/usr/lib/python3/dist-packages/tango/utils.py is in python3-tango 9.2.2-1build1.
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# This file is part of PyTango (http://pytango.rtfd.io)
#
# Copyright 2006-2012 CELLS / ALBA Synchrotron, Bellaterra, Spain
# Copyright 2013-2014 European Synchrotron Radiation Facility, Grenoble, France
#
# Distributed under the terms of the GNU Lesser General Public License,
# either version 3 of the License, or (at your option) any later version.
# See LICENSE.txt for more info.
# ------------------------------------------------------------------------------
"""
This is an internal PyTango module.
"""
from __future__ import with_statement
from __future__ import print_function
import os
import sys
import six
import types
import numbers
import collections
from ._tango import StdStringVector, StdDoubleVector, \
DbData, DbDevInfos, DbDevExportInfos, CmdArgType, AttrDataFormat, \
EventData, AttrConfEventData, DataReadyEventData, DevFailed, constants, \
DevState, CommunicationFailed, PipeEventData, DevIntrChangeEventData
from . import _tango
from .constants import AlrmValueNotSpec, StatusNotSet, TgLibVers
from .release import Release
__all__ = [
"requires_pytango", "requires_tango",
"is_pure_str", "is_seq", "is_non_str_seq", "is_integer",
"is_number", "is_scalar_type", "is_array_type", "is_numerical_type",
"is_int_type", "is_float_type", "is_bool_type", "is_binary_type",
"is_str_type", "obj_2_str", "seqStr_2_obj",
"scalar_to_array_type",
"document_method", "document_static_method", "document_enum",
"CaselessList", "CaselessDict", "EventCallBack", "get_home",
"from_version_str_to_hex_str", "from_version_str_to_int",
"seq_2_StdStringVector", "StdStringVector_2_seq",
"dir2", "TO_TANGO_TYPE"]
__docformat__ = "restructuredtext"
# Types
_scalar_int_types = (
CmdArgType.DevShort,
CmdArgType.DevUShort,
CmdArgType.DevInt,
CmdArgType.DevLong,
CmdArgType.DevULong,
CmdArgType.DevLong64,
CmdArgType.DevULong64,)
_scalar_float_types = (
CmdArgType.DevFloat,
CmdArgType.DevDouble,)
_scalar_numerical_types = (
_scalar_int_types +
_scalar_float_types)
_scalar_str_types = (
CmdArgType.DevString,
CmdArgType.ConstDevString,)
_scalar_bool_types = (
CmdArgType.DevBoolean,)
_scalar_types = (
_scalar_numerical_types +
_scalar_str_types +
_scalar_bool_types +
(CmdArgType.DevEncoded,
CmdArgType.DevUChar,))
_array_int_types = (
CmdArgType.DevVarShortArray,
CmdArgType.DevVarUShortArray,
CmdArgType.DevVarLongArray,
CmdArgType.DevVarULongArray,
CmdArgType.DevVarLong64Array,
CmdArgType.DevVarULong64Array)
_array_float_types = (
CmdArgType.DevVarFloatArray,
CmdArgType.DevVarDoubleArray)
_array_numerical_types = (
_array_int_types +
_array_float_types)
_array_str_types = (
CmdArgType.DevVarStringArray,)
_array_bool_types = (
CmdArgType.DevVarBooleanArray,)
_array_types = (
_array_numerical_types +
_array_bool_types +
_array_str_types +
(CmdArgType.DevVarCharArray,
CmdArgType.DevVarDoubleStringArray,
CmdArgType.DevVarLongStringArray,))
_binary_types = (
CmdArgType.DevEncoded,
CmdArgType.DevVarCharArray,)
def __build_to_tango_type():
ret = {
int: CmdArgType.DevLong64,
str: CmdArgType.DevString,
bool: CmdArgType.DevBoolean,
bytearray: CmdArgType.DevEncoded,
float: CmdArgType.DevDouble,
chr: CmdArgType.DevUChar,
None: CmdArgType.DevVoid,
'int': CmdArgType.DevLong64,
'int16': CmdArgType.DevShort,
'int32': CmdArgType.DevLong,
'int64': CmdArgType.DevLong64,
'uint': CmdArgType.DevULong64,
'uint16': CmdArgType.DevUShort,
'uint32': CmdArgType.DevULong,
'uint64': CmdArgType.DevULong64,
'str': CmdArgType.DevString,
'string': CmdArgType.DevString,
'text': CmdArgType.DevString,
'bool': CmdArgType.DevBoolean,
'boolean': CmdArgType.DevBoolean,
'bytes': CmdArgType.DevEncoded,
'bytearray': CmdArgType.DevEncoded,
'float': CmdArgType.DevDouble,
'float32': CmdArgType.DevFloat,
'float64': CmdArgType.DevDouble,
'double': CmdArgType.DevDouble,
'byte': CmdArgType.DevUChar,
'chr': CmdArgType.DevUChar,
'char': CmdArgType.DevUChar,
'None': CmdArgType.DevVoid,
'state': CmdArgType.DevState,
'enum': CmdArgType.DevEnum,
'blob': CmdArgType.DevPipeBlob,
}
try:
ret[long] = ret[int]
except NameError:
pass
for key in dir(CmdArgType):
if key.startswith("Dev"):
value = getattr(CmdArgType, key)
ret[key] = ret[value] = value
if constants.NUMPY_SUPPORT:
import numpy
FROM_TANGO_TO_NUMPY_TYPE = {
CmdArgType.DevBoolean: numpy.bool8,
CmdArgType.DevUChar: numpy.ubyte,
CmdArgType.DevShort: numpy.short,
CmdArgType.DevUShort: numpy.ushort,
CmdArgType.DevLong: numpy.int32,
CmdArgType.DevULong: numpy.uint32,
CmdArgType.DevLong64: numpy.int64,
CmdArgType.DevULong64: numpy.uint64,
CmdArgType.DevString: numpy.str,
CmdArgType.DevDouble: numpy.float64,
CmdArgType.DevFloat: numpy.float32,
}
for key, value in FROM_TANGO_TO_NUMPY_TYPE.items():
ret[value] = key
return ret
TO_TANGO_TYPE = __build_to_tango_type()
_scalar_to_array_type = {
CmdArgType.DevBoolean: CmdArgType.DevVarBooleanArray,
CmdArgType.DevUChar: CmdArgType.DevVarCharArray,
CmdArgType.DevShort: CmdArgType.DevVarShortArray,
CmdArgType.DevUShort: CmdArgType.DevVarUShortArray,
CmdArgType.DevInt: CmdArgType.DevVarLongArray,
CmdArgType.DevLong: CmdArgType.DevVarLongArray,
CmdArgType.DevULong: CmdArgType.DevVarULongArray,
CmdArgType.DevLong64: CmdArgType.DevVarLong64Array,
CmdArgType.DevULong64: CmdArgType.DevVarULong64Array,
CmdArgType.DevFloat: CmdArgType.DevVarFloatArray,
CmdArgType.DevDouble: CmdArgType.DevVarDoubleArray,
CmdArgType.DevString: CmdArgType.DevVarStringArray,
CmdArgType.ConstDevString: CmdArgType.DevVarStringArray,
}
# add derived scalar types to scalar to array map
for k, v in TO_TANGO_TYPE.items():
if v in _scalar_to_array_type:
_scalar_to_array_type[k] = _scalar_to_array_type[v]
__NO_STR_VALUE = AlrmValueNotSpec, StatusNotSet
__device_classes = None
bool_ = lambda value_str: value_str.lower() == "true"
def __import(name):
__import__(name)
return sys.modules[name]
def __requires(package_name, min_version=None, conflicts=(),
software_name="Software"):
from distutils.version import LooseVersion
package_name_l = package_name.lower()
if package_name_l == 'pytango':
curr_version = LooseVersion(Release.version)
elif package_name_l == 'tango':
curr_version = LooseVersion(TgLibVers)
else:
try:
package = __import(package_name)
curr_version = LooseVersion(package.__version__)
except ImportError:
msg = "Could not find package {0} required by {1}".format(
package_name, software_name)
raise Exception(msg)
except:
msg = "Error importing package {0} required by {1}".format(
package_name, software_name)
raise Exception(msg)
if min_version is not None:
min_version = LooseVersion(min_version)
if min_version > curr_version:
msg = "{0} requires {1} {2} but {3} installed".format(
software_name, package_name, min_version, curr_version)
raise Exception(msg)
conflicts = map(LooseVersion, conflicts)
if curr_version in conflicts:
msg = "{0} cannot run with {1} {2}".format(
software_name, package_name, curr_version)
raise Exception(msg)
return True
def requires_pytango(min_version=None, conflicts=(),
software_name="Software"):
"""
Determines if the required PyTango version for the running
software is present. If not an exception is thrown.
Example usage::
from tango import requires_pytango
requires_pytango('7.1', conflicts=['8.1.1'], software='MyDS')
:param min_version:
minimum PyTango version [default: None, meaning no minimum
required]. If a string is given, it must be in the valid
version number format
(see: :class:`~distutils.version.LooseVersion`)
:type min_version:
None, str, :class:`~distutils.version.LooseVersion`
:param conflics:
a sequence of PyTango versions which conflict with the
software using it
:type conflics:
seq<str|LooseVersion>
:param software_name:
software name using tango. Used in the exception message
:type software_name: str
:raises Exception: if the required PyTango version is not met
New in PyTango 8.1.4
"""
return __requires("pytango", min_version=min_version,
conflicts=conflicts, software_name=software_name)
def requires_tango(min_version=None, conflicts=(), software_name="Software"):
"""
Determines if the required Tango version for the running
software is present. If not an exception is thrown.
Example usage::
from tango import requires_tango
requires_tango('7.1', conflicts=['8.1.1'], software='MyDS')
:param min_version:
minimum Tango version [default: None, meaning no minimum
required]. If a string is given, it must be in the valid
version number format
(see: :class:`~distutils.version.LooseVersion`)
:type min_version:
None, str, :class:`~distutils.version.LooseVersion`
:param conflics:
a sequence of Tango versions which conflict with the
software using it
:type conflics:
seq<str|LooseVersion>
:param software_name:
software name using Tango. Used in the exception message
:type software_name: str
:raises Exception: if the required Tango version is not met
New in PyTango 8.1.4
"""
return __requires("Tango", min_version=min_version,
conflicts=conflicts, software_name=software_name)
def get_tango_device_classes():
global __device_classes
if __device_classes is None:
__device_classes = [_tango.DeviceImpl]
i = 2
while True:
dc = "Device_{0}Impl".format(i)
try:
__device_classes.append(getattr(_tango, dc))
i = i + 1
except AttributeError:
break
return __device_classes
def get_latest_device_class():
return get_tango_device_classes()[-1]
try:
__str_klasses = basestring,
except NameError:
__str_klasses = str,
__int_klasses = int,
__number_klasses = numbers.Number,
__seq_klasses = collections.Sequence, bytearray, StdStringVector
__use_unicode = False
try:
unicode
__use_unicode = True
__str_klasses = tuple(list(__str_klasses) + [unicode])
except NameError:
pass
__use_long = False
try:
long
__use_long = True
__int_klasses = tuple(list(__int_klasses) + [long])
except NameError:
pass
if constants.NUMPY_SUPPORT:
import numpy
__int_klasses = tuple(list(__int_klasses) + [numpy.integer])
__number_klasses = tuple(list(__number_klasses) + [numpy.number])
__seq_klasses = tuple(list(__seq_klasses) + [numpy.ndarray])
__str_klasses = tuple(__str_klasses)
__int_klasses = tuple(__int_klasses)
__number_klasses = tuple(__number_klasses)
__seq_klasses = tuple(__seq_klasses)
def __get_tango_type(obj):
if is_non_str_seq(obj):
tg_type, tg_format = get_tango_type(obj[0])
tg_format = AttrDataFormat(int(tg_format) + 1)
return tg_type, tg_format
elif is_pure_str(obj):
r = CmdArgType.DevString
elif isinstance(obj, DevState):
r = CmdArgType.DevState
elif isinstance(obj, bool):
r = CmdArgType.DevBoolean
elif isinstance(obj, __int_klasses):
r = CmdArgType.DevLong64
elif isinstance(obj, __number_klasses):
r = CmdArgType.DevDouble
return r, AttrDataFormat.SCALAR
def __get_tango_type_numpy_support(obj):
try:
ndim, dtype = obj.ndim, str(obj.dtype)
if ndim > 2:
raise TypeError('cannot translate numpy array with {0} '
'dimensions to tango type'.format(obj.ndim))
return TO_TANGO_TYPE[dtype], AttrDataFormat(ndim)
except AttributeError:
return __get_tango_type(obj)
def get_tango_type(obj):
if constants.NUMPY_SUPPORT:
return __get_tango_type_numpy_support(obj)
return __get_tango_type(obj)
def is_pure_str(obj):
"""
Tells if the given object is a python string.
In python 2.x this means any subclass of basestring.
In python 3.x this means any subclass of str.
:param obj: the object to be inspected
:type obj: :py:obj:`object`
:return: True is the given obj is a string or False otherwise
:rtype: :py:obj:`bool`
"""
return isinstance(obj, __str_klasses)
def is_seq(obj):
"""
Tells if the given object is a python sequence.
It will return True for any collections.Sequence (list, tuple,
str, bytes, unicode), bytearray and (if numpy is enabled)
numpy.ndarray
:param obj: the object to be inspected
:type obj: :py:obj:`object`
:return: True is the given obj is a sequence or False otherwise
:rtype: :py:obj:`bool`
"""
return isinstance(obj, __seq_klasses)
def is_non_str_seq(obj):
"""
Tells if the given object is a python sequence (excluding string
sequences).
It will return True for any collections.Sequence (list, tuple (and
bytes in python3)), bytearray and (if numpy is enabled)
numpy.ndarray
:param obj: the object to be inspected
:type obj: :py:obj:`object`
:return: True is the given obj is a sequence or False otherwise
:rtype: :py:obj:`bool`
"""
return is_seq(obj) and not is_pure_str(obj)
def is_integer(obj):
"""
Tells if the given object is a python integer.
It will return True for any int, long (in python 2) and
(if numpy is enabled) numpy.integer
:param obj: the object to be inspected
:type obj: :py:obj:`object`
:return:
True is the given obj is a python integer or False otherwise
:rtype: :py:obj:`bool`
"""
return isinstance(obj, __int_klasses)
def is_number(obj):
"""
Tells if the given object is a python number.
It will return True for any numbers.Number and (if numpy is
enabled) numpy.number
:param obj: the object to be inspected
:type obj: :py:obj:`object`
:return:
True is the given obj is a python number or False otherwise
:rtype: :py:obj:`bool`
"""
return isinstance(obj, __number_klasses)
def is_scalar(tg_type):
"""Tells if the given tango type is a scalar
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:return: True if the given tango type is a scalar or False otherwise
:rtype: :py:obj:`bool`
"""
global _scalar_types
return tg_type in _scalar_types
is_scalar_type = is_scalar
def is_array(tg_type):
"""Tells if the given tango type is an array type
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:return: True if the given tango type is an array type or False otherwise
:rtype: :py:obj:`bool`
"""
global _array_types
return tg_type in _array_types
is_array_type = is_array
def is_numerical(tg_type, inc_array=False):
"""Tells if the given tango type is numerical
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:param inc_array: (optional, default is False) determines if include array
in the list of checked types
:type inc_array: :py:obj:`bool`
:return: True if the given tango type is a numerical or False otherwise
:rtype: :py:obj:`bool`
"""
global _scalar_numerical_types, _array_numerical_types
if tg_type in _scalar_numerical_types:
return True
if not inc_array:
return False
return tg_type in _array_numerical_types
is_numerical_type = is_numerical
def is_int(tg_type, inc_array=False):
"""Tells if the given tango type is integer
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:param inc_array: (optional, default is False) determines if include array
in the list of checked types
:type inc_array: :py:obj:`bool`
:return: True if the given tango type is integer or False otherwise
:rtype: :py:obj:`bool`
"""
global _scalar_int_types, _array_int_types
if tg_type in _scalar_int_types:
return True
if not inc_array:
return False
return tg_type in _array_int_types
is_int_type = is_int
def is_float(tg_type, inc_array=False):
"""Tells if the given tango type is float
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:param inc_array: (optional, default is False) determines if include array
in the list of checked types
:type inc_array: :py:obj:`bool`
:return: True if the given tango type is float or False otherwise
:rtype: :py:obj:`bool`
"""
global _scalar_float_types, _array_float_types
if tg_type in _scalar_float_types:
return True
if not inc_array:
return False
return tg_type in _array_float_types
is_float_type = is_float
def is_bool(tg_type, inc_array=False):
"""Tells if the given tango type is boolean
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:param inc_array: (optional, default is False) determines if include array
in the list of checked types
:type inc_array: :py:obj:`bool`
:return: True if the given tango type is boolean or False otherwise
:rtype: :py:obj:`bool`
"""
global _scalar_bool_types, _array_bool_types
if tg_type in _scalar_bool_types:
return True
if not inc_array:
return False
return tg_type in _array_bool_types
is_bool_type = is_bool
def is_str(tg_type, inc_array=False):
"""Tells if the given tango type is string
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:param inc_array: (optional, default is False) determines if include array
in the list of checked types
:type inc_array: :py:obj:`bool`
:return: True if the given tango type is string or False otherwise
:rtype: :py:obj:`bool`
"""
global _scalar_str_types, _array_str_types
if tg_type in _scalar_str_types:
return True
if not inc_array:
return False
return tg_type in _array_str_types
is_str_type = is_str
def is_binary(tg_type, inc_array=False):
"""Tells if the given tango type is binary
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:param inc_array: (optional, default is False) determines if include array
in the list of checked types
:type inc_array: :py:obj:`bool`
:return: True if the given tango type is binary or False otherwise
:rtype: :py:obj:`bool`
"""
global _binary_types
return tg_type in _binary_types
is_binary_type = is_binary
def seq_2_StdStringVector(seq, vec=None):
"""Converts a python sequence<str> object to a :class:`tango.StdStringVector`
:param seq: the sequence of strings
:type seq: sequence<:py:obj:`str`>
:param vec: (optional, default is None) an :class:`tango.StdStringVector`
to be filled. If None is given, a new :class:`tango.StdStringVector`
is created
:return: a :class:`tango.StdStringVector` filled with the same contents as seq
:rtype: :class:`tango.StdStringVector`
"""
if vec is None:
if isinstance(seq, StdStringVector):
return seq
vec = StdStringVector()
if not isinstance(vec, StdStringVector):
raise TypeError('vec must be a tango.StdStringVector')
for e in seq:
vec.append(str(e))
return vec
def StdStringVector_2_seq(vec, seq=None):
"""Converts a :class:`tango.StdStringVector` to a python sequence<str>
:param seq: the :class:`tango.StdStringVector`
:type seq: :class:`tango.StdStringVector`
:param vec: (optional, default is None) a python sequence to be filled.
If None is given, a new list is created
:return: a python sequence filled with the same contents as seq
:rtype: sequence<str>
"""
if seq is None:
seq = []
if not isinstance(vec, StdStringVector):
raise TypeError('vec must be a tango.StdStringVector')
for e in vec:
seq.append(str(e))
return seq
def seq_2_StdDoubleVector(seq, vec=None):
"""Converts a python sequence<float> object to a :class:`tango.StdDoubleVector`
:param seq: the sequence of floats
:type seq: sequence<:py:obj:`float`>
:param vec: (optional, default is None) an :class:`tango.StdDoubleVector`
to be filled. If None is given, a new :class:`tango.StdDoubleVector`
is created
:return: a :class:`tango.StdDoubleVector` filled with the same contents as seq
:rtype: :class:`tango.StdDoubleVector`
"""
if vec is None:
if isinstance(seq, StdDoubleVector):
return seq
vec = StdDoubleVector()
if not isinstance(vec, StdDoubleVector):
raise TypeError('vec must be a tango.StdDoubleVector')
for e in seq:
vec.append(str(e))
return vec
def StdDoubleVector_2_seq(vec, seq=None):
"""Converts a :class:`tango.StdDoubleVector` to a python sequence<float>
:param seq: the :class:`tango.StdDoubleVector`
:type seq: :class:`tango.StdDoubleVector`
:param vec: (optional, default is None) a python sequence to be filled.
If None is given, a new list is created
:return: a python sequence filled with the same contents as seq
:rtype: sequence<float>
"""
if seq is None:
seq = []
if not isinstance(vec, StdDoubleVector):
raise TypeError('vec must be a tango.StdDoubleVector')
for e in vec:
seq.append(float(e))
return seq
def seq_2_DbDevInfos(seq, vec=None):
"""Converts a python sequence<DbDevInfo> object to a :class:`tango.DbDevInfos`
:param seq: the sequence of DbDevInfo
:type seq: sequence<DbDevInfo>
:param vec: (optional, default is None) an :class:`tango.DbDevInfos`
to be filled. If None is given, a new :class:`tango.DbDevInfos`
is created
:return: a :class:`tango.DbDevInfos` filled with the same contents as seq
:rtype: :class:`tango.DbDevInfos`
"""
if vec is None:
if isinstance(seq, DbDevInfos):
return seq
vec = DbDevInfos()
if not isinstance(vec, DbDevInfos):
raise TypeError('vec must be a tango.DbDevInfos')
for e in seq:
vec.append(e)
return vec
def seq_2_DbDevExportInfos(seq, vec=None):
"""Converts a python sequence<DbDevExportInfo> object to a :class:`tango.DbDevExportInfos`
:param seq: the sequence of DbDevExportInfo
:type seq: sequence<DbDevExportInfo>
:param vec: (optional, default is None) an :class:`tango.DbDevExportInfos`
to be filled. If None is given, a new :class:`tango.DbDevExportInfos`
is created
:return: a :class:`tango.DbDevExportInfos` filled with the same contents as seq
:rtype: :class:`tango.DbDevExportInfos`
"""
if vec is None:
if isinstance(seq, DbDevExportInfos):
return seq
vec = DbDevExportInfos()
if not isinstance(vec, DbDevExportInfos):
raise TypeError('vec must be a tango.DbDevExportInfos')
for e in seq:
vec.append(e)
return vec
def seq_2_DbData(seq, vec=None):
"""Converts a python sequence<DbDatum> object to a :class:`tango.DbData`
:param seq: the sequence of DbDatum
:type seq: sequence<DbDatum>
:param vec: (optional, default is None) an :class:`tango.DbData`
to be filled. If None is given, a new :class:`tango.DbData`
is created
:return: a :class:`tango.DbData` filled with the same contents as seq
:rtype: :class:`tango.DbData`
"""
if vec is None:
if isinstance(seq, DbData):
return seq
vec = DbData()
if not isinstance(vec, DbData):
raise TypeError('vec must be a tango.DbData')
for e in seq:
vec.append(e)
return vec
def DbData_2_dict(db_data, d=None):
if d is None:
d = {}
if not isinstance(db_data, DbData):
raise TypeError(
'db_data must be a tango.DbData. A %s found instead' %
type(db_data))
for db_datum in db_data:
d[db_datum.name] = db_datum.value_string
return d
def seqStr_2_obj(seq, tg_type, tg_format=None):
"""Translates a sequence<str> to a sequence of objects of give type and format
:param seq: the sequence
:type seq: sequence<str>
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:param tg_format: (optional, default is None, meaning SCALAR) tango format
:type tg_format: :class:`tango.AttrDataFormat`
:return: a new sequence
"""
if tg_format:
return _seqStr_2_obj_from_type_format(seq, tg_type, tg_format)
return _seqStr_2_obj_from_type(seq, tg_type)
def _seqStr_2_obj_from_type(seq, tg_type):
if is_pure_str(seq):
seq = seq,
# Scalar cases
global _scalar_int_types
if tg_type in _scalar_int_types:
return int(seq[0])
global _scalar_float_types
if tg_type in _scalar_float_types:
return float(seq[0])
global _scalar_str_types
if tg_type in _scalar_str_types:
return seq[0]
if tg_type == CmdArgType.DevBoolean:
return seq[0].lower() == 'true'
# sequence cases
if tg_type in (CmdArgType.DevVarCharArray, CmdArgType.DevVarStringArray):
return seq
global _array_int_types
if tg_type in _array_int_types:
argout = []
for x in seq:
argout.append(int(x))
return argout
global _array_float_types
if tg_type in _array_float_types:
argout = []
for x in seq:
argout.append(float(x))
return argout
if tg_type == CmdArgType.DevVarBooleanArray:
argout = []
for x in seq:
argout.append(x.lower() == 'true')
return argout
return []
def _seqStr_2_obj_from_type_format(seq, tg_type, tg_format):
if tg_format == AttrDataFormat.SCALAR:
return _seqStr_2_obj_from_type(tg_type, seq)
elif tg_format == AttrDataFormat.SPECTRUM:
return _seqStr_2_obj_from_type(_scalar_to_array_type[tg_type], seq)
elif tg_format == AttrDataFormat.IMAGE:
if tg_type == CmdArgType.DevString:
return seq
global _scalar_int_types
if tg_type in _scalar_int_types:
argout = []
for x in seq:
tmp = []
for y in x:
tmp.append(int(y))
argout.append(tmp)
return argout
global _scalar_float_types
if tg_type in _scalar_float_types:
argout = []
for x in seq:
tmp = []
for y in x:
tmp.append(float(y))
argout.append(tmp)
return argout
# UNKNOWN_FORMAT
return _seqStr_2_obj_from_type(tg_type, seq)
def scalar_to_array_type(tg_type):
"""
Gives the array tango type corresponding to the given tango
scalar type. Example: giving DevLong will return DevVarLongArray.
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:return: the array tango type for the given scalar tango type
:rtype: :class:`tango.CmdArgType`
:raises ValueError: in case the given dtype is not a tango scalar type
"""
try:
return _scalar_to_array_type[tg_type]
except KeyError:
raise ValueError("Invalid tango scalar type: {0}".format(tg_type))
def str_2_obj(obj_str, tg_type=None):
"""Converts a string into an object according to the given tango type
:param obj_str: the string to be converted
:type obj_str: :py:obj:`str`
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:return: an object calculated from the given string
:rtype: :py:obj:`object`
"""
if tg_type is None:
return obj_str
f = str
if is_scalar_type(tg_type):
if is_numerical_type(tg_type):
if obj_str in __NO_STR_VALUE:
return None
if is_int_type(tg_type):
f = int
elif is_float_type(tg_type):
f = float
elif is_bool_type(tg_type):
f = bool_
return f(obj_str)
def obj_2_str(obj, tg_type=None):
"""Converts a python object into a string according to the given tango type
:param obj: the object to be converted
:type obj: :py:obj:`object`
:param tg_type: tango type
:type tg_type: :class:`tango.CmdArgType`
:return: a string representation of the given object
:rtype: :py:obj:`str`
"""
if tg_type is None:
return obj
if tg_type in _scalar_types:
# scalar cases
if is_pure_str(obj):
return obj
elif is_non_str_seq(obj):
if not len(obj):
return ""
obj = obj[0]
return str(obj)
# sequence cases
if obj is None:
return ''
return '\n'.join([str(i) for i in obj])
def __get_meth_func(klass, method_name):
meth = getattr(klass, method_name)
func = meth
if hasattr(meth, '__func__'):
func = meth.__func__
elif hasattr(meth, 'im_func'):
func = meth.im_func
return meth, func
def copy_doc(klass, fnname):
"""Copies documentation string of a method from the super class into the
rewritten method of the given class"""
base_meth, base_func = __get_meth_func(klass.__base__, fnname)
meth, func = __get_meth_func(klass, fnname)
func.__doc__ = base_func.__doc__
def document_method(klass, method_name, d, add=True):
meth, func = __get_meth_func(klass, method_name)
if add:
cpp_doc = meth.__doc__
if cpp_doc:
func.__doc__ = "%s\n%s" % (d, cpp_doc)
return
func.__doc__ = d
if func.__name__ != method_name:
try:
func.__name__ = method_name
except AttributeError:
pass
def document_static_method(klass, method_name, d, add=True):
meth, func = __get_meth_func(klass, method_name)
if add:
cpp_doc = meth.__doc__
if cpp_doc:
meth.__doc__ = "%s\n%s" % (d, cpp_doc)
return
meth.__doc__ = d
def document_enum(klass, enum_name, desc, append=True):
# derived = type(base)('derived', (base,), {'__doc__': 'desc'})
# Get the original enum type
base = getattr(klass, enum_name)
# Prepare the new docstring
if append and base.__doc__ is not None:
desc = base.__doc__ + "\n" + desc
# Create a new type, derived from the original. Only difference
# is the docstring.
derived = type(base)(enum_name, (base,), {'__doc__': desc})
# Replace the original enum type with the new one
setattr(klass, enum_name, derived)
class CaselessList(list):
"""A case insensitive lists that has some caseless methods. Only allows
strings as list members. Most methods that would normally return a list,
return a CaselessList. (Except list() and lowercopy())
Sequence Methods implemented are :
__contains__, remove, count, index, append, extend, insert,
__getitem__, __setitem__, __getslice__, __setslice__
__add__, __radd__, __iadd__, __mul__, __rmul__
Plus Extra methods:
findentry, copy , lowercopy, list
Inherited methods :
__imul__, __len__, __iter__, pop, reverse, sort
"""
def __init__(self, inlist=[]):
list.__init__(self)
for entry in inlist:
if not isinstance(entry, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\" which is \"%s\"' %
(entry, type(entry)))
self.append(entry)
def findentry(self, item):
"""A caseless way of checking if an item is in the list or not.
It returns None or the entry."""
if not isinstance(item, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(item))
for entry in self:
if item.lower() == entry.lower():
return entry
return None
def __contains__(self, item):
"""A caseless way of checking if a list has a member in it or not."""
for entry in self:
if item.lower() == entry.lower():
return True
return False
def remove(self, item):
"""Remove the first occurence of an item, the caseless way."""
for entry in self:
if item.lower() == entry.lower():
list.remove(self, entry)
return
raise ValueError(': list.remove(x): x not in list')
def copy(self):
"""Return a CaselessList copy of self."""
return CaselessList(self)
def list(self):
"""Return a normal list version of self."""
return list(self)
def lowercopy(self):
"""Return a lowercase (list) copy of self."""
return [entry.lower() for entry in self]
def append(self, item):
"""Adds an item to the list and checks it's a string."""
if not isinstance(item, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(item))
list.append(self, item)
def extend(self, item):
"""Extend the list with another list. Each member of the list must be
a string."""
if not isinstance(item, list):
raise TypeError(
'You can only extend lists with lists. '
'You supplied \"%s\"' % type(item))
for entry in item:
if not isinstance(entry, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(entry))
list.append(self, entry)
def count(self, item):
"""Counts references to 'item' in a caseless manner.
