def get(self):
m = MarkovChains()
m.load_db('gquery2')
users = m.db.get_users()
values = {'users': users}
self.response.headers['Content-Type'] = 'text/xml'
self.response.out.write(template.render(self.path, values))
def post(self):
text = self.request.get('sentences')
user = self.request.get('user', default_value=None)
m = MarkovChains()
m.load_db('gquery2')
m.db.store_sentence(text)
values = {}
self.response.out.write(template.render(self.path, values))
def get(self):
m = MarkovChains()
m.load_db('gquery2')
word = self.request.get('word', default_value=None)
text = m.db.fetch_new_sentence()
taskqueue.add(url='/task/talk')
values = {'text': text}
self.response.out.write(template.render(self.path, values))
def get(self):
m = MarkovChains()
m.load_db('gquery')
user = self.request.get('user', default_value=None)
if user:
chains = m.db.uchain.all()
else:
chains = m.db.chain.all()
values = {'chains': chains}
self.response.out.write(template.render(self.path, values))
def get(self):
filename = os.path.join('db','sentence_get.xml')
path = get_path(filename)
m = MarkovChains()
m.load_db('gquery2')
word = self.request.get('first_word', default_value=None)
user = self.request.get('user', default_value=None)
text = m.db.fetch_new_sentence()
taskqueue.add(url='/task/talk')
values = {'text': text}
self.response.headers['Content-Type'] = 'text/xml'
self.response.out.write(template.render(path, values))
def post(self):
text = self.request.get('sentences')
user = self.request.get('user')
m = MarkovChains()
m.load_db('gquery2')
m.db.store_sentence(text)
def post(self):
m = MarkovChains()
m.load_db('gquery2')
m.db.store_new_sentence()
