def test_bandit_report_metric_with_one_file():
report = BanditReport()
report.add_file('filename', 100, 10)
new_metric = BASE_DICT.copy()
new_metric['loc'] = 100
new_metric['nosec'] = 10
expected = {"_totals": new_metric, 'filename': new_metric}
assert report.metrics == expected
def test_bandit_report_add_hit_to_no_existed_file():
report = BanditReport()
with pytest.raises(KeyError):
report.add_hit({
"issue_confidence": 'LOW',
"issue_severity": 'MEDIUM',
"filename": 'filename'
})
def test_bandit_report_metric_same_file_different_nosec():
report = BanditReport()
report.add_file('filename', 100, 10)
report.add_file('filename', 100, 5)
report.use_mix_data = False
with pytest.raises(ValueError):
report.add_file('filename', 100, 5)
new_metric = BASE_DICT.copy()
new_metric['loc'] = 100
new_metric['nosec'] = 10
expected = {
"_totals": new_metric,
'filename': new_metric,
}
assert report.metrics == expected
def test_bandit_report_metric_with_two_files_and_hits():
report = BanditReport()
report.add_file('filename1', 100, 10)
report.add_hit({
"issue_confidence": 'LOW',
"issue_severity": 'MEDIUM',
"filename": 'filename1'
})
new_metric1 = BASE_DICT.copy()
new_metric1['loc'] = 100
new_metric1['nosec'] = 10
new_metric1["SEVERITY.MEDIUM"] = 1
new_metric1["CONFIDENCE.LOW"] = 1
report.add_file('filename2', 50, 5)
report.add_hit({
"issue_confidence": 'HIGH',
"issue_severity": 'MEDIUM',
"filename": 'filename2'
})
new_metric2 = BASE_DICT.copy()
new_metric2['loc'] = 50
new_metric2['nosec'] = 5
new_metric2["SEVERITY.MEDIUM"] = 1
new_metric2["CONFIDENCE.HIGH"] = 1
total = BASE_DICT.copy()
total['loc'] = 150
total['nosec'] = 15
total["SEVERITY.MEDIUM"] = 2
total["CONFIDENCE.LOW"] = 1
total["CONFIDENCE.HIGH"] = 1
expected = {
"_totals": total,
'filename1': new_metric1,
'filename2': new_metric2,
}
assert report.metrics == expected
def test_bandit_report_same_hit():
report = BanditReport()
report.add_file('filename', 100, 10)
report.add_hit({
"issue_confidence": 'LOW',
"issue_severity": 'MEDIUM',
"filename": 'filename'
})
report.add_hit({
"issue_confidence": 'LOW',
"issue_severity": 'MEDIUM',
"filename": 'filename'
})
new_metric = BASE_DICT.copy()
new_metric['loc'] = 100
new_metric['nosec'] = 10
new_metric["SEVERITY.MEDIUM"] = 1
new_metric["CONFIDENCE.LOW"] = 1
expected = {
"_totals": new_metric,
'filename': new_metric,
}
assert report.metrics == expected
def test_bandit_report_metric_with_two_files():
report = BanditReport()
report.add_file('filename1', 100, 10)
new_metric1 = BASE_DICT.copy()
new_metric1['loc'] = 100
new_metric1['nosec'] = 10
report.add_file('filename2', 50, 5)
new_metric2 = BASE_DICT.copy()
new_metric2['loc'] = 50
new_metric2['nosec'] = 5
total = BASE_DICT.copy()
total['loc'] = 150
total['nosec'] = 15
expected = {
"_totals": total,
'filename1': new_metric1,
'filename2': new_metric2,
}
assert report.metrics == expected
def test_bandit_report_metric_emtpy():
report = BanditReport()
assert report.metrics == {"_totals": BASE_DICT}