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
779 B
SQL
18 lines
779 B
SQL
CREATE TABLE IF NOT EXISTS "image_classifications" (
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"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
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"predicted_disease_slug" varchar(80) NOT NULL,
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"confidence" real NOT NULL,
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"probabilities" jsonb NOT NULL,
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"image_url" text NOT NULL,
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"original_file_name" varchar(240) NOT NULL,
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"uploader_public_id" varchar(160) NOT NULL,
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"uploader_payload" jsonb NOT NULL,
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"created_at" timestamp with time zone DEFAULT now() NOT NULL
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);
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--> statement-breakpoint
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DO $$ BEGIN
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ALTER TABLE "image_classifications" ADD CONSTRAINT "image_classifications_predicted_disease_slug_disease_catalog_slug_fk" FOREIGN KEY ("predicted_disease_slug") REFERENCES "public"."disease_catalog"("slug") ON DELETE no action ON UPDATE no action;
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EXCEPTION
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WHEN duplicate_object THEN null;
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END $$;
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