def get(self, request_type):
if request_type == 'reload':
try:
quest_process.__init__()
match.__init__()
select_school_debug.__init__()
schedule.__init__()
self.write('reloaded.')
except:
self.write('failed.')
elif request_type == 'question_process':
try:
quest = smart_unicode(smart_str(self.request.query_arguments['q'][0]))
result = quest2quest_dict(quest)
except:
raise MissingArgumentError('Invalid comment!')
self.write(json.dumps(result, ensure_ascii=False, indent=4))
elif request_type == 'find_nearest_offer':
to_cmp = json.loads(self.request.query_arguments['condition'][0])
fill_score(to_cmp)
if 'num' in self.request.query_arguments:
num = int(self.request.query_arguments['num'][0])
else:
num = 5
offer_id_list = map(
lambda x: int(x[1]['id']['$numberLong']),
find_nearest_offer(to_cmp, num)
)
self.write(json.dumps(offer_id_list, ensure_ascii=False, indent=4))
elif request_type == 'find_school':
to_cmp = json.loads(self.request.query_arguments['condition'][0])
fill_score(to_cmp)
if 'num' in self.request.query_arguments:
num = int(self.request.query_arguments['num'][0])
else:
num = 5
self.write(json.dumps(find_program(to_cmp, num), ensure_ascii=False, indent=4))
elif request_type == 'assess_applier':
to_assess = json.loads(self.request.query_arguments['condition'][0])
self.set_header('Access-Control-Allow-Origin','*')
#self.write(json.dumps(assess_applier(to_assess), ensure_ascii=False, indent=4))
self.write(json.dumps(assess_applier(to_assess)))
elif request_type == 'study_schedule':
to_schedule = json.loads(self.request.query_arguments['condition'][0])
self.set_header('Access-Control-Allow-Origin','*')
#self.write(json.dumps(schedule(to_schedule), ensure_ascii=False, indent=4))
self.write(json.dumps(schedule(to_schedule)))
else:
raise MissingArgumentError('Invalid command!')
"internship": {"duration": 7, "level": 0, "recommendation": 0}, # 无 # 默认 # 默认
"scholarship": {"level": 4}, # 校级一等奖
"activity": {"duration": 0, "type": 0}, #
"credential": {"level": 100}, # 默认值
"competition": {"level": 100}, # 默认值
}
orig_condition = {
"major": "法学",
"grade": "大三", # 【'大一','大二','大三','大四'】
"target_level": 1, # 表示目标院校档次，1-4分别表示TOP10,TOP20-30,TOP30-50,TOP50-100
"gpa": "3.8-3.9/90-93",
"current-school": "海外本科",
"toefl": {"total": "109+/8或Waiver", "speaking": "26+/8+或 海本"},
"gre": {"total": "330+/740+", "aw": "4.5-5"},
"research": {
"duration": "1年-2年", # 0-99h
"level": "海外实验室or重点项目", # 国家级实验室 or 国家重点项目
"achievement": "国内期刊", # SCI一作
},
"internship": {"duration": "3-6个月", "level": "国内知名企业", "recommendation": "直属领导推荐"}, # 无 # 默认 # 默认
"scholarship": {"level": "校一等奖学金"}, # 校级一等奖
"activity": {"duration": "3-6个月", "type": "国内志愿者"}, #
"competition": {"level": "国家级奖项"}, # 默认值
}
result = assess_applier(test_dict, "finance") # law是目标文件的文件名
print(u"最终返回的dict是：")
print(result["result"])
print(u"该学生的得分是：" + str(result["score"]))
print(u"该学生的分级结果是：" + str(result["level"]))
"level": 3
},
"gre": {
"total": 290,
"aw": 2.5
},
"ielts": {
"total": 0
},
"activity": {
"duration": 2,
"type": 3
},
"major": "law",
"toefl": {
"total": 0,
"speaking": 17
},
"scholarship": {
"level": 4
}
}
listt = ['accounting', 'ce', 'environment', 'pr', 'me', 'general', 'journalism', 'marketing', 'finance', 'cs', 'economics', 'biology', 'law', 'mis', 'tesol', 'materials']
for each in ['ce']:
print each
result = assess_applier(gg)
print u"最终返回的dict是："
print json.dumps(result, indent=4)
print '\n\n\n'
