app:
  description: ''
  icon: 🤖
  icon_background: '#FFEAD5'
  mode: workflow
  name: runLLMCode
  use_icon_as_answer_icon: false
kind: app
version: 0.1.4
workflow:
  conversation_variables: []
  environment_variables: []
  features:
    file_upload:
      allowed_file_extensions:
      - .JPG
      - .JPEG
      - .PNG
      - .GIF
      - .WEBP
      - .SVG
      allowed_file_types:
      - image
      allowed_file_upload_methods:
      - local_file
      - remote_url
      enabled: false
      fileUploadConfig:
        audio_file_size_limit: 50
        batch_count_limit: 5
        file_size_limit: 15
        image_file_size_limit: 10
        video_file_size_limit: 100
        workflow_file_upload_limit: 10
      image:
        enabled: false
        number_limits: 3
        transfer_methods:
        - local_file
        - remote_url
      number_limits: 3
    opening_statement: ''
    retriever_resource:
      enabled: true
    sensitive_word_avoidance:
      enabled: false
    speech_to_text:
      enabled: false
    suggested_questions: []
    suggested_questions_after_answer:
      enabled: false
    text_to_speech:
      enabled: false
      language: ''
      voice: ''
  graph:
    edges:
    - data:
        isInIteration: false
        sourceType: start
        targetType: code
      id: 1733304372042-source-1733304400929-target
      source: '1733304372042'
      sourceHandle: source
      target: '1733304400929'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        sourceType: llm
        targetType: code
      id: 1733308734162-source-1733309556954-target
      source: '1733308734162'
      sourceHandle: source
      target: '1733309556954'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        sourceType: code
        targetType: http-request
      id: 1733309556954-source-1733305706063-target
      source: '1733309556954'
      sourceHandle: source
      target: '1733305706063'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        sourceType: http-request
        targetType: code
      id: 1733305706063-source-1733310096303-target
      source: '1733305706063'
      sourceHandle: source
      target: '1733310096303'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        sourceType: code
        targetType: end
      id: 1733310096303-source-1733304425429-target
      source: '1733310096303'
      sourceHandle: source
      target: '1733304425429'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        sourceType: code
        targetType: code
      id: 1733304400929-source-1733364687479-target
      source: '1733304400929'
      sourceHandle: source
      target: '1733364687479'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        sourceType: code
        targetType: llm
      id: 1733364687479-source-1733308734162-target
      source: '1733364687479'
      sourceHandle: source
      target: '1733308734162'
      targetHandle: target
      type: custom
      zIndex: 0
    nodes:
    - data:
        desc: ''
        selected: false
        title: 开始
        type: start
        variables:
        - allowed_file_extensions: []
          allowed_file_types:
          - document
          - image
          - audio
          - video
          allowed_file_upload_methods:
          - local_file
          - remote_url
          label: File
          max_length: 48
          options: []
          required: true
          type: file
          variable: File
        - label: query
          max_length: 1000
          options: []
          required: true
          type: paragraph
          variable: query
      height: 116
      id: '1733304372042'
      position:
        x: 30
        y: 258
      positionAbsolute:
        x: 30
        y: 258
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "import os\nimport time\nfrom datetime import datetime, timedelta\n\n\
          def main(filesize):\n    # 存储符合条件的文件列表\n    matched_files = []\n    \n \
          \   # 获取当前时间\n    current_time = time.time()\n    \n    # 检查 upload_files\
          \ 文件夹\n    upload_dir = '/upload_files'\n    \n    # 确保文件夹存在\n    if not\
          \ os.path.exists(upload_dir):\n        return  {\"file_path\":\"None\"}\n\
          \    \n    # 递归遍历文件夹中的所有文件\n    for root, dirs, files in os.walk(upload_dir):\n\
          \        for filename in files:  # 只处理文件，忽略文件夹\n            file_path =\
          \ os.path.join(root, filename)\n            \n            # 获取文件状态信息\n \
          \           file_stat = os.stat(file_path)\n            \n            #\
          \ 获取文件修改时间\n            file_mtime = file_stat.st_mtime\n            \n\
          \            # 计算文件时间差（分钟）\n            time_diff = (current_time - file_mtime)\
          \ / 60\n            \n            # 检查文件大小和修改时间是否符合条件\n            if  file_stat.st_size\
          \ == filesize:\n                matched_files.append((file_path, file_mtime))\n\
          \n    if matched_files:\n        # 按修改时间排序，取最新的文件\n        newest_file =\
          \ max(matched_files, key=lambda x: x[1])\n        return {\"file_path\"\
          :str(newest_file[0])}\n    else:\n        return {\"file_path\":\"None\"\
          }\n"
        code_language: python3
        desc: ''
        outputs:
          file_path:
            children: null
            type: string
        selected: false
        title: 获取文件路径
        type: code
        variables:
        - value_selector:
          - '1733304372042'
          - File
          - size
          variable: filesize
      height: 54
      id: '1733304400929'
      position:
        x: 334
        y: 258
      positionAbsolute:
        x: 334
        y: 258
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        desc: ''
        outputs:
        - value_selector:
          - '1733310096303'
          - result
          variable: output
        selected: false
        title: 结束
        type: end
      height: 90
      id: '1733304425429'
      position:
        x: 942
        y: 779.4285714285714
      positionAbsolute:
        x: 942
        y: 779.4285714285714
      selected: true
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        authorization:
          config: null
          type: no-auth
        body:
          data:
          - id: key-value-707
            key: ''
            type: text
            value: '{"code":{{#1733309556954.code#}},"language":"python3"}'
          type: json
        desc: ''
        headers: X-Api-Key:dify-sandbox
        method: post
        params: ''
        selected: false
        timeout:
          max_connect_timeout: 0
          max_read_timeout: 0
          max_write_timeout: 0
        title: sandbox 执行代码
        type: http-request
        url: http://sandbox:8194/v1/sandbox/run
        variables: []
      height: 110
      id: '1733305706063'
      position:
        x: 942
        y: 543.7142857142858
      positionAbsolute:
        x: 942
        y: 543.7142857142858
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        context:
          enabled: false
          variable_selector: []
        desc: ''
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: deepseek-coder
          provider: deepseek
        prompt_template:
        - id: fb5ec31d-3aef-4b55-bb45-b5e0910ab916
          role: system
          text: '你是一个数据处理专家，擅长需求分析和数据处理，你可以和用户进行基本的对话，习惯使用 pandas 编写代码处理数据处理的需求。

            '
        - id: ab066e1b-b7c0-4984-991d-fe2972312bd4
          role: user
          text: "<UserMessage>\n{{#1733304372042.query#}}\n</UserMessage>\n\n\n##\
            \ 步骤\n1、首先，根据 xml 标签 <UserMessage></UserMessage> 中的内容，思考这是否是一个数据处理需求？如果这不是处理数据的需求，你可以请求用户澄清需要如何处理数据。如果这是一个数据处理请求，请结合下面的背景信息，给出处理步骤。\n\
            2、根据处理步骤，使用 pandas 生成代码，无需注释，直接输出代码即可。\n3、csv的数据路径为：{{#1733304400929.file_path#}}\n\
            4、python代码最终输出的内容为markdown的文本\n\n\n### 背景\n下面我会用 xml 的格式给你提供每个 DataSample\
            \ 的数据样本。\n\n<DATA>\n    <DataFrame>\n        <DataSample>{{#1733364687479.result#}}</DataSample>\n\
            \    </DataFrame>\n</DATA>"
        selected: false
        title: LLM
        type: llm
        variables: []
        vision:
          enabled: false
      height: 98
      id: '1733308734162'
      position:
        x: 942
        y: 258
      positionAbsolute:
        x: 942
        y: 258
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "import re\nimport json\n\ndef main(markdown_text):\n    \"\"\"\n  \
          \  从Markdown文本中提取Python代码块。\n    :param markdown_text: Markdown内容字符串\n \
          \   :return: 提取的Python代码列表\n    \"\"\"\n    # 使用正则表达式匹配Markdown中的Python代码块\n\
          \    code_blocks = re.findall(r'```python(.*?)```', markdown_text, re.DOTALL)\n\
          \    code_string = [code.strip() for code in code_blocks][0]\n    return\
          \ {\"code\":json.dumps(code_string)}\n"
        code_language: python3
        desc: ''
        outputs:
          code:
            children: null
            type: string
        selected: false
        title: 提取LLM中都代码
        type: code
        variables:
        - value_selector:
          - '1733308734162'
          - text
          variable: markdown_text
      height: 54
      id: '1733309556954'
      position:
        x: 942
        y: 423.7142857142857
      positionAbsolute:
        x: 942
        y: 423.7142857142857
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "import json\n\ndef main(response):\n    data= json.loads(response)\n\
          \    return {\n        \"result\": data['data']['stdout'],\n    }\n"
        code_language: python3
        desc: ''
        outputs:
          result:
            children: null
            type: string
        selected: false
        title: 提取输出内容
        type: code
        variables:
        - value_selector:
          - '1733305706063'
          - body
          variable: response
      height: 54
      id: '1733310096303'
      position:
        x: 942
        y: 698
      positionAbsolute:
        x: 942
        y: 698
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "import pandas as pd\nfile_path = '{{file_path}}'\ndef main(file_path):\n\
          \    try:\n        # 读取CSV文件\n        df = pd.read_csv(file_path)\n    \
          \    \n        # 获取前5行数据作为样本\n        sample_df = df.head()\n        \n\
          \        # 生成markdown表格\n        markdown = \"### 数据样本预览\\n\\n\"\n     \
          \   \n        # 添加表头\n        headers = \"|\" + \"|\".join(str(col) for\
          \ col in sample_df.columns) + \"|\"\n        separator = \"|\" + \"|\".join([\"\
          ---\" for _ in sample_df.columns]) + \"|\"\n        \n        markdown +=\
          \ headers + \"\\n\" + separator + \"\\n\"\n        \n        # 添加数据行\n \
          \       for _, row in sample_df.iterrows():\n            markdown += \"\
          |\" + \"|\".join(str(val) for val in row.values) + \"|\\n\"\n          \
          \  \n        # 添加数据集信息\n        markdown += f\"\\n### 数据集信息\\n\"\n     \
          \   markdown += f\"- 总行数: {len(df)}\\n\"\n        markdown += f\"- 总列数:\
          \ {len(df.columns)}\\n\"\n        markdown += f\"- 列名: {', '.join(df.columns.tolist())}\\\
          n\"\n        \n        return {\"result\": markdown}\n        \n    except\
          \ Exception as e:\n        return {\"result\": f\"错误: {str(e)}\"}"
        code_language: python3
        desc: ''
        outputs:
          result:
            children: null
            type: string
        selected: false
        title: 读取csv
        type: code
        variables:
        - value_selector:
          - '1733304400929'
          - file_path
          variable: file_path
      height: 54
      id: '1733364687479'
      position:
        x: 638
        y: 258
      positionAbsolute:
        x: 638
        y: 258
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    viewport:
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      zoom: 0.7