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https://github.com/meta-llama/llama-stack.git
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25268854bc
# What does this PR do?
We were not using conditionals correctly, conditionals can only be used
when the env variable is set, so `${env.ENVIRONMENT:+}` would return
None is ENVIRONMENT is not set.
If you want to create a conditional value, you need to do
`${env.ENVIRONMENT:=}`, this will pick the value of ENVIRONMENT if set,
otherwise will return None.
Closes: https://github.com/meta-llama/llama-stack/issues/2564
Signed-off-by: Sébastien Han <seb@redhat.com>
61 lines
2.1 KiB
Python
61 lines
2.1 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 os
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import warnings
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from typing import Any
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from pydantic import BaseModel, Field
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class NvidiaDatasetIOConfig(BaseModel):
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"""Configuration for NVIDIA DatasetIO implementation."""
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api_key: str | None = Field(
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default_factory=lambda: os.getenv("NVIDIA_API_KEY"),
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description="The NVIDIA API key.",
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)
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dataset_namespace: str | None = Field(
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default_factory=lambda: os.getenv("NVIDIA_DATASET_NAMESPACE", "default"),
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description="The NVIDIA dataset namespace.",
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)
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project_id: str | None = Field(
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default_factory=lambda: os.getenv("NVIDIA_PROJECT_ID", "test-project"),
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description="The NVIDIA project ID.",
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)
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datasets_url: str = Field(
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default_factory=lambda: os.getenv("NVIDIA_DATASETS_URL", "http://nemo.test"),
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description="Base URL for the NeMo Dataset API",
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)
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# warning for default values
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def __post_init__(self):
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default_values = []
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if os.getenv("NVIDIA_PROJECT_ID") is None:
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default_values.append("project_id='test-project'")
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if os.getenv("NVIDIA_DATASET_NAMESPACE") is None:
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default_values.append("dataset_namespace='default'")
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if os.getenv("NVIDIA_DATASETS_URL") is None:
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default_values.append("datasets_url='http://nemo.test'")
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if default_values:
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warnings.warn(
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f"Using default values: {', '.join(default_values)}. \
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Please set the environment variables to avoid this default behavior.",
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stacklevel=2,
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)
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@classmethod
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def sample_run_config(cls, **kwargs) -> dict[str, Any]:
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return {
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"api_key": "${env.NVIDIA_API_KEY:=}",
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"dataset_namespace": "${env.NVIDIA_DATASET_NAMESPACE:=default}",
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"project_id": "${env.NVIDIA_PROJECT_ID:=test-project}",
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"datasets_url": "${env.NVIDIA_DATASETS_URL:=http://nemo.test}",
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}
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