# coding=utf-8 """ @project: maxkb @Author：虎 @file： common_serializers.py @date：2023/11/17 11:00 @desc: """ import os import re import uuid import zipfile from typing import List from django.db.models import QuerySet from drf_yasg import openapi from rest_framework import serializers from common.config.embedding_config import ModelManage from common.db.search import native_search from common.db.sql_execute import update_execute from common.exception.app_exception import AppApiException from common.mixins.api_mixin import ApiMixin from common.util.field_message import ErrMessage from common.util.file_util import get_file_content from common.util.fork import Fork from dataset.models import Paragraph, Problem, ProblemParagraphMapping, DataSet, File, Image from setting.models_provider import get_model from smartdoc.conf import PROJECT_DIR from django.utils.translation import gettext_lazy as _ def zip_dir(zip_path, output=None): output = output or os.path.basename(zip_path) + '.zip' zip = zipfile.ZipFile(output, 'w', zipfile.ZIP_DEFLATED) for root, dirs, files in os.walk(zip_path): relative_root = '' if root == zip_path else root.replace(zip_path, '') + os.sep for filename in files: zip.write(os.path.join(root, filename), relative_root + filename) zip.close() def write_image(zip_path: str, image_list: List[str]): for image in image_list: search = re.search("\(.*\)", image) if search: text = search.group() if text.startswith('(/api/file/'): r = text.replace('(/api/file/', '').replace(')', '') file = QuerySet(File).filter(id=r).first() if file is None: break zip_inner_path = os.path.join('api', 'file', r) file_path = os.path.join(zip_path, zip_inner_path) if not os.path.exists(os.path.dirname(file_path)): os.makedirs(os.path.dirname(file_path)) with open(os.path.join(zip_path, file_path), 'wb') as f: f.write(file.get_byte()) else: r = text.replace('(/api/image/', '').replace(')', '') image_model = QuerySet(Image).filter(id=r).first() if image_model is None: break zip_inner_path = os.path.join('api', 'image', r) file_path = os.path.join(zip_path, zip_inner_path) if not os.path.exists(os.path.dirname(file_path)): os.makedirs(os.path.dirname(file_path)) with open(file_path, 'wb') as f: f.write(image_model.image) def update_document_char_length(document_id: str): update_execute(get_file_content( os.path.join(PROJECT_DIR, "apps", "dataset", 'sql', 'update_document_char_length.sql')), (document_id, document_id)) def list_paragraph(paragraph_list: List[str]): if paragraph_list is None or len(paragraph_list) == 0: return [] return native_search(QuerySet(Paragraph).filter(id__in=paragraph_list), get_file_content( os.path.join(PROJECT_DIR, "apps", "dataset", 'sql', 'list_paragraph.sql'))) class MetaSerializer(serializers.Serializer): class WebMeta(serializers.Serializer): source_url = serializers.CharField(required=True, error_messages=ErrMessage.char(_('source url'))) selector = serializers.CharField(required=False, allow_null=True, allow_blank=True, error_messages=ErrMessage.char(_('selector'))) def is_valid(self, *, raise_exception=False): super().is_valid(raise_exception=True) source_url = self.data.get('source_url') response = Fork(source_url, []).fork() if response.status == 500: raise AppApiException(500, _('URL error, cannot parse [{source_url}]').format(source_url=source_url)) class BaseMeta(serializers.Serializer): def is_valid(self, *, raise_exception=False): super().is_valid(raise_exception=True) class BatchSerializer(ApiMixin, serializers.Serializer): id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True), error_messages=ErrMessage.char(_('id list'))) def is_valid(self, *, model=None, raise_exception=False): super().is_valid(raise_exception=True) if model is not None: id_list = self.data.get('id_list') model_list = QuerySet(model).filter(id__in=id_list) if len(model_list) != len(id_list): model_id_list = [str(m.id) for m in model_list] error_id_list = list(filter(lambda row_id: not model_id_list.__contains__(row_id), id_list)) raise AppApiException(500, _('The following id does not exist: {error_id_list}').format( error_id_list=error_id_list)) @staticmethod def get_request_body_api(): return openapi.Schema( type=openapi.TYPE_OBJECT, properties={ 'id_list': openapi.Schema(type=openapi.TYPE_ARRAY, items=openapi.Schema(type=openapi.TYPE_STRING), title=_('id list'), description=_('id list')) } ) class ProblemParagraphObject: def __init__(self, dataset_id: str, document_id: str, paragraph_id: str, problem_content: str): self.dataset_id = dataset_id self.document_id = document_id self.paragraph_id = paragraph_id self.problem_content = problem_content def or_get(exists_problem_list, content, dataset_id, document_id, paragraph_id, problem_content_dict): if content in problem_content_dict: return problem_content_dict.get(content)[0], document_id, paragraph_id exists = [row for row in exists_problem_list if row.content == content] if len(exists) > 0: problem_content_dict[content] = exists[0], False return exists[0], document_id, paragraph_id else: problem = Problem(id=uuid.uuid1(), content=content, dataset_id=dataset_id) problem_content_dict[content] = problem, True return problem, document_id, paragraph_id class ProblemParagraphManage: def __init__(self, problemParagraphObjectList: [ProblemParagraphObject], dataset_id): self.dataset_id = dataset_id self.problemParagraphObjectList = problemParagraphObjectList def to_problem_model_list(self): problem_list = [item.problem_content for item in self.problemParagraphObjectList] exists_problem_list = [] if len(self.problemParagraphObjectList) > 0: # 查询到已存在的问题列表 exists_problem_list = QuerySet(Problem).filter(dataset_id=self.dataset_id, content__in=problem_list).all() problem_content_dict = {} problem_model_list = [ or_get(exists_problem_list, problemParagraphObject.problem_content, problemParagraphObject.dataset_id, problemParagraphObject.document_id, problemParagraphObject.paragraph_id, problem_content_dict) for problemParagraphObject in self.problemParagraphObjectList] problem_paragraph_mapping_list = [ ProblemParagraphMapping(id=uuid.uuid1(), document_id=document_id, problem_id=problem_model.id, paragraph_id=paragraph_id, dataset_id=self.dataset_id) for problem_model, document_id, paragraph_id in problem_model_list] result = [problem_model for problem_model, is_create in problem_content_dict.values() if is_create], problem_paragraph_mapping_list return result def get_embedding_model_by_dataset_id_list(dataset_id_list: List): dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list) if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1: raise Exception(_('The knowledge base is inconsistent with the vector model')) if len(dataset_list) == 0: raise Exception(_('Knowledge base setting error, please reset the knowledge base')) return ModelManage.get_model(str(dataset_list[0].embedding_mode_id), lambda _id: get_model(dataset_list[0].embedding_mode)) def get_embedding_model_by_dataset_id(dataset_id: str): dataset = QuerySet(DataSet).select_related('embedding_mode').filter(id=dataset_id).first() return ModelManage.get_model(str(dataset.embedding_mode_id), lambda _id: get_model(dataset.embedding_mode)) def get_embedding_model_by_dataset(dataset): return ModelManage.get_model(str(dataset.embedding_mode_id), lambda _id: get_model(dataset.embedding_mode)) def get_embedding_model_id_by_dataset_id(dataset_id): dataset = QuerySet(DataSet).select_related('embedding_mode').filter(id=dataset_id).first() return str(dataset.embedding_mode_id) def get_embedding_model_id_by_dataset_id_list(dataset_id_list: List): dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list) if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1: raise Exception(_('The knowledge base is inconsistent with the vector model')) if len(dataset_list) == 0: raise Exception(_('Knowledge base setting error, please reset the knowledge base')) return str(dataset_list[0].embedding_mode_id)