app:
  description: ''
  icon: japanese_ogre
  icon_background: '#FFEAD5'
  mode: workflow
  name: ER2Summary
  use_icon_as_answer_icon: false
dependencies:
- current_identifier: null
  type: marketplace
  value:
    marketplace_plugin_unique_identifier: langgenius/jira:0.0.1@6e48c77165a5bf21ad2a7fa2c73599468acc528706bc5dcbdd5e44d57e01c50b
- current_identifier: null
  type: marketplace
  value:
    marketplace_plugin_unique_identifier: langgenius/ollama:0.0.6@7d66a960a68cafdcdf5589fdf5d01a995533f956853c69c54eddcf797006fa37
kind: app
version: 0.3.0
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
        isInLoop: false
        sourceType: start
        targetType: tool
      id: 1747817616323-source-1747883690530-target
      source: '1747817616323'
      sourceHandle: source
      target: '1747883690530'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInLoop: false
        sourceType: tool
        targetType: code
      id: 1747883690530-source-1747819131717-target
      source: '1747883690530'
      sourceHandle: source
      target: '1747819131717'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        isInLoop: false
        sourceType: code
        targetType: llm
      id: 1747819131717-source-1747895800944-target
      source: '1747819131717'
      sourceHandle: source
      target: '1747895800944'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        isInLoop: false
        sourceType: code
        targetType: end
      id: 1747905952533-source-1747817691653-target
      source: '1747905952533'
      sourceHandle: source
      target: '1747817691653'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInLoop: false
        sourceType: llm
        targetType: code
      id: 1747895800944-source-1747905952533-target
      source: '1747895800944'
      sourceHandle: source
      target: '1747905952533'
      targetHandle: target
      type: custom
      zIndex: 0
    nodes:
    - data:
        desc: ''
        selected: false
        title: Start
        type: start
        variables:
        - label: Key
          max_length: 48
          options: []
          required: true
          type: text-input
          variable: key
      height: 90
      id: '1747817616323'
      position:
        x: -122
        y: -10
      positionAbsolute:
        x: -122
        y: -10
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        desc: ''
        outputs:
        - value_selector:
          - '1747905952533'
          - result
          variable: result
        selected: false
        title: End
        type: end
      height: 90
      id: '1747817691653'
      position:
        x: 501.22702660966024
        y: 79.53306314182922
      positionAbsolute:
        x: 501.22702660966024
        y: 79.53306314182922
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "import re\n\n\ndef atlassian_to_markdown(text: str) -> str:\n    \"\
          \"\"\n    Converts Atlassian wiki-style markup to standard Markdown.\n \
          \   \"\"\"\n\n    # Normalize line breaks\n    text = text.replace('\\\\\
          n', '\\n').replace('\\r\\n', '\\n')\n\n    # Bold text: +*text*+ → **text**\n\
          \    text = re.sub(r'\\+\\*(.+?)\\*\\+', r'**\\1**', text)\n\n    # Headings:\
          \ h1. → #, h2. → ##, etc.\n    text = re.sub(r'^h([1-6])\\.\\s+', lambda\
          \ m: '#' *\n                  int(m.group(1)) + ' ', text, flags=re.MULTILINE)\n\
          \n    # Blockquotes: > lines\n    text = re.sub(r'^\\s*>', '>', text, flags=re.MULTILINE)\n\
          \n    # Image conversion: !URL|params! → ![](URL)\n    text = re.sub(r'!([^\\\
          |!]+)\\|[^!]*!', r'![](\\1)', text)\n\n    # Escaped dividers to markdown\
          \ horizontal rules\n    text = re.sub(r'\\\\[-]+', '---', text)\n\n    #\
          \ Remove extra Unicode whitespace characters (e.g., non-breaking spaces)\n\
          \    # note: the space before \\t is a non-breaking space\n    text = re.sub(r'[ \\\
          t]+', ' ', text)\n\n    # Collapse multiple blank lines to a maximum of\
          \ 2\n    text = re.sub(r'\\n{3,}', '\\n\\n', text)\n\n    # Strip trailing\
          \ spaces\n    text = '\\n'.join(line.rstrip() for line in text.splitlines())\n\
          \n    return text.strip()\n\n\ndef format_comments_display(comments: list)\
          \ -> str:\n    \"\"\"\n    Format a list of comments to simple markdown\
          \ with display name and converted body.\n    \"\"\"\n    output = []\n \
          \   for comment in comments:\n        name = comment.get(\"author\", {}).get(\"\
          displayName\", \"Unknown Author\")\n        body_raw = comment.get(\"body\"\
          , \"\")\n        body_md = atlassian_to_markdown(body_raw)\n        output.append(f\"\
          ### {name}\\n\\n{body_md}\\n\")\n    return \"\\n---\\n\".join(output)\n\
          \n\ndef main(jira_response: list) -> dict:\n    \"\"\"Formats JSON data\
          \ into a Jira-style ticket string (simplified format).\"\"\"\n    issue\
          \ = jira_response[0][\"issue\"]\n    jira_ticket = issue[\"key\"]\n    root_cause\
          \ = atlassian_to_markdown(issue[\"fields\"][\"customfield_10205\"])\n  \
          \  description = atlassian_to_markdown(issue[\"fields\"][\"description\"\
          ])\n    comments = format_comments_display(issue[\"fields\"][\"comment\"\
          ][\"comments\"])\n    summary = issue[\"fields\"][\"summary\"]\n    ticket\
          \ = f\"\"\"\n## Jira Ticket\n{jira_ticket}\n\n## Title\n{summary}\n\n##\
          \ Root Cause\n{root_cause}\n\n## Description\n{description}\n\n## Comment\n\
          {comments}\n\"\"\"\n\n    return {\n        \"result\": ticket\n    }\n"
        code_language: python3
        desc: ''
        outputs:
          result:
            children: null
            type: string
        selected: false
        title: Format Jira response
        type: code
        variables:
        - value_selector:
          - '1747883690530'
          - json
          variable: jira_response
      height: 54
      id: '1747819131717'
      position:
        x: -11.190539821206812
        y: 171.25540547079942
      positionAbsolute:
        x: -11.190539821206812
        y: 171.25540547079942
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        desc: ''
        is_team_authorization: true
        output_schema: null
        paramSchemas:
        - auto_generate: null
          default: null
          form: llm
          human_description:
            en_US: The Key of the Jira issue to retrieve details for (e.g., 'PROJ-123').
            ja_JP: The Key of the Jira issue to retrieve details for (e.g., 'PROJ-123').
            pt_BR: O ID ou a chave da issue a ser recuperada.
            zh_Hans: 要获取详情的 Jira 问题的 Key (例如 'PROJ-123')。
          label:
            en_US: Issue Key
            ja_JP: Issue Key
            pt_BR: ID ou Chave da Issue
            zh_Hans: 问题 Key
          llm_description: The unique key (e.g., 'PROJ-123') for the Jira issue for
            which details are requested. This field is mandatory.
          max: null
          min: null
          name: issue_key
          options: []
          placeholder: null
          precision: null
          required: true
          scope: null
          template: null
          type: string
        params:
          issue_key: ''
        provider_id: langgenius/jira/jira
        provider_name: langgenius/jira/jira
        provider_type: builtin
        selected: false
        title: Get Jira Issue Details
        tool_configurations: {}
        tool_description: Retrieves details for a specific Jira issue.
        tool_label: Get Jira Issue Details
        tool_name: get_issue
        tool_parameters:
          issue_key:
            type: mixed
            value: '{{#1747817616323.key#}}'
        type: tool
      height: 54
      id: '1747883690530'
      position:
        x: -64.33288254138103
        y: 98.39009010462206
      positionAbsolute:
        x: -64.33288254138103
        y: 98.39009010462206
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        context:
          enabled: false
          variable_selector: []
        desc: ''
        model:
          completion_params:
            num_ctx: 8192
            temperature: 0
          mode: chat
          name: gemma3:12b
          provider: langgenius/ollama/ollama
        prompt_template:
        - id: 779cc54c-a30d-4bab-9e59-402591b89081
          role: system
          text: Summary a customer issue. Response summary only, no opening words.
        - id: e02c0dbc-6515-4667-8b6a-870455d2f15c
          role: user
          text: 'Customer issue: {{#1747819131717.result#}}'
        selected: true
        title: SUMMARY CUSTOMER ISSUE
        type: llm
        variables: []
        vision:
          enabled: false
      height: 90
      id: '1747895800944'
      position:
        x: 53.64684795127846
        y: 243.68108125546502
      positionAbsolute:
        x: 53.64684795127846
        y: 243.68108125546502
      selected: true
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "\ndef main(summary: str, customer_issue: str) -> dict:\n    output\
          \ = f\"\"\"\n# Summary\n{summary}\n\n# Customer Issue\n{customer_issue}\n\
          \"\"\"\n    return {\n        \"result\": output\n    }\n"
        code_language: python3
        desc: ''
        outputs:
          result:
            children: null
            type: string
        selected: false
        title: Format output
        type: code
        variables:
        - value_selector:
          - '1747895800944'
          - text
          variable: summary
        - value_selector:
          - '1747819131717'
          - result
          variable: customer_issue
      height: 54
      id: '1747905952533'
      position:
        x: 427.66710480323854
        y: -10
      positionAbsolute:
        x: 427.66710480323854
        y: -10
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    viewport:
      x: 232.8226952008705
      y: 256.5781340693524
      zoom: 1.0111520808513048