Asep Haryana Saputra
15c6be9e84
- Extend shared types for image classification, including PredictionProbability, UploaderMetadata, and ImageClassificationRecord. - Create image_classifications table in the database with necessary fields and foreign key constraints. - Implement disease mappers to convert database rows to shared disease records. - Develop uploader client to handle image uploads to external service. - Create image model service to load and classify images using TensorFlow.js. - Add API routes for image classification, including GET for history and POST for new classifications. - Implement frontend components for image classification form and display results. - Update dashboard to integrate image classification functionality and display results. - Document implementation plan for backend image classification.
18 lines
604 B
TypeScript
18 lines
604 B
TypeScript
import type { DiseaseCatalogItem, DiseaseSlug, DiseaseLabel, RiskLevel } from '@zeavis/shared';
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import type { diseaseCatalog } from '../db/schema';
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export function toDisease(row: typeof diseaseCatalog.$inferSelect): DiseaseCatalogItem {
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return {
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slug: row.slug as DiseaseSlug,
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label: row.label as DiseaseLabel,
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commonName: row.commonName,
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summary: row.summary,
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description: row.description,
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symptoms: row.symptoms,
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recommendations: row.recommendations,
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riskLevel: row.riskLevel as RiskLevel,
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accentColor: row.accentColor,
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displayOrder: row.displayOrder,
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};
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}
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