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.
18 lines
422 B
JSON
18 lines
422 B
JSON
{
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"name": "@regalami/faceai-backend",
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"private": true,
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"type": "module",
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"scripts": {
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"dev": "node --watch src/server.js",
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"build": "node -e \"console.log('backend build not required')\"",
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"start": "node src/server.js"
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},
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"dependencies": {
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"bullmq": "^5.48.1",
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"cookie-parser": "^1.4.7",
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"cors": "^2.8.5",
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"express": "^4.21.2",
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"ioredis": "^5.4.1",
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"multer": "^2.0.0"
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}
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}
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