LoadTesting
Changes
.gitignore 1(+1 -0)
_reporting/process.py 113(+113 -0)
_reporting/process2.py 11(+11 -0)
_reporting/process3.py 91(+91 -0)
_reporting/process4.py 187(+187 -0)
_reporting/results.html 48(+48 -0)
_reporting/stocks.html 48(+48 -0)
oregon/locustEvents.py 72(+72 -0)
oregon/locustfile_exportImage.py 107(+107 -0)
oregon/locustfile_tileImage.py 110(+110 -0)
oregon/webui.py 5(+5 -0)
qsi/locustEvents.py 72(+72 -0)
qsi/locustfile_exportImage.py 107(+107 -0)
qsi/locustfile_tileImage.py 110(+110 -0)
qsi/webui.py 5(+5 -0)
Details
.gitignore 1(+1 -0)
diff --git a/.gitignore b/.gitignore
index 1397432..7934ec3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
*.pkl
+*.pyc
_reporting/process.py 113(+113 -0)
diff --git a/_reporting/process.py b/_reporting/process.py
new file mode 100644
index 0000000..605b41c
--- /dev/null
+++ b/_reporting/process.py
@@ -0,0 +1,113 @@
+import numpy as np
+import pickle
+from datetime import tzinfo, timedelta, datetime
+from bokeh.layouts import gridplot
+from bokeh.plotting import figure, show, output_file
+from bokeh.sampledata.stocks import AAPL, GOOG, IBM, MSFT
+from bokeh.charts import Step
+from bokeh.models import Span
+
+
+
+class FixedOffset(tzinfo):
+ """Fixed offset in minutes east from UTC."""
+
+ def __init__(self, offset, name):
+ self.__offset = timedelta(minutes = offset)
+ self.__name = name
+
+ def utcoffset(self, dt):
+ return self.__offset
+
+ def tzname(self, dt):
+ return self.__name
+
+ def dst(self, dt):
+ return ZERO
+
+f = open('../results/P15_PerfMon.csv', 'r')
+l = f.readline()
+l = f.readline()
+perfMonTimes = []
+anonUsers = []
+while l:
+ v = l.split(",")
+ if len(v) >= 13:
+ timeStr = v[0].replace("\"",'')
+ myTime = datetime.strptime(timeStr, "%m/%d/%Y %H:%M:%S.%f")
+ myTime.replace(tzinfo=FixedOffset(-7, 'PDT'))
+ val = float(v[12].replace("\"",''))
+ perfMonTimes.append((myTime - datetime(1970,1,1)).total_seconds())
+ anonUsers.append(val)
+ l = f.readline()
+f.close()
+
+p5 = figure()
+p5.line(perfMonTimes, anonUsers)
+
+
+
+
+
+def np_datetime(x):
+ return x
+ #return np.array(x, dtype=np.datetime64)
+
+f = open('../results/P15_LocustCustom_U11Mx2000Mn1000H0.05_results.pkl', 'rb')
+results = pickle.load(f)
+print len(results['req_errors'])
+
+times = []
+rates = []
+for r in results['throughput']:
+ times.append(r['time'])
+ rates.append(r['rate'])
+
+
+# p1 = figure(x_axis_type="datetime", title="Throughput")
+# p1.grid.grid_line_alpha=0.3
+# p1.xaxis.axis_label = 'Time'
+# p1.yaxis.axis_label = 'Transfer Rate Bytes/sec'
+
+# p1.line(np_datetime(times), rates, color='#A6CEE3', legend='Throughput Bytes/sec')
+
+#p2 = Step(results['downloads'],y=['downloads'],x='time')
+
+times2 = []
+lens = []
+for r in results['req_success']:
+ times2.append(r['time'])
+ lens.append(r['len'])
+
+p3 = figure(x_axis_type="datetime", title="request rates")
+p3.circle(np_datetime(times2), lens)
+
+
+
+times3 = []
+lens = []
+for r in results['req_success']:
+ times3.append(r['timestamp'])
+ lens.append(r['time'])
+
+p4 = figure(x_axis_type="datetime", title="request rates")
+p4.circle(np_datetime(times3), lens)
+# times2 = []
+# dls = []
+# for r in results['downloads']:
+# times2.append(r['time'])
+# dls.append(r['downloads'])
+
+# p2 = figure(x_axis_type="datetime", title="Concurrent Downloads")
+# p2.xaxis.axis_label = 'Time'
+# p2.yaxis.axis_label = 'Number of Concurrent Downloads'
+# p2.line(times2, dls)
+# p2.circle(aapl_dates, aapl, size=4, legend='close',
+# color='darkgrey', alpha=0.2)
+
+# p2.line(aapl_dates, aapl_avg, legend='avg', color='navy')
+# p2.legend.location = "top_left"
+print "Will save"
+output_file("results.html", title="stocks.py example")
+
+show(gridplot([[p3,p4]], plot_width=400, plot_height=400)) # open a browser
\ No newline at end of file
_reporting/process2.py 11(+11 -0)
diff --git a/_reporting/process2.py b/_reporting/process2.py
new file mode 100644
index 0000000..0ee8214
--- /dev/null
+++ b/_reporting/process2.py
@@ -0,0 +1,11 @@
+import numpy as np
+import pickle
+from datetime import tzinfo, timedelta, datetime
+from bokeh.layouts import gridplot
+from bokeh.plotting import figure, show, output_file
+from bokeh.sampledata.stocks import AAPL, GOOG, IBM, MSFT
+from bokeh.charts import Step
+from bokeh.models import Span
+
+f = open('../results/1496774562_results.pkl', 'rb')
+results = pickle.load(f)
_reporting/process3.py 91(+91 -0)
diff --git a/_reporting/process3.py b/_reporting/process3.py
new file mode 100644
index 0000000..2c90fe7
--- /dev/null
+++ b/_reporting/process3.py
@@ -0,0 +1,91 @@
+import numpy as np
+import pickle
+from datetime import tzinfo, timedelta, datetime
+from bokeh.layouts import gridplot
+from bokeh.plotting import figure, show, output_file
+from bokeh.sampledata.stocks import AAPL, GOOG, IBM, MSFT
+from bokeh.charts import Step
+from bokeh.models import LinearAxis, Range1d
+
+#This does overlay plot
+
+
+class FixedOffset(tzinfo):
+ """Fixed offset in minutes east from UTC."""
