mirror of
https://gitee.com/dify_ai/dify.git
synced 2024-12-06 05:08:14 +08:00
392 lines
15 KiB
Python
392 lines
15 KiB
Python
import json
|
|
|
|
import services.dataset_service
|
|
from controllers.service_api import api
|
|
from controllers.service_api.app.error import ProviderNotInitializeError
|
|
from controllers.service_api.dataset.error import (ArchivedDocumentImmutableError, DocumentIndexingError,
|
|
NoFileUploadedError, TooManyFilesError)
|
|
from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
|
|
from core.errors.error import ProviderTokenNotInitError
|
|
from extensions.ext_database import db
|
|
from fields.document_fields import document_fields, document_status_fields
|
|
from flask import request
|
|
from flask_login import current_user
|
|
from flask_restful import marshal, reqparse
|
|
from libs.login import current_user
|
|
from models.dataset import Dataset, Document, DocumentSegment
|
|
from services.dataset_service import DocumentService
|
|
from services.file_service import FileService
|
|
from sqlalchemy import desc
|
|
from werkzeug.exceptions import NotFound
|
|
|
|
|
|
class DocumentAddByTextApi(DatasetApiResource):
|
|
"""Resource for documents."""
|
|
|
|
@cloud_edition_billing_resource_check('vector_space', 'dataset')
|
|
def post(self, tenant_id, dataset_id):
|
|
"""Create document by text."""
|
|
parser = reqparse.RequestParser()
|
|
parser.add_argument('name', type=str, required=True, nullable=False, location='json')
|
|
parser.add_argument('text', type=str, required=True, nullable=False, location='json')
|
|
parser.add_argument('process_rule', type=dict, required=False, nullable=True, location='json')
|
|
parser.add_argument('original_document_id', type=str, required=False, location='json')
|
|
parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
|
|
parser.add_argument('doc_language', type=str, default='English', required=False, nullable=False,
|
|
location='json')
|
|
parser.add_argument('indexing_technique', type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False,
|
|
location='json')
|
|
parser.add_argument('retrieval_model', type=dict, required=False, nullable=False,
|
|
location='json')
|
|
args = parser.parse_args()
|
|
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 ValueError('Dataset is not exist.')
|
|
|
|
if not dataset.indexing_technique and not args['indexing_technique']:
|
|
raise ValueError('indexing_technique is required.')
|
|
|
|
upload_file = FileService.upload_text(args.get('text'), args.get('name'))
|
|
data_source = {
|
|
'type': 'upload_file',
|
|
'info_list': {
|
|
'data_source_type': 'upload_file',
|
|
'file_info_list': {
|
|
'file_ids': [upload_file.id]
|
|
}
|
|
}
|
|
}
|
|
args['data_source'] = data_source
|
|
# validate args
|
|
DocumentService.document_create_args_validate(args)
|
|
|
|
try:
|
|
documents, batch = DocumentService.save_document_with_dataset_id(
|
|
dataset=dataset,
|
|
document_data=args,
|
|
account=current_user,
|
|
dataset_process_rule=dataset.latest_process_rule if 'process_rule' not in args else None,
|
|
created_from='api'
|
|
)
|
|
except ProviderTokenNotInitError as ex:
|
|
raise ProviderNotInitializeError(ex.description)
|
|
document = documents[0]
|
|
|
|
documents_and_batch_fields = {
|
|
'document': marshal(document, document_fields),
|
|
'batch': batch
|
|
}
|
|
return documents_and_batch_fields, 200
|
|
|
|
|
|
class DocumentUpdateByTextApi(DatasetApiResource):
|
|
"""Resource for update documents."""
|
|
|
|
@cloud_edition_billing_resource_check('vector_space', 'dataset')
|
|
def post(self, tenant_id, dataset_id, document_id):
|
|
"""Update document by text."""
|
|
parser = reqparse.RequestParser()
|
|
parser.add_argument('name', type=str, required=False, nullable=True, location='json')
|
|
parser.add_argument('text', type=str, required=False, nullable=True, location='json')
|
|
parser.add_argument('process_rule', type=dict, required=False, nullable=True, location='json')
|
|
parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
|
|
parser.add_argument('doc_language', type=str, default='English', required=False, nullable=False,
|
|
location='json')
|
|
parser.add_argument('retrieval_model', type=dict, required=False, nullable=False,
|
|
location='json')
|
|
args = parser.parse_args()
|
|
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 ValueError('Dataset is not exist.')
|
|
|
|
if args['text']:
|
|
upload_file = FileService.upload_text(args.get('text'), args.get('name'))
|
|
data_source = {
|
|
'type': 'upload_file',
|
|
'info_list': {
|
|
'data_source_type': 'upload_file',
|
|
'file_info_list': {
|
|
'file_ids': [upload_file.id]
|
|
}
|
|
}
|
|
}
|
|
args['data_source'] = data_source
|
|
# validate args
|
|
args['original_document_id'] = str(document_id)
|
|
DocumentService.document_create_args_validate(args)
|
|
|
|
try:
|
|
documents, batch = DocumentService.save_document_with_dataset_id(
|
|
dataset=dataset,
|
|
document_data=args,
|
|
account=current_user,
|
|
dataset_process_rule=dataset.latest_process_rule if 'process_rule' not in args else None,
|
|
created_from='api'
|
|
)
|
|
except ProviderTokenNotInitError as ex:
|
|
raise ProviderNotInitializeError(ex.description)
|
|
document = documents[0]
|
|
|
|
documents_and_batch_fields = {
|
|
'document': marshal(document, document_fields),
|
|
'batch': batch
|
|
}
|
|
return documents_and_batch_fields, 200
|
|
|
|
|
|
class DocumentAddByFileApi(DatasetApiResource):
|
|
"""Resource for documents."""
|
|
@cloud_edition_billing_resource_check('vector_space', 'dataset')
|
|
def post(self, tenant_id, dataset_id):
|
|
"""Create document by upload file."""
|
|
args = {}
|
|
if 'data' in request.form:
|
|
args = json.loads(request.form['data'])
|
|
if 'doc_form' not in args:
|
|
args['doc_form'] = 'text_model'
|
|
if 'doc_language' not in args:
|
|
args['doc_language'] = 'English'
|
|
# get dataset info
|
|
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 ValueError('Dataset is not exist.')
|
|
if not dataset.indexing_technique and not args['indexing_technique']:
|
|
raise ValueError('indexing_technique is required.')
|
|
|
|
# save file info
|
|
file = request.files['file']
|
|
# check file
|
|
if 'file' not in request.files:
|
|
raise NoFileUploadedError()
|
|
|
|
if len(request.files) > 1:
|
|
raise TooManyFilesError()
|
|
|
|
upload_file = FileService.upload_file(file, current_user)
|
|
data_source = {
|
|
'type': 'upload_file',
|
|
'info_list': {
|
|
'file_info_list': {
|
|
'file_ids': [upload_file.id]
|
|
}
|
|
}
|
|
}
|
|
args['data_source'] = data_source
|
|
# validate args
|
|
DocumentService.document_create_args_validate(args)
|
|
|
|
try:
|
|
documents, batch = DocumentService.save_document_with_dataset_id(
|
|
dataset=dataset,
|
|
document_data=args,
|
|
account=dataset.created_by_account,
|
|
dataset_process_rule=dataset.latest_process_rule if 'process_rule' not in args else None,
|
|
created_from='api'
|
|
)
|
|
except ProviderTokenNotInitError as ex:
|
|
raise ProviderNotInitializeError(ex.description)
|
|
document = documents[0]
|
|
documents_and_batch_fields = {
|
|
'document': marshal(document, document_fields),
|
|
'batch': batch
|
|
}
|
|
return documents_and_batch_fields, 200
|
|
|
|
|
|
class DocumentUpdateByFileApi(DatasetApiResource):
|
|
"""Resource for update documents."""
|
|
|
|
@cloud_edition_billing_resource_check('vector_space', 'dataset')
|
|
def post(self, tenant_id, dataset_id, document_id):
|
|
"""Update document by upload file."""
|
|
args = {}
|
|
if 'data' in request.form:
|
|
args = json.loads(request.form['data'])
|
|
if 'doc_form' not in args:
|
|
args['doc_form'] = 'text_model'
|
|
if 'doc_language' not in args:
|
|
args['doc_language'] = 'English'
|
|
|
|
# get dataset info
|
|
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 ValueError('Dataset is not exist.')
|
|
if 'file' in request.files:
|
|
# save file info
|
|
file = request.files['file']
|
|
|
|
|
|
if len(request.files) > 1:
|
|
raise TooManyFilesError()
|
|
|
|
upload_file = FileService.upload_file(file, current_user)
|
|
data_source = {
|
|
'type': 'upload_file',
|
|
'info_list': {
|
|
'file_info_list': {
|
|
'file_ids': [upload_file.id]
|
|
}
|
|
}
|
|
}
|
|
args['data_source'] = data_source
|
|
# validate args
|
|
args['original_document_id'] = str(document_id)
|
|
DocumentService.document_create_args_validate(args)
|
|
|
|
try:
|
|
documents, batch = DocumentService.save_document_with_dataset_id(
|
|
dataset=dataset,
|
|
document_data=args,
|
|
account=dataset.created_by_account,
|
|
dataset_process_rule=dataset.latest_process_rule if 'process_rule' not in args else None,
|
|
created_from='api'
|
|
)
|
|
except ProviderTokenNotInitError as ex:
|
|
raise ProviderNotInitializeError(ex.description)
|
|
document = documents[0]
|
|
documents_and_batch_fields = {
|
|
'document': marshal(document, document_fields),
|
|
'batch': batch
|
|
}
|
|
return documents_and_batch_fields, 200
|
|
|
|
|
|
class DocumentDeleteApi(DatasetApiResource):
|
|
def delete(self, tenant_id, dataset_id, document_id):
|
|
"""Delete document."""
|
|
document_id = str(document_id)
|
|
dataset_id = str(dataset_id)
|
|
tenant_id = str(tenant_id)
|
|
|
|
# get dataset info
|
|
dataset = db.session.query(Dataset).filter(
|
|
Dataset.tenant_id == tenant_id,
|
|
Dataset.id == dataset_id
|
|
).first()
|
|
|
|
if not dataset:
|
|
raise ValueError('Dataset is not exist.')
|
|
|
|
document = DocumentService.get_document(dataset.id, document_id)
|
|
|
|
# 404 if document not found
|
|
if document is None:
|
|
raise NotFound("Document Not Exists.")
|
|
|
|
# 403 if document is archived
|
|
if DocumentService.check_archived(document):
|
|
raise ArchivedDocumentImmutableError()
|
|
|
|
try:
|
|
# delete document
|
|
DocumentService.delete_document(document)
|
|
except services.errors.document.DocumentIndexingError:
|
|
raise DocumentIndexingError('Cannot delete document during indexing.')
|
|
|
|
return {'result': 'success'}, 200
|
|
|
|
|
|
class DocumentListApi(DatasetApiResource):
|
|
def get(self, tenant_id, dataset_id):
|
|
dataset_id = str(dataset_id)
|
|
tenant_id = str(tenant_id)
|
|
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)
|
|
dataset = db.session.query(Dataset).filter(
|
|
Dataset.tenant_id == tenant_id,
|
|
Dataset.id == dataset_id
|
|
).first()
|
|
if not dataset:
|
|
raise NotFound('Dataset not found.')
|
|
|
|
query = Document.query.filter_by(
|
|
dataset_id=str(dataset_id), tenant_id=tenant_id)
|
|
|
|
if search:
|
|
search = f'%{search}%'
|
|
query = query.filter(Document.name.like(search))
|
|
|
|
query = query.order_by(desc(Document.created_at))
|
|
|
|
paginated_documents = query.paginate(
|
|
page=page, per_page=limit, max_per_page=100, error_out=False)
|
|
documents = paginated_documents.items
|
|
|
|
response = {
|
|
'data': marshal(documents, document_fields),
|
|
'has_more': len(documents) == limit,
|
|
'limit': limit,
|
|
'total': paginated_documents.total,
|
|
'page': page
|
|
}
|
|
|
|
return response
|
|
|
|
|
|
class DocumentIndexingStatusApi(DatasetApiResource):
|
|
def get(self, tenant_id, dataset_id, batch):
|
|
dataset_id = str(dataset_id)
|
|
batch = str(batch)
|
|
tenant_id = str(tenant_id)
|
|
# get dataset
|
|
dataset = db.session.query(Dataset).filter(
|
|
Dataset.tenant_id == tenant_id,
|
|
Dataset.id == dataset_id
|
|
).first()
|
|
if not dataset:
|
|
raise NotFound('Dataset not found.')
|
|
# get documents
|
|
documents = DocumentService.get_batch_documents(dataset_id, batch)
|
|
if not documents:
|
|
raise NotFound('Documents not found.')
|
|
documents_status = []
|
|
for document in documents:
|
|
completed_segments = DocumentSegment.query.filter(DocumentSegment.completed_at.isnot(None),
|
|
DocumentSegment.document_id == str(document.id),
|
|
DocumentSegment.status != 're_segment').count()
|
|
total_segments = DocumentSegment.query.filter(DocumentSegment.document_id == str(document.id),
|
|
DocumentSegment.status != 're_segment').count()
|
|
document.completed_segments = completed_segments
|
|
document.total_segments = total_segments
|
|
if document.is_paused:
|
|
document.indexing_status = 'paused'
|
|
documents_status.append(marshal(document, document_status_fields))
|
|
data = {
|
|
'data': documents_status
|
|
}
|
|
return data
|
|
|
|
|
|
api.add_resource(DocumentAddByTextApi, '/datasets/<uuid:dataset_id>/document/create_by_text')
|
|
api.add_resource(DocumentAddByFileApi, '/datasets/<uuid:dataset_id>/document/create_by_file')
|
|
api.add_resource(DocumentUpdateByTextApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update_by_text')
|
|
api.add_resource(DocumentUpdateByFileApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update_by_file')
|
|
api.add_resource(DocumentDeleteApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>')
|
|
api.add_resource(DocumentListApi, '/datasets/<uuid:dataset_id>/documents')
|
|
api.add_resource(DocumentIndexingStatusApi, '/datasets/<uuid:dataset_id>/documents/<string:batch>/indexing-status')
|