blob: fdadc73046cd9cef3c6bb713be595b21153c19b4 [file] [log] [blame]
# Copyright (c) 2012 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Independent general functions useful for most other code."""
import logging
import re
import time
import yaml
from subprocess import Popen, PIPE
class Error(Exception):
"""Generic fatal error."""
pass
class Obj(object):
"""Generic wrapper allowing dot-notation dict access."""
def __init__(self, **field_dict):
self.__dict__.update(field_dict)
def __repr__(self):
return repr(self.__dict__)
def Shell(cmd):
"""Run cmd in a shell, return Obj containing stdout, stderr, and status.
The cmd stdout and stderr output is debug-logged.
Args:
cmd: Full shell command line as a string, which can contain
redirection (popes, etc).
"""
process = Popen(cmd, stdout=PIPE, stderr=PIPE, shell=True)
stdout, stderr = process.communicate()
logging.debug('running %s' % repr(cmd) +
(', stdout: %s' % repr(stdout.strip()) if stdout else '') +
(', stderr: %s' % repr(stderr.strip()) if stderr else ''))
status = process.poll()
return Obj(stdout=stdout, stderr=stderr, status=status, success=(status == 0))
def CompactStr(data):
"""Converts data to string with compressed white space.
Args:
data: Single string or a list/tuple of strings.
Returns:
If data is a string, compress all contained contiguous spaces to
single spaces. If data is a list or tuple, space-join and then
treat like string input.
"""
if isinstance(data, list) or isinstance(data, tuple):
data = ' '.join(x for x in data if x != '')
return re.sub('\s+', ' ', data).strip()
def SetupLogging(level=logging.WARNING, log_file_name=None):
"""Configure logging level, format, and target file/stream.
Args:
level: The logging.{DEBUG,INFO,etc} level of verbosity to show.
log_file_name: File for appending log data.
"""
logging.basicConfig(
format='%(levelname)-8s %(asctime)-8s %(message)s',
datefmt='%H:%M:%S',
level=level,
**({'filename': log_file_name} if log_file_name else {}))
logging.Formatter.converter = time.gmtime
logging.info(time.strftime('%Y.%m.%d %Z', time.gmtime()))
def YamlWrite(structured_data):
"""Wrap yaml.dump to make calling convention consistent."""
return yaml.dump(structured_data, default_flow_style=False)
def YamlRead(serialized_data):
"""Wrap yaml.load to make calling convention consistent."""
return yaml.safe_load(serialized_data)
def ParseKeyValueData(pattern, data):
"""Converts structured text into a {(key, value)} dict.
Args:
pattern: A regex pattern to decode key/value pairs
data: The text to be parsed.
Returns:
A { key: value, ... } dict.
Raises:
ValueError: When the input is invalid.
"""
parsed_list = {}
for line in data.splitlines():
matched = re.match(pattern, line.strip())
if not matched:
raise ValueError('Invalid data: %s' % line)
(name, value) = (matched.group(1), matched.group(2))
if name in parsed_list:
raise ValueError('Duplicate key: %s' % name)
parsed_list[name] = value
return parsed_list