472685f0d7
- Introduced gamification service spec detailing responsibilities, API surface, XP calculation, levels, streaks, badges, milestone cards, and heatmap data. - Added generation service spec outlining the process for generating micro learning content, including API endpoints, AI call configuration, prompt strategies, and error handling. - Created R42 chat service spec covering chatbot interactions, retrieval pipeline, prompt construction, response generation, and stateless design principles.
53 lines
1.1 KiB
JavaScript
53 lines
1.1 KiB
JavaScript
/// <reference path="../pb_data/types.d.ts" />
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migrate((db) => {
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const dao = new Dao(db)
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const collection = dao.findCollectionByNameOrId("_pb_users_auth_")
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// add
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collection.schema.addField(new SchemaField({
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"system": false,
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"id": "mx3g38jd",
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"name": "role",
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"type": "select",
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"required": true,
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"presentable": false,
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"unique": false,
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"options": {
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"maxSelect": 1,
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"values": [
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"admin",
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"employee"
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]
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}
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}))
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// add
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collection.schema.addField(new SchemaField({
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"system": false,
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"id": "pgfyrf71",
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"name": "display_name",
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"type": "text",
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"required": false,
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"presentable": false,
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"unique": false,
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"options": {
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"min": null,
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"max": null,
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"pattern": ""
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}
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}))
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return dao.saveCollection(collection)
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}, (db) => {
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const dao = new Dao(db)
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const collection = dao.findCollectionByNameOrId("_pb_users_auth_")
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// remove
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collection.schema.removeField("mx3g38jd")
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// remove
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collection.schema.removeField("pgfyrf71")
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return dao.saveCollection(collection)
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})
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