feat: 数据集,文档,段落,问题,向量化接口

.gitignore

@@ -162,6 +162,7 @@ cython_debug/
 ui/node_modules
 ui/dist
 apps/static
+models/
 data
 .idea
 .dev

apps/application/migrations/0001_initial.py

@@ -1,4 +1,4 @@
-# Generated by Django 4.1.10 on 2023-10-09 06:33
+# Generated by Django 4.1.10 on 2023-10-24 12:13
 
 import django.contrib.postgres.fields
 from django.db import migrations, models

apps/common/config/embedding_config.py

@@ -0,0 +1,51 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： embedding_config.py
+    @date：2023/10/23 16:03
+    @desc:
+"""
+import types
+from smartdoc.const import CONFIG
+from langchain.embeddings import HuggingFaceEmbeddings
+
+
+class EmbeddingModel:
+    instance = None
+
+    @staticmethod
+    def get_embedding_model():
+        """
+        获取向量化模型
+        :return:
+        """
+        if EmbeddingModel.instance is None:
+            model_name = CONFIG.get('EMBEDDING_MODEL_NAME')
+            cache_folder = CONFIG.get('EMBEDDING_MODEL_PATH')
+            device = CONFIG.get('EMBEDDING_DEVICE')
+            e = HuggingFaceEmbeddings(
+                model_name=model_name,
+                cache_folder=cache_folder,
+                model_kwargs={'device': device})
+            EmbeddingModel.instance = e
+        return EmbeddingModel.instance
+
+
+class VectorStore:
+    from embedding.vector.pg_vector import PGVector
+    from embedding.vector.base_vector import BaseVectorStore
+    instance_map = {
+        'pg_vector': PGVector,
+    }
+    instance = None
+
+    @staticmethod
+    def get_embedding_vector() -> BaseVectorStore:
+        from embedding.vector.pg_vector import PGVector
+        if VectorStore.instance is None:
+            from smartdoc.const import CONFIG
+            vector_store_class = VectorStore.instance_map.get(CONFIG.get("VECTOR_STORE_NAME"),
+                                                              PGVector)
+            VectorStore.instance = vector_store_class()
+        return VectorStore.instance

apps/common/constants/permission_constants.py

@@ -1,4 +1,3 @@
-# coding=utf-8
 """
     @project: qabot
     @Author：虎

apps/common/event/listener_manage.py

@@ -0,0 +1,162 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： listener_manage.py
+    @date：2023/10/20 14:01
+    @desc:
+"""
+import os
+from concurrent.futures import ThreadPoolExecutor
+
+import django.db.models
+from blinker import signal
+from django.db.models import QuerySet
+
+from common.config.embedding_config import VectorStore, EmbeddingModel
+from common.db.search import native_search, get_dynamics_model
+from common.util.file_util import get_file_content
+from dataset.models import Paragraph, Status, Document
+from embedding.models import SourceType
+from smartdoc.conf import PROJECT_DIR
+
+
+def poxy(poxy_function):
+    def inner(args):
+        ListenerManagement.work_thread_pool.submit(poxy_function, args)
+
+    return inner
+
+
+class ListenerManagement:
+    work_thread_pool = ThreadPoolExecutor(5)
+
+    embedding_by_problem_signal = signal("embedding_by_problem")
+    embedding_by_paragraph_signal = signal("embedding_by_paragraph")
+    embedding_by_dataset_signal = signal("embedding_by_dataset")
+    embedding_by_document_signal = signal("embedding_by_document")
+    delete_embedding_by_document_signal = signal("delete_embedding_by_document")
+    delete_embedding_by_dataset_signal = signal("delete_embedding_by_dataset")
+    delete_embedding_by_paragraph_signal = signal("delete_embedding_by_paragraph")
+    delete_embedding_by_source_signal = signal("delete_embedding_by_source")
+    enable_embedding_by_paragraph_signal = signal('enable_embedding_by_paragraph')
+    disable_embedding_by_paragraph_signal = signal('disable_embedding_by_paragraph')
+    init_embedding_model_signal = signal('init_embedding_model')
+
+    @staticmethod
+    def embedding_by_problem(args):
+        VectorStore.get_embedding_vector().save(**args)
+
+    @staticmethod
+    @poxy
+    def embedding_by_paragraph(paragraph_id):
+        """
+        向量化段落 根据段落id
+        :param paragraph_id: 段落id
+        :return: None
+        """
+        data_list = native_search(
+            {'problem': QuerySet(get_dynamics_model({'problem.paragraph_id': django.db.models.CharField()})).filter(
+                **{'problem.paragraph_id': paragraph_id}),
+                'paragraph': QuerySet(Paragraph).filter(id=paragraph_id)},
+            select_string=get_file_content(
+                os.path.join(PROJECT_DIR, "apps", "common", 'sql', 'list_embedding_text.sql')))
+        # 批量向量化
+        VectorStore.get_embedding_vector().batch_save(data_list)
+        QuerySet(Paragraph).filter(id=paragraph_id).update(**{'status': Status.success.value})
+
+    @staticmethod
+    @poxy
+    def embedding_by_document(document_id):
+        """
+        向量化文档
+        :param document_id: 文档id
+        :return: None
+        """
+        data_list = native_search(
+            {'problem': QuerySet(get_dynamics_model({'problem.document_id': django.db.models.CharField()})).filter(
+                **{'problem.document_id': document_id}),
+                'paragraph': QuerySet(Paragraph).filter(document_id=document_id)},
+            select_string=get_file_content(
+                os.path.join(PROJECT_DIR, "apps", "common", 'sql', 'list_embedding_text.sql')))
+        # 批量向量化
+        VectorStore.get_embedding_vector().batch_save(data_list)
+        # 修改状态
+        QuerySet(Document).filter(id=document_id).update(**{'status': Status.success.value})
+        QuerySet(Paragraph).filter(document_id=document_id).update(**{'status': Status.success.value})
+
+    @staticmethod
+    @poxy
+    def embedding_by_dataset(dataset_id):
+        """
+        向量化数据集
+        :param dataset_id: 数据集id
+        :return: None
+        """
+        data_list = native_search(
+            {'problem': QuerySet(get_dynamics_model({'problem.dataset_id': django.db.models.CharField()})).filter(
+                **{'problem.dataset_id': dataset_id}),
+                'paragraph': QuerySet(Paragraph).filter(dataset_id=dataset_id)},
+            select_string=get_file_content(
+                os.path.join(PROJECT_DIR, "apps", "common", 'sql', 'list_embedding_text.sql')))
+        # 批量向量化
+        VectorStore.get_embedding_vector().batch_save(data_list)
+        #  修改文档 以及段落的状态
+        QuerySet(Document).filter(dataset_id=dataset_id).update(**{'status': Status.success.value})
+        QuerySet(Paragraph).filter(dataset_id=dataset_id).update(**{'status': Status.success.value})
+
+    @staticmethod
+    def delete_embedding_by_document(document_id):
+        VectorStore.get_embedding_vector().delete_by_document_id(document_id)
+
+    @staticmethod
+    def delete_embedding_by_dataset(dataset_id):
+        VectorStore.get_embedding_vector().delete_by_dataset_id(dataset_id)
+
+    @staticmethod
+    def delete_embedding_by_paragraph(paragraph_id):
+        VectorStore.get_embedding_vector().delete_by_paragraph_id(paragraph_id)
+
+    @staticmethod
+    def delete_embedding_by_source(source_id):
+        VectorStore.get_embedding_vector().delete_by_source_id(source_id, SourceType.PROBLEM)
+
+    @staticmethod
+    def disable_embedding_by_paragraph(paragraph_id):
+        VectorStore.get_embedding_vector().update_by_paragraph_id(paragraph_id, {'is_active': False})
+
+    @staticmethod
+    def enable_embedding_by_paragraph(paragraph_id):
+        VectorStore.get_embedding_vector().update_by_paragraph_id(paragraph_id, {'is_active': True})
+
+    @staticmethod
+    @poxy
+    def init_embedding_model(ags):
+        EmbeddingModel.get_embedding_model()
+
+    def run(self):
+        #  添加向量 根据问题id
+        ListenerManagement.embedding_by_problem_signal.connect(self.embedding_by_problem)
+        #  添加向量 根据段落id
+        ListenerManagement.embedding_by_paragraph_signal.connect(self.embedding_by_paragraph)
+        #  添加向量 根据数据集id
+        ListenerManagement.embedding_by_dataset_signal.connect(
+            self.embedding_by_dataset)
+        #  添加向量 根据文档id
+        ListenerManagement.embedding_by_document_signal.connect(
+            self.embedding_by_document)
+        # 删除 向量 根据文档
+        ListenerManagement.delete_embedding_by_document_signal.connect(self.delete_embedding_by_document)
+        # 删除 向量 根据数据集id
+        ListenerManagement.delete_embedding_by_dataset_signal.connect(self.delete_embedding_by_dataset)
+        # 删除向量 根据段落id
+        ListenerManagement.delete_embedding_by_paragraph_signal.connect(
+            self.delete_embedding_by_paragraph)
+        # 删除向量 根据资源id
+        ListenerManagement.delete_embedding_by_source_signal.connect(self.delete_embedding_by_source)
+        # 禁用段落
+        ListenerManagement.disable_embedding_by_paragraph_signal.connect(self.disable_embedding_by_paragraph)
+        # 启动段落向量
+        ListenerManagement.enable_embedding_by_paragraph_signal.connect(self.enable_embedding_by_paragraph)
+        # 初始化向量化模型
+        ListenerManagement.init_embedding_model_signal.connect(self.init_embedding_model)

apps/common/handle/handle_exception.py

@@ -14,7 +14,7 @@ from rest_framework.views import exception_handler
 from common.exception.app_exception import AppApiException
 from common.response import result
 
-
+import traceback
 def to_result(key, args, parent_key=None):
     """
     将校验异常 args转换为统一数据
@@ -59,6 +59,7 @@ def handle_exception(exc, context):
     exception_class = exc.__class__
     # 先调用REST framework默认的异常处理方法获得标准错误响应对象
     response = exception_handler(exc, context)
+    traceback.print_exc()
     # 在此处补充自定义的异常处理
     if issubclass(exception_class, ValidationError):
         return validation_error_to_result(exc)

apps/common/response/result.py

@@ -70,7 +70,9 @@ def get_page_api_response(response_data_schema: openapi.Schema):
                                                                                   title="总条数",
                                                                                   default=1,
                                                                                   description="数据总条数"),
-                                                                              "records": response_data_schema,
+                                                                              "records": openapi.Schema(
+                                                                                  type=openapi.TYPE_ARRAY,
+                                                                                  items=response_data_schema),
                                                                               "current": openapi.Schema(
                                                                                   type=openapi.TYPE_INTEGER,
                                                                                   title="当前页",
@@ -115,6 +117,36 @@ def get_api_response(response_data_schema: openapi.Schema):
                                                               )})
 
 
+def get_default_response():
+    return get_api_response(openapi.Schema(type=openapi.TYPE_BOOLEAN))
+
+
+def get_api_array_response(response_data_schema: openapi.Schema):
+    """
+    获取统一返回 响应Api
+    """
+    return openapi.Responses(responses={200: openapi.Response(description="响应参数",
+                                                              schema=openapi.Schema(
+                                                                  type=openapi.TYPE_OBJECT,
+                                                                  properties={
+                                                                      'code': openapi.Schema(
+                                                                          type=openapi.TYPE_INTEGER,
+                                                                          title="响应码",
+                                                                          default=200,
+                                                                          description="成功:200 失败:其他"),
+                                                                      "message": openapi.Schema(
+                                                                          type=openapi.TYPE_STRING,
+                                                                          title="提示",
+                                                                          default='成功',
+                                                                          description="错误提示"),
+                                                                      "data": openapi.Schema(type=openapi.TYPE_ARRAY,
+                                                                                             items=response_data_schema)
+
+                                                                  }
+                                                              ),
+                                                              )})
+
+
 def success(data):
     """
     获取一个成功的响应对象

apps/common/sql/list_embedding_text.sql

@@ -0,0 +1,26 @@
+SELECT
+	problem."id" AS "source_id",
+	problem.document_id AS document_id,
+	problem.paragraph_id AS paragraph_id,
+	problem.dataset_id AS dataset_id,
+	0 AS source_type,
+	problem."content" AS "text",
+	paragraph.is_active AS is_active
+FROM
+	problem problem
+	LEFT JOIN paragraph paragraph ON paragraph."id" = problem.paragraph_id
+ ${problem}
+
+UNION
+SELECT
+	paragraph."id" AS "source_id",
+	paragraph.document_id AS document_id,
+	paragraph."id" AS paragraph_id,
+	paragraph.dataset_id AS dataset_id,
+	1 AS source_type,
+	paragraph."content" AS "text",
+	paragraph.is_active AS is_active
+FROM
+	paragraph paragraph
+
+ ${paragraph}

apps/common/util/common.py

@@ -0,0 +1,19 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： common.py
+    @date：2023/10/16 16:42
+    @desc:
+"""
+from functools import reduce
+from typing import Dict
+
+
+def query_params_to_single_dict(query_params: Dict):
+    return reduce(lambda x, y: {**x, y[0]: y[1]}, list(filter(lambda row: row[1] is not None,
+                                                              list(map(lambda row: (
+                                                                  row[0], row[1][0] if isinstance(row[1][0],
+                                                                                                  list) and len(
+                                                                      row[1][0]) > 0 else row[1][0]),
+                                                                       query_params.items())))), {})

apps/common/util/split_model.py

@@ -7,6 +7,7 @@
     @desc:
 """
 import re
+from functools import reduce
 from typing import List
 
 import jieba
@@ -25,7 +26,7 @@ def get_level_block(text, level_content_list, level_content_index):
         level_content_list) else None
     start_index = text.index(start_content)
     end_index = text.index(next_content) if next_content is not None else len(text)
-    return text[start_index:end_index]
+    return text[start_index:end_index].replace(level_content_list[level_content_index]['content'], "")
 
 
 def to_tree_obj(content, state='title'):
@@ -88,7 +89,7 @@ def to_paragraph(obj: dict):
     content = obj['content']
     return {"keywords": get_keyword(content),
             'parent_chain': list(map(lambda p: p['content'], obj['parent_chain'])),
-            'content': content}
+            'content': ",".join(list(map(lambda p: p['content'], obj['parent_chain']))) + content}
 
 
 def get_keyword(content: str):
@@ -109,13 +110,15 @@ def titles_to_paragraph(list_title: List[dict]):
     :return: 块段落
     """
     if len(list_title) > 0:
-        content = "\n".join(
+        content = "\n,".join(
             list(map(lambda d: d['content'].strip("\r\n").strip("\n").strip("\\s"), list_title)))
 
         return {'keywords': '',
                 'parent_chain': list(
                     map(lambda p: p['content'].strip("\r\n").strip("\n").strip("\\s"), list_title[0]['parent_chain'])),
-                'content': content}
+                'content': ",".join(list(
+                    map(lambda p: p['content'].strip("\r\n").strip("\n").strip("\\s"),
+                        list_title[0]['parent_chain']))) + content}
     return None
 
 
@@ -144,6 +147,15 @@ def to_block_paragraph(tree_data_list: List[dict]):
     return list(map(lambda level: parse_group_key(level_group_dict[level]), level_group_dict))
 
 
+def parse_title_level(text, content_level_pattern: List, index):
+    if len(content_level_pattern) == index:
+        return []
+    result = parse_level(text, content_level_pattern[index])
+    if len(result) == 0 and len(content_level_pattern) > index + 1:
+        return parse_title_level(text, content_level_pattern, index + 1)
+    return result
+
+
 def parse_level(text, pattern: str):
     """
     获取正则匹配到的文本
@@ -151,10 +163,17 @@ def parse_level(text, pattern: str):
     :param pattern:  正则
     :return: 符合正则的文本
     """
-    level_content_list = list(map(to_tree_obj, re.findall(pattern, text, flags=0)))
+    level_content_list = list(map(to_tree_obj, re_findall(pattern, text)))
     return list(map(filter_special_symbol, level_content_list))
 
 
+def re_findall(pattern, text):
+    result = re.findall(pattern, text, flags=0)
+    return list(filter(lambda r: r is not None and len(r) > 0, reduce(lambda x, y: [*x, *y], list(
+        map(lambda row: [*(row if isinstance(row, tuple) else [row])], result)),
+                                                                      [])))
+
+
 def to_flat_obj(parent_chain: List[dict], content: str, state: str):
     """
     将树形属性转换为扁平对象
@@ -194,10 +213,79 @@ def group_by(list_source: List, key):
     return result
 
 
+def result_tree_to_paragraph(result_tree: List[dict], result, parent_chain):
+    """
+    转换为分段对象
+    :param result_tree: 解析文本的树
+    :param result:      传[]  用于递归
+    :param parent_chain: 传[] 用户递归存储数据
+    :return: List[{'problem':'xx','content':'xx'}]
+    """
+    for item in result_tree:
+        print(item)
+        if item.get('state') == 'block':
+            result.append({'title': " ".join(parent_chain), 'content': item.get("content")})
+        children = item.get("children")
+        if children is not None and len(children) > 0:
+            result_tree_to_paragraph(children, result, [*parent_chain, item.get('content')])
+    return result
+
+
+def post_handler_paragraph(content: str, limit: int, with_filter: bool):
+    """
+       根据文本的最大字符分段
+       :param with_filter: 是否过滤特殊字符
+       :param content: 需要分段的文本字段
+       :param limit:   最大分段字符
+       :return: 分段后数据
+       """
+    split_list = content.split('\n')
+    result = []
+    temp_char = ''
+    for split in split_list:
+        if len(temp_char + split) > limit:
+            result.append(temp_char)
+            temp_char = ''
+        temp_char = temp_char + split
+    if len(temp_char) > 0:
+        result.append(temp_char)
+    pattern = "[\\S\\s]{1," + str(limit) + '}'
+    # 如果\n 单段超过限制,则继续拆分
+    s = list(map(lambda row: filter_special_char(row) if with_filter else row, list(
+        reduce(lambda x, y: [*x, *y], list(map(lambda row: list(re.findall(pattern, row)), result)), []))))
+    return s
+
+
+replace_map = {
+    re.compile('\n+'): '\n',
+    re.compile('\\s+'): ' ',
+    re.compile('#+'): "",
+    re.compile("\t+"): ''
+}
+
+
+def filter_special_char(content: str):
+    """
+    过滤特殊字段
+    :param content: 文本
+    :return: 过滤后字段
+    """
+    items = replace_map.items()
+    for key, value in items:
+        content = re.sub(key, value, content)
+    return content
+
+
 class SplitModel:
 
-    def __init__(self, content_level_pattern):
+    def __init__(self, content_level_pattern, with_filter=True, limit=1024):
         self.content_level_pattern = content_level_pattern
+        self.with_filter = with_filter
+        if limit is None or limit > 1024:
+            limit = 1024
+        if limit < 50:
+            limit = 50
+        self.limit = limit
 
     def parse_to_tree(self, text: str, index=0):
         """
@@ -208,23 +296,27 @@ class SplitModel:
         """
         if len(self.content_level_pattern) == index:
             return
-        level_content_list = parse_level(text, pattern=self.content_level_pattern[index])
+        level_content_list = parse_title_level(text, self.content_level_pattern, index)
         for i in range(len(level_content_list)):
             block = get_level_block(text, level_content_list, i)
-            children = self.parse_to_tree(text=block.replace(level_content_list[i]['content'][:-1], ""),
+            children = self.parse_to_tree(text=block,
                                           index=index + 1)
             if children is not None and len(children) > 0:
                 level_content_list[i]['children'] = children
             else:
                 if len(block) > 0:
-                    level_content_list[i]['children'] = [to_tree_obj(block, 'block')]
+                    level_content_list[i]['children'] = list(
+                        map(lambda row: to_tree_obj(row, 'block'),
+                            post_handler_paragraph(block, with_filter=self.with_filter, limit=self.limit)))
         if len(level_content_list) > 0:
             end_index = text.index(level_content_list[0].get('content'))
             if end_index == 0:
                 return level_content_list
             other_content = text[0:end_index]
             if len(other_content.strip()) > 0:
-                level_content_list.append(to_tree_obj(other_content, 'block'))
+                level_content_list = [*level_content_list, *list(
+                    map(lambda row: to_tree_obj(row, 'block'),
+                        post_handler_paragraph(other_content, with_filter=self.with_filter, limit=self.limit)))]
         return level_content_list
 
     def parse(self, text: str):
@@ -234,4 +326,35 @@ class SplitModel:
         :return: 解析后数据 {content:段落数据,keywords:[‘段落关键词’],parent_chain:['段落父级链路']}
         """
         result_tree = self.parse_to_tree(text, 0)
-        return flat_map(to_block_paragraph(result_tree))
+        return result_tree_to_paragraph(result_tree, [], [])
+
+
+split_model_map = {
+    'md': SplitModel(
+        [re.compile("^# .*"), re.compile('(?<!#)## (?!#).*'), re.compile("(?<!#)### (?!#).*"),
+         re.compile("(?<!#)####(?!#).*"), re.compile("(?<!#)#####(?!#).*"),
+         re.compile("(?<!#)#####(?!#).*"),
+         re.compile("(?<! )- .*")]),
+    'default': SplitModel([re.compile("(?<!\n)\n\n.+")])
+}
+
+
+def get_split_model(filename: str):
+    """
+    根据文件名称获取分段模型
+    :param filename: 文件名称
+    :return: 分段模型
+    """
+    if filename.endswith(".md"):
+        return split_model_map.get('md')
+    return split_model_map.get("default")
+
+
+def to_title_tree_string(result_tree: List):
+    f = flat(result_tree, [], [])
+    return "\n│".join(list(map(lambda r: title_tostring(r), list(filter(lambda row: row.get('state') == 'title', f)))))
+
+
+def title_tostring(title_obj):
+    f = "│ ".join(list(map(lambda index: " ", range(0, len(title_obj.get("parent_chain"))))))
+    return f + "├───" + title_obj.get('content')

apps/dataset/migrations/0001_initial.py

@@ -1,4 +1,4 @@
-# Generated by Django 4.1.10 on 2023-10-09 06:33
+# Generated by Django 4.1.10 on 2023-10-24 12:13
 
 from django.db import migrations, models
 import django.db.models.deletion
@@ -36,6 +36,7 @@ class Migration(migrations.Migration):
                 ('id', models.UUIDField(default=uuid.uuid1, editable=False, primary_key=True, serialize=False, verbose_name='主键id')),
                 ('name', models.CharField(max_length=150, verbose_name='文档名称')),
                 ('char_length', models.IntegerField(verbose_name='文档字符数 冗余字段')),
+                ('status', models.CharField(choices=[('0', '导入中'), ('1', '已完成'), ('2', '导入失败')], default='0', max_length=1, verbose_name='状态')),
                 ('is_active', models.BooleanField(default=True)),
                 ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.dataset')),
             ],
@@ -50,11 +51,14 @@ class Migration(migrations.Migration):
                 ('update_time', models.DateTimeField(auto_now=True, verbose_name='修改时间')),
                 ('id', models.UUIDField(default=uuid.uuid1, editable=False, primary_key=True, serialize=False, verbose_name='主键id')),
                 ('content', models.CharField(max_length=1024, verbose_name='段落内容')),
+                ('title', models.CharField(default='', max_length=256, verbose_name='标题')),
                 ('hit_num', models.IntegerField(default=0, verbose_name='命中数量')),
                 ('star_num', models.IntegerField(default=0, verbose_name='点赞数')),
                 ('trample_num', models.IntegerField(default=0, verbose_name='点踩数')),
+                ('status', models.CharField(choices=[('0', '导入中'), ('1', '已完成'), ('2', '导入失败')], default='0', max_length=1, verbose_name='状态')),
                 ('is_active', models.BooleanField(default=True)),
-                ('document', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.document')),
+                ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.dataset')),
+                ('document', models.ForeignKey(db_constraint=False, on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.document')),
             ],
             options={
                 'db_table': 'paragraph',
@@ -67,25 +71,15 @@ class Migration(migrations.Migration):
                 ('update_time', models.DateTimeField(auto_now=True, verbose_name='修改时间')),
                 ('id', models.UUIDField(default=uuid.uuid1, editable=False, primary_key=True, serialize=False, verbose_name='主键id')),
                 ('content', models.CharField(max_length=256, verbose_name='问题内容')),
+                ('hit_num', models.IntegerField(default=0, verbose_name='命中数量')),
+                ('star_num', models.IntegerField(default=0, verbose_name='点赞数')),
+                ('trample_num', models.IntegerField(default=0, verbose_name='点踩数')),
+                ('dataset', models.ForeignKey(db_constraint=False, on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.dataset')),
+                ('document', models.ForeignKey(db_constraint=False, on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.document')),
+                ('paragraph', models.ForeignKey(db_constraint=False, on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.paragraph')),
             ],
             options={
                 'db_table': 'problem',
             },
         ),
-        migrations.CreateModel(
-            name='ProblemAnswerMapping',
-            fields=[
-                ('create_time', models.DateTimeField(auto_now_add=True, verbose_name='创建时间')),
-                ('update_time', models.DateTimeField(auto_now=True, verbose_name='修改时间')),
-                ('id', models.UUIDField(default=uuid.uuid1, editable=False, primary_key=True, serialize=False, verbose_name='主键id')),
-                ('hit_num', models.IntegerField(default=0, verbose_name='命中数量')),
-                ('star_num', models.IntegerField(default=0, verbose_name='点赞数')),
-                ('trample_num', models.IntegerField(default=0, verbose_name='点踩数')),
-                ('paragraph', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.paragraph')),
-                ('problem', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.problem')),
-            ],
-            options={
-                'db_table': 'problem_paragraph_mapping',
-            },
-        ),
     ]

apps/dataset/models/data_set.py

@@ -14,6 +14,13 @@ from common.mixins.app_model_mixin import AppModelMixin
 from users.models import User
 
 
+class Status(models.TextChoices):
+    """订单类型"""
+    embedding = 0, '导入中'
+    success = 1, '已完成'
+    error = 2, '导入失败'
+
+
 class DataSet(AppModelMixin):
     """
     数据集表
@@ -35,6 +42,8 @@ class Document(AppModelMixin):
     dataset = models.ForeignKey(DataSet, on_delete=models.DO_NOTHING)
     name = models.CharField(max_length=150, verbose_name="文档名称")
     char_length = models.IntegerField(verbose_name="文档字符数 冗余字段")
+    status = models.CharField(verbose_name='状态', max_length=1, choices=Status.choices,
+                              default=Status.embedding)
     is_active = models.BooleanField(default=True)
 
     class Meta:
@@ -46,11 +55,15 @@ class Paragraph(AppModelMixin):
     段落表
     """
     id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
-    document = models.ForeignKey(Document, on_delete=models.DO_NOTHING)
+    document = models.ForeignKey(Document, on_delete=models.DO_NOTHING, db_constraint=False)
+    dataset = models.ForeignKey(DataSet, on_delete=models.DO_NOTHING)
     content = models.CharField(max_length=1024, verbose_name="段落内容")
+    title = models.CharField(max_length=256, verbose_name="标题", default="")
     hit_num = models.IntegerField(verbose_name="命中数量", default=0)
     star_num = models.IntegerField(verbose_name="点赞数", default=0)
     trample_num = models.IntegerField(verbose_name="点踩数", default=0)
+    status = models.CharField(verbose_name='状态', max_length=1, choices=Status.choices,
+                              default=Status.embedding)
     is_active = models.BooleanField(default=True)
 
     class Meta:
@@ -62,23 +75,13 @@ class Problem(AppModelMixin):
     问题表
     """
     id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
+    document = models.ForeignKey(Document, on_delete=models.DO_NOTHING, db_constraint=False)
+    dataset = models.ForeignKey(DataSet, on_delete=models.DO_NOTHING, db_constraint=False)
+    paragraph = models.ForeignKey(Paragraph, on_delete=models.DO_NOTHING, db_constraint=False)
     content = models.CharField(max_length=256, verbose_name="问题内容")
-
-    class Meta:
-        db_table = "problem"
-
-
-class ProblemAnswerMapping(AppModelMixin):
-    """
-    问题 段落 映射表
-    """
-    id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
-    paragraph = models.ForeignKey(Paragraph, on_delete=models.DO_NOTHING)
-    problem = models.ForeignKey(Problem, on_delete=models.DO_NOTHING)
     hit_num = models.IntegerField(verbose_name="命中数量", default=0)
     star_num = models.IntegerField(verbose_name="点赞数", default=0)
     trample_num = models.IntegerField(verbose_name="点踩数", default=0)
 
     class Meta:
-        db_table = "problem_paragraph_mapping"
+        db_table = "problem"
-

apps/dataset/serializers/dataset_serializers.py

@@ -8,7 +8,6 @@
 """
 import os.path
 import uuid
-from functools import reduce
 from typing import Dict
 
 from django.contrib.postgres.fields import ArrayField
@@ -19,11 +18,12 @@ from drf_yasg import openapi
 from rest_framework import serializers
 
 from common.db.search import get_dynamics_model, native_page_search, native_search
+from common.event.listener_manage import ListenerManagement
 from common.exception.app_exception import AppApiException
 from common.mixins.api_mixin import ApiMixin
 from common.util.file_util import get_file_content
-from dataset.models.data_set import DataSet, Document, Paragraph
+from dataset.models.data_set import DataSet, Document, Paragraph, Problem
-from dataset.serializers.document_serializers import CreateDocumentSerializers
+from dataset.serializers.document_serializers import DocumentSerializers, DocumentInstanceSerializer
 from setting.models import AuthOperate
 from smartdoc.conf import PROJECT_DIR
 from users.models import User
@@ -81,12 +81,12 @@ class DataSetSerializers(serializers.ModelSerializer):
             user_id = self.data.get("user_id")
             query_set_dict = {}
             query_set = QuerySet(model=get_dynamics_model(
-                {'dataset.name': models.CharField(), 'dataset.desc': models.CharField(),
+                {'temp.name': models.CharField(), 'temp.desc': models.CharField(),
                  "document_temp.char_length": models.IntegerField()}))
-            if "desc" in self.data:
+            if "desc" in self.data and self.data.get('desc') is not None:
-                query_set = query_set.filter(**{'dataset.desc__contains': self.data.get("desc")})
+                query_set = query_set.filter(**{'temp.desc__contains': self.data.get("desc")})
-            if "name" in self.data:
+            if "name" in self.data and self.data.get('name') is not None:
-                query_set = query_set.filter(**{'dataset.name__contains': self.data.get("name")})
+                query_set = query_set.filter(**{'temp.name__contains': self.data.get("name")})
 
             query_set_dict['default_sql'] = query_set
 
@@ -133,9 +133,7 @@ class DataSetSerializers(serializers.ModelSerializer):
 
         @staticmethod
         def get_response_body_api():
-            return openapi.Schema(type=openapi.TYPE_ARRAY,
+            return DataSetSerializers.Operate.get_response_body_api()
-                                  title="数据集列表", description="数据集列表",
-                                  items=DataSetSerializers.Operate.get_response_body_api())
 
     class Create(ApiMixin, serializers.Serializer):
         """
@@ -157,7 +155,7 @@ class DataSetSerializers(serializers.ModelSerializer):
                                                                        message="数据集名称在1-256个字符之间")
                                      ])
 
-        documents = CreateDocumentSerializers(required=False, many=True)
+        documents = DocumentInstanceSerializer(required=False, many=True)
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
@@ -168,28 +166,46 @@ class DataSetSerializers(serializers.ModelSerializer):
             dataset_id = uuid.uuid1()
             dataset = DataSet(
                 **{'id': dataset_id, 'name': self.data.get("name"), 'desc': self.data.get('desc'), 'user': user})
-            document_model_list = []
-            paragraph_model_list = []
-            if 'documents' in self.data:
-                documents = self.data.get('documents')
-                for document in documents:
-                    document_model = Document(**{'dataset': dataset, 'id': uuid.uuid1(), 'name': document.get('name'),
-                                                 'char_length': reduce(lambda x, y: x + y,
-                                                                       list(
-                                                                           map(lambda p: len(p),
-                                                                               document.get("paragraphs"))), 0)})
-                    document_model_list.append(document_model)
-                    if 'paragraphs' in document:
-                        paragraph_model_list += list(map(lambda p: Paragraph(
-                            **{'document': document_model, 'id': uuid.uuid1(), 'content': p}),
-                                                         document.get('paragraphs')))
             # 插入数据集
             dataset.save()
-            # 插入文档
+            for document in self.data.get('documents') if 'documents' in self.data else []:
-            QuerySet(Document).bulk_create(document_model_list) if len(document_model_list) > 0 else None
+                DocumentSerializers.Create(data={'dataset_id': dataset_id}).save(document, with_valid=True,
-            # 插入段落
+                                                                                 with_embedding=False)
-            QuerySet(Paragraph).bulk_create(paragraph_model_list) if len(paragraph_model_list) > 0 else None
+            ListenerManagement.embedding_by_dataset_signal.send(str(dataset.id))
-            return True
+            return {**DataSetSerializers(dataset).data,
+                    'document_list': DocumentSerializers.Query(data={'dataset_id': dataset_id}).list(with_valid=True)}
+
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                required=['id', 'name', 'desc', 'user_id', 'char_length', 'document_count',
+                          'update_time', 'create_time', 'document_list'],
+                properties={
+                    'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
+                                         description="id", default="xx"),
+                    'name': openapi.Schema(type=openapi.TYPE_STRING, title="名称",
+                                           description="名称", default="测试数据集"),
+                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title="描述",
+                                           description="描述", default="测试数据集描述"),
+                    'user_id': openapi.Schema(type=openapi.TYPE_STRING, title="所属用户id",
+                                              description="所属用户id", default="user_xxxx"),
+                    'char_length': openapi.Schema(type=openapi.TYPE_STRING, title="字符数",
+                                                  description="字符数", default=10),
+                    'document_count': openapi.Schema(type=openapi.TYPE_STRING, title="文档数量",
+                                                     description="文档数量", default=1),
+                    'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
+                                                  description="修改时间",
+                                                  default="1970-01-01 00:00:00"),
+                    'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
+                                                  description="创建时间",
+                                                  default="1970-01-01 00:00:00"
+                                                  ),
+                    'document_list': openapi.Schema(type=openapi.TYPE_ARRAY, title="文档列表",
+                                                    description="文档列表",
+                                                    items=DocumentSerializers.Operate.get_response_body_api())
+                }
+            )
 
         @staticmethod
         def get_request_body_api():
@@ -200,7 +216,7 @@ class DataSetSerializers(serializers.ModelSerializer):
                     'name': openapi.Schema(type=openapi.TYPE_STRING, title="数据集名称", description="数据集名称"),
                     'desc': openapi.Schema(type=openapi.TYPE_STRING, title="数据集描述", description="数据集描述"),
                     'documents': openapi.Schema(type=openapi.TYPE_ARRAY, title="文档数据", description="文档数据",
-                                                items=CreateDocumentSerializers().get_request_body_api()
+                                                items=DocumentSerializers().Create.get_request_body_api()
                                                 )
                 }
             )
@@ -217,10 +233,11 @@ class DataSetSerializers(serializers.ModelSerializer):
         def delete(self):
             self.is_valid()
             dataset = QuerySet(DataSet).get(id=self.data.get("id"))
-            document_list = QuerySet(Document).filter(dataset=dataset)
+            QuerySet(Document).filter(dataset=dataset).delete()
-            QuerySet(Paragraph).filter(document__in=document_list).delete()
+            QuerySet(Paragraph).filter(dataset=dataset).delete()
-            document_list.delete()
+            QuerySet(Problem).filter(dataset=dataset).delete()
             dataset.delete()
+            ListenerManagement.delete_embedding_by_dataset_signal.send(self.data.get('id'))
             return True
 
         def one(self, user_id, with_valid=True):
@@ -303,9 +320,9 @@ class DataSetSerializers(serializers.ModelSerializer):
 
         @staticmethod
         def get_request_params_api():
-            return [openapi.Parameter(name='id',
+            return [openapi.Parameter(name='dataset_id',
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
-                                      required=False,
+                                      required=True,
                                       description='数据集id')
                     ]

apps/dataset/serializers/document_serializers.py

@@ -6,20 +6,29 @@
     @date：2023/9/22 13:43
     @desc:
 """
+import os
 import uuid
 from functools import reduce
+from typing import List, Dict
 
 from django.core import validators
+from django.db import transaction
 from django.db.models import QuerySet
 from drf_yasg import openapi
 from rest_framework import serializers
 
+from common.db.search import native_search, native_page_search
+from common.event.listener_manage import ListenerManagement
 from common.exception.app_exception import AppApiException
 from common.mixins.api_mixin import ApiMixin
-from dataset.models.data_set import DataSet, Document, Paragraph
+from common.util.file_util import get_file_content
+from common.util.split_model import SplitModel, get_split_model
+from dataset.models.data_set import DataSet, Document, Paragraph, Problem
+from dataset.serializers.paragraph_serializers import ParagraphSerializers, ParagraphInstanceSerializer
+from smartdoc.conf import PROJECT_DIR
 
 
-class CreateDocumentSerializers(ApiMixin, serializers.Serializer):
+class DocumentInstanceSerializer(ApiMixin, serializers.Serializer):
     name = serializers.CharField(required=True,
                                  validators=[
                                      validators.MaxLengthValidator(limit_value=128,
@@ -28,52 +37,265 @@ class CreateDocumentSerializers(ApiMixin, serializers.Serializer):
                                                                    message="数据集名称在1-128个字符之间")
                                  ])
 
-    paragraphs = serializers.ListField(required=False,
+    paragraphs = ParagraphInstanceSerializer(required=False, many=True)
-                                       child=serializers.CharField(required=True,
-                                                                   validators=[
-                                                                       validators.MaxLengthValidator(limit_value=256,
-                                                                                                     message="段落在1-256个字符之间"),
-                                                                       validators.MinLengthValidator(limit_value=1,
-                                                                                                     message="段落在1-256个字符之间")
-                                                                   ]))
 
-    def is_valid(self, *, dataset_id=None, raise_exception=False):
+    @staticmethod
-        if not QuerySet(DataSet).filter(id=dataset_id).exists():
+    def get_request_body_api():
-            raise AppApiException(10000, "数据集id不存在")
-        return super().is_valid(raise_exception=True)
-
-    def save(self, dataset_id: str, **kwargs):
-        document_model = Document(
-            **{'dataset': DataSet(id=dataset_id),
-               'id': uuid.uuid1(),
-               'name': self.data.get('name'),
-               'char_length': reduce(lambda x, y: x + y, list(map(lambda p: len(p), self.data.get("paragraphs"))), 0)})
-
-        paragraph_model_list = list(map(lambda p: Paragraph(
-            **{'document': document_model, 'id': uuid.uuid1(), 'content': p}),
-                                        self.data.get('paragraphs')))
-
-        # 插入文档
-        document_model.save()
-        # 插入段落
-        QuerySet(Paragraph).bulk_create(paragraph_model_list) if len(paragraph_model_list) > 0 else None
-        return True
-
-    def get_request_body_api(self):
         return openapi.Schema(
             type=openapi.TYPE_OBJECT,
-            required=['name', 'paragraph'],
+            required=['name', 'paragraphs'],
             properties={
                 'name': openapi.Schema(type=openapi.TYPE_STRING, title="文档名称", description="文档名称"),
                 'paragraphs': openapi.Schema(type=openapi.TYPE_ARRAY, title="段落列表", description="段落列表",
-                                             items=openapi.Schema(type=openapi.TYPE_STRING, title="段落数据",
+                                             items=ParagraphSerializers.Create.get_request_body_api())
-                                                                  description="段落数据"))
             }
         )
 
-    def get_request_params_api(self):
+
-        return [openapi.Parameter(name='dataset_id',
+class DocumentSerializers(ApiMixin, serializers.Serializer):
-                                  in_=openapi.IN_PATH,
+    class Query(ApiMixin, serializers.Serializer):
-                                  type=openapi.TYPE_STRING,
+        # 数据集id
+        dataset_id = serializers.UUIDField(required=True)
+
+        name = serializers.CharField(required=False,
+                                     validators=[
+                                         validators.MaxLengthValidator(limit_value=128,
+                                                                       message="文档名称在1-128个字符之间"),
+                                         validators.MinLengthValidator(limit_value=1,
+                                                                       message="数据集名称在1-128个字符之间")
+                                     ])
+
+        def get_query_set(self):
+            query_set = QuerySet(model=Document)
+            query_set = query_set.filter(**{'dataset_id': self.data.get("dataset_id")})
+            if 'name' in self.data and self.data.get('name') is not None:
+                query_set = query_set.filter(**{'name__contains': self.data.get('name')})
+            return query_set
+
+        def list(self, with_valid=False):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+            query_set = self.get_query_set()
+            return native_search(query_set, select_string=get_file_content(
+                os.path.join(PROJECT_DIR, "apps", "dataset", 'sql', 'list_document.sql')))
+
+        def page(self, current_page, page_size):
+            query_set = self.get_query_set()
+            return native_page_search(current_page, page_size, query_set, select_string=get_file_content(
+                os.path.join(PROJECT_DIR, "apps", "dataset", 'sql', 'list_document.sql')))
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='name',
+                                      in_=openapi.IN_QUERY,
+                                      type=openapi.TYPE_STRING,
+                                      required=False,
+                                      description='文档名称')]
+
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(type=openapi.TYPE_ARRAY,
+                                  title="文档列表", description="文档列表",
+                                  items=DocumentSerializers.Operate.get_response_body_api())
+
+    class Operate(ApiMixin, serializers.Serializer):
+        document_id = serializers.UUIDField(required=True)
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='dataset_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='数据集id'),
+                    openapi.Parameter(name='document_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='文档id')
+                    ]
+
+        def is_valid(self, *, raise_exception=False):
+            super().is_valid(raise_exception=True)
+            document_id = self.data.get('document_id')
+            if not QuerySet(Document).filter(id=document_id).exists():
+                raise AppApiException(500, "文档id不存在")
+
+        def one(self, with_valid=False):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+            query_set = QuerySet(model=Document)
+            query_set = query_set.filter(**{'id': self.data.get("document_id")})
+            return native_search(query_set, select_string=get_file_content(
+                os.path.join(PROJECT_DIR, "apps", "dataset", 'sql', 'list_document.sql')), with_search_one=True)
+
+        def edit(self, instance: Dict, with_valid=False):
+            if with_valid:
+                self.is_valid()
+            _document = QuerySet(Document).get(id=self.data.get("document_id"))
+            update_keys = ['name', 'is_active']
+            for update_key in update_keys:
+                if update_key in instance and instance.get(update_key) is not None:
+                    _document.__setattr__(update_key, instance.get(update_key))
+            _document.save()
+            return self.one()
+
+        @transaction.atomic
+        def delete(self):
+            document_id = self.data.get("document_id")
+            QuerySet(model=Document).filter(id=document_id).delete()
+            # 删除段落
+            QuerySet(model=Paragraph).filter(document_id=document_id).delete()
+            # 删除问题
+            QuerySet(model=Problem).filter(document_id=document_id).delete()
+            # 删除向量库
+            ListenerManagement.delete_embedding_by_document_signal.send(document_id)
+            return True
+
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                required=['id', 'name', 'char_length', 'user_id', 'paragraph_count', 'is_active'
+                                                                                     'update_time', 'create_time'],
+                properties={
+                    'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
+                                         description="id", default="xx"),
+                    'name': openapi.Schema(type=openapi.TYPE_STRING, title="名称",
+                                           description="名称", default="测试数据集"),
+                    'char_length': openapi.Schema(type=openapi.TYPE_INTEGER, title="字符数",
+                                                  description="字符数", default=10),
+                    'user_id': openapi.Schema(type=openapi.TYPE_STRING, title="用户id", description="用户id"),
+                    'paragraph_count': openapi.Schema(type=openapi.TYPE_INTEGER, title="文档数量",
+                                                      description="文档数量", default=1),
+                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否可用",
+                                                description="是否可用", default=True),
+                    'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
+                                                  description="修改时间",
+                                                  default="1970-01-01 00:00:00"),
+                    'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
+                                                  description="创建时间",
+                                                  default="1970-01-01 00:00:00"
+                                                  )
+                }
+            )
+
+        @staticmethod
+        def get_request_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                properties={
+                    'name': openapi.Schema(type=openapi.TYPE_STRING, title="文档名称", description="文档名称"),
+                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否可用", description="是否可用"),
+                }
+            )
+
+    class Create(ApiMixin, serializers.Serializer):
+        dataset_id = serializers.UUIDField(required=True)
+
+        def is_valid(self, *, raise_exception=False):
+            super().is_valid(raise_exception=True)
+            if not QuerySet(DataSet).filter(id=self.data.get('dataset_id')).exists():
+                raise AppApiException(10000, "数据集id不存在")
+            return True
+
+        def save(self, instance: Dict, with_valid=False, with_embedding=True, **kwargs):
+            if with_valid:
+                DocumentInstanceSerializer(data=instance).is_valid()
+                self.is_valid(raise_exception=True)
+            dataset_id = self.data.get('dataset_id')
+
+            document_model = Document(
+                **{'dataset_id': dataset_id,
+                   'id': uuid.uuid1(),
+                   'name': instance.get('name'),
+                   'char_length': reduce(lambda x, y: x + y,
+                                         [len(p.get('content')) for p in instance.get('paragraphs', [])],
+                                         0)})
+            for paragraph in instance.get('paragraphs') if 'paragraphs' in instance else []:
+                ParagraphSerializers.Create(
+                    data={'dataset_id': dataset_id, 'document_id': str(document_model.id)}).save(paragraph,
+                                                                                                 with_valid=True,
+                                                                                                 with_embedding=False)
+            # 插入文档
+            document_model.save()
+            if with_embedding:
+                ListenerManagement.embedding_by_document_signal.send(str(document_model.id))
+            return DocumentSerializers.Operate(
+                data={'dataset_id': dataset_id, 'document_id': str(document_model.id)}).one(
+                with_valid=True)
+
+        @staticmethod
+        def get_request_body_api():
+            return DocumentInstanceSerializer.get_request_body_api()
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='dataset_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='数据集id')
+                    ]
+
+    class Split(ApiMixin, serializers.Serializer):
+        file = serializers.ListField(required=True)
+
+        limit = serializers.IntegerField(required=False)
+
+        patterns = serializers.ListField(required=False,
+                                         child=serializers.CharField(required=True))
+
+        with_filter = serializers.BooleanField(required=False)
+
+        def is_valid(self, *, raise_exception=True):
+            super().is_valid()
+            files = self.data.get('file')
+            for f in files:
+                if f.size > 1024 * 1024 * 10:
+                    raise AppApiException(500, "上传文件最大不能超过10m")
+
+        @staticmethod
+        def get_request_params_api():
+            return [
+                openapi.Parameter(name='file',
+                                  in_=openapi.IN_FORM,
+                                  type=openapi.TYPE_ARRAY,
+                                  items=openapi.Items(type=openapi.TYPE_FILE),
                                   required=True,
-                                  description='数据集id')]
+                                  description='上传文件'),
+                openapi.Parameter(name='limit',
+                                  in_=openapi.IN_FORM,
+                                  required=False,
+                                  type=openapi.TYPE_INTEGER, title="分段长度", description="分段长度"),
+                openapi.Parameter(name='patterns',
+                                  in_=openapi.IN_FORM,
+                                  required=False,
+                                  type=openapi.TYPE_ARRAY, items=openapi.Items(type=openapi.TYPE_STRING),
+                                  title="分段正则列表", description="分段正则列表"),
+                openapi.Parameter(name='with_filter',
+                                  in_=openapi.IN_FORM,
+                                  required=False,
+                                  type=openapi.TYPE_BOOLEAN, title="是否清除特殊字符", description="是否清除特殊字符"),
+            ]
+
+        def parse(self):
+            file_list = self.data.get("file")
+            return list(map(lambda f: file_to_paragraph(f, self.data.get("patterns"), self.data.get("with_filter"),
+                                                        self.data.get("limit")), file_list))
+
+
+def file_to_paragraph(file, pattern_list: List, with_filter, limit: int):
+    data = file.read()
+    if pattern_list is None or len(pattern_list) > 0:
+        split_model = SplitModel(pattern_list, with_filter, limit)
+    else:
+        split_model = get_split_model(file.name)
+    try:
+        content = data.decode('utf-8')
+    except BaseException as e:
+        return {'name': file.name,
+                'content': []}
+    return {'name': file.name,
+            'content': split_model.parse(content)
+            }

apps/dataset/serializers/paragraph_serializers.py

@@ -0,0 +1,278 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： paragraph_serializers.py
+    @date：2023/10/16 15:51
+    @desc:
+"""
+import uuid
+from typing import Dict
+
+from django.core import validators
+from django.db import transaction
+from django.db.models import QuerySet
+from drf_yasg import openapi
+from rest_framework import serializers
+
+from common.db.search import page_search
+from common.event.listener_manage import ListenerManagement
+from common.exception.app_exception import AppApiException
+from common.mixins.api_mixin import ApiMixin
+from dataset.models import Paragraph, Problem
+from dataset.serializers.problem_serializers import ProblemInstanceSerializer, ProblemSerializer
+
+
+class ParagraphSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Paragraph
+        fields = ['id', 'content', 'hit_num', 'star_num', 'trample_num', 'is_active', 'document_id', 'title',
+                  'create_time', 'update_time']
+
+
+class ParagraphInstanceSerializer(ApiMixin, serializers.Serializer):
+    """
+    段落实例对象
+    """
+    content = serializers.CharField(required=True, validators=[
+        validators.MaxLengthValidator(limit_value=1024,
+                                      message="段落在1-1024个字符之间"),
+        validators.MinLengthValidator(limit_value=1,
+                                      message="段落在1-1024个字符之间")
+    ])
+
+    title = serializers.CharField(required=False)
+
+    problem_list = ProblemInstanceSerializer(required=False, many=True)
+
+    is_active = serializers.BooleanField(required=False)
+
+    @staticmethod
+    def get_request_body_api():
+        return openapi.Schema(
+            type=openapi.TYPE_OBJECT,
+            required=['content'],
+            properties={
+                'content': openapi.Schema(type=openapi.TYPE_STRING, title="分段内容", description="分段内容"),
+
+                'title': openapi.Schema(type=openapi.TYPE_STRING, title="分段标题",
+                                        description="分段标题"),
+
+                'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否可用", description="是否可用"),
+
+                'problem_list': openapi.Schema(type=openapi.TYPE_ARRAY, title='问题列表',
+                                               description="问题列表",
+                                               items=ProblemInstanceSerializer.get_request_body_api())
+            }
+        )
+
+
+class ParagraphSerializers(ApiMixin, serializers.Serializer):
+    class Operate(ApiMixin, serializers.Serializer):
+        # 段落id
+        paragraph_id = serializers.UUIDField(required=True)
+        # 数据集id
+        dataset_id = serializers.UUIDField(required=True)
+        # 数据集id
+        document_id = serializers.UUIDField(required=True)
+
+        def is_valid(self, *, raise_exception=True):
+            super().is_valid(raise_exception=True)
+            if not QuerySet(Paragraph).filter(id=self.data.get('paragraph_id')).exists():
+                raise AppApiException(500, "段落id不存在")
+
+        @transaction.atomic
+        def edit(self, instance: Dict):
+            self.is_valid()
+            _paragraph = QuerySet(Paragraph).get(id=self.data.get("paragraph_id"))
+            update_keys = ['title', 'content', 'is_active']
+            for update_key in update_keys:
+                if update_key in instance and instance.get(update_key) is not None:
+                    _paragraph.__setattr__(update_key, instance.get(update_key))
+
+            if 'problem_list' in instance:
+                update_problem_list = list(
+                    filter(lambda row: 'id' in row and row.get('id') is not None, instance.get('problem_list')))
+
+                create_problem_list = list(filter(lambda row: row.get('id') is None, instance.get('problem_list')))
+
+                # 问题集合
+                problem_list = QuerySet(Problem).filter(paragraph_id=self.data.get("paragraph_id"))
+
+                # 校验前端 携带过来的id
+                for update_problem in update_problem_list:
+                    if not set([str(row.id) for row in problem_list]).__contains__(update_problem.get('id')):
+                        raise AppApiException(500, update_problem.get('id') + '问题id不存在')
+                # 对比需要删除的问题
+                delete_problem_list = list(filter(
+                    lambda row: not [str(update_row.get('id')) for update_row in update_problem_list].__contains__(
+                        str(row.id)), problem_list)) if len(update_problem_list) > 0 else []
+                # 删除问题
+                QuerySet(Problem).filter(id__in=[row.id for row in delete_problem_list]).delete() if len(
+                    delete_problem_list) > 0 else None
+                # 插入新的问题
+                QuerySet(Problem).bulk_create(
+                    [Problem(id=uuid.uuid1(), content=p.get('content'), paragraph_id=self.data.get('paragraph_id'),
+                             dataset_id=self.data.get('dataset_id'), document_id=self.data.get('document_id')) for
+                     p in create_problem_list]) if len(create_problem_list) else None
+
+                # 修改问题集合
+                QuerySet(Problem).bulk_update(
+                    [Problem(id=row.get('id'), content=row.get('content')) for row in update_problem_list],
+                    ['content']) if len(
+                    update_problem_list) > 0 else None
+
+            _paragraph.save()
+            if 'is_active' in instance and instance.get('is_active') is not None:
+                s = (ListenerManagement.enable_embedding_by_paragraph_signal if instance.get(
+                    'is_active') else ListenerManagement.disable_embedding_by_paragraph_signal)
+                s.send(self.data.get('paragraph_id'))
+            return self.one()
+
+        def get_problem_list(self):
+            return [ProblemSerializer(problem).data for problem in
+                    QuerySet(Problem).filter(paragraph_id=self.data.get("paragraph_id"))]
+
+        def one(self, with_valid=False):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+            return {**ParagraphSerializer(QuerySet(model=Paragraph).get(id=self.data.get('paragraph_id'))).data,
+                    'problem_list': self.get_problem_list()}
+
+        def delete(self, with_valid=False):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+            paragraph_id = self.data.get('paragraph_id')
+            QuerySet(Paragraph).filter(id=paragraph_id).delete()
+            QuerySet(Problem).filter(paragraph_id=paragraph_id).delete()
+            ListenerManagement.delete_embedding_by_paragraph_signal.send(paragraph_id)
+
+        @staticmethod
+        def get_request_body_api():
+            return ParagraphInstanceSerializer.get_request_body_api()
+
+        @staticmethod
+        def get_response_body_api():
+            return ParagraphInstanceSerializer.get_request_body_api()
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(type=openapi.TYPE_STRING, in_=openapi.IN_PATH, name='paragraph_id',
+                                      description="段落id")]
+
+    class Create(ApiMixin, serializers.Serializer):
+        dataset_id = serializers.UUIDField(required=True)
+
+        document_id = serializers.UUIDField(required=True)
+
+        def save(self, instance: Dict, with_valid=True, with_embedding=True):
+            if with_valid:
+                ParagraphSerializers(data=instance).is_valid(raise_exception=True)
+                self.is_valid()
+            dataset_id = self.data.get("dataset_id")
+            document_id = self.data.get('document_id')
+
+            paragraph = Paragraph(id=uuid.uuid1(),
+                                  document_id=document_id,
+                                  content=instance.get("content"),
+                                  dataset_id=dataset_id,
+                                  title=instance.get("title") if 'title' in instance else '')
+            # 插入段落
+            paragraph.save()
+            problem_model_list = [Problem(id=uuid.uuid1(), content=problem.get('content'), paragraph_id=paragraph.id,
+                                          document_id=document_id, dataset_id=dataset_id) for problem in (
+                                      instance.get('problem_list') if 'problem_list' in instance else [])]
+            # 插入問題
+            QuerySet(Problem).bulk_create(problem_model_list) if len(problem_model_list) > 0 else None
+            if with_embedding:
+                ListenerManagement.embedding_by_paragraph_signal.send(str(paragraph.id))
+            return ParagraphSerializers.Operate(
+                data={'paragraph_id': str(paragraph.id), 'dataset_id': dataset_id, 'document_id': document_id}).one(
+                with_valid=True)
+
+        @staticmethod
+        def get_request_body_api():
+            return ParagraphInstanceSerializer.get_request_body_api()
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='dataset_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='数据集id'),
+                    openapi.Parameter(name='document_id', in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description="文档id")
+                    ]
+
+    class Query(ApiMixin, serializers.Serializer):
+        dataset_id = serializers.UUIDField(required=True)
+
+        document_id = serializers.UUIDField(required=True)
+
+        title = serializers.CharField(required=False)
+
+        def get_query_set(self):
+            query_set = QuerySet(model=Paragraph)
+            query_set = query_set.filter(
+                **{'dataset_id': self.data.get('dataset_id'), 'document_id': self.data.get("document_id")})
+            if 'title' in self.data:
+                query_set = query_set.filter(
+                    **{'title__contains': self.data.get('title')})
+            return query_set
+
+        def list(self):
+            return list(map(lambda row: ParagraphSerializer(row).data, self.get_query_set()))
+
+        def page(self, current_page, page_size):
+            query_set = self.get_query_set()
+            return page_search(current_page, page_size, query_set, lambda row: ParagraphSerializer(row).data)
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='document_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='文档id'),
+                    openapi.Parameter(name='title',
+                                      in_=openapi.IN_QUERY,
+                                      type=openapi.TYPE_STRING,
+                                      required=False,
+                                      description='标题')
+                    ]
+
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                required=['id', 'content', 'hit_num', 'star_num', 'trample_num', 'is_active', 'document_id', 'title',
+                          'create_time', 'update_time'],
+                properties={
+                    'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
+                                         description="id", default="xx"),
+                    'content': openapi.Schema(type=openapi.TYPE_STRING, title="段落内容",
+                                              description="段落内容", default='段落内容'),
+                    'title': openapi.Schema(type=openapi.TYPE_STRING, title="标题",
+                                            description="标题", default="xxx的描述"),
+                    'hit_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="命中数量", description="命中数量",
+                                              default=1),
+                    'star_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点赞数量",
+                                               description="点赞数量", default=1),
+                    'trample_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点踩数量",
+                                                  description="点踩数", default=1),
+                    'document_id': openapi.Schema(type=openapi.TYPE_STRING, title="文档id",
+                                                  description="文档id", default='xxx'),
+                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否可用",
+                                                description="是否可用", default=True),
+                    'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
+                                                  description="修改时间",
+                                                  default="1970-01-01 00:00:00"),
+                    'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
+                                                  description="创建时间",
+                                                  default="1970-01-01 00:00:00"
+                                                  )
+                }
+            )

apps/dataset/serializers/problem_serializers.py

@@ -0,0 +1,222 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： problem_serializers.py
+    @date：2023/10/23 13:55
+    @desc:
+"""
+import uuid
+from typing import Dict
+
+from django.db.models import QuerySet
+from drf_yasg import openapi
+from rest_framework import serializers
+
+from common.event.listener_manage import ListenerManagement
+from common.exception.app_exception import AppApiException
+from common.mixins.api_mixin import ApiMixin
+from dataset.models import Problem, Paragraph
+from embedding.models import SourceType
+from embedding.vector.pg_vector import PGVector
+
+
+class ProblemSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Problem
+        fields = ['id', 'content', 'hit_num', 'star_num', 'trample_num', 'dataset_id', 'document_id',
+                  'create_time', 'update_time']
+
+
+class ProblemInstanceSerializer(ApiMixin, serializers.Serializer):
+    id = serializers.CharField(required=False)
+
+    content = serializers.CharField(required=True)
+
+    @staticmethod
+    def get_request_body_api():
+        return openapi.Schema(type=openapi.TYPE_OBJECT,
+                              required=["content"],
+                              properties={
+                                  'id': openapi.Schema(
+                                      type=openapi.TYPE_STRING,
+                                      title="问题id,修改的时候传递,创建的时候不传"),
+                                  'content': openapi.Schema(
+                                      type=openapi.TYPE_STRING, title="内容")
+                              })
+
+
+class ProblemSerializers(ApiMixin, serializers.Serializer):
+    class Create(ApiMixin, serializers.Serializer):
+        dataset_id = serializers.UUIDField(required=True)
+
+        document_id = serializers.UUIDField(required=True)
+
+        paragraph_id = serializers.UUIDField(required=True)
+
+        def save(self, instance: Dict, with_valid=True, with_embedding=True):
+            if with_valid:
+                self.is_valid()
+                ProblemInstanceSerializer(data=instance).is_valid(raise_exception=True)
+            problem = Problem(id=uuid.uuid1(), paragraph_id=self.data.get('paragraph_id'),
+                              document_id=self.data.get('document_id'), dataset_id=self.data.get('dataset_id'),
+                              content=instance.get('content'))
+            problem.save()
+            if with_embedding:
+                ListenerManagement.embedding_by_problem_signal.send({'text': problem.content,
+                                                                     'is_active': True,
+                                                                     'source_type': SourceType.PROBLEM,
+                                                                     'source_id': problem.id,
+                                                                     'document_id': self.data.get('document_id'),
+                                                                     'paragraph_id': self.data.get('paragraph_id'),
+                                                                     'dataset_id': self.data.get('dataset_id')})
+
+            return ProblemSerializers.Operate(
+                data={'dataset_id': self.data.get('dataset_id'), 'document_id': self.data.get('document_id'),
+                      'paragraph_id': self.data.get('paragraph_id'), 'problem_id': problem.id}).one(with_valid=True)
+
+        @staticmethod
+        def get_request_body_api():
+            return ProblemInstanceSerializer.get_request_body_api()
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='dataset_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='数据集id'),
+                    openapi.Parameter(name='document_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='文档id'),
+                    openapi.Parameter(name='paragraph_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='段落id')]
+
+    class Query(ApiMixin, serializers.Serializer):
+        dataset_id = serializers.UUIDField(required=True)
+
+        document_id = serializers.UUIDField(required=True)
+
+        paragraph_id = serializers.UUIDField(required=True)
+
+        def is_valid(self, *, raise_exception=True):
+            super().is_valid(raise_exception=True)
+            if not QuerySet(Paragraph).filter(id=self.data.get('paragraph_id')).exists():
+                raise AppApiException(500, "段落id不存在")
+
+        def get_query_set(self):
+            dataset_id = self.data.get('dataset_id')
+            document_id = self.data.get('document_id')
+            paragraph_id = self.data.get("paragraph_id")
+            return QuerySet(Problem).filter(
+                **{'paragraph_id': paragraph_id, 'dataset_id': dataset_id, 'document_id': document_id})
+
+        def list(self, with_valid=False):
+            """
+            获取问题列表
+            :param with_valid: 是否校验
+            :return: 问题列表
+            """
+            if with_valid:
+                self.is_valid(raise_exception=True)
+            query_set = self.get_query_set()
+            return [ProblemSerializer(p).data for p in query_set]
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='dataset_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='数据集id'),
+                    openapi.Parameter(name='document_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='文档id')
+                , openapi.Parameter(name='paragraph_id',
+                                    in_=openapi.IN_PATH,
+                                    type=openapi.TYPE_STRING,
+                                    required=True,
+                                    description='段落id')]
+
+    class Operate(ApiMixin, serializers.Serializer):
+        dataset_id = serializers.UUIDField(required=True)
+
+        document_id = serializers.UUIDField(required=True)
+
+        paragraph_id = serializers.UUIDField(required=True)
+
+        problem_id = serializers.UUIDField(required=True)
+
+        def delete(self, with_valid=False):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+            QuerySet(Problem).filter(**{'id': self.data.get('problem_id')}).delete()
+            PGVector().delete_by_source_id(self.data.get('problem_id'), SourceType.PROBLEM)
+            ListenerManagement.delete_embedding_by_source_signal.send(self.data.get('problem_id'))
+            return True
+
+        def one(self, with_valid=False):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+            return ProblemInstanceSerializer(QuerySet(Problem).get(**{'id': self.data.get('problem_id')})).data
+
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='dataset_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='数据集id'),
+                    openapi.Parameter(name='document_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='文档id')
+                , openapi.Parameter(name='paragraph_id',
+                                    in_=openapi.IN_PATH,
+                                    type=openapi.TYPE_STRING,
+                                    required=True,
+                                    description='段落id'),
+                    openapi.Parameter(name='problem_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description='问题id')
+                    ]
+
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                required=['id', 'content', 'hit_num', 'star_num', 'trample_num', 'dataset_id',
+                          'document_id',
+                          'create_time', 'update_time'],
+                properties={
+                    'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
+                                         description="id", default="xx"),
+                    'content': openapi.Schema(type=openapi.TYPE_STRING, title="问题内容",
+                                              description="问题内容", default='问题内容'),
+                    'hit_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="命中数量", description="命中数量",
+                                              default=1),
+                    'star_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点赞数量",
+                                               description="点赞数量", default=1),
+                    'trample_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点踩数量",
+                                                  description="点踩数", default=1),
+                    'document_id': openapi.Schema(type=openapi.TYPE_STRING, title="文档id",
+                                                  description="文档id", default='xxx'),
+                    'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
+                                                  description="修改时间",
+                                                  default="1970-01-01 00:00:00"),
+                    'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
+                                                  description="创建时间",
+                                                  default="1970-01-01 00:00:00"
+                                                  )
+                }
+            )

apps/dataset/sql/list_document.sql

@@ -0,0 +1,5 @@
+SELECT
+	"document".* ,
+	 (SELECT "count"("id") FROM "paragraph" WHERE document_id="document"."id") as "paragraph_count"
+FROM
+	"document" "document"

apps/dataset/sql/list_problem.sql

@@ -0,0 +1,10 @@
+SELECT
+		problem."id",
+		problem."content",
+		problem_paragraph_mapping.hit_num,
+		problem_paragraph_mapping.star_num,
+		problem_paragraph_mapping.trample_num,
+		problem_paragraph_mapping.paragraph_id
+	FROM
+		problem problem
+		LEFT JOIN problem_paragraph_mapping problem_paragraph_mapping ON problem."id" = problem_paragraph_mapping.problem_id

apps/dataset/urls.py

@@ -7,5 +7,18 @@ urlpatterns = [
     path('dataset', views.Dataset.as_view(), name="dataset"),
     path('dataset/<str:dataset_id>', views.Dataset.Operate.as_view(), name="dataset_key"),
     path('dataset/<int:current_page>/<int:page_size>', views.Dataset.Page.as_view(), name="dataset"),
-    path('dataset/<str:dataset_id>/document', views.Document.as_view(), name='document')
+    path('dataset/<str:dataset_id>/document', views.Document.as_view(), name='document'),
+    path('dataset/<str:dataset_id>/document/<str:document_id>', views.Document.Operate.as_view(),
+         name="document_operate"),
+    path('dataset/document/split', views.Document.Split.as_view(),
+         name="document_operate"),
+    path('dataset/<str:dataset_id>/document/<str:document_id>/paragraph', views.Paragraph.as_view()),
+    path('dataset/<str:dataset_id>/document/<str:document_id>/paragraph/<int:current_page>/<int:page_size>',
+         views.Paragraph.Page.as_view(), name='paragraph_page'),
+    path('dataset/<str:dataset_id>/document/<str:document_id>/paragraph/<paragraph_id>',
+         views.Paragraph.Operate.as_view()),
+    path('dataset/<str:dataset_id>/document/<str:document_id>/paragraph/<str:paragraph_id>/problem',
+         views.Problem.as_view()),
+    path('dataset/<str:dataset_id>/document/<str:document_id>/paragraph/<str:paragraph_id>/problem/<str:problem_id>',
+         views.Problem.Operate.as_view())
 ]

apps/dataset/views/__init__.py

@@ -8,3 +8,5 @@
 """
 from .dataset import *
 from .document import *
+from .paragraph import *
+from .problem import *

apps/dataset/views/dataset.py

@@ -26,7 +26,7 @@ class Dataset(APIView):
     @swagger_auto_schema(operation_summary="获取数据集列表",
                          operation_id="获取数据集列表",
                          manual_parameters=DataSetSerializers.Query.get_request_params_api(),
-                         responses=get_api_response(DataSetSerializers.Query.get_response_body_api()))
+                         responses=result.get_api_array_response(DataSetSerializers.Query.get_response_body_api()))
     @has_permissions(PermissionConstants.DATASET_READ, compare=CompareConstants.AND)
     def get(self, request: Request):
         d = DataSetSerializers.Query(data={**request.query_params, 'user_id': str(request.user.id)})
@@ -36,19 +36,21 @@ class Dataset(APIView):
     @action(methods=['POST'], detail=False)
     @swagger_auto_schema(operation_summary="创建数据集",
                          operation_id="创建数据集",
-                         request_body=DataSetSerializers.Create.get_request_body_api())
+                         request_body=DataSetSerializers.Create.get_request_body_api(),
+                         responses=get_api_response(DataSetSerializers.Create.get_response_body_api()))
     @has_permissions(PermissionConstants.DATASET_CREATE, compare=CompareConstants.AND)
     def post(self, request: Request):
         s = DataSetSerializers.Create(data=request.data)
-        if s.is_valid():
+        s.is_valid(raise_exception=True)
-            s.save(request.user)
+        return result.success(s.save(request.user))
-        return result.success("ok")
 
     class Operate(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods="DELETE", detail=False)
-        @swagger_auto_schema(operation_summary="删除数据集", operation_id="删除数据集")
+        @swagger_auto_schema(operation_summary="删除数据集", operation_id="删除数据集",
+                             manual_parameters=DataSetSerializers.Operate.get_request_params_api(),
+                             responses=result.get_default_response())
         @has_permissions(lambda r, keywords: Permission(group=Group.DATASET, operate=Operate.MANAGE,
                                                         dynamic_tag=keywords.get('dataset_id')),
                          lambda r, k: Permission(group=Group.DATASET, operate=Operate.DELETE,
@@ -59,6 +61,7 @@ class Dataset(APIView):
 
         @action(methods="GET", detail=False)
         @swagger_auto_schema(operation_summary="查询数据集详情根据数据集id", operation_id="查询数据集详情根据数据集id",
+                             manual_parameters=DataSetSerializers.Operate.get_request_params_api(),
                              responses=get_api_response(DataSetSerializers.Operate.get_response_body_api()))
         @has_permissions(lambda r, keywords: Permission(group=Group.DATASET, operate=Operate.USE,
                                                         dynamic_tag=keywords.get('dataset_id')))
@@ -67,6 +70,7 @@ class Dataset(APIView):
 
         @action(methods="PUT", detail=False)
         @swagger_auto_schema(operation_summary="修改数据集信息", operation_id="修改数据集信息",
+                             manual_parameters=DataSetSerializers.Operate.get_request_params_api(),
                              request_body=DataSetSerializers.Operate.get_request_body_api(),
                              responses=get_api_response(DataSetSerializers.Operate.get_response_body_api()))
         @has_permissions(lambda r, keywords: Permission(group=Group.DATASET, operate=Operate.MANAGE,
@@ -84,8 +88,10 @@ class Dataset(APIView):
                              manual_parameters=get_page_request_params(
                                  DataSetSerializers.Query.get_request_params_api()),
                              responses=get_page_api_response(DataSetSerializers.Query.get_response_body_api()))
-        @has_permissions(PermissionConstants.USER_READ, compare=CompareConstants.AND)
+        @has_permissions(PermissionConstants.DATASET_READ, compare=CompareConstants.AND)
         def get(self, request: Request, current_page, page_size):
-            d = DataSetSerializers.Query(data={**request.query_params, 'user_id': str(request.user.id)})
+            d = DataSetSerializers.Query(
+                data={'name': request.query_params.get('name', None), 'desc': request.query_params.get("desc", None),
+                      'user_id': str(request.user.id)})
             d.is_valid()
             return result.success(d.page(current_page, page_size))

apps/dataset/views/document.py

@@ -9,13 +9,15 @@
 
 from drf_yasg.utils import swagger_auto_schema
 from rest_framework.decorators import action
+from rest_framework.parsers import MultiPartParser
 from rest_framework.views import APIView
 from rest_framework.views import Request
 
 from common.auth import TokenAuth, has_permissions
 from common.constants.permission_constants import Permission, Group, Operate, PermissionConstants
 from common.response import result
-from dataset.serializers.dataset_serializers import CreateDocumentSerializers
+from common.util.common import query_params_to_single_dict
+from dataset.serializers.document_serializers import DocumentSerializers
 
 
 class Document(APIView):
@@ -24,28 +26,102 @@ class Document(APIView):
     @action(methods=['POST'], detail=False)
     @swagger_auto_schema(operation_summary="创建文档",
                          operation_id="创建文档",
-                         request_body=CreateDocumentSerializers().get_request_body_api(),
+                         request_body=DocumentSerializers.Create.get_request_body_api(),
-                         manual_parameters=CreateDocumentSerializers().get_request_params_api())
+                         manual_parameters=DocumentSerializers.Create.get_request_params_api(),
-    @has_permissions(PermissionConstants.DATASET_CREATE)
+                         responses=result.get_api_response(DocumentSerializers.Operate.get_response_body_api()))
+    @has_permissions(
+        lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                dynamic_tag=k.get('dataset_id')))
     def post(self, request: Request, dataset_id: str):
-        d = CreateDocumentSerializers(data=request.data)
+        return result.success(
-        if d.is_valid(dataset_id=dataset_id):
+            DocumentSerializers.Create(data={'dataset_id': dataset_id}).save(request.data, with_valid=True))
-            d.save(dataset_id)
-        return result.success("ok")
-
-
-class DocumentDetails(APIView):
-    authentication_classes = [TokenAuth]
 
     @action(methods=['GET'], detail=False)
-    @swagger_auto_schema(operation_summary="获取文档详情",
+    @swagger_auto_schema(operation_summary="文档列表",
-                         operation_id="获取文档详情",
+                         operation_id="文档列表",
-                         request_body=CreateDocumentSerializers().get_request_body_api(),
+                         manual_parameters=DocumentSerializers.Query.get_request_params_api(),
-                         manual_parameters=CreateDocumentSerializers().get_request_params_api())
+                         responses=result.get_api_response(DocumentSerializers.Query.get_response_body_api()))
     @has_permissions(
-        lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE, dynamic_tag=k.get('dataset_id')))
+        lambda r, k: Permission(group=Group.DATASET, operate=Operate.USE,
+                                dynamic_tag=k.get('dataset_id')))
     def get(self, request: Request, dataset_id: str):
-        d = CreateDocumentSerializers(data=request.data)
+        d = DocumentSerializers.Query(
-        if d.is_valid(dataset_id=dataset_id):
+            data={**query_params_to_single_dict(request.query_params), 'dataset_id': dataset_id})
-            d.save(dataset_id)
+        d.is_valid(raise_exception=True)
-        return result.success("ok")
+        return result.success(d.list())
+
+    class Operate(APIView):
+        authentication_classes = [TokenAuth]
+
+        @action(methods=['GET'], detail=False)
+        @swagger_auto_schema(operation_summary="获取文档详情",
+                             operation_id="获取文档详情",
+                             manual_parameters=DocumentSerializers.Operate.get_request_params_api(),
+                             responses=result.get_api_response(DocumentSerializers.Operate.get_response_body_api()))
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.USE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def get(self, request: Request, dataset_id: str, document_id: str):
+            operate = DocumentSerializers.Operate(data={'document_id': document_id, 'dataset_id': dataset_id})
+            operate.is_valid(raise_exception=True)
+            return result.success(operate.one())
+
+        @action(methods=['PUT'], detail=False)
+        @swagger_auto_schema(operation_summary="修改文档",
+                             operation_id="修改文档",
+                             manual_parameters=DocumentSerializers.Operate.get_request_params_api(),
+                             request_body=DocumentSerializers.Operate.get_request_body_api(),
+                             responses=result.get_api_response(DocumentSerializers.Operate.get_response_body_api())
+                             )
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def put(self, request: Request, dataset_id: str, document_id: str):
+            return result.success(
+                DocumentSerializers.Operate(data={'document_id': document_id, 'dataset_id': dataset_id}).edit(
+                    request.data,
+                    with_valid=True))
+
+        @action(methods=['DELETE'], detail=False)
+        @swagger_auto_schema(operation_summary="删除文档",
+                             operation_id="删除文档",
+                             manual_parameters=DocumentSerializers.Operate.get_request_params_api(),
+                             responses=result.get_default_response())
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def delete(self, request: Request, dataset_id: str, document_id: str):
+            operate = DocumentSerializers.Operate(data={'document_id': document_id, 'dataset_id': dataset_id})
+            operate.is_valid(raise_exception=True)
+            return result.success(operate.delete())
+
+    class Split(APIView):
+        parser_classes = [MultiPartParser]
+
+        @action(methods=['POST'], detail=False)
+        @swagger_auto_schema(operation_summary="分段文档",
+                             operation_id="分段文档",
+                             manual_parameters=DocumentSerializers.Split.get_request_params_api())
+        def post(self, request: Request):
+            ds = DocumentSerializers.Split(
+                data={'file': request.FILES.getlist('file'),
+                      'patterns': request.data.getlist('patterns[]')})
+            ds.is_valid(raise_exception=True)
+            return result.success(ds.parse())
+
+    class Page(APIView):
+        authentication_classes = [TokenAuth]
+
+        @action(methods=['GET'], detail=False)
+        @swagger_auto_schema(operation_summary="获取数据集分页列表",
+                             operation_id="获取数据集分页列表",
+                             manual_parameters=DocumentSerializers.Query.get_request_params_api(),
+                             responses=result.get_page_api_response(DocumentSerializers.Query.get_response_body_api()))
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.USE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def get(self, request: Request, dataset_id: str, current_page, page_size):
+            d = DocumentSerializers.Query(
+                data={**query_params_to_single_dict(request.query_params), 'dataset_id': dataset_id})
+            d.is_valid(raise_exception=True)
+            return result.success(d.page(current_page, page_size))

apps/dataset/views/paragraph.py

@@ -0,0 +1,115 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： paragraph_serializers.py
+    @date：2023/10/16 15:51
+    @desc:
+"""
+from drf_yasg.utils import swagger_auto_schema
+from rest_framework.decorators import action
+from rest_framework.views import APIView
+from rest_framework.views import Request
+
+from common.auth import TokenAuth, has_permissions
+from common.constants.permission_constants import Permission, Group, Operate
+from common.response import result
+from common.util.common import query_params_to_single_dict
+from dataset.serializers.paragraph_serializers import ParagraphSerializers
+
+
+class Paragraph(APIView):
+    authentication_classes = [TokenAuth]
+
+    @action(methods=['GET'], detail=False)
+    @swagger_auto_schema(operation_summary="段落列表",
+                         operation_id="段落列表",
+                         manual_parameters=ParagraphSerializers.Query.get_request_params_api(),
+                         responses=result.get_api_array_response(ParagraphSerializers.Query.get_response_body_api()))
+    @has_permissions(
+        lambda r, k: Permission(group=Group.DATASET, operate=Operate.USE,
+                                dynamic_tag=k.get('dataset_id')))
+    def get(self, request: Request, dataset_id: str, document_id: str):
+        q = ParagraphSerializers.Query(
+            data={**query_params_to_single_dict(request.query_params), 'dataset_id': dataset_id,
+                  'document_id': document_id})
+        q.is_valid(raise_exception=True)
+        return result.success(q.list())
+
+    @action(methods=['POST'], detail=False)
+    @swagger_auto_schema(operation_summary="创建段落",
+                         operation_id="创建段落",
+                         manual_parameters=ParagraphSerializers.Create.get_request_params_api(),
+                         request_body=ParagraphSerializers.Create.get_request_body_api(),
+                         responses=result.get_api_response(ParagraphSerializers.Query.get_response_body_api()))
+    @has_permissions(
+        lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                dynamic_tag=k.get('dataset_id')))
+    def post(self, request: Request, dataset_id: str, document_id: str):
+        return result.success(
+            ParagraphSerializers.Create(data={'dataset_id': dataset_id, 'document_id': document_id}).save(request.data))
+
+    class Operate(APIView):
+        authentication_classes = [TokenAuth]
+
+        @action(methods=['UPDATE'], detail=False)
+        @swagger_auto_schema(operation_summary="修改段落数据",
+                             operation_id="修改段落数据",
+                             manual_parameters=ParagraphSerializers.Operate.get_request_params_api(),
+                             request_body=ParagraphSerializers.Operate.get_request_body_api(),
+                             responses=result.get_api_response(ParagraphSerializers.Operate.get_response_body_api()))
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def put(self, request: Request, dataset_id: str, document_id: str, paragraph_id: str):
+            o = ParagraphSerializers.Operate(
+                data={"paragraph_id": paragraph_id, 'dataset_id': dataset_id, 'document_id': document_id})
+            o.is_valid(raise_exception=True)
+            return result.success(o.edit(request.data))
+
+        @action(methods=['UPDATE'], detail=False)
+        @swagger_auto_schema(operation_summary="获取段落详情",
+                             operation_id="获取段落详情",
+                             manual_parameters=ParagraphSerializers.Operate.get_request_params_api(),
+                             responses=result.get_api_response(ParagraphSerializers.Operate.get_response_body_api()))
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.USE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def get(self, request: Request, dataset_id: str, document_id: str, paragraph_id: str):
+            o = ParagraphSerializers.Operate(
+                data={"dataset_id": dataset_id, 'document_id': document_id, "paragraph_id": paragraph_id})
+            o.is_valid(raise_exception=True)
+            return result.success(o.one())
+
+        @action(methods=['DELETE'], detail=False)
+        @swagger_auto_schema(operation_summary="删除段落",
+                             operation_id="删除段落",
+                             manual_parameters=ParagraphSerializers.Operate.get_request_params_api(),
+                             responses=result.get_default_response())
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def delete(self, request: Request, dataset_id: str, document_id: str, paragraph_id: str):
+            o = ParagraphSerializers.Operate(
+                data={"dataset_id": dataset_id, 'document_id': document_id, "paragraph_id": paragraph_id})
+            o.is_valid(raise_exception=True)
+            return result.success(o.delete())
+
+    class Page(APIView):
+        authentication_classes = [TokenAuth]
+
+        @action(methods=['GET'], detail=False)
+        @swagger_auto_schema(operation_summary="分页获取段落列表",
+                             operation_id="分页获取段落列表",
+                             manual_parameters=result.get_page_request_params(
+                                 ParagraphSerializers.Query.get_request_params_api()),
+                             responses=result.get_page_api_response(ParagraphSerializers.Query.get_response_body_api()))
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.USE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def get(self, request: Request, dataset_id: str, document_id: str, current_page, page_size):
+            d = ParagraphSerializers.Query(
+                data={**query_params_to_single_dict(request.query_params), 'dataset_id': dataset_id,
+                      'document_id': document_id})
+            d.is_valid(raise_exception=True)
+            return result.success(d.page(current_page, page_size))

apps/dataset/views/problem.py

@@ -0,0 +1,65 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： problem.py
+    @date：2023/10/23 13:54
+    @desc:
+"""
+from drf_yasg.utils import swagger_auto_schema
+from rest_framework.decorators import action
+from rest_framework.request import Request
+from rest_framework.views import APIView
+
+from common.auth import TokenAuth, has_permissions
+from common.constants.permission_constants import Permission, Group, Operate
+from common.response import result
+from dataset.serializers.problem_serializers import ProblemSerializers
+
+
+class Problem(APIView):
+    authentication_classes = [TokenAuth]
+
+    @action(methods=['POST'], detail=False)
+    @swagger_auto_schema(operation_summary="添加关联问题",
+                         operation_id="添加段落关联问题",
+                         manual_parameters=ProblemSerializers.Create.get_request_params_api(),
+                         request_body=ProblemSerializers.Create.get_request_body_api(),
+                         responses=result.get_api_response(ProblemSerializers.Operate.get_response_body_api()))
+    @has_permissions(
+        lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                dynamic_tag=k.get('dataset_id')))
+    def post(self, request: Request, dataset_id: str, document_id: str, paragraph_id: str):
+        return result.success(ProblemSerializers.Create(
+            data={"dataset_id": dataset_id, 'document_id': document_id, 'paragraph_id': paragraph_id}).save(
+            request.data, with_valid=True))
+
+    @action(methods=['GET'], detail=False)
+    @swagger_auto_schema(operation_summary="获取段落问题列表",
+                         operation_id="获取段落问题列表",
+                         manual_parameters=ProblemSerializers.Query.get_request_params_api(),
+                         responses=result.get_api_array_response(ProblemSerializers.Operate.get_response_body_api()))
+    @has_permissions(
+        lambda r, k: Permission(group=Group.DATASET, operate=Operate.USE,
+                                dynamic_tag=k.get('dataset_id')))
+    def get(self, request: Request, dataset_id: str, document_id: str, paragraph_id: str):
+        return result.success(ProblemSerializers.Query(
+            data={"dataset_id": dataset_id, 'document_id': document_id, 'paragraph_id': paragraph_id}).list(
+            with_valid=True))
+
+    class Operate(APIView):
+        authentication_classes = [TokenAuth]
+
+        @action(methods=['DELETE'], detail=False)
+        @swagger_auto_schema(operation_summary="删除段落问题",
+                             operation_id="删除段落问题",
+                             manual_parameters=ProblemSerializers.Query.get_request_params_api(),
+                             responses=result.get_default_response())
+        @has_permissions(
+            lambda r, k: Permission(group=Group.DATASET, operate=Operate.MANAGE,
+                                    dynamic_tag=k.get('dataset_id')))
+        def delete(self, request: Request, dataset_id: str, document_id: str, paragraph_id: str, problem_id: str):
+            o = ProblemSerializers.Operate(
+                data={'dataset_id': dataset_id, 'document_id': document_id, 'paragraph_id': paragraph_id,
+                      'problem_id': problem_id})
+            return result.success(o.delete(with_valid=True))

apps/embedding/migrations/0001_initial.py

@@ -1,4 +1,4 @@
-# Generated by Django 4.1.10 on 2023-10-09 06:33
+# Generated by Django 4.1.10 on 2023-10-24 12:13
 
 import common.field.vector_field
 from django.db import migrations, models
@@ -20,8 +20,11 @@ class Migration(migrations.Migration):
                 ('id', models.CharField(max_length=128, primary_key=True, serialize=False, verbose_name='主键id')),
                 ('source_id', models.CharField(max_length=128, verbose_name='资源id')),
                 ('source_type', models.CharField(choices=[('0', '问题'), ('1', '段落')], default='0', max_length=1, verbose_name='资源类型')),
+                ('is_active', models.BooleanField(default=True, max_length=1, verbose_name='是否可用')),
                 ('embedding', common.field.vector_field.VectorField(verbose_name='向量')),
-                ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.dataset', verbose_name='数据集关联')),
+                ('dataset', models.ForeignKey(db_constraint=False, on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.dataset', verbose_name='文档关联')),
+                ('document', models.ForeignKey(db_constraint=False, on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.document', verbose_name='文档关联')),
+                ('paragraph', models.ForeignKey(db_constraint=False, on_delete=django.db.models.deletion.DO_NOTHING, to='dataset.paragraph', verbose_name='段落关联')),
             ],
             options={
                 'db_table': 'embedding',

apps/embedding/models/embedding.py

@@ -9,7 +9,7 @@
 from django.db import models
 
 from common.field.vector_field import VectorField
-from dataset.models.data_set import DataSet
+from dataset.models.data_set import Document, Paragraph, DataSet
 
 
 class SourceType(models.TextChoices):
@@ -26,7 +26,13 @@ class Embedding(models.Model):
     source_type = models.CharField(verbose_name='资源类型', max_length=1, choices=SourceType.choices,
                                    default=SourceType.PROBLEM)
 
-    dataset = models.ForeignKey(DataSet, on_delete=models.DO_NOTHING, verbose_name="数据集关联")
+    is_active = models.BooleanField(verbose_name="是否可用", max_length=1, default=True)
+
+    dataset = models.ForeignKey(DataSet, on_delete=models.DO_NOTHING, verbose_name="文档关联", db_constraint=False)
+
+    document = models.ForeignKey(Document, on_delete=models.DO_NOTHING, verbose_name="文档关联", db_constraint=False)
+
+    paragraph = models.ForeignKey(Paragraph, on_delete=models.DO_NOTHING, verbose_name="段落关联", db_constraint=False)
 
     embedding = VectorField(verbose_name="向量")
 

apps/embedding/vector/base_vector.py

@@ -0,0 +1,117 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： base_vector.py
+    @date：2023/10/18 19:16
+    @desc:
+"""
+from abc import ABC, abstractmethod
+from typing import List, Dict
+
+from langchain.embeddings import HuggingFaceEmbeddings
+
+from common.config.embedding_config import EmbeddingModel
+from embedding.models import SourceType
+
+
+class BaseVectorStore(ABC):
+    vector_exists = False
+
+    @abstractmethod
+    def vector_is_create(self) -> bool:
+        """
+        判断向量库是否创建
+        :return: 是否创建向量库
+        """
+        pass
+
+    @abstractmethod
+    def vector_create(self):
+        """
+        创建 向量库
+        :return:
+        """
+        pass
+
+    def save_pre_handler(self):
+        """
+        插入前置处理器 主要是判断向量库是否创建
+        :return: True
+        """
+        if not BaseVectorStore.vector_exists:
+            if not self.vector_is_create():
+                self.vector_create()
+                BaseVectorStore.vector_exists = True
+        return True
+
+    def save(self, text, source_type: SourceType, dataset_id: str, document_id: str, paragraph_id: str, source_id: str,
+             is_active: bool,
+             embedding=None):
+        """
+        插入向量数据
+        :param source_id:  资源id
+        :param dataset_id: 数据集id
+        :param text: 文本
+        :param source_type: 资源类型
+        :param document_id: 文档id
+        :param is_active:   是否禁用
+        :param embedding:   向量化处理器
+        :param paragraph_id 段落id
+        :return:  bool
+        """
+        if embedding is None:
+            embedding = EmbeddingModel.get_embedding_model()
+        self.save_pre_handler()
+        self._save(text, source_type, dataset_id, document_id, paragraph_id, source_id, is_active, embedding)
+
+    def batch_save(self, data_list: List[Dict], embedding=None):
+        """
+        批量插入
+        :param data_list: 数据列表
+        :param embedding: 向量化处理器
+        :return: bool
+        """
+        if embedding is None:
+            embedding = EmbeddingModel.get_embedding_model()
+        self.save_pre_handler()
+        self._batch_save(data_list, embedding)
+        return True
+
+    @abstractmethod
+    def _save(self, text, source_type: SourceType, dataset_id: str, document_id: str, paragraph_id: str, source_id: str,
+              is_active: bool,
+              embedding: HuggingFaceEmbeddings):
+        pass
+
+    @abstractmethod
+    def _batch_save(self, text_list: List[Dict], embedding: HuggingFaceEmbeddings):
+        pass
+
+    @abstractmethod
+    def search(self, query_text, dataset_id_list: list[str], is_active: bool, embedding: HuggingFaceEmbeddings):
+        pass
+
+    @abstractmethod
+    def update_by_paragraph_id(self, paragraph_id: str, instance: Dict):
+        pass
+
+    @abstractmethod
+    def update_by_source_id(self, source_id: str, instance: Dict):
+        pass
+
+    @abstractmethod
+    def delete_by_dataset_id(self, dataset_id: str):
+        pass
+
+    @abstractmethod
+    def delete_by_document_id(self, document_id: str):
+        pass
+
+    @abstractmethod
+    def delete_by_source_id(self, source_id: str, source_type: str):
+        pass
+
+    @abstractmethod
+    def delete_by_paragraph_id(self, paragraph_id: str):
+        pass

apps/embedding/vector/pg_vector.py

@@ -0,0 +1,79 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： pg_vector.py
+    @date：2023/10/19 15:28
+    @desc:
+"""
+import uuid
+from typing import Dict, List
+
+from django.db.models import QuerySet
+from langchain.embeddings import HuggingFaceEmbeddings
+
+from embedding.models import Embedding, SourceType
+from embedding.vector.base_vector import BaseVectorStore
+
+
+class PGVector(BaseVectorStore):
+
+    def vector_is_create(self) -> bool:
+        # 项目启动默认是创建好的 不需要再创建
+        return True
+
+    def vector_create(self):
+        return True
+
+    def _save(self, text, source_type: SourceType, dataset_id: str, document_id: str, paragraph_id: str, source_id: str,
+              is_active: bool,
+              embedding: HuggingFaceEmbeddings):
+        text_embedding = embedding.embed_query(text)
+        embedding = Embedding(id=uuid.uuid1(),
+                              dataset_id=dataset_id,
+                              document_id=document_id,
+                              is_active=is_active,
+                              paragraph_id=paragraph_id,
+                              source_id=source_id,
+                              embedding=text_embedding,
+                              source_type=source_type,
+                              )
+        embedding.save()
+        return True
+
+    def _batch_save(self, text_list: List[Dict], embedding: HuggingFaceEmbeddings):
+        texts = [row.get('text') for row in text_list]
+        embeddings = embedding.embed_documents(texts)
+        QuerySet(Embedding).bulk_create([Embedding(id=uuid.uuid1(),
+                                                   document_id=text_list[index].get('document_id'),
+                                                   paragraph_id=text_list[index].get('paragraph_id'),
+                                                   dataset_id=text_list[index].get('dataset_id'),
+                                                   is_active=text_list[index].get('is_active', True),
+                                                   source_id=text_list[index].get('source_id'),
+                                                   source_type=text_list[index].get('source_type'),
+                                                   embedding=embeddings[index]) for index in
+                                         range(0, len(text_list))]) if len(text_list) > 0 else None
+        return True
+
+    def search(self, query_text, dataset_id_list: list[str], is_active: bool, embedding: HuggingFaceEmbeddings):
+        pass
+
+    def update_by_source_id(self, source_id: str, instance: Dict):
+        QuerySet(Embedding).filter(source_id=source_id).update(**instance)
+
+    def update_by_paragraph_id(self, paragraph_id: str, instance: Dict):
+        QuerySet(Embedding).filter(paragraph_id=paragraph_id).update(**instance)
+
+    def delete_by_dataset_id(self, dataset_id: str):
+        QuerySet(Embedding).filter(dataset_id=dataset_id).delete()
+
+    def delete_by_document_id(self, document_id: str):
+        QuerySet(Embedding).filter(document_id=document_id).delete()
+        return True
+
+    def delete_by_source_id(self, source_id: str, source_type: str):
+        QuerySet(Embedding).filter(source_id=source_id, source_type=source_type).delete()
+        return True
+
+    def delete_by_paragraph_id(self, paragraph_id: str):
+        QuerySet(Embedding).filter(paragraph_id=paragraph_id).delete()

apps/setting/migrations/0001_initial.py

@@ -1,4 +1,4 @@
-# Generated by Django 4.1.10 on 2023-10-09 06:33
+# Generated by Django 4.1.10 on 2023-10-24 12:13
 
 import django.contrib.postgres.fields
 from django.db import migrations, models

apps/smartdoc/conf.py

@@ -13,7 +13,7 @@ import os
 import re
 from importlib import import_module
 from urllib.parse import urljoin, urlparse
-
+import torch.backends
 import yaml
 
 BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
@@ -88,7 +88,14 @@ class Config(dict):
         "EMAIL_HOST": "",
         "EMAIL_PORT": 465,
         "EMAIL_HOST_USER": "",
-        "EMAIL_HOST_PASSWORD": ""
+        "EMAIL_HOST_PASSWORD": "",
+        # 向量模型
+        "EMBEDDING_MODEL_NAME": "shibing624/text2vec-base-chinese",
+        "EMBEDDING_DEVICE": "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu",
+        "EMBEDDING_MODEL_PATH": os.path.join(PROJECT_DIR, 'models'),
+        # 向量库配置
+        "VECTOR_STORE_NAME": 'pg_vector'
+
     }
 
     def get_db_setting(self) -> dict:
@@ -120,6 +127,8 @@ class ConfigManager:
     def __init__(self, root_path=None):
         self.root_path = root_path
         self.config = self.config_class()
+        for key in self.config_class.defaults:
+            self.config[key] = self.config_class.defaults[key]
 
     def from_mapping(self, *mapping, **kwargs):
         """Updates the config like :meth:`update` ignoring items with non-upper

apps/smartdoc/settings/logging.py

@@ -100,6 +100,11 @@ LOGGING = {
             'level': LOG_LEVEL,
             'propagate': False,
         },
+        'sqlalchemy': {
+            'handlers': ['console', 'file', 'syslog'],
+            'level': LOG_LEVEL,
+            'propagate': False,
+        },
         'django.db.backends': {
             'handlers': ['console', 'file', 'syslog'],
             'propagate': False,

apps/smartdoc/wsgi.py

@@ -14,3 +14,12 @@ from django.core.wsgi import get_wsgi_application
 os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'smartdoc.settings')
 
 application = get_wsgi_application()
+
+
+def post_handler():
+    from common.event.listener_manage import ListenerManagement
+    ListenerManagement().run()
+    ListenerManagement.init_embedding_model_signal.send()
+
+
+post_handler()

apps/users/apps.py

@@ -4,3 +4,4 @@ from django.apps import AppConfig
 class UsersConfig(AppConfig):
     default_auto_field = 'django.db.models.BigAutoField'
     name = 'users'
+

apps/users/migrations/0001_initial.py

@@ -1,4 +1,4 @@
-# Generated by Django 4.1.10 on 2023-10-09 06:33
+# Generated by Django 4.1.10 on 2023-10-24 12:13
 
 from django.db import migrations, models
 import uuid

apps/users/views/user.py

@@ -22,7 +22,7 @@ from common.constants.permission_constants import PermissionConstants, CompareCo
 from common.response import result
 from smartdoc.settings import JWT_AUTH
 from users.models.user import User as UserModel
-from users.serializers.user_serializers import RegisterSerializer, LoginSerializer, UserSerializer, CheckCodeSerializer, \
+from users.serializers.user_serializers import RegisterSerializer, LoginSerializer, CheckCodeSerializer, \
     RePasswordSerializer, \
     SendEmailSerializer, UserProfile
 

pyproject.toml

@@ -17,6 +17,12 @@ psycopg2-binary = "2.9.7"
 jieba = "^0.42.1"
 diskcache = "^5.6.3"
 pillow = "9.5.0"
+filetype = "^1.2.0"
+chardet = "^5.2.0"
+torch = "^2.1.0"
+sentence-transformers = "^2.2.2"
+blinker = "^1.6.3"
+
 
 [build-system]
 requires = ["poetry-core"]