def test_settings(self):
self.clioinfra = Dataset()
clioindex = self.clioinfra.clioindex()
self.assertTrue(clioindex.to_html())
uids = '11007,11002'
self.assertTrue(self.clioinfra.findhandles(uids))
self.assertTrue(self.clioinfra.config['dataverseroot'])
self.assertTrue(self.clioinfra.config['apiroot'])
self.assertTrue(self.clioinfra.config['key'])
class ConfigTestClass(unittest.TestCase):
def test_settings(self):
self.clioinfra = Dataset()
clioindex = self.clioinfra.clioindex()
self.assertTrue(clioindex.to_html())
uids = '11007,11002'
self.assertTrue(self.clioinfra.findhandles(uids))
self.assertTrue(self.clioinfra.config['dataverseroot'])
self.assertTrue(self.clioinfra.config['apiroot'])
self.assertTrue(self.clioinfra.config['key'])
def geofilter():
pids = []
ctrlist = {}
ctrfilter = []
settings = Configuration()
clioinfra = Dataset()
clioindex = clioinfra.clioindex()
columns = [
'1', 'Webmapper code', 'Webmapper numeric code', 'ccode',
'country name', 'start year', 'end year'
]
(classification, geodataset, title,
units) = content2dataframe(settings.config,
settings.config['geocoderhandle'])
settings = DataFilter(request.args)
if settings.selected():
pids = clioinfra.findhandles(settings.selected())
datasets = clioinfra.retrievedatasets(pids)
selection = []
for item in datasets:
dataset = datasets[item]
dataset.columns = dataset.ix[1]
dataset = dataset.convert_objects(convert_numeric=True)
dataset.index = dataset['Webmapper numeric code']
if (settings.minyear()):
dataset = dataset.loc[
dataset['start year'] >= settings.minyear()]
dataset = dataset.loc[
dataset['start year'] <= settings.maxyear()]
for col in columns:
dataset = dataset.drop(col, axis=1)
dataset['total'] = dataset.sum(axis=1)
dataset = dataset.ix[dataset['total'] > 0]
selection.append(dataset.index)
for row in selection:
for countryID in row:
if countryID not in ctrlist:
ctrlist[countryID] = countryID
ctrfilter.append(countryID)
geodataset = geodataset.convert_objects(convert_numeric=True)
geodataset = geodataset.loc[geodataset['start year'] >= settings.minyear()]
geodataset = geodataset.loc[geodataset['start year'] <= settings.maxyear()]
if settings.showframe():
geodataset.index = geodataset['Webmapper numeric code']
if ctrfilter:
geodataset = geodataset.ix[ctrfilter]
(geocoder, geolist, oecd) = buildgeocoder(geodataset, settings.config,
settings.countryfilter())
data = json.dumps(geocoder, encoding="utf-8", sort_keys=True, indent=4)
return Response(data, mimetype='application/json')
def geofilter():
pids = []
ctrlist = {}
ctrfilter = []
settings = Configuration()
clioinfra = Dataset()
clioindex = clioinfra.clioindex()
columns = ['1', 'Webmapper code', 'Webmapper numeric code', 'ccode', 'country name', 'start year', 'end year']
(classification, geodataset, title, units) = content2dataframe(settings.config, settings.config['geocoderhandle'])
settings = DataFilter(request.args)
if settings.selected():
pids = clioinfra.findhandles(settings.selected())
datasets = clioinfra.retrievedatasets(pids)
selection = []
for item in datasets:
dataset = datasets[item]
dataset.columns = dataset.ix[1]
dataset = dataset.convert_objects(convert_numeric=True)
dataset.index = dataset['Webmapper numeric code']
if (settings.minyear()):
dataset = dataset.loc[dataset['start year'] >= settings.minyear()]
dataset = dataset.loc[dataset['start year'] <= settings.maxyear()]
for col in columns:
dataset = dataset.drop(col, axis=1)
dataset['total'] = dataset.sum(axis=1)
dataset = dataset.ix[dataset['total'] > 0]
selection.append(dataset.index)
for row in selection:
for countryID in row:
if countryID not in ctrlist:
ctrlist[countryID] = countryID
ctrfilter.append(countryID)
geodataset = geodataset.convert_objects(convert_numeric=True)
geodataset = geodataset.loc[geodataset['start year'] >= settings.minyear()]
geodataset = geodataset.loc[geodataset['start year'] <= settings.maxyear()]
if settings.showframe():
geodataset.index = geodataset['Webmapper numeric code']
if ctrfilter:
geodataset = geodataset.ix[ctrfilter]
(geocoder, geolist, oecd) = buildgeocoder(geodataset, settings.config, settings.countryfilter())
data = json.dumps(geocoder, encoding="utf-8", sort_keys=True, indent=4)
return Response(data, mimetype='application/json')