external knowledge api

# Conflicts:
#	api/core/rag/datasource/retrieval_service.py
#	api/models/dataset.py
#	api/services/dataset_service.py

api/controllers/console/__init__.py

@@ -37,7 +37,7 @@ from .auth import activate, data_source_bearer_auth, data_source_oauth, forgot_p
 from .billing import billing
 
 # Import datasets controllers
-from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing, website
+from .datasets import data_source, datasets, datasets_document, datasets_segments, external, file, hit_testing, website
 
 # Import explore controllers
 from .explore import (

api/controllers/console/datasets/datasets.py

@@ -110,6 +110,26 @@ class DatasetListApi(Resource):
             nullable=True,
             help="Invalid indexing technique.",
         )
+        parser.add_argument(
+            "external_api_template_id",
+            type=str,
+            nullable=True,
+            required=False,
+        )
+        parser.add_argument(
+            "provider",
+            type=str,
+            nullable=True,
+            choices=Dataset.PROVIDER_LIST,
+            required=False,
+            default="vendor",
+        )
+        parser.add_argument(
+            "external_knowledge_id",
+            type=str,
+            nullable=True,
+            required=False,
+        )
         args = parser.parse_args()
 
         # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
@@ -123,6 +143,9 @@ class DatasetListApi(Resource):
                 indexing_technique=args["indexing_technique"],
                 account=current_user,
                 permission=DatasetPermissionEnum.ONLY_ME,
+                provider=args["provider"],
+                external_api_template_id=args["external_api_template_id"],
+                external_knowledge_id=args["external_knowledge_id"],
             )
         except services.errors.dataset.DatasetNameDuplicateError:
             raise DatasetNameDuplicateError()

api/controllers/console/datasets/external.py

@@ -0,0 +1,254 @@
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
+
+import services
+from controllers.console import api
+from controllers.console.app.error import ProviderNotInitializeError
+from controllers.console.datasets.error import DatasetNameDuplicateError
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from fields.dataset_fields import dataset_detail_fields
+from libs.login import login_required
+from services.external_knowledge_service import ExternalDatasetService
+
+
+def _validate_name(name):
+    if not name or len(name) < 1 or len(name) > 100:
+        raise ValueError("Name must be between 1 to 100 characters.")
+    return name
+
+
+def _validate_description_length(description):
+    if len(description) > 400:
+        raise ValueError("Description cannot exceed 400 characters.")
+    return description
+
+
+class ExternalApiTemplateListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        page = request.args.get("page", default=1, type=int)
+        limit = request.args.get("limit", default=20, type=int)
+        search = request.args.get("keyword", default=None, type=str)
+
+        api_templates, total = ExternalDatasetService.get_external_api_templates(
+            page, limit, current_user.current_tenant_id, search
+        )
+        response = {
+            "data": [item.to_dict() for item in api_templates],
+            "has_more": len(api_templates) == limit,
+            "limit": limit,
+            "total": total,
+            "page": page,
+        }
+        return response, 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument(
+            "name",
+            nullable=False,
+            required=True,
+            help="Name is required. Name must be between 1 to 100 characters.",
+            type=_validate_name,
+        )
+        parser.add_argument(
+            "description",
+            nullable=False,
+            required=True,
+            help="Description is required. Description must be between 1 to 400 characters.",
+            type=_validate_description_length,
+        )
+        parser.add_argument(
+            "settings",
+            type=dict,
+            location="json",
+            nullable=False,
+            required=True,
+        )
+        args = parser.parse_args()
+
+        ExternalDatasetService.validate_api_list(args["settings"])
+
+        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
+        if not current_user.is_dataset_editor:
+            raise Forbidden()
+
+        try:
+            api_template = ExternalDatasetService.create_api_template(
+                tenant_id=current_user.current_tenant_id, user_id=current_user.id, args=args
+            )
+        except services.errors.dataset.DatasetNameDuplicateError:
+            raise DatasetNameDuplicateError()
+
+        return api_template.to_dict(), 201
+
+
+class ExternalApiTemplateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, api_template_id):
+        api_template_id = str(api_template_id)
+        api_template = ExternalDatasetService.get_api_template(api_template_id)
+        if api_template is None:
+            raise NotFound("API template not found.")
+
+        return api_template.to_dict(), 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def patch(self, api_template_id):
+        api_template_id = str(api_template_id)
+
+        parser = reqparse.RequestParser()
+        parser.add_argument(
+            "name",
+            nullable=False,
+            required=True,
+            help="type is required. Name must be between 1 to 100 characters.",
+            type=_validate_name,
+        )
+        parser.add_argument(
+            "description",
+            nullable=False,
+            required=True,
+            help="description is required. Description must be between 1 to 400 characters.",
+            type=_validate_description_length,
+        )
+        parser.add_argument(
+            "settings",
+            type=dict,
+            location="json",
+            nullable=False,
+            required=True,
+        )
+        args = parser.parse_args()
+        ExternalDatasetService.validate_api_list(args["settings"])
+
+        api_template = ExternalDatasetService.update_api_template(
+            tenant_id=current_user.current_tenant_id,
+            user_id=current_user.id,
+            api_template_id=api_template_id,
+            args=args,
+        )
+
+        return api_template.to_dict(), 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, api_template_id):
+        api_template_id = str(api_template_id)
+
+        # The role of the current user in the ta table must be admin, owner, or editor
+        if not current_user.is_editor or current_user.is_dataset_operator:
+            raise Forbidden()
+
+        ExternalDatasetService.delete_api_template(current_user.current_tenant_id, api_template_id)
+        return {"result": "success"}, 204
+
+
+class ExternalApiUseCheckApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, api_template_id):
+        api_template_id = str(api_template_id)
+
+        external_api_template_is_using = ExternalDatasetService.external_api_template_use_check(api_template_id)
+        return {"is_using": external_api_template_is_using}, 200
+
+
+class ExternalDatasetInitApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        # The role of the current user in the ta table must be admin, owner, or editor
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("api_template_id", type=str, required=True, nullable=True, location="json")
+        # parser.add_argument('name', nullable=False, required=True,
+        #                     help='name is required. Name must be between 1 to 100 characters.',
+        #                     type=_validate_name)
+        # parser.add_argument('description', type=str, required=True, nullable=True, location='json')
+        parser.add_argument("data_source", type=dict, required=True, nullable=True, location="json")
+        parser.add_argument("process_parameter", type=dict, required=True, nullable=True, location="json")
+
+        args = parser.parse_args()
+
+        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
+        if not current_user.is_dataset_editor:
+            raise Forbidden()
+
+        # validate args
+        ExternalDatasetService.document_create_args_validate(
+            current_user.current_tenant_id, args["api_template_id"], args["process_parameter"]
+        )
+
+        try:
+            dataset, documents, batch = ExternalDatasetService.init_external_dataset(
+                tenant_id=current_user.current_tenant_id,
+                user_id=current_user.id,
+                args=args,
+            )
+        except Exception as ex:
+            raise ProviderNotInitializeError(ex.description)
+        response = {"dataset": dataset, "documents": documents, "batch": batch}
+
+        return response
+
+
+class ExternalDatasetCreateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        # The role of the current user in the ta table must be admin, owner, or editor
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("external_api_template_id", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("external_knowledge_id", type=str, required=True, nullable=False, location="json")
+        parser.add_argument(
+            "name",
+            nullable=False,
+            required=True,
+            help="name is required. Name must be between 1 to 100 characters.",
+            type=_validate_name,
+        )
+        parser.add_argument("description", type=str, required=True, nullable=True, location="json")
+
+        args = parser.parse_args()
+
+        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
+        if not current_user.is_dataset_editor:
+            raise Forbidden()
+
+        try:
+            dataset = ExternalDatasetService.create_external_dataset(
+                tenant_id=current_user.current_tenant_id,
+                user_id=current_user.id,
+                args=args,
+            )
+        except services.errors.dataset.DatasetNameDuplicateError:
+            raise DatasetNameDuplicateError()
+
+        return marshal(dataset, dataset_detail_fields), 201
+
+
+api.add_resource(ExternalApiTemplateListApi, "/datasets/external-api-template")
+api.add_resource(ExternalApiTemplateApi, "/datasets/external-api-template/<uuid:api_template_id>")
+api.add_resource(ExternalApiUseCheckApi, "/datasets/external-api-template/<uuid:api_template_id>/use-check")

