Spaces:
Build error
Build error
File size: 9,278 Bytes
a8b3f00 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 |
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."""
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_knowledge_limit_check("add_segment", "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.")
if document.indexing_status != "completed":
raise NotFound("Document is not completed.")
if not document.enabled:
raise NotFound("Document is disabled.")
# 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()
if args["segments"] is not None:
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
else:
return {"error": "Segments is required"}, 400
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
@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(
"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>"
)
|