opensource/dify
3
0
Fork 0
mirror of https://github.com/langgenius/dify.git synced 2026-09-24 23:22:26 +08:00
Code Issues Packages Projects Releases Wiki Activity

chore: bump pyrefly from 0.55.0 to 0.57.0 (#33755)

Browse Source 
Co-authored-by: yuchengpersonal <yuchengpersonal@users.noreply.github.com>
Co-authored-by: Asuka Minato <i@asukaminato.eu.org>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
yuchengpersonal
2026-03-24 23:22:18 +09:00
committed by GitHub
co-authored by yuchengpersonal Asuka Minato autofix-ci[bot]
parent defb982c3e
commit 9065d54f4a
5 changed files with 22 additions and 21 deletions
Download Patch File Download Diff File Expand all files Collapse all files
api/controllers/console/datasets/datasets_segments.py
+2 -2
View File
@@ -45,7 +45,7 @@ def _get_segment_with_summary(segment, dataset_id):
"""Helper function to marshal segment and add summary information."""
from services.summary_index_service import SummaryIndexService
segment_dict = dict(marshal(segment, segment_fields))
segment_dict = dict(marshal(segment, segment_fields)) # type: ignore
# Query summary for this segment (only enabled summaries)
summary = SummaryIndexService.get_segment_summary(segment_id=segment.id, dataset_id=dataset_id)
segment_dict["summary"] = summary.summary_content if summary else None
@@ -206,7 +206,7 @@ class DatasetDocumentSegmentListApi(Resource):
# Add summary to each segment
segments_with_summary = []
for segment in segments.items:
segment_dict = dict(marshal(segment, segment_fields))
segment_dict = dict(marshal(segment, segment_fields)) # type: ignore
segment_dict["summary"] = summaries.get(segment.id)
segments_with_summary.append(segment_dict)
api/controllers/service_api/dataset/dataset.py
+6 -6
View File
@@ -153,15 +153,15 @@ class DatasetListApi(DatasetApiResource):
data = marshal(datasets, dataset_detail_fields)
for item in data:
if item["indexing_technique"] == "high_quality" and item["embedding_model_provider"]:
item["embedding_model_provider"] = str(ModelProviderID(item["embedding_model_provider"]))
item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}"
if item["indexing_technique"] == "high_quality" and item["embedding_model_provider"]: # type: ignore
item["embedding_model_provider"] = str(ModelProviderID(item["embedding_model_provider"])) # type: ignore
item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}" # type: ignore
if item_model in model_names:
item["embedding_available"] = True
item["embedding_available"] = True # type: ignore
else:
item["embedding_available"] = False
item["embedding_available"] = False # type: ignore
else:
item["embedding_available"] = True
item["embedding_available"] = True # type: ignore
response = {
"data": data,
"has_more": len(datasets) == query.limit,