api/controllers/console/datasets/hit_testing.py

@@ -47,6 +47,7 @@ class HitTestingApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument("query", type=str, location="json")
         parser.add_argument("retrieval_model", type=dict, required=False, location="json")
+        parser.add_argument("external_retrival_model", type=dict, required=False, location="json")
         args = parser.parse_args()
 
         HitTestingService.hit_testing_args_check(args)
@@ -57,6 +58,7 @@ class HitTestingApi(Resource):
                 query=args["query"],
                 account=current_user,
                 retrieval_model=args["retrieval_model"],
+                external_retrieval_model=args["external_retrival_model"],
                 limit=10,
             )
 

api/controllers/console/datasets/test_external.py

@@ -0,0 +1,49 @@
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
+
+import services
+from controllers.console import api
+from controllers.console.app.error import ProviderNotInitializeError
+from controllers.console.datasets.error import DatasetNameDuplicateError
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from fields.dataset_fields import dataset_detail_fields
+from libs.login import login_required
+from services.external_knowledge_service import ExternalDatasetService
+
+class TestExternalApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument(
+            "top_k",
+            nullable=False,
+            required=True,
+            type=int,
+        )
+        parser.add_argument(
+            "score_threshold",
+            nullable=False,
+            required=True,
+            type=float,
+        )
+        args = parser.parse_args()
+        result = ExternalDatasetService.test_external_knowledge_retrival(
+            args["top_k"], args["score_threshold"]
+        )
+        response = {
+            "data": [item.to_dict() for item in api_templates],
+            "has_more": len(api_templates) == limit,
+            "limit": limit,
+            "total": total,
+            "page": page,
+        }
+        return response, 200
+
+
+
+api.add_resource(TestExternalApi, "/dify/external-knowledge/retrival-documents")

api/controllers/service_api/dataset/dataset.py

@@ -82,6 +82,26 @@ class DatasetListApi(DatasetApiResource):
             required=False,
             nullable=False,
         )
+        parser.add_argument(
+            "external_api_template_id",
+            type=str,
+            nullable=True,
+            required=False,
+            default="_validate_name",
+        )
+        parser.add_argument(
+            "provider",
+            type=str,
+            nullable=True,
+            required=False,
+            default="vendor",
+        )
+        parser.add_argument(
+            "external_knowledge_id",
+            type=str,
+            nullable=True,
+            required=False,
+        )
         args = parser.parse_args()
 
         try:
@@ -91,6 +111,9 @@ class DatasetListApi(DatasetApiResource):
                 indexing_technique=args["indexing_technique"],
                 account=current_user,
                 permission=args["permission"],
+                provider=args["provider"],
+                external_api_template_id=args["external_api_template_id"],
+                external_knowledge_id=args["external_knowledge_id"],
             )
         except services.errors.dataset.DatasetNameDuplicateError:
             raise DatasetNameDuplicateError()

api/core/rag/datasource/retrieval_service.py

@@ -10,6 +10,7 @@ from core.rag.rerank.constants.rerank_mode import RerankMode
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
 from extensions.ext_database import db
 from models.dataset import Dataset
+from services.external_knowledge_service import ExternalDatasetService
 
 default_retrieval_model = {
     "search_method": RetrievalMethod.SEMANTIC_SEARCH.value,
@@ -22,91 +23,90 @@ default_retrieval_model = {
 
 class RetrievalService:
     @classmethod
-    def retrieve(
-        cls,
-        retrieval_method: str,
-        dataset_id: str,
-        query: str,
-        top_k: int,
-        score_threshold: Optional[float] = 0.0,
-        reranking_model: Optional[dict] = None,
-        reranking_mode: Optional[str] = "reranking_model",
-        weights: Optional[dict] = None,
-    ):
-        dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
-        if not dataset or dataset.available_document_count == 0 or dataset.available_segment_count == 0:
+    def retrieve(cls, retrival_method: str, dataset_id: str, query: str,
+                 top_k: int, score_threshold: Optional[float] = .0,
+                 reranking_model: Optional[dict] = None, reranking_mode: Optional[str] = 'reranking_model',
+                 weights: Optional[dict] = None, provider: Optional[str] = None,
+                 external_retrieval_model: Optional[dict] = None):
+        dataset = db.session.query(Dataset).filter(
+            Dataset.id == dataset_id
+        ).first()
+        if not dataset:
             return []
-        all_documents = []
-        threads = []
-        exceptions = []
-        # retrieval_model source with keyword
-        if retrieval_method == "keyword_search":
-            keyword_thread = threading.Thread(
-                target=RetrievalService.keyword_search,
-                kwargs={
-                    "flask_app": current_app._get_current_object(),
-                    "dataset_id": dataset_id,
-                    "query": query,
-                    "top_k": top_k,
-                    "all_documents": all_documents,
-                    "exceptions": exceptions,
-                },
+        if provider == 'external':
+            all_documents = ExternalDatasetService.fetch_external_knowledge_retrival(
+                dataset.tenant_id,
+                dataset_id,
+                query,
+                external_retrieval_model
             )
-            threads.append(keyword_thread)
-            keyword_thread.start()
-        # retrieval_model source with semantic
-        if RetrievalMethod.is_support_semantic_search(retrieval_method):
-            embedding_thread = threading.Thread(
-                target=RetrievalService.embedding_search,
-                kwargs={
-                    "flask_app": current_app._get_current_object(),
-                    "dataset_id": dataset_id,
-                    "query": query,
-                    "top_k": top_k,
-                    "score_threshold": score_threshold,
-                    "reranking_model": reranking_model,
-                    "all_documents": all_documents,
-                    "retrieval_method": retrieval_method,
-                    "exceptions": exceptions,
-                },
-            )
-            threads.append(embedding_thread)
-            embedding_thread.start()
+        else:
+            if not dataset or dataset.available_document_count == 0 or dataset.available_segment_count == 0:
+                return []
+            all_documents = []
+            threads = []
+            exceptions = []
+            # retrieval_model source with keyword
+            if retrival_method == 'keyword_search':
+                keyword_thread = threading.Thread(target=RetrievalService.keyword_search, kwargs={
+                    'flask_app': current_app._get_current_object(),
+                    'dataset_id': dataset_id,
+                    'query': query,
+                    'top_k': top_k,
+                    'all_documents': all_documents,
+                    'exceptions': exceptions,
+                })
+                threads.append(keyword_thread)
+                keyword_thread.start()
+            # retrieval_model source with semantic
+            if RetrievalMethod.is_support_semantic_search(retrival_method):
+                embedding_thread = threading.Thread(target=RetrievalService.embedding_search, kwargs={
+                    'flask_app': current_app._get_current_object(),
+                    'dataset_id': dataset_id,
+                    'query': query,
+                    'top_k': top_k,
+                    'score_threshold': score_threshold,
+                    'reranking_model': reranking_model,
+                    'all_documents': all_documents,
+                    'retrival_method': retrival_method,
+                    'exceptions': exceptions,
+                })
+                threads.append(embedding_thread)
+                embedding_thread.start()
 
-        # retrieval source with full text
-        if RetrievalMethod.is_support_fulltext_search(retrieval_method):
-            full_text_index_thread = threading.Thread(
-                target=RetrievalService.full_text_index_search,
-                kwargs={
-                    "flask_app": current_app._get_current_object(),
-                    "dataset_id": dataset_id,
-                    "query": query,
-                    "retrieval_method": retrieval_method,
-                    "score_threshold": score_threshold,
-                    "top_k": top_k,
-                    "reranking_model": reranking_model,
-                    "all_documents": all_documents,
-                    "exceptions": exceptions,
-                },
-            )
-            threads.append(full_text_index_thread)
-            full_text_index_thread.start()
+            # retrieval source with full text
+            if RetrievalMethod.is_support_fulltext_search(retrival_method):
+                full_text_index_thread = threading.Thread(target=RetrievalService.full_text_index_search, kwargs={
+                    'flask_app': current_app._get_current_object(),
+                    'dataset_id': dataset_id,
+                    'query': query,
+                    'retrival_method': retrival_method,
+                    'score_threshold': score_threshold,
+                    'top_k': top_k,
+                    'reranking_model': reranking_model,
+                    'all_documents': all_documents,
+                    'exceptions': exceptions,
+                })
+                threads.append(full_text_index_thread)
+                full_text_index_thread.start()
 
-        for thread in threads:
-            thread.join()
+            for thread in threads:
+                thread.join()
 
-        if exceptions:
-            exception_message = ";\n".join(exceptions)
-            raise Exception(exception_message)
+            if exceptions:
+                exception_message = ';\n'.join(exceptions)
+                raise Exception(exception_message)
 
-        if retrieval_method == RetrievalMethod.HYBRID_SEARCH.value:
-            data_post_processor = DataPostProcessor(
-                str(dataset.tenant_id), reranking_mode, reranking_model, weights, False
-            )
-            all_documents = data_post_processor.invoke(
-                query=query, documents=all_documents, score_threshold=score_threshold, top_n=top_k
-            )
-        return all_documents
+            if retrival_method == RetrievalMethod.HYBRID_SEARCH.value:
+                data_post_processor = DataPostProcessor(str(dataset.tenant_id), reranking_mode,
+                                                        reranking_model, weights, False)
+                all_documents = data_post_processor.invoke(
+                    query=query,
+                    documents=all_documents,
+                    score_threshold=score_threshold,
+                    top_n=top_k
+                )
+            return all_documents
 
