.listen-address=0.0.0.0:9090 \
    --web.external-url=/prometheus/ \
    --web.route-prefix=/prometheus/ \
    >> /tmp/prometheus.log 2>&1 &

echo "$(date) - Starting Nginx reverse proxy..."
if ! command -v nginx &> /dev/null; then
    echo "$(date) - ERROR: nginx not found in PATH"
    exit 1
fi
nginx -c /app/nginx.conf -g "daemon off;" >> /tmp/nginx_startup.log 2>&1 &

echo "$(date) - Waiting for Nginx to initialize..."
sleep 5

# Check if Nginx is running
if ps aux | grep -v grep | grep -q "nginx"; then
    echo "$(date) - Nginx is running."
else
    echo "$(date) - ERROR: Nginx failed to start. Logs:"
    cat /tmp/nginx_startup.log
fi

echo "$(date) - Final backend check before starting Streamlit..."
curl -v http://127.0.0.1:8000/health || echo "FastAPI health check failed!"

echo "$(date) - Starting Streamlit application on 127.0.0.1:8501..."
export API_BASE_URL="http://127.0.0.1:8000"
streamlit run hopcroft_skill_classification_tool_competition/streamlit_app.py \
    --server.port 8501 \
    --server.address 127.0.0.1 \
    --server.enableCORS=false \
    --server.enableXsrfProtection=false \
    --server.headless true &

# Wait for Streamlit to start
echo "$(date) - Waiting for Streamlit to start (30s)..."
for i in {1..30}; do
    if curl -s http://127.0.0.1:8501/healthz > /dev/null; then
        echo "$(date) - Streamlit is UP!"
        break
    fi
    echo "$(date) - Waiting for Streamlit... ($i/30)"
    sleep 2
done

echo "$(date) - Process started. Tailing Nginx logs for debug..."
tail -f /tmp/nginx_startup.log /tmp/fastapi.log