def handle(self, *args, **options):
def save(key, body):
k = Key(bucket)
k.key = key
k.set_contents_from_string(body)
k.set_acl('public-read')
sys.path.append(os.path.abspath('scrapers'))
bucket = S3Connection().get_bucket('represent.opennorth.ca')
names = {
'Parliament of Canada': 'house-of-commons',
'Legislative Assembly of Alberta': 'alberta-legislature',
'Legislative Assembly of British Columbia': 'bc-legislature',
'Legislative Assembly of Manitoba': 'manitoba-legislature',
'Legislative Assembly of New Brunswick':
'new-brunswick-legislature',
'Newfoundland and Labrador House of Assembly':
'newfoundland-labrador-legislature',
'Nova Scotia House of Assembly': 'nova-scotia-legislature',
'Legislative Assembly of Ontario': 'ontario-legislature',
'Legislative Assembly of Prince Edward Island': 'pei-legislature',
'Assemblée nationale du Québec': 'quebec-assemblee-nationale',
'Legislative Assembly of Saskatchewan': 'saskatchewan-legislature',
}
default_headers = [
'District name',
'Primary role',
'Name', # not in CSV schema
'First name',
'Last name',
'Gender',
'Party name',
'Email',
'Photo URL',
'Source URL',
'Website',
'Facebook',
'Instagram',
'Twitter',
'LinkedIn',
'YouTube',
]
office_headers = [
'Office type', # not in CSV schema
'Address', # not in CSV schema
'Phone',
'Fax',
]
all_rows = []
max_offices_count = 0
reports = Report.objects.filter(exception='').exclude(
module__endswith='_candidates').exclude(
module__endswith='_municipalities').order_by('module')
for report in reports:
try:
metadata = module_name_to_metadata(report.module)
rows = []
offices_count = 0
# Exclude party memberships.
queryset = Membership.objects.filter(
organization__jurisdiction_id=metadata['jurisdiction_id']
).exclude(role__in=('member', 'candidate'))
for membership in queryset.prefetch_related(
'contact_details', 'person', 'person__links',
'person__sources'):
person = membership.person
try:
party_name = Membership.objects.get(
organization__classification='party',
role='member',
person=person).organization.name
except Membership.DoesNotExist:
party_name = None
facebook = None
instagram = None
linkedin = None
twitter = None
youtube = None
for link in person.links.all():
domain = '.'.join(
urlsplit(link.url).netloc.split('.')[-2:])
if domain in ('facebook.com', 'fb.com'):
facebook = link.url
elif domain == 'instagram.com':
instagram = link.url
elif domain == 'linkedin.com':
linkedin = link.url
elif domain == 'twitter.com':
twitter = link.url
elif domain == 'youtube.com':
youtube = link.url
if person.gender == 'male':
gender = 'M'
elif person.gender == 'female':
gender = 'F'
else:
gender = None
if ' ' in person.name:
first_name, last_name = person.name.rsplit(' ', 1)
else:
first_name, last_name = None, person.name
# @see https://represent.opennorth.ca/api/#fields
sources = list(person.sources.all())
row = [
remove_suffix_re.sub(
'', membership.post.label), # District name
membership.role, # Elected office
person.name, # Name
first_name, # First name
last_name, # Last name
gender, # Gender
party_name, # Party name
next((contact_detail.value for contact_detail in
membership.contact_details.all()
if contact_detail.type == 'email'),
None), # Email
person.image, # Photo URL
sources[-1].url
if len(sources) > 1 else None, # Source URL
get_personal_url(person), # Website
facebook, # Facebook
instagram, # Instagram
twitter, # Twitter
linkedin, # LinkedIn
youtube, # YouTube
]
offices = get_offices(membership)
if len(offices) > offices_count:
offices_count = len(offices)
for office in offices:
for key in ('type', 'postal', 'tel', 'fax'):
row.append(office.get(key))
