-# Copyright (c) 2018 Cisco and/or its affiliates.
+# Copyright (c) 2019 Cisco and/or its affiliates.
# Licensed 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:
xaxis = list()
for idx in data_x:
date = build_info[job_name][str(idx)][0]
- hover_str = ("date: {0}<br>"
- "value: {1:,}<br>"
- "{2}-ref: {3}<br>"
- "csit-ref: mrr-{4}-build-{5}")
+ hover_str = ("date: {date}<br>"
+ "value: {value:,}<br>"
+ "{sut}-ref: {build}<br>"
+ "csit-ref: mrr-{period}-build-{build_nr}<br>"
+ "testbed: {testbed}")
if "dpdk" in job_name:
hover_text.append(hover_str.format(
- date,
- int(in_data[idx].avg),
- "dpdk",
- build_info[job_name][str(idx)][1].
- rsplit('~', 1)[0],
- "weekly",
- idx))
+ date=date,
+ value=int(in_data[idx].avg),
+ sut="dpdk",
+ build=build_info[job_name][str(idx)][1].rsplit('~', 1)[0],
+ period="weekly",
+ build_nr=idx,
+ testbed=build_info[job_name][str(idx)][2]))
elif "vpp" in job_name:
hover_text.append(hover_str.format(
- date,
- int(in_data[idx].avg),
- "vpp",
- build_info[job_name][str(idx)][1].
- rsplit('~', 1)[0],
- "daily",
- idx))
+ date=date,
+ value=int(in_data[idx].avg),
+ sut="vpp",
+ build=build_info[job_name][str(idx)][1].rsplit('~', 1)[0],
+ period="daily",
+ build_nr=idx,
+ testbed=build_info[job_name][str(idx)][2]))
xaxis.append(datetime(int(date[0:4]), int(date[4:6]), int(date[6:8]),
int(date[9:11]), int(date[12:])))
if traces:
# Generate the chart:
- graph["layout"]["xaxis"]["title"] = \
- graph["layout"]["xaxis"]["title"].format(job=job_name)
+ graph["layout"]["title"] = \
+ "<b>{title}</b>".format(title=graph.get("title", ""))
name_file = "{0}-{1}{2}".format(spec.cpta["output-file"],
graph["output-file-name"],
spec.cpta["output-file-type"])
# Create "build ID": "date" dict:
build_info = dict()
+ tb_tbl = spec.environment.get("testbeds", None)
for job_name, job_data in builds_dict.items():
if build_info.get(job_name, None) is None:
build_info[job_name] = OrderedDict()
for build in job_data:
+ testbed = ""
+ tb_ip = input_data.metadata(job_name, build).get("testbed", "")
+ if tb_ip and tb_tbl:
+ testbed = tb_tbl.get(tb_ip, "")
build_info[job_name][build] = (
input_data.metadata(job_name, build).get("generated", ""),
- input_data.metadata(job_name, build).get("version", "")
+ input_data.metadata(job_name, build).get("version", ""),
+ testbed
)
work_queue = multiprocessing.JoinableQueue()