opendev/subunit2sql
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Add run_failure_rate argument to specify values to use in graph

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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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22
doc/source/graph.rst
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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 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. 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 subunit2sql-graph plugin interface
================================== ==================================

8
subunit2sql/analysis/run_failure_rate.py
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@ -26,10 +26,16 @@ matplotlib.style.use('ggplot')
def set_cli_opts(parser): def set_cli_opts(parser):
parser.add_argument('metadata_key', parser.add_argument('metadata_key',
help="The run_metadata key to group the runs by") 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(): def generate_series():
session = api.get_session() session = api.get_session()
if CONF.command.filter_list:
filter_list = CONF.command.filter_list.split(',')
else:
filter_list = []
if CONF.start_date: if CONF.start_date:
start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d') start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d')
else: else:
@ -45,6 +51,8 @@ def generate_series():
perc_data = {} perc_data = {}
for key in run_status: for key in run_status:
if key not in filter_list:
continue
if run_status[key].get('pass'): if run_status[key].get('pass'):
pass_num = float(run_status[key]['pass']) pass_num = float(run_status[key]['pass'])
else: else: