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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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12
llama_stack/apis/vector_dbs/vector_dbs.py
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@ -4,7 +4,7 @@
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import List, Literal, Optional, Protocol, runtime_checkable
from typing import Literal, Protocol, runtime_checkable
from pydantic import BaseModel
@ -33,11 +33,11 @@ class VectorDBInput(BaseModel):
vector_db_id: str
embedding_model: str
embedding_dimension: int
provider_vector_db_id: Optional[str] = None
provider_vector_db_id: str | None = None
class ListVectorDBsResponse(BaseModel):
data: List[VectorDB]
data: list[VectorDB]
@runtime_checkable
@ -57,9 +57,9 @@ class VectorDBs(Protocol):
self,
vector_db_id: str,
embedding_model: str,
embedding_dimension: Optional[int] = 384,
provider_id: Optional[str] = None,
provider_vector_db_id: Optional[str] = None,
embedding_dimension: int | None = 384,
provider_id: str | None = None,
provider_vector_db_id: str | None = None,
) -> VectorDB: ...
@webmethod(route="/vector-dbs/{vector_db_id:path}", method="DELETE")