def ws_38_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
topic = [t for t in MAJOR_TOPICS if t[0] == row[1]][0][1]
writer.writerow({
'Topic': clean_title(topic),
'Answer': row[0],
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': counts_list[row]
})
def ws_41_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
all_topics = [y for x in TOPICS for y in x[1]]
topic = [x[1] for x in all_topics if x[0] == row[1]][0]
writer.writerow({
'Topic': clean_title(topic),
'Answer': row[0],
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': counts_list[row]
})
def ws_09_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
topic = [y for x in TOPICS for y in x[1] if y[0] == row[1]][0][1]
gender = get_gender(row[0])
writer.writerow({
'Topic': clean_title(topic),
'Gender': gender,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': counts_list[row]
})
def ws_30_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
for reporter in counts_list[row]:
gender = get_gender(reporter[0])
topic = [t for t in MAJOR_TOPICS if t[0] == reporter[1]][0][1]
writer.writerow({
'Topic': clean_title(topic),
'Gender': gender,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': counts_list[row][reporter]
})
def ws_102_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
agree_disagree, topic = row
topic = [t for t in MAJOR_TOPICS if t[0] == topic][0][1]
agree_disagree = 'Agree' if agree_disagree == 1 else 'Disagree'
count = counts_list[row]
writer.writerow({
'Topic': clean_title(topic),
'Agree/Disagree': agree_disagree,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': count
})
def ws_101_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
gender, topic = row
gender = get_gender(gender)
topic = [t for t in MAJOR_TOPICS if t[0] == topic][0][1]
count = counts_list[row]
writer.writerow({
'Topic': clean_title(topic),
'Gender': gender,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': count
})
def ws_92_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
topic, agree_disagree = row
count = counts_list[row]
topic = [t for t in MAJOR_TOPICS if t[0] == topic][0][1]
agree_disagree = 'Agree' if agree_disagree == 1 else 'Disagree'
writer.writerow({
'Topic': clean_title(topic),
'Answer': agree_disagree,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': regions_code[region],
'Count': count
})
def ws_48_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
topic = [t for t in MAJOR_TOPICS if t[0] == row[1]][0][1]
answer = 'Agree' if row[0] == 1 else 'Disagree'
gender = get_gender(kwargs['gender'])
writer.writerow({
'Topic': clean_title(topic),
'Gender': gender,
'Answer': answer,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': counts_list[row]
})
def ws_93_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
topic, yes_no = row
count = counts_list[row]
region = kwargs['region']
topic = [t for t in MAJOR_TOPICS if t[0] == topic][0][1]
yes_no = 'Yes' if yes_no == 'Y' else 'No'
writer.writerow({
'Topic': clean_title(topic),
'Answer': yes_no,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': regions_code[region],
'Count': count
})
def ws_100_dataset(writer, counts_list, row, **kwargs):
from reports.report_builder import clean_title
for answer_topic in counts_list[row]:
answer, topic = answer_topic
yes_no = 'Yes' if answer == 'Y' else 'No'
topic = [t for t in MAJOR_TOPICS if t[0] == topic][0][1]
count = counts_list[row][answer_topic]
writer.writerow({
'Topic': clean_title(topic),
'Medium': row,
'Yes/No': yes_no,
'Year': settings.REPORTS_CURRENT_YEAR,
'Geography': GLOBAL_GEOGRAPHY,
'Count': count
})
def clear_function(text):
from reports.report_builder import clean_title
text = clean_title(text)
return text[text.find(']') + 1:].lstrip()
def get_gender(gender_id):
from reports.report_builder import clean_title
gender = [x[1] for x in GENDER if x[0] == gender_id][0]
return clean_title(gender)