feat: add Zod validation to predict/batch route (task 4.2)
Add BatchPredictRequestSchema with Zod to validate pair, timeframe, start_date, and end_date fields. Returns HTTP 400 with flattened error details on invalid input. Forward only validated data to the inference service. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2 changed files with 20 additions and 2 deletions
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@ -1,12 +1,30 @@
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import { NextRequest, NextResponse } from 'next/server';
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import { z } from 'zod';
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const INFERENCE_API_URL = process.env.INFERENCE_API_URL || 'http://localhost:8001';
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const INFERENCE_BATCH_TIMEOUT = parseInt(process.env.INFERENCE_BATCH_TIMEOUT || '120000', 10);
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const BatchPredictRequestSchema = z.object({
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pair: z.string().min(1),
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timeframe: z.string().min(1),
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start_date: z.string().min(1),
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end_date: z.string().min(1),
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});
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export async function POST(request: NextRequest) {
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try {
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const body = await request.json();
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const result = BatchPredictRequestSchema.safeParse(body);
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if (!result.success) {
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return NextResponse.json(
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{ error: 'Invalid request', details: result.error.flatten() },
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{ status: 400 }
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);
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}
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const validatedBody = result.data;
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// Forward request to Python inference service
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const controller = new AbortController();
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const timeoutId = setTimeout(() => controller.abort(), INFERENCE_BATCH_TIMEOUT);
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@ -18,7 +36,7 @@ export async function POST(request: NextRequest) {
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'Content-Type': 'application/json',
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'X-API-Key': process.env.API_KEY || '',
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},
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body: JSON.stringify(body),
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body: JSON.stringify(validatedBody),
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signal: controller.signal,
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});
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