def go_gmean_proc(request):
# 검색어 / 컬렉션이름을 받아서 검색하고 몽고디비에 저장
#json_list = doNavApiXml(request.GET.get('selClass'),request.GET.get('txtColname'))
# print('request.GET.get("id_theme_sel") : ' + request.GET.get('id_theme_sel'))
json_list = doFiles(request.GET.get('id_theme_sel'), request.GET.get('id_theme_sel'))
json_list = Counter(json_list)
# 10개
top10 = json_list.most_common(10)
print('=============')
print(top10[0][1])
# 합계
sume = 0
# 평균
means = []
for t in top10:
sume = sume + t[1]
means.append(t[1])
# 평균구하기
meanv = numpy.mean(means)
# 전송할 배열
allcon = []
allcon.append(top10)
allcon.append(meanv)
allcon.append(sume)
# 평균
return JsonResponse(allcon,content_type='application/json', safe=False,json_dumps_params={'ensure_ascii':False})
def message_graph_pie2(request):
# 검색어 / 컬렉션이름을 받아서 검색하고 몽고디비에 저장
#json_list = doNavApiXml(request.GET.get('selClass'),request.GET.get('txtColname'))
json_list = doFiles(request.GET.get('selClass'),request.GET.get('txtColname'))
json_list = Counter(json_list)
jsonlistmc = json_list.most_common(10)
return JsonResponse(jsonlistmc,content_type='application/json', safe=False,json_dumps_params={'ensure_ascii':False})
def go_gmean_save(request):
print('request.GET.get("id_theme"):' + request.GET.get("id_theme"))
doFiles(pKey = request.GET.get("id_theme"), pColname=request.GET.get("id_theme"))
print(selCollection())
return JsonResponse(selCollection(),content_type='application/json', safe=False,json_dumps_params={'ensure_ascii':False})
def doMessage2(request):
# 검색어 / 컬렉션이름을 받아서 검색하고 몽고디비에 저장
json_list = doFiles(request.GET.get('txtColname'),request.GET.get('txtColname'),request.GET.get('selClass'),request.GET.get('selClass2'),)
return JsonResponse(json_list, content_type='application/json', safe=False,json_dumps_params={'ensure_ascii':False})