benedict.serializers.csv

Complexity

Total Complexity

17

Size/Duplication

Total Lines	60
Duplicated Lines	0 %

Importance

Changes

0

3 Methods

Rating	Name	Duplication	Size	Complexity
A	CSVSerializer.__init__()	0	2	1
B	CSVSerializer.decode()	0	20	6
C	CSVSerializer.encode()	0	25	10

# -*- coding: utf-8 -*-

from benedict.serializers.abstract import AbstractSerializer
from six import StringIO

import csv


class CSVSerializer(AbstractSerializer):

    def __init__(self):
        super(CSVSerializer, self).__init__()

    def decode(self, s, **kwargs):
        # kwargs.setdefault('delimiter', ',')
        if kwargs.pop('quote', False):
            kwargs.setdefault('quoting', csv.QUOTE_ALL)
        columns = kwargs.pop('columns', None)
        columns_row = kwargs.pop('columns_row', True)
        f = StringIO(s)
        r = csv.reader(f, **kwargs)
        ln = 0
        data = []
        for row in r:
            if ln == 0 and columns_row:
                if not columns:
                    columns = row
                ln += 1
                continue
            d = dict(zip(columns, row))
            data.append(d)
            ln += 1
        return data

    def encode(self, d, **kwargs):
        l = d
        # kwargs.setdefault('delimiter', ',')
        if kwargs.pop('quote', False):
            kwargs.setdefault('quoting', csv.QUOTE_ALL)
        kwargs.setdefault('lineterminator', '\n')
        columns = kwargs.pop('columns', None)
        columns_row = kwargs.pop('columns_row', True)
        if not columns and len(l) and isinstance(l[0], dict):
            keys = [str(key) for key in l[0].keys()]
            columns = list(sorted(keys))
        f = StringIO()
        w = csv.writer(f, **kwargs)
        if columns_row and columns:
            w.writerow(columns)
        for item in l:
            if isinstance(item, dict):
                row = [item.get(key, '') for key in columns]
            elif isinstance(item, (list, tuple, set, )):
                row = item
            else:
                row = [item]
            w.writerow(row)
        data = f.getvalue()
        return data