Add run_failure_rate argument to specify values to use in graph

This This commit adds a new flag to the run_failure_rate command in
subunit2sql-graph. It expects a comma separated list on the cli and it
will only graph the bar for runs which have a metadata value that is in
the list provided. This is useful if you only want to view a subset of
values grouped under a key.

Change-Id: I70b7d34bd027ee2a6f7e75fc0cef5a39ddcda3ef
This commit is contained in:
Matthew Treinish 2017-03-06 15:15:33 -05:00
parent 5a517f688d
commit f2a3d35e5f
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3 changed files with 30 additions and 0 deletions

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@ -158,6 +158,28 @@ for a given run_metadata key to make the graph useful. To workaround this you
specify a list of values that will be used to filter the output so that only
matches of that key will be in the output.
Run Failure Rate Grouped By Run Metadata
----------------------------------------
This graph generates a bar chart to show the failure rates for all runs for
with a run_metadata value for a user provided run_metadata key.
For example, running something like::
subunit2sql-graph --title "Failure Ratess by Job Name" --database-connection mysqll://test:test@localhost/subunit2sql -o test.png run_failure_rate build_name --filter_list gate-tempest-dsvm-neutron-full-ssh,gate-tempest-dsvm-full-ubuntu-xenial,gate-tempest-dsvm-full-ubuntu-trusty,gate-tempest-dsvm-py35-ubuntu-xenial
will generate a graph like:
.. image:: graph-run_failure_rate.png
:width: 115%
It's also worth noting the --filter_list argument used in the command above.
In some cases, especially larger data sets, there are too many distinct values
for a given run_metadata key to make the graph useful. To workaround this you
specify a list of values that will be used to filter the output so that only
matches of that key will be in the output.
subunit2sql-graph plugin interface
==================================

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@ -26,10 +26,16 @@ matplotlib.style.use('ggplot')
def set_cli_opts(parser):
parser.add_argument('metadata_key',
help="The run_metadata key to group the runs by")
parser.add_argument('--filter_list', '-f',
help='A comma seperated list of values to use')
def generate_series():
session = api.get_session()
if CONF.command.filter_list:
filter_list = CONF.command.filter_list.split(',')
else:
filter_list = []
if CONF.start_date:
start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d')
else:
@ -45,6 +51,8 @@ def generate_series():
perc_data = {}
for key in run_status:
if key not in filter_list:
continue
if run_status[key].get('pass'):
pass_num = float(run_status[key]['pass'])
else: