mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-06-28 02:53:30 +00:00
113 lines
2.8 KiB
Bash
Executable file
113 lines
2.8 KiB
Bash
Executable file
#!/bin/bash
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LLAMA_MODELS_DIR=${LLAMA_MODELS_DIR:-}
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LLAMA_TOOLCHAIN_DIR=${LLAMA_TOOLCHAIN_DIR:-}
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TEST_PYPI_VERSION=${TEST_PYPI_VERSION:-}
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if [ "$#" -ne 4 ]; then
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echo "Usage: $0 <distribution_type> <build_name> <docker_base> <pip_dependencies>
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echo "Example: $0 distribution_type my-fastapi-app python:3.9-slim 'fastapi uvicorn'
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exit 1
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fi
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distribution_type=$1
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build_name="$2"
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image_name="llamastack-$build_name"
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docker_base=$3
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pip_dependencies=$4
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# Define color codes
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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NC='\033[0m' # No Color
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set -euo pipefail
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SCRIPT_DIR=$(dirname "$(readlink -f "$0")")
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REPO_DIR=$(dirname $(dirname "$SCRIPT_DIR"))
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TEMP_DIR=$(mktemp -d)
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add_to_docker() {
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local input
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output_file="$TEMP_DIR/Dockerfile"
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if [ -t 0 ]; then
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printf '%s\n' "$1" >>"$output_file"
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else
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# If stdin is not a terminal, read from it (heredoc)
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cat >>"$output_file"
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fi
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}
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add_to_docker <<EOF
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FROM $docker_base
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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iputils-ping net-tools iproute2 dnsutils telnet \
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curl wget telnet \
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procps psmisc lsof \
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traceroute \
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bubblewrap \
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&& rm -rf /var/lib/apt/lists/*
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EOF
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toolchain_mount="/app/llama-toolchain-source"
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models_mount="/app/llama-models-source"
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if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
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if [ ! -d "$LLAMA_TOOLCHAIN_DIR" ]; then
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echo "${RED}Warning: LLAMA_TOOLCHAIN_DIR is set but directory does not exist: $LLAMA_TOOLCHAIN_DIR${NC}" >&2
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exit 1
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fi
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add_to_docker "RUN pip install $toolchain_mount"
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else
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add_to_docker "RUN pip install llama-toolchain"
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fi
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if [ -n "$LLAMA_MODELS_DIR" ]; then
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if [ ! -d "$LLAMA_MODELS_DIR" ]; then
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echo "${RED}Warning: LLAMA_MODELS_DIR is set but directory does not exist: $LLAMA_MODELS_DIR${NC}" >&2
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exit 1
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fi
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add_to_docker <<EOF
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RUN pip uninstall -y llama-models
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RUN pip install $models_mount
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EOF
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fi
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if [ -n "$pip_dependencies" ]; then
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add_to_docker "RUN pip install $pip_dependencies"
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fi
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add_to_docker <<EOF
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# This would be good in production but for debugging flexibility lets not add it right now
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# We need a more solid production ready entrypoint.sh anyway
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#
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# ENTRYPOINT ["python", "-m", "llama_toolchain.core.server"]
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EOF
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printf "Dockerfile created successfully in $TEMP_DIR/Dockerfile"
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cat $TEMP_DIR/Dockerfile
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printf "\n"
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mounts=""
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if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
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mounts="$mounts -v $(readlink -f $LLAMA_TOOLCHAIN_DIR):$toolchain_mount"
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fi
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if [ -n "$LLAMA_MODELS_DIR" ]; then
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mounts="$mounts -v $(readlink -f $LLAMA_MODELS_DIR):$models_mount"
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fi
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set -x
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podman build -t $image_name -f "$TEMP_DIR/Dockerfile" "$REPO_DIR" $mounts
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set +x
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printf "${GREEN}Succesfully setup Podman image. Configuring build...${NC}"
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echo "You can run it with: podman run -p 8000:8000 $image_name"
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$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama stack configure $distribution_type --name "$build_name" --type container
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