def __call__(self, environ, start_response):
CurrentRequestId.set(None)
# Never profile calls to the profiler itself to avoid endless recursion.
if (not config.should_profile() or
environ.get("PATH_INFO", "").startswith("/gae_mini_profiler/")):
result = self.app(environ, start_response)
for value in result:
yield value
else:
# Set a random ID for this request so we can look up stats later
import base64
CurrentRequestId.set(base64.urlsafe_b64encode(os.urandom(5)))
# Send request id in headers so jQuery ajax calls can pick
# up profiles.
def profiled_start_response(status, headers, exc_info = None):
if status.startswith("302 "):
# Temporary redirect. Add request identifier to redirect location
# so next rendered page can show this request's profile.
headers = ProfilerWSGIMiddleware.headers_with_modified_redirect(environ, headers)
# Access the profiler in closure scope
profiler.temporary_redirect = True
# Append headers used when displaying profiler results from ajax requests
headers.append(("X-MiniProfiler-Id", CurrentRequestId.get()))
headers.append(("X-MiniProfiler-QS", environ.get("QUERY_STRING")))
return start_response(status, headers, exc_info)
# As a simple form of rate-limiting, appstats protects all
# its work with a memcache lock to ensure that only one
# appstats request ever runs at a time, across all
# appengine instances. (GvR confirmed this is the purpose
# of the lock). So our attempt to profile will fail if
# appstats is running on another instance. Boo-urns! We
# just turn off the lock-checking for us, which means we
# don't rate-limit quite as much with the mini-profiler as
# we would do without.
old_memcache_add = memcache.add
old_memcache_delete = memcache.delete
memcache.add = (lambda key, *args, **kwargs:
(True if key == recording.lock_key()
else old_memcache_add(key, *args, **kwargs)))
memcache.delete = (lambda key, *args, **kwargs:
(True if key == recording.lock_key()
else old_memcache_delete(key, *args, **kwargs)))
try:
profiler = RequestProfiler(CurrentRequestId.get(),
Mode.get_mode(environ))
result = profiler.profile_start_response(self.app, environ, profiled_start_response)
for value in result:
yield value
finally:
CurrentRequestId.set(None)
memcache.add = old_memcache_add
memcache.delete = old_memcache_delete
def __call__(self, environ, start_response):
CurrentRequestId.set(None)
# Never profile calls to the profiler itself to avoid endless recursion.
if (not config.should_profile() or
environ.get("PATH_INFO", "").startswith("/gae_mini_profiler/")):
result = self.app(environ, start_response)
for value in result:
yield value
else:
# Set a random ID for this request so we can look up stats later
import base64
CurrentRequestId.set(base64.urlsafe_b64encode(os.urandom(5)))
# Send request id in headers so jQuery ajax calls can pick
# up profiles.
def profiled_start_response(status, headers, exc_info = None):
if status.startswith("302 "):
# Temporary redirect. Add request identifier to redirect location
# so next rendered page can show this request's profile.
headers = ProfilerWSGIMiddleware.headers_with_modified_redirect(environ, headers)
# Access the profiler in closure scope
profiler.temporary_redirect = True
# Append headers used when displaying profiler results from ajax requests
headers.append(("X-MiniProfiler-Id", CurrentRequestId.get()))
headers.append(("X-MiniProfiler-QS", environ.get("QUERY_STRING")))
return start_response(status, headers, exc_info)
# As a simple form of rate-limiting, appstats protects all
# its work with a memcache lock to ensure that only one
# appstats request ever runs at a time, across all
# appengine instances. (GvR confirmed this is the purpose
# of the lock). So our attempt to profile will fail if
# appstats is running on another instance. Boo-urns! We
# just turn off the lock-checking for us, which means we
# don't rate-limit quite as much with the mini-profiler as
# we would do without.
old_memcache_add = memcache.add
old_memcache_delete = memcache.delete
memcache.add = (lambda key, *args, **kwargs:
(True if key == recording.lock_key()
else old_memcache_add(key, *args, **kwargs)))
memcache.delete = (lambda key, *args, **kwargs:
(True if key == recording.lock_key()
else old_memcache_delete(key, *args, **kwargs)))
try:
profiler = RequestProfiler(CurrentRequestId.get(),
Mode.get_mode(environ))
result = profiler.profile_start_response(self.app, environ, profiled_start_response)
for value in result:
yield value
finally:
CurrentRequestId.set(None)
memcache.add = old_memcache_add
memcache.delete = old_memcache_delete
def profiler_includes():
if not config.should_profile():
return ''
return profiler_includes_request_id(profiler.CurrentRequestId.get())
