def statistics(path):
results = {'path': path}
missing = []
seconds1 = []
seconds2 = []
total = errors = failures = 0
query = Comparison.all().filter('path', path)
query.filter('timestamp >', datetime.now() - timedelta(hours=24))
for comparison in query.fetch(400):
if not comparison.path or not comparison.path.startswith(path):
continue
if comparison.message and 'message' not in results:
results['message'] = comparison.message
total += 1
if comparison.message == 'error':
errors += 1
elif comparison.message:
failures += 1
if comparison.missing1:
missing.append(comparison.missing1)
if comparison.missing2:
missing.append(comparison.missing2)
if comparison.seconds1:
seconds1.append(comparison.seconds1)
if comparison.seconds2:
seconds2.append(comparison.seconds2)
results['total'] = total
if not total:
results['error_percent'] = 0.0
results['failure_percent'] = 0.0
return results
results['error_percent'] = 100.0 * errors / total
results['failure_percent'] = 100.0 * failures / total
missing.sort()
if missing:
results['missing_min'] = min(missing)
results['missing_median'] = missing[len(missing) / 2]
results['missing_max'] = max(missing)
seconds1.sort()
seconds2.sort()
results['seconds1_min'] = min(seconds1)
results['seconds2_min'] = min(seconds2)
results['seconds1_median'] = seconds1[len(seconds1) / 2]
results['seconds2_median'] = seconds2[len(seconds2) / 2]
results['seconds1_max'] = max(seconds1)
results['seconds2_max'] = max(seconds2)
return results
def statistics(path):
results = {'path': path}
missing = []
seconds1 = []
seconds2 = []
total = errors = failures = 0
query = Comparison.all().filter('path', path)
query.filter('timestamp >', datetime.now() - timedelta(hours=24))
for comparison in query.fetch(400):
if not comparison.path or not comparison.path.startswith(path):
continue
if comparison.message and 'message' not in results:
results['message'] = comparison.message
total += 1
if comparison.message == 'error':
errors += 1
elif comparison.message:
failures += 1
if comparison.missing1:
missing.append(comparison.missing1)
if comparison.missing2:
missing.append(comparison.missing2)
if comparison.seconds1:
seconds1.append(comparison.seconds1)
if comparison.seconds2:
seconds2.append(comparison.seconds2)
results['total'] = total
if not total:
results['error_percent'] = 0.0
results['failure_percent'] = 0.0
return results
results['error_percent'] = 100.0 * errors / total
results['failure_percent'] = 100.0 * failures / total
missing.sort()
if missing:
results['missing_min'] = min(missing)
results['missing_median'] = missing[len(missing) / 2]
results['missing_max'] = max(missing)
seconds1.sort()
seconds2.sort()
results['seconds1_min'] = min(seconds1)
results['seconds2_min'] = min(seconds2)
results['seconds1_median'] = seconds1[len(seconds1) / 2]
results['seconds2_median'] = seconds2[len(seconds2) / 2]
results['seconds1_max'] = max(seconds1)
results['seconds2_max'] = max(seconds2)
return results
def detail(request, path):
query = Comparison.all().filter('path', path).order('-timestamp')
comparisons_list = query.fetch(100)
return render_to_response(request, 'tests/detail.html', locals())
def detail(request, path):
query = Comparison.all().filter('path', path).order('-timestamp')
comparisons_list = query.fetch(100)
return render_to_response(request, 'tests/detail.html', locals())
