mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-07-29 15:23:51 +00:00
only consume config as argument
This commit is contained in:
Xi Yan
parent
aebec57ed7
commit
987e1cafc4
6 changed files with 39 additions and 91 deletions
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@ -8,7 +8,6 @@ import argparse
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from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.core.datatypes import * # noqa: F403
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import yaml
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@ -52,33 +51,9 @@ class StackBuild(Subcommand):
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from llama_toolchain.core.distribution_registry import (
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available_distribution_specs,
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)
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from llama_toolchain.core.package import BuildType
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from llama_toolchain.core.package import ImageType
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allowed_ids = [d.distribution_type for d in available_distribution_specs()]
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self.parser.add_argument(
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"--distribution",
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type=str,
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help='Distribution to build (either "adhoc" OR one of: {})'.format(
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allowed_ids
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),
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)
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self.parser.add_argument(
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"--api-providers",
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nargs="?",
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help="Comma separated list of (api=provider) tuples",
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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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)
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self.parser.add_argument(
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"--package-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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self.parser.add_argument(
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"--config",
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type=str,
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@ -94,7 +69,7 @@ class StackBuild(Subcommand):
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from llama_toolchain.common.config_dirs import DISTRIBS_BASE_DIR
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from llama_toolchain.common.serialize import EnumEncoder
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from llama_toolchain.core.distribution_registry import resolve_distribution_spec
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from llama_toolchain.core.package import ApiInput, build_package, BuildType
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from llama_toolchain.core.package import ApiInput, build_package, ImageType
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from termcolor import cprint
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api_inputs = []
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@ -146,7 +121,7 @@ class StackBuild(Subcommand):
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build_package(
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api_inputs,
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build_type=BuildType(build_config.package_type),
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image_type=ImageType(build_config.image_type),
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name=build_config.name,
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distribution_type=build_config.distribution,
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docker_image=docker_image,
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@ -154,9 +129,7 @@ class StackBuild(Subcommand):
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# save build.yaml spec for building same distribution again
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build_dir = (
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DISTRIBS_BASE_DIR
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/ build_config.distribution
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/ BuildType(build_config.package_type).descriptor()
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DISTRIBS_BASE_DIR / build_config.distribution / build_config.image_type
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)
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os.makedirs(build_dir, exist_ok=True)
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build_file_path = build_dir / f"{build_config.name}-build.yaml"
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@ -171,6 +144,9 @@ class StackBuild(Subcommand):
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)
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def _run_stack_build_command(self, args: argparse.Namespace) -> None:
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from llama_toolchain.common.prompt_for_config import prompt_for_config
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from llama_toolchain.core.dynamic import instantiate_class_type
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if args.config:
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with open(args.config, "r") as f:
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try:
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@ -181,10 +157,5 @@ class StackBuild(Subcommand):
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self._run_stack_build_command_from_build_config(build_config)
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return
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build_config = BuildConfig(
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name=args.name,
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distribution=args.distribution,
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package_type=args.package_type,
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api_providers=args.api_providers,
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)
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build_config = prompt_for_config(BuildConfig, None)
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self._run_stack_build_command_from_build_config(build_config)
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@ -34,7 +34,7 @@ class StackConfigure(Subcommand):
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from llama_toolchain.core.distribution_registry import (
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available_distribution_specs,
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)
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from llama_toolchain.core.package import BuildType
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from llama_toolchain.core.package import ImageType
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allowed_ids = [d.distribution_type for d in available_distribution_specs()]
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self.parser.add_argument(
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@ -48,10 +48,10 @@ class StackConfigure(Subcommand):
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help="Name of the build",
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)
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self.parser.add_argument(
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"--package-type",
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"--image-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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default="conda",
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choices=[v.value for v in ImageType],
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)
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self.parser.add_argument(
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"--config",
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@ -60,22 +60,20 @@ class StackConfigure(Subcommand):
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)
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def _run_stack_configure_cmd(self, args: argparse.Namespace) -> None:
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from llama_toolchain.core.package import BuildType
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from llama_toolchain.core.package import ImageType
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if args.config:
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with open(args.config, "r") as f:
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build_config = BuildConfig(**yaml.safe_load(f))
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build_type = BuildType(build_config.package_type)
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image_type = ImageType(build_config.image_type)
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distribution = build_config.distribution
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name = build_config.name
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else:
