def test_similar(self):
ctx = app.test_request_context()
ctx.push()
from engines import content_engine
#content_engine.train('sample-data.csv')
#content_engine.train('result.csv')
data = {'item': 56753, 'num': NUM_DATA}
headers = [('Content-Type', 'application/json'),
('X-API-TOKEN', current_app.config['API_TOKEN'])]
json_data = json.dumps(data)
json_data_length = len(json_data)
headers.append(('Content-Length', str(json_data_length)))
print json_data
response = app.test_client().post('/predict',
headers=headers,
data=json_data)
print response
response = json.loads(response.data)
#fp=open("data_test.csv",'r')
#content = fp.read()
#fp.close()
#cdata = content.split('\n')
#print response
print "search:56753"
num = 10
if num > len(response):
num = len(response)
for i in range(0, num):
print response[i][0], response[i][1]
def requireHeartBeat():
with app.test_request_context():
url_for('pcHeartBeat', ip='172.21.14.35')
# if __name__ == '__main__':
# app.run()
def test_similar(self):
ctx = app.test_request_context()
ctx.push()
from engines import content_engine
#content_engine.train('sample-data.csv')
content_engine.train('/home/ubuntu/teamHTTP/serverPHP/engine/tfidf-item/iroya_data.csv')
def test_similar(self):
ctx = app.test_request_context()
ctx.push()
from engines import content_engine
#content_engine.train('sample-data.csv')
content_engine.train('result.csv')
'''
def send(MessageClass, **kwargs):
with app.test_request_context():
mailer = Mail(app)
mailer.send(MessageClass(**kwargs))
if 'to' in kwargs:
return "Mail type: %s, recipient: %s" % (MessageClass.desc(), kwargs['to'])
return True
def test_similar(self):
ctx = app.test_request_context()
ctx.push()
from engine import content_engine
content_engine.train('sample-data.csv')
data = {'item': 1, 'num': 10}
headers = [('Content-Type', 'application/json'), ('X-API-TOKEN', current_app.config['API_TOKEN'])]
json_data = json.dumps(data)
json_data_length = len(json_data)
headers.append(('Content-Length', str(json_data_length)))
response = app.test_client().post('/score', headers=headers, data=json_data)
response = json.loads(response.data)
self.assertEqual(len(response), 10)
self.assertEqual(response[0][0], "19")
def test_similar(self,item,NUM_DATA):
ctx = app.test_request_context()
ctx.push()
from engines import content_engine
#content_engine.train('sample-data.csv')
#content_engine.train('result.csv')
items=item.split('-')
result=[]
k={}
for i in items:
data = {'item': i, 'num': int(NUM_DATA)}
headers = [('Content-Type', 'application/json'), ('X-API-TOKEN', current_app.config['API_TOKEN'])]
json_data = json.dumps(data)
json_data_length = len(json_data)
headers.append(('Content-Length', str(json_data_length)))
# print json_data
response = app.test_client().post('/predict', headers=headers, data=json_data)
# print response
response = json.loads(response.data)
result = result+response
for i,j in result:
if i not in k.keys():
k[i]=1
else:
k[i]=k[i]+1
s=sorted(k.items(),key=lambda item:item[1],reverse=True)
#print s
result=[]
num=0
for key in s:
if key in items:
continue
result.append(int(key[0]))
num = num +1
if (num > int(NUM_DATA)):
break
print result
return result
def test_keyword(self):
with app.test_request_context('/api/keyword/56'):
print(keyword(_id=56))
def test_page(self):
with app.test_request_context('/api/page/404'):
print(page(_id=404))
def test_speciality(self):
with app.test_request_context('/api/speciality/132'):
print(speciality(_id=132))
def test_station(self):
with app.test_request_context('/api/station/10'):
print(station(_id=10))
def setUp(self):
app.config['TESTING'] = True
app.config['CSRF_ENABLED'] = False
with app.test_request_context():
self.form = UserProfileForm()
def setUp(self):
app.config['TESTING'] = True
app.config['CSRF_ENABLED'] = False
with app.test_request_context():
self.form = AccountSettingsForm()
from flask import render_template
import codecs
import csv
from web import app
def unicodeit(d):
for k in list(d.keys()):
d[k] = d[k] if isinstance(d[k], unicode) else unicode(d[k], 'utf-8')
return d
with app.test_request_context(''):
app.preprocess_request()
with open('data/organizations.csv') as infile:
orgs = [unicodeit(r) for r in csv.DictReader(infile)]
orgs = sorted(orgs, cmp=lambda x, y: cmp(x['country'] + x['name'], y['country'] + y['name']))
countries = sorted(set(o['country'] for o in orgs))
with codecs.open('templates/_orgs.html', 'w', 'utf-8') as outfile:
outfile.write(render_template('_orgs-template.html', orgs=orgs, countries=countries))