# If the person is associated to multiple boundaries.
if re.search(r'\AWards\b', membership.post.label):
for district_id in re.findall(r'\d+',
membership.post.label):
row = row[:]
row[0] = 'Ward %s' % district_id
rows.append(row)
else:
rows.append(row)
rows.sort()
headers = default_headers[:]
for _ in range(offices_count):
headers += office_headers
name = metadata['name']
if name in names:
slug = names[name]
else:
slug = slugify(name)
io = StringIO()
body = csv.writer(io)
body.writerow(headers)
body.writerows(rows)
save('csv/%s.csv' % slug,
codecs.encode(io.getvalue(), 'windows-1252'))
if offices_count > max_offices_count:
max_offices_count = offices_count
for row in rows:
row.insert(0, name)
all_rows.append(row)
except ImportError:
report.delete() # delete reports for old modules
headers = ['Organization'] + default_headers
for _ in range(max_offices_count):
headers += office_headers
io = StringIO()
body = csv.writer(io)
body.writerow(headers)
body.writerows(all_rows)
save('csv/complete.csv', codecs.encode(io.getvalue(), 'windows-1252'))
def represent(request, module_name):
sys.path.append(os.path.abspath('scrapers'))
metadata = module_name_to_metadata(module_name)
representatives = []
# Exclude party memberships.
queryset = Membership.objects.filter(organization__jurisdiction_id=metadata['jurisdiction_id'])
if module_name.endswith('_candidates'):
# Include only candidates.
queryset.filter(role='candidate')
else:
# Exclude candidates and party memberships.
queryset.exclude(role__in=('member', 'candidate'))
for membership in queryset.prefetch_related('contact_details', 'person', 'person__links', 'person__sources', 'post'):
person = membership.person
# Not sure why this is necessary.
if not isinstance(membership.extras, dict):
membership.extras = json.loads(membership.extras)
if not isinstance(person.extras, dict):
person.extras = json.loads(person.extras)
try:
party_name = Membership.objects.select_related('organization').get(organization__classification='party', role='member', person=person).organization.name
except Membership.DoesNotExist:
party_name = None
if person.gender == 'male':
gender = 'M'
elif person.gender == 'female':
gender = 'F'
else:
gender = None
# Candidates only.
incumbent = person.extras.pop('incumbent', None)
# @see https://represent.opennorth.ca/api/#fields
representative = {
'name': person.name,
'elected_office': membership.role,
'party_name': party_name,
'email': next((contact_detail.value for contact_detail in membership.contact_details.all() if contact_detail.type == 'email'), None),
'photo_url': person.image or None,
'personal_url': get_personal_url(person),
'gender': gender,
'offices': json.dumps(get_offices(membership)),
'extra': json.dumps(get_extra(person)),
}
sources = list(person.sources.all())
# The first URL ought to be the most generic source.
representative['source_url'] = sources[0].url
if len(sources) > 1:
# The last URL ought to be the most specific source.
representative['url'] = sources[-1].url
if incumbent:
representative['incumbent'] = True
match = re.search(r'^(\S+) (Ward \d+)$', membership.post.label)
# If the person is part of Peel Regional Council.
if match:
parent = Division.objects.get(subtype1='csd', subtype2='', name=match.group(1))
division = Division.objects.get(subtype1='csd', subid1=parent.subid1, name=match.group(2))
boundary_set_slug = '{}-wards'.format(parent.name.lower())
representative['district_name'] = membership.post.label
representative['boundary_url'] = '/boundaries/{}/ward-{}/'.format(boundary_set_slug, division.subid2)
representatives.append(representative)
# If the person is associated to multiple boundaries.
elif re.search(r'^Wards\b', membership.post.label):
for district_id in re.findall(r'\d+', membership.post.label):
representative = representative.copy()
representative['district_id'] = district_id
representative['district_name'] = 'Ward {}'.format(district_id)
representatives.append(representative)
else:
division_id = metadata['division_id']
if re.search('^ocd-division/country:ca/csd:(\d{7})\Z', division_id):
geographic_code = division_id[-7:]
elif re.search('^ocd-division/country:ca/cd:(\d{4})\Z', division_id):
geographic_code = division_id[-4:]
else:
geographic_code = None
post_label = remove_suffix_re.sub('', membership.post.label)
# If the post label is numeric.
if re.search(r'^\d+\Z', post_label):
