def search_suggestions(request):
from digipal.utils import get_json_response
from content_type.search_content_type import SearchContentType
query = request.GET.get('q', '')
try:
limit = int(request.GET.get('l'))
except:
limit = 8
suggestions = SearchContentType().get_suggestions(query, limit)
return get_json_response(suggestions)
def search_suggestions(request):
from digipal.utils import get_json_response
from content_type.search_content_type import SearchContentType
query = request.GET.get('q', '')
try:
limit = int(request.GET.get('l'))
except:
limit = 8
suggestions = SearchContentType().get_suggestions(query, limit)
return get_json_response(suggestions)
def patterns_api_view(request, root, path):
ana = PatternAnalyser()
data = ana.process_request_api(request, root, path)
format = data.get('format', 'json')
if format in ['csv']:
now = datetime.now()
file_name = 'segments-%s-%s-%s.csv' % (now.day, now.month, now.year)
ret = dputils.get_csv_response_from_rows(data['csv'], headings=['unitid', 'pattern_group', 'pattern_key', 'segment', 'variant'], filename=file_name)
else:
ret = dputils.get_json_response(data)
return ret
def patterns_api_view(request, root, path):
ana = PatternAnalyser()
data = ana.process_request_api(request, root, path)
format = data.get('format', 'json')
if format in ['csv']:
now = datetime.now()
file_name = 'segments-%s-%s-%s.csv' % (now.day, now.month, now.year)
ret = dputils.get_csv_response_from_rows(data['csv'],
headings=[
'unitid', 'pattern_group',
'pattern_key', 'segment',
'variant'
],
filename=file_name)
else:
ret = dputils.get_json_response(data)
return ret