JSON Schema & Validation For Tracked Item Content

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Hey guys! Let's dive into a cool project – creating a JSON schema and implementing test-time validation for the tracked item content. This is super important for the Evidence Dictionary Migration and will help us make sure everything runs smoothly. We're going to build a solid foundation for how we handle information, making it consistent and reliable for both web and mobile platforms. Plus, it's a great way to catch any errors early on, which is always a win!

The Goal: Building a Solid JSON Schema

Our main objective is to design a formal JSON schema that clearly defines the structure of the tracked item content. Think of this schema as a blueprint that tells us exactly how everything should be organized. This is going to be super beneficial, and here’s why:

  • Documenting the API Contract: This schema acts as the official guide for our API, clearly outlining the expected format for web and mobile platforms. This helps both the backend and frontend teams. It ensures everyone is on the same page, which is essential for seamless communication and functionality.
  • Enabling Test-Time Validation: We'll use this schema to validate content entries during testing. This is like having a built-in quality control check. Any invalid entries will be flagged before they even make it into the system, saving us from potential headaches down the road. This proactive approach helps to catch bugs early in the process and ensures data integrity.
  • Following Existing Patterns: We'll follow the established patterns in vets-api. This consistency is essential as it makes the project more maintainable and easier to understand for everyone involved.

Where Will It Live?

The schema will be created at lib/lighthouse/benefits_claims/schemas/tracked_item_content.json. This location makes sense given the context of the project. Think of this as the central hub for the design.

What Will the Schema Cover?

The schema needs to be comprehensive and cover a variety of elements. Here's what we need to account for:

  • Block-Level Elements: Think of these as the larger building blocks. These include paragraph, list, and lineBreak. These elements will define how content is structured on the page.
  • Inline Elements: These are the elements that appear within the blocks, like bold, italic, link, and telephone. They add formatting and style to the content.
  • Entry Metadata: We'll also include metadata like friendly_name, long_description, next_steps, and flags. This will provide context and additional details about each entry, making it more informative.

The Implementation: Bringing the Schema to Life

Now, let's talk about the practical side of this project. We'll be using tools and techniques to make sure the schema works flawlessly. It's time to get our hands dirty and implement the plan!

TrackedItemContent::CONTENT Module

First off, we'll create the TrackedItemContent::CONTENT module. Don't worry, it doesn’t have to be super complex initially. We can start with an empty hash and build from there. As we add more content and flesh out the schema, we'll populate this module with real data. It's a great starting point for testing and validation.

RSpec Tests for Validation

RSpec tests are crucial for verifying that our schema works as expected. Here's how they'll work:

  • Looping Through Entries: The tests will loop through all the entries in TrackedItemContent::CONTENT. This ensures that every piece of content gets checked against the schema.
  • Schema Validation: Each entry will be validated against the schema. If an entry doesn't conform to the schema (e.g., missing a required field or having an incorrect data type), the test will fail.
  • Mocked Basic Entries: We'll include mocked basic entries in the tests. These are simplified versions of the data that help us verify the validation process. We can create entries with various elements and ensure they pass or fail validation, as appropriate.

Using JSON::Validator

We'll use JSON::Validator (from the json-schema gem) to perform the validations. This gem is a standard choice in vets-api, so it's a perfect fit. It provides a robust way to validate our JSON data against the schema, ensuring that everything is structured correctly.

Unit and End-to-End Tests

To ensure our code is top-notch, we're going to add unit tests. These are specific tests that will cover the individual components of our code. The end-to-end tests will go a bit further. These tests will verify the entire system, ensuring that everything works together seamlessly.

Potential Challenges and Dependencies

Every project has its hurdles, right? Let's talk about a couple we might face.

  • Schema Alignment with TypeScript: We'll need to make sure our JSON schema aligns with the TypeScript types defined in the Evidence Dictionary Migration Plan. This helps ensure that the data structure is consistent across the entire platform. This means checking that the fields, data types, and overall structure match the TypeScript definitions.
  • Mobile Team Consultation: Consulting with the mobile team is essential. Their apps consume the data we create, so we need to ensure the schema is compatible with their needs. We should ask them about specific use cases, potential requirements, and any special considerations to ensure everything works smoothly on their end. This helps us ensure the schema is not just functional, but also practical.

Acceptance Criteria: How We Know We're Done

How do we know we've succeeded? Here's a checklist for what needs to be done:

  • JSON Schema File: The file at lib/lighthouse/benefits_claims/schemas/tracked_item_content.json exists.
  • Coverage: The schema covers all block and inline types.
  • TrackedItemContent::CONTENT: The module is created.
  • RSpec Tests: Tests loop through entries and validate them against the schema.
  • Mocked Entries: Tests include basic entries to verify schema validation.
  • JSON::Validator: We're using it, consistent with vets-api.
  • Unit and End-to-End Tests: Tests are added and updated.

Conclusion: Wrapping It Up

In a nutshell, we're creating a robust, reliable system for managing tracked item content. This project ensures data consistency, validation, and a better experience for everyone involved. So, let’s get this done. We got this!