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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@ -8,7 +8,7 @@ import asyncio
import logging
import secrets
import string
from typing import Any, Dict, List, Optional
from typing import Any
from pydantic import TypeAdapter
@ -74,7 +74,7 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
async def insert(
self,
documents: List[RAGDocument],
documents: list[RAGDocument],
vector_db_id: str,
chunk_size_in_tokens: int = 512,
) -> None:
@ -101,8 +101,8 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
async def query(
self,
content: InterleavedContent,
vector_db_ids: List[str],
query_config: Optional[RAGQueryConfig] = None,
vector_db_ids: list[str],
query_config: RAGQueryConfig | None = None,
) -> RAGQueryResult:
if not vector_db_ids:
return RAGQueryResult(content=None)
@ -123,7 +123,7 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
)
for vector_db_id in vector_db_ids
]
results: List[QueryChunksResponse] = await asyncio.gather(*tasks)
results: list[QueryChunksResponse] = await asyncio.gather(*tasks)
chunks = [c for r in results for c in r.chunks]
scores = [s for r in results for s in r.scores]
@ -168,7 +168,7 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
)
async def list_runtime_tools(
self, tool_group_id: Optional[str] = None, mcp_endpoint: Optional[URL] = None
self, tool_group_id: str | None = None, mcp_endpoint: URL | None = None
) -> ListToolDefsResponse:
# Parameters are not listed since these methods are not yet invoked automatically
# by the LLM. The method is only implemented so things like /tools can list without
@ -193,7 +193,7 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
]
)
async def invoke_tool(self, tool_name: str, kwargs: Dict[str, Any]) -> ToolInvocationResult:
async def invoke_tool(self, tool_name: str, kwargs: dict[str, Any]) -> ToolInvocationResult:
vector_db_ids = kwargs.get("vector_db_ids", [])
query_config = kwargs.get("query_config")
if query_config: