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Simplify average code and account for when any of the values are 0.

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This commit is contained in:
Simon Quigley 2020-06-19 16:07:51 -05:00
parent 0792e9d9f1
commit d950c9f8c7
1 changed files with 8 additions and 9 deletions
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17
modules/jenkins.py
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@ -157,15 +157,14 @@ class JenkinsModule:
_data["total"].append(row[3])
# Get human-readable averages and throw it in a dict
_nonpassing = sum(_data["nonpassing"]) / len(_data["nonpassing"])
_nonpassing = format(_nonpassing, ".1f")
_failing = sum(_data["failing"]) / len(_data["failing"])
_failing = format(_failing, ".1f")
_total = sum(_data["total"]) / len(_data["total"])
_total = format(_total, ".1f")
average = {"nonpassing": _nonpassing,
"failing": _failing,
"total": _total}
average = {}
for datatype in ("nonpassing", "failing", "total"):
try:
num = sum(_data[datatype]) / len(_data[datatype])
num = format(num, ".1f")
except ZeroDivisionError:
num = 0
average[datatype] = num
# Assign data to the dict Jinja2 is actually going to use
jenkins = {"nonpassing": zip(_data["date"], _data["nonpassing"]),