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chore: enable pyupgrade fixes

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Schema reflection code needed a minor adjustment to handle UnionTypes
and collections.abc.AsyncIterator. (Both are preferred for latest Python
releases.)

Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
This commit is contained in:
Ihar Hrachyshka 2025-03-26 18:33:23 -04:00
parent ffe3d0b2cd
commit 1deb95f922
319 changed files with 2843 additions and 3033 deletions
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10
llama_stack/providers/remote/datasetio/nvidia/config.py
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@ -6,7 +6,7 @@
import os
import warnings
from typing import Any, Dict, Optional
from typing import Any
from pydantic import BaseModel, Field
@ -14,17 +14,17 @@ from pydantic import BaseModel, Field
class NvidiaDatasetIOConfig(BaseModel):
"""Configuration for NVIDIA DatasetIO implementation."""
api_key: Optional[str] = Field(
api_key: str | None = Field(
default_factory=lambda: os.getenv("NVIDIA_API_KEY"),
description="The NVIDIA API key.",
)
dataset_namespace: Optional[str] = Field(
dataset_namespace: str | None = Field(
default_factory=lambda: os.getenv("NVIDIA_DATASET_NAMESPACE", "default"),
description="The NVIDIA dataset namespace.",
)
project_id: Optional[str] = Field(
project_id: str | None = Field(
default_factory=lambda: os.getenv("NVIDIA_PROJECT_ID", "test-project"),
description="The NVIDIA project ID.",
)
@ -52,7 +52,7 @@ class NvidiaDatasetIOConfig(BaseModel):
)
@classmethod
def sample_run_config(cls, **kwargs) -> Dict[str, Any]:
def sample_run_config(cls, **kwargs) -> dict[str, Any]:
return {
"api_key": "${env.NVIDIA_API_KEY:}",
"dataset_namespace": "${env.NVIDIA_DATASET_NAMESPACE:default}",