Copy the Chatwoot (v4.14.0) frontend runnable subset into frontend/ for customization: - app/javascript/ (Vue SPA: dashboard, widget, sdk, portal, superadmin) - app/views/ (ERB templates for vite-plugin-ruby entrypoint resolution) - app/helpers/, app/assets/ (Rails view helpers, static assets) - enterprise/ (Enterprise edition frontend overlay) - config/vite.json, vite.config.ts, bin/vite (Vite-Rails toolchain) - package.json, pnpm-lock.yaml, tailwind/postcss/eslint configs - Gemfile, Gemfile.lock (vite_rails gem for bin/vite binstub) Excluded Rails backend: controllers, models, services, jobs, mailers, policies, db, lib, spec, public, node_modules. Update references to the new frontend location: - .gitignore: exclude frontend build artifacts (node_modules, tmp, packs), keep frontend/bin/ and frontend/vendor/ via negation - backend/scripts/parity_frontend_smoke.sh: CHATWOOT_DIR default reference/chatwoot -> ../frontend - backend/scripts/parity_frontend_browser_smoke.mjs: same default update - AGENTS.md: add frontend section with Rails/Vite coupling notes - README: architecture tree includes frontend/
43 lines
1.2 KiB
YAML
43 lines
1.2 KiB
YAML
type: object
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properties:
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name:
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type: string
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description: Rule name
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example: Add label on message create event
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description:
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type: string
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description: The description about the automation and actions
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example: Add label support and sales on message create event if incoming message content contains text help
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event_name:
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type: string
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enum:
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- conversation_created
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- conversation_updated
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- conversation_resolved
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- message_created
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example: message_created
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description: The event when you want to execute the automation actions
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active:
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type: boolean
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description: Enable/disable automation rule
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actions:
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type: array
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description: Array of actions which you want to perform when condition matches, e.g add label support if message contains content help.
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items:
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type: object
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example:
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action_name: add_label
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action_params:
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- support
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conditions:
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type: array
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description: Array of conditions on which conversation filter would work, e.g message content contains text help.
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items:
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type: object
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example:
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attribute_key: content
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filter_operator: contains
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query_operator: OR
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values:
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- help
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