MaddoScientisto
bbb9c193ce
- Introduced a new `processor` service in the Docker Compose setup to handle face matching jobs. - Configured Redis as a job queue and state management system for processing searches. - Updated the backend to enqueue jobs and manage user locks using Redis. - Added environment variables for Redis configuration and runtime paths. - Created technical design documentation for the processor service outlining architecture, queue model, and search lifecycle. - Updated package.json and package-lock.json to include dependencies for BullMQ and ioredis in the processor workspace. - Added sample PKL files for local testing in the `test_pkl` directory.
21 lines
758 B
JSON
21 lines
758 B
JSON
{
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"name": "faceai",
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"private": true,
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"workspaces": [
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"apps/frontend",
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"apps/backend",
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"apps/processor"
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],
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"scripts": {
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"dev": "concurrently \"npm:dev:backend\" \"npm:dev:frontend\"",
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"dev:backend": "npm run dev --workspace @regalami/faceai-backend",
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"dev:frontend": "npm run dev --workspace @regalami/faceai-frontend",
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"dev:processor": "npm run dev --workspace @regalami/faceai-processor",
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"build": "npm run build --workspace @regalami/faceai-frontend && npm run build --workspace @regalami/faceai-backend",
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"start": "npm run start --workspace @regalami/faceai-backend",
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"start:processor": "npm run start --workspace @regalami/faceai-processor"
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},
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"devDependencies": {
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"concurrently": "^9.1.2"
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}
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}
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