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Tool to flatten stream of JSON-like objects, configured via schema

Project description

A tool to flatten JSON-like objects, allowing to configure via an annotated JSON schema


  • Flattens Python dictionaries using a JSON schema
  • Supports per-field configuration via the schema


>>> from flatson import Flatson
>>> schema = {
        "$schema": "",
        "type": "object",
        "properties": {
            "name": {"type": "string"},
            "age": {"type": "number"},
            "address": {
                "type": "object",
                "properties": {"city": {"type": "string"}, "street": {"type": "string"}}
            "skills": {"type": "array", "items": {"type": "string"}}
>>> sample = {
            "name": "Claudio", "age": 42,
            "address": {"city": "Paris", "street": "Rue de Sevres"},
            "skills": ["hacking", "soccer"]}
>>> f = Flatson(schema)
>>> f.fieldnames
['', 'address.street', 'age', 'name', 'skills']
>>> f.flatten(sample)
['Paris', 'Rue de Sevres', 42, 'Claudio', '["hacking","soccer"]']

You can get a dict with the field names order preserved:

>>> f.flatten_dict(sample)
OrderedDict([('', 'Paris'), ('address.street', 'Rue de Sevres'), ('age', 42), ('name', 'Claudio'), ('skills', '["hacking","soccer"]')])

You can also configure array serialization behavior through the schema (default JSON):

>>> schema = {
        "$schema": "",
        "type": "object",
        "properties": {
            "name": {"type": "string"},
            "skills": {
                "type": "array",
                "items": {"type": "string"},
                "flatson_serialize": {"method": "join_values"},
>>> f = Flatson(schema)
>>> f.flatten({"name": "Salazar", "skills": ["hacking", "socker", "partying"]})
['Salazar', 'hacking,socker,partying']


0.1.0 (2015-06-02)

  • First release on PyPI.

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