Jyong 46154c6705
Feat/dataset service api (#1245)
Co-authored-by: jyong <jyong@dify.ai>
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
2023-09-27 16:06:32 +08:00

60 lines
2.6 KiB
Python

from flask_login import current_user
from flask_restful import reqparse, marshal
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
from core.model_providers.error import ProviderTokenNotInitError, LLMBadRequestError
from core.model_providers.model_factory import ModelFactory
from extensions.ext_database import db
from fields.segment_fields import segment_fields
from models.dataset import Dataset
from services.dataset_service import 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()
# 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:
ModelFactory.get_embedding_model(
tenant_id=current_user.current_tenant_id,
model_provider_name=dataset.embedding_model_provider,
model_name=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
api.add_resource(SegmentApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segments')