representative['district_id'] = post_label
# If the person has a boundary URL.
elif 'boundary_url' in membership.extras:
representative['district_name'] = post_label
representative['boundary_url'] = membership.extras['boundary_url']
# If the post label is a Census geographic name.
elif post_label == metadata['division_name'] and geographic_code:
representative['district_name'] = post_label
if len(geographic_code) == 7:
representative['boundary_url'] = '/boundaries/census-subdivisions/{}/'.format(geographic_code)
elif len(geographic_code) == 4:
representative['boundary_url'] = '/boundaries/census-divisions/{}/'.format(geographic_code)
else:
representative['district_name'] = post_label
district_id = re.search(r'^(?:District|Division|Ward) (\d+)\Z', post_label)
if district_id:
representative['district_id'] = district_id.group(1)
representatives.append(representative)
return HttpResponse(json.dumps(representatives), content_type='application/json')
def process(report, *, candidates=False):
rows = []
offices_count = 0
try:
metadata = module_name_to_metadata(report.module)
# Exclude party memberships.
queryset = Membership.objects.filter(
organization__jurisdiction_id=metadata['jurisdiction_id'])
if candidates:
queryset = queryset.filter(role='candidate')
else:
queryset = queryset.exclude(role__in=('member',
'candidate'))
for membership in queryset.prefetch_related(
'contact_details', 'person', 'person__links',
'person__sources'):
person = membership.person
try:
party_name = Membership.objects.get(
organization__classification='party',
role='member',
person=person).organization.name
except Membership.DoesNotExist:
party_name = None
facebook = None
instagram = None
linkedin = None
twitter = None
youtube = None
for link in person.links.all():
domain = '.'.join(
urlsplit(link.url).netloc.split('.')[-2:])
if domain in ('facebook.com', 'fb.com'):
facebook = link.url
elif domain == 'instagram.com':
instagram = link.url
elif domain == 'linkedin.com':
linkedin = link.url
elif domain == 'twitter.com':
twitter = link.url
elif domain == 'youtube.com':
youtube = link.url
if person.gender == 'male':
gender = 'M'
elif person.gender == 'female':
gender = 'F'
else:
gender = None
if ' ' in person.name:
first_name, last_name = person.name.rsplit(' ', 1)
else:
first_name, last_name = None, person.name
# @see https://represent.opennorth.ca/api/#fields
sources = list(person.sources.all())
row = [
remove_suffix_re.sub(
'', membership.post.label), # District name
membership.role, # Elected office
person.name, # Name
first_name, # First name
last_name, # Last name
gender, # Gender
party_name, # Party name
next((contact_detail.value for contact_detail in
membership.contact_details.all()
if contact_detail.type == 'email'),
None), # Email
person.image, # Photo URL
sources[-1].url
if len(sources) > 1 else None, # Source URL
get_personal_url(person), # Website
facebook, # Facebook
instagram, # Instagram
twitter, # Twitter
linkedin, # LinkedIn
youtube, # YouTube
]
offices = get_offices(membership)
if len(offices) > offices_count:
offices_count = len(offices)
for office in offices:
for key in ('type', 'postal', 'tel', 'fax'):
row.append(office.get(key))
# If the person is associated to multiple boundaries.
if re.search(r'\AWards\b', membership.post.label):
for district_id in re.findall(r'\d+',
membership.post.label):
row = row[:]
row[0] = 'Ward {}'.format(district_id)
rows.append(row)
else:
rows.append(row)
rows.sort()
headers = self.default_headers[:]
for _ in range(offices_count):
headers += self.office_headers
name = metadata['name']
if name in self.names:
slug = self.names[name]
else:
slug = slugify(name)
io = StringIO()
body = csv.writer(io)
body.writerow(headers)
body.writerows(rows)
key = 'csv/{}/{}.csv'.format(
'candidates' if candidates else 'representatives', slug)
save(key, io)
for row in rows:
row.insert(0, name)
except ImportError:
report.delete() # delete reports for old modules
return [rows, offices_count]
def represent(request, module_name):
sys.path.append(os.path.abspath('scrapers'))
metadata = module_name_to_metadata(module_name)
representatives = []
# Exclude party memberships.
queryset = Membership.objects.filter(organization__jurisdiction_id=metadata['jurisdiction_id'])
if module_name.endswith('_candidates'):
queryset.filter(role='candidate')
else:
queryset.exclude(role__in=('member', 'candidate'))
for membership in queryset.prefetch_related('contact_details', 'person', 'person__links', 'person__sources'):
person = membership.person
try:
party_name = Membership.objects.get(organization__classification='party', role='member', person=person).organization.name
except Membership.DoesNotExist:
party_name = None
if person.gender == 'male':
gender = 'M'
elif person.gender == 'female':
gender = 'F'
else:
gender = None
incumbent = person.extras.pop('incumbent', None)
# @see https://represent.opennorth.ca/api/#fields
representative = {
'name': person.name,
'elected_office': membership.role,
'party_name': party_name,
'email': next((contact_detail.value for contact_detail in membership.contact_details.all() if contact_detail.type == 'email'), None),
'photo_url': person.image or None,
'personal_url': get_personal_url(person),
'gender': gender,
'offices': json.dumps(get_offices(membership)),
'extra': json.dumps(get_extra(person)),
}
# @see https://github.com/opennorth/represent-canada/issues/81
sources = list(person.sources.all())
if len(sources[0].url) <= 200:
representative['source_url'] = sources[0].url
if len(sources) > 1:
representative['url'] = sources[-1].url
if incumbent:
representative['incumbent'] = True
match = re.search(r'^(\S+) (Ward \d+)$', membership.post.label)
# If the person is part of Peel Regional Council.
if match:
parent = Division.objects.get(subtype1='csd', subtype2='', name=match.group(1))
division = Division.objects.get(subtype1='csd', subid1=parent.subid1, name=match.group(2))
boundary_set_slug = next((k for k, v in settings.IMAGO_BOUNDARY_MAPPINGS.items() if v['prefix'].startswith(parent.id)), None)
representative['district_name'] = membership.post.label
representative['boundary_url'] = '/boundaries/{}/ward-{}/'.format(boundary_set_slug, division.subid2)
representatives.append(representative)
# If the person is associated to multiple boundaries.
elif re.search(r'^Wards\b', membership.post.label):
for district_id in re.findall(r'\d+', membership.post.label):
representative = representative.copy()
representative['district_id'] = district_id
representative['district_name'] = 'Ward %s' % district_id
representatives.append(representative)
else:
division_id = metadata['division_id']
if re.search('^ocd-division/country:ca/csd:(\d{7})\Z', division_id):
geographic_code = division_id[-7:]
elif re.search('^ocd-division/country:ca/cd:(\d{4})\Z', division_id):
geographic_code = division_id[-4:]
else:
geographic_code = None
post_label = remove_suffix_re.sub('', membership.post.label)
# If the post label is numeric.
if re.search(r'^\d+\Z', post_label):
representative['district_id'] = post_label
# If the person has a boundary URL.
elif membership.extras.get('boundary_url'):
representative['district_name'] = post_label
representative['boundary_url'] = membership.extras['boundary_url']
# If the post label is a census subdivision.
elif post_label == metadata['division_name'] and geographic_code:
representative['district_name'] = post_label
if len(geographic_code) == 7:
representative['boundary_url'] = '/boundaries/census-subdivisions/%s/' % geographic_code
elif len(geographic_code) == 4:
representative['boundary_url'] = '/boundaries/census-divisions/%s/' % geographic_code
else:
representative['district_name'] = post_label
district_id = re.search(r'^(?:District|Division|Ward) (\d+)\Z', post_label)
if district_id:
representative['district_id'] = district_id.group(1)
representatives.append(representative)
return HttpResponse(json.dumps(representatives), content_type='application/json')
def represent(request, module_name):
sys.path.append(os.path.abspath('scrapers'))
metadata = module_name_to_metadata(module_name)
representatives = []
# Exclude party memberships.
queryset = Membership.objects.filter(
organization__jurisdiction_id=metadata['jurisdiction_id'])
if module_name.endswith('_candidates'):
queryset.filter(role='candidate')
else:
queryset.exclude(role__in=('member', 'candidate'))
for membership in queryset.prefetch_related('contact_details', 'person',
'person__links',
'person__sources'):
person = membership.person
try:
party_name = Membership.objects.get(
organization__classification='party',
role='member',
person=person).organization.name
except Membership.DoesNotExist:
party_name = None
if person.gender == 'male':
gender = 'M'
elif person.gender == 'female':
gender = 'F'
else:
gender = None
incumbent = person.extras.pop('incumbent', None)
# @see https://represent.opennorth.ca/api/#fields
representative = {
'name':
person.name,
'elected_office':
membership.role,
'party_name':
party_name,
'email':
next((contact_detail.value
for contact_detail in membership.contact_details.all()
if contact_detail.type == 'email'), None),
'photo_url':
person.image or None,
'personal_url':
get_personal_url(person),
'gender':
gender,
'offices':
json.dumps(get_offices(membership)),
'extra':
json.dumps(get_extra(person)),
}
# @see https://github.com/opennorth/represent-canada/issues/81
sources = list(person.sources.all())
if len(sources[0].url) <= 200:
representative['source_url'] = sources[0].url
if len(sources) > 1:
representative['url'] = sources[-1].url
if incumbent:
representative['incumbent'] = True
match = re.search(r'^(\S+) (Ward \d+)$', membership.post.label)
# If the person is part of Peel Regional Council.
if match:
parent = Division.objects.get(subtype1='csd',
subtype2='',
name=match.group(1))
division = Division.objects.get(subtype1='csd',
subid1=parent.subid1,
name=match.group(2))
boundary_set_slug = next(
(k for k, v in settings.IMAGO_BOUNDARY_MAPPINGS.items()
if v['prefix'].startswith(parent.id)), None)
representative['district_name'] = membership.post.label
representative['boundary_url'] = '/boundaries/{}/ward-{}/'.format(
boundary_set_slug, division.subid2)
representatives.append(representative)
# If the person is associated to multiple boundaries.
elif re.search(r'^Wards\b', membership.post.label):
for district_id in re.findall(r'\d+', membership.post.label):
representative = representative.copy()
representative['district_id'] = district_id
representative['district_name'] = 'Ward %s' % district_id
representatives.append(representative)
else:
division_id = metadata['division_id']
if re.search('^ocd-division/country:ca/csd:(\d{7})\Z',
division_id):
geographic_code = division_id[-7:]
elif re.search('^ocd-division/country:ca/cd:(\d{4})\Z',
division_id):
geographic_code = division_id[-4:]
else:
geographic_code = None
post_label = remove_suffix_re.sub('', membership.post.label)
# If the post label is numeric.
if re.search(r'^\d+\Z', post_label):
representative['district_id'] = post_label
# If the person has a boundary URL.
elif membership.extras.get('boundary_url'):
representative['district_name'] = post_label
representative['boundary_url'] = membership.extras[
'boundary_url']
# If the post label is a census subdivision.
elif post_label == metadata['division_name'] and geographic_code:
representative['district_name'] = post_label
if len(geographic_code) == 7:
representative[
'boundary_url'] = '/boundaries/census-subdivisions/%s/' % geographic_code
elif len(geographic_code) == 4:
representative[
'boundary_url'] = '/boundaries/census-divisions/%s/' % geographic_code
else:
representative['district_name'] = post_label
district_id = re.search(r'^(?:District|Division|Ward) (\d+)\Z',
post_label)
if district_id:
representative['district_id'] = district_id.group(1)
representatives.append(representative)
return HttpResponse(json.dumps(representatives),
content_type='application/json')
def handle(self, *args, **options):
def save(key, body):
k = Key(bucket)
k.key = key
k.set_contents_from_string(body)
k.set_acl('public-read')
sys.path.append(os.path.abspath('scrapers'))
bucket = S3Connection().get_bucket('represent.opennorth.ca')
names = {
'Parliament of Canada': 'house-of-commons',
'Legislative Assembly of Alberta': 'alberta-legislature',
'Legislative Assembly of British Columbia': 'bc-legislature',
'Legislative Assembly of Manitoba': 'manitoba-legislature',
'Legislative Assembly of New Brunswick': 'new-brunswick-legislature',
'Newfoundland and Labrador House of Assembly': 'newfoundland-labrador-legislature',
'Nova Scotia House of Assembly': 'nova-scotia-legislature',
'Legislative Assembly of Ontario': 'ontario-legislature',
'Legislative Assembly of Prince Edward Island': 'pei-legislature',
'Assemblée nationale du Québec': 'quebec-assemblee-nationale',
'Legislative Assembly of Saskatchewan': 'saskatchewan-legislature',
}
default_headers = [
'District name',
'Primary role',
'Name', # not in CSV schema
'First name',
'Last name',
'Gender',
'Party name',
'Email',
'Photo URL',
'Source URL',
'Website',
'Facebook',
'Instagram',
'Twitter',
'LinkedIn',
'YouTube',
]
office_headers = [
'Office type', # not in CSV schema
'Address', # not in CSV schema
'Phone',
'Fax',
]
all_rows = []
max_offices_count = 0
reports = Report.objects.filter(exception='').exclude(module__endswith='_candidates').exclude(module__endswith='_municipalities').order_by('module')
for report in reports:
try:
metadata = module_name_to_metadata(report.module)
rows = []
offices_count = 0
# Exclude party memberships.
queryset = Membership.objects.filter(organization__jurisdiction_id=metadata['jurisdiction_id']).exclude(role__in=('member', 'candidate'))
for membership in queryset.prefetch_related('contact_details', 'person', 'person__links', 'person__sources'):
person = membership.person
try:
party_name = Membership.objects.get(organization__classification='party', role='member', person=person).organization.name
except Membership.DoesNotExist:
party_name = None
facebook = None
instagram = None
linkedin = None
twitter = None
youtube = None
for link in person.links.all():
domain = '.'.join(urlsplit(link.url).netloc.split('.')[-2:])
if domain in ('facebook.com', 'fb.com'):
facebook = link.url
elif domain == 'instagram.com':
instagram = link.url
elif domain == 'linkedin.com':
linkedin = link.url
elif domain == 'twitter.com':
twitter = link.url
elif domain == 'youtube.com':
youtube = link.url
if person.gender == 'male':
gender = 'M'
elif person.gender == 'female':
gender = 'F'
else:
gender = None
if ' ' in person.name:
first_name, last_name = person.name.rsplit(' ', 1)
else:
first_name, last_name = None, person.name
# @see https://represent.opennorth.ca/api/#fields
sources = list(person.sources.all())
row = [
remove_suffix_re.sub('', membership.post.label), # District name
membership.role, # Elected office
person.name, # Name
first_name, # First name
last_name, # Last name
gender, # Gender
party_name, # Party name
next((contact_detail.value for contact_detail in membership.contact_details.all() if contact_detail.type == 'email'), None), # Email
person.image, # Photo URL
sources[-1].url if len(sources) > 1 else None, # Source URL
get_personal_url(person), # Website
facebook, # Facebook
instagram, # Instagram
twitter, # Twitter
linkedin, # LinkedIn
youtube, # YouTube
]
offices = get_offices(membership)
if len(offices) > offices_count:
offices_count = len(offices)
for office in offices:
for key in ('type', 'postal', 'tel', 'fax'):
row.append(office.get(key))
# If the person is associated to multiple boundaries.
if re.search(r'\AWards\b', membership.post.label):
for district_id in re.findall(r'\d+', membership.post.label):
row = row[:]
row[0] = 'Ward %s' % district_id
rows.append(row)
else:
rows.append(row)
rows.sort()
headers = default_headers[:]
for _ in range(offices_count):
headers += office_headers
name = metadata['name']
if name in names:
slug = names[name]
else:
slug = slugify(name)
io = StringIO()
body = csv.writer(io)
body.writerow(headers)
body.writerows(rows)
save('csv/%s.csv' % slug, codecs.encode(io.getvalue(), 'windows-1252'))
if offices_count > max_offices_count:
max_offices_count = offices_count
for row in rows:
row.insert(0, name)
all_rows.append(row)
except ImportError:
report.delete() # delete reports for old modules
headers = ['Organization'] + default_headers
for _ in range(max_offices_count):
headers += office_headers
io = StringIO()
body = csv.writer(io)
body.writerow(headers)
body.writerows(all_rows)
save('csv/complete.csv', codecs.encode(io.getvalue(), 'windows-1252'))
def represent(request, module_name):
sys.path.append(os.path.abspath('scrapers'))
metadata = module_name_to_metadata(module_name)
representatives = []
# Exclude party memberships.
queryset = Membership.objects.filter(
organization__jurisdiction_id=metadata['jurisdiction_id'])
if module_name.endswith('_candidates'):
# Include only candidates.
queryset.filter(role='candidate')
else:
# Exclude candidates and party memberships.
queryset.exclude(role__in=('member', 'candidate'))
for membership in queryset.prefetch_related('contact_details', 'person',
'person__links',
'person__sources', 'post'):
person = membership.person
# Not sure why this is necessary.
if not isinstance(membership.extras, dict):
membership.extras = json.loads(membership.extras)
if not isinstance(person.extras, dict):
person.extras = json.loads(person.extras)
try:
party_name = Membership.objects.select_related('organization').get(
organization__classification='party',
role='member',
person=person).organization.name
except Membership.DoesNotExist:
party_name = None
if person.gender == 'male':
gender = 'M'
elif person.gender == 'female':
gender = 'F'
else:
gender = None
# Candidates only.
incumbent = person.extras.pop('incumbent', None)
# @see https://represent.opennorth.ca/api/#fields
representative = {
'name':
person.name,
'elected_office':
membership.role,
'party_name':
party_name,
'email':
next((contact_detail.value
for contact_detail in membership.contact_details.all()
if contact_detail.type == 'email'), None),
'photo_url':
person.image or None,
'personal_url':
get_personal_url(person),
'gender':
gender,
'offices':
json.dumps(get_offices(membership)),
'extra':
json.dumps(get_extra(person)),
}
sources = list(person.sources.all())
# The first URL ought to be the most generic source.
representative['source_url'] = sources[0].url
if len(sources) > 1:
# The last URL ought to be the most specific source.
representative['url'] = sources[-1].url
if incumbent:
representative['incumbent'] = True
match = re.search(r'^(\S+) (Ward \d+)$', membership.post.label)
# If the person is part of Peel Regional Council.
if match:
parent = Division.objects.get(subtype1='csd',
subtype2='',
name=match.group(1))
division = Division.objects.get(subtype1='csd',
subid1=parent.subid1,
name=match.group(2))
boundary_set_slug = '{}-wards'.format(parent.name.lower())
representative['district_name'] = membership.post.label
representative['boundary_url'] = '/boundaries/{}/ward-{}/'.format(
boundary_set_slug, division.subid2)
representatives.append(representative)
# If the person is associated to multiple boundaries.
elif re.search(r'^Wards\b', membership.post.label):
for district_id in re.findall(r'\d+', membership.post.label):
representative = representative.copy()
representative['district_id'] = district_id
representative['district_name'] = 'Ward {}'.format(district_id)
representatives.append(representative)
else:
division_id = metadata['division_id']
if re.search('^ocd-division/country:ca/csd:(\d{7})\Z',
division_id):
geographic_code = division_id[-7:]
elif re.search('^ocd-division/country:ca/cd:(\d{4})\Z',
division_id):
geographic_code = division_id[-4:]
else:
geographic_code = None
post_label = remove_suffix_re.sub('', membership.post.label)
# If the post label is numeric.
if re.search(r'^\d+\Z', post_label):
representative['district_id'] = post_label
# If the person has a boundary URL.
elif 'boundary_url' in membership.extras:
representative['district_name'] = post_label
representative['boundary_url'] = membership.extras[
'boundary_url']
# If the post label is a Census geographic name.
elif post_label == metadata['division_name'] and geographic_code:
representative['district_name'] = post_label
if len(geographic_code) == 7:
representative[
'boundary_url'] = '/boundaries/census-subdivisions/{}/'.format(
geographic_code)
elif len(geographic_code) == 4:
representative[
'boundary_url'] = '/boundaries/census-divisions/{}/'.format(
geographic_code)
else:
representative['district_name'] = post_label
district_id = re.search(r'^(?:District|Division|Ward) (\d+)\Z',
post_label)
if district_id:
representative['district_id'] = district_id.group(1)
representatives.append(representative)
return HttpResponse(json.dumps(representatives),
content_type='application/json')
