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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/providers/inline/vector_io/faiss/faiss.py
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@ -9,7 +9,7 @@ import base64
import io
import json
import logging
from typing import Any, Dict, List, Optional
from typing import Any
import faiss
import numpy as np
@ -84,7 +84,7 @@ class FaissIndex(EmbeddingIndex):
await self.kvstore.delete(f"{FAISS_INDEX_PREFIX}{self.bank_id}")
async def add_chunks(self, chunks: List[Chunk], embeddings: NDArray):
async def add_chunks(self, chunks: list[Chunk], embeddings: NDArray):
# Add dimension check
embedding_dim = embeddings.shape[1] if len(embeddings.shape) > 1 else embeddings.shape[0]
if embedding_dim != self.index.d:
@ -159,7 +159,7 @@ class FaissVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
inference_api=self.inference_api,
)
async def list_vector_dbs(self) -> List[VectorDB]:
async def list_vector_dbs(self) -> list[VectorDB]:
return [i.vector_db for i in self.cache.values()]
async def unregister_vector_db(self, vector_db_id: str) -> None:
@ -176,8 +176,8 @@ class FaissVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
async def insert_chunks(
self,
vector_db_id: str,
chunks: List[Chunk],
ttl_seconds: Optional[int] = None,
chunks: list[Chunk],
ttl_seconds: int | None = None,
) -> None:
index = self.cache.get(vector_db_id)
if index is None:
@ -189,7 +189,7 @@ class FaissVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
self,
vector_db_id: str,
query: InterleavedContent,
params: Optional[Dict[str, Any]] = None,
params: dict[str, Any] | None = None,
) -> QueryChunksResponse:
index = self.cache.get(vector_db_id)
if index is None: