def get_census_profile(geo_code, geo_level, profile_name=None):
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
for section in PROFILE_SECTIONS:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], func(code, level, session),
level)
finally:
session.close()
if geo_level != 'vdc':
group_remainder(data['demographics']['language_distribution'], 10)
group_remainder(data['demographics']['ethnic_distribution'], 10)
return data
def get_elections_profile(geo_code, geo_level):
data = OrderedDict()
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
for election in ELECTIONS:
section = election['name'].lower().replace(' ', '_')
data[section] = get_election_data(geo_code, geo_level, election, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], get_election_data(code, level, election, session), level)
# tweaks to make the data nicer
# show 8 largest parties on their own and group the rest as 'Other'
group_remainder(data[section]['party_distribution'], 9)
if geo_level == 'country':
add_elections_media_coverage(data)
return data
finally:
session.close()
def get_profile(geo_code, geo_level, profile_name=None):
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
sections = list(PROFILE_SECTIONS)
if geo_level not in ['country', 'province', 'district', 'municipality']:
pass
# Raise error as we don't have this data
for section in sections:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], func(code, level, session), level)
return data
finally:
session.close()
def get_census_profile(geo_code, geo_level, profile_name=None):
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
for section in PROFILE_SECTIONS:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], func(code, level, session), level)
# tweaks to make the data nicer
# show X largest groups on their own and group the rest as 'Other'
group_remainder(data['households']['roofing_material_distribution'], 5)
group_remainder(data['households']['wall_material_distribution'], 5)
return data
finally:
session.close()
def get_profile(geo_code, geo_level, profile_name=None):
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
sections = list(PROFILE_SECTIONS)
if geo_level not in ['country', 'province', 'municipality']:
pass
# Raise error as we don't have this data
for section in sections:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], func(code, level, session), level)
group_remainder(data['households']['type_of_dwelling_distribution'], 5)
group_remainder(data['service_delivery']['water_source_distribution'], 5)
group_remainder(data['service_delivery']['toilet_facilities_distribution'], 5)
return data
finally:
session.close()
def get_census_profile(geo_code, geo_level, profile_name=None):
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
for section in PROFILE_SECTIONS:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], func(code, level, session),
level)
# tweaks to make the data nicer
# show X largest groups on their own and group the rest as 'Other'
#group_remainder(data['households']['roofing_material_distribution'], 5)
#group_remainder(data['households']['wall_material_distribution'], 5)
return data
finally:
session.close()
def get_census_profile(geo_code, geo_level, profile_name=None):
logger.info('Begin of transaction for {}: {}'.format(geo_level, geo_code))
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
for section in PROFILE_SECTIONS:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], func(code, level, session),
level)
return data
finally:
logger.info('End of transaction for {}: {}'.format(
geo_level, geo_code))
session.close()
def get_profile(geo_code, geo_level, profile_name=None):
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
for section in PROFILE_SECTIONS:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
for level, code in geo_summary_levels:
merge_dicts(data[section], func(code, level, session), level)
return data
finally:
session.close()
def get_profile(geo_code, geo_level, profile_name=None):
session = get_session()
try:
geo_summary_levels = geo_data.get_summary_geo_info(geo_code, geo_level)
data = {}
sections = list(PROFILE_SECTIONS)
if geo_level in ['country', 'province']:
sections.append('crime')
for section in sections:
function_name = 'get_%s_profile' % section
if function_name in globals():
func = globals()[function_name]
data[section] = func(geo_code, geo_level, session)
# get profiles for province and/or country
for level, code in geo_summary_levels:
# merge summary profile into current geo profile
merge_dicts(data[section], func(code, level, session), level)
finally:
session.close()
# tweaks to make the data nicer
# show 3 largest groups on their own and group the rest as 'Other'
group_remainder(data['service_delivery']['water_source_distribution'], 5)
group_remainder(data['service_delivery']['refuse_disposal_distribution'], 5)
group_remainder(data['service_delivery']['toilet_facilities_distribution'], 5)
group_remainder(data['demographics']['language_distribution'], 7)
group_remainder(data['demographics']['province_of_birth_distribution'], 7)
group_remainder(data['demographics']['region_of_birth_distribution'], 5)
group_remainder(data['households']['type_of_dwelling_distribution'], 5)
group_remainder(data['child_households']['type_of_dwelling_distribution'], 5)
data['elections'] = get_elections_profile(geo_code, geo_level)
return data