     @classmethod
     def keyword_search(

api/fields/external_dataset_fields.py

@@ -0,0 +1,11 @@
+from flask_restful import fields
+
+from libs.helper import TimestampField
+
+api_template_query_detail_fields = {
+    "id": fields.String,
+    "name": fields.String,
+    "setting": fields.String,
+    "created_by": fields.String,
+    "created_at": TimestampField,
+}

api/migrations/versions/2024_09_18_0659-ec3df697ebbb_external_knowledge.py

@@ -0,0 +1,74 @@
+"""external_knowledge
+
+Revision ID: ec3df697ebbb
+Revises: 675b5321501b
+Create Date: 2024-09-18 06:59:54.048478
+
+"""
+from alembic import op
+import models as models
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = 'ec3df697ebbb'
+down_revision = '675b5321501b'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('external_api_templates',
+    sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False),
+    sa.Column('name', sa.String(length=255), nullable=False),
+    sa.Column('description', sa.String(length=255), nullable=False),
+    sa.Column('tenant_id', models.types.StringUUID(), nullable=False),
+    sa.Column('settings', sa.Text(), nullable=True),
+    sa.Column('created_by', models.types.StringUUID(), nullable=False),
+    sa.Column('created_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False),
+    sa.Column('updated_by', models.types.StringUUID(), nullable=True),
+    sa.Column('updated_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False),
+    sa.PrimaryKeyConstraint('id', name='external_api_template_pkey')
+    )
+    with op.batch_alter_table('external_api_templates', schema=None) as batch_op:
+        batch_op.create_index('external_api_templates_name_idx', ['name'], unique=False)
+        batch_op.create_index('external_api_templates_tenant_idx', ['tenant_id'], unique=False)
+
+    op.create_table('external_knowledge_bindings',
+    sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False),
+    sa.Column('tenant_id', models.types.StringUUID(), nullable=False),
+    sa.Column('external_api_template_id', models.types.StringUUID(), nullable=False),
+    sa.Column('dataset_id', models.types.StringUUID(), nullable=False),
+    sa.Column('external_knowledge_id', sa.Text(), nullable=False),
+    sa.Column('created_by', models.types.StringUUID(), nullable=False),
+    sa.Column('created_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False),
+    sa.Column('updated_by', models.types.StringUUID(), nullable=True),
+    sa.Column('updated_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False),
+    sa.PrimaryKeyConstraint('id', name='external_knowledge_bindings_pkey')
+    )
+    with op.batch_alter_table('external_knowledge_bindings', schema=None) as batch_op:
+        batch_op.create_index('external_knowledge_bindings_dataset_idx', ['dataset_id'], unique=False)
+        batch_op.create_index('external_knowledge_bindings_external_api_template_idx', ['external_api_template_id'], unique=False)
+        batch_op.create_index('external_knowledge_bindings_external_knowledge_idx', ['external_knowledge_id'], unique=False)
+        batch_op.create_index('external_knowledge_bindings_tenant_idx', ['tenant_id'], unique=False)
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+
+    with op.batch_alter_table('external_knowledge_bindings', schema=None) as batch_op:
+        batch_op.drop_index('external_knowledge_bindings_tenant_idx')
+        batch_op.drop_index('external_knowledge_bindings_external_knowledge_idx')
+        batch_op.drop_index('external_knowledge_bindings_external_api_template_idx')
+        batch_op.drop_index('external_knowledge_bindings_dataset_idx')
+
+    op.drop_table('external_knowledge_bindings')
+    with op.batch_alter_table('external_api_templates', schema=None) as batch_op:
+        batch_op.drop_index('external_api_templates_tenant_idx')
+        batch_op.drop_index('external_api_templates_name_idx')
+
+    op.drop_table('external_api_templates')
+    # ### end Alembic commands ###

api/models/dataset.py

@@ -37,7 +37,8 @@ class Dataset(db.Model):
         db.Index("retrieval_model_idx", "retrieval_model", postgresql_using="gin"),
     )
 
-    INDEXING_TECHNIQUE_LIST = ["high_quality", "economy", None]
+    INDEXING_TECHNIQUE_LIST = ['high_quality', 'economy', None]
+    PROVIDER_LIST = ['vendor', 'external', None]
 
     id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()"))
     tenant_id = db.Column(StringUUID, nullable=False)
@@ -687,3 +688,67 @@ class DatasetPermission(db.Model):
     tenant_id = db.Column(StringUUID, nullable=False)
     has_permission = db.Column(db.Boolean, nullable=False, server_default=db.text("true"))
     created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)"))
+
+
+class ExternalApiTemplates(db.Model):
+    __tablename__ = 'external_api_templates'
+    __table_args__ = (
+        db.PrimaryKeyConstraint('id', name='external_api_template_pkey'),
+        db.Index('external_api_templates_tenant_idx', 'tenant_id'),
+        db.Index('external_api_templates_name_idx', 'name'),
+    )
+
+    id = db.Column(StringUUID, nullable=False,
+                   server_default=db.text('uuid_generate_v4()'))
+    name = db.Column(db.String(255), nullable=False)
+    description = db.Column(db.String(255), nullable=False)
+    tenant_id = db.Column(StringUUID, nullable=False)
+    settings = db.Column(db.Text, nullable=True)
+    created_by = db.Column(StringUUID, nullable=False)
+    created_at = db.Column(db.DateTime, nullable=False,
+                           server_default=db.text('CURRENT_TIMESTAMP(0)'))
+    updated_by = db.Column(StringUUID, nullable=True)
+    updated_at = db.Column(db.DateTime, nullable=False,
+                           server_default=db.text('CURRENT_TIMESTAMP(0)'))
+
+    def to_dict(self):
+        return {
+            'id': self.id,
+            'tenant_id': self.tenant_id,
+            'name': self.name,
+            'description': self.description,
+            'settings': self.settings_dict,
+            'created_by': self.created_by,
+            'created_at': self.created_at.isoformat(),
+        }
+
+    @property
+    def settings_dict(self):
+        try:
+            return json.loads(self.settings) if self.settings else None
+        except JSONDecodeError:
+            return None
+
+
+class ExternalKnowledgeBindings(db.Model):
+    __tablename__ = 'external_knowledge_bindings'
+    __table_args__ = (
+        db.PrimaryKeyConstraint('id', name='external_knowledge_bindings_pkey'),
+        db.Index('external_knowledge_bindings_tenant_idx', 'tenant_id'),
+        db.Index('external_knowledge_bindings_dataset_idx', 'dataset_id'),
+        db.Index('external_knowledge_bindings_external_knowledge_idx', 'external_knowledge_id'),
+        db.Index('external_knowledge_bindings_external_api_template_idx', 'external_api_template_id'),
+    )
+
+    id = db.Column(StringUUID, nullable=False,
+                   server_default=db.text('uuid_generate_v4()'))
+    tenant_id = db.Column(StringUUID, nullable=False)
+    external_api_template_id = db.Column(StringUUID, nullable=False)
+    dataset_id = db.Column(StringUUID, nullable=False)
+    external_knowledge_id = db.Column(db.Text, nullable=False)
+    created_by = db.Column(StringUUID, nullable=False)
+    created_at = db.Column(db.DateTime, nullable=False,
+                           server_default=db.text('CURRENT_TIMESTAMP(0)'))
+    updated_by = db.Column(StringUUID, nullable=True)
+    updated_at = db.Column(db.DateTime, nullable=False,
+                           server_default=db.text('CURRENT_TIMESTAMP(0)'))

api/schedule/clean_unused_messages_task.py

@@ -0,0 +1,92 @@
+import datetime
+import time
+
+import click
+from sqlalchemy import func
+from werkzeug.exceptions import NotFound
+
+import app
+from configs import dify_config
+from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
+from extensions.ext_database import db
+from models.dataset import Dataset, DatasetQuery, Document
+
+
+@app.celery.task(queue="dataset")
+def clean_unused_message_task():
+    click.echo(click.style("Start clean unused messages .", fg="green"))
+    clean_days = int(dify_config.CLEAN_DAY_SETTING)
+    start_at = time.perf_counter()
+    thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days)
+    page = 1
+    while True:
+        try:
+            # Subquery for counting new documents
+            document_subquery_new = (
+                db.session.query(Document.dataset_id, func.count(Document.id).label("document_count"))
+                .filter(
+                    Document.indexing_status == "completed",
+                    Document.enabled == True,
+                    Document.archived == False,
+                    Document.updated_at > thirty_days_ago,
+                )
+                .group_by(Document.dataset_id)
+                .subquery()
+            )
+
+            # Subquery for counting old documents
+            document_subquery_old = (
+                db.session.query(Document.dataset_id, func.count(Document.id).label("document_count"))
+                .filter(
+                    Document.indexing_status == "completed",
+                    Document.enabled == True,
+                    Document.archived == False,
+                    Document.updated_at < thirty_days_ago,
+                )
+                .group_by(Document.dataset_id)
+                .subquery()
+            )
+
+            # Main query with join and filter
+            datasets = (
+                db.session.query(Dataset)
+                .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id)
+                .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id)
+                .filter(
+                    Dataset.created_at < thirty_days_ago,
+                    func.coalesce(document_subquery_new.c.document_count, 0) == 0,
+                    func.coalesce(document_subquery_old.c.document_count, 0) > 0,
+                )
+                .order_by(Dataset.created_at.desc())
+                .paginate(page=page, per_page=50)
+            )
+
+        except NotFound:
+            break
+        if datasets.items is None or len(datasets.items) == 0:
+            break
+        page += 1
+        for dataset in datasets:
+            dataset_query = (
+                db.session.query(DatasetQuery)
+                .filter(DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id)
+                .all()
+            )
+            if not dataset_query or len(dataset_query) == 0:
+                try:
+                    # remove index
+                    index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor()
+                    index_processor.clean(dataset, None)
+
+                    # update document
+                    update_params = {Document.enabled: False}
+
+                    Document.query.filter_by(dataset_id=dataset.id).update(update_params)
+                    db.session.commit()
+                    click.echo(click.style("Cleaned unused dataset {} from db success!".format(dataset.id), fg="green"))
+                except Exception as e:
+                    click.echo(
+                        click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red")
+                    )
+    end_at = time.perf_counter()
+    click.echo(click.style("Cleaned unused dataset from db success latency: {}".format(end_at - start_at), fg="green"))

api/services/dataset_service.py

@@ -32,6 +32,7 @@ from models.dataset import (
     DatasetQuery,
     Document,
     DocumentSegment,
+    ExternalKnowledgeBindings,
 )
 from models.model import UploadFile
 from models.source import DataSourceOauthBinding
@@ -39,6 +40,7 @@ from services.errors.account import NoPermissionError
 from services.errors.dataset import DatasetNameDuplicateError
 from services.errors.document import DocumentIndexingError
 from services.errors.file import FileNotExistsError
+from services.external_knowledge_service import ExternalDatasetService
 from services.feature_service import FeatureModel, FeatureService
 from services.tag_service import TagService
 from services.vector_service import VectorService
@@ -137,7 +139,14 @@ class DatasetService:
 
