youngkingdom/dify
1
0
Fork 0
mirror of https://github.com/langgenius/dify.git synced 2026-03-23 07:17:55 +08:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'feat/summary-index' into deploy/dev

Browse Source
This commit is contained in:
zxhlyh
2026-01-28 09:50:05 +08:00
parent 938b036621 f4ab04267f
commit ea44d2ea47
301 changed files with 40720 additions and 8308 deletions
Download Patch File Download Diff File Expand all files Collapse all files

90
api/controllers/console/datasets/datasets.py
View File

@ -8,7 +8,7 @@ from werkzeug.exceptions import Forbidden, NotFound
import services
from configs import dify_config
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.apikey import (
api_key_item_model,
@ -34,6 +34,7 @@ from core.rag.retrieval.retrieval_methods import RetrievalMethod
from extensions.ext_database import db
from fields.app_fields import app_detail_kernel_fields, related_app_list
from fields.dataset_fields import (
content_fields,
dataset_detail_fields,
dataset_fields,
dataset_query_detail_fields,
@ -41,6 +42,7 @@ from fields.dataset_fields import (
doc_metadata_fields,
external_knowledge_info_fields,
external_retrieval_model_fields,
file_info_fields,
icon_info_fields,
keyword_setting_fields,
reranking_model_fields,
@ -55,41 +57,33 @@ from models.dataset import DatasetPermissionEnum
from models.provider_ids import ModelProviderID
from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
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
# Register models for flask_restx to avoid dict type issues in Swagger
dataset_base_model = _get_or_create_model("DatasetBase", dataset_fields)
dataset_base_model = get_or_create_model("DatasetBase", dataset_fields)
tag_model = _get_or_create_model("Tag", tag_fields)
tag_model = get_or_create_model("Tag", tag_fields)
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)
external_knowledge_info_model = _get_or_create_model("ExternalKnowledgeInfo", external_knowledge_info_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)
external_retrieval_model = get_or_create_model("ExternalRetrievalModel", external_retrieval_model_fields)
doc_metadata_model = _get_or_create_model("DatasetDocMetadata", doc_metadata_fields)
doc_metadata_model = get_or_create_model("DatasetDocMetadata", doc_metadata_fields)
icon_info_model = _get_or_create_model("DatasetIconInfo", icon_info_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)
@ -98,14 +92,22 @@ dataset_detail_fields_copy["external_knowledge_info"] = fields.Nested(external_k
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)
dataset_detail_model = _get_or_create_model("DatasetDetail", dataset_detail_fields_copy)
dataset_detail_model = get_or_create_model("DatasetDetail", dataset_detail_fields_copy)
dataset_query_detail_model = _get_or_create_model("DatasetQueryDetail", dataset_query_detail_fields)
file_info_model = get_or_create_model("DatasetFileInfo", file_info_fields)
app_detail_kernel_model = _get_or_create_model("AppDetailKernel", app_detail_kernel_fields)
content_fields_copy = content_fields.copy()
content_fields_copy["file_info"] = fields.Nested(file_info_model, allow_null=True)
content_model = get_or_create_model("DatasetContent", content_fields_copy)
dataset_query_detail_fields_copy = dataset_query_detail_fields.copy()
dataset_query_detail_fields_copy["queries"] = fields.Nested(content_model)
dataset_query_detail_model = get_or_create_model("DatasetQueryDetail", dataset_query_detail_fields_copy)
app_detail_kernel_model = get_or_create_model("AppDetailKernel", app_detail_kernel_fields)
related_app_list_copy = related_app_list.copy()
related_app_list_copy["data"] = fields.List(fields.Nested(app_detail_kernel_model))
related_app_list_model = _get_or_create_model("RelatedAppList", related_app_list_copy)
related_app_list_model = get_or_create_model("RelatedAppList", related_app_list_copy)
def _validate_indexing_technique(value: str | None) -> str | None:
@ -177,7 +179,18 @@ class IndexingEstimatePayload(BaseModel):
return result
register_schema_models(console_ns, DatasetCreatePayload, DatasetUpdatePayload, IndexingEstimatePayload)
class ConsoleDatasetListQuery(BaseModel):
page: int = Field(default=1, description="Page number")
limit: int = Field(default=20, description="Number of items per page")
keyword: str | None = Field(default=None, description="Search keyword")
include_all: bool = Field(default=False, description="Include all datasets")
ids: list[str] = Field(default_factory=list, description="Filter by dataset IDs")
tag_ids: list[str] = Field(default_factory=list, description="Filter by tag IDs")
register_schema_models(
console_ns, DatasetCreatePayload, DatasetUpdatePayload, IndexingEstimatePayload, ConsoleDatasetListQuery
)
def _get_retrieval_methods_by_vector_type(vector_type: str | None, is_mock: bool = False) -> dict[str, list[str]]:
@ -276,18 +289,19 @@ class DatasetListApi(Resource):
@enterprise_license_required
def get(self):
current_user, current_tenant_id = current_account_with_tenant()
page = request.args.get("page", default=1, type=int)
limit = request.args.get("limit", default=20, type=int)
ids = request.args.getlist("ids")
query = ConsoleDatasetListQuery.model_validate(request.args.to_dict())
# provider = request.args.get("provider", default="vendor")
search = request.args.get("keyword", default=None, type=str)
tag_ids = request.args.getlist("tag_ids")
include_all = request.args.get("include_all", default="false").lower() == "true"
if ids:
datasets, total = DatasetService.get_datasets_by_ids(ids, current_tenant_id)
if query.ids:
datasets, total = DatasetService.get_datasets_by_ids(query.ids, current_tenant_id)
else:
datasets, total = DatasetService.get_datasets(
page, limit, current_tenant_id, current_user, search, tag_ids, include_all
query.page,
query.limit,
current_tenant_id,
current_user,
query.keyword,
query.tag_ids,
query.include_all,
)
# check embedding setting
@ -319,7 +333,13 @@ class DatasetListApi(Resource):
else:
item.update({"partial_member_list": []})
response = {"data": data, "has_more": len(datasets) == limit, "limit": limit, "total": total, "page": page}
response = {
"data": data,
"has_more": len(datasets) == query.limit,
"limit": query.limit,
"total": total,
"page": query.page,
}
return response, 200
@console_ns.doc("create_dataset")