Add a script to plot json data files.

Change-Id: Ic016c1ba387221fe66eecc18b7af7e227e7f7232

diff --git a/moonv4/moon_interface/tests/apitests/plot_json.py b/moonv4/moon_interface/tests/apitests/plot_json.py
new file mode 100644 (file)
index 0000000..61ebb14
--- /dev/null
+++ b/moonv4/moon_interface/tests/apitests/plot_json.py
@@ -0,0 +1,163 @@
+import argparse
+import logging
+import json
+import plotly
+from plotly.graph_objs import Scatter, Layout
+import plotly.figure_factory as ff
+
+
+logger = None
+
+
+def init():
+    global logger, HOST, PORT
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--verbose", "-v", action='store_true', help="verbose mode")
+    parser.add_argument("--host",
+                        help="Set the name of the host to test (default: 172.18.0.11).",
+                        default="172.18.0.11")
+    parser.add_argument("--port", "-p",
+                        help="Set the port of the host to test (default: 38001).",
+                        default="38001")
+    parser.add_argument("--test-only", "-t", action='store_true', dest='testonly', help="Do not generate graphs")
+    parser.add_argument("--write", "-w", help="Write test data to a JSON file", default="/tmp/data.json")
+    parser.add_argument("--input", "-i", help="Get data from a JSON input file")
+    parser.add_argument("--legend", "-l", help="Set the legend (default: 'rbac,rbac+session')",
+                        default='rbac,rbac+session')
+    parser.add_argument("--distgraph", "-d",
+                        help="Show a distribution graph instead of a linear graph",
+                        action='store_true')
+    parser.add_argument("--request-per-second", help="Number of requests per seconds",
+                        type=int, dest="request_second", default=1)
+    parser.add_argument("--limit", help="Limit request to LIMIT", type=int)
+    parser.add_argument("--write-image", help="Write the graph to file IMAGE", dest="write_image")
+    parser.add_argument("--write-html", help="Write the graph to HTML file HTML", dest="write_html", default="data.html")
+    args = parser.parse_args()
+
+    FORMAT = '%(asctime)-15s %(levelname)s %(message)s'
+    logging.basicConfig(
+        format=FORMAT,
+        level=logging.INFO)
+
+    logger = logging.getLogger(__name__)
+
+    HOST = args.host
+    PORT = args.port
+    return args
+
+
+def get_delta(time_data):
+    time_delta = list()
+    time_delta_sum1 = 0
+    for key in time_data:
+        time_delta.append(time_data[key]['delta'])
+        time_delta_sum1 += time_data[key]['delta']
+    time_delta_average1 = time_delta_sum1 / len(time_data.keys())
+    return time_delta, time_delta_average1
+
+
+def write_graph(legend=None, input=None, image_file=None, html_file=None):
+    logger.info("Writing graph")
+    legends = legend.split(",")
+    result_data = []
+    for _input in input.split(","):
+        current_legend = legends.pop(0)
+        time_data2 = json.load(open(_input))
+        time_delta2, time_delta_average2 = get_delta(time_data2)
+        for key in time_data2.keys():
+            if key in time_data2:
+                time_delta2.append(time_data2[key]['delta'])
+            else:
+                time_delta2.append(None)
+        data2 = Scatter(
+            x=list(range(len(time_data2.keys()))),
+            y=time_delta2,
+            name=current_legend,
+            line=dict(
+                color='rgb(255, 192, 118)',
+                shape='spline')
+        )
+        result_data.append(data2)
+        data2_a = Scatter(
+            x=list(range(len(time_data2.keys()))),
+            y=[time_delta_average2 for x in range(len(time_data2.keys()))],
+            name=current_legend + " average",
+            line=dict(
+                color='rgb(255, 152, 33)',
+                shape='spline')
+        )
+        result_data.append(data2_a)
+
+    if image_file:
+        plotly.offline.plot(
+            {
+                "data": result_data,
+                "layout": Layout(
+                    title="Request times delta",
+                    xaxis=dict(title='Requests'),
+                    yaxis=dict(title='Request duration'),
+                )
+            },
+            filename=html_file,
+            image="svg",
+            image_filename=image_file,
+            image_height=1000,
+            image_width=1200
+        )
+    else:
+        plotly.offline.plot(
+            {
+                "data": result_data,
+                "layout": Layout(
+                    title="Request times delta",
+                    xaxis=dict(title='Requests'),
+                    yaxis=dict(title='Request duration'),
+                )
+            },
+            filename=html_file,
+        )
+    return 0
+
+
+def write_distgraph(legend=None, input=None, image_file=None, html_file=None):
+
+    logger.info("Writing graph")
+    legends = legend.split(",")
+    result_data = []
+
+    for _input in input.split(","):
+        logger.info("Analysing input {}".format(_input))
+        time_data2 = json.load(open(_input))
+        time_delta2, time_delta_average2 = get_delta(time_data2)
+        result_data.append(time_delta2)
+
+    # Create distplot with custom bin_size
+    if len(legends) < len(result_data):
+        for _cpt in range(len(result_data)-len(legends)):
+            legends.append("NC")
+    fig = ff.create_distplot(result_data, legends, bin_size=.2)
+
+    # Plot!
+    plotly.offline.plot(
+        fig,
+        image="svg",
+        image_filename=image_file,
+        image_height=1000,
+        image_width=1200,
+        filename=html_file
+    )
+    return 0
+
+
+def main():
+    args = init()
+    if args.distgraph:
+        write_distgraph(legend=args.legend, input=args.input, image_file=args.write_image,
+                        html_file=args.write_html)
+    else:
+        write_graph(legend=args.legend, input=args.input, image_file=args.write_image,
+                    html_file=args.write_html)
+
+
+if __name__ == "__main__":
+    main()