mirror of
https://github.com/dogkeeper886/ollama-k80-lab.git
synced 2025-12-10 15:57:05 +00:00
Add new workflow and code block python script.
This commit is contained in:
Shang Chieh Tseng
524
dify/ER2Test.yml
Normal file
524
dify/ER2Test.yml
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@@ -0,0 +1,524 @@
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app:
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description: ''
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icon: 🐝
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icon_background: '#FFEAD5'
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mode: workflow
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name: ER2Test
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use_icon_as_answer_icon: false
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dependencies:
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- current_identifier: null
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type: marketplace
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value:
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marketplace_plugin_unique_identifier: langgenius/jira:0.0.1@6e48c77165a5bf21ad2a7fa2c73599468acc528706bc5dcbdd5e44d57e01c50b
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- current_identifier: null
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type: marketplace
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value:
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marketplace_plugin_unique_identifier: langgenius/ollama:0.0.6@7d66a960a68cafdcdf5589fdf5d01a995533f956853c69c54eddcf797006fa37
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kind: app
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version: 0.3.0
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workflow:
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conversation_variables: []
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environment_variables: []
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features:
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file_upload:
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allowed_file_extensions:
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- .JPG
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- .JPEG
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- .PNG
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- .GIF
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- .WEBP
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- .SVG
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allowed_file_types:
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- image
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allowed_file_upload_methods:
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- local_file
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- remote_url
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enabled: false
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fileUploadConfig:
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audio_file_size_limit: 50
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batch_count_limit: 5
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file_size_limit: 15
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image_file_size_limit: 10
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video_file_size_limit: 100
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workflow_file_upload_limit: 10
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image:
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enabled: false
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||||||
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number_limits: 3
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||||||
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transfer_methods:
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- local_file
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||||||
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- remote_url
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number_limits: 3
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opening_statement: ''
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retriever_resource:
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enabled: true
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sensitive_word_avoidance:
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enabled: false
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speech_to_text:
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enabled: false
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suggested_questions: []
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suggested_questions_after_answer:
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enabled: false
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text_to_speech:
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enabled: false
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language: ''
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voice: ''
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graph:
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edges:
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- data:
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isInIteration: false
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isInLoop: false
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sourceType: start
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targetType: tool
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id: 1747817616323-source-1747883690530-target
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source: '1747817616323'
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sourceHandle: source
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target: '1747883690530'
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targetHandle: target
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type: custom
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zIndex: 0
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- data:
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isInLoop: false
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sourceType: tool
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targetType: code
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id: 1747883690530-source-1747819131717-target
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source: '1747883690530'
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sourceHandle: source
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target: '1747819131717'
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targetHandle: target
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type: custom
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||||||
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zIndex: 0
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- data:
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isInIteration: false
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isInLoop: false
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sourceType: code
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targetType: llm
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id: 1747819131717-source-1747895800944-target
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source: '1747819131717'
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sourceHandle: source
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target: '1747895800944'
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targetHandle: target
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type: custom
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zIndex: 0
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- data:
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isInIteration: false
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isInLoop: false
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sourceType: llm
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targetType: knowledge-retrieval
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id: 1747901440984-source-1747901650766-target
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source: '1747901440984'
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sourceHandle: source
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target: '1747901650766'
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targetHandle: target
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type: custom
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||||||
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zIndex: 0
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- data:
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isInIteration: false
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isInLoop: false
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sourceType: knowledge-retrieval
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targetType: llm
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id: 1747901650766-source-1747901628308-target
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source: '1747901650766'
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sourceHandle: source
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target: '1747901628308'
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targetHandle: target
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type: custom
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zIndex: 0
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- data:
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isInLoop: false
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sourceType: llm
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targetType: llm
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id: 1747895800944-source-1747901440984-target
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source: '1747895800944'
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sourceHandle: source
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target: '1747901440984'
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targetHandle: target
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type: custom
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||||||
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zIndex: 0
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- data:
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isInIteration: false
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isInLoop: false
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sourceType: code
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targetType: end
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id: 1747905952533-source-1747817691653-target
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source: '1747905952533'
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sourceHandle: source
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target: '1747817691653'
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targetHandle: target
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type: custom
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zIndex: 0
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- data:
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isInLoop: false
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sourceType: llm
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targetType: code
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id: 1747901628308-source-1747905952533-target
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source: '1747901628308'
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sourceHandle: source
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target: '1747905952533'
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targetHandle: target
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type: custom
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zIndex: 0
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nodes:
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- data:
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desc: ''
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selected: false
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title: Start
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type: start
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variables:
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- label: Key
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max_length: 48
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options: []
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required: true
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type: text-input
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variable: key
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height: 89
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id: '1747817616323'
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position:
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x: -122
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y: -10
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positionAbsolute:
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x: -122
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y: -10
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||||||
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selected: false
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||||||
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sourcePosition: right
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targetPosition: left
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type: custom
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||||||
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width: 243
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- data:
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desc: ''
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outputs:
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- value_selector:
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- '1747905952533'
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- result
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variable: result
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selected: false
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title: End
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type: end
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height: 89
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id: '1747817691653'
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position:
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x: 1020.4367577096489
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y: 124.0367543789711
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positionAbsolute:
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x: 1020.4367577096489
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y: 124.0367543789711
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||||||
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selected: true
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||||||
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sourcePosition: right
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||||||
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targetPosition: left
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type: custom
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||||||
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width: 243
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- data:
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code: "import re\n\n\ndef atlassian_to_markdown(text: str) -> str:\n \"\
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\"\"\n Converts Atlassian wiki-style markup to standard Markdown.\n \
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\ \"\"\"\n\n # Normalize line breaks\n text = text.replace('\\\\\
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n', '\\n').replace('\\r\\n', '\\n')\n\n # Bold text: +*text*+ → **text**\n\
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\ text = re.sub(r'\\+\\*(.+?)\\*\\+', r'**\\1**', text)\n\n # Headings:\
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\ h1. → #, h2. → ##, etc.\n text = re.sub(r'^h([1-6])\\.\\s+', lambda\
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\ m: '#' *\n int(m.group(1)) + ' ', text, flags=re.MULTILINE)\n\
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\n # Blockquotes: > lines\n text = re.sub(r'^\\s*>', '>', text, flags=re.MULTILINE)\n\
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\n # Image conversion: !URL|params! → \n text = re.sub(r'!([^\\\
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|!]+)\\|[^!]*!', r'', text)\n\n # Escaped dividers to markdown\
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\ horizontal rules\n text = re.sub(r'\\\\[-]+', '---', text)\n\n #\
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\ Remove extra Unicode whitespace characters (e.g., non-breaking spaces)\n\
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\ # note: the space before \\t is a non-breaking space\n text = re.sub(r'[ \\\
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t]+', ' ', text)\n\n # Collapse multiple blank lines to a maximum of\
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\ 2\n text = re.sub(r'\\n{3,}', '\\n\\n', text)\n\n # Strip trailing\
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\ spaces\n text = '\\n'.join(line.rstrip() for line in text.splitlines())\n\
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\n return text.strip()\n\n\ndef format_comments_display(comments: list)\
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\ -> str:\n \"\"\"\n Format a list of comments to simple markdown\
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\ with display name and converted body.\n \"\"\"\n output = []\n \
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\ for comment in comments:\n name = comment.get(\"author\", {}).get(\"\
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displayName\", \"Unknown Author\")\n body_raw = comment.get(\"body\"\
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, \"\")\n body_md = atlassian_to_markdown(body_raw)\n output.append(f\"\
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### {name}\\n\\n{body_md}\\n\")\n return \"\\n---\\n\".join(output)\n\
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\n\ndef main(jira_response: list) -> dict:\n \"\"\"Formats JSON data\
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\ into a Jira-style ticket string (simplified format).\"\"\"\n issue\
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\ = jira_response[0][\"issue\"]\n jira_ticket = issue[\"key\"]\n root_cause\
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\ = atlassian_to_markdown(issue[\"fields\"][\"customfield_10205\"])\n \
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\ description = atlassian_to_markdown(issue[\"fields\"][\"description\"\
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])\n comments = format_comments_display(issue[\"fields\"][\"comment\"\
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][\"comments\"])\n summary = issue[\"fields\"][\"summary\"]\n ticket\
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\ = f\"\"\"\n**Jira Ticket** {jira_ticket}\n\n**Summary:*** {summary}\n\n\
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**Root Cause:**\n{root_cause}\n\n**Description:**\n\n{description}\n\n**Comment:**\n\
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\n{comments}\n\"\"\"\n\n return {\n \"result\": ticket\n }\n"
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code_language: python3
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desc: ''
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outputs:
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result:
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children: null
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type: string
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selected: false
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title: FORMAT RAW DATA
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type: code
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variables:
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- value_selector:
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- '1747883690530'
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- json
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variable: jira_response
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height: 53
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id: '1747819131717'
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position:
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x: -11.190539821206812
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y: 171.25540547079942
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positionAbsolute:
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x: -11.190539821206812
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y: 171.25540547079942
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||||||
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selected: false
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||||||
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 243
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- data:
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desc: ''
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is_team_authorization: true
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output_schema: null
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paramSchemas:
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- auto_generate: null
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default: null
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form: llm
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human_description:
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en_US: The Key of the Jira issue to retrieve details for (e.g., 'PROJ-123').