+
+ def __init__(self, offset, name):
+ self.__offset = timedelta(minutes = offset)
+ self.__name = name
+
+ def utcoffset(self, dt):
+ return self.__offset
+
+ def tzname(self, dt):
+ return self.__name
+
+ def dst(self, dt):
+ return ZERO
+
+f = open('../results/P15_PerfMon.csv', 'r')
+l = f.readline()
+l = f.readline()
+perfMon = {'timestamp':[],'anonUsers':[]}
+
+while l:
+ v = l.split(",")
+ if len(v) >= 13:
+ timeStr = v[0].replace("\"",'')
+ myTime = datetime.strptime(timeStr, "%m/%d/%Y %H:%M:%S.%f") + timedelta(hours=7)
+ #myTime.replace(tzinfo=FixedOffset(-7, 'PDT'))
+ val = float(v[12].replace("\"",''))
+ perfMon['timestamp'].append((myTime - datetime(1970,1,1)).total_seconds())
+ perfMon['anonUsers'].append(val)
+ l = f.readline()
+f.close()
+
+
+f = open('../results/P15_LocustCustom_queries only slow climb_U11Mx2000Mn1000H0.05_results.pkl', 'rb')
+results = pickle.load(f)
+f.close()
+print len(results['req_errors'])
+
+throughput = {'time':[], 'rate':[]}
+for r in results['throughput']:
+ throughput['time'].append(r['time'])
+ throughput['rate'].append(r['rate'])
+
+req_success = {'timestamp':[],'req_len':[],'req_duration':[]}
+for r in results['req_success']:
+ req_success['req_duration'].append(r['time'])
+ req_success['req_len'].append(r['len'])
+ req_success['timestamp'].append(r['timestamp'])
+
+
+s1 = figure(plot_width=1000, plot_height=600, y_axis_label='Request Duration')
+s1.circle(req_success['timestamp'],req_success['req_duration'], size=4, legend='Request Duration', color='darkgrey', alpha=0.2)
+
+s1.extra_y_ranges = {"User Count": Range1d(start=0, end= max(perfMon['anonUsers']))}
+s1.line(perfMon['timestamp'],perfMon['anonUsers'], legend="Anon Users", y_range_name='User Count')
+s1.add_layout(LinearAxis(y_range_name="User Count", axis_label='Anon Users'), 'left')
+
+s1.legend.click_policy="hide"
+
+# times2 = []
+# dls = []
+# for r in results['downloads']:
+# times2.append(r['time'])
+# dls.append(r['downloads'])
+
+# p2 = figure(x_axis_type="datetime", title="Concurrent Downloads")
+# p2.xaxis.axis_label = 'Time'
+# p2.yaxis.axis_label = 'Number of Concurrent Downloads'
+# p2.line(, dls)
+# p2.circle(aapl_dates, aapl, size=4, legend='close',
+# color='darkgrey', alpha=0.2)
+
+# p2.line(aapl_dates, aapl_avg, legend='avg', color='navy')
+# p2.legend.location = "top_left"
+print "Will save"
+output_file("results.html", title="Load Test Measurements")
+
+show(s1) # open a browser
\ No newline at end of file
_reporting/process4.py 187(+187 -0)
diff --git a/_reporting/process4.py b/_reporting/process4.py
new file mode 100644
index 0000000..0f349f6
--- /dev/null
+++ b/_reporting/process4.py
@@ -0,0 +1,187 @@
+import numpy as np
+import pickle
+from datetime import tzinfo, timedelta, datetime
+from bokeh.layouts import gridplot, widgetbox
+from bokeh.plotting import figure, show, output_file
+from bokeh.sampledata.stocks import AAPL, GOOG, IBM, MSFT
+from bokeh.charts import Step
+from bokeh.models import LinearAxis, Range1d, Span, Label
+from bokeh.models.widgets import Paragraph
+from bokeh.io import reset_output
+import json
+import glob
+
+
+
+
+def generateReport(jsonFileName):
+ f = open(jsonFileName,"rb")
+ data = json.load(f)
+ f.close()
+
+ pwidth = data.get('pwidth',400)
+ pheight = data.get('pheight',500)
+ perfMonFile=data.get('perfMonFile','')
+ dataFile = data.get('locustFile','')
+
+
+ perfMon = {'timestamp':[],'anonUsers':[]}
+ if perfMonFile != "":
+ f = open(perfMonFile, 'r')
+ l = f.readline()
+ l = f.readline()
+
+ while l:
+ v = l.split(",")
+ if len(v) >= 13:
+ timeStr = v[0].replace("\"",'')
+ myTime = datetime.strptime(timeStr, "%m/%d/%Y %H:%M:%S.%f") + timedelta(hours=7)
+ #myTime.replace(tzinfo=FixedOffset(-7, 'PDT'))
+ val = float(v[12].replace("\"",''))
+ perfMon['timestamp'].append((myTime - datetime(1970,1,1)).total_seconds())
+ perfMon['anonUsers'].append(val)
+ l = f.readline()
+ f.close()
+
+ throughput = {'time':[], 'rate':[], 'mean':[], 'median':[]}
+ req_success = {'timestamp':[],'req_len':[],'req_duration':[], 'mean':[], 'median':[], 'rate':[]}
+ downloads = {'time':[], 'downloads':[]}
+
+ if dataFile != "":
+ f = open(dataFile, 'rb')
+ results = pickle.load(f)
+ f.close()
+ print len(results['req_errors'])
+
+ for r in results['throughput']:
+ throughput['time'].append(r['time'])
+ throughput['rate'].append(r['rate']/1024.0)
+ if len(throughput['time'])>1:
+ throughput['time'].pop(0)
+ throughput['rate'].pop(0)
+
+ for r in results['req_success']:
+ req_success['req_duration'].append(r['time']/1000.0)
+ req_success['req_len'].append(r['len']/1024.0)
+ req_success['timestamp'].append(r['timestamp'])
+ req_success['rate'].append(req_success['req_len'][-1] / req_success['req_duration'][-1])
+
+
+ if len(results['downloads']) > 0:
+ for i in range(len(results['downloads'])):
+ r = results['downloads'][i]
+ downloads['time'].append(r['time'])
+ downloads['downloads'].append(r['downloads'])
+ if i < len(results['downloads'])-1:
+ downloads['time'].append(results['downloads'][i+1]['time'])
+ downloads['downloads'].append(r['downloads'])
+ downloads['time'].append(max(req_success['timestamp']))
+ downloads['downloads'].append(results['downloads'][-1]['downloads'])
+
+ minTime = 9999999999999
+ if len(perfMon['timestamp'] )>0:
+ minTime = min(perfMon['timestamp'])
+ if len(throughput['time'])>0:
+ minTime = min(minTime, min(throughput['time']))
+ if len(req_success['timestamp'])>0:
+ minTime = min(minTime, min(req_success['timestamp']))
+ if len(downloads['time'])>0:
+ minTime = min(minTime, min(downloads['time']))
+
+ #shift times
+ for i in range(len(perfMon['timestamp'])):
+ perfMon['timestamp'][i] -= minTime
+ for r in range(len(throughput['time'])):
+ throughput['time'][r] -= minTime
+ for r in range(len(downloads['time'])):
+ downloads['time'][r]-= minTime
+ for r in range(len(req_success['timestamp'])):
+ req_success['timestamp'][r] -= minTime
+
+
+ row1 = []
+ kwargs={'plot_width':pwidth,'plot_height':pheight}
+ if len(req_success['timestamp'])>0:
+ # s5 = figure( x_axis_label='Size (KB)', y_axis_label='Duration (sec)', **kwargs)
+ # s5.circle(req_success['req_len'],req_success['req_duration'])
+
+
+ s1 = figure( y_axis_label='Duration (sec)', title='Request Duration', x_axis_label='Test Time (s)',**kwargs)
+
+ for i in range(1, len(req_success['req_duration'])):
+ mean = np.mean(req_success['req_duration'][0:i])
+ req_success['mean'].append(mean)
+ median = np.median(req_success['req_duration'][0:i])
+ req_success['median'].append(median)
+
+ #mean = np.mean(req_success['req_duration'])
+ #median = np.median(req_success['req_duration'])
+ #meanSpan = Span(location=mean, dimension='width', line_color='green',line_dash='dashed',line_width=1, name="Mean")
+ #meanLabel = Label(x=s1.x_range.start, y=mean, text="Mean")
+ #medianSpan = Span(location=median, dimension='width', line_color='blue',line_dash='dashed',line_width=2, name="Median")
+ #s1.add_layout(meanSpan)
+ #s1.add_layout(meanLabel)
+ #s1.add_layout(medianSpan)
+
+ s1.circle(req_success['timestamp'],req_success['req_duration'], size=4, legend='Request Duration', color='darkgrey', alpha=0.2)
+ s1.line(req_success['timestamp'],req_success['mean'], legend='Mean', line_width=2, line_color="green", line_dash='dotted')
+ s1.line(req_success['timestamp'],req_success['median'], legend='Median', line_width=2, line_color="blue", line_dash='dotted')
+ if not kwargs.has_key('x_range'):
+ kwargs['x_range']=s1.x_range
+
+ s5 = figure(y_axis_label='Request Bytes/Sec', x_axis_label='Test Time(s)', **kwargs)
+ s5.circle(req_success['timestamp'], req_success['rate'], size=4, legend='Request Rate', color='darkgrey', alpha=0.2)
+
+
+ row1.append(s1)
+ row1.append(s5)
+
+ if len(perfMon['timestamp'])>0:
+ s2 = figure(y_axis_label="Users", title='Connected Anonymous Users', x_axis_label='Test Time (s)', **kwargs)
+ s2.line(perfMon['timestamp'],perfMon['anonUsers'])
+ if not kwargs.has_key('x_range'):
+ kwargs['x_range']=s2.x_range
+ row1.append(s2)
+
+ row2=[]
+ if len(downloads['time'])>0:
+ s3 = figure(y_axis_label='# Downloads', title='Concurrent Downloads', x_axis_label='Test Time (s)', **kwargs)