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build_type = BuildType(args.package_type)
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image_type = ImageType(args.image_type)
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name = args.name
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distribution = args.distribution
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config_file = (
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BUILDS_BASE_DIR / distribution / build_type.descriptor() / f"{name}.yaml"
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)
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config_file = BUILDS_BASE_DIR / distribution / image_type.value / 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 stack build` first"
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@ -29,23 +29,12 @@ class StackRun(Subcommand):
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self.parser.set_defaults(func=self._run_stack_run_cmd)
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def _add_arguments(self):
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from llama_toolchain.core.package import BuildType
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from llama_toolchain.core.package import ImageType
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self.parser.add_argument(
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"--distribution",
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"config",
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type=str,
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help="Distribution whose build you want to start",
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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 you want to start",
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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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help="Path to config file to use for the run",
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)
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self.parser.add_argument(
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"--port",
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@ -59,23 +48,16 @@ class StackRun(Subcommand):
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help="Disable IPv6 support",
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default=False,
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)
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self.parser.add_argument(
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"--config",
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type=str,
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help="Path to config file to use for the run",
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)
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def _run_stack_run_cmd(self, args: argparse.Namespace) -> None:
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from llama_toolchain.common.exec import run_with_pty
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from llama_toolchain.core.package import BuildType
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from llama_toolchain.core.package import ImageType
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if not args.config:
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self.parser.error("Must specify a config file to run")
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return
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if args.config:
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path = args.config
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else:
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build_type = BuildType(args.type)
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build_dir = BUILDS_BASE_DIR / args.distribution / build_type.descriptor()
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path = build_dir / f"{args.name}.yaml"
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config_file = Path(path)
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if not config_file.exists():
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@ -117,4 +117,4 @@ ensure_conda_env_python310 "$env_name" "$pip_dependencies"
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printf "${GREEN}Successfully setup conda environment. Configuring build...${NC}\n"
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$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama stack configure --distribution $distribution_type --name "$build_name" --package-type conda_env
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$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama stack configure --distribution $distribution_type --name "$build_name" --image-type conda
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@ -200,7 +200,7 @@ class BuildConfig(BaseModel):
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default_factory=list,
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description="List of API provider names to build",
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)
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package_type: str = Field(
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default="conda_env",
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description="Type of package to build (conda_env | container)",
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image_type: str = Field(
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default="conda",
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description="Type of package to build (conda | container)",
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)
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@ -12,24 +12,21 @@ from typing import List, Optional
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import pkg_resources
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import yaml
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from pydantic import BaseModel
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from termcolor import cprint
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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 llama_toolchain.core.distribution import api_providers, SERVER_DEPENDENCIES
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class BuildType(Enum):
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container = "container"
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conda_env = "conda_env"
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def descriptor(self) -> str:
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return "docker" if self == self.container else "conda"
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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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@ -44,7 +41,7 @@ class ApiInput(BaseModel):
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def build_package(
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api_inputs: List[ApiInput],
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build_type: BuildType,
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image_type: ImageType,
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name: str,
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distribution_type: Optional[str] = None,
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docker_image: Optional[str] = None,
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@ -52,7 +49,7 @@ def build_package(
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if not distribution_type:
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distribution_type = "adhoc"
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build_dir = BUILDS_BASE_DIR / distribution_type / build_type.descriptor()
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build_dir = BUILDS_BASE_DIR / distribution_type / image_type.value
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os.makedirs(build_dir, exist_ok=True)
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package_name = name.replace("::", "-")
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@ -106,14 +103,14 @@ def build_package(
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)
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c.distribution_type = distribution_type
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c.docker_image = package_name if build_type == BuildType.container else None
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c.conda_env = package_name if build_type == BuildType.conda_env else None
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c.docker_image = package_name if image_type == ImageType.docker else None
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c.conda_env = package_name if image_type == ImageType.conda else None
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with open(package_file, "w") as f:
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to_write = json.loads(json.dumps(c.dict(), cls=EnumEncoder))
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f.write(yaml.dump(to_write, sort_keys=False))
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if build_type == BuildType.container:
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if image_type == ImageType.docker:
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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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