> For the complete documentation index, see [llms.txt](https://program.hackyourfuture.dk/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://program.hackyourfuture.dk/course-content/backend/node/week2/session-materials/validation-and-error-models.md).

# 8. Validation and error models

This file supports the Week 2 segment on error model and validation design.

## Goals for this segment

* Design a **consistent error format** for the Snippets API.
* Decide which validations to enforce and where (middleware vs per-endpoint).
* Make sure the design is reflected in both:
  * Your Express implementation.
  * Your OpenAPI specification.

## Error format

Recommend something simple such as:

```json
{ "error": "Human-readable message" }
```

or

```json
{
  "error": {
    "code": "SNIPPET_NOT_FOUND",
    "message": "Snippet with id 42 was not found"
  }
}
```

The exact format is less important than **being consistent** across endpoints.

## Validation examples

For the Snippets API, talk through validations like:

* `POST /api/snippets`
  * `title` is required and non-empty.
  * `contents` is required and non-empty.
  * Optional fields like `is_private` have sensible defaults.
* `PUT /api/snippets/:id`
  * Reject updates with empty `title` or `contents`.
  * Return `404` when `id` does not exist.
* Any `/:id` route
  * Validate that `id` is a number before hitting the database.

Connect these decisions back to status codes from Week 1:

* `400 Bad Request` for invalid inputs.
* `404 Not Found` when a resource is missing.
* `500 Internal Server Error` for unexpected issues.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://program.hackyourfuture.dk/course-content/backend/node/week2/session-materials/validation-and-error-models.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
