llama-stack/llama_stack/cli/stack/configure.py
Xi Yan d28c3dfe0f
[CLI] simplify docker run (#159)
* bake run.yaml inside docker, simplify run

* add docker template examples

* delete generated Dockerfile

* unique deps

* clean up debug

* default entrypoint

* address comments, update output msg

* update msg

* build output msg

* configure msg

* unique special_deps

* remove quotes in configure
2024-09-30 15:04:04 -07:00

173 lines
6 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import argparse
from llama_stack.cli.subcommand import Subcommand
from llama_stack.distribution.utils.config_dirs import BUILDS_BASE_DIR
from llama_stack.distribution.datatypes import * # noqa: F403
class StackConfigure(Subcommand):
"""Llama cli for configuring llama toolchain configs"""
def __init__(self, subparsers: argparse._SubParsersAction):
super().__init__()
self.parser = subparsers.add_parser(
"configure",
prog="llama stack configure",
description="configure a llama stack distribution",
formatter_class=argparse.RawTextHelpFormatter,
)
self._add_arguments()
self.parser.set_defaults(func=self._run_stack_configure_cmd)
def _add_arguments(self):
self.parser.add_argument(
"config",
type=str,
help="Path to the build config file (e.g. ~/.llama/builds/<image_type>/<name>-build.yaml). For docker, this could also be the name of the docker image. ",
)
self.parser.add_argument(
"--output-dir",
type=str,
help="Path to the output directory to store generated run.yaml config file. If not specified, will use ~/.llama/build/<image_type>/<name>-run.yaml",
)
def _run_stack_configure_cmd(self, args: argparse.Namespace) -> None:
import os
from pathlib import Path
import pkg_resources
import yaml
from termcolor import cprint
from llama_stack.distribution.build import ImageType
from llama_stack.distribution.utils.exec import run_with_pty
docker_image = None
build_config_file = Path(args.config)
if build_config_file.exists():
with open(build_config_file, "r") as f:
build_config = BuildConfig(**yaml.safe_load(f))
self._configure_llama_distribution(build_config, args.output_dir)
return
# if we get here, we need to try to find the conda build config file
cprint(
f"Could not find {build_config_file}. Trying conda build name instead...",
color="green",
)
if os.getenv("CONDA_PREFIX", ""):
conda_dir = (
Path(os.getenv("CONDA_PREFIX")).parent / f"llamastack-{args.config}"
)
else:
cprint(
"Cannot find CONDA_PREFIX. Trying default conda path ~/.conda/envs...",
color="green",
)
conda_dir = (
Path(os.path.expanduser("~/.conda/envs")) / f"llamastack-{args.config}"
)
build_config_file = Path(conda_dir) / f"{args.config}-build.yaml"
if build_config_file.exists():
with open(build_config_file, "r") as f:
build_config = BuildConfig(**yaml.safe_load(f))
self._configure_llama_distribution(build_config, args.output_dir)
return
# if we get here, we need to try to find the docker image
cprint(
f"Could not find {build_config_file}. Trying docker image name instead...",
color="green",
)
docker_image = args.config
builds_dir = BUILDS_BASE_DIR / ImageType.docker.value
if args.output_dir:
builds_dir = Path(output_dir)
os.makedirs(builds_dir, exist_ok=True)
script = pkg_resources.resource_filename(
"llama_stack", "distribution/configure_container.sh"
)
script_args = [script, docker_image, str(builds_dir)]
return_code = run_with_pty(script_args)
# we have regenerated the build config file with script, now check if it exists
if return_code != 0:
self.parser.error(
f"Failed to configure container {docker_image} with return code {return_code}. Please run `llama stack build` first. "
)
return
return
def _configure_llama_distribution(
self,
build_config: BuildConfig,
output_dir: Optional[str] = None,
):
import json
import os
from pathlib import Path
import yaml
from termcolor import cprint
from llama_stack.distribution.configure import configure_api_providers
from llama_stack.distribution.utils.serialize import EnumEncoder
builds_dir = BUILDS_BASE_DIR / build_config.image_type
if output_dir:
builds_dir = Path(output_dir)
os.makedirs(builds_dir, exist_ok=True)
image_name = build_config.name.replace("::", "-")
run_config_file = builds_dir / f"{image_name}-run.yaml"
if run_config_file.exists():
cprint(
f"Configuration already exists at `{str(run_config_file)}`. Will overwrite...",
"yellow",
attrs=["bold"],
)
config = StackRunConfig(**yaml.safe_load(run_config_file.read_text()))
else:
config = StackRunConfig(
built_at=datetime.now(),
image_name=image_name,
apis_to_serve=[],
api_providers={},
)
config = configure_api_providers(config, build_config.distribution_spec)
config.docker_image = (
image_name if build_config.image_type == "docker" else None
)
config.conda_env = image_name if build_config.image_type == "conda" else None
with open(run_config_file, "w") as f:
to_write = json.loads(json.dumps(config.dict(), cls=EnumEncoder))
f.write(yaml.dump(to_write, sort_keys=False))
cprint(
f"> YAML configuration has been written to `{run_config_file}`.",
color="blue",
)
cprint(
f"You can now run `llama stack run {image_name} --port PORT`",
color="green",
)