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 companies():
__create_or_delete__(path.companies("")[:-1])
overview = io.read_json(path.assets("overview.json"))
for company in overview:
filename = (company["name"] + ".md").lower().replace("&", "")
with open(path.companies(filename), "w") as f:
f.write("---\n")
f.write("entity: %s\n" % filename[:-3])
f.write("\nlayout: company\n\n")
for key, value in company.iteritems():
if key in ["total", "commitment", "privacy", "freedom"]:
f.write("%s: %s" % (key, int(round(float(value)))))
else:
f.write("%s: %s" % (key, value))
f.write("\n")
f.write("\ndescription: one-line description\n")
f.write("website: http://example.com")
f.write("\n---\n\n")
f.write("Paragraph describing this company\n")
def companies():
__create_or_delete__(path.companies('')[:-1])
overview = io.read_json(path.assets('overview.json'))
for company in overview:
filename = (company['name'] + '.md').lower().replace('&', '')
with open(path.companies(filename), 'w') as f:
f.write('---\n')
f.write('entity: %s\n' % filename[:-3])
f.write('\nlayout: company\n\n')
for key, value in company.iteritems():
if key in ['total', 'commitment', 'privacy', 'freedom']:
f.write('%s: %s' % (key, int(round(float(value)))))
else:
f.write('%s: %s' % (key, value))
f.write('\n')
f.write('\ndescription: one-line description\n')
f.write('website: http://example.com')
f.write('\n---\n\n')
f.write('Paragraph describing this company\n')
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 indicators():
__create_or_delete__(path.indicators("")[:-1])
custom = io.read_json(path.assets("custom-questions.json"))
indicators = io.read_json(path.assets("survey.json"))
for idx, indicator in enumerate(indicators):
indicator_id = indicator["id"].lower()
# Determine if it's in the list of custom indicators
is_custom = False
if indicator_id in custom:
is_custom = True
filename = indicator_id + ".md"
with open(path.indicators(filename), "w") as f:
f.write("---\n")
f.write("sort: %s\n" % idx)
f.write("entity: %s\n" % filename[:-3])
f.write("entity_type: indicator\n")
first_letter = filename[0]
if "c" in first_letter:
f.write("category_ref: commitment\n")
f.write("category: Commitment\n")
elif "f" in first_letter:
f.write("category_ref: freedom-of-expression\n")
f.write("category: Freedom of Expression\n")
else:
f.write("category_ref: privacy\n")
f.write("category: Privacy\n")
f.write("\nlayout: indicator\n\n")
# text, id, name
for item in ["name", "text", "id"]:
f.write("%s: %s\n" % (item, indicator[item].encode("UTF-8")))
# possible answers
f.write("\nlevels:\n")
for idx, resp in enumerate(indicator["levels"]):
# first, just make sure we write level text
if resp["text"] != 0:
f.write(' - text: "%s"\n' % resp["text"].encode("UTF-8"))
f.write(" id: %s\n" % resp["id"].encode("UTF-8"))
# this is really only for c1.b at this point.
if not is_custom and resp["id"].lower() in custom:
custom_answer = custom[resp["id"].lower()]
f.write(" choices:\n")
for a in custom_answer:
f.write(' - text: "%s"\n' % a["text"].encode("UTF-8"))
f.write(' score: "%s"\n' % a["score"])
f.write("\nchoices:\n")
if is_custom:
custom_answer = custom[indicator_id]
for a in custom_answer:
f.write(' - text: "%s"\n' % a["text"].encode("UTF-8"))
f.write(' score: "%s"\n' % a["score"])
f.write("\n---\n\n")
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 indicators():
__create_or_delete__(path.indicators('')[:-1])
custom = io.read_json(path.assets('custom-questions.json'))
indicators = io.read_json(path.assets('survey.json'))
for idx, indicator in enumerate(indicators):
indicator_id = indicator['id'].lower()
# Determine if it's in the list of custom indicators
is_custom = False
if indicator_id in custom:
is_custom = True
filename = (indicator_id + '.md')
with open(path.indicators(filename), 'w') as f:
f.write('---\n')
f.write('sort: %s\n' % idx)
f.write('entity: %s\n' % filename[:-3])
f.write('entity_type: indicator\n')
first_letter = filename[0]
if 'c' in first_letter:
f.write('category_ref: commitment\n')
f.write('category: Commitment\n')
elif 'f' in first_letter:
f.write('category_ref: freedom-of-expression\n')
f.write('category: Freedom of Expression\n')
else:
f.write('category_ref: privacy\n')
f.write('category: Privacy\n')
f.write('\nlayout: indicator\n\n')
# text, id, name
for item in ['name', 'text', 'id']:
f.write('%s: %s\n' % (item, indicator[item].encode('UTF-8')))
# possible answers
f.write('\nlevels:\n')
for idx, resp in enumerate(indicator['levels']):
# first, just make sure we write level text
if resp['text'] != 0:
f.write(' - text: "%s"\n' % resp['text'].encode('UTF-8'))
f.write(' id: %s\n' % resp['id'].encode('UTF-8'))
# this is really only for c1.b at this point.
if not is_custom and resp['id'].lower() in custom:
custom_answer = custom[resp['id'].lower()]
f.write(' choices:\n')
for a in custom_answer:
f.write(' - text: "%s"\n' %
a['text'].encode('UTF-8'))
f.write(' score: "%s"\n' % a['score'])
f.write('\nchoices:\n')
if is_custom:
custom_answer = custom[indicator_id]
for a in custom_answer:
f.write(' - text: "%s"\n' % a['text'].encode('UTF-8'))
f.write(' score: "%s"\n' % a['score'])
f.write('\n---\n\n')
