llama-stack-mirror/llama_toolchain/cli/stack/configure.py

98 lines
3.1 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 termcolor import cprint
from llama_toolchain.cli.subcommand import Subcommand
from llama_toolchain.common.config_dirs import BUILDS_BASE_DIR
from llama_toolchain.core.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):
from llama_toolchain.core.distribution_registry import (
available_distribution_specs,
)
from llama_toolchain.core.package import BuildType
allowed_ids = [d.distribution_id for d in available_distribution_specs()]
self.parser.add_argument(
"distribution",
type=str,
help='Distribution ("adhoc" or one of: {})'.format(allowed_ids),
)
self.parser.add_argument(
"--name",
type=str,
help="Name of the build",
required=True,
)
self.parser.add_argument(
"--type",
type=str,
default="conda_env",
choices=[v.value for v in BuildType],
)
def _run_stack_configure_cmd(self, args: argparse.Namespace) -> None:
from llama_toolchain.core.package import BuildType
build_type = BuildType(args.type)
name = args.name
config_file = (
BUILDS_BASE_DIR
/ args.distribution
/ build_type.descriptor()
/ f"{name}.yaml"
)
if not config_file.exists():
self.parser.error(
f"Could not find {config_file}. Please run `llama stack build` first"
)
return
configure_llama_distribution(config_file)
def configure_llama_distribution(config_file: Path) -> None:
from llama_toolchain.common.serialize import EnumEncoder
from llama_toolchain.core.configure import configure_api_providers
with open(config_file, "r") as f:
config = PackageConfig(**yaml.safe_load(f))
if config.providers:
cprint(
f"Configuration already exists for {config.distribution_id}. Will overwrite...",
"yellow",
attrs=["bold"],
)
config.providers = configure_api_providers(config.providers)
with open(config_file, "w") as fp:
to_write = json.loads(json.dumps(config.dict(), cls=EnumEncoder))
fp.write(yaml.dump(to_write, sort_keys=False))
print(f"YAML configuration has been written to {config_file}")