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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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18
llama_stack/providers/utils/inference/model_registry.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 Any, Dict, List, Optional
from typing import Any
from pydantic import BaseModel, Field
@ -20,13 +20,13 @@ from llama_stack.providers.utils.inference import (
# more closer to the Model class.
class ProviderModelEntry(BaseModel):
provider_model_id: str
aliases: List[str] = Field(default_factory=list)
llama_model: Optional[str] = None
aliases: list[str] = Field(default_factory=list)
llama_model: str | None = None
model_type: ModelType = ModelType.llm
metadata: Dict[str, Any] = Field(default_factory=dict)
metadata: dict[str, Any] = Field(default_factory=dict)
def get_huggingface_repo(model_descriptor: str) -> Optional[str]:
def get_huggingface_repo(model_descriptor: str) -> str | None:
for model in all_registered_models():
if model.descriptor() == model_descriptor:
return model.huggingface_repo
@ -34,7 +34,7 @@ def get_huggingface_repo(model_descriptor: str) -> Optional[str]:
def build_hf_repo_model_entry(
provider_model_id: str, model_descriptor: str, additional_aliases: Optional[List[str]] = None
provider_model_id: str, model_descriptor: str, additional_aliases: list[str] | None = None
) -> ProviderModelEntry:
aliases = [
get_huggingface_repo(model_descriptor),
@ -58,7 +58,7 @@ def build_model_entry(provider_model_id: str, model_descriptor: str) -> Provider
class ModelRegistryHelper(ModelsProtocolPrivate):
def __init__(self, model_entries: List[ProviderModelEntry]):
def __init__(self, model_entries: list[ProviderModelEntry]):
self.alias_to_provider_id_map = {}
self.provider_id_to_llama_model_map = {}
for entry in model_entries:
@ -72,11 +72,11 @@ class ModelRegistryHelper(ModelsProtocolPrivate):
self.alias_to_provider_id_map[entry.llama_model] = entry.provider_model_id
self.provider_id_to_llama_model_map[entry.provider_model_id] = entry.llama_model
def get_provider_model_id(self, identifier: str) -> Optional[str]:
def get_provider_model_id(self, identifier: str) -> str | None:
return self.alias_to_provider_id_map.get(identifier, None)
# TODO: why keep a separate llama model mapping?
def get_llama_model(self, provider_model_id: str) -> Optional[str]:
def get_llama_model(self, provider_model_id: str) -> str | None:
return self.provider_id_to_llama_model_map.get(provider_model_id, None)
async def register_model(self, model: Model) -> Model: