chore: enable pyupgrade fixes (#1806)

# 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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GPG key ID: B5690EEEBB952194
319 changed files with 2843 additions and 3033 deletions

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@ -5,7 +5,7 @@
# the root directory of this source tree.
import json
import logging
from typing import Any, Dict, List, Optional
from typing import Any
import weaviate
import weaviate.classes as wvc
@ -33,7 +33,7 @@ class WeaviateIndex(EmbeddingIndex):
self.client = client
self.collection_name = collection_name
async def add_chunks(self, chunks: List[Chunk], embeddings: NDArray):
async def add_chunks(self, chunks: list[Chunk], embeddings: NDArray):
assert len(chunks) == len(embeddings), (
f"Chunk length {len(chunks)} does not match embedding length {len(embeddings)}"
)
@ -80,7 +80,7 @@ class WeaviateIndex(EmbeddingIndex):
return QueryChunksResponse(chunks=chunks, scores=scores)
async def delete(self, chunk_ids: List[str]) -> None:
async def delete(self, chunk_ids: list[str]) -> None:
collection = self.client.collections.get(self.collection_name)
collection.data.delete_many(where=Filter.by_property("id").contains_any(chunk_ids))
@ -144,7 +144,7 @@ class WeaviateVectorIOAdapter(
self.inference_api,
)
async def _get_and_cache_vector_db_index(self, vector_db_id: str) -> Optional[VectorDBWithIndex]:
async def _get_and_cache_vector_db_index(self, vector_db_id: str) -> VectorDBWithIndex | None:
if vector_db_id in self.cache:
return self.cache[vector_db_id]
@ -167,8 +167,8 @@ class WeaviateVectorIOAdapter(
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 = await self._get_and_cache_vector_db_index(vector_db_id)
if not index:
@ -180,7 +180,7 @@ class WeaviateVectorIOAdapter(
self,
vector_db_id: str,
query: InterleavedContent,
params: Optional[Dict[str, Any]] = None,
params: dict[str, Any] | None = None,
) -> QueryChunksResponse:
index = await self._get_and_cache_vector_db_index(vector_db_id)
if not index: