def get(self):
recording.dont_record()
if not self.request.path.endswith('/'):
self.redirect(self.request.path + '/')
return
summaries = recording.load_summary_protos()
data = self._get_summary_data(summaries)
self.response.out.write(render('main.html', data))
def test_appstats_middleware(self):
request = Request({})
middleware = AppStatsMiddleware()
r = middleware.process_request(request)
self.assertTrue(r is None)
r = middleware.process_response(request, BaseResponse("", 200))
self.assertTrue(isinstance(r, BaseResponse))
summary = recording.load_summary_protos()
self.assert_(summary)
def test_appstats_middleware(self):
request = Request({})
middleware = AppStatsMiddleware()
r = middleware.process_request(request)
self.assertTrue(r is None)
r = middleware.process_response(request, BaseResponse("", 200))
self.assertTrue(isinstance(r, BaseResponse))
summary = recording.load_summary_protos()
self.assert_(summary)
def getCounters(self, from_time, until_time):
result = {}
summaries = recording.load_summary_protos()
per_request_re = False
if config.APPSTATS_PER_REQUESTS:
per_request_re = re.compile(config.APPSTATS_PER_REQUESTS)
for index, summary in enumerate(summaries):
end_time = datetime.datetime.fromtimestamp(
(summary.start_timestamp_milliseconds() + summary.duration_milliseconds()) / 1000
)
if end_time <= from_time or end_time > until_time:
continue
path_key = summary.http_path()
if config.APPSTATS_DIFFERENTIATE_BETWEEN_POST_AND_GET:
path_key += "." + summary.http_method()
if not per_request_re:
path_key = False
elif not per_request_re.match(path_key):
path_key = "Other"
self.append(end_time, "AppStats.Requests.All", 1, result)
self.append(end_time, "AppStats.Latency.Real.All", summary.duration_milliseconds(), result)
self.append(end_time, "AppStats.Latency.API.All", summary.api_milliseconds(), result)
self.append(end_time, "AppStats.Latency.Overhead.All", summary.overhead_walltime_milliseconds(), result)
if path_key:
self.append(end_time, "AppStats.Requests.All." + path_key, 1, result)
self.append(end_time, "AppStats.Latency.Real.All." + path_key, summary.duration_milliseconds(), result)
self.append(end_time, "AppStats.Latency.API.All." + path_key, summary.api_milliseconds(), result)
for x in summary.rpc_stats_list():
rpc_key = x.service_call_name()
value = x.total_amount_of_calls()
self.append(end_time, "AppStats.RPC." + rpc_key, value, result)
self.append(end_time, "AppStats.RPC.Total", value, result)
if path_key:
self.append(end_time, "AppStats.RPC." + rpc_key + "." + path_key, value, result)
self.append(end_time, "AppStats.RPC.Total." + path_key, value, result)
for key in result.keys():
if key.startswith("AppStats.Latency") or key.startswith("AppStats.Requests"):
for percentile in config.APPSTATS_PERCENTILES:
new_key = key.replace("All", str(percentile) + "thPercentile", 1)
result[new_key] = {}
for slot in result[key]:
if key.startswith("AppStats.Latency") or key.startswith("AppStats.Requests"):
result[key][slot].sort()
for percentile in config.APPSTATS_PERCENTILES:
len_percentile = int(math.ceil(len(result[key][slot]) / 100.0 * percentile))
new_key = key.replace("All", str(percentile) + "thPercentile", 1)
result[new_key][slot] = int(sum(result[key][slot][:len_percentile]) / len_percentile)
result[key][slot] = sum(result[key][slot])
return result
def get(self):
recording.dont_record()
if not self.request.path.endswith('/'):
self.redirect(self.request.path + '/')
return
summaries = recording.load_summary_protos()
data = self._get_summary_data(summaries)
self.response.out.write(render('main.html', data))
def get(self):
recording.dont_record()
if not self.request.path.endswith('/'):
self.redirect(self.request.path + '/')
return
summaries = recording.load_summary_protos()
allstats = {}
pathstats = {}
pivot_path_rpc = {}
pivot_rpc_path = {}
for index, summary in enumerate(summaries):
path_key = recording.config.extract_key(summary)
if path_key not in pathstats:
pathstats[path_key] = [1, index + 1]
else:
values = pathstats[path_key]
values[0] += 1
if len(values) >= 11:
if values[-1]:
values.append(0)
else:
values.append(index + 1)
if path_key not in pivot_path_rpc:
pivot_path_rpc[path_key] = {}
for x in summary.rpc_stats_list():
rpc_key = x.service_call_name()
value = x.total_amount_of_calls()
if rpc_key in allstats:
allstats[rpc_key] += value
else:
allstats[rpc_key] = value
if rpc_key not in pivot_path_rpc[path_key]:
pivot_path_rpc[path_key][rpc_key] = 0
pivot_path_rpc[path_key][rpc_key] += value
if rpc_key not in pivot_rpc_path:
pivot_rpc_path[rpc_key] = {}
if path_key not in pivot_rpc_path[rpc_key]:
pivot_rpc_path[rpc_key][path_key] = 0
pivot_rpc_path[rpc_key][path_key] += value
allstats_by_count = []
for k, v in allstats.iteritems():
pivot = sorted(pivot_rpc_path[k].iteritems(),
key=lambda x: (-x[1], x[0]))
allstats_by_count.append((k, v, pivot))
allstats_by_count.sort(key=lambda x: (-x[1], x[0]))
pathstats_by_count = []
for path_key, values in pathstats.iteritems():
pivot = sorted(pivot_path_rpc[path_key].iteritems(),
key=lambda x: (-x[1], x[0]))
rpc_count = sum(x[1] for x in pivot)
pathstats_by_count.append(
(path_key, rpc_count, values[0], values[1:], pivot))
pathstats_by_count.sort(key=lambda x: (-x[1], -x[2], x[0]))
data = {
'requests': summaries,
'allstats_by_count': allstats_by_count,
'pathstats_by_count': pathstats_by_count,
}
self.response.out.write(render('main.html', data))
def get(self):
recording.dont_record()
if not self.request.path.endswith('/'):
self.redirect(self.request.path + '/')
return
summaries = recording.load_summary_protos()
allstats = {}
pathstats = {}
pivot_path_rpc = {}
pivot_rpc_path = {}
for index, summary in enumerate(summaries):
path_key = recording.config.extract_key(summary)
if path_key not in pathstats:
pathstats[path_key] = [1, index+1]
else:
values = pathstats[path_key]
values[0] += 1
if len(values) >= 11:
if values[-1]:
values.append(0)
else:
values.append(index+1)
if path_key not in pivot_path_rpc:
pivot_path_rpc[path_key] = {}
for x in summary.rpc_stats_list():
rpc_key = x.service_call_name()
value = x.total_amount_of_calls()
if rpc_key in allstats:
allstats[rpc_key] += value
else:
allstats[rpc_key] = value
if rpc_key not in pivot_path_rpc[path_key]:
pivot_path_rpc[path_key][rpc_key] = 0
pivot_path_rpc[path_key][rpc_key] += value
if rpc_key not in pivot_rpc_path:
pivot_rpc_path[rpc_key] = {}
if path_key not in pivot_rpc_path[rpc_key]:
pivot_rpc_path[rpc_key][path_key] = 0
pivot_rpc_path[rpc_key][path_key] += value
allstats_by_count = []
for k, v in allstats.iteritems():
pivot = sorted(pivot_rpc_path[k].iteritems(),
key=lambda x: (-x[1], x[0]))
allstats_by_count.append((k, v, pivot))
allstats_by_count.sort(key=lambda x: (-x[1], x[0]))
pathstats_by_count = []
for path_key, values in pathstats.iteritems():
pivot = sorted(pivot_path_rpc[path_key].iteritems(),
key=lambda x: (-x[1], x[0]))
rpc_count = sum(x[1] for x in pivot)
pathstats_by_count.append((path_key, rpc_count,
values[0], values[1:], pivot))
pathstats_by_count.sort(key=lambda x: (-x[1], -x[2], x[0]))
data = {'requests': summaries,
'allstats_by_count': allstats_by_count,
'pathstats_by_count': pathstats_by_count,
}
self.response.out.write(render('main.html', data))
def test_appstats_middleware_request(self):
response = self.client.get('/no_decorator')
summary = recording.load_summary_protos()
self.assert_(summary)
def FromMemcache(filter_timestamp=0, java_application=False):
"""Reads appstats data from memcache.
Get all appstats full records from memcache which
correspond to requests with a greater timestamp
than filter_timestamp
Args:
filter_timestamp: only retrieve records with timestamp
(in milliseconds) higher than this value. If 0, all
records are retrieved.
java_application: Boolean. If true, this function is being
called by the download_appstats tool for a Java
application.
Returns:
List of RequestStatProto protobufs.
"""
records = []
logging.info('Loading appstats summaries...')
summaries = recording.load_summary_protos(java_application)
logging.info('Loaded %d summaries. Loading full records...',
len(summaries))
start_time = time.time()
missing_full_records = 0
failed_requests = 0
for count, summary in enumerate(summaries):
time_key = summary.start_timestamp_milliseconds()
if time_key <= filter_timestamp:
logging.info('Only %d records with newer timestamp.'
' Skipping rest.', count)
break
timestamp = int(time_key) * 0.001
record = recording.load_full_proto(timestamp, java_application)
if not record:
missing_full_records += 1
continue
httpstatus = int(record.http_status())
if httpstatus >= 400:
failed_requests += 1
continue
records.append(record)
if len(records) % 10 == 0:
logging.info('Download in progress..completed %d..', len(records))
if not records:
logging.info('No full records present in memcache for succesful requests.')
else:
end_time = time.time()
elapsed = max(end_time - start_time, 0)
time_per_record = elapsed/len(records)
logging.info('Done. %d full records downloaded in %.2f secs '
'[%.2f secs per full record]',
len(records), elapsed, time_per_record)
if missing_full_records:
logging.info('Skipped %d summaries with missing full records',
missing_full_records)
if failed_requests:
logging.info('Skipped %d summaries corresponding to failed requests',
failed_requests)
return records
def load_summary_protos(filter_timestamp=0): """Fetch only AppStats summary protos and filter by optional timestamp.""" return [x for x in recording.load_summary_protos() if x.start_timestamp_milliseconds() > filter_timestamp]
def FromMemcache(filter_timestamp=0, java_application=False):
"""Reads appstats data from memcache.
