forked from phoenix-oss/llama-stack-mirror
9e6561a1ec
# What does this PR do? The goal of this PR is code base modernization. Schema reflection code needed a minor adjustment to handle UnionTypes and collections.abc.AsyncIterator. (Both are preferred for latest Python releases.) Note to reviewers: almost all changes here are automatically generated by pyupgrade. Some additional unused imports were cleaned up. The only change worth of note can be found under `docs/openapi_generator` and `llama_stack/strong_typing/schema.py` where reflection code was updated to deal with "newer" types. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
35 lines
897 B
Python
35 lines
897 B
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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from typing import Any
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from pydantic import BaseModel, Field
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from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class DatabricksImplConfig(BaseModel):
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url: str = Field(
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default=None,
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description="The URL for the Databricks model serving endpoint",
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)
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api_token: str = Field(
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default=None,
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description="The Databricks API token",
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)
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@classmethod
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def sample_run_config(
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cls,
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url: str = "${env.DATABRICKS_URL}",
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api_token: str = "${env.DATABRICKS_API_TOKEN}",
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**kwargs: Any,
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) -> dict[str, Any]:
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return {
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"url": url,
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"api_token": api_token,
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}
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