Add specifications for gamification, generation, and R42 chat services
- 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.
This commit is contained in:
137
app/pb_migrations/1779544842_created_micro_learnings.js
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137
app/pb_migrations/1779544842_created_micro_learnings.js
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/// <reference path="../pb_data/types.d.ts" />
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migrate((db) => {
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const collection = new Collection({
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"id": "li75ivkr87g3r94",
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"created": "2026-05-23 14:00:42.269Z",
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"updated": "2026-05-23 14:00:42.269Z",
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"name": "micro_learnings",
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"type": "base",
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"system": false,
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"schema": [
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{
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"system": false,
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"id": "ihu0d60m",
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"name": "topic",
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"type": "relation",
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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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"collectionId": "1ixwljuo2xqxcqj",
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"cascadeDelete": false,
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"minSelect": null,
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"maxSelect": 1,
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"displayFields": null
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}
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},
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{
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"system": false,
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"id": "wdz1hhs6",
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"name": "type",
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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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"concept_explainer",
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"scenario_quiz",
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"misconceptions",
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"how_to",
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"comparison_card",
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"reflection_prompt",
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"flashcard_set",
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"case_study",
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"glossary_anchor",
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"myth_vs_evidence"
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]
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}
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},
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{
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"system": false,
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"id": "1ccr13b7",
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"name": "content",
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"type": "json",
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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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"maxSize": 2097152
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}
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},
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{
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"system": false,
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"id": "vdti3gns",
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"name": "status",
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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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"queued",
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"generated",
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"published",
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"rejected"
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]
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}
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},
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{
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"system": false,
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"id": "hxxcrfw8",
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"name": "generation_model",
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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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{
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"system": false,
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"id": "grwpzlhc",
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"name": "generated_at",
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"type": "date",
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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": "",
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"max": ""
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}
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},
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{
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"system": false,
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"id": "wexudgfp",
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"name": "published_at",
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"type": "date",
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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": "",
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"max": ""
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}
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}
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],
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"indexes": [],
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"listRule": null,
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"viewRule": null,
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"createRule": null,
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"updateRule": null,
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"deleteRule": null,
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"options": {}
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});
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return Dao(db).saveCollection(collection);
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}, (db) => {
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const dao = new Dao(db);
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const collection = dao.findCollectionByNameOrId("li75ivkr87g3r94");
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return dao.deleteCollection(collection);
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})
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