Get all appstats full records from memcache which
correspond to requests with a greater timestamp
than filter_timestamp
Args:
filter_timestamp: only retrieve records with timestamp
(in milliseconds) higher than this value. If 0, all
records are retrieved.
java_application: Boolean. If true, this function is being
called by the download_appstats tool for a Java
application.
Returns:
List of RequestStatProto protobufs.
"""
records = []
logging.info('Loading appstats summaries...')
summaries = recording.load_summary_protos(java_application)
logging.info('Loaded %d summaries. Loading full records...',
len(summaries))
start_time = time.time()
missing_full_records = 0
failed_requests = 0
for count, summary in enumerate(summaries):
time_key = summary.start_timestamp_milliseconds()
if time_key <= filter_timestamp:
logging.info(
'Only %d records with newer timestamp.'
' Skipping rest.', count)
break
timestamp = int(time_key) * 0.001
record = recording.load_full_proto(timestamp, java_application)
if not record:
missing_full_records += 1
continue
httpstatus = int(record.http_status())
if httpstatus >= 400:
failed_requests += 1
continue
records.append(record)
if len(records) % 10 == 0:
logging.info('Download in progress..completed %d..', len(records))
if not records:
logging.info(
'No full records present in memcache for succesful requests.')
else:
end_time = time.time()
elapsed = max(end_time - start_time, 0)
time_per_record = elapsed / len(records)
logging.info(
'Done. %d full records downloaded in %.2f secs '
'[%.2f secs per full record]', len(records), elapsed,
time_per_record)
if missing_full_records:
logging.info('Skipped %d summaries with missing full records',
missing_full_records)
if failed_requests:
logging.info(
'Skipped %d summaries corresponding to failed requests',
failed_requests)
return records
def getCounters(self, from_time, until_time):
result = {}
summaries = recording.load_summary_protos()
per_request_re = False
if config.APPSTATS_PER_REQUESTS:
per_request_re = re.compile(config.APPSTATS_PER_REQUESTS)
for index, summary in enumerate(summaries):
end_time = datetime.datetime.fromtimestamp(
(summary.start_timestamp_milliseconds() +
summary.duration_milliseconds()) / 1000)
if end_time <= from_time or end_time > until_time:
continue
path_key = summary.http_path()
if config.APPSTATS_DIFFERENTIATE_BETWEEN_POST_AND_GET:
path_key += "." + summary.http_method()
if not per_request_re:
path_key = False
elif not per_request_re.match(path_key):
path_key = "Other"
self.append(end_time, "AppStats.Requests.All", 1, result)
self.append(end_time, "AppStats.Latency.Real.All",
summary.duration_milliseconds(), result)
self.append(end_time, "AppStats.Latency.API.All",
summary.api_milliseconds(), result)
self.append(end_time, "AppStats.Latency.Overhead.All",
summary.overhead_walltime_milliseconds(), result)
if path_key:
self.append(end_time, "AppStats.Requests.All." + path_key, 1,
result)
self.append(end_time, "AppStats.Latency.Real.All." + path_key,
summary.duration_milliseconds(), result)
self.append(end_time, "AppStats.Latency.API.All." + path_key,
summary.api_milliseconds(), result)
for x in summary.rpc_stats_list():
rpc_key = x.service_call_name()
value = x.total_amount_of_calls()
self.append(end_time, "AppStats.RPC." + rpc_key, value, result)
self.append(end_time, "AppStats.RPC.Total", value, result)
if path_key:
self.append(end_time,
"AppStats.RPC." + rpc_key + "." + path_key,
value, result)
self.append(end_time, "AppStats.RPC.Total." + path_key,
value, result)
for key in result.keys():
if (key.startswith("AppStats.Latency")
or key.startswith("AppStats.Requests")):
for percentile in config.APPSTATS_PERCENTILES:
new_key = key.replace("All",
str(percentile) + "thPercentile", 1)
result[new_key] = {}
for slot in result[key]:
if (key.startswith("AppStats.Latency")
or key.startswith("AppStats.Requests")):
result[key][slot].sort()
for percentile in config.APPSTATS_PERCENTILES:
len_percentile = int(
math.ceil(
len(result[key][slot]) / 100.0 * percentile))
new_key = key.replace("All",
str(percentile) + "thPercentile",
1)
result[new_key][slot] = \
int(sum(result[key][slot][:len_percentile]) / len_percentile)
result[key][slot] = sum(result[key][slot])
return result
def test_appstats_middleware_request(self):
response = self.client.get('/no_decorator')
summary = recording.load_summary_protos()
self.assert_(summary)
def load_summary_protos(filter_timestamp=0):
"""Fetch only AppStats summary protos and filter by optional timestamp."""
return [
x for x in recording.load_summary_protos()
if x.start_timestamp_milliseconds() > filter_timestamp
]
