fix: doc not gen bug (#31547)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Stephen Zhou <38493346+hyoban@users.noreply.github.com>
This commit is contained in:
Asuka Minato
2026-01-27 20:19:39 +09:00
committed by GitHub
parent e482588ef8
commit 8ec4233611
27 changed files with 473 additions and 265 deletions

View File

@ -4,7 +4,7 @@ from pydantic import BaseModel, Field
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
import services
from controllers.common.schema import register_schema_models
from controllers.common.schema import get_or_create_model, register_schema_models
from controllers.console import console_ns
from controllers.console.datasets.error import DatasetNameDuplicateError
from controllers.console.wraps import account_initialization_required, edit_permission_required, setup_required
@ -28,34 +28,27 @@ from services.hit_testing_service import HitTestingService
from services.knowledge_service import ExternalDatasetTestService
def _get_or_create_model(model_name: str, field_def):
existing = console_ns.models.get(model_name)
if existing is None:
existing = console_ns.model(model_name, field_def)
return existing
def _build_dataset_detail_model():
keyword_setting_model = _get_or_create_model("DatasetKeywordSetting", keyword_setting_fields)
vector_setting_model = _get_or_create_model("DatasetVectorSetting", vector_setting_fields)
keyword_setting_model = get_or_create_model("DatasetKeywordSetting", keyword_setting_fields)
vector_setting_model = get_or_create_model("DatasetVectorSetting", vector_setting_fields)
weighted_score_fields_copy = weighted_score_fields.copy()
weighted_score_fields_copy["keyword_setting"] = fields.Nested(keyword_setting_model)
weighted_score_fields_copy["vector_setting"] = fields.Nested(vector_setting_model)
weighted_score_model = _get_or_create_model("DatasetWeightedScore", weighted_score_fields_copy)
weighted_score_model = get_or_create_model("DatasetWeightedScore", weighted_score_fields_copy)
reranking_model = _get_or_create_model("DatasetRerankingModel", reranking_model_fields)
reranking_model = get_or_create_model("DatasetRerankingModel", reranking_model_fields)
dataset_retrieval_model_fields_copy = dataset_retrieval_model_fields.copy()
dataset_retrieval_model_fields_copy["reranking_model"] = fields.Nested(reranking_model)
dataset_retrieval_model_fields_copy["weights"] = fields.Nested(weighted_score_model, allow_null=True)
dataset_retrieval_model = _get_or_create_model("DatasetRetrievalModel", dataset_retrieval_model_fields_copy)
dataset_retrieval_model = get_or_create_model("DatasetRetrievalModel", dataset_retrieval_model_fields_copy)
tag_model = _get_or_create_model("Tag", tag_fields)
doc_metadata_model = _get_or_create_model("DatasetDocMetadata", doc_metadata_fields)
external_knowledge_info_model = _get_or_create_model("ExternalKnowledgeInfo", external_knowledge_info_fields)
external_retrieval_model = _get_or_create_model("ExternalRetrievalModel", external_retrieval_model_fields)
icon_info_model = _get_or_create_model("DatasetIconInfo", icon_info_fields)
tag_model = get_or_create_model("Tag", tag_fields)
doc_metadata_model = get_or_create_model("DatasetDocMetadata", doc_metadata_fields)
external_knowledge_info_model = get_or_create_model("ExternalKnowledgeInfo", external_knowledge_info_fields)
external_retrieval_model = get_or_create_model("ExternalRetrievalModel", external_retrieval_model_fields)
icon_info_model = get_or_create_model("DatasetIconInfo", icon_info_fields)
dataset_detail_fields_copy = dataset_detail_fields.copy()
dataset_detail_fields_copy["retrieval_model_dict"] = fields.Nested(dataset_retrieval_model)
@ -64,7 +57,7 @@ def _build_dataset_detail_model():
dataset_detail_fields_copy["external_retrieval_model"] = fields.Nested(external_retrieval_model, allow_null=True)
dataset_detail_fields_copy["doc_metadata"] = fields.List(fields.Nested(doc_metadata_model))
dataset_detail_fields_copy["icon_info"] = fields.Nested(icon_info_model)
return _get_or_create_model("DatasetDetail", dataset_detail_fields_copy)
return get_or_create_model("DatasetDetail", dataset_detail_fields_copy)
try: