import { CodeGroup } from '@/app/components/develop/code.tsx'
import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'

# 数据集 API
<br/>
<br/>
<Heading
  url='/datasets'
  method='POST'
  title='创建空数据集'
  name='#create_empty_dataset'
/>
<Row>
  <Col>
    ### Request Body
    <Properties>
      <Property name='name' type='string' key='name'>
        数据集名称
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="POST" 
      label="/datasets"
      targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"name": "name"}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request POST 'https://api.dify.ai/v1/datasets' \
    --header 'Authorization: Bearer {api_key}' \
    --header 'Content-Type: application/json' \
    --data-raw '{
      "name": "name"
    }'
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "id": "",
      "name": "name",
      "description": null,
      "provider": "vendor",
      "permission": "only_me",
      "data_source_type": null,
      "indexing_technique": null,
      "app_count": 0,
      "document_count": 0,
      "word_count": 0,
      "created_by": "",
      "created_at": 1695636173,
      "updated_by": "",
      "updated_at": 1695636173,
      "embedding_model": null,
      "embedding_model_provider": null,
      "embedding_available": null
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets'
  method='GET'
  title='数据集列表'
  name='#dataset_list'
/>
<Row>
  <Col>
    ### Query
    <Properties>
      <Property name='page' type='string' key='page'>
        页码
      </Property>
      <Property name='limit' type='string' key='limit'>
        返回条数，默认 20，范围 1-100
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="POST" 
      label="/datasets"
      targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets?page=1&limit=20' \\\n--header 'Authorization: Bearer {api_key}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request GET 'https://api.dify.ai/v1/datasets?page=1&limit=20' \
    --header 'Authorization: Bearer {api_key}'
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "data": [
        {
          "id": "",
          "name": "数据集名称",
          "description": "描述信息",
          "permission": "only_me",
          "data_source_type": "upload_file",
          "indexing_technique": "",
          "app_count": 2,
          "document_count": 10,
          "word_count": 1200,
          "created_by": "",
          "created_at": "",
          "updated_by": "",
          "updated_at": ""
        },
        ...
      ],
      "has_more": true,
      "limit": 20,
      "total": 50,
      "page": 1
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/document/create_by_text'
  method='POST'
  title='通过文本创建文档'
  name='#create_by_text'
/>
<Row>
  <Col>
    此接口基于已存在数据集，在此数据集的基础上通过文本创建新的文档

    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
    </Properties>

    ### Request Body
    <Properties>
      <Property name='name' type='string' key='name'>
        文档名称
      </Property>
      <Property name='text' type='string' key='text'>
        文档内容
      </Property>
      <Property name='indexing_technique' type='string' key='indexing_technique'>
        索引方式
          - <code>high_quality</code> 高质量：使用  embedding 模型进行嵌入，构建为向量数据库索引
          - <code>economy</code> 经济：使用 Keyword Table Index 的倒排索引进行构建
      </Property>
      <Property name='process_rule' type='object' key='process_rule'>
        处理规则
          - <code>mode</code> (string) 清洗、分段模式 ，automatic 自动 / custom 自定义
          - <code>rules</code> (object) 自定义规则（自动模式下，该字段为空）
            - <code>pre_processing_rules</code> (array[object]) 预处理规则
              - <code>id</code> (string) 预处理规则的唯一标识符
                - 枚举： 
                  - <code>remove_extra_spaces</code> 替换连续空格、换行符、制表符
                  - <code>remove_urls_emails</code> 删除 URL、电子邮件地址
              - <code>enabled</code> (bool) 是否选中该规则，不传入文档 ID 时代表默认值
            - <code>segmentation</code> (object) 分段规则
              - <code>separator</code> 自定义分段标识符，目前仅允许设置一个分隔符。默认为 \n
              - <code>max_tokens</code> 最大长度 (token) 默认为 1000
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="POST" 
      label="/datasets/{dataset_id}/document/create_by_text"
      targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/document/create_by_text' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"name": "text","text": "text","indexing_technique": "high_quality","process_rule": {"mode": "automatic"}}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request POST 'https://api.dify.ai/v1/datasets/{dataset_id}/document/create_by_text' \
    --header 'Authorization: Bearer {api_key}' \
    --header 'Content-Type: application/json' \
    --data-raw '{
        "name": "text",
        "text": "text",
        "indexing_technique": "high_quality",
        "process_rule": {
            "mode": "automatic"
        }
    }'
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "document": {
        "id": "",
        "position": 1,
        "data_source_type": "upload_file",
        "data_source_info": {
            "upload_file_id": ""
        },
        "dataset_process_rule_id": "",
        "name": "text.txt",
        "created_from": "api",
        "created_by": "",
        "created_at": 1695690280,
        "tokens": 0,
        "indexing_status": "waiting",
        "error": null,
        "enabled": true,
        "disabled_at": null,
        "disabled_by": null,
        "archived": false,
        "display_status": "queuing",
        "word_count": 0,
        "hit_count": 0,
        "doc_form": "text_model"
      },
      "batch": ""
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/document/create_by_file'
  method='POST'
  title='通过文件创建文档 '
  name='#create_by_file'
/>
<Row>
  <Col>
    此接口基于已存在数据集，在此数据集的基础上通过文件创建新的文档

    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
    </Properties>

    ### Request Body
    <Properties>
      <Property name='original_document_id' type='string' key='original_document_id'>
        源文档 ID （选填）
          - 用于重新上传文档或修改文档清洗、分段配置，缺失的信息从源文档复制
          - 源文档不可为归档的文档
          - 当传入 <code>original_document_id</code> 时，代表文档进行更新操作，<code>process_rule</code> 为可填项目，不填默认使用源文档的分段方式
          - 未传入 <code>original_document_id</code> 时，代表文档进行新增操作，<code>process_rule</code> 为必填
      </Property>
      <Property name='file' type='multipart/form-data' key='file'>
        需要上传的文件。
      </Property>
      <Property name='indexing_technique' type='string' key='indexing_technique'>
        索引方式
          - <code>high_quality</code> 高质量：使用  embedding 模型进行嵌入，构建为向量数据库索引
          - <code>economy</code> 经济：使用 Keyword Table Index 的倒排索引进行构建
      </Property>
      <Property name='process_rule' type='object' key='process_rule'>
        处理规则
          - <code>mode</code> (string) 清洗、分段模式 ，automatic 自动 / custom 自定义
          - <code>rules</code> (object) 自定义规则（自动模式下，该字段为空）
            - <code>pre_processing_rules</code> (array[object]) 预处理规则
              - <code>id</code> (string) 预处理规则的唯一标识符
                - 枚举： 
                  - <code>remove_extra_spaces</code> 替换连续空格、换行符、制表符
                  - <code>remove_urls_emails</code> 删除 URL、电子邮件地址
              - <code>enabled</code> (bool) 是否选中该规则，不传入文档 ID 时代表默认值
            - <code>segmentation</code> (object) 分段规则
              - <code>separator</code> 自定义分段标识符，目前仅允许设置一个分隔符。默认为 \n
              - <code>max_tokens</code> 最大长度 (token) 默认为 1000
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="POST" 
      label="/datasets/{dataset_id}/document/create_by_file"
      targetCode={`curl --location POST '${props.apiBaseUrl}/datasets/{dataset_id}/document/create_by_file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--form 'data="{"name":"Dify","indexing_technique":"high_quality","process_rule":{"rules":{"pre_processing_rules":[{"id":"remove_extra_spaces","enabled":true},{"id":"remove_urls_emails","enabled":true}],"segmentation":{"separator":"###","max_tokens":500}},"mode":"custom"}}";type=text/plain' \\\n--form 'file=@"/path/to/file"'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location POST 'https://api.dify.ai/v1/datasets/{dataset_id}/document/create_by_file' \
    --header 'Authorization: Bearer {api_key}' \
    --form 'data="{\"name\":\"Dify\",\"indexing_technique\":\"high_quality\",\"process_rule\":{\"rules\":{\"pre_processing_rules\":[{\"id\":\"remove_extra_spaces\",\"enabled\":true},{\"id\":\"remove_urls_emails\",\"enabled\":true}],\"segmentation\":{\"separator\":\"###\",\"max_tokens\":500}},\"mode\":\"custom\"}}";type=text/plain' \
    --form 'file=@"/path/to/file"'
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "document": {
        "id": "",
        "position": 1,
        "data_source_type": "upload_file",
        "data_source_info": {
          "upload_file_id": ""
        },
        "dataset_process_rule_id": "",
        "name": "Dify.txt",
        "created_from": "api",
        "created_by": "",
        "created_at": 1695308667,
        "tokens": 0,
        "indexing_status": "waiting",
        "error": null,
        "enabled": true,
        "disabled_at": null,
        "disabled_by": null,
        "archived": false,
        "display_status": "queuing",
        "word_count": 0,
        "hit_count": 0,
        "doc_form": "text_model"
      },
      "batch": ""
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/documents/{document_id}/update_by_text'
  method='POST'
  title='通过文本更新文档 '
  name='#update_by_text'
/>
<Row>
  <Col>
    此接口基于已存在数据集，在此数据集的基础上通过文本更新文档

    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
      <Property name='document_id' type='string' key='document_id'>
        文档 ID
      </Property>
    </Properties>

    ### Request Body
    <Properties>
      <Property name='name' type='string' key='name'>
        文档名称 （选填）
      </Property>
      <Property name='text' type='string' key='text'>
        文档内容（选填）
      </Property>
      <Property name='process_rule' type='object' key='process_rule'>
        处理规则（选填）
          - <code>mode</code> (string) 清洗、分段模式 ，automatic 自动 / custom 自定义
          - <code>rules</code> (object) 自定义规则（自动模式下，该字段为空）
            - <code>pre_processing_rules</code> (array[object]) 预处理规则
              - <code>id</code> (string) 预处理规则的唯一标识符
                - 枚举： 
                  - <code>remove_extra_spaces</code> 替换连续空格、换行符、制表符
                  - <code>remove_urls_emails</code> 删除 URL、电子邮件地址
              - <code>enabled</code> (bool) 是否选中该规则，不传入文档 ID 时代表默认值
            - <code>segmentation</code> (object) 分段规则
              - <code>separator</code> 自定义分段标识符，目前仅允许设置一个分隔符。默认为 \n
              - <code>max_tokens</code> 最大长度 (token) 默认为 1000
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="POST" 
      label="/datasets/{dataset_id}/documents/{document_id}/update_by_text"
      targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/update_by_text' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"name": "name","text": "text"}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request POST 'https://api.dify.ai/v1/datasets/{dataset_id}/documents/{document_id}/update_by_text' \
    --header 'Authorization: Bearer {api_key}' \
    --header 'Content-Type: application/json' \
    --data-raw '{
        "name": "name",
        "text": "text"
    }'
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "document": {
        "id": "",
        "position": 1,
        "data_source_type": "upload_file",
        "data_source_info": {
          "upload_file_id": ""
        },
        "dataset_process_rule_id": "",
        "name": "name.txt",
        "created_from": "api",
        "created_by": "",
        "created_at": 1695308667,
        "tokens": 0,
        "indexing_status": "waiting",
        "error": null,
        "enabled": true,
        "disabled_at": null,
        "disabled_by": null,
        "archived": false,
        "display_status": "queuing",
        "word_count": 0,
        "hit_count": 0,
        "doc_form": "text_model"
      },
      "batch": ""
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/documents/{document_id}/update_by_file'
  method='POST'
  title='通过文件更新文档  '
  name='#update_by_file'
/>
<Row>
  <Col>
    此接口基于已存在数据集，在此数据集的基础上通过文件更新文档的操作。

    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
      <Property name='document_id' type='string' key='document_id'>
        文档 ID
      </Property>
    </Properties>

    ### Request Body
    <Properties>
      <Property name='name' type='string' key='name'>
        文档名称 （选填）
      </Property>
      <Property name='file' type='multipart/form-data' key='file'>
        需要上传的文件
      </Property>
      <Property name='process_rule' type='object' key='process_rule'>
        处理规则（选填）
          - <code>mode</code> (string) 清洗、分段模式 ，automatic 自动 / custom 自定义
          - <code>rules</code> (object) 自定义规则（自动模式下，该字段为空）
            - <code>pre_processing_rules</code> (array[object]) 预处理规则
              - <code>id</code> (string) 预处理规则的唯一标识符
                - 枚举： 
                  - <code>remove_extra_spaces</code> 替换连续空格、换行符、制表符
                  - <code>remove_urls_emails</code> 删除 URL、电子邮件地址
              - <code>enabled</code> (bool) 是否选中该规则，不传入文档 ID 时代表默认值
            - <code>segmentation</code> (object) 分段规则
              - <code>separator</code> 自定义分段标识符，目前仅允许设置一个分隔符。默认为 \n
              - <code>max_tokens</code> 最大长度 (token) 默认为 1000
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="POST" 
      label="/datasets/{dataset_id}/documents/{document_id}/update_by_file"
      targetCode={`curl --location POST '${props.apiBaseUrl}/datasets/{dataset_id}/document/{document_id}/create_by_file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--form 'data="{"name":"Dify","indexing_technique":"high_quality","process_rule":{"rules":{"pre_processing_rules":[{"id":"remove_extra_spaces","enabled":true},{"id":"remove_urls_emails","enabled":true}],"segmentation":{"separator":"###","max_tokens":500}},"mode":"custom"}}";type=text/plain' \\\n--form 'file=@"/path/to/file"'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location POST 'https://api.dify.ai/v1/datasets/{dataset_id}/document/{document_id}/create_by_file' \
    --header 'Authorization: Bearer {api_key}' \
    --form 'data="{\"name\":\"Dify\",\"indexing_technique\":\"high_quality\",\"process_rule\":{\"rules\":{\"pre_processing_rules\":[{\"id\":\"remove_extra_spaces\",\"enabled\":true},{\"id\":\"remove_urls_emails\",\"enabled\":true}],\"segmentation\":{\"separator\":\"###\",\"max_tokens\":500}},\"mode\":\"custom\"}}";type=text/plain' \
    --form 'file=@"/path/to/file"'
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "document": {
        "id": "",
        "position": 1,
        "data_source_type": "upload_file",
        "data_source_info": {
          "upload_file_id": ""
        },
        "dataset_process_rule_id": "",
        "name": "Dify.txt",
        "created_from": "api",
        "created_by": "",
        "created_at": 1695308667,
        "tokens": 0,
        "indexing_status": "waiting",
        "error": null,
        "enabled": true,
        "disabled_at": null,
        "disabled_by": null,
        "archived": false,
        "display_status": "queuing",
        "word_count": 0,
        "hit_count": 0,
        "doc_form": "text_model"
      },
      "batch": "20230921150427533684"
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/batch/{batch}/indexing-status'
  method='GET'
  title='获取文档嵌入状态（进度）'
  name='#indexing_status'
/>
<Row>
  <Col>
    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
      <Property name='batch' type='string' key='batch'>
        上传文档的批次号
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="GET" 
      label="/datasets/{dataset_id}/batch/{batch}/indexing-status"
      targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{batch}/indexing-status' \\\n--header 'Authorization: Bearer {api_key}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request GET 'https://api.dify.ai/v1/datasets/{dataset_id}/documents/{batch}/indexing-status' \
    --header 'Authorization: Bearer {api_key}' \
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "data":[{
        "id": "",
        "indexing_status": "indexing", 
        "processing_started_at": 1681623462.0,
        "parsing_completed_at": 1681623462.0,
        "cleaning_completed_at": 1681623462.0,
        "splitting_completed_at": 1681623462.0,
        "completed_at": null,
        "paused_at": null,
        "error": null,
        "stopped_at": null,
        "completed_segments": 24,
        "total_segments": 100
      }]
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/documents/{document_id}'
  method='DELETE'
  title='删除文档'
  name='#delete_document'
/>
<Row>
  <Col>
    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
      <Property name='document_id' type='string' key='document_id'>
        文档 ID
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="DELETE" 
      label="/datasets/{dataset_id}/documents/{document_id}"
      targetCode={`curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}' \\\n--header 'Authorization: Bearer {api_key}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request DELETE 'https://api.dify.ai/v1/datasets/{dataset_id}/documents/{document_id}' \
    --header 'Authorization: Bearer {api_key}' \
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "result": "success"
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/documents'
  method='GET'
  title='数据集文档列表'
  name='#dataset_document_list'
/>
<Row>
  <Col>
    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
    </Properties>

    ### Query
    <Properties>
      <Property name='keyword' type='string' key='keyword'>
        搜索关键词，可选，目前仅搜索文档名称
      </Property>
      <Property name='page' type='string' key='page'>
        页码，可选
      </Property>
      <Property name='limit' type='string' key='limit'>
        返回条数，可选，默认 20，范围 1-100
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="GET" 
      label="/datasets/{dataset_id}/documents"
      targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents' \\\n--header 'Authorization: Bearer {api_key}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request GET 'https://api.dify.ai/v1/datasets/{dataset_id}/documents' \
    --header 'Authorization: Bearer {api_key}' \
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "data": [
        {
          "id": "",
          "position": 1,
          "data_source_type": "file_upload",
          "data_source_info": null,
          "dataset_process_rule_id": null,
          "name": "dify",
          "created_from": "",
          "created_by": "",
          "created_at": 1681623639,
          "tokens": 0,
          "indexing_status": "waiting",
          "error": null,
          "enabled": true,
          "disabled_at": null,
          "disabled_by": null,
          "archived": false
        },
      ],
      "has_more": false,
      "limit": 20,
      "total": 9,
      "page": 1
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Heading
  url='/datasets/{dataset_id}/documents/{document_id}/segments'
  method='POST'
  title='新增分段'
  name='#create_new_segment'
/>
<Row>
  <Col>
    ### Path
    <Properties>
      <Property name='dataset_id' type='string' key='dataset_id'>
        数据集 ID
      </Property>
      <Property name='document_id' type='string' key='document_id'>
        文档 ID
      </Property>
    </Properties>

    ### Request Body
    <Properties>
      <Property name='segments' type='object list' key='segments'>
        - <code>content</code> (text) 文本内容/问题内容，必填
        - <code>answer</code> (text) 答案内容，非必填，如果数据集的模式为qa模式则传值
        - <code>keywords</code> (list) 关键字，非必填
      </Property>
    </Properties>
  </Col>
  <Col sticky>
    <CodeGroup 
      title="Request" 
      tag="POST" 
      label="/datasets/{dataset_id}/documents/{document_id}/segments"
      targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"segments": [{"content": "1","answer": "1","keywords": ["a"]}]}'`}
    >
    ```bash {{ title: 'cURL' }}
    curl --location --request POST 'https://api.dify.ai/v1/datasets/{dataset_id}/documents/{document_id}/segments' \
    --header 'Authorization: Bearer {api_key}' \
    --header 'Content-Type: application/json' \
    --data-raw '{
      "segments": [
        {
          "content": "1",
          "answer": "1",
          "keywords": ["a"]
        }
      ]
    }'
    ```
    </CodeGroup>
    <CodeGroup title="Response">
    ```json {{ title: 'Response' }}
    {
      "data": [{
        "id": "",
        "position": 1,
        "document_id": "",
        "content": "1",
        "answer": "1",
        "word_count": 25,
        "tokens": 0,
        "keywords": [
            "a"
        ],
        "index_node_id": "",
        "index_node_hash": "",
        "hit_count": 0,
        "enabled": true,
        "disabled_at": null,
        "disabled_by": null,
        "status": "completed",
        "created_by": "",
        "created_at": 1695312007,
        "indexing_at": 1695312007,
        "completed_at": 1695312007,
        "error": null,
        "stopped_at": null
      }],
      "doc_form": "text_model"
    }
    ```
    </CodeGroup>
  </Col>
</Row>

---

<Row>
  <Col>
    ### 错误信息
    <Properties>
      <Property name='code' type='string' key='code'>
        返回的错误代码
      </Property>
    </Properties>
    <Properties>
      <Property name='status' type='number' key='status'>
        返回的错误状态
      </Property>
    </Properties>
    <Properties>
      <Property name='message' type='string' key='message'>
        返回的错误信息
      </Property>
    </Properties>
  </Col>
  <Col>
    <CodeGroup title="Example">
    ```json {{ title: 'Response' }}
      {
        "code": "no_file_uploaded",
        "message": "Please upload your file.",
        "status": 400
      }
    ```
    </CodeGroup>
  </Col>
</Row>
<table className="max-w-auto border-collapse border border-slate-400" style={{ maxWidth: 'none', width: 'auto' }}>
  <thead style={{ background: '#f9fafc' }}>
    <tr>
      <th class="p-2 border border-slate-300">code</th>
      <th class="p-2 border border-slate-300">status</th>
      <th class="p-2 border border-slate-300">message</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td class="p-2 border border-slate-300">no_file_uploaded</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">Please upload your file.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">too_many_files</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">Only one file is allowed.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">file_too_large</td>
      <td class="p-2 border border-slate-300">413</td>
      <td class="p-2 border border-slate-300">File size exceeded.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">unsupported_file_type</td>
      <td class="p-2 border border-slate-300">415</td>
      <td class="p-2 border border-slate-300">File type not allowed.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">high_quality_dataset_only</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">Current operation only supports 'high-quality' datasets.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">dataset_not_initialized</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">The dataset is still being initialized or indexing. Please wait a moment.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">archived_document_immutable</td>
      <td class="p-2 border border-slate-300">403</td>
      <td class="p-2 border border-slate-300">The archived document is not editable.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">dataset_name_duplicate</td>
      <td class="p-2 border border-slate-300">409</td>
      <td class="p-2 border border-slate-300">The dataset name already exists. Please modify your dataset name.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">invalid_action</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">Invalid action.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">document_already_finished</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">The document has been processed. Please refresh the page or go to the document details.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">document_indexing</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">The document is being processed and cannot be edited.</td>
    </tr>
    <tr>
      <td class="p-2 border border-slate-300">invalid_metadata</td>
      <td class="p-2 border border-slate-300">400</td>
      <td class="p-2 border border-slate-300">The metadata content is incorrect. Please check and verify.</td>
    </tr>
  </tbody>
</table>
<div class="pb-4" />
