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j3ssie
1403d20a4d
- Add LLM executor supporting OpenAI vision, tool calling, embeddings, and structured outputs - Introduce event emitter/receiver workflows with deduplication and filtering (generate_event functions) - Add workflow extends/override system enabling inheritance chains and step merge modes - Update function naming to snake_case across all testdata (fileExists→file_exists, etc.) - Add comprehensive test fixtures for linter, events, CDN, step dependencies, and extends workflows
56 lines
1.3 KiB
YAML
56 lines
1.3 KiB
YAML
name: test-debounce-dedupe
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kind: module
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desc: Test workflow for debounce and deduplication features
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params:
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- name: output
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default: "/tmp/debounce-dedupe-test"
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triggers:
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# Watch trigger with debounce - waits 500ms after last change before triggering
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- name: on-asset-change
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on: watch
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path: "{{output}}/assets.txt"
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debounce: 500ms
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enabled: true
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input:
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type: file
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path: "{{output}}/assets.txt"
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# Event trigger with deduplication - ignores duplicate events within 10s window
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- name: on-new-asset
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on: event
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event:
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topic: "assets.new"
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dedupe_key: "{{event.source}}-{{event.data.url}}"
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dedupe_window: 10s
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enabled: true
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input:
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type: event_data
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field: url
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name: target
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# Event trigger with filters and deduplication
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- name: on-critical-vuln
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on: event
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event:
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topic: "vulnerabilities.new"
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filters:
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- "event.data.severity == 'critical'"
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dedupe_key: "{{event.data.template}}-{{event.data.host}}"
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dedupe_window: 5m
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enabled: true
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input:
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type: event_data
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field: host
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name: target
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steps:
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- name: log-event
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type: function
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call: log_info("Trigger fired: {{_step_name}}")
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- name: process-target
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type: bash
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run: echo "Processing target: {{target}}"
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