mirror of
https://gitee.com/dify_ai/dify.git
synced 2024-12-05 20:57:46 +08:00
212 lines
8.9 KiB
Python
212 lines
8.9 KiB
Python
from controllers.service_api import api
|
|
from controllers.service_api.app.error import ProviderNotInitializeError
|
|
from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
|
|
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
|
|
from core.model_manager import ModelManager
|
|
from core.model_runtime.entities.model_entities import ModelType
|
|
from extensions.ext_database import db
|
|
from fields.segment_fields import segment_fields
|
|
from flask_login import current_user
|
|
from flask_restful import marshal, reqparse
|
|
from models.dataset import Dataset, DocumentSegment
|
|
from services.dataset_service import DatasetService, DocumentService, SegmentService
|
|
from werkzeug.exceptions import NotFound
|
|
|
|
|
|
class SegmentApi(DatasetApiResource):
|
|
"""Resource for segments."""
|
|
|
|
@cloud_edition_billing_resource_check('vector_space', 'dataset')
|
|
def post(self, tenant_id, dataset_id, document_id):
|
|
"""Create single segment."""
|
|
# check dataset
|
|
dataset_id = str(dataset_id)
|
|
tenant_id = str(tenant_id)
|
|
dataset = db.session.query(Dataset).filter(
|
|
Dataset.tenant_id == tenant_id,
|
|
Dataset.id == dataset_id
|
|
).first()
|
|
if not dataset:
|
|
raise NotFound('Dataset not found.')
|
|
# check document
|
|
document_id = str(document_id)
|
|
document = DocumentService.get_document(dataset.id, document_id)
|
|
if not document:
|
|
raise NotFound('Document not found.')
|
|
# check embedding model setting
|
|
if dataset.indexing_technique == 'high_quality':
|
|
try:
|
|
model_manager = ModelManager()
|
|
model_manager.get_model_instance(
|
|
tenant_id=current_user.current_tenant_id,
|
|
provider=dataset.embedding_model_provider,
|
|
model_type=ModelType.TEXT_EMBEDDING,
|
|
model=dataset.embedding_model
|
|
)
|
|
except LLMBadRequestError:
|
|
raise ProviderNotInitializeError(
|
|
f"No Embedding Model available. Please configure a valid provider "
|
|
f"in the Settings -> Model Provider.")
|
|
except ProviderTokenNotInitError as ex:
|
|
raise ProviderNotInitializeError(ex.description)
|
|
# validate args
|
|
parser = reqparse.RequestParser()
|
|
parser.add_argument('segments', type=list, required=False, nullable=True, location='json')
|
|
args = parser.parse_args()
|
|
for args_item in args['segments']:
|
|
SegmentService.segment_create_args_validate(args_item, document)
|
|
segments = SegmentService.multi_create_segment(args['segments'], document, dataset)
|
|
return {
|
|
'data': marshal(segments, segment_fields),
|
|
'doc_form': document.doc_form
|
|
}, 200
|
|
|
|
def get(self, tenant_id, dataset_id, document_id):
|
|
"""Create single segment."""
|
|
# check dataset
|
|
dataset_id = str(dataset_id)
|
|
tenant_id = str(tenant_id)
|
|
dataset = db.session.query(Dataset).filter(
|
|
Dataset.tenant_id == tenant_id,
|
|
Dataset.id == dataset_id
|
|
).first()
|
|
if not dataset:
|
|
raise NotFound('Dataset not found.')
|
|
# check document
|
|
document_id = str(document_id)
|
|
document = DocumentService.get_document(dataset.id, document_id)
|
|
if not document:
|
|
raise NotFound('Document not found.')
|
|
# check embedding model setting
|
|
if dataset.indexing_technique == 'high_quality':
|
|
try:
|
|
model_manager = ModelManager()
|
|
model_manager.get_model_instance(
|
|
tenant_id=current_user.current_tenant_id,
|
|
provider=dataset.embedding_model_provider,
|
|
model_type=ModelType.TEXT_EMBEDDING,
|
|
model=dataset.embedding_model
|
|
)
|
|
except LLMBadRequestError:
|
|
raise ProviderNotInitializeError(
|
|
f"No Embedding Model available. Please configure a valid provider "
|
|
f"in the Settings -> Model Provider.")
|
|
except ProviderTokenNotInitError as ex:
|
|
raise ProviderNotInitializeError(ex.description)
|
|
|
|
parser = reqparse.RequestParser()
|
|
parser.add_argument('status', type=str,
|
|
action='append', default=[], location='args')
|
|
parser.add_argument('keyword', type=str, default=None, location='args')
|
|
args = parser.parse_args()
|
|
|
|
status_list = args['status']
|
|
keyword = args['keyword']
|
|
|
|
query = DocumentSegment.query.filter(
|
|
DocumentSegment.document_id == str(document_id),
|
|
DocumentSegment.tenant_id == current_user.current_tenant_id
|
|
)
|
|
|
|
if status_list:
|
|
query = query.filter(DocumentSegment.status.in_(status_list))
|
|
|
|
if keyword:
|
|
query = query.where(DocumentSegment.content.ilike(f'%{keyword}%'))
|
|
|
|
total = query.count()
|
|
segments = query.order_by(DocumentSegment.position).all()
|
|
return {
|
|
'data': marshal(segments, segment_fields),
|
|
'doc_form': document.doc_form,
|
|
'total': total
|
|
}, 200
|
|
|
|
|
|
class DatasetSegmentApi(DatasetApiResource):
|
|
def delete(self, tenant_id, dataset_id, document_id, segment_id):
|
|
# check dataset
|
|
dataset_id = str(dataset_id)
|
|
tenant_id = str(tenant_id)
|
|
dataset = db.session.query(Dataset).filter(
|
|
Dataset.tenant_id == tenant_id,
|
|
Dataset.id == dataset_id
|
|
).first()
|
|
if not dataset:
|
|
raise NotFound('Dataset not found.')
|
|
# check user's model setting
|
|
DatasetService.check_dataset_model_setting(dataset)
|
|
# check document
|
|
document_id = str(document_id)
|
|
document = DocumentService.get_document(dataset_id, document_id)
|
|
if not document:
|
|
raise NotFound('Document not found.')
|
|
# check segment
|
|
segment = DocumentSegment.query.filter(
|
|
DocumentSegment.id == str(segment_id),
|
|
DocumentSegment.tenant_id == current_user.current_tenant_id
|
|
).first()
|
|
if not segment:
|
|
raise NotFound('Segment not found.')
|
|
SegmentService.delete_segment(segment, document, dataset)
|
|
return {'result': 'success'}, 200
|
|
|
|
@cloud_edition_billing_resource_check('vector_space', 'dataset')
|
|
def post(self, tenant_id, dataset_id, document_id, segment_id):
|
|
# check dataset
|
|
dataset_id = str(dataset_id)
|
|
tenant_id = str(tenant_id)
|
|
dataset = db.session.query(Dataset).filter(
|
|
Dataset.tenant_id == tenant_id,
|
|
Dataset.id == dataset_id
|
|
).first()
|
|
if not dataset:
|
|
raise NotFound('Dataset not found.')
|
|
# check user's model setting
|
|
DatasetService.check_dataset_model_setting(dataset)
|
|
# check document
|
|
document_id = str(document_id)
|
|
document = DocumentService.get_document(dataset_id, document_id)
|
|
if not document:
|
|
raise NotFound('Document not found.')
|
|
if dataset.indexing_technique == 'high_quality':
|
|
# check embedding model setting
|
|
try:
|
|
model_manager = ModelManager()
|
|
model_manager.get_model_instance(
|
|
tenant_id=current_user.current_tenant_id,
|
|
provider=dataset.embedding_model_provider,
|
|
model_type=ModelType.TEXT_EMBEDDING,
|
|
model=dataset.embedding_model
|
|
)
|
|
except LLMBadRequestError:
|
|
raise ProviderNotInitializeError(
|
|
f"No Embedding Model available. Please configure a valid provider "
|
|
f"in the Settings -> Model Provider.")
|
|
except ProviderTokenNotInitError as ex:
|
|
raise ProviderNotInitializeError(ex.description)
|
|
# check segment
|
|
segment_id = str(segment_id)
|
|
segment = DocumentSegment.query.filter(
|
|
DocumentSegment.id == str(segment_id),
|
|
DocumentSegment.tenant_id == current_user.current_tenant_id
|
|
).first()
|
|
if not segment:
|
|
raise NotFound('Segment not found.')
|
|
|
|
# validate args
|
|
parser = reqparse.RequestParser()
|
|
parser.add_argument('segments', type=dict, required=False, nullable=True, location='json')
|
|
args = parser.parse_args()
|
|
|
|
SegmentService.segment_create_args_validate(args['segments'], document)
|
|
segment = SegmentService.update_segment(args['segments'], segment, document, dataset)
|
|
return {
|
|
'data': marshal(segment, segment_fields),
|
|
'doc_form': document.doc_form
|
|
}, 200
|
|
|
|
|
|
api.add_resource(SegmentApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segments')
|
|
api.add_resource(DatasetSegmentApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segments/<uuid:segment_id>')
|