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workload-automation/wa/utils/serializer.py

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# Copyright 2018 ARM Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
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"""
This module contains wrappers for Python serialization modules for
common formats that make it easier to serialize/deserialize WA
Plain Old Data structures (serilizable WA classes implement
``to_pod()``/``from_pod()`` methods for converting between POD
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structures and Python class instances).
The modifications to standard serilization procedures are:
- mappings are deserialized as ``OrderedDict``\ 's rather than standard
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Python ``dict``\ 's. This allows for cleaner syntax in certain parts
of WA configuration (e.g. values to be written to files can be specified
as a dict, and they will be written in the order specified in the config).
- regular expressions are automatically encoded/decoded. This allows for
configuration values to be transparently specified as strings or regexes
in the POD config.
This module exports the "wrapped" versions of serialization libraries,
and this should be imported and used instead of importing the libraries
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directly. i.e. ::
from wa.utils.serializer import yaml
pod = yaml.load(fh)
instead of ::
import yaml
pod = yaml.load(fh)
It's also possible to use the serializer directly::
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from wa.utils import serializer
pod = serializer.load(fh)
This can also be used to ``dump()`` POD structures. By default,
``dump()`` will produce JSON, but ``fmt`` parameter may be used to
specify an alternative format (``yaml`` or ``python``). ``load()`` will
use the file plugin to guess the format, but ``fmt`` may also be used
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to specify it explicitly.
"""
# pylint: disable=unused-argument
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import os
import re
import json as _json
from collections import OrderedDict
from datetime import datetime
import dateutil.parser
import yaml as _yaml # pylint: disable=wrong-import-order
try:
from yaml import FullLoader as _yaml_loader
except ImportError:
from yaml import Loader as _yaml_loader
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# pylint: disable=redefined-builtin
from past.builtins import basestring # pylint: disable=wrong-import-order
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from wa.framework.exception import SerializerSyntaxError
from wa.utils.misc import isiterable
from wa.utils.types import regex_type, none_type, level, cpu_mask
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__all__ = [
'json',
'yaml',
'read_pod',
'dump',
'load',
'is_pod',
'POD_TYPES',
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]
POD_TYPES = [
list,
tuple,
dict,
set,
basestring,
str,
int,
float,
bool,
OrderedDict,
datetime,
regex_type,
none_type,
level,
cpu_mask,
]
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class WAJSONEncoder(_json.JSONEncoder):
def default(self, obj): # pylint: disable=method-hidden,arguments-differ
if isinstance(obj, regex_type):
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return 'REGEX:{}:{}'.format(obj.flags, obj.pattern)
elif isinstance(obj, datetime):
return 'DATET:{}'.format(obj.isoformat())
elif isinstance(obj, level):
return 'LEVEL:{}:{}'.format(obj.name, obj.value)
elif isinstance(obj, cpu_mask):
return 'CPUMASK:{}'.format(obj.mask())
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else:
return _json.JSONEncoder.default(self, obj)
class WAJSONDecoder(_json.JSONDecoder):
def decode(self, s, **kwargs): # pylint: disable=arguments-differ
d = _json.JSONDecoder.decode(self, s, **kwargs)
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def try_parse_object(v):
if isinstance(v, basestring):
if v.startswith('REGEX:'):
_, flags, pattern = v.split(':', 2)
return re.compile(pattern, int(flags or 0))
elif v.startswith('DATET:'):
_, pattern = v.split(':', 1)
