def generate_data():
try:
generate_data = pd.DataFrame()
rows = int(request.form.get('num_rows'))
anonymize_data = Anonymizer()
fake_names, fake_first_names, fake_second_names = anonymize_data.fake_name_generator(
rows)
generate_data['name'] = fake_names
generate_data['first_name'] = fake_first_names
generate_data['last_name'] = fake_second_names
generate_data['city'] = anonymize_data.get_fake_cities(rows)
generate_data['country'] = anonymize_data.get_fake_countries(rows)
generate_data['street_address'] = anonymize_data.get_fake_addresses(
rows)
generate_data['url'] = anonymize_data.get_fake_uris(rows)
generate_data.to_csv('static/generated_data.csv',
sep='|',
index=None,
header=True)
flash('File successfully generated')
return render_template('index.html',
path_generated_data='static/generated_data.csv')
except:
return render_template('index.html')
def anonymize():
try:
global filepath
data = pd.read_csv(filepath, sep='|')
rows, c = data.shape
selected_name = request.form.get('options_name')
selected_city = request.form.get('options_city')
selected_country = request.form.get('options_country')
selected_address = request.form.get('options_address')
selected_url = request.form.get('options_uri')
anonymize_data = Anonymizer()
if selected_name != 'None':
fake_names, fake_first_names, fake_second_names = anonymize_data.fake_name_generator(
rows)
data[str(selected_name)] = fake_names
if selected_city != 'None':
data[str(selected_city)] = anonymize_data.get_fake_cities(rows)
if selected_country != 'None':
data[str(selected_country)] = anonymize_data.get_fake_countries(
rows)
if selected_address != 'None':
data[str(selected_address)] = anonymize_data.get_fake_addresses(
rows)
if selected_url != 'None':
data[str(selected_url)] = anonymize_data.get_fake_uris(rows)
data.to_csv('static/export_data.csv', sep='|', index=None, header=True)
flash('File successfully anonymized')
return render_template('index.html',
path_anonymize='static/export_data.csv')
except:
return render_template('index.html')