Skip to main content

Maps hierarchical dictionaries to flat structures

Project description

dictmapper was created to help transforming a sequence of python dictionaries to tabular format and specifically to transform json documents to be exported in csv fromat.

Usage

Create a mapper:

from dictmapper import Mapper, Mapping

class UserMapper(Mapper):

    user_id = Mapping('user_id')
    email = Mapping('email')
    Name = Mapping(lambda u: '%s %s' % (u['first_name'], u['last_name']), name='User Name')
    nickname = Mapping('nickname', default='N/A')
    street = Mapping('address/street')
    city = Mapping('address/city')
    joined_at = Mapping('joined_at', transform=lambda d: d.strftime('%Y-%m-%d'))

Sample input:

users_docs = [
    {
        'user_id': '1000001',
        'first_name': 'Test',
        'last_name': 'User',
        'email': 'user@test.com',
        'address': {
            'street': 'Example Road',
            'city': 'Emerald City',
        },
        'joined_at': datetime.now(),
    },
    {
        'user_id': '1000002',
        'first_name': 'Example',
        'last_name': 'Member',
        'nickname': 'exampy',
        'email': 'example@member.com',
        'address': {
            'street': 'Sample Road',
            'city': 'Emerald City',
        },
        'joined_at': datetime.now(),
    }
]

Output:

>>> mapper = UserMapper()
>>> mapper.headers()
['User id', 'Email', 'Name', 'Nickname', 'Street', 'City', 'Joined at']
>>> res = mapper.map(users_docs)
>>> res
[['1000001',
  'user@test.com',
  'Test User',
  'N/A',
  'Example Road',
  'Emerald City',
  '2012-03-18'],
 ['1000002',
  'example@member.com',
  'Example Member',
  'exampy',
  'Sample Road',
  'Emerald City',
  '2012-03-18']]

Export to csv

I recommend using the excellent tablib:

import tablib
data = tablib.Dataset(*res, headers=mapper.headers())
data.csv

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for dictmapper, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size dictmapper-0.1.linux-x86_64.tar.gz (4.3 kB) File type Dumb Binary Python version any Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page