import json import pickle from json import JSONDecodeError from sqlalchemy import func from sqlalchemy.dialects.postgresql import UUID, JSONB from extensions.ext_database import db from models.account import Account from models.model import App, UploadFile class Dataset(db.Model): __tablename__ = 'datasets' __table_args__ = ( db.PrimaryKeyConstraint('id', name='dataset_pkey'), db.Index('dataset_tenant_idx', 'tenant_id'), db.Index('retrieval_model_idx', "retrieval_model", postgresql_using='gin') ) INDEXING_TECHNIQUE_LIST = ['high_quality', 'economy'] id = db.Column(UUID, server_default=db.text('uuid_generate_v4()')) tenant_id = db.Column(UUID, nullable=False) name = db.Column(db.String(255), nullable=False) description = db.Column(db.Text, nullable=True) provider = db.Column(db.String(255), nullable=False, server_default=db.text("'vendor'::character varying")) permission = db.Column(db.String(255), nullable=False, server_default=db.text("'only_me'::character varying")) data_source_type = db.Column(db.String(255)) indexing_technique = db.Column(db.String(255), nullable=True) index_struct = db.Column(db.Text, nullable=True) created_by = db.Column(UUID, nullable=False) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) updated_by = db.Column(UUID, nullable=True) updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) embedding_model = db.Column(db.String(255), nullable=True) embedding_model_provider = db.Column(db.String(255), nullable=True) collection_binding_id = db.Column(UUID, nullable=True) retrieval_model = db.Column(JSONB, nullable=True) @property def dataset_keyword_table(self): dataset_keyword_table = db.session.query(DatasetKeywordTable).filter( DatasetKeywordTable.dataset_id == self.id).first() if dataset_keyword_table: return dataset_keyword_table return None @property def index_struct_dict(self): return json.loads(self.index_struct) if self.index_struct else None @property def created_by_account(self): return Account.query.get(self.created_by) @property def latest_process_rule(self): return DatasetProcessRule.query.filter(DatasetProcessRule.dataset_id == self.id) \ .order_by(DatasetProcessRule.created_at.desc()).first() @property def app_count(self): return db.session.query(func.count(AppDatasetJoin.id)).filter(AppDatasetJoin.dataset_id == self.id).scalar() @property def document_count(self): return db.session.query(func.count(Document.id)).filter(Document.dataset_id == self.id).scalar() @property def available_document_count(self): return db.session.query(func.count(Document.id)).filter( Document.dataset_id == self.id, Document.indexing_status == 'completed', Document.enabled == True, Document.archived == False ).scalar() @property def available_segment_count(self): return db.session.query(func.count(DocumentSegment.id)).filter( DocumentSegment.dataset_id == self.id, DocumentSegment.status == 'completed', DocumentSegment.enabled == True ).scalar() @property def word_count(self): return Document.query.with_entities(func.coalesce(func.sum(Document.word_count))) \ .filter(Document.dataset_id == self.id).scalar() @property def retrieval_model_dict(self): default_retrieval_model = { 'search_method': 'semantic_search', 'reranking_enable': False, 'reranking_model': { 'reranking_provider_name': '', 'reranking_model_name': '' }, 'top_k': 2, 'score_threshold_enabled': False } return self.retrieval_model if self.retrieval_model else default_retrieval_model class DatasetProcessRule(db.Model): __tablename__ = 'dataset_process_rules' __table_args__ = ( db.PrimaryKeyConstraint('id', name='dataset_process_rule_pkey'), db.Index('dataset_process_rule_dataset_id_idx', 'dataset_id'), ) id = db.Column(UUID, nullable=False, server_default=db.text('uuid_generate_v4()')) dataset_id = db.Column(UUID, nullable=False) mode = db.Column(db.String(255), nullable=False, server_default=db.text("'automatic'::character varying")) rules = db.Column(db.Text, nullable=True) created_by = db.Column(UUID, nullable=False) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) MODES = ['automatic', 'custom'] PRE_PROCESSING_RULES = ['remove_stopwords', 'remove_extra_spaces', 'remove_urls_emails'] AUTOMATIC_RULES = { 'pre_processing_rules': [ {'id': 'remove_extra_spaces', 'enabled': True}, {'id': 'remove_urls_emails', 'enabled': False} ], 'segmentation': { 'delimiter': '\n', 'max_tokens': 512 } } def to_dict(self): return { 'id': self.id, 'dataset_id': self.dataset_id, 'mode': self.mode, 'rules': self.rules_dict, 'created_by': self.created_by, 'created_at': self.created_at, } @property def rules_dict(self): try: return json.loads(self.rules) if self.rules else None except JSONDecodeError: return None class Document(db.Model): __tablename__ = 'documents' __table_args__ = ( db.PrimaryKeyConstraint('id', name='document_pkey'), db.Index('document_dataset_id_idx', 'dataset_id'), db.Index('document_is_paused_idx', 'is_paused'), ) # initial fields id = db.Column(UUID, nullable=False, server_default=db.text('uuid_generate_v4()')) tenant_id = db.Column(UUID, nullable=False) dataset_id = db.Column(UUID, nullable=False) position = db.Column(db.Integer, nullable=False) data_source_type = db.Column(db.String(255), nullable=False) data_source_info = db.Column(db.Text, nullable=True) dataset_process_rule_id = db.Column(UUID, nullable=True) batch = db.Column(db.String(255), nullable=False) name = db.Column(db.String(255), nullable=False) created_from = db.Column(db.String(255), nullable=False) created_by = db.Column(UUID, nullable=False) created_api_request_id = db.Column(UUID, nullable=True) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) # start processing processing_started_at = db.Column(db.DateTime, nullable=True) # parsing file_id = db.Column(db.Text, nullable=True) word_count = db.Column(db.Integer, nullable=True) parsing_completed_at = db.Column(db.DateTime, nullable=True) # cleaning cleaning_completed_at = db.Column(db.DateTime, nullable=True) # split splitting_completed_at = db.Column(db.DateTime, nullable=True) # indexing tokens = db.Column(db.Integer, nullable=True) indexing_latency = db.Column(db.Float, nullable=True) completed_at = db.Column(db.DateTime, nullable=True) # pause is_paused = db.Column(db.Boolean, nullable=True, server_default=db.text('false')) paused_by = db.Column(UUID, nullable=True) paused_at = db.Column(db.DateTime, nullable=True) # error error = db.Column(db.Text, nullable=True) stopped_at = db.Column(db.DateTime, nullable=True) # basic fields indexing_status = db.Column(db.String( 255), nullable=False, server_default=db.text("'waiting'::character varying")) enabled = db.Column(db.Boolean, nullable=False, server_default=db.text('true')) disabled_at = db.Column(db.DateTime, nullable=True) disabled_by = db.Column(UUID, nullable=True) archived = db.Column(db.Boolean, nullable=False, server_default=db.text('false')) archived_reason = db.Column(db.String(255), nullable=True) archived_by = db.Column(UUID, nullable=True) archived_at = db.Column(db.DateTime, nullable=True) updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) doc_type = db.Column(db.String(40), nullable=True) doc_metadata = db.Column(db.JSON, nullable=True) doc_form = db.Column(db.String( 255), nullable=False, server_default=db.text("'text_model'::character varying")) doc_language = db.Column(db.String(255), nullable=True) DATA_SOURCES = ['upload_file', 'notion_import'] @property def display_status(self): status = None if self.indexing_status == 'waiting': status = 'queuing' elif self.indexing_status not in ['completed', 'error', 'waiting'] and self.is_paused: status = 'paused' elif self.indexing_status in ['parsing', 'cleaning', 'splitting', 'indexing']: status = 'indexing' elif self.indexing_status == 'error': status = 'error' elif self.indexing_status == 'completed' and not self.archived and self.enabled: status = 'available' elif self.indexing_status == 'completed' and not self.archived and not self.enabled: status = 'disabled' elif self.indexing_status == 'completed' and self.archived: status = 'archived' return status @property def data_source_info_dict(self): if self.data_source_info: try: data_source_info_dict = json.loads(self.data_source_info) except JSONDecodeError: data_source_info_dict = {} return data_source_info_dict return None @property def data_source_detail_dict(self): if self.data_source_info: if self.data_source_type == 'upload_file': data_source_info_dict = json.loads(self.data_source_info) file_detail = db.session.query(UploadFile). \ filter(UploadFile.id == data_source_info_dict['upload_file_id']). \ one_or_none() if file_detail: return { 'upload_file': { 'id': file_detail.id, 'name': file_detail.name, 'size': file_detail.size, 'extension': file_detail.extension, 'mime_type': file_detail.mime_type, 'created_by': file_detail.created_by, 'created_at': file_detail.created_at.timestamp() } } elif self.data_source_type == 'notion_import': return json.loads(self.data_source_info) return {} @property def average_segment_length(self): if self.word_count and self.word_count != 0 and self.segment_count and self.segment_count != 0: return self.word_count // self.segment_count return 0 @property def dataset_process_rule(self): if self.dataset_process_rule_id: return DatasetProcessRule.query.get(self.dataset_process_rule_id) return None @property def dataset(self): return db.session.query(Dataset).filter(Dataset.id == self.dataset_id).one_or_none() @property def segment_count(self): return DocumentSegment.query.filter(DocumentSegment.document_id == self.id).count() @property def hit_count(self): return DocumentSegment.query.with_entities(func.coalesce(func.sum(DocumentSegment.hit_count))) \ .filter(DocumentSegment.document_id == self.id).scalar() class DocumentSegment(db.Model): __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'), ) # initial fields id = db.Column(UUID, nullable=False, server_default=db.text('uuid_generate_v4()')) tenant_id = db.Column(UUID, nullable=False) dataset_id = db.Column(UUID, nullable=False) document_id = db.Column(UUID, 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(UUID, nullable=True) status = db.Column(db.String(255), nullable=False, server_default=db.text("'waiting'::character varying")) created_by = db.Column(UUID, nullable=False) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) updated_by = db.Column(UUID, 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() 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(UUID, primary_key=True, nullable=False, server_default=db.text('uuid_generate_v4()')) app_id = db.Column(UUID, nullable=False) dataset_id = db.Column(UUID, nullable=False) created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.current_timestamp()) @property def app(self): return App.query.get(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(UUID, primary_key=True, nullable=False, server_default=db.text('uuid_generate_v4()')) dataset_id = db.Column(UUID, nullable=False) content = db.Column(db.Text, nullable=False) source = db.Column(db.String(255), nullable=False) source_app_id = db.Column(UUID, nullable=True) created_by_role = db.Column(db.String, nullable=False) created_by = db.Column(UUID, 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(UUID, primary_key=True, server_default=db.text('uuid_generate_v4()')) dataset_id = db.Column(UUID, nullable=False, unique=True) keyword_table = db.Column(db.Text, nullable=False) @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 return json.loads(self.keyword_table, cls=SetDecoder) if self.keyword_table else None class Embedding(db.Model): __tablename__ = 'embeddings' __table_args__ = ( db.PrimaryKeyConstraint('id', name='embedding_pkey'), db.UniqueConstraint('model_name', 'hash', name='embedding_hash_idx') ) id = db.Column(UUID, 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)')) 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(UUID, 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)'))