97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
"""
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Student and course analytics.
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Format and create csv responses
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"""
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import csv
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from django.http import HttpResponse
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def create_csv_response(filename, header, datarows):
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"""
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Create an HttpResponse with an attached .csv file
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header e.g. ['Name', 'Email']
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datarows e.g. [['Jim', 'jim@edy.org'], ['Jake', 'jake@edy.org'], ...]
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"""
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response = HttpResponse(mimetype='text/csv')
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response['Content-Disposition'] = 'attachment; filename={0}'\
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.format(filename)
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csvwriter = csv.writer(
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response,
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dialect='excel',
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quotechar='"',
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quoting=csv.QUOTE_ALL)
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csvwriter.writerow(header)
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for datarow in datarows:
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encoded_row = [unicode(s).encode('utf-8') for s in datarow]
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csvwriter.writerow(encoded_row)
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return response
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def format_dictlist(dictlist):
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"""
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Convert FROM [
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{
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'label1': 'value-1,1',
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'label2': 'value-1,2',
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'label3': 'value-1,3',
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'label4': 'value-1,4',
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},
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{
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'label1': 'value-2,1',
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'label2': 'value-2,2',
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'label3': 'value-2,3',
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'label4': 'value-2,4',
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}
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]
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TO {
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'header': ['label1', 'label2', 'label3', 'label4'],
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'datarows': [['value-1,1', 'value-1,2', 'value-1,3', 'value-1,4'],
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['value-2,1', 'value-2,2', 'value-2,3', 'value-2,4']]
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}
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Assumes all keys for input dicts are the same.
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"""
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if len(dictlist) > 0:
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header = dictlist[0].keys()
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else:
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header = []
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def dict_to_entry(dct):
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""" Convert dictionary to list for a csv row """
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ordered = sorted(dct.items(), key=lambda (k, v): header.index(k))
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vals = [v for (_, v) in ordered]
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return vals
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datarows = map(dict_to_entry, dictlist)
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return {
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'header': header,
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'datarows': datarows,
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}
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def format_instances(instances, features):
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"""
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Convert a list of instances into a header list and datarows list.
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`header` is just `features` e.g. ['username', 'email']
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`datarows` is a list of lists, each sublist representing a row in a table
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e.g. [['username1', 'email1@email.com'], ['username2', 'email2@email.com']]
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for `instances` of length 2.
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`instances` is a list of instances, e.g. list of User's
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`features` is a list of features
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a feature is a string for which getattr(obj, feature) is valid
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Returns header and datarows, formatted for input in create_csv_response
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"""
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header = features
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datarows = [[getattr(x, f) for f in features] for x in instances]
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return header, datarows
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