forked from phoenix-oss/llama-stack-mirror
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:
parent
ffe3d0b2cd
commit
9e6561a1ec
319 changed files with 2843 additions and 3033 deletions
|
@ -4,7 +4,6 @@
|
|||
# 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, Optional
|
||||
|
||||
from llama_stack.apis.datasetio import DatasetIO
|
||||
from llama_stack.apis.telemetry import QueryCondition, QuerySpansResponse, Span
|
||||
|
@ -17,10 +16,10 @@ class TelemetryDatasetMixin:
|
|||
|
||||
async def save_spans_to_dataset(
|
||||
self,
|
||||
attribute_filters: List[QueryCondition],
|
||||
attributes_to_save: List[str],
|
||||
attribute_filters: list[QueryCondition],
|
||||
attributes_to_save: list[str],
|
||||
dataset_id: str,
|
||||
max_depth: Optional[int] = None,
|
||||
max_depth: int | None = None,
|
||||
) -> None:
|
||||
if self.datasetio_api is None:
|
||||
raise RuntimeError("DatasetIO API not available")
|
||||
|
@ -48,9 +47,9 @@ class TelemetryDatasetMixin:
|
|||
|
||||
async def query_spans(
|
||||
self,
|
||||
attribute_filters: List[QueryCondition],
|
||||
attributes_to_return: List[str],
|
||||
max_depth: Optional[int] = None,
|
||||
attribute_filters: list[QueryCondition],
|
||||
attributes_to_return: list[str],
|
||||
max_depth: int | None = None,
|
||||
) -> QuerySpansResponse:
|
||||
traces = await self.query_traces(attribute_filters=attribute_filters)
|
||||
spans = []
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue