summaryrefslogtreecommitdiff
path: root/qpid/cpp/bindings/qpid/examples/python/statistics.py
diff options
context:
space:
mode:
Diffstat (limited to 'qpid/cpp/bindings/qpid/examples/python/statistics.py')
-rw-r--r--qpid/cpp/bindings/qpid/examples/python/statistics.py139
1 files changed, 139 insertions, 0 deletions
diff --git a/qpid/cpp/bindings/qpid/examples/python/statistics.py b/qpid/cpp/bindings/qpid/examples/python/statistics.py
new file mode 100644
index 0000000000..089b81b740
--- /dev/null
+++ b/qpid/cpp/bindings/qpid/examples/python/statistics.py
@@ -0,0 +1,139 @@
+#!/usr/bin/env python
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+
+import time
+
+TS = "ts"
+TIME_SEC = 1000000000
+MILLISECOND = 1000
+
+class Statistic:
+ def message(self, msg):
+ return
+ def report(self):
+ return ""
+ def header(self):
+ return ""
+
+
+class Throughput(Statistic):
+ def __init__(self):
+ self.messages = 0
+ self.started = False
+
+ def message(self, m):
+ self.messages += 1
+ if not self.started:
+ self.start = time.time()
+ self.started = True
+
+ def header(self):
+ return "tp(m/s)"
+
+ def report(self):
+ if self.started:
+ elapsed = time.time() - self.start
+ return str(int(self.messages/elapsed))
+ else:
+ return "0"
+
+
+class ThroughputAndLatency(Throughput):
+ def __init__(self):
+ Throughput.__init__(self)
+ self.total = 0.0
+ self.min = float('inf')
+ self.max = -float('inf')
+ self.samples = 0
+
+ def message(self, m):
+ Throughput.message(self, m)
+ if TS in m.properties:
+ self.samples+=1
+ latency = MILLISECOND * (time.time() - float(m.properties[TS])/TIME_SEC)
+ if latency > 0:
+ self.total += latency
+ if latency < self.min:
+ self.min = latency
+ if latency > self.max:
+ self.max = latency
+
+ def header(self):
+# Throughput.header(self)
+ return "%s\tl-min\tl-max\tl-avg" % Throughput.header(self)
+
+ def report(self):
+ output = Throughput.report(self)
+ if (self.samples > 0):
+ output += "\t%.2f\t%.2f\t%.2f" %(self.min, self.max, self.total/self.samples)
+ return output
+
+
+# Report batch and overall statistics
+class ReporterBase:
+ def __init__(self, batch, wantHeader):
+ self.batchSize = batch
+ self.batchCount = 0
+ self.headerPrinted = not wantHeader
+ self.overall = None
+ self.batch = None
+
+ def create(self):
+ return
+
+ # Count message in the statistics
+ def message(self, m):
+ if self.overall == None:
+ self.overall = self.create()
+ self.overall.message(m)
+ if self.batchSize:
+ if self.batch == None:
+ self.batch = self.create()
+ self.batch.message(m)
+ self.batchCount+=1
+ if self.batchCount == self.batchSize:
+ self.header()
+ print self.batch.report()
+ self.create()
+ self.batchCount = 0
+
+ # Print overall report.
+ def report(self):
+ if self.overall == None:
+ self.overall = self.create()
+ self.header()
+ print self.overall.report()
+
+ def header(self):
+ if not self.headerPrinted:
+ if self.overall == None:
+ self.overall = self.create()
+ print self.overall.header()
+ self.headerPrinted = True
+
+
+class Reporter(ReporterBase):
+ def __init__(self, batchSize, wantHeader, Stats):
+ ReporterBase.__init__(self, batchSize, wantHeader)
+ self.__stats = Stats
+
+ def create(self):
+ ClassName = self.__stats.__class__
+ return ClassName()