     @staticmethod
     def create_empty_dataset(
-        tenant_id: str, name: str, indexing_technique: Optional[str], account: Account, permission: Optional[str] = None
+        tenant_id: str,
+        name: str,
+        indexing_technique: Optional[str],
+        account: Account,
+        permission: Optional[str] = None,
+        provider: str = "vendor",
+        external_api_template_id: Optional[str] = None,
+        external_knowledge_id: Optional[str] = None,
     ):
         # check if dataset name already exists
         if Dataset.query.filter_by(name=name, tenant_id=tenant_id).first():
@@ -156,7 +165,23 @@ class DatasetService:
         dataset.embedding_model_provider = embedding_model.provider if embedding_model else None
         dataset.embedding_model = embedding_model.model if embedding_model else None
         dataset.permission = permission or DatasetPermissionEnum.ONLY_ME
+        dataset.provider = provider
         db.session.add(dataset)
+        db.session.flush()
+
+        if provider == "external" and external_api_template_id:
+            external_api_template = ExternalDatasetService.get_api_template(external_api_template_id)
+            if not external_api_template:
+                raise ValueError("External API template not found.")
+            external_knowledge_binding = ExternalKnowledgeBindings(
+                tenant_id=tenant_id,
+                dataset_id=dataset.id,
+                external_api_template_id=external_api_template_id,
+                external_knowledge_id=external_knowledge_id,
+                created_by=account.id,
+            )
+            db.session.add(external_knowledge_binding)
+
         db.session.commit()
         return dataset
 

api/services/entities/external_knowledge_entities/external_knowledge_entities.py

@@ -0,0 +1,28 @@
+from typing import Literal, Optional, Union
+
+from pydantic import BaseModel
+
+
+class AuthorizationConfig(BaseModel):
+    type: Literal[None, "basic", "bearer", "custom"]
+    api_key: Union[None, str] = None
+    header: Union[None, str] = None
+
+
+class Authorization(BaseModel):
+    type: Literal["no-auth", "api-key"]
+    config: Optional[AuthorizationConfig] = None
+
+
+class ProcessStatusSetting(BaseModel):
+    request_method: str
+    url: str
+
+
+class ApiTemplateSetting(BaseModel):
+    method: str
+    url: str
+    request_method: str
+    api_token: str
+    headers: Optional[dict] = None
+    params: Optional[dict] = None

