The patternProperties docs themselves have some more useful pointers that can save you time. If a key matches multiple patterns, there is no guarantee of which one will be updated. GenSON still prefers properties to patternProperties if a property already exists that matches one of your patterns, the normal property will be updated, not the pattern property. GenSON is written in Python, so it uses the Python flavor of RegEx. There are a few gotchas you should be aware of here: > from genson import SchemaBuilder > builder = SchemaBuilder () > builder. SchemaBuilder instances can be loaded up with existing schemas and objects before being serialized. SchemaBuilder is the basic schema generator class. The -encoding option is only available in Python 3. The "$schema" keyword will not be included in the The value of the '$schema' keyword (defaults to Pretty-print the output, indenting SPACES spaces.įile containing a JSON Schema (can be specified Use ENCODING instead of the default system encoding Option is omitted, the parser will try to auto-detect Will get converted to a whitespace character. Use this option if the input filesĬontain multiple JSON objects/schemas. h, -help Show this help message and exit. Object Files containing JSON objects (defaults to stdin if no Compatible with JSON-Schema Draft 4 and above. Generate one, unified JSON Schema from one or more JSON objects and/or JSON For usage info, run with -help: $ genson -help usage: genson The package includes a genson executable that allows you to access this functionality from the command line. Installation $ pip install genson CLI Tool Note that "$ref" and id are also not supported, so GenSON will not dereference linked nodes when building a schema. If you feed it schemas with advanced keywords, it will just blindly pass them on to the final schema. You should be aware that this limited vocabulary could cause GenSON to violate rules 1 and 2. Its purpose is to generate the basic structure so that you can skip the boilerplate and focus on the details of the schema.Ĭurrently, GenSON only deals with these keywords: This is mainly because it doesn’t know the specifics of your data model, and it tries to avoid guessing them. It is important to note that GenSON uses only a subset of JSON Schema’s capabilities. GenSON is compatible with JSON Schema Draft 6 and above. The generated schema should be as strict as possible given the first 2 rules. (there is one glaring exception to this, detailed below) GenSON’s schema builder follows these three rules:Įvery object it is given must validate under the generated schema.Īny object that is valid under any schema it is given must also validate under the generated schema. It was originally built to describe the common structure of a large number of JSON objects, and it uses its merging ability to generate a single schema from any number of JSON objects and/or schemas. GenSON’s core function is to take JSON objects and generate schemas that describe them, but it is unique in its ability to merge schemas. If you are coming from Java and need to create JSON objects in Python, you want Python’s builtin json library.) This is not the Python equivalent of the Java Genson library. GenSON is a powerful, user-friendly JSON Schema generator built in Python.
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