CSIT-1004: Generate csv and txt tables with trending and statistical data 30/11330/1
authorTibor Frank <tifrank@cisco.com>
Fri, 23 Mar 2018 11:10:35 +0000 (12:10 +0100)
committerTibor Frank <tifrank@cisco.com>
Fri, 23 Mar 2018 11:10:35 +0000 (12:10 +0100)
Change-Id: I50ba76c06621a9a293a5327b5b7709e4df6a4756
Signed-off-by: Tibor Frank <tifrank@cisco.com>
docs/cpta/trending/data.rst [new file with mode: 0644]
docs/cpta/trending/index.rst
resources/tools/presentation/generator_CPTA.py
resources/tools/presentation/run_cpta.sh
resources/tools/presentation/specification_CPTA.yaml
resources/tools/presentation/specification_parser.py

diff --git a/docs/cpta/trending/data.rst b/docs/cpta/trending/data.rst
new file mode 100644 (file)
index 0000000..14ada67
--- /dev/null
@@ -0,0 +1,8 @@
+Trending Data
+=============
+
+The data used to generate the trending plots is available in a CSV and
+pretty ASCII formats:
+
+    - `csv format <../_static/vpp/cpta-trending.csv>`_,
+    - `pretty ASCII format <../_static/vpp/cpta-trending.txt>`_,
index 47dc032..6014788 100644 (file)
@@ -10,3 +10,4 @@ VPP Performance Trend
     vm_vhost
     container_memif
     ipsec
+    data
index 09d2e44..8ae0662 100644 (file)
@@ -16,6 +16,8 @@
 
 import datetime
 import logging
+import csv
+import prettytable
 import plotly.offline as ploff
 import plotly.graph_objs as plgo
 import plotly.exceptions as plerr
@@ -358,6 +360,13 @@ def _generate_all_charts(spec, input_data):
     :type input_data: InputData
     """
 
+    csv_table = list()
+    # Create the header:
+    builds = spec.cpta["data"].values()[0]
+    builds_lst = [str(build) for build in range(builds[0], builds[-1] + 1)]
+    header = "Build Number:," + ",".join(builds_lst) + '\n'
+    csv_table.append(header)
+
     results = list()
     for chart in spec.cpta["plots"]:
         logging.info("  Generating the chart '{0}' ...".
@@ -372,14 +381,22 @@ def _generate_all_charts(spec, input_data):
         chart_data = dict()
         for job in data:
             for idx, build in job.items():
-                for test in build:
-                    if chart_data.get(test["name"], None) is None:
-                        chart_data[test["name"]] = OrderedDict()
+                for test_name, test in build.items():
+                    if chart_data.get(test_name, None) is None:
+                        chart_data[test_name] = OrderedDict()
                     try:
-                        chart_data[test["name"]][int(idx)] = \
+                        chart_data[test_name][int(idx)] = \
                             test["result"]["throughput"]
                     except (KeyError, TypeError):
-                        chart_data[test["name"]][int(idx)] = None
+                        chart_data[test_name][int(idx)] = None
+
+        # Add items to the csv table:
+        for tst_name, tst_data in chart_data.items():
+            tst_lst = list()
+            for build in builds_lst:
+                item = tst_data.get(int(build), '')
+                tst_lst.append(str(item) if item else '')
+            csv_table.append("{0},".format(tst_name) + ",".join(tst_lst) + '\n')
 
         for period in chart["periods"]:
             # Generate traces:
@@ -391,6 +408,7 @@ def _generate_all_charts(spec, input_data):
                     logging.warning("No data for the test '{0}'".
                                     format(test_name))
                     continue
+                test_name = test_name.split('.')[-1]
                 trace, result = _generate_trending_traces(
                     test_data,
                     period=period,
@@ -417,6 +435,24 @@ def _generate_all_charts(spec, input_data):
 
         logging.info("  Done.")
 
+    # Write the tables:
+    file_name = spec.cpta["output-file"] + "-trending"
+    with open("{0}.csv".format(file_name), 'w') as file_handler:
+        file_handler.writelines(csv_table)
+
+    txt_table = None
+    with open("{0}.csv".format(file_name), 'rb') as csv_file:
+        csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
+        for row in csv_content:
+            if txt_table is None:
+                txt_table = prettytable.PrettyTable(row)
+            else:
+                txt_table.add_row(row)
+        txt_table.align["Build Number:"] = "l"
+    with open("{0}.txt".format(file_name), "w") as txt_file:
+        txt_file.write(str(txt_table))
+
+    # Evaluate result:
     result = "PASS"
     for item in results:
         if item is None:
index 233e8df..6ba962d 100755 (executable)
@@ -1,6 +1,6 @@
 #!/bin/bash
 
-set +x
+set -x
 
 # set default values in config array
 typeset -A DIR
@@ -33,5 +33,6 @@ python pal.py \
     --logging INFO \
     --force
 
-RETURN_STATUS=$(echo $?)
+RETURN_STATUS=$?
+echo ${RETURN_STATUS}
 exit ${RETURN_STATUS}
index 61e4e0e..8b5f59e 100644 (file)
   algorithm: "cpta"
   output-file-type: ".html"
   output-file: "{DIR[STATIC,VPP]}/cpta"
+  data: "plot-performance-trending"
   plots:
 
 # L2
index 2659c29..ca9c19c 100644 (file)
@@ -389,7 +389,8 @@ class Specification(object):
                         else:
                             # defined as a range <start, end (build number)>
                             build_nr = builds.get("end", None)
-                        builds = [x for x in range(1, int(build_nr)+1)]
+                        builds = [x for x in range(builds["start"],
+                                                   int(build_nr)+1)]
                         self.configuration["data-sets"][set_name][job] = builds
 
         logging.info("Done.")

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