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104 lines
3.5 KiB
Python
104 lines
3.5 KiB
Python
# -*- coding:utf-8 -*-
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#
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# Copyright 2015 Hewlett-Packard Development Company, L.P.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import collections
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from bandit.core import constants
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class Metrics(object):
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"""Bandit metric gathering.
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This class is a singleton used to gather and process metrics collected when
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processing a code base with bandit. Metric collection is stateful, that
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is, an active metric block will be set when requested and all subsequent
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operations will effect that metric block until it is replaced by a setting
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a new one.
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"""
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def __init__(self):
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self.data = dict()
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self.data['_totals'] = {'loc': 0, 'nosec': 0}
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# initialize 0 totals for criteria and rank; this will be reset later
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for rank in constants.RANKING:
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for criteria in constants.CRITERIA:
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self.data['_totals']['{0}.{1}'.format(criteria[0], rank)] = 0
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def begin(self, fname):
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"""Begin a new metric block.
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This starts a new metric collection name "fname" and makes is active.
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:param fname: the metrics unique name, normally the file name.
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"""
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self.data[fname] = {'loc': 0, 'nosec': 0}
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self.current = self.data[fname]
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def note_nosec(self, num=1):
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"""Note a "nosec" commnet.
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Increment the currently active metrics nosec count.
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:param num: number of nosecs seen, defaults to 1
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"""
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self.current['nosec'] += num
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def count_locs(self, lines):
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"""Count lines of code.
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We count lines that are not empty and are not comments. The result is
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added to our currently active metrics loc count (normally this is 0).
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:param lines: lines in the file to process
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"""
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def proc(line):
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tmp = line.strip()
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return bool(tmp and not tmp.startswith(b'#'))
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self.current['loc'] += sum(proc(line) for line in lines)
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def count_issues(self, scores):
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self.current.update(self._get_issue_counts(scores))
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def aggregate(self):
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"""Do final aggregation of metrics."""
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c = collections.Counter()
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for fname in self.data:
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c.update(self.data[fname])
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self.data['_totals'] = dict(c)
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@staticmethod
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def _get_issue_counts(scores):
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"""Get issue counts aggregated by confidence/severity rankings.
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:param scores: list of scores to aggregate / count
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:return: aggregated total (count) of issues identified
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"""
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issue_counts = {}
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for score in scores:
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for (criteria, default) in constants.CRITERIA:
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for i, rank in enumerate(constants.RANKING):
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label = '{0}.{1}'.format(criteria, rank)
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if label not in issue_counts:
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issue_counts[label] = 0
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count = (
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score[criteria][i] /
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constants.RANKING_VALUES[rank]
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)
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issue_counts[label] += count
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return issue_counts
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