json-schema.infer — luposlip/json-schema 0.4.6

eradicate-lists clj

(eradicate-lists m)

infer clj

(infer params & docs)

Schema inference from multiple documents of associative data. Takes n sample documents as input, and returns a schema that allows only data represented in at least one of the documents.

Data that is present in all documents will be required. Data only represented in a subset of documents will be optional. Data not represented at all, will not be allowed.

If a single document is passed, infer-strict is used directly.

Multiple documents can be passed either via apply: (apply (partial infer params) vector-of-inputs

Or if you have a (lazy) seq of things, infer directly: (infer params lazy-inputs) Example: (infer {:additional-props false :nullable true} (map slurp list-of-filenames))

Params: title - schema title description - schema description uri - schema uri schema - continue building on schema optional - keys that shouldn't be required additional-props - don't allow props not in schema nullable - optionality by nullability

infer->json clj

(infer->json params data)

A helper function that returns inferred schema as JSON

infer-strict clj

(infer-strict {:keys [title schema optional additional-props] :as params} data)

Naive but strict schema inference from associative data. Strict in the sense that everything is required, and nothing else is allowed - unless additional-props is explicitly set to true.

Params: optional - keys that shouldn't be required additional-props - if additional properties are allowed in schema objects

Optional params: title - schema title description - schema description uri - schema uri schema - continue building on schema

key-paths clj

(key-paths m)

Returns a sequence of all key paths in a given map using DFS walk. Converts lists to vectors to enable associative lookup.

Based on code from: https://dnaeon.github.io/clojure-map-ks-paths/

sanitize-key clj

(sanitize-key k)