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+# -*- coding: utf-8 -*-
+"""
+ werkzeug.contrib.profiler
+ ~~~~~~~~~~~~~~~~~~~~~~~~~
+
+ This module provides a simple WSGI profiler middleware for finding
+ bottlenecks in web application. It uses the :mod:`profile` or
+ :mod:`cProfile` module to do the profiling and writes the stats to the
+ stream provided (defaults to stderr).
+
+ Example usage::
+
+ from werkzeug.contrib.profiler import ProfilerMiddleware
+ app = ProfilerMiddleware(app)
+
+ :copyright: (c) 2011 by the Werkzeug Team, see AUTHORS for more details.
+ :license: BSD, see LICENSE for more details.
+"""
+import sys
+try:
+ try:
+ from cProfile import Profile
+ except ImportError:
+ from profile import Profile
+ from pstats import Stats
+ available = True
+except ImportError:
+ available = False
+
+
+class MergeStream(object):
+ """An object that redirects `write` calls to multiple streams.
+ Use this to log to both `sys.stdout` and a file::
+
+ f = open('profiler.log', 'w')
+ stream = MergeStream(sys.stdout, f)
+ profiler = ProfilerMiddleware(app, stream)
+ """
+
+ def __init__(self, *streams):
+ if not streams:
+ raise TypeError('at least one stream must be given')
+ self.streams = streams
+
+ def write(self, data):
+ for stream in self.streams:
+ stream.write(data)
+
+
+class ProfilerMiddleware(object):
+ """Simple profiler middleware. Wraps a WSGI application and profiles
+ a request. This intentionally buffers the response so that timings are
+ more exact.
+
+ For the exact meaning of `sort_by` and `restrictions` consult the
+ :mod:`profile` documentation.
+
+ :param app: the WSGI application to profile.
+ :param stream: the stream for the profiled stats. defaults to stderr.
+ :param sort_by: a tuple of columns to sort the result by.
+ :param restrictions: a tuple of profiling strictions.
+ """
+
+ def __init__(self, app, stream=None,
+ sort_by=('time', 'calls'), restrictions=()):
+ if not available:
+ raise RuntimeError('the profiler is not available because '
+ 'profile or pstat is not installed.')
+ self._app = app
+ self._stream = stream or sys.stdout
+ self._sort_by = sort_by
+ self._restrictions = restrictions
+
+ def __call__(self, environ, start_response):
+ response_body = []
+
+ def catching_start_response(status, headers, exc_info=None):
+ start_response(status, headers, exc_info)
+ return response_body.append
+
+ def runapp():
+ appiter = self._app(environ, catching_start_response)
+ response_body.extend(appiter)
+ if hasattr(appiter, 'close'):
+ appiter.close()
+
+ p = Profile()
+ p.runcall(runapp)
+ body = ''.join(response_body)
+ stats = Stats(p, stream=self._stream)
+ stats.sort_stats(*self._sort_by)
+
+ self._stream.write('-' * 80)
+ self._stream.write('\nPATH: %r\n' % environ.get('PATH_INFO'))
+ stats.print_stats(*self._restrictions)
+ self._stream.write('-' * 80 + '\n\n')
+
+ return [body]
+
+
+def make_action(app_factory, hostname='localhost', port=5000,
+ threaded=False, processes=1, stream=None,
+ sort_by=('time', 'calls'), restrictions=()):
+ """Return a new callback for :mod:`werkzeug.script` that starts a local
+ server with the profiler enabled.
+
+ ::
+
+ from werkzeug.contrib import profiler
+ action_profile = profiler.make_action(make_app)
+ """
+ def action(hostname=('h', hostname), port=('p', port),
+ threaded=threaded, processes=processes):
+ """Start a new development server."""
+ from werkzeug.serving import run_simple
+ app = ProfilerMiddleware(app_factory(), stream, sort_by, restrictions)
+ run_simple(hostname, port, app, False, None, threaded, processes)
+ return action