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()