def get_next_task_view(self):
self.client.login(username="******", password="******")
## get the next task
self.task_expectation.check(self)
## tweak the database to put a response and a review in
response = Response(task=self.t, user=self.user, start_time=datetime.datetime.now())
response.full_clean()
response.save()
review = Review(response=response, comment="I have reviewed this task.")
review.full_clean()
review.save()
## check to see if next_task now redirects to review
## if we actually execute the view code, we will get an error,
## because the task associated with the review has no result;
## therefore the code below is a bit hackish
review_target = WebTarget("GET", main.views.base.next_task, statuses=(301, 302))
def redirects_to_review(input_context, output_context):
return "/review/next/" in output_context["__redirected_to__"]
review_expectation = ViewExpectation(Conditions.post(redirects_to_review), review_target)
review_expectation.check(self)
## tweak the database to complete the review
review.complete = True
review.full_clean()
review.save()
## try getting the next task again
self.task_expectation.check(self)
def respondchannel(request, pk1, pk2, num):
context = {}
if request.user.is_authenticated():
print 'response'
print request.GET.get('response')
new_response = Response()
print num
if int(num) == 1:
new_response.is_resp_to_reply = False
else:
new_response.is_resp_to_reply = True
print 'New resp' + str(new_response.is_resp_to_reply)
new_response.text = request.GET.get('response')
new_response.channel = Channel.objects.get(pk=pk1)
new_response.original_comment = Comment.objects.get(pk=pk2)
new_response.user = request.user
new_response.save()
return HttpResponseRedirect('/channel_detail/%s' % pk1)
else:
print 'anonymous user'
return HttpResponseRedirect('/please_login/')
return render_to_response('channel_detail.html',
context,
context_instance=RequestContext(request))
def crowd_respond_to_study(request, study_id):
# There are two ways the client makes ajax calls. Once at the beginning just to get the first segment,
# and also after a response is made to record the response AND get a new segment
if request.is_ajax():
# This is true if the ajax is returning a response
if not request.POST.get('segment_ajax') is None:
seg = Segment.objects.get(id=request.POST.get('segment_id'))
new_response = Response(segment=seg,
user=request.user,
label_id=request.POST.get('label_id'))
new_response.save()
check_segment(seg)
prev_responses = list(
Response.objects.filter(
worker_id=request.user.id).values('segment_id'))
high_priorities = Segment.objects.filter(
study_id=study_id,
status='high_priority').exclude(id__in=prev_responses)
if high_priorities.exists():
available_segments = high_priorities
else:
available_segments = Segment.objects.filter(study_id=study_id,
status='low_priority')
chosen_segment = available_segments[random.randint(
0,
len(available_segments) - 1)]
data = {
'seg_id': chosen_segment.id,
'file_name': chosen_segment.file.filename,
'start': float(chosen_segment.start),
'stop': float(chosen_segment.stop),
'duration': float(chosen_segment.duration),
}
return render_to_json_response(data)
study_worker = StudyWorker.objects.filter(study_id=study_id,
worker_id=request.user.id)
if study_worker is None:
return redirect('/')
template = loader.get_template('main/respond_to_study.html')
labels = Label.objects.filter(study_id=study_id)
context = {
'study': Study.objects.get(id=study_id),
'labels': labels,
'remaining': 17
}
return HttpResponse(template.render(context, request))
def message(request):
if request.method == 'POST':
request_data = ((request.body).decode('utf-8'))
request_data = json.loads(request_data)
userMessage = request_data['content']
user_key = request_data['user_key']
user = User.getOrCreate(user_key)
start = datetime.datetime.now()
botMessageDict = Response.getResponseDict(user, userMessage)
timeDiff = datetime.datetime.now() - start
numOfMails = Mail.getNumOfMails(user)
if numOfMails:
botMessageDict['message']['text'] = '[\'메시지\'라고 입력해주세요!(' + str(
numOfMails) + '개)]\n\n' + botMessageDict['message']['text']
Log.write(user, userMessage, botMessageDict['message']['text'],
timeDiff.total_seconds())
botMessageDumped = json.dumps(botMessageDict)
return HttpResponse(botMessageDumped)
def get_next_task_view(self):
self.client.login(username="******", password="******")
## get the next task
self.task_expectation.check(self)
## tweak the database to put a response and a review in
response = Response(task=self.t,
user=self.user,
start_time=timezone.now())
response.full_clean()
response.save()
review = Review(response=response,
comment="I have reviewed this task.")
review.full_clean()
review.save()
## check to see if next_task now redirects to review
## if we actually execute the view code, we will get an error,
## because the task associated with the review has no result;
## therefore the code below is a bit hackish
review_target = WebTarget("GET",
main.views.base.next_task,
statuses=(301, 302))
def redirects_to_review(input_context, output_context):
return "/review/next/" in output_context["__redirected_to__"]
review_expectation = ViewExpectation(
Conditions.post(redirects_to_review), review_target)
review_expectation.check(self)
## tweak the database to complete the review
review.complete = True
review.full_clean()
review.save()
## try getting the next task again
self.task_expectation.check(self)
def user_rating():
"""
打分
/api/user-rating
"""
try:
token = request.headers.get('Authorization', '')
# by convention jwt token is like "Bearer <token string>"
uname = verify_auth_token(token[7:])
if not uname:
raise ValueError('Invalid Token')
user = DB['users'].find_one({'username': uname})
user_rates = user.get('rates', [])
user_eval = user.get('evaluation', [])
if not user_rates:
user_rates = []
if not user_eval:
user_eval = []
response = Response(ResponseType.SUCCESS)
response.update_attr(
'rates', {str(rate['cid']): rate['rate']
for rate in user_rates})
response.update_attr(
'evaluation',
{str(rate['cid']): rate['rate']
for rate in user_eval})
except ValueError as ve:
response = Response.get_custom_response(ResponseType.FAILURE, str(ve))
except Exception as e:
print(e)
response = Response(ResponseType.INTERNAL_ERR)
return response.get_json()
def respondchannel(request, pk1, pk2, num):
context = {}
if request.user.is_authenticated():
print 'response'
print request.GET.get('response')
new_response = Response()
print num
if int(num) == 1:
new_response.is_resp_to_reply = False
else:
new_response.is_resp_to_reply = True
print 'New resp' + str(new_response.is_resp_to_reply)
new_response.text = request.GET.get('response')
new_response.channel = Channel.objects.get(pk=pk1)
new_response.original_comment = Comment.objects.get(pk=pk2)
new_response.user = request.user
new_response.save()
return HttpResponseRedirect('/channel_detail/%s' %pk1)
else:
print 'anonymous user'
return HttpResponseRedirect('/please_login/')
return render_to_response('channel_detail.html', context, context_instance=RequestContext(request))
def get_graph():
"""
get explicit params from url
接受url的Param作为root nodeId, 然后返回一张dag
dag似乎可以提前就计算好? 因为要有children node的相关度排序
计算好之后就直接提出来用? 在app载入的时候就加到内存里面去
考虑可拓展性? 如果图特别大呢, 那显然和设计的架构不一致,
因为构想是前端处理整个graph的裁剪, 后端提供整张图
如果图很大, 那么后端必须裁剪好前端直接用, 不能指望前端那点计算能力
因为不止一个点, <del>但是现在没做多关键词查询</del>, 如果做了那么就是一个列表
<del>params里面传入的应该是一个serialized json string, 然后解析为json然后得到数组</del>
使用;分隔, 就像search那样
"""
# 然而现在需要考虑同时查询两个
wids = request.args.get('wids', '').lower()
print('graph params', wids)
# params = GraphParams(request.args)
if not wids:
response = Response(ResponseType.PARAMETERS_ERR)
return response.get_json()
try:
# 由于概念格的特点, 子节点关键词集合一定包含父节点的关键词集合, 文档集合反之
# 找到含有extent的所有点, 然后把data里面无关的连线删掉, 找到fah==[]就是新root
wids = convert_int(wids.split(';'))
g = sub_graph(NODES, wids)
# add data in g
g = add_info(g, KEYWORDS_DICT)
if len(g) == 1:
# response = Response.get_custom_response(ResponseType.FAILURE, 'No Such sub graph')
response = Response(ResponseType.SUCCESS)
response.update_attr('graph', g)
else:
response = Response(ResponseType.SUCCESS)
response.update_attr('graph', g)
except Exception as e:
print(e)
response = Response(ResponseType.INTERNAL_ERR)
return response.get_json()
def parsePrompt(chunk):
global tab, vars, storyName, promptIdCounter
#print(chunk)
#find the offset, and then change the chunk to a standard form
offset = 0
for c in chunk[0]:
if c == tab:
offset += 1
else:
break
#standardize
for i in range(len(chunk)):
chunk[i] = chunk[i][offset:]
#print(chunk)
prompt = Prompt(promptText=chunk[0],
storyId=storyName,
option1="",
promptId=promptIdCounter)
promptIdCounter += 1
prompt.save()
#starting with first line of first option, iterate through the lines
for j in range(1, len(chunk)):
line = chunk[j]
#print(line)
# check if the line is set off by a tab
# if not, then we found an option
if line[0] != tab and prompt.option1 == "":
#set the option1 for the prompt to this line
prompt.option1 = line
#then create the response object
option1 = Response(storyId=storyName,
option1or2="1",
previousPrompt=prompt,
ifStatement="")
print("response created for option1", option1)
option1.save()
optionsToPassUp1 = [option1]
#now we start from what comes under the option
#these sublines will be offset by 1 tab
k = j + 1
for notk in range(j + 1, len(chunk)):
subline = chunk[k]
#print("subline1",[subline.split()])
#if there is no tab, then we have reached the end
if subline[0] != tab:
#print('move on')
break
#this means that we have found the nextPrompt
elif subline[1] == tab:
#print('go deeper')
countForNextPrompt = 0
for l in range(k, len(chunk) + 1):
#print(chunk[l])
# the nextPrompt will be in atleast 2 deep, anything shallower is not a part of it
if l == len(chunk) or chunk[l][1] != tab:
#print(k,l)
option1.nextPrompt, subOptionsToPassUp1 = parsePrompt(
chunk[k:l])
print("retrieved response from deeper option1")
optionsToPassUp1.pop(-1)
optionsToPassUp1.extend(subOptionsToPassUp1)
#print(optionsToPassUp1)
#print("returned up")
k = l - 1
#print("option1: ",option1)
option1.save()
break
#if statement
elif subline[1:3] == "if" and subline[-1] == ":":
if option1.ifStatement == "":
option1.ifStatement = subline[1:]
else:
option1.save()
option1 = Response(storyId=storyName,
option1or2="1",
previousPrompt=prompt)
print("created an if response for options 1", option1)
option1.ifStatement = subline[1:]
option1.save()
optionsToPassUp1.append(option1)
#set variable statement
elif len(subline[1:].split()) > 2 and subline[1:].split(
)[1] == ":=" and subline.split()[0][1:] in vars:
option1.setVariable = subline[1:]
#otherwise, it's (hopefully) the response text, if any
else:
#print("response text: ",subline)
option1.responseText = subline[1:]
k += 1
if k >= len(chunk): break
option1.save()
#for option 2
elif line[0] != tab and prompt.option1 != "":
#set the option2 for the prompt to this line
prompt.option2 = line
#then create the response object
option2 = Response(storyId=storyName,
option1or2="2",
previousPrompt=prompt,
ifStatement="")
print("response created for option2", option2)
option2.save()
optionsToPassUp2 = [option2]
#now we start from what comes under the option
#these sublines will be offset by 1 tab
k = j + 1
for notk in range(j + 1, len(chunk)):
subline = chunk[k]
#print("subline2",[subline.split()])
#if there is no tab, then we have reached the end
if subline[0] != tab:
#print('move on')
break
#this means that we have found the nextPrompt
elif subline[1] == tab:
print('go deeper')
print(chunk)
countForNextPrompt = 0
for l in range(k, len(chunk) + 1):
#print(chunk[l])
# the nextPrompt will be in atleast 2 deep, anything shallower is not a part of it
if l == len(chunk) or chunk[l][1] != tab:
#print(k,l)
option2.nextPrompt, subOptionsToPassUp2 = parsePrompt(
chunk[k:l])
print("retrieved response from deeper option2")
optionsToPassUp2.pop(-1)
optionsToPassUp2.extend(subOptionsToPassUp2)
#print(optionsToPassUp2)
print("returned up")
k = l - 1
#print("option1: ",option1)
option2.save()
break
#if statement
elif subline[1:3] == "if" and subline[-1] == ":":
if option2.ifStatement == "":
option2.ifStatement = subline[1:]
else:
option2.save()
option2 = Response(storyId=storyName,
option1or2="2",
previousPrompt=prompt)
print("created an if response for options 2", option2)
option2.ifStatement = subline[1:]
option2.save()
optionsToPassUp2.append(option2)
#set variable statement
elif len(subline[1:].split()) > 2 and subline[1:].split(
)[1] == ":=" and subline.split()[0][1:] in vars:
option2.setVariable = subline[1:]
#otherwise, it's (hopefully) the response text, if any
else:
#print("response text: ",subline)
option2.responseText = subline[1:]
k += 1
if k >= len(chunk): break
option2.save()
prompt.save()
optionsToPassUp2.extend(optionsToPassUp1)
return prompt, optionsToPassUp2
def get_courses_list():
# 返回图和返回文章的接口分离
# 因为文章还要翻页 查询文章直接在mongodb中查询
# 因为不需要做查询相关度排序, 提供排序为, 年份, 默认(字典序), 被引量
try:
course_params = CourseListParams(request.args)
# validate params passed in
if not course_params.validate():
raise ValidationError
# return courses
node_id = course_params.node_id.data
page = course_params.page.data
page_size = course_params.page_size.data
# order = course_params.order.data
node = DB['nodes'].find_one({'nid': node_id})
if not node:
raise ValueError('no such node id exists')
extents = node['extent']
courses = DB['courses'].find({'cid': {"$in": extents}}) \
.limit(page_size) \
.skip((page-1)*page_size)
# if order == 'time':
# courses = DB['courses'].find({'cid': {"$in": extents}}) \
# .sort([('date',-1)]).limit(page_size) \
# .skip((page-1)*page_size)
# elif order == 'citation':
# courses = DB['courses'].find({'cid': {"$in": extents}}) \
# .sort([('citation',-1)]).limit(page_size) \
# .skip((page-1)*page_size)
courses = [after_pop(d, '_id') for d in courses]
response = Response(ResponseType.SUCCESS)
response.update_attr('courses', courses)
response.update_attr('page', page)
response.update_attr('pageSize', page_size)
response.update_attr('totalSize', len(extents))
except ValidationError as ve:
print(ve)
response = Response(ResponseType.PARAMETERS_ERR)
except ValueError as ve:
response = Response.get_custom_response(ResponseType.FAILURE, str(ve))
except Exception as e:
print(e)
response = Response(ResponseType.INTERNAL_ERR)
return response.get_json()
def rating():
"""
打分
/api/rating?course_id=<int>&rate=<int>&is_evaluation=<bool>
"""
try:
rate_params = RatingParams(request.args)
if not rate_params.validate():
raise ValidationError
rate = rate_params.rate.data
course_id = rate_params.course_id.data
is_evalution = rate_params.is_evaluation.data
token = request.headers.get('Authorization', '')
# by convention jwt token is like "Bearer <token string>"
uname = verify_auth_token(token[7:])
if not uname:
raise ValueError('Invalid Token')
if is_evalution:
# check whether this rate exists
if not DB['users'].find_one({
'username': uname,
'evaluation.cid': course_id
}):
DB['users'].update({'username': uname}, {
'$push': {
'evaluation': {
'cid': course_id,
'rate': rate
}
}
})
else:
DB['users'].update(
{
'username': uname,
'evaluation.cid': course_id
}, {'$set': {
'evaluation.$.rate': rate
}})
else:
# check whether this rate exists
if not DB['users'].find_one({
'username': uname,
'rates.cid': course_id
}):
DB['users'].update(
{'username': uname},
{'$push': {
'rates': {
'cid': course_id,
'rate': rate
}
}})
else:
DB['users'].update({
'username': uname,
'rates.cid': course_id
}, {'$set': {
'rates.$.rate': rate
}})
response = Response(ResponseType.SUCCESS)
except ValidationError:
response = Response(ResponseType.VALIDATION_ERR)
except ValueError as ve:
response = Response.get_custom_response(ResponseType.FAILURE, str(ve))
except Exception as e:
print(e)
response = Response(ResponseType.INTERNAL_ERR)
return response.get_json()
def recommend_courses():
"""
recommend courses
/api/recommend?page=<int>&page_size=<int>
"""
try:
recommend_params = RecommendCoursesParams(request.args)
if not recommend_params.validate():
raise ValidationError
page = recommend_params.page.data
page_size = recommend_params.page_size.data
mode = recommend_params.mode.data
token = request.headers.get('Authorization', '')
# auth validation
uname = verify_auth_token(token[7:])
if not uname:
raise ValueError('Invalid Token')
# find user
user = DB['users'].find_one({'username': uname})
if not user:
raise ValueError('User Not Found')
# create user model
user_rates = user.get('rates', None)
if not user_rates:
return Response.get_custom_response(
ResponseType.FAILURE, "unable to recommend").get_json()
course_vectors = COURSE_VECTORS_DICT[str(mode)]
user_model = recommend(user_rates, course_vectors)
# store user model
DB['users'].update({'username': uname},
{'$set': {
'usermodel': user_model
}})
user_courses = [x['cid'] for x in user_model]
# change the order the full rating items
user_rates_dict = {x['cid']: x['rate'] for x in user_rates}
rate5 = [c for c in user_courses if user_rates_dict.get(c, 0) == 5]
rate4 = [c for c in user_courses if user_rates_dict.get(c, 0) == 4]
other_rates = [
c for c in user_courses if user_rates_dict.get(c, 0) < 4
]
user_courses = rate5 + rate4 + other_rates
courses = [
after_pop(DB['courses'].find_one({'cid': a}), '_id')
for a in user_courses[(page - 1) * page_size:page * page_size]
]
response = Response(ResponseType.SUCCESS)
response.update_attr('courses', courses)
response.update_attr('page', page)
response.update_attr('pageSize', page_size)
response.update_attr('totalSize', len(user_courses))
except ValidationError:
response = Response(ResponseType.VALIDATION_ERR)
except ValueError as ve:
response = Response.get_custom_response(ResponseType.FAILURE, str(ve))
except Exception as e:
print('unknown err', e)
response = Response(ResponseType.INTERNAL_ERR)
return response.get_json()
def search():
'''
得到一个或者关键词之后, 如果这个或者这些关键词命中了
返回命中和未命中的关键词, 以及命中的关键词分别的kId
目前只做一个关键词的好了
来了一个新词之后, 在所有关键词里面匹配, 精准命中就是直接返回
如果不中, 那么就计算相似度, 然后返回相似度top5的关键词
相似度计算可以使用编辑距离自动机或者是BK树, 不想写, 好麻烦
如果之后要做到实时推荐, 输入一个词出一个词, 那么就需要这样做
'''
# 从url的请求参数中获取keyword, like /api/search?keywords=xxx;xxx
keywords = request.args.get('keywords', '').lower()
# keywords为一个string, 多个keywords使用;分隔, 因为一个keyword可能是phrase
keywords = keywords.split(';')
print(keywords)
# 同时因为mongodb不会parse指定的key, 所以不存在sql注入的安全风险
mongo_col = DB['keywords'] # keywords collection
fail_list = []
matched_list = []
match = True
wids = []
recommend = []
try:
for k in keywords:
res = mongo_col.find_one({'keyword': k})
if res:
matched_list.append(res['keyword'])
wids.append(res['wid'])
else:
match = False
fail_list.append(k)
# 将匹配失败的词汇和所有的keywords进行相似度匹配
match_num = 5
if fail_list:
best_matches = sorted(
KEYWORDS,
reverse=True,
key=lambda kwobj: max(fail_list,
key=lambda fail_kw: Levenshtein.ratio(
kwobj['keyword'], fail_kw)))
recommend = [x['keyword'] for x in best_matches[:match_num]]
response = Response(ResponseType.SUCCESS)
response.update_attr('keywords', matched_list)
response.update_attr('match', match)
response.update_attr('wids', wids)
response.update_attr('recommend', recommend)
except Exception as e:
print(e)
response = Response(ResponseType.FAILURE)
return response.get_json()
# @app.route('/api/root', methods=['GET'], strict_slashes=False)
# def get_root():
# rootId = 1
# response = Response(ResponseType.SUCCESS)
# response.update_attr('rootId', rootId)
# except Exception as e:
# print(e)
# response = Response(ResponseType.FAILURE)
# return response.get_json()
