mirror of
https://github.com/meta-llama/llama-stack.git
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103 lines
3.4 KiB
Python
103 lines
3.4 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import argparse
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import json
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from pathlib import Path
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import yaml
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from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.common.config_dirs import BUILDS_BASE_DIR
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from llama_toolchain.core.datatypes import * # noqa: F403
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class ApiConfigure(Subcommand):
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"""Llama cli for configuring llama toolchain configs"""
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def __init__(self, subparsers: argparse._SubParsersAction):
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super().__init__()
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self.parser = subparsers.add_parser(
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"configure",
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prog="llama api configure",
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description="configure a llama stack API provider",
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formatter_class=argparse.RawTextHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_api_configure_cmd)
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def _add_arguments(self):
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from llama_toolchain.core.distribution import stack_apis
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from llama_toolchain.core.package import BuildType
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allowed_args = [a.name for a in stack_apis()]
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self.parser.add_argument(
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"api",
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choices=allowed_args,
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help="Stack API (one of: {})".format(", ".join(allowed_args)),
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)
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self.parser.add_argument(
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"--build-name",
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type=str,
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help="(Fully qualified) name of the API build to configure. Alternatively, specify the --provider and --name options.",
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required=False,
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)
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self.parser.add_argument(
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"--provider",
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type=str,
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help="The provider chosen for the API",
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required=False,
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)
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self.parser.add_argument(
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"--name",
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type=str,
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help="Name of the build target (image, conda env)",
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required=False,
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)
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self.parser.add_argument(
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"--type",
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type=str,
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default="conda_env",
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choices=[v.value for v in BuildType],
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)
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def _run_api_configure_cmd(self, args: argparse.Namespace) -> None:
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from llama_toolchain.core.package import BuildType
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if args.build_name:
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name = args.build_name
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if name.endswith(".yaml"):
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name = name.replace(".yaml", "")
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else:
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build_type = BuildType(args.type)
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name = f"{build_type.descriptor()}-{args.provider}-{args.name}"
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config_file = BUILDS_BASE_DIR / args.api / f"{name}.yaml"
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if not config_file.exists():
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self.parser.error(
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f"Could not find {config_file}. Please run `llama api build` first"
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)
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return
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configure_llama_provider(config_file)
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def configure_llama_provider(config_file: Path) -> None:
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from llama_toolchain.common.serialize import EnumEncoder
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from llama_toolchain.core.configure import configure_api_providers
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with open(config_file, "r") as f:
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config = PackageConfig(**yaml.safe_load(f))
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config.providers = configure_api_providers(config.providers)
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with open(config_file, "w") as fp:
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to_write = json.loads(json.dumps(config.dict(), cls=EnumEncoder))
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fp.write(yaml.dump(to_write, sort_keys=False))
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print(f"YAML configuration has been written to {config_file}")
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