def get_context(self, contact_method=None):
orgs = list(self.sub.organizations.not_cfa().order_by('name'))
organization_names = [org.name for org in orgs]
county_names = [org.county.name for org in orgs]
counties_applied_to = oxford_comma(county_names)
if len(county_names) > 1:
counties_applied_to += " counties"
else:
counties_applied_to += " County"
return dict(staff_name=utils.get_random_staff_name(),
name=namify(self.sub.answers['first_name']),
county_names=county_names,
counties_applied_to=counties_applied_to,
organizations=orgs,
organization_names=organization_names,
unlisted_counties=self.sub.answers.get(
'unlisted_counties', ''))
def get_context(self, contact_method=None):
orgs = list(self.sub.organizations.all())
orgs = utils.sort_orgs_in_default_order(orgs)
organization_names = [org.name for org in orgs]
county_names = [org.county.name for org in orgs]
counties_applied_to = oxford_comma(county_names)
if len(county_names) > 1:
counties_applied_to += " counties"
else:
counties_applied_to += " County"
return dict(
staff_name=utils.get_random_staff_name(),
name=namify(self.sub.answers['first_name']),
county_names=county_names,
counties_applied_to=counties_applied_to,
organizations=orgs,
organization_names=organization_names,
)
def get_context(self, contact_method=None):
orgs = list(self.sub.organizations.all())
orgs = utils.sort_orgs_in_default_order(orgs)
organization_names = [
org.name for org in orgs]
county_names = [
org.county.name for org in orgs]
counties_applied_to = oxford_comma(county_names)
if len(county_names) > 1:
counties_applied_to += " counties"
else:
counties_applied_to += " County"
return dict(
staff_name=utils.get_random_staff_name(),
name=namify(self.sub.answers['first_name']),
county_names=county_names,
counties_applied_to=counties_applied_to,
organizations=orgs,
organization_names=organization_names,
)
def get_context(self, contact_method=None):
orgs = list(self.sub.organizations.not_cfa().order_by('name'))
organization_names = [
org.name for org in orgs]
county_names = [
org.county.name for org in orgs]
counties_applied_to = oxford_comma(county_names)
if len(county_names) > 1:
counties_applied_to += " counties"
else:
counties_applied_to += " County"
return dict(
staff_name=utils.get_random_staff_name(),
name=namify(self.sub.answers['first_name']),
county_names=county_names,
counties_applied_to=counties_applied_to,
organizations=orgs,
organization_names=organization_names,
unlisted_counties=self.sub.answers.get('unlisted_counties', '')
)
def get_full_name(self):
return '{first_name} {last_name}'.format(
**{
key: namify(self.answers.get(key))
for key in ['first_name', 'last_name']
})
'Cell phone number':
'phone_number',
'Charged with a crime':
lambda s: yesno(s, 'being_charged'),
'Date':
lambda s: s.get_local_date_received('%-m/%-d/%Y'),
'Date of Birth':
get_formatted_dob,
'Dates arrested outside SF':
'when_where_outside_sf',
'Email Address':
'email',
'Employed':
lambda s: yesno(s, 'currently_employed'),
'First Name':
lambda s: namify(s.answers['first_name']),
'Home phone number':
'',
'How did you hear about the Clean Slate Program':
'how_did_you_hear',
'If probation where and when?':
lambda s: '{} {}'.format(s.answers.get('where_probation_or_parole'),
s.answers.get('when_probation_or_parole')),
'Last Name':
lambda s: namify(s.answers['last_name']),
'MI':
lambda s: s.answers.get('middle_name', '')[:1],
'May we leave voicemail':
lambda s: yesno(s),
'May we send mail here':
lambda s: yesno(s),
def get_display_value(self):
return namify(self.get_current_value())
# Structure and naming
# in tests
translator = ClearMyRecordFormToPDFTranslator({
'Address City': 'address_city',
'Address State': 'address_state',
'Address Street': 'address_street',
'Address Zip': 'address_zip',
'Arrested outside SF': lambda s: yesno(s, 'rap_outside_sf'),
'Cell phone number': 'phone_number',
'Charged with a crime': lambda s: yesno(s, 'being_charged'),
'Date': lambda s: s.get_local_date_received('%-m/%-d/%Y'),
'Date of Birth': get_formatted_dob,
'Dates arrested outside SF': 'when_where_outside_sf',
'Email Address': 'email',
'Employed': lambda s: yesno(s, 'currently_employed'),
'First Name': lambda s: namify(s.answers['first_name']),
'Home phone number': '',
'How did you hear about the Clean Slate Program': 'how_did_you_hear',
'If probation where and when?': lambda s: '{} {}'.format(
s.answers.get('where_probation_or_parole'),
s.answers.get('when_probation_or_parole')),
'Last Name': lambda s: namify(s.answers['last_name']),
'MI': lambda s: s.answers.get('middle_name', '')[:1],
'May we leave voicemail': lambda s: yesno(s),
'May we send mail here': lambda s: yesno(s),
'Monthly expenses': 'monthly_expenses',
'On probation or parole': lambda s: yesno(s, 'on_probation_parole'),
'Other phone number': '',
'Serving a sentence': lambda s: yesno(s, 'serving_sentence'),
'Social Security Number': lambda s: fmt_ssn(s, ''),
'US Citizen': lambda s: yesno(s, 'us_citizen'),
def get_display_value(self):
return namify(self.get_current_value())
# Structure and naming
# in tests
translator = ClearMyRecordFormToPDFTranslator({
'Address City': 'address_city',
'Address State': 'address_state',
'Address Street': 'address_street',
'Address Zip': 'address_zip',
'Arrested outside SF': lambda s: yesno(s, 'rap_outside_sf'),
'Cell phone number': 'phone_number',
'Charged with a crime': lambda s: yesno(s, 'being_charged'),
'Date': lambda s: s.get_local_date_received('%-m/%-d/%Y'),
'Date of Birth': get_formatted_dob,
'Dates arrested outside SF': 'when_where_outside_sf',
'Email Address': 'email',
'Employed': lambda s: yesno(s, 'currently_employed'),
'First Name': lambda s: namify(s.answers.get('first_name', '')),
'Home phone number': '',
'How did you hear about the Clear My Record Program': 'how_did_you_hear',
'If probation where and when?': lambda s: '{} {}'.format(
s.answers.get('where_probation_or_parole'),
s.answers.get('when_probation_or_parole')),
'Last Name': lambda s: namify(s.answers.get('last_name', '')),
'MI': lambda s: s.answers.get('middle_name', '')[:1],
'May we leave voicemail': lambda s: yesno(s),
'May we send mail here': lambda s: yesno(s),
'Monthly expenses': 'monthly_expenses',
'On probation or parole': lambda s: yesno(s, 'on_probation_parole'),
'Other phone number': '',
'Serving a sentence': lambda s: yesno(s, 'serving_sentence'),
'Social Security Number': lambda s: fmt_ssn(s, ''),
'US Citizen': lambda s: yesno(s, 'us_citizen'),
'Cell phone number':
'phone_number',
'Charged with a crime':
lambda s: yesno(s, 'being_charged'),
'Date':
lambda s: s.get_local_date_received('%-m/%-d/%Y'),
'Date of Birth':
get_formatted_dob,
'Dates arrested outside SF':
'when_where_outside_sf',
'Email Address':
'email',
'Employed':
lambda s: yesno(s, 'currently_employed'),
'First Name':
lambda s: namify(s.answers.get('first_name', '')),
'Home phone number':
'',
'How did you hear about the Clear My Record Program':
'how_did_you_hear',
'If probation where and when?':
lambda s: '{} {}'.format(s.answers.get('where_probation_or_parole'),
s.answers.get('when_probation_or_parole')),
'Last Name':
lambda s: namify(s.answers.get('last_name', '')),
'MI':
lambda s: s.answers.get('middle_name', '')[:1],
'May we leave voicemail':
lambda s: yesno(s),
'May we send mail here':
lambda s: yesno(s),
