workflow.ts

export default {
  node: 'Node',
  nodeName: 'Node Name',
  baseComponent: 'Basic',
  nodeSetting: 'Node Settings',
  workflow: 'Workflow',
  knowledgeWorkflow: 'Knowledge Workflow',
  info: {
    previewVersion: 'Preview Version:',
    saveTime: 'Last Saved:',
  },
  operation: {
    toImportDoc: 'Go to Import Documents',
    importWorkflow: 'Import Workflow',
    exportWorkflow: 'Export Workflow',
  },
  setting: {
    restoreVersion: 'Restore Previous Version"',
    restoreCurrentVersion: 'Restore to This Version',
    addComponent: 'Add',
    releaseHistory: 'Release History',
    autoSave: 'Auto Save',
    latestRelease: 'Latest Release',
    copyParam: 'Copy Parameters',
    debug: 'Run',
    exit: 'Exit',
    exitSave: 'Save & Exit',
    templateCenter: 'Template Center',
  },
  tip: {
    noData: 'No related results found',
    nameMessage: 'Name cannot be empty!',
    onlyRight: 'Connections can only be made from the right anchor',
    notRecyclable: 'Loop connections are not allowed',
    onlyLeft: 'Connections can only be made to the left anchor',
    applicationNodeError: 'This agent is unavailable',
    toolNodeError: 'This tool node is unavailable',
    repeatedNodeError: 'A node with this name already exists',
    cannotCopy: 'Cannot be copied',
    copyError: 'Node already copied',
    paramErrorMessage: 'Parameter already exists: ',
    saveMessage: 'Current changes have not been saved. Save before exiting?',
    searchPlaceholder: 'Please enter node name',
    disabled: 'The node has been disabled',
  },
  delete: {
    confirmTitle: 'Confirm to delete this node?',
    deleteMessage: 'This node cannot be deleted',
  },
  control: {
    zoomOut: 'Zoom Out',
    zoomIn: 'Zoom In',
    fitView: 'Fit to Screen',
    retract: 'Collapse All',
    extend: 'Expand All',
    beautify: 'Auto-Arrange',
  },
  variable: {
    global: 'Global Variable',
    chat: 'Chat Variable',
    Referencing: 'Referenced Variable',
    ReferencingRequired: 'Referenced variable is required',
    ReferencingError: 'Invalid referenced variable',
    NoReferencing: 'Referenced variable does not exist',
    placeholder_key: 'Enter key',
    placeholder: 'Please select a variable',
    inputPlaceholder: 'Please enter variable',
    loop: 'Loop Variable',
  },
  condition: {
    title: 'Execution Condition',
    front: 'Precondition',
    AND: 'All',
    OR: 'Any',
    text: 'After the connected node is executed, execute the current node',
  },
  validate: {
    startNodeRequired: 'Start node is required',
    startNodeOnly: 'Only one start node is allowed',
    baseNodeRequired: 'Base information node is required',
    baseNodeOnly: 'Only one base information node is allowed',
    notInWorkFlowNode: 'Node not in workflow',
    noNextNode: 'Next node does not exist',
    nodeUnavailable: 'Node unavailable',
    needConnect1: 'The branch of the node needs to be connected',
    cannotEndNode: 'This node cannot be used as an end node',
    loopNodeBreakNodeRequired: 'Wireless loop must have a Break node',
  },
  nodes: {
    toolWorlflowNode: {
      label: 'Workflow Tool',
      text: 'Workflow Tool',
    },
    knowledgeWriteNode: {
      label: 'Knowledge write',
      text: 'Write the input paragraph list into the current knowledge base and complete vectorization processing',
    },
    dataSourceWebNode: {
      label: 'Web Site',
      text: 'Input the root URL to automatically crawl web data (single link corresponds to a single document), output a list of documents with content',
      field_label: 'Document list',
    },
    dataSourceLocalNode: {
      label: 'Local File',
      text: 'Upload local documents, output document list (content not parsed, needs to be used with "Document Content Extraction" node to parse)',
      fileList: 'File List',
      fileFormat: {
        label: 'Supported File Formats',
        requiredMessage: 'Please select file formats',
      },
      maxFileNumber: {
        label: 'Maximum Number of Files per Upload',