return dateutil.parser.parse(pattern)
elif v.startswith('LEVEL:'):
_, name, value = v.split(':', 2)
return level(name, value)
elif v.startswith('CPUMASK:'):
_, value = v.split(':', 1)
return cpu_mask(value)
return v
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def load_objects(d):
if not hasattr(d, 'items'):
return d
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pairs = []
for k, v in d.items():
if hasattr(v, 'items'):
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pairs.append((k, load_objects(v)))
elif isiterable(v):
pairs.append((k, [try_parse_object(i) for i in v]))
else:
pairs.append((k, try_parse_object(v)))
return OrderedDict(pairs)
return load_objects(d)
class json(object):
@staticmethod
def dump(o, wfh, indent=4, *args, **kwargs):
return _json.dump(o, wfh, cls=WAJSONEncoder, indent=indent, *args, **kwargs)
@staticmethod
def dumps(o, indent=4, *args, **kwargs):
return _json.dumps(o, cls=WAJSONEncoder, indent=indent, *args, **kwargs)
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@staticmethod
def load(fh, *args, **kwargs):
try:
return _json.load(fh, cls=WAJSONDecoder, object_pairs_hook=OrderedDict, *args, **kwargs)
except ValueError as e:
raise SerializerSyntaxError(e.args[0])
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@staticmethod
def loads(s, *args, **kwargs):
try:
return _json.loads(s, cls=WAJSONDecoder, object_pairs_hook=OrderedDict, *args, **kwargs)
except ValueError as e:
raise SerializerSyntaxError(e.args[0])
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_mapping_tag = _yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG
_regex_tag = 'tag:wa:regex'
_level_tag = 'tag:wa:level'
_cpu_mask_tag = 'tag:wa:cpu_mask'
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def _wa_dict_representer(dumper, data):
return dumper.represent_mapping(_mapping_tag, iter(data.items()))
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def _wa_regex_representer(dumper, data):
text = '{}:{}'.format(data.flags, data.pattern)
return dumper.represent_scalar(_regex_tag, text)
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def _wa_level_representer(dumper, data):
text = '{}:{}'.format(data.name, data.level)
return dumper.represent_scalar(_level_tag, text)
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def _wa_cpu_mask_representer(dumper, data):
return dumper.represent_scalar(_cpu_mask_tag, data.mask())
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def _wa_dict_constructor(loader, node):
pairs = loader.construct_pairs(node)
seen_keys = set()
for k, _ in pairs:
if k in seen_keys:
raise ValueError('Duplicate entry: {}'.format(k))
seen_keys.add(k)
return OrderedDict(pairs)
def _wa_regex_constructor(loader, node):
value = loader.construct_scalar(node)
flags, pattern = value.split(':', 1)
return re.compile(pattern, int(flags or 0))
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def _wa_level_constructor(loader, node):
value = loader.construct_scalar(node)
name, value = value.split(':', 1)
return level(name, value)
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def _wa_cpu_mask_constructor(loader, node):
value = loader.construct_scalar(node)
return cpu_mask(value)
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_yaml.add_representer(OrderedDict, _wa_dict_representer)
_yaml.add_representer(regex_type, _wa_regex_representer)
_yaml.add_representer(level, _wa_level_representer)
_yaml.add_representer(cpu_mask, _wa_cpu_mask_representer)
_yaml.add_constructor(_regex_tag, _wa_regex_constructor, Loader=_yaml_loader)
_yaml.add_constructor(_level_tag, _wa_level_constructor, Loader=_yaml_loader)
_yaml.add_constructor(_cpu_mask_tag, _wa_cpu_mask_constructor, Loader=_yaml_loader)
_yaml.add_constructor(_mapping_tag, _wa_dict_constructor, Loader=_yaml_loader)
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class yaml(object):
@staticmethod
def dump(o, wfh, *args, **kwargs):
return _yaml.dump(o, wfh, *args, **kwargs)
@staticmethod
def load(fh, *args, **kwargs):
try:
return _yaml.load(fh, *args, Loader=_yaml_loader, **kwargs)
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except _yaml.YAMLError as e:
lineno = None
if hasattr(e, 'problem_mark'):
lineno = e.problem_mark.line # pylint: disable=no-member
raise SerializerSyntaxError(e.args[0] if e.args else str(e), lineno)
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loads = load
class python(object):
@staticmethod
def dump(o, wfh, *args, **kwargs):
raise NotImplementedError()
@classmethod
def load(cls, fh, *args, **kwargs):
return cls.loads(fh.read())
@staticmethod
def loads(s, *args, **kwargs):
pod = {}
try:
exec(s, pod) # pylint: disable=exec-used
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except SyntaxError as e:
raise SerializerSyntaxError(e.message, e.lineno)
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for k in list(pod.keys()): # pylint: disable=consider-iterating-dictionary
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if k.startswith('__'):
del pod[k]
return pod
def read_pod(source, fmt=None):
if isinstance(source, str):
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with open(source) as fh:
return _read_pod(fh, fmt)
elif hasattr(source, 'read') and (hasattr(source, 'name') or fmt):
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return _read_pod(source, fmt)
else:
message = 'source must be a path or an open file handle; got {}'
raise ValueError(message.format(type(source)))
def write_pod(pod, dest, fmt=None):
if isinstance(dest, str):
with open(dest, 'w') as wfh:
return _write_pod(pod, wfh, fmt)
elif hasattr(dest, 'write') and (hasattr(dest, 'name') or fmt):
return _write_pod(pod, dest, fmt)
else:
message = 'dest must be a path or an open file handle; got {}'
raise ValueError(message.format(type(dest)))
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def dump(o, wfh, fmt='json', *args, **kwargs):
serializer = {'yaml': yaml,
'json': json,
'python': python,
'py': python,
}.get(fmt)
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if serializer is None:
raise ValueError('Unknown serialization format: "{}"'.format(fmt))
serializer.dump(o, wfh, *args, **kwargs)
def load(s, fmt='json', *args, **kwargs):
return read_pod(s, fmt=fmt)
def _read_pod(fh, fmt=None):
if fmt is None:
fmt = os.path.splitext(fh.name)[1].lower().strip('.')
if fmt == '':
# Special case of no given file extension
message = ("Could not determine format " +
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"from file extension for \"{}\". "
"Please specify it or modify the fmt parameter.")
raise ValueError(message.format(getattr(fh, 'name', '<none>')))
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if fmt == 'yaml':
return yaml.load(fh)
elif fmt == 'json':
return json.load(fh)
elif fmt == 'py':
return python.load(fh)
else:
raise ValueError('Unknown format "{}": {}'.format(fmt, getattr(fh, 'name', '<none>')))
def _write_pod(pod, wfh, fmt=None):
if fmt is None:
fmt = os.path.splitext(wfh.name)[1].lower().strip('.')
if fmt == 'yaml':
return yaml.dump(pod, wfh)
elif fmt == 'json':
return json.dump(pod, wfh)
elif fmt == 'py':
raise ValueError('Serializing to Python is not supported')
else:
raise ValueError('Unknown format "{}": {}'.format(fmt, getattr(wfh, 'name', '<none>')))
def is_pod(obj):
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if type(obj) not in POD_TYPES: # pylint: disable=unidiomatic-typecheck
return False
if hasattr(obj, 'items'):
for k, v in obj.items():
if not (is_pod(k) and is_pod(v)):
return False
elif isiterable(obj):
for v in obj:
if not is_pod(v):
return False
return True
class Podable(object):
_pod_serialization_version = 0
@classmethod
def from_pod(cls, pod):
pod = cls._upgrade_pod(pod)
instance = cls()
instance._pod_version = pod.pop('_pod_version') # pylint: disable=protected-access
return instance
@classmethod
def _upgrade_pod(cls, pod):
_pod_serialization_version = pod.pop('_pod_serialization_version', None) or 0
while _pod_serialization_version < cls._pod_serialization_version:
_pod_serialization_version += 1
upgrade = getattr(cls, '_pod_upgrade_v{}'.format(_pod_serialization_version))
pod = upgrade(pod)
return pod
def __init__(self):
self._pod_version = self._pod_serialization_version
def to_pod(self):
pod = {}
pod['_pod_version'] = self._pod_version
pod['_pod_serialization_version'] = self._pod_serialization_version
return pod