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main.py
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main.py
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#!/opt/local/bin/python2.5
# -*- coding:utf-8 -*-
import sys
import os
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util, template
from google.appengine.api.labs import taskqueue
from google.appengine.ext import db
"""
文字コードの設定
"""
stdin = sys.stdin
stdout = sys.stdout
reload(sys)
sys.setdefaultencoding('utf-8')
sys.stdin = stdin
sys.stdout = stdout
"""
自作モジュールの path 設定
"""
sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'lib'))
from markovchains import MarkovChains
from database import Chain
TEMPLATE_DIR = os.path.join(os.path.dirname(__file__), 'views')
def get_path(filename):
return os.path.join(TEMPLATE_DIR, filename)
class ShowHandler(webapp.RequestHandler):
path = get_path('show.html')
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))
class TalkHandler(webapp.RequestHandler):
path = get_path('talk.html')
def get(self):
self.response.out.write(template.render(self.path, {}))
def post(self):
if self.request.get('sentences'):
text = self.request.get('sentences')
m = MarkovChains()
m.analyze_sentence(text)
word = self.request.get('word', default_value=None)
result = m.make_sentence(word=word)
_chaindic = m.chaindic
chaindic = []
for prewords in _chaindic:
for postword in _chaindic[prewords]:
if _chaindic[prewords][postword].isstart:
chaindic.append((prewords[0],prewords[1],postword))
values = {'result':result, 'chaindic':chaindic, 'original':text}
self.response.out.write(template.render(self.path, values))
else:
values = {'result':''}
self.response.out.write(template.render(self.path, values))
class LearnHandler(webapp.RequestHandler):
path = get_path('learn.html')
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 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))
class LearnTask(webapp.RequestHandler):
def post(self):
text = self.request.get('sentences')
user = self.request.get('user')
m = MarkovChains()
m.load_db('gquery2')
m.db.store_sentence(text)
class ApiSentenceHandler(webapp.RequestHandler):
path = get_path('sentence.xml')
def post(self):
if self.request.get('sentences'):
text = self.request.get('sentences')
m = MarkovChains()
m.analyze_sentence(text)
word = self.request.get('first_word', default_value=None)
result = m.make_sentence(word=word)
values = {'result':result}
self.response.headers['Content-Type'] = 'text/xml'
self.response.out.write(template.render(self.path, values))
else:
values = {'result':''}
self.response.headers['Content-Type'] = 'text/xml'
self.response.out.write(template.render(self.path, values))
class ApiDbSentenceLearnTask(webapp.RequestHandler):
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)
class ApiDbSentenceTalkTask(webapp.RequestHandler):
def get(self):
m = MarkovChains()
m.load_db('gquery2')
m.db.store_new_sentence()
def post(self):
m = MarkovChains()
m.load_db('gquery2')
m.db.store_new_sentence()
class ApiDbSentenceHandler(webapp.RequestHandler):
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):
filename = os.path.join('db','sentence_post.xml')
path = get_path(filename)
text = self.request.get('sentences')
user = self.request.get('user', default_value=None)
taskqueue.add(url='/task/learn',
params={'sentences': text, 'user': user})
self.response.headers['Content-Type'] = 'text/xml'
self.response.out.write(template.render(path, {}))
class ApiDbUserHandler(webapp.RequestHandler):
filename = os.path.join('os', 'user.xml')
path = get_path(filename)
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))
class DeleteHandler(webapp.RequestHandler):
def get(self):
from google.appengine.api import memcache
memcache.flush_all()
def main():
#def real_main():
application = webapp.WSGIApplication([
('/', TalkHandler),
('/learn', LearnHandler),
('/show', ShowHandler),
('/api/sentence', ApiSentenceHandler),
('/api/db/sentence', ApiDbSentenceHandler),
('/api/db/users', ApiDbUserHandler),
('/task/learn', ApiDbSentenceLearnTask),
('/task/talk', ApiDbSentenceTalkTask),
('/delete', DeleteHandler),
], debug=False)
util.run_wsgi_app(application)
def profile_main():
import cProfile, pstats, StringIO, logging
prof = cProfile.Profile().runctx("real_main()", globals(), locals())
stream = StringIO.StringIO()
stats = pstats.Stats(prof, stream=stream).strip_dirs()
stats.sort_stats("cumulative")
stats.print_stats('from*')
logging.info("Profile data:\n%s", stream.getvalue())
if __name__ == '__main__':
main()
#profile_main()