      },
      maxFileCountNumber: {
        label: 'Maximum Size per File (MB)',
      },
    },
    classify: {
      aiCapability: 'AI capability',
      businessLogic: 'Business logic',
      dataProcessing: 'Data Processing',
    },
    startNode: {
      label: 'Start',
      question: 'User Question',
      currentTime: 'Current Time',
    },
    baseNode: {
      visibilitySetting: {
        label: 'Visibility Setting',
        showCondition‌: 'Show Condition',
        hideCondition‌: 'Hide Condition',
      },
      fileUpload: {
        label: 'File Upload',
        tooltip: 'When enabled, the Q&A page will display a file upload button.',
      },
      FileUploadSetting: {
        title: 'File Upload Settings',
        maxFiles: 'Maximum number of files per upload',
        fileLimit: 'Maximum size per file (MB)',
        fileUploadType: {
          label: 'File types allowed for upload',
          documentText: 'Requires "Document Content Extraction" node to parse document content',
          imageText: 'Requires "Image Understanding" node to parse image content',
          videoText: 'Requires "Video Understanding" node to parse video content',
          audioText: 'Requires "Speech-to-Text" node to parse audio content',
          uploadMethod: 'Upload Method',
        },
      },
    },
    KnowledgeBaseNode: {
      DocumentSetting: 'Document Processing Setting',
    },
    aiChatNode: {
      label: 'AI Chat',
      text: 'Chat with an AI model',
      answer: 'AI Content',
      returnContent: {
        label: 'Return Content',
        tooltip: `If turned off, the content of this node will not be output to the user.
                  If you want the user to see the output of this node, please turn on the switch.`,
      },
      defaultPrompt: 'Known Information',
      think: 'Thinking Process',
      historyMessage: 'Historical chat records',
    },
    searchKnowledgeNode: {
      label: 'Knowledge Retrieval',
      text: 'Allows you to query text content related to user questions from the Knowledge',
      paragraph_list: 'List of retrieved segments',
      is_hit_handling_method_list: 'List of segments that meet direct response criteria',
      result: 'Search Result',
      directly_return: 'Content of segments that meet direct response criteria',
      searchParam: 'Retrieval Parameters',
      showKnowledge: {
        label: 'Results are displayed in the knowledge source',
        requiredMessage: 'Please set parameters',
      },
      searchQuestion: {
        label: 'Question',
        placeholder: 'Please select a search question',
        requiredMessage: 'Please select a search question',
      },
    },
    searchDocumentNode: {
      label: 'Document Tag Retrieval',
      text: 'Search for documents that meet the conditions based on the document label within the specified search scope',
      selectKnowledge: 'Search Scope',
      searchSetting: 'Search Settings',
      custom: 'Manual',
      customTooltip: 'Manually set tag filtering conditions',
      auto: 'Automatic',
      autoTooltip: 'Automatically filter setting tag conditions based on the search question',
      documentList: 'Document List',
      knowledgeList: 'Knowledge Base List',
      result: 'Search Results',
      searchParam: 'Search Parameters',
      select_variable: 'Select Variable',
      valueMessage: 'Value or name',

      searchQuestion: {
        label: 'Search Question',
        placeholder: 'Please select a search question',
        requiredMessage: 'Please select a search question',
      },
    },
    questionNode: {
      label: 'Question Optimization',
      text: 'Optimize and improve the current question based on historical chat records to better match knowledge segments',
      result: 'Optimized Question Result',
      systemDefault: `#Role
You are a master of problem optimization, adept at accurately inferring user intentions based on context and optimizing the questions raised by users.

