Files
edx-platform/lms/djangoapps/analytics/csvs.py
2013-08-02 09:52:15 -04:00

77 lines
1.9 KiB
Python

"""
Student and course analytics.
Format and create csv responses
"""
import csv
from django.http import HttpResponse
def create_csv_response(filename, header, datarows):
"""
Create an HttpResponse with an attached .csv file
header e.g. ['Name', 'Email']
datarows e.g. [['Jim', 'jim@edy.org'], ['Jake', 'jake@edy.org'], ...]
"""
response = HttpResponse(mimetype='text/csv')
response['Content-Disposition'] = 'attachment; filename={0}'\
.format(filename)
csvwriter = csv.writer(
response,
dialect='excel',
quotechar='"',
quoting=csv.QUOTE_ALL)
csvwriter.writerow(header)
for datarow in datarows:
encoded_row = [unicode(s).encode('utf-8') for s in datarow]
csvwriter.writerow(encoded_row)
return response
def format_dictlist(dictlist):
"""
Convert FROM [
{
'label1': 'value-1,1',
'label2': 'value-1,2',
'label3': 'value-1,3',
'label4': 'value-1,4',
},
{
'label1': 'value-2,1',
'label2': 'value-2,2',
'label3': 'value-2,3',
'label4': 'value-2,4',
}
]
TO {
'header': ['label1', 'label2', 'label3', 'label4'],
'datarows': [['value-1,1', 'value-1,2', 'value-1,3', 'value-1,4'],
['value-2,1', 'value-2,2', 'value-2,3', 'value-2,4']]
}
Assumes all keys for input dicts are the same.
"""
if len(dictlist) > 0:
header = dictlist[0].keys()
else:
header = []
def dict_to_entry(dct):
""" Convert dictionary to list for a csv row """
ordered = sorted(dct.items(), key=lambda (k, v): header.index(k))
vals = [v for (_, v) in ordered]
return vals
datarows = map(dict_to_entry, dictlist)
return {
'header': header,
'datarows': datarows,
}