jacobs-json-doc 0.17.0a0

A JSON/YAML loader

jacobs-json-doc

A JSON/YAML loader for Python3.

PyYAML or ruamel.yaml do a good job at parsing YAML or JSON into a Python object. This package wraps ruamel.yaml to provide a little bit of extra functionality.

Line Numbers

If you're trying to do use parts of a JSON/YAML document, and you find that the structure of the document didn't conform to a schema or expectations, then you might want to display an error saying something like "On line 123, the value of foo was missing." This package allows easier access to the YAML/JSON line numbers by accessing the .line property.

Dollar References

JSON Schema, OpenAPI, AsyncAPI, and others have a concept of references like this: {"$ref": "other.json#/path/to/definition"}.

The idea here is that instead of the JSON object with the $ref you should be able to get a JSON structure from somewhere else. In this example, you should find a document called other.json and pull out a structure at /path/to/definition.

Fetcher

A fetcher object (inherits from jacobsjsondoc.fetcher.FetcherBaseClass) is able to get the JSON/YAML source. The fetcher can be different if you are loading from a database, filesystem, http, etc.

Reference Modes

Given a fetcher, jacobs-json-doc can deal with dollar references. There are two modes for how it can deal with references:

• Use DocReference objects. Anywhere in the document tree where there is a $ref reference, a DocReference object is created.
• Automatic resolution. Anywhere in the document tree where there is a $ref reference, the reference is automatically resolved and the $refs are replaced with the structures that they were referencing.

Examples

The test_document.py file is a good source for examples.

A very brief example is:

from jacobsjsondoc.document import create_document

my_document = "/path/to/example.yaml"
doc = create_document(uri=my_document)
print(doc['a']['b'])
print(doc['a']['b'].line)

If you are loading a single bit of data, without any $ref references, you can do it like this:

import jacobsjsondoc
text_data = '{"hello":"world"}'
doc = jacobsjsondoc.parse(text_data)

License

MIT