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Torben Sorensen d004efb84b
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testing ADR - architectural decisions
2025-12-12 10:57:49 -08:00

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ADR-003: Standardized Input Validation using Middleware

Date: 2025-12-12

Status: Proposed

Context

Our Express route handlers currently perform manual validation of request parameters, queries, and bodies. This involves repetitive boilerplate code using parseInt, isNaN, and type checks like Array.isArray. This approach has several disadvantages:

  1. Code Duplication: The same validation logic (e.g., checking for a valid integer ID) is repeated across many different routes.
  2. Cluttered Business Logic: Route handlers are cluttered with validation code, obscuring their primary business logic.
  3. Inconsistent Error Messages: Manual validation can lead to inconsistent error messages for similar validation failures across the API.
  4. Error-Prone: It is easy to forget a validation check, leading to unexpected data types being passed to service and repository layers, which could cause runtime errors.

Decision

We will adopt a schema-based approach for input validation using the zod library and a custom Express middleware.

  1. Adopt zod for Schema Definition: We will use zod to define clear, type-safe schemas for the params, query, and body of each API request. zod provides powerful and declarative validation rules and automatically infers TypeScript types.

  2. Create a Reusable Validation Middleware: A generic validateRequest(schema) middleware will be created. This middleware will take a zod schema, parse the incoming request against it, and handle success and error cases.

    • On successful validation, the parsed and typed data will be attached to the req object (e.g., req.body will be replaced with the parsed body), and next() will be called.
    • On validation failure, the middleware will call next() with a custom ValidationError containing a structured list of issues, which ADR-001's errorHandler can then format into a user-friendly 400 Bad Request response.
  3. Refactor Routes: All route handlers will be refactored to use this new middleware, removing all manual validation logic.

Example Usage

// In flyer.routes.ts

import { z } from 'zod';
import { validateRequest } from '../middleware/validation';

// Define the schema for the GET /:id route
const getFlyerSchema = z.object({
  params: z.object({
    id: z.string().pipe(z.coerce.number().int().positive()),
  }),
});

// Apply the middleware to the route
router.get('/:id', validateRequest(getFlyerSchema), async (req, res, next) => {
    try {
        // req.params.id is now guaranteed to be a positive number
        const flyerId = req.params.id;
        const flyer = await db.flyerRepo.getFlyerById(flyerId);
        res.json(flyer);
    } catch (error) {
        next(error);
    }
});

Consequences

Positive

DRY and Declarative: Validation logic is defined once in a schema and removed from route handlers. Improved Readability: Route handlers become much cleaner and focus exclusively on their core business logic. Type Safety: zod schemas provide strong compile-time and runtime type safety, reducing bugs. Consistent and Detailed Errors: The errorHandler can be configured to provide consistent, detailed validation error messages for all routes (e.g., "Query parameter 'limit' must be a positive integer"). Robustness: Prevents invalid data from ever reaching the service or database layers.

Negative

New Dependency: Introduces zod as a new project dependency. Learning Curve: Developers need to learn the zod schema definition syntax. Refactoring Effort: Requires a one-time effort to create schemas and refactor all existing routes to use the validateRequest middleware.