llama-stack/llama_stack/cli/stack/build.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

159 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.datatypes import * # noqa: F403
from pathlib import Path
import yaml
class StackBuild(Subcommand):
def __init__(self, subparsers: argparse._SubParsersAction):
super().__init__()
self.parser = subparsers.add_parser(
"build",
prog="llama stack build",
description="Build a Llama stack container",
formatter_class=argparse.RawTextHelpFormatter,
)
self._add_arguments()
self.parser.set_defaults(func=self._run_stack_build_command)
def _add_arguments(self):
self.parser.add_argument(
"config",
type=str,
default=None,
nargs="*",
help="Path to a config file to use for the build. You can find example configs in llama_stack/distribution/example_configs. If this argument is not provided, you will be prompted to enter information interactively",
)
self.parser.add_argument(
"--name",
type=str,
help="Name of the llama stack build to override from template config",
)
def _run_stack_build_command_from_build_config(
self, build_config: BuildConfig
) -> None:
import json
import os
from llama_stack.distribution.build import ApiInput, build_image, ImageType
from llama_stack.distribution.utils.config_dirs import DISTRIBS_BASE_DIR
from llama_stack.distribution.utils.serialize import EnumEncoder
from termcolor import cprint
# save build.yaml spec for building same distribution again
if build_config.image_type == ImageType.docker.value:
# docker needs build file to be in the llama-stack repo dir to be able to copy over to the image
llama_stack_path = Path(os.path.relpath(__file__)).parent.parent.parent
build_dir = (
llama_stack_path / "configs/distributions" / build_config.image_type
)
else:
build_dir = (
Path(os.getenv("CONDA_PREFIX")).parent
/ f"llamastack-{build_config.name}"
)
os.makedirs(build_dir, exist_ok=True)
build_file_path = build_dir / f"{build_config.name}-build.yaml"
with open(build_file_path, "w") as f:
to_write = json.loads(json.dumps(build_config.dict(), cls=EnumEncoder))
f.write(yaml.dump(to_write, sort_keys=False))
build_image(build_config, build_file_path)
cprint(
f"Build spec configuration saved at {str(build_file_path)}",
color="blue",
)
cprint(
f"You may now run `llama stack configure {build_config.name}` or `llama stack configure {str(build_file_path)}`",
color="green",
)
def _run_stack_build_command(self, args: argparse.Namespace) -> None:
from llama_stack.distribution.distribution import Api, api_providers
from llama_stack.distribution.utils.dynamic import instantiate_class_type
from prompt_toolkit import prompt
from prompt_toolkit.validation import Validator
from termcolor import cprint
if not args.config:
name = prompt(
"> Enter a unique name for identifying your Llama Stack build (e.g. my-local-stack): "
)
image_type = prompt(
"> Enter the image type you want your Llama Stack to be built as (docker or conda): ",
validator=Validator.from_callable(
lambda x: x in ["docker", "conda"],
error_message="Invalid image type, please enter conda or docker",
),
default="conda",
)
cprint(
f"\n Llama Stack is composed of several APIs working together. Let's configure the providers (implementations) you want to use for these APIs.",
color="green",
)
providers = dict()
for api in Api:
all_providers = api_providers()
providers_for_api = all_providers[api]
api_provider = prompt(
"> Enter the API provider for the {} API: (default=meta-reference): ".format(
api.value
),
validator=Validator.from_callable(
lambda x: x in providers_for_api,
error_message="Invalid provider, please enter one of the following: {}".format(
providers_for_api.keys()
),
),
default=(
"meta-reference"
if "meta-reference" in providers_for_api
else list(providers_for_api.keys())[0]
),
)
providers[api.value] = api_provider
description = prompt(
"\n > (Optional) Enter a short description for your Llama Stack: ",
default="",
)
distribution_spec = DistributionSpec(
providers=providers,
description=description,
)
build_config = BuildConfig(
name=name, image_type=image_type, distribution_spec=distribution_spec
)
self._run_stack_build_command_from_build_config(build_config)
return
with open(args.config, "r") as f:
try:
build_config = BuildConfig(**yaml.safe_load(f))
except Exception as e:
self.parser.error(f"Could not parse config file {args.config}: {e}")
return
if args.name:
build_config.name = args.name
self._run_stack_build_command_from_build_config(build_config)