Discover a workaround for implementing `minContains` and `maxContains` in JSON Schema Validation Draft-07, and learn how to ensure that properties meet specific conditions.
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Understanding JSON Schema Validation: A Common Challenge
In the realm of JSON schema validation, one common issue developers encounter involves implementing constraints, specifically minContains and maxContains. These keywords were introduced in the latest JSON Schema Validation release (2019-09) but are absent in prior drafts, such as Draft-07. This limitation has led many developers to seek effective workarounds to maintain strict data structure validation, especially when requiring conditions on the quantity of occurrences of a specified sub-schema.
What Are minContains and maxContains?
Before delving into possible solutions, let's clarify what minContains and maxContains do in JSON schema:
minContains: This keyword specifies the minimum number of occurrences that a condition must be fulfilled within an array. For example, if you need at least two values to be true, minContains would enforce this constraint.
maxContains: Conversely, this keyword caps the maximum number of occurrences of a condition. If you want to allow no more than three true values, maxContains will accomplish this.
The Challenge with Draft-07
Given the absence of minContains and maxContains in Draft-07, developers are left questioning how to validate their data structures effectively. For example, you may have an array of answers where you wish to ensure that the isCorrect property is true at least twice:
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In this scenario, while you can successfully check if isCorrect is true at least once using contains, achieving validation for two occurrences is not straightforward in Draft-07.
Proposed Solution
Utilizing the contains Keyword: You can validate that there is at least one occurrence of isCorrect being true with the following schema snippet:
[[See Video to Reveal this Text or Code Snippet]]
Count the Occurrences Manually: Although no direct equivalent exists for minContains, you can manually count the occurrences of isCorrect being true within your application logic before passing the data to the schema validator. This approach, while not ideal, serves as a temporary measure until utilizing a newer draft becomes feasible.
Plan for Future Updates: If you're frequently working with JSON Schema validation, consider transitioning to Draft-2019-09, where minContains and maxContains are officially supported. This will streamline your validation processes, allowing you to enforce any necessary constraints more cleanly and efficiently.
Conclusion
In summary, while Draft-07 JSON Schema validation does pose the challenge of lacking minContains and maxContains, understanding the functionality of existing keywords and implementing alternative validation methods can help bridge the gap. As you move forward, be mindful of the updates in JSON Schema that may provide enhanced validation capabilities in the future. Transitioning to newer drafts will empower your validation strategies and offer greater flexibility in defining data requirements.
If you have further questions or need help with specific scenarios, please don't hesitate to reach out!
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