llama-stack/llama_stack/cli/stack/configure.py
Xi Yan 6b21523c28
CLI - add back build wizard, configure with name instead of build.yaml (#74)
* add back wizard for build

* conda build path move

* polish message

* run with name only

* prompt for build

* improve comments

* update msgs

* add new lines

* move build.yaml

* address comments

* validator for providers

* move imports

* Please enter -> enter

* comments, get started guide

* nits

* fix cprint import

* fix imports
2024-09-18 11:41:56 -07:00

146 lines
5.3 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
import json
from pathlib import Path
import yaml
from llama_stack.cli.subcommand import Subcommand
from llama_stack.distribution.utils.config_dirs import BUILDS_BASE_DIR
from llama_stack.distribution.utils.exec import run_with_pty
from llama_stack.distribution.datatypes import * # noqa: F403
import os
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 pkg_resources
from llama_stack.distribution.build import ImageType
from termcolor import cprint
docker_image = None
conda_dir = Path(os.getenv("CONDA_PREFIX")).parent / f"llamastack-{args.config}"
build_config_file = Path(conda_dir) / f"{args.config}-build.yaml"
if not build_config_file.exists():
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"Can not find {build_config_file}. Please run llama stack build first or check if docker image exists"
)
build_name = docker_image.removeprefix("llamastack-")
saved_file = str(builds_dir / f"{build_name}-run.yaml")
cprint(
f"YAML configuration has been written to {saved_file}. You can now run `llama stack run {saved_file}`",
color="green",
)
return
with open(build_config_file, "r") as f:
build_config = BuildConfig(**yaml.safe_load(f))
self._configure_llama_distribution(build_config, args.output_dir)
def _configure_llama_distribution(
self,
build_config: BuildConfig,
output_dir: Optional[str] = None,
):
from llama_stack.distribution.configure import configure_api_providers
from llama_stack.distribution.utils.serialize import EnumEncoder
from termcolor import cprint
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=[],
provider_map={},
)
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` or `llama stack run {run_config_file} --port PORT`",
color="green",
)