k-l-lambda's picture
feat: add Python ML services (CPU mode) with model download
2b7aae2
#!/bin/sh
# Parse models.yaml and generate .env for docker-compose
# Usage: ./gen-env.sh [MODELS_ROOT]
# MODELS_ROOT defaults to $MODELS_ROOT env var
MODELS_ROOT="${1:-${MODELS_ROOT:-}}"
if [ -z "$MODELS_ROOT" ]; then
echo "Usage: ./gen-env.sh <MODELS_ROOT>" >&2
echo " or set MODELS_ROOT env var" >&2
exit 1
fi
YAML="$MODELS_ROOT/starry-dist/models.yaml"
if [ ! -f "$YAML" ]; then
echo "Error: $YAML not found" >&2
exit 1
fi
ENV_FILE="$(dirname "$0")/.env"
# Extract values by parsing the simple YAML structure
# Each top-level key block: read path/config fields
current_key=""
{
echo "# Auto-generated from models.yaml — do not edit manually"
echo "# Regenerate with: ./gen-env.sh $MODELS_ROOT"
echo ""
echo "MODELS_ROOT=$MODELS_ROOT"
while IFS= read -r line; do
# Skip comments and empty lines
case "$line" in \#*|"") continue ;; esac
# Top-level key (no leading whitespace)
if echo "$line" | grep -qE '^[a-z][a-z0-9_]*:'; then
current_key=$(echo "$line" | sed 's/:.*//' | tr 'a-z' 'A-Z')
continue
fi
[ -z "$current_key" ] && continue
# Extract path: value
val=$(echo "$line" | sed -n 's/^ *path: *//p')
if [ -n "$val" ]; then
echo "${current_key}_MODEL_PATH=$val"
fi
# Extract config: value
val=$(echo "$line" | sed -n 's/^ *config: *//p')
if [ -n "$val" ]; then
echo "${current_key}_CONFIG=$val"
fi
done < "$YAML"
} > "$ENV_FILE"
echo "Generated $ENV_FILE"
cat "$ENV_FILE"