def get_map_context(context):
'''
In the map page we pass the level 1 and 2 indicators to the
template with the `indicators` variable. It has the following form:
[
{
'code': '1',
'title': 'Governance',
'level': 1,
'core': True,
'indicators': [
{
'code': '1.1',
'title': 'International Framework',
'level': 2,
'core': True,
},
{
'code': '1.2',
'title': 'National Law',
'level': 2,
'core': True,
},
...
]
},
{
'code': '2',
'title': 'Availability',
'level': 1,
'core': True,
'indicators': [
...
]
},
...
]
We also pass the `themes` variable to build the second menu, with
identical format.
'''
context['indicators'] = data.get_indicators()
context['themes'] = data.get_themes()
def get_country_context(context, country_code, year):
'''In the RTEI by Country page we pass the following variables:
* `available_countries`: a dict with the countries where data is avaiable,
ordered alphabetically by name:
{
'CL': 'Chile',
'NG: 'Nigeria',
...
}
Only if there is a country selected (via `id` param):
* `country_code`
* `country_name`
* `country_indicators`: full indicators data for the country, in the form:
{
'1': 74.34,
'1.1': 23.43,
'1.1.1': None,
...
}
* `chart_data`: data necessary to build the C3 chart for just this
particular country, eg:
[{
'name': 'Tanzania',
'index': 64.063,
'1': 16.91,
'3': 15.92,
'2': 8.68,
'5': 8.32,
'4': 14.24
}]
'''
if country_code:
country_data = data.get_indicators_for_country(country_code, year)
if not country_data:
raise Http404(_('No data available for this country'))
context['country_code'] = country_code
context['country_name'] = data.get_country_name(country_code)
context['country_indicators'] = country_data
for country in data.get_c3_scores_per_country(year):
if country['name'] == context['country_name']:
chart_data = country
break
context['chart_data'] = json.dumps([chart_data])
context['indicators'] = data.get_indicators(year)
context['themes'] = data.get_themes(year)
context['chart_labels'] = json.dumps(
get_chart_labels(context['indicators'], context['themes']))
context['available_countries'] = OrderedDict(
sorted({
code: data.get_country_name(code)
for code, c in data.get_scores_per_country(year).iteritems()
}.items(),
key=lambda t: t[1]))
def get_theme_context(context, year):
context['indicators'] = data.get_indicators(year)
context['themes'] = data.get_themes(year)
context['chart_labels'] = json.dumps(
get_chart_labels(context['indicators'], context['themes']))
def get_country_context(context, country_code):
'''In the RTEI by Country page we pass the following variables:
* `available_countries`: a dict with the countries where data is avaiable,
ordered alphabetically by name:
{
'CL': 'Chile',
'NG: 'Nigeria',
...
}
Only if there is a country selected (via `id` param):
* `country_code`
* `country_name`
* `country_indicators`: full indicators data for the country, in the form:
{
'1': 74.34,
'1.1': 23.43,
'1.1.1': None,
...
}
* `chart_data`: data necessary to build the C3 chart for just this
particular country, eg:
[{
'name': 'Tanzania',
'index': 64.063,
'1': 16.91,
'3': 15.92,
'2': 8.68,
'5': 8.32,
'4': 14.24
}]
'''
if country_code:
country_data = data.get_indicators_for_country(country_code)
if not country_data:
raise Http404(_('No data available for this country'))
context['country_code'] = country_code
context['country_name'] = data.get_country_name(country_code)
context['country_indicators'] = country_data
for country in data.get_c3_scores_per_country():
if country['name'] == context['country_name']:
chart_data = country
break
context['chart_data'] = json.dumps([chart_data])
context['indicators'] = data.get_indicators()
context['themes'] = data.get_themes()
context['chart_labels'] = json.dumps(
get_chart_labels(context['indicators'], context['themes']))
context['available_countries'] = OrderedDict(
sorted({code: data.get_country_name(code) for code, c
in data.get_scores_per_country().iteritems()}.items(),
key=lambda t: t[1]))
def get_theme_context(context):
context['indicators'] = data.get_indicators()
context['themes'] = data.get_themes()
context['chart_labels'] = json.dumps(
get_chart_labels(context['indicators'], context['themes']))
