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from flask_login import current_user | |
from flask_restful import marshal, reqparse | |
from werkzeug.exceptions import NotFound | |
from controllers.service_api import api | |
from controllers.service_api.app.error import ProviderNotInitializeError | |
from controllers.service_api.wraps import ( | |
DatasetApiResource, | |
cloud_edition_billing_knowledge_limit_check, | |
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 models.dataset import Dataset, DocumentSegment | |
from services.dataset_service import DatasetService, DocumentService, SegmentService | |
class SegmentApi(DatasetApiResource): | |
"""Resource for segments.""" | |
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( | |
"No Embedding Model available. Please configure a valid provider " | |
"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( | |
"No Embedding Model available. Please configure a valid provider " | |
"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 | |
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( | |
"No Embedding Model available. Please configure a valid provider " | |
"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('segment', type=dict, required=False, nullable=True, location='json') | |
args = parser.parse_args() | |
SegmentService.segment_create_args_validate(args['segment'], document) | |
segment = SegmentService.update_segment(args['segment'], 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>') | |