mirror of
https://github.com/meta-llama/llama-stack.git
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d9147f3184
* remove configure from build * remove config from build * configure to regenerate file * update memory providers * remove comments * udpate build script * add reedme * update doc * rename getting started * update build cli * update docker build script * configure update * clean up configure * [tmp fix] hardware requirement tmp fix * clean up build * fix configure * add example build files for conda & docker * remove resolve_distribution_spec * remove available_distribution_specs * example build files * update example build files * more clean up on build * add name args to override name * move distribution to yaml files * generate distribution specs * getting started guide * getting started * add build yaml to Dockerfile * cleanup distribution_dependencies * configure from docker image name * build relative paths * minor comment * getting started * Update getting_started.md * Update getting_started.md * address comments, configure within docker file * remove distribution types! * update getting started * update documentation * remove listing distribution * minor heading * address nits, remove docker_image=null * gitignore
91 lines
2.6 KiB
Python
91 lines
2.6 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 json
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import os
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from datetime import datetime
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from enum import Enum
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from typing import List, Optional
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import pkg_resources
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import yaml
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from llama_toolchain.common.config_dirs import BUILDS_BASE_DIR
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from llama_toolchain.common.exec import run_with_pty
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from llama_toolchain.common.serialize import EnumEncoder
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from pydantic import BaseModel
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from termcolor import cprint
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from llama_toolchain.core.datatypes import * # noqa: F403
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from pathlib import Path
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from llama_toolchain.core.distribution import api_providers, SERVER_DEPENDENCIES
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class ImageType(Enum):
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docker = "docker"
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conda = "conda"
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class Dependencies(BaseModel):
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pip_packages: List[str]
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docker_image: Optional[str] = None
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class ApiInput(BaseModel):
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api: Api
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provider: str
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def build_package(build_config: BuildConfig, build_file_path: Path):
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package_deps = Dependencies(
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docker_image=build_config.distribution_spec.docker_image or "python:3.10-slim",
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pip_packages=SERVER_DEPENDENCIES,
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)
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# extend package dependencies based on providers spec
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all_providers = api_providers()
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for api_str, provider in build_config.distribution_spec.providers.items():
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providers_for_api = all_providers[Api(api_str)]
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if provider not in providers_for_api:
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raise ValueError(
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f"Provider `{provider}` is not available for API `{api_str}`"
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)
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provider_spec = providers_for_api[provider]
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package_deps.pip_packages.extend(provider_spec.pip_packages)
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if provider_spec.docker_image:
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raise ValueError("A stack's dependencies cannot have a docker image")
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if build_config.image_type == ImageType.docker.value:
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script = pkg_resources.resource_filename(
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"llama_toolchain", "core/build_container.sh"
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)
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args = [
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script,
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build_config.name,
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package_deps.docker_image,
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str(build_file_path),
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" ".join(package_deps.pip_packages),
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]
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else:
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script = pkg_resources.resource_filename(
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"llama_toolchain", "core/build_conda_env.sh"
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)
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args = [
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script,
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build_config.name,
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" ".join(package_deps.pip_packages),
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]
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return_code = run_with_pty(args)
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if return_code != 0:
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cprint(
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f"Failed to build target {build_config.name} with return code {return_code}",
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color="red",
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)
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return
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