api/services/external_knowledge_service.py

@@ -0,0 +1,308 @@
+import json
+import random
+import time
+from copy import deepcopy
+from datetime import datetime, timezone
+from typing import Any, Optional, Union
+
+import httpx
+
+from core.helper import ssrf_proxy
+from extensions.ext_database import db
+from models.dataset import (
+    Dataset,
+    Document,
+    ExternalApiTemplates,
+    ExternalKnowledgeBindings,
+)
+from models.model import UploadFile
+from services.entities.external_knowledge_entities.external_knowledge_entities import ApiTemplateSetting, Authorization
+from services.errors.dataset import DatasetNameDuplicateError
+# from tasks.external_document_indexing_task import external_document_indexing_task
+
+
+class ExternalDatasetService:
+    @staticmethod
+    def get_external_api_templates(page, per_page, tenant_id, search=None) -> tuple[list[ExternalApiTemplates], int]:
+        query = ExternalApiTemplates.query.filter(ExternalApiTemplates.tenant_id == tenant_id).order_by(
+            ExternalApiTemplates.created_at.desc()
+        )
+        if search:
+            query = query.filter(ExternalApiTemplates.name.ilike(f"%{search}%"))
+
+        api_templates = query.paginate(page=page, per_page=per_page, max_per_page=100, error_out=False)
+
+        return api_templates.items, api_templates.total
+
+    @classmethod
+    def validate_api_list(cls, api_settings: dict):
+        if not api_settings:
+            raise ValueError("api list is empty")
+        if "endpoint" not in api_settings and not api_settings["endpoint"]:
+            raise ValueError("endpoint is required")
+        if "api_key" not in api_settings and not api_settings["api_key"]:
+            raise ValueError("api_key is required")
+
+    @staticmethod
+    def create_api_template(tenant_id: str, user_id: str, args: dict) -> ExternalApiTemplates:
+        api_template = ExternalApiTemplates(
+            tenant_id=tenant_id,
+            created_by=user_id,
+            updated_by=user_id,
+            name=args.get("name"),
+            description=args.get("description", ""),
+            settings=json.dumps(args.get("settings"), ensure_ascii=False),
+        )
+
+        db.session.add(api_template)
+        db.session.commit()
+        return api_template
+
+    @staticmethod
+    def get_api_template(api_template_id: str) -> ExternalApiTemplates:
+        return ExternalApiTemplates.query.filter_by(id=api_template_id).first()
+
+    @staticmethod
+    def update_api_template(tenant_id, user_id, api_template_id, args) -> ExternalApiTemplates:
+        api_template = ExternalApiTemplates.query.filter_by(id=api_template_id, tenant_id=tenant_id).first()
+        if api_template is None:
+            raise ValueError("api template not found")
+
+        api_template.name = args.get("name")
+        api_template.description = args.get("description", "")
+        api_template.settings = json.dumps(args.get("settings"), ensure_ascii=False)
+        api_template.updated_by = user_id
+        api_template.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
+        db.session.commit()
+
+        return api_template
+
+    @staticmethod
+    def delete_api_template(tenant_id: str, api_template_id: str):
+        api_template = ExternalApiTemplates.query.filter_by(id=api_template_id, tenant_id=tenant_id).first()
+        if api_template is None:
+            raise ValueError("api template not found")
+
+        db.session.delete(api_template)
+        db.session.commit()
+
+    @staticmethod
+    def external_api_template_use_check(api_template_id: str) -> bool:
+        count = ExternalKnowledgeBindings.query.filter_by(external_api_template_id=api_template_id).count()
+        if count > 0:
+            return True
+        return False
+
+    @staticmethod
+    def get_external_knowledge_binding_with_dataset_id(tenant_id: str, dataset_id: str) -> ExternalKnowledgeBindings:
+        external_knowledge_binding = ExternalKnowledgeBindings.query.filter_by(
+            dataset_id=dataset_id, tenant_id=tenant_id
+        ).first()
+        if not external_knowledge_binding:
+            raise ValueError("external knowledge binding not found")
+        return external_knowledge_binding
+
+    @staticmethod
+    def document_create_args_validate(tenant_id: str, api_template_id: str, process_parameter: dict):
+        api_template = ExternalApiTemplates.query.filter_by(id=api_template_id, tenant_id=tenant_id).first()
+        if api_template is None:
+            raise ValueError("api template not found")
+        settings = json.loads(api_template.settings)
+        for settings in settings:
+            custom_parameters = settings.get("document_process_setting")
+            if custom_parameters:
+                for parameter in custom_parameters:
+                    if parameter.get("required", False) and not process_parameter.get(parameter.get("name")):
+                        raise ValueError(f'{parameter.get("name")} is required')
+
+    @staticmethod
+    def init_external_dataset(tenant_id: str, user_id: str, args: dict, created_from: str = "web"):
+        api_template_id = args.get("api_template_id")
+
+        data_source = args.get("data_source")
+        if data_source is None:
+            raise ValueError("data source is required")
+
+        process_parameter = args.get("process_parameter")
+        api_template = ExternalApiTemplates.query.filter_by(id=api_template_id, tenant_id=tenant_id).first()
+        if api_template is None:
+            raise ValueError("api template not found")
+
+        dataset = Dataset(
+            tenant_id=tenant_id,
+            name=args.get("name"),
+            description=args.get("description", ""),
+            provider="external",
+            created_by=user_id,
+        )
+
+        db.session.add(dataset)
+        db.session.flush()
+
+        document = Document.query.filter_by(dataset_id=dataset.id).order_by(Document.position.desc()).first()
+
+        position = document.position + 1 if document else 1
+
+        batch = time.strftime("%Y%m%d%H%M%S") + str(random.randint(100000, 999999))
+        document_ids = []
+        if data_source["type"] == "upload_file":
+            upload_file_list = data_source["info_list"]["file_info_list"]["file_ids"]
+            for file_id in upload_file_list:
+                file = (
+                    db.session.query(UploadFile)
+                    .filter(UploadFile.tenant_id == dataset.tenant_id, UploadFile.id == file_id)
+                    .first()
+                )
+                if file:
+                    data_source_info = {
+                        "upload_file_id": file_id,
+                    }
+                    document = Document(
+                        tenant_id=dataset.tenant_id,
+                        dataset_id=dataset.id,
+                        position=position,
+                        data_source_type=data_source["type"],
+                        data_source_info=json.dumps(data_source_info),
+                        batch=batch,
+                        name=file.name,
+                        created_from=created_from,
+                        created_by=user_id,
+                    )
+                    position += 1
+                    db.session.add(document)
+                    db.session.flush()
+                    document_ids.append(document.id)
+        db.session.commit()
+        #external_document_indexing_task.delay(dataset.id, api_template_id, data_source, process_parameter)
+
+        return dataset
+
+    @staticmethod
+    def process_external_api(settings: ApiTemplateSetting, files: Union[None, dict[str, Any]]) -> httpx.Response:
+        """
+        do http request depending on api bundle
+        """
+
+        kwargs = {
+            "url": settings.url,
+            "headers": settings.headers,
+            "follow_redirects": True,
+        }
+
+        response = getattr(ssrf_proxy, settings.request_method)(data=settings.params, files=files, **kwargs)
+
+        return response
+
+    @staticmethod
+    def assembling_headers(authorization: Authorization, headers: Optional[dict] = None) -> dict[str, Any]:
+        authorization = deepcopy(authorization)
+        if headers:
+            headers = deepcopy(headers)
+        else:
+            headers = {}
+        if authorization.type == "api-key":
+            if authorization.config is None:
+                raise ValueError("authorization config is required")
+
+            if authorization.config.api_key is None:
+                raise ValueError("api_key is required")
+
+            if not authorization.config.header:
+                authorization.config.header = "Authorization"
+
+            if authorization.config.type == "bearer":
+                headers[authorization.config.header] = f"Bearer {authorization.config.api_key}"
+            elif authorization.config.type == "basic":
+                headers[authorization.config.header] = f"Basic {authorization.config.api_key}"
+            elif authorization.config.type == "custom":
+                headers[authorization.config.header] = authorization.config.api_key
+
+        return headers
+
+    @staticmethod
+    def get_api_template_settings(settings: dict) -> ApiTemplateSetting:
+        return ApiTemplateSetting.parse_obj(settings)
+
+    @staticmethod
+    def create_external_dataset(tenant_id: str, user_id: str, args: dict) -> Dataset:
+        # check if dataset name already exists
+        if Dataset.query.filter_by(name=args.get("name"), tenant_id=tenant_id).first():
+            raise DatasetNameDuplicateError(f"Dataset with name {args.get('name')} already exists.")
+        api_template = ExternalApiTemplates.query.filter_by(
+            id=args.get("external_api_template_id"), tenant_id=tenant_id
+        ).first()
+
+        if api_template is None:
+            raise ValueError("api template not found")
+
+        dataset = Dataset(
+            tenant_id=tenant_id,
+            name=args.get("name"),
+            description=args.get("description", ""),
+            provider="external",
+            created_by=user_id,
+        )
+
+        db.session.add(dataset)
+        db.session.flush()
+
+        external_knowledge_binding = ExternalKnowledgeBindings(
+            tenant_id=tenant_id,
+            dataset_id=dataset.id,
+            external_api_template_id=args.get("external_api_template_id"),
+            external_knowledge_id=args.get("external_knowledge_id"),
+            created_by=user_id,
+        )
+        db.session.add(external_knowledge_binding)
+
+        db.session.commit()
+
+        return dataset
+
+    @staticmethod
+    def fetch_external_knowledge_retrival(
+        tenant_id: str, dataset_id: str, query: str, external_retrival_parameters: dict
+    ):
+        external_knowledge_binding = ExternalKnowledgeBindings.query.filter_by(
+            dataset_id=dataset_id, tenant_id=tenant_id
+        ).first()
+        if not external_knowledge_binding:
+            raise ValueError("external knowledge binding not found")
+
+        external_api_template = ExternalApiTemplates.query.filter_by(
+            id=external_knowledge_binding.external_api_template_id
+        ).first()
+        if not external_api_template:
+            raise ValueError("external api template not found")
+
+        settings = json.loads(external_api_template.settings)
+        headers = {}
+        if settings.get("api_token"):
+            headers["Authorization"] = f"Bearer {settings.get('api_token')}"
+
+        external_retrival_parameters["query"] = query
+
+        api_template_setting = {
+            "url": f"{settings.get('endpoint')}/dify/external-knowledge/retrival-documents",
+            "request_method": "post",
+            "headers": settings.get("headers"),
+            "params": external_retrival_parameters,
+        }
+        response = ExternalDatasetService.process_external_api(ApiTemplateSetting(**api_template_setting), None)
+
+
+    @staticmethod
+    def test_external_knowledge_retrival(
+        top_k: int, score_threshold: float
+    ):
+        api_template_setting = {
+            "url": f"{settings.get('endpoint')}/dify/external-knowledge/retrival-documents",
+            "request_method": "post",
+            "headers": settings.get("headers"),
+            "params": {
+                "top_k": top_k,
+                "score_threshold": score_threshold,
+            },
+        }
+        response = ExternalDatasetService.process_external_api(ApiTemplateSetting(**api_template_setting), None)
+        return response.json()

