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493 lines
16 KiB
493 lines
16 KiB
#!/usr/bin/env python2.7
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# Copyright (c) 2013 - present Facebook, Inc.
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# All rights reserved.
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#
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# This source code is licensed under the BSD style license found in the
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# LICENSE file in the root directory of this source tree. An additional grant
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# of patent rights can be found in the PATENTS file in the same directory.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import argparse
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import csv
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import io
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import json
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import logging
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import multiprocessing
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import os
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import platform
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import re
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import shutil
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import stat
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import subprocess
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import sys
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import tempfile
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import time
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import traceback
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import zipfile
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from inferlib import analyze, config, issues, utils
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ANALYSIS_SUMMARY_OUTPUT = 'analysis_summary.txt'
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DEFAULT_BUCK_OUT = os.path.join(os.getcwd(), 'buck-out')
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DEFAULT_BUCK_OUT_GEN = os.path.join(DEFAULT_BUCK_OUT, 'gen')
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INFER_CSV_REPORT = os.path.join(config.BUCK_INFER_OUT,
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config.CSV_REPORT_FILENAME)
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INFER_JSON_REPORT = os.path.join(config.BUCK_INFER_OUT,
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config.JSON_REPORT_FILENAME)
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INFER_STATS = os.path.join(config.BUCK_INFER_OUT, config.STATS_FILENAME)
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INFER_SCRIPT = """\
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#!/usr/bin/env {0}
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import subprocess
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import sys
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cmd = ['{0}'] + {1} + ['--', 'javac'] + sys.argv[1:]
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subprocess.check_call(cmd)
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"""
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def prepare_build(args):
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"""Creates script that redirects javac calls to infer and a local buck
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configuration that tells buck to use that script.
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"""
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infer_options = [
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'--buck',
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'--analyzer', args.analyzer,
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]
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if args.debug:
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infer_options.append('--debug')
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if args.no_filtering:
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infer_options.append('--no-filtering')
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if args.debug_exceptions:
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infer_options += ['--debug-exceptions', '--no-filtering']
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# Create a temporary directory as a cache for jar files.
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infer_cache_dir = os.path.join(args.infer_out, 'cache')
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if not os.path.isdir(infer_cache_dir):
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os.mkdir(infer_cache_dir)
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infer_options.append('--infer_cache')
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infer_options.append(infer_cache_dir)
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temp_files = [infer_cache_dir]
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try:
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infer = [utils.get_cmd_in_bin_dir('infer')] + infer_options
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except subprocess.CalledProcessError as e:
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logging.error('Could not find infer')
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raise e
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# Disable the use of buckd as this scripts modifies .buckconfig.local
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logging.info('Disabling buckd: export NO_BUCKD=1')
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os.environ['NO_BUCKD'] = '1'
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# make sure INFER_ANALYSIS is set when buck is called
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logging.info('Setup Infer analysis mode for Buck: export INFER_ANALYSIS=1')
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os.environ['INFER_ANALYSIS'] = '1'
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# Create a script to be called by buck
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infer_script = None
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with tempfile.NamedTemporaryFile(delete=False,
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prefix='infer_',
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suffix='.py',
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dir='.') as infer_script:
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logging.info('Creating %s' % infer_script.name)
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infer_script.file.write(
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INFER_SCRIPT.format(sys.executable, infer).encode())
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st = os.stat(infer_script.name)
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os.chmod(infer_script.name, st.st_mode | stat.S_IEXEC)
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temp_files += [infer_script.name]
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return temp_files, infer_script.name
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def get_normalized_targets(targets):
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""" Use buck to convert a list of input targets/aliases
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into a set of the (transitive) target deps for all inputs"""
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# this expands the targets passed on the command line, then filters away
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# targets that are not Java/Android. you need to change this if you
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# care about something other than Java/Android
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TARGET_TYPES = "kind('android_library|java_library', deps('%s'))"
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BUCK_GET_JAVA_TARGETS = ['buck', 'query', TARGET_TYPES]
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buck_cmd = BUCK_GET_JAVA_TARGETS + targets
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try:
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targets = filter(
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lambda line: len(line) > 0,
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subprocess.check_output(buck_cmd).decode().strip().split('\n'))
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return targets
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except subprocess.CalledProcessError as e:
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logging.error('Error while expanding targets with {0}'.format(buck_cmd))
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raise e
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def init_stats(args, start_time):
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"""Returns dictionary with target independent statistics.
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"""
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return {
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'float': {},
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'int': {
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'cores': multiprocessing.cpu_count(),
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'time': int(time.time()),
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'start_time': int(round(start_time)),
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},
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'normal': {
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'debug': str(args.debug),
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'analyzer': args.analyzer,
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'machine': platform.machine(),
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'node': platform.node(),
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'project': os.path.basename(os.getcwd()),
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'revision': utils.vcs_revision(),
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'branch': utils.vcs_branch(),
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'system': platform.system(),
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'infer_version': utils.infer_version(),
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'infer_branch': utils.infer_branch(),
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}
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}
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def store_performances_csv(infer_out, stats):
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"""Stores the statistics about perfromances into a CSV file to be exported
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to a database"""
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perf_filename = os.path.join(infer_out, config.CSV_PERF_FILENAME)
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with open(perf_filename, 'w') as csv_file_out:
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csv_writer = csv.writer(csv_file_out)
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keys = ['infer_version', 'project', 'revision', 'files', 'lines',
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'cores', 'system', 'machine', 'node', 'total_time',
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'capture_time', 'analysis_time', 'reporting_time', 'time']
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int_stats = list(stats['int'].items())
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normal_stats = list(stats['normal'].items())
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flat_stats = dict(int_stats + normal_stats)
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values = []
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for key in keys:
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values.append(flat_stats[key])
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csv_writer.writerow(keys)
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csv_writer.writerow(values)
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csv_file_out.flush()
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def get_harness_code():
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all_harness_code = '\nGenerated harness code:\n'
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for filename in os.listdir(DEFAULT_BUCK_OUT_GEN):
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if 'InferGeneratedHarness' in filename:
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all_harness_code += '\n' + filename + ':\n'
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with open(os.path.join(DEFAULT_BUCK_OUT_GEN,
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filename), 'r') as file_in:
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all_harness_code += file_in.read()
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return all_harness_code + '\n'
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def get_basic_stats(stats):
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files_analyzed = '{0} files ({1} lines) analyzed in {2}s\n\n'.format(
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stats['int']['files'],
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stats['int']['lines'],
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stats['int']['total_time'],
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)
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phase_times = 'Capture time: {0}s\nAnalysis time: {1}s\n\n'.format(
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stats['int']['capture_time'],
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stats['int']['analysis_time'],
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)
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to_skip = {
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'files',
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'procedures',
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'lines',
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'cores',
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'time',
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'start_time',
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'capture_time',
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'analysis_time',
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'reporting_time',
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'total_time',
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'makefile_generation_time'
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}
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bugs_found = 'Errors found:\n\n'
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for key, value in sorted(stats['int'].items()):
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if key not in to_skip:
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bugs_found += ' {0:>8} {1}\n'.format(value, key)
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basic_stats_message = files_analyzed + phase_times + bugs_found + '\n'
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return basic_stats_message
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def get_buck_stats():
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trace_filename = os.path.join(
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DEFAULT_BUCK_OUT,
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'log',
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'traces',
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'build.trace'
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)
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ARGS = 'args'
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SUCCESS_STATUS = 'success_type'
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buck_stats = {}
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try:
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trace = utils.load_json_from_path(trace_filename)
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for t in trace:
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if SUCCESS_STATUS in t[ARGS]:
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status = t[ARGS][SUCCESS_STATUS]
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count = buck_stats.get(status, 0)
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buck_stats[status] = count + 1
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buck_stats_message = 'Buck build statistics:\n\n'
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for key, value in sorted(buck_stats.items()):
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buck_stats_message += ' {0:>8} {1}\n'.format(value, key)
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return buck_stats_message
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except IOError as e:
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logging.error('Caught %s: %s' % (e.__class__.__name__, str(e)))
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logging.error(traceback.format_exc())
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return ''
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class NotFoundInJar(Exception):
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pass
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def load_stats(opened_jar):
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try:
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return json.loads(opened_jar.read(INFER_STATS).decode())
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except KeyError as e:
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raise NotFoundInJar
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def load_csv_report(opened_jar):
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try:
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sio = io.StringIO(opened_jar.read(INFER_CSV_REPORT).decode())
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return list(utils.locale_csv_reader(sio))
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except KeyError as e:
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raise NotFoundInJar
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def load_json_report(opened_jar):
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try:
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return json.loads(opened_jar.read(INFER_JSON_REPORT).decode())
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except KeyError as e:
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raise NotFoundInJar
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def collect_results(args, start_time):
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"""Walks through buck-gen, collects results for the different buck targets
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and stores them in in args.infer_out/results.csv.
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"""
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buck_stats = get_buck_stats()
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logging.info(buck_stats)
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with open(os.path.join(args.infer_out, ANALYSIS_SUMMARY_OUTPUT), 'w') as f:
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f.write(buck_stats)
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all_csv_rows = set()
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all_json_rows = set()
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headers = []
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stats = init_stats(args, start_time)
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accumulation_whitelist = list(map(re.compile, [
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'^cores$',
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'^time$',
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'^start_time$',
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'.*_pc',
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]))
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expected_analyzer = stats['normal']['analyzer']
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expected_version = stats['normal']['infer_version']
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for root, _, files in os.walk(DEFAULT_BUCK_OUT_GEN):
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for f in [f for f in files if f.endswith('.jar')]:
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path = os.path.join(root, f)
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try:
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with zipfile.ZipFile(path) as jar:
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# Accumulate integers and float values
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target_stats = load_stats(jar)
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found_analyzer = target_stats['normal']['analyzer']
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found_version = target_stats['normal']['infer_version']
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if (found_analyzer != expected_analyzer
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or found_version != expected_version):
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continue
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else:
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for type_k in ['int', 'float']:
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items = target_stats.get(type_k, {}).items()
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for key, value in items:
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if not any(map(lambda r: r.match(key),
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accumulation_whitelist)):
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old_value = stats[type_k].get(key, 0)
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stats[type_k][key] = old_value + value
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csv_rows = load_csv_report(jar)
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if len(csv_rows) > 0:
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headers.append(csv_rows[0])
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for row in csv_rows[1:]:
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all_csv_rows.add(tuple(row))
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json_rows = load_json_report(jar)
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for row in json_rows:
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all_json_rows.add(json.dumps(row))
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# Override normals
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stats['normal'].update(target_stats.get('normal', {}))
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except NotFoundInJar:
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pass
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except zipfile.BadZipfile:
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logging.warn('Bad zip file %s', path)
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csv_report = os.path.join(args.infer_out, config.CSV_REPORT_FILENAME)
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json_report = os.path.join(args.infer_out, config.JSON_REPORT_FILENAME)
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bugs_out = os.path.join(args.infer_out, config.BUGS_FILENAME)
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if len(headers) == 0:
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with open(csv_report, 'w'):
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pass
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logging.info('No reports found')
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return
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elif len(headers) > 1:
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if any(map(lambda x: x != headers[0], headers)):
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raise Exception('Inconsistent reports found')
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# Convert all float values to integer values
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for key, value in stats.get('float', {}).items():
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stats['int'][key] = int(round(value))
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# Delete the float entries before exporting the results
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del(stats['float'])
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with open(csv_report, 'w') as report:
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writer = csv.writer(report)
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all_csv_rows = [list(row) for row in all_csv_rows]
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writer.writerows([headers[0]] + all_csv_rows)
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report.flush()
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with open(json_report, 'w') as report:
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json_string = '['
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json_string += ','.join(all_json_rows)
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json_string += ']'
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report.write(json_string)
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report.flush()
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print('\n')
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xml_out = None
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if args.pmd_xml:
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xml_out = os.path.join(args.infer_out,
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config.PMD_XML_FILENAME)
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issues.print_and_save_errors(json_report, bugs_out, xml_out)
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stats['int']['total_time'] = int(round(utils.elapsed_time(start_time)))
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store_performances_csv(args.infer_out, stats)
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stats_filename = os.path.join(args.infer_out, config.STATS_FILENAME)
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utils.dump_json_to_path(stats, stats_filename)
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basic_stats = get_basic_stats(stats)
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if args.print_harness:
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harness_code = get_harness_code()
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basic_stats += harness_code
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logging.info(basic_stats)
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with open(os.path.join(args.infer_out, ANALYSIS_SUMMARY_OUTPUT), 'a') as f:
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f.write(basic_stats)
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def cleanup(temp_files):
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"""Removes the generated .buckconfig.local and the temporary infer script.
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"""
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for file in temp_files:
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try:
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logging.info('Removing %s' % file)
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if os.path.isdir(file):
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shutil.rmtree(file)
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else:
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os.unlink(file)
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except IOError:
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logging.error('Could not remove %s' % file)
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parser = argparse.ArgumentParser()
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parser.add_argument('--build-report', metavar='PATH', type=str)
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parser.add_argument('--deep', action='store_true')
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parser.add_argument('--keep-going', action='store_true')
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parser.add_argument('--load-limit', '-L')
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parser.add_argument('--no-cache', action='store_true')
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parser.add_argument('--profile', action='store_true')
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parser.add_argument('--shallow', action='store_true')
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parser.add_argument('--num-threads', '-j', metavar='N')
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parser.add_argument('--verbose', '-v', metavar='N', type=int)
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parser.add_argument('targets', nargs='*', metavar='target',
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help='Build targets to analyze')
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class UnsuportedBuckCommand(Exception):
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pass
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def parse_buck_command(args):
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build_keyword = 'build'
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if build_keyword in args and len(args[args.index(build_keyword):]) > 1:
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next_index = args.index(build_keyword) + 1
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buck_args = args[next_index:]
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parsed_args = parser.parse_args(buck_args)
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base_cmd_without_targets = [p for p in buck_args
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if p not in parsed_args.targets]
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base_cmd = ['buck', build_keyword] + base_cmd_without_targets
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return base_cmd, parsed_args
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else:
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raise UnsuportedBuckCommand(args)
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class Wrapper:
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def __init__(self, infer_args, buck_cmd):
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self.timer = utils.Timer(logging.info)
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self.infer_args = infer_args
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self.timer.start('Computing library targets')
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base_cmd, buck_args = parse_buck_command(buck_cmd)
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self.normalized_targets = get_normalized_targets(
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buck_args.targets)
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self.buck_cmd = base_cmd + self.normalized_targets
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self.timer.stop('%d targets computed', len(self.normalized_targets))
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def run(self):
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temp_files = []
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try:
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start_time = time.time()
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logging.info('Starting the analysis')
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if not os.path.isdir(self.infer_args.infer_out):
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os.mkdir(self.infer_args.infer_out)
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self.timer.start('Preparing build...')
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temp_files2, infer_script = prepare_build(self.infer_args)
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temp_files += temp_files2
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self.timer.stop('Build prepared')
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if len(self.normalized_targets) == 0:
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logging.info('Nothing to analyze')
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else:
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self.timer.start('Running buck...')
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javac_config = ['--config', 'tools.javac=' + infer_script]
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buck_cmd = self.buck_cmd + javac_config
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subprocess.check_call(buck_cmd)
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self.timer.stop('Buck finished')
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self.timer.start('Collecting results...')
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collect_results(self.infer_args, start_time)
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self.timer.stop('Done')
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return os.EX_OK
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except KeyboardInterrupt as e:
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self.timer.stop('Exiting')
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sys.exit(0)
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finally:
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cleanup(temp_files)
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