def create(filename):
raw = io.read_csv_as_dictionary(path.raw(filename))
d = []
# camelcase company name for consistency
for x in raw:
company = name.camel_case(x['Company'])
# true/false whether telco
is_telco = 'false'
if 'telco' in x['Type'].lower():
is_telco = 'true'
d.append({
'name': company,
'id': name.filename(company),
'display': x['Company'],
'total': x['Total'],
'commitment': x['Commitment'],
'freedom': x['Freedom of Expression'],
'privacy': x['Privacy'],
'telco': is_telco
})
# io.write_json(path.assets('overview.json'), d)
io.write_json_pretty(path.assets('overview.json'), d)
def create(filename):
raw = io.read_csv(path.raw(filename))
# input file uses empty rows to separate questions.
groups = array.slice_arr(raw, array.is_empty_row)
# find where each indicator is based on row length
survey = []
for grouping in groups:
# strip empty cells
stripped = []
for row in grouping:
stripped.append([item for item in row if item != ''])
# responses all occupy more than one cell in a row
responses = [item for item in stripped if len(item) > 1]
# single cells are either separators, or question texts
single_cells = [item[0] for item in stripped if len(item) == 1]
# these are separators - check for them
checklist = 'checklist elements'
categories = 'answer categories'
# more than one here means there are follow-ups
question = [item for item in single_cells if checklist not in item.lower()
and categories not in item.lower()]
if len(question) > 1:
followups = question[1:]
else:
followups = 0
# separate name and text
question = question[0]
line_break = question.find('\n')
if line_break > 0:
name = question[:line_break]
question = question[line_break+1:]
else:
name = question
question = ''
# id is 1st two chars
question_id = name[0:name.find('.')]
survey.append({
'id': question_id,
'name': name,
'text': question,
'follow': followups,
'levels': [{
'id': item[0].strip(),
'text': item[1].strip() if categories not in item[1].lower() else 0,
'responses': item[2:]
} for item in responses]
})
io.write_json(path.assets('survey.json'), survey)
def create(filename):
raw = io.read_csv_as_dictionary(path.raw(filename))
d = []
# camelcase company name for consistency
for x in raw:
company = name.camel_case(x['Company'])
# true/false whether telco
is_telco = 'false'
if 'telco' in x['Type'].lower():
is_telco = 'true'
d.append({
'name': company,
'id': name.filename(company),
'display': x['Company'],
'total': x['Total'],
'commitment': x['Commitment'],
'freedom': x['Freedom of Expression'],
'privacy': x['Privacy'],
'telco': is_telco
})
io.write_json(path.assets('overview.json'), d)
def create(filename):
raw = io.read_csv(path.raw(filename))
# input file uses empty rows to separate questions.
groups = array.slice_arr(raw, array.is_empty_row)
# find where each indicator is based on row length
survey = []
for grouping in groups:
# strip empty cells
stripped = []
for row in grouping:
stripped.append([item for item in row if item != ''])
# responses all occupy more than one cell in a row
responses = [item for item in stripped if len(item) > 1]
# single cells are either separators, or question texts
single_cells = [item[0] for item in stripped if len(item) == 1]
# these are separators - check for them
checklist = 'checklist elements'
categories = 'answer categories'
# more than one here means there are follow-ups
question = [
item for item in single_cells if checklist not in item.lower()
and categories not in item.lower()
]
if len(question) > 1:
followups = question[1:]
else:
followups = 0
# separate name and text
question = question[0]
line_break = question.find('\n')
if line_break > 0:
name = question[:line_break]
question = question[line_break + 1:]
else:
name = question
question = ''
# id is 1st two chars
question_id = name[0:name.find('.')]
survey.append({
'id':
question_id,
'name':
name,
'text':
question,
'follow':
followups,
'levels': [{
'id':
item[0].strip(),
'text':
item[1].strip() if categories not in item[1].lower() else 0,
'responses':
item[2:]
} for item in responses]
})
io.write_json(path.assets('survey.json'), survey)