+ s3.line(downloads['time'],downloads['downloads'])
+ if not kwargs.has_key('x_range'):
+ kwargs['x_range']=s3.x_range
+ row2.append(s3)
+
+ if len(throughput['time'])>0:
+ for i in range(1, len(throughput['rate'])):
+ mean = np.mean(throughput['rate'][0:i])
+ throughput['mean'].append(mean)
+ median = np.median(throughput['rate'][0:i])
+ throughput['median'].append(median)
+
+ s4 = figure(y_axis_label='Download Rate (KB/s)', title='Throughput', x_axis_label='Test Time (s)',**kwargs)
+ s4.line(throughput['time'],throughput['rate'])
+ #s4.line(throughput['time'],throughput['mean'], legend='Mean', line_width=2, line_color="green", line_dash='dotted')
+ #s4.line(throughput['time'],throughput['median'], legend='Median', line_width=2, line_color="blue", line_dash='dotted')
+ if not kwargs.has_key('x_range'):
+ kwargs['x_range']=s4.x_range
+ row2.append(s4)
+
+ row3 = []
+ p = Paragraph(text=data['description'],width=pwidth,height=pheight)
+ row3.append(p)
+
+ grid = []
+ if len(row1)>0: grid.append(row1)
+ if len(row2)>0: grid.append(row2)
+ grid.append(row3)
+
+ print "Will save"
+ output_file(data["outFile"], title=data["title"])
+
+ show(gridplot(grid)) # open a browser
+ reset_output()
+
+
+jsons = glob.glob('../results/P11*.json')
+for j in jsons:
+ generateReport(j)
\ No newline at end of file
_reporting/results.html 48(+48 -0)
diff --git a/_reporting/results.html b/_reporting/results.html
new file mode 100644
index 0000000..876f1d6
--- /dev/null
+++ b/_reporting/results.html
@@ -0,0 +1,48 @@
+
+<!DOCTYPE html>
+<html lang="en">
+ <head>
+ <meta charset="utf-8">
+ <title>Load Test Measurements</title>
+
+<link rel="stylesheet" href="https://cdn.pydata.org/bokeh/release/bokeh-0.12.5.min.css" type="text/css" />
+
+<script type="text/javascript" src="https://cdn.pydata.org/bokeh/release/bokeh-0.12.5.min.js"></script>
+<script type="text/javascript">
+ Bokeh.set_log_level("info");
+</script>
+ <style>
+ html {
+ width: 100%;
+ height: 100%;
+ }
+ body {
+ width: 90%;
+ height: 100%;
+ margin: auto;
+ }
+ </style>
+ </head>
+ <body>
+
+ <div class="bk-root">
+ <div class="bk-plotdiv" id="ca07f653-2e2d-4fcd-b299-b03c2989bc76"></div>
+ </div>
+
+ <script type="text/javascript">
+ (function() {
+ var fn = function() {
+ Bokeh.safely(function() {
+ var docs_json = {"5c65556b-4365-45e6-990e-4ba95d100566":{"roots":{"references":[{"attributes":{"axis_label":"Test Time (s)","formatter":{"id":"605b74af-9928-4f43-8b01-cdb5360464dd","type":"BasicTickFormatter"},"plot":{"id":"10cf8600-1be0-403a-9b14-e2ec96f60ef3","subtype":"Figure","type":"Plot"},"ticker":{"id":"6ce1186c-3fd3-4d27-82ad-9f0999e7d305","type":"BasicTicker"}},"id":"fc0cd46c-f397-49cc-991b-a5180cb820a2","type":"LinearAxis"},{"attributes":{"line_alpha":{"value":0.1},"line_color":{"value":"#1f77b4"},"x":{"field":"x"},"y":{"field":"y"}},"id":"b38ad040-f249-43d5-9a62-2a1285adf477","type":"Line"},{"attributes":{"axis_label":"Users","formatter":{"id":"85c5f15a-287b-4723-afc6-49736d6270c8","type":"BasicTickFormatter"},"plot":{"id":"76c1b9eb-34da-4be0-ac36-98d8cfea23b2","subtype":"Figure","type":"Plot"},"ticker":{"id":"734be3bd-227f-464d-9362-ffb97b879c1e","type":"BasicTicker"}},"id":"17814308-caca-4719-93e4-17efd848cb95","type":"LinearAxis"},{"attributes":{},"id":"fc600392-1718-423e-b187-4abe1ec4bd45","type":"BasicTickFormatter"},{"attributes":{"axis_label":"Duration 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Application","version":"0.12.5"}};
+ var render_items = [{"docid":"1099709e-8e5d-4604-ba44-79e4f034069a","elementid":"f1e33520-c5e0-4841-b7b0-57d5ce9d42ac","modelid":"99e50247-faca-415b-b9c8-70a24d69c703"}];
+
+ Bokeh.embed.embed_items(docs_json, render_items);
+ });
+ };
+ if (document.readyState != "loading") fn();
+ else document.addEventListener("DOMContentLoaded", fn);
+ })();
+
+ </script>
+ </body>
+</html>
\ No newline at end of file
oregon/locustEvents.py 72(+72 -0)
diff --git a/oregon/locustEvents.py b/oregon/locustEvents.py
new file mode 100644
index 0000000..f7bc7f8
--- /dev/null
+++ b/oregon/locustEvents.py
@@ -0,0 +1,72 @@
+from locust import events
+import time
+try:
+ import cPickle as pickle
+except:
+ import pickle
+
+metrics = {
+ 'req_success':[],
+ 'throughput':[],
+ 'downloads':[],
+ 'req_errors':[]
+ }
+downloads=0
+
+reqError = events.EventHook()
+def req_error(**kw):
+ metrics['req_errors'].append({'timestamp':time.time(), 'msg':kw.get('message','')})
+ print "Req Error: %s"%kw.get("message","unknown")
+reqError += req_error
+
+def req_success(request_type, name, response_time, response_length, **kw):
+ #print "hello"
+ metrics['req_success'].append({'time':response_time, 'len':response_length, 'timestamp':time.time()})
+events.request_success += req_success
+
+downloadStart = events.EventHook()
+def on_download_start(**kw):
+ global downloads, metrics
+ size = kw.get('size',-1)
+ downloads += 1
+ print "Downlod Started: %d"%downloads
+ metrics['downloads'].append({ 'time':time.time(), 'downloads':downloads})
+downloadStart += on_download_start
+
+downloadEnd = events.EventHook()
+def on_download_end(**kw):
+ global downloads, metrics
+ size = kw.get('size',-1)
+ downloads -=1
+ print "Download Ended: %d"%downloads
+ metrics['downloads'].append({'time':time.time(), 'downloads':downloads})
+
+downloadEnd += on_download_end
+
+chunkHook = events.EventHook()
+bytesRecvd = 0
+timeSpent = 0.0
+def on_chunk(**kw):
+ global bytesRecvd, timeSpent, metrics, downloads
+ bytesRecvd += kw.get('bytesRead',0)
+ timeSpent += kw.get('seconds', 0.0)
+ rate = 0
+ if timeSpent > 0:
+ rate= bytesRecvd/timeSpent
+ metrics['throughput'].append({'time':time.time(), 'len':bytesRecvd, 'timeSpent':timeSpent, 'downloads':downloads, 'rate':rate})
+chunkHook += on_chunk
+
+def exiting():
+ # pass
+ global metrics
+ tfin = int(time.time())
+ f = open('../results/%d_results.pkl'%tfin, 'wb')
+ pickle.dump(metrics, f)
+ f.flush()
+ f.close()
+ print "Req metrics captured: %d"%len(metrics)
+
+
+
+
+events.quitting += exiting
\ No newline at end of file
oregon/locustfile_exportImage.py 107(+107 -0)
diff --git a/oregon/locustfile_exportImage.py b/oregon/locustfile_exportImage.py
new file mode 100644
index 0000000..b6ab960
--- /dev/null
+++ b/oregon/locustfile_exportImage.py
@@ -0,0 +1,107 @@
+# Purpose: Response times from exportImage REST Endpoint
+
+from locust import HttpLocust, TaskSet, task
+import random
+import json
+import locustEvents
+import time
+import webui
+import resource
+#resource.setrlimit(resource.RLIMIT_NOFILE, (999999, 999999))
+
+# Host
+service_host = "http://imagery.oregonexplorer.info"
+# Routes for ArcGIS Server
+routes = {
+ "1995": "/arcgis/rest/services/NAIP_1995/NAIP_1995_WM/ImageServer/",
+ "2000": "/arcgis/rest/services/NAIP_2000/NAIP_2000_WM/ImageServer/",
+ "2005": "/arcgis/rest/services/NAIP_2005/NAIP_2005_WM/ImageServer/",
+ "2009": "/arcgis/rest/services/NAIP_2009/NAIP_2009_WM/ImageServer/",
+ "2011": "/arcgis/rest/services/NAIP_2011/NAIP_2011_WM/ImageServer/",
+ "pictometry": "/arcgis/rest/services/Pictometry/BestofPictometry/ImageServer/",
+ "hillshade": "/arcgis/rest/services/Derived_surfaces/Hillshade_derivedsurfaces/ImageServer/"
+}
+
+class UserBehavior(TaskSet):
+
+ extent=None
+
+ def on_start(self):
+ # @Assumption
+ # All services are same extent
+ if self.extent is None:
+ print "Grab Extent"
+ with self.client.post(routes['1995'],{'f':'json'}, catch_response=True) as response:
+ try:
+ params = json.loads(response.content)
+ except:
+ locustEvents.reqError.fire(message='Bad Response Content - Definition')
+ response.failure('Could not parse json')
+ return
+
+ self.extent = params['extent']
+
+
+ def baseQuery(self, route):
+ x1 = random.uniform(self.extent['xmin'], self.extent['xmax'])
+ x2 = random.uniform(x1, self.extent['xmax'])
+ y1 = random.uniform(self.extent['ymin'], self.extent['ymax'])
+ y2 = y1 + (x2-x1) #create a square envelope
+
+ queryData = {
+ 'f': 'image',
+ 'dpi': 96,
+ 'transparent': 'true',
+ 'bbox': ','.join(map(str, [x1, y1, x2, y2])),
+ 'bboxSR': 102100,
+ 'imageSR': 102100,
+ 'size': '1160, 578',
+ 'format': 'png8'
+ }
+
+ qstr = "?"
+ val = None
+ for k,v in queryData.items():
+ if k =='geom':
+ val = json.dumps(geom)
+ else:
+ val = v
+ qstr += "%s=%s&"%(k, str(val))
+ qstr = qstr[0:-1]
+ self.client.get(route+'exportImage'+qstr, name=route)
+
+ @task(2)
+ def service1(self):
+ self.baseQuery(routes['1995'])
+
+ @task(3)
+ def service2(self):
+ self.baseQuery(routes['2000'])
+
+ @task(5)
+ def service3(self):
+ self.baseQuery(routes['2005'])
+
+ @task(10)
+ def service4(self):
+ self.baseQuery(routes['2009'])
+
+ @task(15)
+ def service5(self):
+ self.baseQuery(routes['2011'])
+
+ @task(60)
+ def service6(self):
+ self.baseQuery(routes['pictometry'])
+
+ @task(5)
+ def service7(self):
+ self.baseQuery(routes['hillshade'])
+
+class WebsiteUser(HttpLocust):
+ host = service_host
+ task_set = UserBehavior
+ # Assume most users wait about 0.3 - 5 seconds between requests
+ # when browsing imagery
+ min_wait = 0.3 * 1000
+ max_wait = 5 * 1000
oregon/locustfile_tileImage.py 110(+110 -0)
diff --git a/oregon/locustfile_tileImage.py b/oregon/locustfile_tileImage.py
new file mode 100644
index 0000000..3ca08b0
--- /dev/null
+++ b/oregon/locustfile_tileImage.py
@@ -0,0 +1,110 @@
+# Purpose: Response times from exportImage REST Endpoint
+
+from locust import HttpLocust, TaskSet, task
+import random
+import json
+import locustEvents
+import time
+import webui
+import resource
+import math
+from random import randint
+from pyproj import Proj, transform
+
+# Host
+service_host = "http://imagery.oregonexplorer.info"
+# Routes for ArcGIS Server
+routes = {
+ "1995": "/arcgis/rest/services/NAIP_1995/NAIP_1995_WM/ImageServer/",
+ "2000": "/arcgis/rest/services/NAIP_2000/NAIP_2000_WM/ImageServer/",
+ "2005": "/arcgis/rest/services/NAIP_2005/NAIP_2005_WM/ImageServer/",
+ "2009": "/arcgis/rest/services/NAIP_2009/NAIP_2009_WM/ImageServer/",
+ "2011": "/arcgis/rest/services/NAIP_2011/NAIP_2011_WM/ImageServer/",
+ "pictometry": "/arcgis/rest/services/Pictometry/BestofPictometry/ImageServer/",
+ "hillshade": "/arcgis/rest/services/Derived_surfaces/Hillshade_derivedsurfaces/ImageServer/"
+}
+
+# Convert lat, lon, and zoom to tile numbers
+def deg2num(lat_deg, lon_deg, zoom):
+ lat_rad = math.radians(lat_deg)
+ n = 2.0 ** zoom
+ xtile = int((lon_deg + 180.0) / 360.0 * n)
+ ytile = int((1.0 - math.log(math.tan(lat_rad) + (1 / math.cos(lat_rad))) / math.pi) / 2.0 * n)
+ return (xtile, ytile)
+
+class UserBehavior(TaskSet):
+
+ extent=None
+
+ def on_start(self):
+ # @Assumption
+ # All services are same extent
+ if self.extent is None:
+ with self.client.post(routes['1995'],{'f':'json'}, catch_response=True) as response:
+ try:
+ params = json.loads(response.content)
+ except:
+ locustEvents.reqError.fire(message='Bad Response Content - Definition')
+ response.failure('Could not parse json')
+ return
+
+ self.extent = params['extent']
+
+
+ def baseQuery(self, route):
+ x1 = random.uniform(self.extent['xmin'], self.extent['xmax'])
+ x2 = random.uniform(x1, self.extent['xmax'])
+ y1 = random.uniform(self.extent['ymin'], self.extent['ymax'])
+ y2 = y1 + (x2-x1) #create a square envelope
+
+ #https://gis.stackexchange.com/questions/78838/converting-projected-coordinates-to-lat-lon-using-python/78944
+ inProj = Proj(init='epsg:3857')
+ outProj = Proj(init='epsg:4326')
+ x1p,y1p = x1,y1
+ x2p,y2p = transform(inProj,outProj,x1p,y1p)
+
+ #format /tile/zoom/x/y.png
+ #http://wiki.openstreetmap.org/wiki/Slippy_map_tilenames
+
+ zoom = randint(1, 17)
+ (xtile, ytile) = deg2num(y2p, x2p, zoom)
+
+ #print route+'tile/'+ str(zoom) + "/" + str(ytile) + "/" + str(xtile)
+
+ self.client.get(route+'tile/'+ str(zoom) + "/" + str(ytile) + "/" + str(xtile), name=route)
+
+ @task(2)
+ def service1(self):
+ self.baseQuery(routes['1995'])
+
+ @task(3)
+ def service2(self):
+ self.baseQuery(routes['2000'])
+
+ @task(5)
+ def service3(self):
+ self.baseQuery(routes['2005'])
+
+ @task(10)
+ def service4(self):
+ self.baseQuery(routes['2009'])
+
+ @task(15)
+ def service5(self):
+ self.baseQuery(routes['2011'])
+
+ @task(60)
+ def service6(self):
+ self.baseQuery(routes['pictometry'])
+
+ @task(5)
+ def service7(self):
+ self.baseQuery(routes['hillshade'])
+
+class WebsiteUser(HttpLocust):
+ host = service_host
+ task_set = UserBehavior
+ # Assume most users wait about 0.1 - 2 seconds between requests
+ # when browsing imagery
+ min_wait = 0.1 * 1000
+ max_wait = 2 * 1000
oregon/webui.py 5(+5 -0)
diff --git a/oregon/webui.py b/oregon/webui.py
new file mode 100644
index 0000000..c92473d
--- /dev/null
+++ b/oregon/webui.py
@@ -0,0 +1,5 @@
+from locust import web
+
+@web.app.route("/added_page")
+def my_added_page():
+ return "Another page"
\ No newline at end of file
qsi/locustEvents.py 72(+72 -0)
diff --git a/qsi/locustEvents.py b/qsi/locustEvents.py
new file mode 100644
index 0000000..f7bc7f8
--- /dev/null
+++ b/qsi/locustEvents.py
@@ -0,0 +1,72 @@
+from locust import events
+import time
+try:
+ import cPickle as pickle
+except:
+ import pickle
+
+metrics = {
+ 'req_success':[],
+ 'throughput':[],
+ 'downloads':[],
+ 'req_errors':[]
+ }
+downloads=0
+
+reqError = events.EventHook()
+def req_error(**kw):
+ metrics['req_errors'].append({'timestamp':time.time(), 'msg':kw.get('message','')})
+ print "Req Error: %s"%kw.get("message","unknown")
+reqError += req_error
+
+def req_success(request_type, name, response_time, response_length, **kw):
+ #print "hello"
+ metrics['req_success'].append({'time':response_time, 'len':response_length, 'timestamp':time.time()})
+events.request_success += req_success
+
+downloadStart = events.EventHook()
+def on_download_start(**kw):
+ global downloads, metrics
+ size = kw.get('size',-1)
+ downloads += 1
+ print "Downlod Started: %d"%downloads
+ metrics['downloads'].append({ 'time':time.time(), 'downloads':downloads})
+downloadStart += on_download_start
+
+downloadEnd = events.EventHook()
+def on_download_end(**kw):
+ global downloads, metrics
+ size = kw.get('size',-1)
+ downloads -=1
+ print "Download Ended: %d"%downloads
+ metrics['downloads'].append({'time':time.time(), 'downloads':downloads})
+
+downloadEnd += on_download_end
+
+chunkHook = events.EventHook()
+bytesRecvd = 0
+timeSpent = 0.0
+def on_chunk(**kw):
+ global bytesRecvd, timeSpent, metrics, downloads
+ bytesRecvd += kw.get('bytesRead',0)
+ timeSpent += kw.get('seconds', 0.0)
+ rate = 0
+ if timeSpent > 0:
+ rate= bytesRecvd/timeSpent
+ metrics['throughput'].append({'time':time.time(), 'len':bytesRecvd, 'timeSpent':timeSpent, 'downloads':downloads, 'rate':rate})
+chunkHook += on_chunk
+
+def exiting():
+ # pass
+ global metrics
+ tfin = int(time.time())
+ f = open('../results/%d_results.pkl'%tfin, 'wb')
+ pickle.dump(metrics, f)
+ f.flush()
+ f.close()
+ print "Req metrics captured: %d"%len(metrics)
+
+
+
+
+events.quitting += exiting
\ No newline at end of file
qsi/locustfile_exportImage.py 107(+107 -0)
diff --git a/qsi/locustfile_exportImage.py b/qsi/locustfile_exportImage.py
new file mode 100644
index 0000000..b6ab960
--- /dev/null
+++ b/qsi/locustfile_exportImage.py
@@ -0,0 +1,107 @@
+# Purpose: Response times from exportImage REST Endpoint
+
+from locust import HttpLocust, TaskSet, task
+import random
+import json
+import locustEvents
+import time
+import webui
+import resource
+#resource.setrlimit(resource.RLIMIT_NOFILE, (999999, 999999))
+
+# Host
+service_host = "http://imagery.oregonexplorer.info"
+# Routes for ArcGIS Server
+routes = {
+ "1995": "/arcgis/rest/services/NAIP_1995/NAIP_1995_WM/ImageServer/",
+ "2000": "/arcgis/rest/services/NAIP_2000/NAIP_2000_WM/ImageServer/",
+ "2005": "/arcgis/rest/services/NAIP_2005/NAIP_2005_WM/ImageServer/",
+ "2009": "/arcgis/rest/services/NAIP_2009/NAIP_2009_WM/ImageServer/",
+ "2011": "/arcgis/rest/services/NAIP_2011/NAIP_2011_WM/ImageServer/",
+ "pictometry": "/arcgis/rest/services/Pictometry/BestofPictometry/ImageServer/",
+ "hillshade": "/arcgis/rest/services/Derived_surfaces/Hillshade_derivedsurfaces/ImageServer/"
+}
+
+class UserBehavior(TaskSet):
+
+ extent=None
+
+ def on_start(self):
+ # @Assumption
+ # All services are same extent
+ if self.extent is None:
+ print "Grab Extent"
+ with self.client.post(routes['1995'],{'f':'json'}, catch_response=True) as response:
+ try:
+ params = json.loads(response.content)
+ except:
+ locustEvents.reqError.fire(message='Bad Response Content - Definition')
+ response.failure('Could not parse json')
+ return
+
+ self.extent = params['extent']
+
+
+ def baseQuery(self, route):
+ x1 = random.uniform(self.extent['xmin'], self.extent['xmax'])
+ x2 = random.uniform(x1, self.extent['xmax'])
+ y1 = random.uniform(self.extent['ymin'], self.extent['ymax'])
+ y2 = y1 + (x2-x1) #create a square envelope
+
+ queryData = {
+ 'f': 'image',
+ 'dpi': 96,
+ 'transparent': 'true',
+ 'bbox': ','.join(map(str, [x1, y1, x2, y2])),
+ 'bboxSR': 102100,
+ 'imageSR': 102100,
+ 'size': '1160, 578',
+ 'format': 'png8'
+ }
+
+ qstr = "?"
+ val = None
+ for k,v in queryData.items():
+ if k =='geom':
+ val = json.dumps(geom)
+ else:
+ val = v
+ qstr += "%s=%s&"%(k, str(val))
+ qstr = qstr[0:-1]
+ self.client.get(route+'exportImage'+qstr, name=route)
+
+ @task(2)
+ def service1(self):
+ self.baseQuery(routes['1995'])
+
+ @task(3)
+ def service2(self):
+ self.baseQuery(routes['2000'])
+
+ @task(5)
+ def service3(self):
+ self.baseQuery(routes['2005'])
+
+ @task(10)
+ def service4(self):
+ self.baseQuery(routes['2009'])
+
+ @task(15)
+ def service5(self):
+ self.baseQuery(routes['2011'])
+
+ @task(60)
+ def service6(self):
+ self.baseQuery(routes['pictometry'])
+
+ @task(5)
+ def service7(self):
+ self.baseQuery(routes['hillshade'])
+
+class WebsiteUser(HttpLocust):
+ host = service_host
+ task_set = UserBehavior
+ # Assume most users wait about 0.3 - 5 seconds between requests
+ # when browsing imagery
+ min_wait = 0.3 * 1000
+ max_wait = 5 * 1000
qsi/locustfile_tileImage.py 110(+110 -0)
diff --git a/qsi/locustfile_tileImage.py b/qsi/locustfile_tileImage.py
new file mode 100644
index 0000000..3ca08b0
--- /dev/null
+++ b/qsi/locustfile_tileImage.py
@@ -0,0 +1,110 @@
+# Purpose: Response times from exportImage REST Endpoint
+
+from locust import HttpLocust, TaskSet, task
+import random
+import json
+import locustEvents
+import time
+import webui
+import resource
+import math
+from random import randint
+from pyproj import Proj, transform
+
+# Host
+service_host = "http://imagery.oregonexplorer.info"
+# Routes for ArcGIS Server
+routes = {
+ "1995": "/arcgis/rest/services/NAIP_1995/NAIP_1995_WM/ImageServer/",
+ "2000": "/arcgis/rest/services/NAIP_2000/NAIP_2000_WM/ImageServer/",
+ "2005": "/arcgis/rest/services/NAIP_2005/NAIP_2005_WM/ImageServer/",
+ "2009": "/arcgis/rest/services/NAIP_2009/NAIP_2009_WM/ImageServer/",
+ "2011": "/arcgis/rest/services/NAIP_2011/NAIP_2011_WM/ImageServer/",
+ "pictometry": "/arcgis/rest/services/Pictometry/BestofPictometry/ImageServer/",
+ "hillshade": "/arcgis/rest/services/Derived_surfaces/Hillshade_derivedsurfaces/ImageServer/"
+}
+
+# Convert lat, lon, and zoom to tile numbers
+def deg2num(lat_deg, lon_deg, zoom):
+ lat_rad = math.radians(lat_deg)
+ n = 2.0 ** zoom
+ xtile = int((lon_deg + 180.0) / 360.0 * n)
+ ytile = int((1.0 - math.log(math.tan(lat_rad) + (1 / math.cos(lat_rad))) / math.pi) / 2.0 * n)
+ return (xtile, ytile)
+
+class UserBehavior(TaskSet):
+
+ extent=None
+
+ def on_start(self):
+ # @Assumption
+ # All services are same extent
+ if self.extent is None:
+ with self.client.post(routes['1995'],{'f':'json'}, catch_response=True) as response:
+ try:
+ params = json.loads(response.content)
+ except:
+ locustEvents.reqError.fire(message='Bad Response Content - Definition')
+ response.failure('Could not parse json')
+ return
+
+ self.extent = params['extent']
+
+
+ def baseQuery(self, route):
+ x1 = random.uniform(self.extent['xmin'], self.extent['xmax'])
+ x2 = random.uniform(x1, self.extent['xmax'])
+ y1 = random.uniform(self.extent['ymin'], self.extent['ymax'])
+ y2 = y1 + (x2-x1) #create a square envelope
+
+ #https://gis.stackexchange.com/questions/78838/converting-projected-coordinates-to-lat-lon-using-python/78944
+ inProj = Proj(init='epsg:3857')
+ outProj = Proj(init='epsg:4326')
+ x1p,y1p = x1,y1
+ x2p,y2p = transform(inProj,outProj,x1p,y1p)
+
+ #format /tile/zoom/x/y.png
+ #http://wiki.openstreetmap.org/wiki/Slippy_map_tilenames
+
+ zoom = randint(1, 17)
+ (xtile, ytile) = deg2num(y2p, x2p, zoom)
+
+ #print route+'tile/'+ str(zoom) + "/" + str(ytile) + "/" + str(xtile)
+
+ self.client.get(route+'tile/'+ str(zoom) + "/" + str(ytile) + "/" + str(xtile), name=route)
+
+ @task(2)
+ def service1(self):
+ self.baseQuery(routes['1995'])
+
+ @task(3)
+ def service2(self):
+ self.baseQuery(routes['2000'])
+
+ @task(5)
+ def service3(self):
+ self.baseQuery(routes['2005'])
+
+ @task(10)
+ def service4(self):
+ self.baseQuery(routes['2009'])
+
+ @task(15)
+ def service5(self):
+ self.baseQuery(routes['2011'])
+
+ @task(60)
+ def service6(self):
+ self.baseQuery(routes['pictometry'])
+
+ @task(5)
+ def service7(self):
+ self.baseQuery(routes['hillshade'])
+
+class WebsiteUser(HttpLocust):
+ host = service_host
+ task_set = UserBehavior
+ # Assume most users wait about 0.1 - 2 seconds between requests
+ # when browsing imagery
+ min_wait = 0.1 * 1000
+ max_wait = 2 * 1000
qsi/webui.py 5(+5 -0)
diff --git a/qsi/webui.py b/qsi/webui.py
new file mode 100644
index 0000000..c92473d
--- /dev/null
+++ b/qsi/webui.py
@@ -0,0 +1,5 @@
+from locust import web
+
+@web.app.route("/added_page")
+def my_added_page():
+ return "Another page"
\ No newline at end of file