本文整理汇总了Python中db.Database.getStudiesAdmin方法的典型用法代码示例。如果您正苦于以下问题:Python Database.getStudiesAdmin方法的具体用法?Python Database.getStudiesAdmin怎么用?Python Database.getStudiesAdmin使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类db.Database
的用法示例。
在下文中一共展示了Database.getStudiesAdmin方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: process_studies
# 需要导入模块: from db import Database [as 别名]
# 或者: from db.Database import getStudiesAdmin [as 别名]
def process_studies():
studies = Database.getStudiesAdmin()
for study in studies:
study_id = str(study['_id'])
print 'processing study', study['study_question']
placeid2scores = {}
minscore = 1000000
maxscore = -1
for qscore in Database.qs.find({'study_id': study_id}):
place_id = qscore['place_id']
score = qscore['trueskill']['score']
if place_id not in placeid2scores: placeid2scores[place_id] = []
placeid2scores[place_id].append(score)
maxscore = max(maxscore, score)
minscore = min(minscore, score)
# compute mean score and stdev for every city
for place_id in placeid2scores:
scores = placeid2scores[place_id]
# first normalize scores to be between 1 and 10
for i in xrange(len(scores)):
scores[i] = (((scores[i]-minscore)/(maxscore - minscore)) * 9) + 1
mean = numpy.mean(scores)
std = numpy.std(scores)
Database.qs_place.update({'study_id': study_id, 'place_id': place_id}, {
'$set': { 'trueskill.mean': mean,'trueskill.std': std }})
示例2: load_admin_studies
# 需要导入模块: from db import Database [as 别名]
# 或者: from db.Database import getStudiesAdmin [as 别名]
def load_admin_studies():
if getLoggedInUser() is None:
return redirect("/login/")
if session['userObj']['email'] == '[email protected]' or session['userObj']['email'] == '[email protected]' or session['userObj']['email'] == '[email protected]':
studies = Database.getStudiesAdmin()
return auto_template('admin_all.html',studies=studies)
示例3: get_studies
# 需要导入模块: from db import Database [as 别名]
# 或者: from db.Database import getStudiesAdmin [as 别名]
def get_studies():
return jsonifyResponse(list(Database.getStudiesAdmin()))