如何在下的配置文件 python代码谷歌应用程序引擎运行时 python27 ?
在运行时 python 中,此代码已完成-python runtime:
from google.appengine.ext import webapp
class PageHandler(webapp.RequestHandler):
def get(self):
self.response.headers['Content-Type'] = 'text/plain'
self.response.out.write('Hello, WebApp World!')
def real_main():
application = webapp.WSGIApplication([('/', PageHandler)], debug=True)
run_wsgi_app(application)
def profile_main():
# This is the main function for profiling
# We've renamed our original main() above to real_main()
import cProfile, pstats, StringIO
prof = cProfile.Profile()
prof = prof.runctx('real_main()', globals(), locals())
stream = StringIO.StringIO()
stats = pstats.Stats(prof, stream=stream)
stats.sort_stats('cumulative')
logging.info("Profile data:\n%s", stream.getvalue())
if __name__ == "__main__":
profile_main()
在运行时 python27 是必须做的不同,因为没有主调用-如何做同样的事情-我想切换到python27,但要进行性能分析。如何在 python27 -python27 runtime中附加分析器?
import webapp2
class PageHandler(webapp2.RequestHandler):
def get(self):
self.response.headers['Content-Type'] = 'text/plain'
self.response.out.write('Hello, WebApp World!')
app = webapp2.WSGIApplication([('/', PageHandler)])
最佳答案
您可以通过在appengine_config.py中插入来使用WSGI中间件来分析WSGI应用程序:
import cProfile
import cStringIO
import logging
import pstats
def webapp_add_wsgi_middleware(app):
def profiling_wrapper(environ, start_response):
profile = cProfile.Profile()
response = profile.runcall(app, environ, start_response)
stream = cStringIO.StringIO()
stats = pstats.Stats(profile, stream=stream)
stats.sort_stats('cumulative').print_stats()
logging.info('Profile data:\n%s', stream.getvalue())
return response
return profiling_wrapper
关于python - 如何配置Google App Engine python27运行时(不是python),我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/10040783/