##Skills
###Skill 1: Optimizing Problems
1. Receive user input questions.
2. Carefully analyze the meaning of the problem based on the context.
3. Output optimized problems.

##Limitations:
-Only return the optimized problem without any additional explanation or clarification.
-Ensure that the optimized problem accurately reflects the original problem intent and does not alter the original intention.`,
    },
    conditionNode: {
      label: 'Conditional Branch',
      text: 'Trigger different nodes based on conditions',
      branch_name: 'Branch Name',
      conditions: {
        label: 'Conditions',
        info: 'Meets the following',
        requiredMessage: 'Please select conditions',
      },
      valueMessage: 'Please enter a value',
      addCondition: 'Add Condition',
      addBranch: 'Add Branch',
    },
    replyNode: {
      label: 'Specified Reply',
      text: 'Specify reply content, referenced variables will be converted to strings for output',
      replyContent: 'Reply Content',
    },
    rerankerNode: {
      label: 'Multi-path Recall',
      text: 'Use a re-ranking model to refine retrieval results from multiple knowledge sources',
      result_list: 'Re-ranked Results List',
      result: 'Re-ranking Result',
      rerankerContent: {
        label: 'Re-ranking Content',
        requiredMessage: 'Please select re-ranking content',
      },
      higher: 'Higher',
      ScoreTooltip: 'The higher the Score, the stronger the relevance.',
      max_paragraph_char_number: 'Maximum Character',
      reranker_model: {
        label: 'Rerank',
        placeholder: 'Please select a rerank',
      },
    },
    formNode: {
      label: 'Form Input',
      text: 'Collect user input during Q&A and use it in subsequent processes',
      form_content_format1: 'Hello, please fill out the form below:',
      form_content_format2: 'Click the [Submit] button after filling it out.',
      form_data: 'All Form Content',
      formContent: {
        label: 'Form Output Content',
        requiredMessage:
          'Please set the output content of this node, { form } is a placeholder for the form.',
        tooltip: 'Define the output content of this node. { form } is a placeholder for the form',
      },
      formAllContent: 'All Form Content',
      formSetting: 'Form Configuration',
    },
    documentExtractNode: {
      label: 'Document Content Extraction',
      text: 'Parse input documents to output structured document content',
      content: 'Document Content',
    },
    documentSplitNode: {
      label: 'Document Splitting',
      text: 'Split input document content according to the segmentation strategy, output a list of segmented texts',
      paragraphList: 'List of split segments',
      splitStrategy: {
        label: 'Splitting Strategy',
        placeholder: 'Please select a splitting strategy',
        requiredMessage: 'Please select a splitting strategy',
      },
      chunk_length: {
        label: 'Chunk length',
        tooltip1: 'Core objective is to balance retrieval precision and recall efficiency',
        tooltip2:
          'Avoid excessively short segmentation: A single segment <50 characters may lead to semantic fragmentation, potentially failing to match query intent during retrieval due to lack of context.',
        tooltip3:
          'Avoid excessive segmentation: A single block exceeding 500 characters increases redundant information, reduces retrieval accuracy, and consumes more storage and computing resources.',
      },
      title1: 'Segment title set as the associated question of the segment',
      title2: 'Document name set as the associated question of the segment',
    },
    imageUnderstandNode: {
      label: 'Image Understanding',
      text: 'Analyze images to identify objects, scenes, and provide answers',
      answer: 'AI Content',
      model: {
        label: 'Vision Model',
        requiredMessage: 'Please select a vision model',
      },
      image: {
        label: 'Select Image',
        requiredMessage: 'Please select an image',
      },
    },
    videoUnderstandNode: {
      label: 'Video Understanding',
      text: 'Identify objects, scenes, and other information in videos to answer user questions',
      answer: 'AI Response Content',
      model: {
        label: 'Vision Model',
        requiredMessage: 'Please select a vision model',
      },
      video: {
        label: 'Select Video',
        requiredMessage: 'Please select a video',
      },
    },
    variableAssignNode: {
      label: 'Variable Assign',
      text: 'Update the value of the global variable',
      assign: 'Set Value',
    },
    variableAggregationNode: {
      label: 'Variable Aggregation',
      text: 'Aggregate variables of each group according to the aggregation strategy',
      Strategy: 'Aggregation Strategy',
      placeholder: 'Return the first non-null value of each group',
      placeholder1: 'Return the array of variables for each group',
      placeholder2: 'Return the dict of variables for each group',
      group: {
        noneError: 'Name cannot be empty',
        dupError: 'Name cannot be duplicated',
      },
      addGroup: 'Add Group',
      editGroup: 'Edit Group',
    },
    mcpNode: {
      label: 'MCP Call',
      text: 'Call external MCP services to process data',
      getToolsSuccess: 'Tools fetched successfully',
      getTool: 'Fetch Tools',
      toolParam: 'Tool Parameters',
      mcpServerTip: 'Please enter MCP server configuration in JSON format',
      mcpToolTip: 'Please select a tool',
      configLabel: 'MCP Server Config (Only SSE/Streamable HTTP calls are supported)',
      reference: 'Reference MCP',
    },
    imageGenerateNode: {
      label: 'Image Generation',
      text: 'Generate images based on provided text content',
      answer: 'AI Content',
      model: {
        label: 'Image Generation Model',
        requiredMessage: 'Please select an image generation model',
      },
      prompt: {
        label: 'Positive Prompt',
        tooltip: 'Describe elements and visual features you want in the generated image',
      },
      negative_prompt: {
        label: 'Negative Prompt',
        tooltip: 'Describe elements you want to exclude from the generated image',
        placeholder:
          'Please describe content you do not want to generate, such as color, bloody content',
      },
    },
    textToVideoGenerate: {
      label: 'Text-to-Video',
      text: 'Generate video based on provided text content',
      answer: 'AI Response Content',
      model: {
        label: 'Text-to-Video Model',
        requiredMessage: 'Please select a text-to-video model',
      },
      prompt: {
        label: 'Prompt (Positive)',
        tooltip:
          'Positive prompt, used to describe elements and visual features expected in the generated video',
      },
      negative_prompt: {
        label: 'Prompt (Negative)',
        tooltip:
          "Negative prompt, used to describe content you don't want to see in the video, which can restrict the video generation",
        placeholder:
          "Please describe video content you don't want to generate, such as: colors, bloody content",
      },
    },
    imageToVideoGenerate: {
      label: 'Image-to-Video',
      text: 'Generate video based on provided images',
      answer: 'AI Response Content',
      model: {
        label: 'Image-to-Video Model',
        requiredMessage: 'Please select an image-to-video model',
      },
      prompt: {
        label: 'Prompt (Positive)',
        tooltip:
          'Positive prompt, used to describe elements and visual features expected in the generated video',
      },
      negative_prompt: {
        label: 'Prompt (Negative)',
        tooltip:
          "Negative prompt, used to describe content you don't want to see in the video, which can restrict the video generation",
        placeholder:
          "Please describe video content you don't want to generate, such as: colors, bloody content",
      },
      first_frame: {
        label: 'First Frame Image',
        requiredMessage: 'Please select the first frame image',
      },
      last_frame: {
        label: 'Last Frame Image',
        requiredMessage: 'Please select the last frame image',
      },
    },
    speechToTextNode: {
      label: 'Speech2Text',
      text: 'Convert audio to text through speech recognition model',
      stt_model: {
        label: 'Speech Recognition Model',
      },
      audio: {
        label: 'Select Audio File',
        placeholder: 'Please select an audio file',
      },
    },
    textToSpeechNode: {
      label: 'TTS',
      text: 'Convert text to audio through speech synthesis model',
      tts_model: {
        label: 'Speech Synthesis Model',
      },
      content: {
        label: 'Select Text Content',
      },
    },
    toolNode: {
      label: 'Custom Tool',
      text: 'Execute custom scripts to achieve data processing',
    },
    intentNode: {
      label: 'IntentNode',
      text: 'Match user questions with user-defined intent classifications',
      error2: 'Repeated intent',
      placeholder: 'Please choose a classification option',
      classify: {
        label: 'Intent classify',
      },
      output_reason: 'Output Reason',
      input: {
        label: 'Input',
      },
    },
    applicationNode: {
      label: 'Agent Node',
    },
    loopNode: {
      label: 'Loop',
      text: 'Repeat a series of tasks by setting the number of loops and logic',
      loopType: {
        label: 'Loop Type',
        requiredMessage: 'Please select a loop type',
        arrayLoop: 'Array Loop',
        numberLoop: 'Loop for Specified Times',
        infiniteLoop: 'Infinite Loop',
      },
      loopNumber: {
        label: 'Loop Number',
        requiredMessage: 'Please enter the number of loops',
      },
      loopArray: {
        label: 'Circular Array',
        requiredMessage: 'Circular Array is required',
        placeholder: 'Please select a circular array',
      },
      loopSetting: 'Loop Settings',
      loopDetail: 'Loop Details',
    },
    loopStartNode: {
      label: 'Loop Start',
      loopIndex: 'Index',
      loopItem: 'Loop Element',
    },
    loopBodyNode: {
      label: 'Loop Body',
      text: 'Loop Body',
    },
    loopContinueNode: {
      label: 'Continue',
      text: 'Used to terminate the current loop and proceed to the next one.',
      isContinue: 'Continue',
    },
    loopBreakNode: {
      label: 'Break',
      text: 'Terminate the current loop and exit the loop body',
      isBreak: 'Break',
    },
    variableSplittingNode: {
      label: 'Variable Splitting',
      text: 'By configuring JSON Path expressions, parse and split the input JSON format variable',
      result: 'Result',
      splitVariables: 'Split Variables',
      inputVariables: 'Input Variable',
      addVariables: 'Add Variables',
      editVariables: 'Edit Variables',
      variableListPlaceholder: 'Please add split variables',
      expression: {
        label: 'Expression',
        placeholder: 'Please enter expression',
        tooltip:
          'Please use JSON Path expressions to split variables, e.g.: $.store.book <a href="https://pypi.org/project/jsonpath-ng/1.8.0/" target="_blank" class="expression_tip">Click for details ➜ pypi.org</a>',
      },
    },
    parameterExtractionNode: {
      label: 'Parameter Extraction',
      text: 'Use AI models to extract structured parameters',
      extractParameters: {
        label: 'Extract Parameters',
        variableListPlaceholder: 'Please add extraction parameters',
        parameterType: 'Parameter Type',
      },
    },
  },
  compare: {
    is_null: 'Is null',
    is_not_null: 'Is not null',
    contain: 'Contains',
    not_contain: 'Does not contain',
    eq: 'Equal to',
    not_eq: 'Not equal to',
    ge: 'Greater than or equal to',
    gt: 'Greater than',
    le: 'Less than or equal to',
    lt: 'Less than',
    len_eq: 'Length equal to',
    len_ge: 'Length greater than or equal to',
    len_gt: 'Length greater than',
    len_le: 'Length less than or equal to',
    len_lt: 'Length less than',
    is_true: 'Is true',
    is_not_true: 'Is not true',
    regex: 'Regex matching',
    wildcard: 'Wildcard matching',
  },
  SystemPromptPlaceholder: 'System Prompt, can reference variables in the system, such as',
  UserPromptPlaceholder: 'User Prompt, can reference variables in the system, such as',
  initiator: 'Iniiator',
  abnormalInformation: 'Abnormal Information',
}