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chore: enable pyupgrade fixes (#1806)

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# 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>
This commit is contained in:
Ihar Hrachyshka 2025-05-01 17:23:50 -04:00 • committed by GitHub
parent ffe3d0b2cd
commit 9e6561a1ec
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319 changed files with 2843 additions and 3033 deletions
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16
llama_stack/apis/synthetic_data_generation/synthetic_data_generation.py
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@ -5,7 +5,7 @@
# the root directory of this source tree.
from enum import Enum
from typing import Any, Dict, List, Optional, Protocol, Union
from typing import Any, Protocol
from pydantic import BaseModel
@ -28,24 +28,24 @@ class FilteringFunction(Enum):
class SyntheticDataGenerationRequest(BaseModel):
"""Request to generate synthetic data. A small batch of prompts and a filtering function"""
dialogs: List[Message]
dialogs: list[Message]
filtering_function: FilteringFunction = FilteringFunction.none
model: Optional[str] = None
model: str | None = None
@json_schema_type
class SyntheticDataGenerationResponse(BaseModel):
"""Response from the synthetic data generation. Batch of (prompt, response, score) tuples that pass the threshold."""
synthetic_data: List[Dict[str, Any]]
statistics: Optional[Dict[str, Any]] = None
synthetic_data: list[dict[str, Any]]
statistics: dict[str, Any] | None = None
class SyntheticDataGeneration(Protocol):
@webmethod(route="/synthetic-data-generation/generate")
def synthetic_data_generate(
self,
dialogs: List[Message],
dialogs: list[Message],
filtering_function: FilteringFunction = FilteringFunction.none,
model: Optional[str] = None,
) -> Union[SyntheticDataGenerationResponse]: ...
model: str | None = None,
) -> SyntheticDataGenerationResponse: ...