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ja_JP: The Key of the Jira issue to retrieve details for (e.g., 'PROJ-123').
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pt_BR: O ID ou a chave da issue a ser recuperada.
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zh_Hans: 要获取详情的 Jira 问题的 Key (例如 'PROJ-123')。
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label:
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en_US: Issue Key
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ja_JP: Issue Key
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pt_BR: ID ou Chave da Issue
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zh_Hans: 问题 Key
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llm_description: The unique key (e.g., 'PROJ-123') for the Jira issue for
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which details are requested. This field is mandatory.
|
||||||
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max: null
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||||||
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min: null
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name: issue_key
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||||||
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options: []
|
||||||
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placeholder: null
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||||||
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precision: null
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||||||
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required: true
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||||||
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scope: null
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||||||
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template: null
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type: string
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||||||
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params:
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||||||
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issue_key: ''
|
||||||
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provider_id: langgenius/jira/jira
|
||||||
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provider_name: langgenius/jira/jira
|
||||||
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provider_type: builtin
|
||||||
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selected: false
|
||||||
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title: Get Jira Issue Details
|
||||||
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tool_configurations: {}
|
||||||
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tool_description: Retrieves details for a specific Jira issue.
|
||||||
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tool_label: Get Jira Issue Details
|
||||||
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tool_name: get_issue
|
||||||
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tool_parameters:
|
||||||
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issue_key:
|
||||||
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type: mixed
|
||||||
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value: '{{#1747817616323.key#}}'
|
||||||
|
type: tool
|
||||||
|
height: 53
|
||||||
|
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: 243
|
||||||
|
- 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: false
|
||||||
|
title: SUMMARY CUSTOMER ISSUE
|
||||||
|
type: llm
|
||||||
|
variables: []
|
||||||
|
vision:
|
||||||
|
enabled: false
|
||||||
|
height: 89
|
||||||
|
id: '1747895800944'
|
||||||
|
position:
|
||||||
|
x: 53.64684795127846
|
||||||
|
y: 243.68108125546502
|
||||||
|
positionAbsolute:
|
||||||
|
x: 53.64684795127846
|
||||||
|
y: 243.68108125546502
|
||||||
|
selected: false
|
||||||
|
sourcePosition: right
|
||||||
|
targetPosition: left
|
||||||
|
type: custom
|
||||||
|
width: 243
|
||||||
|
- data:
|
||||||
|
context:
|
||||||
|
enabled: false
|
||||||
|
variable_selector: []
|
||||||
|
desc: ''
|
||||||
|
model:
|
||||||
|
completion_params:
|
||||||
|
temperature: 0
|
||||||
|
mode: chat
|
||||||
|
name: gemma3:12b
|
||||||
|
provider: langgenius/ollama/ollama
|
||||||
|
prompt_template:
|
||||||
|
- id: 66955ec2-2239-4caa-8133-c7e8473d075c
|
||||||
|
role: system
|
||||||
|
text: You use customer issue summary to create keywords which will be used
|
||||||
|
to retrieve or search the knowledge base. Response keywords only, no opening
|
||||||
|
words.
|
||||||
|
- id: 355705f6-4ca4-432f-ad34-d7224c9bd71e
|
||||||
|
role: user
|
||||||
|
text: 'Customer issue summary: {{#1747895800944.text#}}'
|
||||||
|
selected: false
|
||||||
|
title: Generate search keywords
|
||||||
|
type: llm
|
||||||
|
variables: []
|
||||||
|
vision:
|
||||||
|
enabled: false
|
||||||
|
height: 89
|
||||||
|
id: '1747901440984'
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position:
|
||||||
|
x: 379.9711761992413
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y: -10
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positionAbsolute:
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||||||
|
x: 379.9711761992413
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|
y: -10
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||||||
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selected: false
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||||||
|
sourcePosition: right
|
||||||
|
targetPosition: left
|
||||||
|
type: custom
|
||||||
|
width: 243
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||||||
|
- data:
|
||||||
|
context:
|
||||||
|
enabled: true
|
||||||
|
variable_selector:
|
||||||
|
- '1747901650766'
|
||||||
|
- result
|
||||||
|
desc: ''
|
||||||
|
model:
|
||||||
|
completion_params:
|
||||||
|
temperature: 0
|
||||||
|
mode: chat
|
||||||
|
name: gemma3:12b
|
||||||
|
provider: langgenius/ollama/ollama
|
||||||
|
prompt_template:
|
||||||
|
- id: d6a06595-cb43-4025-b87b-9a1e35528ae0
|
||||||
|
role: system
|
||||||
|
text: "You use customer issue summary and information from knowledge as\
|
||||||
|
\ reference to create test cases. \n\nThe test cases should contain a\
|
||||||
|
\ test case name, a precondition, test steps in table format(step number,\
|
||||||
|
\ action, expected result).\n\nResponse test cases only, no opening words."
|
||||||
|
- id: 443b66c2-7ece-4851-a498-472948c1b2ce
|
||||||
|
role: user
|
||||||
|
text: 'Knowledge: {{#context#}}
|
||||||
|
|
||||||
|
Summary: {{#1747895800944.text#}}'
|
||||||
|
selected: false
|
||||||
|
structured_output_enabled: false
|
||||||
|
title: Create test case
|
||||||
|
type: llm
|
||||||
|
variables: []
|
||||||
|
vision:
|
||||||
|
enabled: false
|
||||||
|
height: 89
|
||||||
|
id: '1747901628308'
|
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|
position:
|
||||||
|
x: 590.1797369448649
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|
y: 225.57009107245284
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|
positionAbsolute:
|
||||||
|
x: 590.1797369448649
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||||||
|
y: 225.57009107245284
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||||||
|
selected: false
|
||||||
|
sourcePosition: right
|
||||||
|
targetPosition: left
|
||||||
|
type: custom
|
||||||
|
width: 243
|
||||||
|
- data:
|
||||||
|
dataset_ids:
|
||||||
|
- bV6r/AjJvrfKH9xVPmTMOCUnavWq1VX11N8GOBmLZ7+12qiBCmyR4xhjofhketH4
|
||||||
|
desc: ''
|
||||||
|
multiple_retrieval_config:
|
||||||
|
reranking_enable: true
|
||||||
|
reranking_mode: weighted_score
|
||||||
|
top_k: 4
|
||||||
|
weights:
|
||||||
|
keyword_setting:
|
||||||
|
keyword_weight: 0.3
|
||||||
|
vector_setting:
|
||||||
|
embedding_model_name: nomic-embed-text
|
||||||
|
embedding_provider_name: langgenius/ollama/ollama
|
||||||
|
vector_weight: 0.7
|
||||||
|
query_variable_selector:
|
||||||
|
- '1747901440984'
|
||||||
|
- text
|
||||||
|
retrieval_mode: multiple
|
||||||
|
selected: false
|
||||||
|
title: Knowledge Retrieval
|
||||||
|
type: knowledge-retrieval
|
||||||
|
height: 91
|
||||||
|
id: '1747901650766'
|
||||||
|
position:
|
||||||
|
x: 493.61307081588166
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||||||
|
y: 98.39009010462206
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||||||
|
positionAbsolute:
|
||||||
|
x: 493.61307081588166
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||||||
|
y: 98.39009010462206
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||||||
|
selected: false
|
||||||
|
sourcePosition: right
|
||||||
|
targetPosition: left
|
||||||
|
type: custom
|
||||||
|
width: 243
|
||||||
|
- data:
|
||||||
|
code: "\ndef main(customer_issue_summary: str, test_cases: str) -> dict:\n\
|
||||||
|
\ return {\n \"result\": customer_issue_summary + \"\\n\" + test_cases,\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: customer_issue_summary
|
||||||
|
- value_selector:
|
||||||
|
- '1747901628308'
|
||||||
|
- text
|
||||||
|
variable: test_cases
|
||||||
|
height: 53
|
||||||
|
id: '1747905952533'
|
||||||
|
position:
|
||||||
|
x: 903.3621155824662
|
||||||
|
y: 21.948842040370636
|
||||||
|
positionAbsolute:
|
||||||
|
x: 903.3621155824662
|
||||||
|
y: 21.948842040370636
|
||||||
|
selected: false
|
||||||
|
sourcePosition: right
|
||||||
|
targetPosition: left
|
||||||
|
type: custom
|
||||||
|
width: 243
|
||||||
|
viewport:
|
||||||
|
x: 170.49650459514368
|
||||||
|
y: 241.51914411649688
|
||||||
|
zoom: 0.5839836973065593
|
||||||
2957
dify/format_jira_ticket.py
Normal file
2957
dify/format_jira_ticket.py
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user