import io
import json
import logging
import os
import re
import traceback
from functools import reduce
from tempfile import TemporaryDirectory
from typing import Dict, List

import uuid_utils.compat as uuid
from celery_once import AlreadyQueued
from django.core import validators
from django.core.cache import cache
from django.db import transaction, models
from django.db.models import QuerySet
from django.db.models.functions import Reverse, Substr
from django.http import HttpResponse
from django.utils.translation import gettext_lazy as _
from rest_framework import serializers

from application.models import ApplicationKnowledgeMapping
from common.config.embedding_config import VectorStore
from common.constants.cache_version import Cache_Version
from common.constants.permission_constants import ResourceAuthType, ResourcePermissionGroup
from common.database_model_manage.database_model_manage import DatabaseModelManage
from common.db.search import native_search, get_dynamics_model, native_page_search
from common.db.sql_execute import select_list
from common.event import ListenerManagement
from common.exception.app_exception import AppApiException
from common.utils.common import valid_license, post, get_file_content, parse_image
from common.utils.fork import Fork, ChildLink
from common.utils.split_model import get_split_model
from knowledge.models import Knowledge, KnowledgeScope, KnowledgeType, Document, Paragraph, Problem, \
    ProblemParagraphMapping, TaskType, State, SearchMode, KnowledgeFolder
from knowledge.serializers.common import ProblemParagraphManage, get_embedding_model_id_by_knowledge_id, MetaSerializer, \
    GenerateRelatedSerializer, get_embedding_model_by_knowledge_id, list_paragraph, write_image, zip_dir
from knowledge.serializers.document import DocumentSerializers
from knowledge.task.embedding import embedding_by_knowledge, delete_embedding_by_knowledge
from knowledge.task.generate import generate_related_by_knowledge_id
from knowledge.task.sync import sync_web_knowledge, sync_replace_web_knowledge
from maxkb.conf import PROJECT_DIR
from models_provider.models import Model
from system_manage.models import WorkspaceUserResourcePermission, AuthTargetType
from users.serializers.user import is_workspace_manage


class KnowledgeModelSerializer(serializers.ModelSerializer):
    class Meta:
        model = Knowledge
        fields = ['id', 'name', 'desc', 'meta', 'folder_id', 'type', 'workspace_id', 'create_time', 'update_time']


class KnowledgeBaseCreateRequest(serializers.Serializer):
    name = serializers.CharField(required=True, label=_('knowledge name'))
    folder_id = serializers.CharField(required=True, label=_('folder id'))
    desc = serializers.CharField(required=False, allow_null=True, allow_blank=True, label=_('knowledge description'))
    embedding_model_id = serializers.CharField(required=True, label=_('knowledge embedding'))


class KnowledgeWebCreateRequest(serializers.Serializer):
    name = serializers.CharField(required=True, label=_('knowledge name'))
    folder_id = serializers.CharField(required=True, label=_('folder id'))
    desc = serializers.CharField(required=False, allow_null=True, allow_blank=True, label=_('knowledge description'))
    embedding_model_id = serializers.CharField(required=True, label=_('knowledge embedding'))
    source_url = serializers.CharField(required=True, label=_('source url'))
    selector = serializers.CharField(required=False, label=_('knowledge selector'), allow_null=True, allow_blank=True)


class KnowledgeEditRequest(serializers.Serializer):
    name = serializers.CharField(required=False, max_length=64, min_length=1, label=_('knowledge name'))
    desc = serializers.CharField(required=False, max_length=256, min_length=1, label=_('knowledge description'))
    meta = serializers.DictField(required=False)
    application_id_list = serializers.ListSerializer(
        required=False,
        child=serializers.UUIDField(required=True, label=_('application id')),
        label=_('application id list')
    )
    file_size_limit = serializers.IntegerField(required=False, label=_('file size limit'))
    file_count_limit = serializers.IntegerField(required=False, label=_('file count limit'))

    @staticmethod
    def get_knowledge_meta_valid_map():
        knowledge_meta_valid_map = {
            KnowledgeType.BASE: MetaSerializer.BaseMeta,
            KnowledgeType.WEB: MetaSerializer.WebMeta
        }
        return knowledge_meta_valid_map

    def is_valid(self, *, knowledge: Knowledge = None):
        super().is_valid(raise_exception=True)
        if 'meta' in self.data and self.data.get('meta') is not None:
            knowledge_meta_valid_map = self.get_knowledge_meta_valid_map()
            valid_class = knowledge_meta_valid_map.get(knowledge.type)
            valid_class(data=self.data.get('meta')).is_valid(raise_exception=True)


class HitTestSerializer(serializers.Serializer):
    query_text = serializers.CharField(required=True, label=_('query text'))
    top_number = serializers.IntegerField(required=True, max_value=10000, min_value=1, label=_("top number"))
    similarity = serializers.FloatField(required=True, max_value=2, min_value=0, label=_('similarity'))
    search_mode = serializers.CharField(required=True, label=_('search mode'), validators=[
        validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
                                  message=_('The type only supports embedding|keywords|blend'), code=500)
    ])


class KnowledgeSerializer(serializers.Serializer):
    class Query(serializers.Serializer):
        workspace_id = serializers.CharField(required=True)
        folder_id = serializers.CharField(required=True)
        name = serializers.CharField(required=False, label=_('knowledge name'), allow_null=True, allow_blank=True,
                                     max_length=64, min_length=1)
        desc = serializers.CharField(required=False, label=_('knowledge description'), allow_null=True,
                                     allow_blank=True, max_length=256, min_length=1)
        user_id = serializers.UUIDField(required=False, label=_('user id'), allow_null=True)
        scope = serializers.CharField(required=False, label=_('knowledge scope'), allow_null=True)

        @staticmethod
        def is_x_pack_ee():
            workspace_user_role_mapping_model = DatabaseModelManage.get_model("workspace_user_role_mapping")
            role_permission_mapping_model = DatabaseModelManage.get_model("role_permission_mapping_model")
            return workspace_user_role_mapping_model is not None and role_permission_mapping_model is not None

        def get_query_set(self, workspace_manage, is_x_pack_ee):
            workspace_id = self.data.get("workspace_id")
            query_set_dict = {}
            query_set = QuerySet(model=get_dynamics_model({
                'temp.name': models.CharField(),
                'temp.desc': models.CharField(),
                "document_temp.char_length": models.IntegerField(),
                'temp.create_time': models.DateTimeField(),
                'temp.user_id': models.CharField(),
                'temp.workspace_id': models.CharField(),
                'temp.folder_id': models.CharField(),
                'temp.id': models.CharField(),
                'temp.scope': models.CharField(),
            }))
            folder_query_set = QuerySet(KnowledgeFolder)

            if "desc" in self.data and self.data.get('desc') is not None:
                query_set = query_set.filter(**{'temp.desc__icontains': self.data.get("desc")})
                folder_query_set = folder_query_set.filter(**{'desc__icontains': self.data.get("desc")})
            if "name" in self.data and self.data.get('name') is not None:
                query_set = query_set.filter(**{'temp.name__icontains': self.data.get("name")})
                folder_query_set = folder_query_set.filter(**{'name__icontains': self.data.get("name")})
            if "workspace_id" in self.data and self.data.get('workspace_id') is not None:
                query_set = query_set.filter(**{'temp.workspace_id': self.data.get("workspace_id")})
                folder_query_set = folder_query_set.filter(**{'workspace_id': self.data.get("workspace_id")})
            if "folder_id" in self.data and self.data.get('folder_id') is not None:
                query_set = query_set.filter(**{'temp.folder_id': self.data.get("folder_id")})
                folder_query_set = folder_query_set.filter(**{'parent_id': self.data.get("folder_id")})
            if "scope" in self.data and self.data.get('scope') is not None:
                query_set = query_set.filter(**{'temp.scope': self.data.get("scope")})
            query_set = query_set.order_by("-temp.create_time", "temp.id")
            query_set_dict['default_sql'] = query_set

            query_set_dict['knowledge_custom_sql'] = QuerySet(model=get_dynamics_model({
                'knowledge.workspace_id': models.CharField(),
            })).filter(**{'knowledge.workspace_id': workspace_id})
            query_set_dict['folder_query_set'] = folder_query_set
            if not workspace_manage and is_x_pack_ee:
                query_set_dict['workspace_user_resource_permission_query_set'] = QuerySet(
                    WorkspaceUserResourcePermission).filter(
                    auth_target_type="KNOWLEDGE",
                    workspace_id=workspace_id,
                    user_id=self.data.get("user_id"))
            return query_set_dict

        def page(self, current_page: int, page_size: int):
            self.is_valid(raise_exception=True)

            folder_id = self.data.get('folder_id', self.data.get("workspace_id"))
            root = KnowledgeFolder.objects.filter(id=folder_id).first()
            if not root:
                raise serializers.ValidationError(_('Folder not found'))
            workspace_manage = is_workspace_manage(self.data.get('user_id'), self.data.get('workspace_id'))
            is_x_pack_ee = self.is_x_pack_ee()
            return native_page_search(
                current_page,
                page_size,
                self.get_query_set(workspace_manage, is_x_pack_ee),
                select_string=get_file_content(
                    os.path.join(
                        PROJECT_DIR,
                        "apps",
                        "knowledge", 'sql',
                        'list_knowledge.sql' if workspace_manage else (
                            'list_knowledge_user_ee.sql' if is_x_pack_ee else 'list_knowledge_user.sql'
                        )
                    )
                ),
                post_records_handler=lambda r: r
            )

        def list(self):
            self.is_valid(raise_exception=True)
            folder_id = self.data.get('folder_id', self.data.get("workspace_id"))
            root = KnowledgeFolder.objects.filter(id=folder_id).first()
            if not root:
                raise serializers.ValidationError(_('Folder not found'))
            workspace_manage = is_workspace_manage(self.data.get('user_id'), self.data.get('workspace_id'))
            is_x_pack_ee = self.is_x_pack_ee()
            return native_search(
                self.get_query_set(workspace_manage, is_x_pack_ee),
                select_string=get_file_content(
                    os.path.join(
                        PROJECT_DIR,
                        "apps",
                        "knowledge", 'sql',
                        'list_knowledge.sql' if workspace_manage else (
                            'list_knowledge_user_ee.sql' if self.is_x_pack_ee() else 'list_knowledge_user.sql'
                        )
                    )
                ),
            )

    class Operate(serializers.Serializer):
        user_id = serializers.UUIDField(required=True, label=_('user id'))
        workspace_id = serializers.CharField(required=True, label=_('workspace id'))
        knowledge_id = serializers.UUIDField(required=True, label=_('knowledge id'))

        @transaction.atomic
        def embedding(self, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
            knowledge_id = self.data.get('knowledge_id')
            knowledge = QuerySet(Knowledge).filter(id=knowledge_id).first()
            embedding_model_id = knowledge.embedding_model_id
            embedding_model = QuerySet(Model).filter(id=embedding_model_id).first()
            if embedding_model is None:
                raise AppApiException(500, _('Model does not exist'))
            ListenerManagement.update_status(
                QuerySet(Document).filter(knowledge_id=self.data.get('knowledge_id')),
                TaskType.EMBEDDING,
                State.PENDING
            )
            ListenerManagement.update_status(
                QuerySet(Paragraph).filter(knowledge_id=self.data.get('knowledge_id')),
                TaskType.EMBEDDING,
                State.PENDING
            )
            ListenerManagement.get_aggregation_document_status_by_knowledge_id(self.data.get('knowledge_id'))()
            embedding_model_id = get_embedding_model_id_by_knowledge_id(self.data.get('knowledge_id'))
            try:
                embedding_by_knowledge.delay(knowledge_id, embedding_model_id)
            except AlreadyQueued as e:
                raise AppApiException(500, _('Failed to send the vectorization task, please try again later!'))

        def generate_related(self, instance: Dict, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
                GenerateRelatedSerializer(data=instance).is_valid(raise_exception=True)
            knowledge_id = self.data.get('knowledge_id')
            model_id = instance.get("model_id")
            prompt = instance.get("prompt")
            state_list = instance.get('state_list')
            ListenerManagement.update_status(
                QuerySet(Document).filter(knowledge_id=knowledge_id),
                TaskType.GENERATE_PROBLEM,
                State.PENDING
            )
            ListenerManagement.update_status(
                QuerySet(Paragraph).annotate(
                    reversed_status=Reverse('status'),
                    task_type_status=Substr('reversed_status', TaskType.GENERATE_PROBLEM.value, 1),
                ).filter(
                    task_type_status__in=state_list, knowledge_id=knowledge_id
                ).values('id'),
                TaskType.GENERATE_PROBLEM,
                State.PENDING
            )
            ListenerManagement.get_aggregation_document_status_by_knowledge_id(knowledge_id)()
            try:
                generate_related_by_knowledge_id.delay(knowledge_id, model_id, prompt, state_list)
            except AlreadyQueued as e:
                raise AppApiException(500, _('Failed to send the vectorization task, please try again later!'))

        def list_application(self, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
            # knowledge = QuerySet(Knowledge).get(id=self.data.get("knowledge_id"))
            return select_list(
                get_file_content(
                    os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql', 'list_knowledge_application.sql')
                ),
                [
                    self.data.get('user_id'),
                ]
            )

        def one(self):
            self.is_valid()
            query_set_dict = {
                'default_sql': QuerySet(
                    model=get_dynamics_model({'temp.id': models.CharField()})
                ).filter(**{'temp.id': self.data.get("knowledge_id")}),
                'knowledge_custom_sql': QuerySet(
                    model=get_dynamics_model({'knowledge.user_id': models.CharField()})
                ).filter(**{'knowledge.user_id': self.data.get("user_id")}),
                'folder_query_set': QuerySet(KnowledgeFolder)
            }
            all_application_list = [str(adm.get('id')) for adm in self.list_application(with_valid=False)]
            knowledge_dict = native_search(query_set_dict, select_string=get_file_content(
                os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql', 'list_knowledge.sql')), with_search_one=True)
            if knowledge_dict is None:
                return None
            return {
                **knowledge_dict,
                'meta': json.loads(knowledge_dict.get('meta', '{}')),
                'application_id_list': list(filter(
                    lambda application_id: all_application_list.__contains__(application_id),
                    [
                        str(
                            application_knowledge_mapping.application_id
                        ) for application_knowledge_mapping in
                        QuerySet(ApplicationKnowledgeMapping).filter(knowledge_id=self.data.get('knowledge_id'))
                    ]
                ))
            }

        @transaction.atomic
        def edit(self, instance: Dict):
            self.is_valid()
            if QuerySet(Knowledge).filter(
                    workspace_id=self.data.get('workspace_id'),
                    name=instance.get('name')
            ).exclude(id=self.data.get('knowledge_id')).exists():
                raise AppApiException(500, _('Knowledge base name duplicate!'))
            knowledge = QuerySet(Knowledge).get(id=self.data.get("knowledge_id"))
            KnowledgeEditRequest(data=instance).is_valid(knowledge=knowledge)
            if 'embedding_model_id' in instance:
                knowledge.embedding_model_id = instance.get('embedding_model_id')
            if "name" in instance:
                knowledge.name = instance.get("name")
            if 'desc' in instance:
                knowledge.desc = instance.get("desc")
            if 'meta' in instance:
                knowledge.meta = instance.get('meta')
            if 'file_size_limit' in instance:
                knowledge.file_size_limit = instance.get('file_size_limit')
            if 'file_count_limit' in instance:
                knowledge.file_count_limit = instance.get('file_count_limit')
            if 'application_id_list' in instance and instance.get('application_id_list') is not None:
                application_id_list = instance.get('application_id_list')
                # 当前用户可修改关联的知识库列表
                application_knowledge_id_list = [
                    str(knowledge_dict.get('id')) for knowledge_dict in self.list_application(with_valid=False)
                ]
                for knowledge_id in application_id_list:
                    if not application_knowledge_id_list.__contains__(knowledge_id):
                        raise AppApiException(
                            500,
                            _(
                                'Unknown application id {knowledge_id}, cannot be associated'
                            ).format(knowledge_id=knowledge_id)
                        )

                QuerySet(ApplicationKnowledgeMapping).filter(
                    application_id__in=application_knowledge_id_list,
                    knowledge_id=self.data.get("knowledge_id")
                ).delete()
                # 插入
                QuerySet(ApplicationKnowledgeMapping).bulk_create([
                    ApplicationKnowledgeMapping(
                        application_id=application_id, knowledge_id=self.data.get('knowledge_id')
                    ) for application_id in application_id_list
                ]) if len(application_id_list) > 0 else None

            knowledge.save()
            return self.one()

        @transaction.atomic
        def delete(self):
            self.is_valid()
            knowledge = QuerySet(Knowledge).get(id=self.data.get("knowledge_id"))
            QuerySet(Document).filter(knowledge=knowledge).delete()
            QuerySet(ProblemParagraphMapping).filter(knowledge=knowledge).delete()
            QuerySet(Paragraph).filter(knowledge=knowledge).delete()
            QuerySet(Problem).filter(knowledge=knowledge).delete()
            knowledge.delete()
            delete_embedding_by_knowledge(self.data.get('knowledge_id'))
            return True

        def export_excel(self, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
            document_list = QuerySet(Document).filter(knowledge_id=self.data.get('id'))
            paragraph_list = native_search(QuerySet(Paragraph).filter(knowledge_id=self.data.get("id")),
                                           get_file_content(
                                               os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql',
                                                            'list_paragraph_document_name.sql')))
            problem_mapping_list = native_search(
                QuerySet(ProblemParagraphMapping).filter(knowledge_id=self.data.get("id")), get_file_content(
                    os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql', 'list_problem_mapping.sql')),
                with_table_name=True)
            data_dict, document_dict = DocumentSerializers.Operate.merge_problem(paragraph_list, problem_mapping_list,
                                                                                 document_list)
            workbook = DocumentSerializers.Operate.get_workbook(data_dict, document_dict)
            response = HttpResponse(content_type='application/vnd.ms-excel')
            response['Content-Disposition'] = 'attachment; filename="knowledge.xlsx"'
            workbook.save(response)
            return response

        def export_zip(self, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
            document_list = QuerySet(Document).filter(knowledge_id=self.data.get('id'))
            paragraph_list = native_search(QuerySet(Paragraph).filter(knowledge_id=self.data.get("id")),
                                           get_file_content(
                                               os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql',
                                                            'list_paragraph_document_name.sql')))
            problem_mapping_list = native_search(
                QuerySet(ProblemParagraphMapping).filter(knowledge_id=self.data.get("id")), get_file_content(
                    os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql', 'list_problem_mapping.sql')),
                with_table_name=True)
            data_dict, document_dict = DocumentSerializers.Operate.merge_problem(paragraph_list, problem_mapping_list,
                                                                                 document_list)
            res = [parse_image(paragraph.get('content')) for paragraph in paragraph_list]

            workbook = DocumentSerializers.Operate.get_workbook(data_dict, document_dict)
            response = HttpResponse(content_type='application/zip')
            response['Content-Disposition'] = 'attachment; filename="archive.zip"'
            zip_buffer = io.BytesIO()
            with TemporaryDirectory() as tempdir:
                knowledge_file = os.path.join(tempdir, 'knowledge.xlsx')
                workbook.save(knowledge_file)
                for r in res:
                    write_image(tempdir, r)
                zip_dir(tempdir, zip_buffer)
            response.write(zip_buffer.getvalue())
            return response

        @staticmethod
        def merge_problem(paragraph_list: List[Dict], problem_mapping_list: List[Dict]):
            result = {}
            document_dict = {}

            for paragraph in paragraph_list:
                problem_list = [problem_mapping.get('content') for problem_mapping in problem_mapping_list if
                                problem_mapping.get('paragraph_id') == paragraph.get('id')]
                document_sheet = result.get(paragraph.get('document_id'))
                d = document_dict.get(paragraph.get('document_name'))
                if d is None:
                    document_dict[paragraph.get('document_name')] = {paragraph.get('document_id')}
                else:
                    d.add(paragraph.get('document_id'))

                if document_sheet is None:
                    result[paragraph.get('document_id')] = [[paragraph.get('title'), paragraph.get('content'),
                                                             '\n'.join(problem_list)]]
                else:
                    document_sheet.append([paragraph.get('title'), paragraph.get('content'), '\n'.join(problem_list)])
            result_document_dict = {}
            for d_name in document_dict:
                for index, d_id in enumerate(document_dict.get(d_name)):
                    result_document_dict[d_id] = d_name if index == 0 else d_name + str(index)
            return result, result_document_dict

    class Create(serializers.Serializer):
        user_id = serializers.UUIDField(required=True, label=_('user id'))
        workspace_id = serializers.CharField(required=True, label=_('workspace id'))
        scope = serializers.ChoiceField(required=False, label=_('scope'), default=KnowledgeScope.WORKSPACE,
                                        choices=KnowledgeScope.choices)

        @staticmethod
        def post_embedding_knowledge(document_list, knowledge_id):
            model_id = get_embedding_model_id_by_knowledge_id(knowledge_id)
            embedding_by_knowledge.delay(knowledge_id, model_id)
            return document_list

        @valid_license(model=Knowledge, count=50,
                       message=_(
                           'The community version supports up to 50 knowledge bases. If you need more knowledge bases, please contact us (https://fit2cloud.com/).'))
        @post(post_function=post_embedding_knowledge)
        @transaction.atomic
        def save_base(self, instance, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
                KnowledgeBaseCreateRequest(data=instance).is_valid(raise_exception=True)
            folder_id = instance.get('folder_id', self.data.get('workspace_id'))
            if QuerySet(Knowledge).filter(workspace_id=self.data.get('workspace_id'),
                                          folder_id=folder_id,
                                          name=instance.get('name')).exists():
                raise AppApiException(500, _('Knowledge base name duplicate!'))

            knowledge_id = uuid.uuid7()
            knowledge = Knowledge(
                id=knowledge_id,
                name=instance.get('name'),
                workspace_id=self.data.get('workspace_id'),
                desc=instance.get('desc'),
                type=instance.get('type', KnowledgeType.BASE),
                user_id=self.data.get('user_id'),
                scope=self.data.get('scope', KnowledgeScope.WORKSPACE),
                folder_id=folder_id,
                embedding_model_id=instance.get('embedding_model_id'),
                meta=instance.get('meta', {}),
            )

            document_model_list = []
            paragraph_model_list = []
            problem_paragraph_object_list = []
            # 插入文档
            for document in instance.get('documents') if 'documents' in instance else []:
                document_paragraph_dict_model = DocumentSerializers.Create.get_document_paragraph_model(knowledge_id,
                                                                                                        document)
                document_model_list.append(document_paragraph_dict_model.get('document'))
                for paragraph in document_paragraph_dict_model.get('paragraph_model_list'):
                    paragraph_model_list.append(paragraph)
                for problem_paragraph_object in document_paragraph_dict_model.get('problem_paragraph_object_list'):
                    problem_paragraph_object_list.append(problem_paragraph_object)

            problem_model_list, problem_paragraph_mapping_list = (
                ProblemParagraphManage(problem_paragraph_object_list, knowledge_id)
                .to_problem_model_list())
            # 插入知识库
            knowledge.save()
            # 插入文档
            QuerySet(Document).bulk_create(document_model_list) if len(document_model_list) > 0 else None
            # 批量插入段落
            QuerySet(Paragraph).bulk_create(paragraph_model_list) if len(paragraph_model_list) > 0 else None
            # 批量插入问题
            QuerySet(Problem).bulk_create(problem_model_list) if len(problem_model_list) > 0 else None
            # 批量插入关联问题
            QuerySet(ProblemParagraphMapping).bulk_create(
                problem_paragraph_mapping_list
            ) if len(problem_paragraph_mapping_list) > 0 else None

            # 自动授权给创建者
            WorkspaceUserResourcePermission(
                target=knowledge_id,
                auth_target_type=AuthTargetType.KNOWLEDGE,
                permission_list=[ResourcePermissionGroup.VIEW, ResourcePermissionGroup.MANAGE],
                workspace_id=self.data.get('workspace_id'),
                user_id=self.data.get('user_id'),
                auth_type=ResourceAuthType.RESOURCE_PERMISSION_GROUP
            ).save()
            # 刷新缓存
            version = Cache_Version.PERMISSION_LIST.get_version()
            key = Cache_Version.PERMISSION_LIST.get_key(user_id=self.data.get('user_id'))
            cache.delete(key, version=version)

            return {
                **KnowledgeModelSerializer(knowledge).data,
                'user_id': self.data.get('user_id'),
                'document_list': document_model_list,
                "document_count": len(document_model_list),
                "char_length": reduce(lambda x, y: x + y, [d.char_length for d in document_model_list], 0)
            }, knowledge_id

        def save_web(self, instance: Dict, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
                KnowledgeWebCreateRequest(data=instance).is_valid(raise_exception=True)

            folder_id = instance.get('folder_id', self.data.get('workspace_id'))
            if QuerySet(Knowledge).filter(workspace_id=self.data.get('workspace_id'),
                                          folder_id=folder_id,
                                          name=instance.get('name')).exists():
                raise AppApiException(500, _('Knowledge base name duplicate!'))

            knowledge_id = uuid.uuid7()
            knowledge = Knowledge(
                id=knowledge_id,
                name=instance.get('name'),
                desc=instance.get('desc'),
                user_id=self.data.get('user_id'),
                type=instance.get('type', KnowledgeType.WEB),
                scope=self.data.get('scope', KnowledgeScope.WORKSPACE),
                folder_id=folder_id,
                workspace_id=self.data.get('workspace_id'),
                embedding_model_id=instance.get('embedding_model_id'),
                meta={
                    'source_url': instance.get('source_url'),
                    'selector': instance.get('selector', 'body'),
                    'embedding_model_id': instance.get('embedding_model_id')
                },
            )
            knowledge.save()
            # 自动授权给创建者
            WorkspaceUserResourcePermission(
                target=knowledge_id,
                auth_target_type=AuthTargetType.KNOWLEDGE,
                permission_list=[ResourcePermissionGroup.VIEW, ResourcePermissionGroup.MANAGE],
                workspace_id=self.data.get('workspace_id'),
                user_id=self.data.get('user_id'),
                auth_type=ResourceAuthType.RESOURCE_PERMISSION_GROUP
            ).save()
            # 刷新缓存
            version = Cache_Version.PERMISSION_LIST.get_version()
            key = Cache_Version.PERMISSION_LIST.get_key(user_id=self.data.get('user_id'))
            cache.delete(key, version=version)

            sync_web_knowledge.delay(str(knowledge_id), instance.get('source_url'), instance.get('selector'))
            return {**KnowledgeModelSerializer(knowledge).data, 'document_list': []}

    class SyncWeb(serializers.Serializer):
        workspace_id = serializers.CharField(required=True, label=_('workspace id'))
        knowledge_id = serializers.CharField(required=True, label=_('knowledge id'))
        user_id = serializers.UUIDField(required=False, label=_('user id'))
        sync_type = serializers.CharField(required=True, label=_('sync type'), validators=[
            validators.RegexValidator(regex=re.compile("^replace|complete$"),
                                      message=_('The synchronization type only supports:replace|complete'), code=500)])

        def is_valid(self, *, raise_exception=False):
            super().is_valid(raise_exception=True)
            first = QuerySet(Knowledge).filter(id=self.data.get("knowledge_id")).first()
            if first is None:
                raise AppApiException(300, _('id does not exist'))
            if first.type != KnowledgeType.WEB:
                raise AppApiException(500, _('Synchronization is only supported for web site types'))

        def sync(self, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
            sync_type = self.data.get('sync_type')
            knowledge_id = self.data.get('knowledge_id')
            knowledge = QuerySet(Knowledge).get(id=knowledge_id)
            self.__getattribute__(sync_type + '_sync')(knowledge)
            return True

        @staticmethod
        def get_sync_handler(knowledge):
            def handler(child_link: ChildLink, response: Fork.Response):
                if response.status == 200:
                    try:
                        document_name = child_link.tag.text if child_link.tag is not None and len(
                            child_link.tag.text.strip()) > 0 else child_link.url
                        paragraphs = get_split_model('web.md').parse(response.content)
                        logging.getLogger("max_kb").info(child_link.url.strip())
                        first = QuerySet(Document).filter(
                            meta__source_url=child_link.url.strip(),
                            knowledge=knowledge
                        ).first()
                        if first is not None:
                            # 如果存在,使用文档同步
                            DocumentSerializers.Sync(data={'document_id': first.id}).sync()
                        else:
                            # 插入
                            DocumentSerializers.Create(data={'knowledge_id': knowledge.id}).save(
                                {'name': document_name, 'paragraphs': paragraphs,
                                 'meta': {'source_url': child_link.url.strip(),
                                          'selector': knowledge.meta.get('selector')},
                                 'type': KnowledgeType.WEB}, with_valid=True)
                    except Exception as e:
                        logging.getLogger("max_kb_error").error(f'{str(e)}:{traceback.format_exc()}')

            return handler

        def replace_sync(self, knowledge):
            """
            替换同步
            :return:
            """
            url = knowledge.meta.get('source_url')
            selector = knowledge.meta.get('selector') if 'selector' in knowledge.meta else None
            sync_replace_web_knowledge.delay(str(knowledge.id), url, selector)

        def complete_sync(self, knowledge):
            """
            完整同步  删掉当前数据集下所有的文档,再进行同步
            :return:
            """
            # 删除关联问题
            QuerySet(ProblemParagraphMapping).filter(knowledge=knowledge).delete()
            # 删除文档
            QuerySet(Document).filter(knowledge=knowledge).delete()
            # 删除段落
            QuerySet(Paragraph).filter(knowledge=knowledge).delete()
            # 删除向量
            delete_embedding_by_knowledge(self.data.get('knowledge_id'))
            # 同步
            self.replace_sync(knowledge)

    class HitTest(serializers.Serializer):
        workspace_id = serializers.CharField(required=True, label=_('workspace id'))
        knowledge_id = serializers.UUIDField(required=True, label=_("id"))
        user_id = serializers.UUIDField(required=False, label=_('user id'))
        query_text = serializers.CharField(required=True, label=_('query text'))
        top_number = serializers.IntegerField(required=True, max_value=10000, min_value=1, label=_("top number"))
        similarity = serializers.FloatField(required=True, max_value=2, min_value=0, label=_('similarity'))
        search_mode = serializers.CharField(required=True, label=_('search mode'), validators=[
            validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
                                      message=_('The type only supports embedding|keywords|blend'), code=500)
        ])

        def is_valid(self, *, raise_exception=True):
            super().is_valid(raise_exception=True)
            if not QuerySet(Knowledge).filter(id=self.data.get("knowledge_id")).exists():
                raise AppApiException(300, _('id does not exist'))

        def hit_test(self):
            self.is_valid()
            vector = VectorStore.get_embedding_vector()
            exclude_document_id_list = [
                str(
                    document.id
                ) for document in QuerySet(Document).filter(knowledge_id=self.data.get('knowledge_id'), is_active=False)
            ]
            model = get_embedding_model_by_knowledge_id(self.data.get('knowledge_id'))
            # 向量库检索
            hit_list = vector.hit_test(
                self.data.get('query_text'),
                [self.data.get('knowledge_id')],
                exclude_document_id_list,
                self.data.get('top_number'),
                self.data.get('similarity'),
                SearchMode(self.data.get('search_mode')),
                model
            )
            hit_dict = reduce(lambda x, y: {**x, **y}, [{hit.get('paragraph_id'): hit} for hit in hit_list], {})
            p_list = list_paragraph([h.get('paragraph_id') for h in hit_list])
            return [
                {
                    **p,
                    'similarity': hit_dict.get(p.get('id')).get('similarity'),
                    'comprehensive_score': hit_dict.get(p.get('id')).get('comprehensive_score')
                } for p in p_list
            ]