forked from phoenix-oss/llama-stack-mirror
18bac27d4e
# What does this PR do? This is the second attempt to switch to system packages by default. Now with a hack to detect conda environment - in which case conda image-type is used. Note: Conda will only be used when --image-name is unset *and* CONDA_DEFAULT_ENV is set. This means that users without conda will correctly fall back to using system packages when no --image-* arguments are passed at all. [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan Uses virtualenv: ``` $ llama stack build --template ollama --image-type venv $ llama stack run --image-type venv ~/.llama/distributions/ollama/ollama-run.yaml [...] Using virtual environment: /home/ec2-user/src/llama-stack/schedule/.local [...] ``` Uses system packages (virtualenv already initialized): ``` $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] INFO 2025-03-27 20:46:22,882 llama_stack.cli.stack.run:142 server: No image type or image name provided. Assuming environment packages. [...] ``` Attempt to run from environment packages without necessary packages installed: ``` $ python -m venv barebones $ . ./barebones/bin/activate $ pip install -e . # to install llama command $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] ModuleNotFoundError: No module named 'fastapi' ``` ^ failed as expected because the environment doesn't have necessary packages installed. Now install some packages in the new environment: ``` $ pip install fastapi opentelemetry-api opentelemetry-sdk opentelemetry-exporter-otlp aiosqlite ollama openai datasets faiss-cpu mcp autoevals $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] Uvicorn running on http://['::', '0.0.0.0']:8321 (Press CTRL+C to quit) ``` Now see if setting CONDA_DEFAULT_ENV will change what happens by default: ``` $ export CONDA_DEFAULT_ENV=base $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] Using conda environment: base Conda environment base does not exist. [...] ``` --------- Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
84 lines
3.1 KiB
Python
84 lines
3.1 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 textwrap
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from llama_stack.cli.stack.utils import ImageType
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from llama_stack.cli.subcommand import Subcommand
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class StackBuild(Subcommand):
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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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"build",
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prog="llama stack build",
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description="Build a Llama stack container",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_stack_build_command)
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def _add_arguments(self):
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self.parser.add_argument(
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"--config",
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type=str,
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default=None,
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help="Path to a config file to use for the build. You can find example configs in llama_stack/distributions/**/build.yaml. If this argument is not provided, you will be prompted to enter information interactively",
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)
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self.parser.add_argument(
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"--template",
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type=str,
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default=None,
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help="Name of the example template config to use for build. You may use `llama stack build --list-templates` to check out the available templates",
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)
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self.parser.add_argument(
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"--list-templates",
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action="store_true",
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default=False,
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help="Show the available templates for building a Llama Stack distribution",
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)
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self.parser.add_argument(
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"--image-type",
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type=str,
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help="Image Type to use for the build. If not specified, will use the image type from the template config.",
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choices=[e.value for e in ImageType],
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default=ImageType.CONDA.value,
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)
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self.parser.add_argument(
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"--image-name",
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type=str,
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help=textwrap.dedent(
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f"""[for image-type={"|".join(e.value for e in ImageType)}] Name of the conda or virtual environment to use for
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the build. If not specified, currently active Conda environment will be used if found.
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"""
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),
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default=None,
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)
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self.parser.add_argument(
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"--print-deps-only",
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default=False,
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action="store_true",
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help="Print the dependencies for the stack only, without building the stack",
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)
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self.parser.add_argument(
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"--run",
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action="store_true",
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default=False,
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help="Run the stack after building using the same image type, name, and other applicable arguments",
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)
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def _run_stack_build_command(self, args: argparse.Namespace) -> None:
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# always keep implementation completely silo-ed away from CLI so CLI
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# can be fast to load and reduces dependencies
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from ._build import run_stack_build_command
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return run_stack_build_command(args)
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