Yahya Alhinai
47 lines
1.5 KiB
TypeScript
47 lines
1.5 KiB
TypeScript
import { MongoClient } from 'mongodb';
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const uri = process.env.MONGODB_URI!;
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const DB = 'podman';
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async function main() {
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const client = new MongoClient(uri);
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await client.connect();
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const db = client.db(DB);
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await db.collection('pods').createIndex({ id: 1 }, { unique: true });
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// High-volume observations expire after 6h to keep the cluster light.
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await db.collection('observations').createIndex({ observedAt: 1 }, { expireAfterSeconds: 21600 });
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await db.collection('observations').createIndex({ podId: 1, engineerId: 1 });
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await db.collection('collisions').createIndex({ podId: 1, detectedAt: -1 });
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await db.collection('interventions').createIndex({ id: 1 }, { unique: true });
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await db.collection('team_model').createIndex({ podId: 1 }, { unique: true });
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await db.collection('policy').createIndex({ pattern: 1 }, { unique: true });
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// Atlas Vector Search index for collision-pattern recall (Voyage voyage-3 = 1024 dims).
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try {
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await db.command({
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createSearchIndexes: 'memory_vectors',
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indexes: [
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{
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name: 'vector_index',
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type: 'vectorSearch',
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definition: {
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fields: [
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{ type: 'vector', path: 'embedding', numDimensions: 1024, similarity: 'cosine' },
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],
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},
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},
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],
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});
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} catch (e) {
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console.warn('vector index (create in Atlas UI if this errors):', (e as Error).message);
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}
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console.log('PodMan DB initialized.');
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await client.close();
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}
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main().catch((e) => {
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console.error(e);
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process.exit(1);
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});
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