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When using bash style substitution env variable in distribution template, we are processing the string and convert it to the type associated with the provider's config class. This allows us to return the proper type. This is crucial for api key since they are not strings anymore but SecretStr. If the key is unset we will get an empty string which will result in a Pydantic error like: ``` ERROR 2025-09-25 21:40:44,565 __main__:527 core::server: Error creating app: 1 validation error for AnthropicConfig api_key Input should be a valid string For further information visit https://errors.pydantic.dev/2.11/v/string_type ``` Signed-off-by: Sébastien Han <seb@redhat.com>
63 lines
2.2 KiB
Python
63 lines
2.2 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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from llama_stack.core.secret_types import MySecretStr
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class NvidiaDatasetIOConfig(BaseModel):
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"""Configuration for NVIDIA DatasetIO implementation."""
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api_key: MySecretStr = Field(
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default_factory=lambda: MySecretStr(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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