def wordcloud(request):
sex = request.GET.get('sex',"")
time = request.GET.get('time',"")
province = request.GET.get('province',"")
kind = request.GET.get('kind',"")
month = request.GET.get('month',"")
result = models.cal_pmi(kind,sex,time,province,month)
logging.info("request info sex:%s time:%s province:%s kind:%s "%(sex,time,province,kind))
list = {"weight":[],"color":{}}
for index,line in enumerate(result):
if index == 30:
break
list["weight"].append([line[0],35-index])
list["color"][line[0]] = int(line[2])
# logging.info("word:{0} frequence:{1} pmi:{2}".format(line[0],line[2],line[3]))
sort_color = sorted(list["color"].items(),key=lambda a:a[1],reverse=False)
for index,(key,value) in enumerate(sort_color):
list["color"][key] = get_color(0,len(sort_color)-1,index)
logging.info("wordcloud done!")
return HttpResponse(json.dumps(list))
def wordcloud(request):
sex = request.GET.get('sex',"")
time = request.GET.get('time',"")
province = request.GET.get('province',"")
kind = request.GET.get('kind',"")
month = request.GET.get('month',"")
#__________DICT_____________
is_select_dict = True if request.GET.get('dict' , 'False') == "true" else False
logging.info("start to cal pmi info sex:%s time:%s province:%s kind:%s is_select_dict:%s"%(sex,time,province,kind,str(is_select_dict)))
result = models.cal_pmi(kind,sex,time,province,is_select_dict)
logging.info("request info sex:%s time:%s province:%s kind:%s "%(sex,time,province,kind))
list = {"weight":[],"color":{}}
for index,line in enumerate(result):
if index == 30:
break
list["weight"].append([line[0],35-index]) #read commit : let the PMI order decide the WEIGHT(SIZE)
list["color"][line[0]] = int(line[2]) # read commit : let the "food_count" decide the COLOR
# logging.info("word:{0} frequence:{1} pmi:{2}".format(line[0],line[2],line[3]))
sort_color = sorted(list["color"].items(),key=lambda a:a[1],reverse=False) # ASC sorted
for index,(key,value) in enumerate(sort_color):
list["color"][key] = get_color(0,len(sort_color)-1,index)
logging.info("wordcloud done!")
return HttpResponse(json.dumps(list))
def gen_cache_dict(request):
print "begin to gen dict cache"
logging.info("begin to gen dict cache")
count = 0
kinds = ["fruit", "food", "drink", "wine", "tea", "all"]
sexs = ["man", "woman", ""]
times = ["morning", "noon", "afternoon", "evening", ""]
provinces = [
"北京".decode('utf-8'), "浙江".decode('utf-8'), "天津".decode('utf-8'),
"安徽".decode('utf-8'), "上海".decode('utf-8'), "福建".decode('utf-8'),
"重庆".decode('utf-8'), "江西".decode('utf-8'), "山东".decode('utf-8'),
"河南".decode('utf-8'), "湖北".decode('utf-8'), "湖南".decode('utf-8'),
"广东".decode('utf-8'), "海南".decode('utf-8'), "山西".decode('utf-8'),
"青海".decode('utf-8'), "江苏".decode('utf-8'), "辽宁".decode('utf-8'),
"吉林".decode('utf-8'), "台湾".decode('utf-8'), "河北".decode('utf-8'),
"贵州".decode('utf-8'), "四川".decode('utf-8'), "云南".decode('utf-8'),
"陕西".decode('utf-8'), "甘肃".decode('utf-8'), "黑龙江".decode('utf-8'),
"香港".decode('utf-8'), "澳门".decode('utf-8'), "广西".decode('utf-8'),
"宁夏".decode('utf-8'), "新疆".decode('utf-8'), "内蒙古".decode('utf-8'),
"西藏".decode('utf-8'), ""
]
for province in provinces:
for sex in sexs:
for time in times:
for kind in kinds:
result = models.cal_pmi(kind, sex, time, province, True)
print "add cache sex:%s time:%s province:%s kind:%s " % (
sex, time, province, kind)
logging.info(
"add cache sex:%s time:%s province:%s kind:%s " %
(sex, time, province, kind))
logging.info("gen cache end")
print("%s:gen cache end")
def wordcloud(request):
sex = request.GET.get('sex', "")
time = request.GET.get('time', "")
province = request.GET.get('province', "")
kind = request.GET.get('kind', "")
month = request.GET.get('month', "")
result = models.cal_pmi(kind, sex, time, province, month)
logging.info("request info sex:%s time:%s province:%s kind:%s " %
(sex, time, province, kind))
list = {"weight": [], "color": {}}
for index, line in enumerate(result):
if index == 30:
break
list["weight"].append([line[0], 35 - index])
list["color"][line[0]] = int(line[2])
# logging.info("word:{0} frequence:{1} pmi:{2}".format(line[0],line[2],line[3]))
sort_color = sorted(list["color"].items(),
key=lambda a: a[1],
reverse=False)
for index, (key, value) in enumerate(sort_color):
list["color"][key] = get_color(0, len(sort_color) - 1, index)
logging.info("wordcloud done!")
return HttpResponse(json.dumps(list))
def gen_cache_dict(request):
print "begin to gen dict cache"
logging.info("begin to gen dict cache")
count = 0
kinds = ["fruit","food","drink","wine","tea","all"]
sexs = ["man","woman",""]
times = ["morning","noon","afternoon","evening",""]
provinces = [
"北京".decode('utf-8'),
"浙江".decode('utf-8'),
"天津".decode('utf-8'),
"安徽".decode('utf-8'),
"上海".decode('utf-8'),
"福建".decode('utf-8'),
"重庆".decode('utf-8'),
"江西".decode('utf-8'),
"山东".decode('utf-8'),
"河南".decode('utf-8'),
"湖北".decode('utf-8'),
"湖南".decode('utf-8'),
"广东".decode('utf-8'),
"海南".decode('utf-8'),
"山西".decode('utf-8'),
"青海".decode('utf-8'),
"江苏".decode('utf-8'),
"辽宁".decode('utf-8'),
"吉林".decode('utf-8'),
"台湾".decode('utf-8'),
"河北".decode('utf-8'),
"贵州".decode('utf-8'),
"四川".decode('utf-8'),
"云南".decode('utf-8'),
"陕西".decode('utf-8'),
"甘肃".decode('utf-8'),
"黑龙江".decode('utf-8'),
"香港".decode('utf-8'),
"澳门".decode('utf-8'),
"广西".decode('utf-8'),
"宁夏".decode('utf-8'),
"新疆".decode('utf-8'),
"内蒙古".decode('utf-8'),
"西藏".decode('utf-8'),
""
]
for province in provinces:
for sex in sexs:
for time in times:
for kind in kinds:
result = models.cal_pmi(kind,sex,time,province,True)
print "add cache sex:%s time:%s province:%s kind:%s "%(sex,time,province,kind)
logging.info("add cache sex:%s time:%s province:%s kind:%s "%(sex,time,province,kind))
logging.info("gen cache end")
print ("%s:gen cache end")
def wordcloud(request):
sex = request.GET.get('sex', "")
time = request.GET.get('time', "")
province = request.GET.get('province', "")
kind = request.GET.get('kind', "")
month = request.GET.get('month', "")
#__________DICT_____________
is_select_dict = True if request.GET.get('dict',
'False') == "true" else False
logging.info(
"start to cal pmi info sex:%s time:%s province:%s kind:%s is_select_dict:%s"
% (sex, time, province, kind, str(is_select_dict)))
result = models.cal_pmi(kind, sex, time, province, is_select_dict)
logging.info("request info sex:%s time:%s province:%s kind:%s " %
(sex, time, province, kind))
list = {"weight": [], "color": {}}
for index, line in enumerate(result):
if index == 30:
break
list["weight"].append([
line[0], 35 - index
]) #read commit : let the PMI order decide the WEIGHT(SIZE)
list["color"][line[0]] = int(
line[2]) # read commit : let the "food_count" decide the COLOR
# logging.info("word:{0} frequence:{1} pmi:{2}".format(line[0],line[2],line[3]))
sort_color = sorted(list["color"].items(),
key=lambda a: a[1],
reverse=False) # ASC sorted
for index, (key, value) in enumerate(sort_color):
list["color"][key] = get_color(0, len(sort_color) - 1, index)
logging.info("wordcloud done!")
return HttpResponse(json.dumps(list))