api/services/hit_testing_service.py

@@ -19,7 +19,15 @@ default_retrieval_model = {
 
 class HitTestingService:
     @classmethod
-    def retrieve(cls, dataset: Dataset, query: str, account: Account, retrieval_model: dict, limit: int = 10) -> dict:
+    def retrieve(
+        cls,
+        dataset: Dataset,
+        query: str,
+        account: Account,
+        retrieval_model: dict,
+        external_retrieval_model: dict,
+        limit: int = 10,
+    ) -> dict:
         if dataset.available_document_count == 0 or dataset.available_segment_count == 0:
             return {
                 "query": {
@@ -48,6 +56,8 @@ class HitTestingService:
             else None,
             reranking_mode=retrieval_model.get("reranking_mode") or "reranking_model",
             weights=retrieval_model.get("weights", None),
+            provider=dataset.provider,
+            external_retrieval_model=external_retrieval_model,
         )
 
         end = time.perf_counter()

api/tasks/external_document_indexing_task.py

@@ -0,0 +1,85 @@
+import json
+import logging
+import time
+
+import click
+from celery import shared_task
+
+from core.indexing_runner import DocumentIsPausedException
+from extensions.ext_database import db
+from extensions.ext_storage import storage
+from models.dataset import Dataset, ExternalApiTemplates
+from models.model import UploadFile
+from services.external_knowledge_service import ExternalDatasetService
+
+
+@shared_task(queue="dataset")
+def external_document_indexing_task(dataset_id: str, api_template_id: str, data_source: dict, process_parameter: dict):
+    """
+    Async process document
+    :param dataset_id:
+    :param api_template_id:
+    :param data_source:
+    :param process_parameter:
+    Usage: external_document_indexing_task.delay(dataset_id, document_id)
+    """
+    start_at = time.perf_counter()
+
+    dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
+    if not dataset:
+        logging.info(
+            click.style("Processed external dataset: {} failed, dataset not exit.".format(dataset_id), fg="red")
+        )
+        return
+
+    # get external api template
+    api_template = (
+        db.session.query(ExternalApiTemplates)
+        .filter(ExternalApiTemplates.id == api_template_id, ExternalApiTemplates.tenant_id == dataset.tenant_id)
+        .first()
+    )
+
+    if not api_template:
+        logging.info(
+            click.style(
+                "Processed external dataset: {} failed, api template: {} not exit.".format(dataset_id, api_template_id),
+                fg="red",
+            )
+        )
+        return
+    files = {}
+    if data_source["type"] == "upload_file":
+        upload_file_list = data_source["info_list"]["file_info_list"]["file_ids"]
+        for file_id in upload_file_list:
+            file = (
+                db.session.query(UploadFile)
+                .filter(UploadFile.tenant_id == dataset.tenant_id, UploadFile.id == file_id)
+                .first()
+            )
+            if file:
+                files[file.id] = (file.name, storage.load_once(file.key), file.mime_type)
+    try:
+        settings = ExternalDatasetService.get_api_template_settings(json.loads(api_template.settings))
+        # assemble headers
+        headers = ExternalDatasetService.assembling_headers(settings.authorization, settings.headers)
+
+        # do http request
+        response = ExternalDatasetService.process_external_api(settings, headers, process_parameter, files)
+        job_id = response.json().get("job_id")
+        if job_id:
+            # save job_id to dataset
+            dataset.job_id = job_id
+            db.session.commit()
+
+        end_at = time.perf_counter()
+        logging.info(
+            click.style(
+                "Processed external dataset: {} successful, latency: {}".format(dataset.id, end_at - start_at),
+                fg="green",
+            )
+        )
+    except DocumentIsPausedException as ex:
+        logging.info(click.style(str(ex), fg="yellow"))
+
+    except Exception:
+        pass

docker/unstructured.yaml

@@ -0,0 +1,24 @@
+
+  # unstructured .
+  # (if used, you need to set ETL_TYPE to Unstructured in the api & worker service.)
+  unstructured:
+    image: downloads.unstructured.io/unstructured-io/unstructured-api:latest
+    profiles:
+      - unstructured
+    restart: always
+    volumes:
+      - ./volumes/unstructured:/app/data
+
+networks:
+  # create a network between sandbox, api and ssrf_proxy, and can not access outside.
+  ssrf_proxy_network:
+    driver: bridge
+    internal: true
+  milvus:
+    driver: bridge
+  opensearch-net:
+    driver: bridge
+    internal: true
+
+volumes:
+  oradata: