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683 lines
28 KiB
Python
683 lines
28 KiB
Python
import base64
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import hashlib
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import hmac
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import json
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import logging
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import os
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import pickle
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import re
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import time
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from json import JSONDecodeError
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from sqlalchemy import func
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from sqlalchemy.dialects.postgresql import JSONB
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from configs import dify_config
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from core.rag.retrieval.retrival_methods import RetrievalMethod
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from extensions.ext_database import db
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from extensions.ext_storage import storage
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from models import StringUUID
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from models.account import Account
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from models.model import App, Tag, TagBinding, UploadFile
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class Dataset(db.Model):
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__tablename__ = 'datasets'
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__table_args__ = (
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db.PrimaryKeyConstraint('id', name='dataset_pkey'),
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db.Index('dataset_tenant_idx', 'tenant_id'),
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db.Index('retrieval_model_idx', "retrieval_model", postgresql_using='gin')
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)
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INDEXING_TECHNIQUE_LIST = ['high_quality', 'economy', None]
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id = db.Column(StringUUID, server_default=db.text('uuid_generate_v4()'))
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tenant_id = db.Column(StringUUID, nullable=False)
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name = db.Column(db.String(255), nullable=False)
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description = db.Column(db.Text, nullable=True)
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provider = db.Column(db.String(255), nullable=False,
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server_default=db.text("'vendor'::character varying"))
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permission = db.Column(db.String(255), nullable=False,
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server_default=db.text("'only_me'::character varying"))
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data_source_type = db.Column(db.String(255))
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indexing_technique = db.Column(db.String(255), nullable=True)
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index_struct = db.Column(db.Text, nullable=True)
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created_by = db.Column(StringUUID, nullable=False)
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created_at = db.Column(db.DateTime, nullable=False,
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server_default=db.text('CURRENT_TIMESTAMP(0)'))
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updated_by = db.Column(StringUUID, nullable=True)
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updated_at = db.Column(db.DateTime, nullable=False,
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server_default=db.text('CURRENT_TIMESTAMP(0)'))
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embedding_model = db.Column(db.String(255), nullable=True)
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embedding_model_provider = db.Column(db.String(255), nullable=True)
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collection_binding_id = db.Column(StringUUID, nullable=True)
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retrieval_model = db.Column(JSONB, nullable=True)
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@property
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def dataset_keyword_table(self):
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dataset_keyword_table = db.session.query(DatasetKeywordTable).filter(
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DatasetKeywordTable.dataset_id == self.id).first()
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if dataset_keyword_table:
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return dataset_keyword_table
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return None
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@property
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def index_struct_dict(self):
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return json.loads(self.index_struct) if self.index_struct else None
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@property
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def created_by_account(self):
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return db.session.get(Account, self.created_by)
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@property
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def latest_process_rule(self):
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return DatasetProcessRule.query.filter(DatasetProcessRule.dataset_id == self.id) \
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.order_by(DatasetProcessRule.created_at.desc()).first()
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@property
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def app_count(self):
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return db.session.query(func.count(AppDatasetJoin.id)).filter(AppDatasetJoin.dataset_id == self.id,
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App.id == AppDatasetJoin.app_id).scalar()
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@property
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def document_count(self):
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return db.session.query(func.count(Document.id)).filter(Document.dataset_id == self.id).scalar()
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@property
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def available_document_count(self):
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return db.session.query(func.count(Document.id)).filter(
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Document.dataset_id == self.id,
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Document.indexing_status == 'completed',
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Document.enabled == True,
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Document.archived == False
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).scalar()
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@property
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def available_segment_count(self):
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return db.session.query(func.count(DocumentSegment.id)).filter(
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DocumentSegment.dataset_id == self.id,
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DocumentSegment.status == 'completed',
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DocumentSegment.enabled == True
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).scalar()
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@property
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def word_count(self):
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return Document.query.with_entities(func.coalesce(func.sum(Document.word_count))) \
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.filter(Document.dataset_id == self.id).scalar()
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@property
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def doc_form(self):
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document = db.session.query(Document).filter(
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Document.dataset_id == self.id).first()
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if document:
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return document.doc_form
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return None
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@property
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def retrieval_model_dict(self):
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default_retrieval_model = {
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'search_method': RetrievalMethod.SEMANTIC_SEARCH.value,
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'reranking_enable': False,
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'reranking_model': {
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'reranking_provider_name': '',
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'reranking_model_name': ''
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},
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'top_k': 2,
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'score_threshold_enabled': False
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}
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return self.retrieval_model if self.retrieval_model else default_retrieval_model
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@property
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def tags(self):
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tags = db.session.query(Tag).join(
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TagBinding,
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Tag.id == TagBinding.tag_id
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).filter(
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TagBinding.target_id == self.id,
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TagBinding.tenant_id == self.tenant_id,
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Tag.tenant_id == self.tenant_id,
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Tag.type == 'knowledge'
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).all()
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return tags if tags else []
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@staticmethod
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def gen_collection_name_by_id(dataset_id: str) -> str:
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normalized_dataset_id = dataset_id.replace("-", "_")
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return f'Vector_index_{normalized_dataset_id}_Node'
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class DatasetProcessRule(db.Model):
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__tablename__ = 'dataset_process_rules'
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__table_args__ = (
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db.PrimaryKeyConstraint('id', name='dataset_process_rule_pkey'),
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db.Index('dataset_process_rule_dataset_id_idx', 'dataset_id'),
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)
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id = db.Column(StringUUID, nullable=False,
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server_default=db.text('uuid_generate_v4()'))
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dataset_id = db.Column(StringUUID, nullable=False)
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mode = db.Column(db.String(255), nullable=False,
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server_default=db.text("'automatic'::character varying"))
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rules = db.Column(db.Text, nullable=True)
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created_by = db.Column(StringUUID, nullable=False)
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created_at = db.Column(db.DateTime, nullable=False,
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server_default=db.text('CURRENT_TIMESTAMP(0)'))
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MODES = ['automatic', 'custom']
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PRE_PROCESSING_RULES = ['remove_stopwords', 'remove_extra_spaces', 'remove_urls_emails']
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AUTOMATIC_RULES = {
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'pre_processing_rules': [
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{'id': 'remove_extra_spaces', 'enabled': True},
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{'id': 'remove_urls_emails', 'enabled': False}
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],
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'segmentation': {
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'delimiter': '\n',
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'max_tokens': 500,
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'chunk_overlap': 50
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}
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}
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def to_dict(self):
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return {
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'id': self.id,
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'dataset_id': self.dataset_id,
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'mode': self.mode,
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'rules': self.rules_dict,
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'created_by': self.created_by,
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'created_at': self.created_at,
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}
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@property
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def rules_dict(self):
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try:
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return json.loads(self.rules) if self.rules else None
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except JSONDecodeError:
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return None
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class Document(db.Model):
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__tablename__ = 'documents'
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__table_args__ = (
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db.PrimaryKeyConstraint('id', name='document_pkey'),
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db.Index('document_dataset_id_idx', 'dataset_id'),
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db.Index('document_is_paused_idx', 'is_paused'),
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db.Index('document_tenant_idx', 'tenant_id'),
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)
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# initial fields
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id = db.Column(StringUUID, nullable=False,
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server_default=db.text('uuid_generate_v4()'))
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tenant_id = db.Column(StringUUID, nullable=False)
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dataset_id = db.Column(StringUUID, nullable=False)
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position = db.Column(db.Integer, nullable=False)
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data_source_type = db.Column(db.String(255), nullable=False)
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data_source_info = db.Column(db.Text, nullable=True)
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dataset_process_rule_id = db.Column(StringUUID, nullable=True)
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batch = db.Column(db.String(255), nullable=False)
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name = db.Column(db.String(255), nullable=False)
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created_from = db.Column(db.String(255), nullable=False)
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created_by = db.Column(StringUUID, nullable=False)
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created_api_request_id = db.Column(StringUUID, nullable=True)
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created_at = db.Column(db.DateTime, nullable=False,
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server_default=db.text('CURRENT_TIMESTAMP(0)'))
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# start processing
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processing_started_at = db.Column(db.DateTime, nullable=True)
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# parsing
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file_id = db.Column(db.Text, nullable=True)
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word_count = db.Column(db.Integer, nullable=True)
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parsing_completed_at = db.Column(db.DateTime, nullable=True)
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# cleaning
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cleaning_completed_at = db.Column(db.DateTime, nullable=True)
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# split
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splitting_completed_at = db.Column(db.DateTime, nullable=True)
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# indexing
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tokens = db.Column(db.Integer, nullable=True)
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indexing_latency = db.Column(db.Float, nullable=True)
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completed_at = db.Column(db.DateTime, nullable=True)
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# pause
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is_paused = db.Column(db.Boolean, nullable=True, server_default=db.text('false'))
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paused_by = db.Column(StringUUID, nullable=True)
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paused_at = db.Column(db.DateTime, nullable=True)
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# error
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error = db.Column(db.Text, nullable=True)
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stopped_at = db.Column(db.DateTime, nullable=True)
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# basic fields
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indexing_status = db.Column(db.String(
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255), nullable=False, server_default=db.text("'waiting'::character varying"))
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enabled = db.Column(db.Boolean, nullable=False,
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server_default=db.text('true'))
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disabled_at = db.Column(db.DateTime, nullable=True)
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disabled_by = db.Column(StringUUID, nullable=True)
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archived = db.Column(db.Boolean, nullable=False,
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server_default=db.text('false'))
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archived_reason = db.Column(db.String(255), nullable=True)
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archived_by = db.Column(StringUUID, nullable=True)
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archived_at = db.Column(db.DateTime, nullable=True)
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updated_at = db.Column(db.DateTime, nullable=False,
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server_default=db.text('CURRENT_TIMESTAMP(0)'))
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doc_type = db.Column(db.String(40), nullable=True)
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doc_metadata = db.Column(db.JSON, nullable=True)
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doc_form = db.Column(db.String(
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255), nullable=False, server_default=db.text("'text_model'::character varying"))
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doc_language = db.Column(db.String(255), nullable=True)
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DATA_SOURCES = ['upload_file', 'notion_import', 'website_crawl']
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@property
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def display_status(self):
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status = None
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if self.indexing_status == 'waiting':
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status = 'queuing'
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elif self.indexing_status not in ['completed', 'error', 'waiting'] and self.is_paused:
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status = 'paused'
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elif self.indexing_status in ['parsing', 'cleaning', 'splitting', 'indexing']:
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status = 'indexing'
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elif self.indexing_status == 'error':
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status = 'error'
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elif self.indexing_status == 'completed' and not self.archived and self.enabled:
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status = 'available'
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elif self.indexing_status == 'completed' and not self.archived and not self.enabled:
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status = 'disabled'
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elif self.indexing_status == 'completed' and self.archived:
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status = 'archived'
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return status
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@property
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def data_source_info_dict(self):
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if self.data_source_info:
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try:
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data_source_info_dict = json.loads(self.data_source_info)
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except JSONDecodeError:
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data_source_info_dict = {}
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return data_source_info_dict
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return None
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@property
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def data_source_detail_dict(self):
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if self.data_source_info:
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if self.data_source_type == 'upload_file':
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data_source_info_dict = json.loads(self.data_source_info)
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file_detail = db.session.query(UploadFile). \
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filter(UploadFile.id == data_source_info_dict['upload_file_id']). \
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one_or_none()
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if file_detail:
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return {
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'upload_file': {
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'id': file_detail.id,
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'name': file_detail.name,
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'size': file_detail.size,
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'extension': file_detail.extension,
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'mime_type': file_detail.mime_type,
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'created_by': file_detail.created_by,
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'created_at': file_detail.created_at.timestamp()
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}
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}
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elif self.data_source_type == 'notion_import' or self.data_source_type == 'website_crawl':
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return json.loads(self.data_source_info)
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return {}
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@property
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def average_segment_length(self):
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if self.word_count and self.word_count != 0 and self.segment_count and self.segment_count != 0:
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return self.word_count // self.segment_count
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return 0
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@property
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def dataset_process_rule(self):
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if self.dataset_process_rule_id:
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return db.session.get(DatasetProcessRule, self.dataset_process_rule_id)
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return None
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@property
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def dataset(self):
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return db.session.query(Dataset).filter(Dataset.id == self.dataset_id).one_or_none()
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@property
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def segment_count(self):
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return DocumentSegment.query.filter(DocumentSegment.document_id == self.id).count()
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@property
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def hit_count(self):
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return DocumentSegment.query.with_entities(func.coalesce(func.sum(DocumentSegment.hit_count))) \
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.filter(DocumentSegment.document_id == self.id).scalar()
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def to_dict(self):
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return {
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'id': self.id,
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'tenant_id': self.tenant_id,
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'dataset_id': self.dataset_id,
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'position': self.position,
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'data_source_type': self.data_source_type,
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'data_source_info': self.data_source_info,
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'dataset_process_rule_id': self.dataset_process_rule_id,
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'batch': self.batch,
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'name': self.name,
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'created_from': self.created_from,
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'created_by': self.created_by,
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'created_api_request_id': self.created_api_request_id,
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'created_at': self.created_at,
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'processing_started_at': self.processing_started_at,
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'file_id': self.file_id,
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'word_count': self.word_count,
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'parsing_completed_at': self.parsing_completed_at,
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'cleaning_completed_at': self.cleaning_completed_at,
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'splitting_completed_at': self.splitting_completed_at,
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'tokens': self.tokens,
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'indexing_latency': self.indexing_latency,
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'completed_at': self.completed_at,
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'is_paused': self.is_paused,
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'paused_by': self.paused_by,
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'paused_at': self.paused_at,
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'error': self.error,
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'stopped_at': self.stopped_at,
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'indexing_status': self.indexing_status,
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'enabled': self.enabled,
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'disabled_at': self.disabled_at,
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'disabled_by': self.disabled_by,
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'archived': self.archived,
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'archived_reason': self.archived_reason,
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'archived_by': self.archived_by,
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'archived_at': self.archived_at,
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'updated_at': self.updated_at,
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'doc_type': self.doc_type,
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'doc_metadata': self.doc_metadata,
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'doc_form': self.doc_form,
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'doc_language': self.doc_language,
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'display_status': self.display_status,
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'data_source_info_dict': self.data_source_info_dict,
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'average_segment_length': self.average_segment_length,
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'dataset_process_rule': self.dataset_process_rule.to_dict() if self.dataset_process_rule else None,
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'dataset': self.dataset.to_dict() if self.dataset else None,
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'segment_count': self.segment_count,
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'hit_count': self.hit_count
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}
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@classmethod
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def from_dict(cls, data: dict):
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return cls(
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id=data.get('id'),
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tenant_id=data.get('tenant_id'),
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dataset_id=data.get('dataset_id'),
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position=data.get('position'),
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data_source_type=data.get('data_source_type'),
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data_source_info=data.get('data_source_info'),
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dataset_process_rule_id=data.get('dataset_process_rule_id'),
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batch=data.get('batch'),
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name=data.get('name'),
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created_from=data.get('created_from'),
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created_by=data.get('created_by'),
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created_api_request_id=data.get('created_api_request_id'),
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created_at=data.get('created_at'),
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processing_started_at=data.get('processing_started_at'),
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file_id=data.get('file_id'),
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word_count=data.get('word_count'),
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parsing_completed_at=data.get('parsing_completed_at'),
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cleaning_completed_at=data.get('cleaning_completed_at'),
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splitting_completed_at=data.get('splitting_completed_at'),
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tokens=data.get('tokens'),
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indexing_latency=data.get('indexing_latency'),
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completed_at=data.get('completed_at'),
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is_paused=data.get('is_paused'),
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paused_by=data.get('paused_by'),
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paused_at=data.get('paused_at'),
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error=data.get('error'),
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stopped_at=data.get('stopped_at'),
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indexing_status=data.get('indexing_status'),
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enabled=data.get('enabled'),
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disabled_at=data.get('disabled_at'),
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disabled_by=data.get('disabled_by'),
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archived=data.get('archived'),
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archived_reason=data.get('archived_reason'),
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archived_by=data.get('archived_by'),
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archived_at=data.get('archived_at'),
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updated_at=data.get('updated_at'),
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doc_type=data.get('doc_type'),
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doc_metadata=data.get('doc_metadata'),
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doc_form=data.get('doc_form'),
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doc_language=data.get('doc_language')
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)
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class DocumentSegment(db.Model):
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__tablename__ = 'document_segments'
|
|
__table_args__ = (
|
|
db.PrimaryKeyConstraint('id', name='document_segment_pkey'),
|
|
db.Index('document_segment_dataset_id_idx', 'dataset_id'),
|
|
db.Index('document_segment_document_id_idx', 'document_id'),
|
|
db.Index('document_segment_tenant_dataset_idx', 'dataset_id', 'tenant_id'),
|
|
db.Index('document_segment_tenant_document_idx', 'document_id', 'tenant_id'),
|
|
db.Index('document_segment_dataset_node_idx', 'dataset_id', 'index_node_id'),
|
|
db.Index('document_segment_tenant_idx', 'tenant_id'),
|
|
)
|
|
|
|
# initial fields
|
|
id = db.Column(StringUUID, nullable=False,
|
|
server_default=db.text('uuid_generate_v4()'))
|
|
tenant_id = db.Column(StringUUID, nullable=False)
|
|
dataset_id = db.Column(StringUUID, nullable=False)
|
|
document_id = db.Column(StringUUID, nullable=False)
|
|
position = db.Column(db.Integer, nullable=False)
|
|
content = db.Column(db.Text, nullable=False)
|
|
answer = db.Column(db.Text, nullable=True)
|
|
word_count = db.Column(db.Integer, nullable=False)
|
|
tokens = db.Column(db.Integer, nullable=False)
|
|
|
|
# indexing fields
|
|
keywords = db.Column(db.JSON, nullable=True)
|
|
index_node_id = db.Column(db.String(255), nullable=True)
|
|
index_node_hash = db.Column(db.String(255), nullable=True)
|
|
|
|
# basic fields
|
|
hit_count = db.Column(db.Integer, nullable=False, default=0)
|
|
enabled = db.Column(db.Boolean, nullable=False,
|
|
server_default=db.text('true'))
|
|
disabled_at = db.Column(db.DateTime, nullable=True)
|
|
disabled_by = db.Column(StringUUID, nullable=True)
|
|
status = db.Column(db.String(255), nullable=False,
|
|
server_default=db.text("'waiting'::character varying"))
|
|
created_by = db.Column(StringUUID, nullable=False)
|
|
created_at = db.Column(db.DateTime, nullable=False,
|
|
server_default=db.text('CURRENT_TIMESTAMP(0)'))
|
|
updated_by = db.Column(StringUUID, nullable=True)
|
|
updated_at = db.Column(db.DateTime, nullable=False,
|
|
server_default=db.text('CURRENT_TIMESTAMP(0)'))
|
|
indexing_at = db.Column(db.DateTime, nullable=True)
|
|
completed_at = db.Column(db.DateTime, nullable=True)
|
|
error = db.Column(db.Text, nullable=True)
|
|
stopped_at = db.Column(db.DateTime, nullable=True)
|
|
|
|
@property
|
|
def dataset(self):
|
|
return db.session.query(Dataset).filter(Dataset.id == self.dataset_id).first()
|
|
|
|
@property
|
|
def document(self):
|
|
return db.session.query(Document).filter(Document.id == self.document_id).first()
|
|
|
|
@property
|
|
def previous_segment(self):
|
|
return db.session.query(DocumentSegment).filter(
|
|
DocumentSegment.document_id == self.document_id,
|
|
DocumentSegment.position == self.position - 1
|
|
).first()
|
|
|
|
@property
|
|
def next_segment(self):
|
|
return db.session.query(DocumentSegment).filter(
|
|
DocumentSegment.document_id == self.document_id,
|
|
DocumentSegment.position == self.position + 1
|
|
).first()
|
|
|
|
def get_sign_content(self):
|
|
pattern = r"/files/([a-f0-9\-]+)/image-preview"
|
|
text = self.content
|
|
matches = re.finditer(pattern, text)
|
|
signed_urls = []
|
|
for match in matches:
|
|
upload_file_id = match.group(1)
|
|
nonce = os.urandom(16).hex()
|
|
timestamp = str(int(time.time()))
|
|
data_to_sign = f"image-preview|{upload_file_id}|{timestamp}|{nonce}"
|
|
secret_key = dify_config.SECRET_KEY.encode() if dify_config.SECRET_KEY else b''
|
|
sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
|
|
encoded_sign = base64.urlsafe_b64encode(sign).decode()
|
|
|
|
params = f"timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}"
|
|
signed_url = f"{match.group(0)}?{params}"
|
|
signed_urls.append((match.start(), match.end(), signed_url))
|
|
|
|
# Reconstruct the text with signed URLs
|
|
offset = 0
|
|
for start, end, signed_url in signed_urls:
|
|
text = text[:start + offset] + signed_url + text[end + offset:]
|
|
offset += len(signed_url) - (end - start)
|
|
|
|
return text
|
|
|
|
|
|
|
|
class AppDatasetJoin(db.Model):
|
|
__tablename__ = 'app_dataset_joins'
|
|
__table_args__ = (
|
|
db.PrimaryKeyConstraint('id', name='app_dataset_join_pkey'),
|
|
db.Index('app_dataset_join_app_dataset_idx', 'dataset_id', 'app_id'),
|
|
)
|
|
|
|
id = db.Column(StringUUID, primary_key=True, nullable=False, server_default=db.text('uuid_generate_v4()'))
|
|
app_id = db.Column(StringUUID, nullable=False)
|
|
dataset_id = db.Column(StringUUID, nullable=False)
|
|
created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.current_timestamp())
|
|
|
|
@property
|
|
def app(self):
|
|
return db.session.get(App, self.app_id)
|
|
|
|
|
|
class DatasetQuery(db.Model):
|
|
__tablename__ = 'dataset_queries'
|
|
__table_args__ = (
|
|
db.PrimaryKeyConstraint('id', name='dataset_query_pkey'),
|
|
db.Index('dataset_query_dataset_id_idx', 'dataset_id'),
|
|
)
|
|
|
|
id = db.Column(StringUUID, primary_key=True, nullable=False, server_default=db.text('uuid_generate_v4()'))
|
|
dataset_id = db.Column(StringUUID, nullable=False)
|
|
content = db.Column(db.Text, nullable=False)
|
|
source = db.Column(db.String(255), nullable=False)
|
|
source_app_id = db.Column(StringUUID, nullable=True)
|
|
created_by_role = db.Column(db.String, nullable=False)
|
|
created_by = db.Column(StringUUID, nullable=False)
|
|
created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.current_timestamp())
|
|
|
|
|
|
class DatasetKeywordTable(db.Model):
|
|
__tablename__ = 'dataset_keyword_tables'
|
|
__table_args__ = (
|
|
db.PrimaryKeyConstraint('id', name='dataset_keyword_table_pkey'),
|
|
db.Index('dataset_keyword_table_dataset_id_idx', 'dataset_id'),
|
|
)
|
|
|
|
id = db.Column(StringUUID, primary_key=True, server_default=db.text('uuid_generate_v4()'))
|
|
dataset_id = db.Column(StringUUID, nullable=False, unique=True)
|
|
keyword_table = db.Column(db.Text, nullable=False)
|
|
data_source_type = db.Column(db.String(255), nullable=False,
|
|
server_default=db.text("'database'::character varying"))
|
|
|
|
@property
|
|
def keyword_table_dict(self):
|
|
class SetDecoder(json.JSONDecoder):
|
|
def __init__(self, *args, **kwargs):
|
|
super().__init__(object_hook=self.object_hook, *args, **kwargs)
|
|
|
|
def object_hook(self, dct):
|
|
if isinstance(dct, dict):
|
|
for keyword, node_idxs in dct.items():
|
|
if isinstance(node_idxs, list):
|
|
dct[keyword] = set(node_idxs)
|
|
return dct
|
|
|
|
# get dataset
|
|
dataset = Dataset.query.filter_by(
|
|
id=self.dataset_id
|
|
).first()
|
|
if not dataset:
|
|
return None
|
|
if self.data_source_type == 'database':
|
|
return json.loads(self.keyword_table, cls=SetDecoder) if self.keyword_table else None
|
|
else:
|
|
file_key = 'keyword_files/' + dataset.tenant_id + '/' + self.dataset_id + '.txt'
|
|
try:
|
|
keyword_table_text = storage.load_once(file_key)
|
|
if keyword_table_text:
|
|
return json.loads(keyword_table_text.decode('utf-8'), cls=SetDecoder)
|
|
return None
|
|
except Exception as e:
|
|
logging.exception(str(e))
|
|
return None
|
|
|
|
|
|
class Embedding(db.Model):
|
|
__tablename__ = 'embeddings'
|
|
__table_args__ = (
|
|
db.PrimaryKeyConstraint('id', name='embedding_pkey'),
|
|
db.UniqueConstraint('model_name', 'hash', 'provider_name', name='embedding_hash_idx')
|
|
)
|
|
|
|
id = db.Column(StringUUID, primary_key=True, server_default=db.text('uuid_generate_v4()'))
|
|
model_name = db.Column(db.String(40), nullable=False,
|
|
server_default=db.text("'text-embedding-ada-002'::character varying"))
|
|
hash = db.Column(db.String(64), nullable=False)
|
|
embedding = db.Column(db.LargeBinary, nullable=False)
|
|
created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)'))
|
|
provider_name = db.Column(db.String(40), nullable=False,
|
|
server_default=db.text("''::character varying"))
|
|
|
|
def set_embedding(self, embedding_data: list[float]):
|
|
self.embedding = pickle.dumps(embedding_data, protocol=pickle.HIGHEST_PROTOCOL)
|
|
|
|
def get_embedding(self) -> list[float]:
|
|
return pickle.loads(self.embedding)
|
|
|
|
|
|
class DatasetCollectionBinding(db.Model):
|
|
__tablename__ = 'dataset_collection_bindings'
|
|
__table_args__ = (
|
|
db.PrimaryKeyConstraint('id', name='dataset_collection_bindings_pkey'),
|
|
db.Index('provider_model_name_idx', 'provider_name', 'model_name')
|
|
|
|
)
|
|
|
|
id = db.Column(StringUUID, primary_key=True, server_default=db.text('uuid_generate_v4()'))
|
|
provider_name = db.Column(db.String(40), nullable=False)
|
|
model_name = db.Column(db.String(40), nullable=False)
|
|
type = db.Column(db.String(40), server_default=db.text("'dataset'::character varying"), nullable=False)
|
|
collection_name = db.Column(db.String(64), nullable=False)
|
|
created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)'))
|
|
|
|
|
|
class DatasetPermission(db.Model):
|
|
__tablename__ = 'dataset_permissions'
|
|
__table_args__ = (
|
|
db.PrimaryKeyConstraint('id', name='dataset_permission_pkey'),
|
|
db.Index('idx_dataset_permissions_dataset_id', 'dataset_id'),
|
|
db.Index('idx_dataset_permissions_account_id', 'account_id'),
|
|
db.Index('idx_dataset_permissions_tenant_id', 'tenant_id')
|
|
)
|
|
|
|
id = db.Column(StringUUID, server_default=db.text('uuid_generate_v4()'), primary_key=True)
|
|
dataset_id = db.Column(StringUUID, nullable=False)
|
|
account_id = db.Column(StringUUID, nullable=False)
|
|
tenant_id = db.Column(StringUUID, nullable=False)
|
|
has_permission = db.Column(db.Boolean, nullable=False, server_default=db.text('true'))
|
|
created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)'))
|