If item is not a string it will always return 0."""
if not isinstance(item, str):
return 0
count = 0
for entry in self:
if item.lower() == entry.lower():
count += 1
return count
def index(self, item, minindex=0, maxindex=None):
"""Provide an index of first occurence of item in the list. (or raise
a ValueError if item not present)
If item is not a string, will raise a TypeError.
minindex and maxindex are also optional arguments
s.index(x[, i[, j]]) return smallest k such that s[k] == x and i <= k < j
"""
if maxindex is None:
maxindex = len(self)
minindex = max(0, minindex) - 1
maxindex = min(len(self), maxindex)
if not isinstance(item, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(item))
index = minindex
while index < maxindex:
index += 1
if item.lower() == self[index].lower():
return index
raise ValueError(': list.index(x): x not in list')
def insert(self, i, x):
"""s.insert(i, x) same as s[i:i] = [x]
Raises TypeError if x isn't a string."""
if not isinstance(x, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(x))
list.insert(self, i, x)
def __setitem__(self, index, value):
"""For setting values in the list.
index must be an integer or (extended) slice object. (__setslice__ used
for simple slices)
If index is an integer then value must be a string.
If index is a slice object then value must be a list of strings - with
the same length as the slice object requires.
"""
if isinstance(index, int):
if not isinstance(value, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(value))
list.__setitem__(self, index, value)
elif isinstance(index, slice):
if not hasattr(value, '__len__'):
raise TypeError(
'Value given to set slice is not a sequence object.')
for entry in value:
if not isinstance(entry, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(entry))
list.__setitem__(self, index, value)
else:
raise TypeError('Indexes must be integers or slice objects.')
def __setslice__(self, i, j, sequence):
"""Called to implement assignment to self[i:j]."""
for entry in sequence:
if not isinstance(entry, str):
raise TypeError(
'Members of this object must be strings. '
'You supplied \"%s\"' % type(entry))
list.__setslice__(self, i, j, sequence)
def __getslice__(self, i, j):
"""Called to implement evaluation of self[i:j].
Although the manual says this method is deprecated - if I don't define
it the list one is called.
(Which returns a list - this returns a CaselessList)"""
return CaselessList(list.__getslice__(self, i, j))
def __getitem__(self, index):
"""For fetching indexes.
If a slice is fetched then the list returned is a CaselessList."""
if not isinstance(index, slice):
return list.__getitem__(self, index)
else:
return CaselessList(list.__getitem__(self, index))
def __add__(self, item):
"""To add a list, and return a CaselessList.
Every element of item must be a string."""
return CaselessList(list.__add__(self, item))
def __radd__(self, item):
"""To add a list, and return a CaselessList.
Every element of item must be a string."""
return CaselessList(list.__add__(self, item))
def __iadd__(self, item):
"""To add a list in place."""
for entry in item:
self.append(entry)
def __mul__(self, item):
"""To multiply itself, and return a CaselessList.
Every element of item must be a string."""
return CaselessList(list.__mul__(self, item))
def __rmul__(self, item):
"""To multiply itself, and return a CaselessList.
Every element of item must be a string."""
return CaselessList(list.__rmul__(self, item))
class CaselessDict(dict):
def __init__(self, other=None):
if other:
# Doesn't do keyword args
if isinstance(other, dict):
for k, v in other.items():
dict.__setitem__(self, k.lower(), v)
else:
for k, v in other:
dict.__setitem__(self, k.lower(), v)
def __getitem__(self, key):
return dict.__getitem__(self, key.lower())
def __setitem__(self, key, value):
dict.__setitem__(self, key.lower(), value)
def __contains__(self, key):
return dict.__contains__(self, key.lower())
def __delitem__(self, k):
dict.__delitem__(self, k.lower())
def has_key(self, key):
return key.lower() in self
def get(self, key, def_val=None):
return dict.get(self, key.lower(), def_val)
def setdefault(self, key, def_val=None):
return dict.setdefault(self, key.lower(), def_val)
def update(self, other):
for k, v in other.items():
dict.__setitem__(self, k.lower(), v)
def fromkeys(self, iterable, value=None):
d = CaselessDict()
for k in iterable:
dict.__setitem__(d, k.lower(), value)
return d
def pop(self, key, def_val=None):
return dict.pop(self, key.lower(), def_val)
def keys(self):
return CaselessList(dict.keys(self))
__DEFAULT_FACT_IOR_FILE = "/tmp/rdifact.ior"
__BASE_LINE = "notifd"
__END_NOTIFD_LINE = "/DEVICE/notifd:"
__NOTIFD_FACTORY_PREFIX = "notifd/factory/"
def notifd2db(notifd_ior_file=__DEFAULT_FACT_IOR_FILE,
files=None, host=None, out=sys.stdout):
ior_string = ""
with open(notifd_ior_file) as ior_file:
ior_string = ior_file.read()
if files is None:
return _notifd2db_real_db(ior_string, host=host, out=out)
else:
return _notifd2db_file_db(ior_string, files, out=out)
def _notifd2db_file_db(ior_string, files, out=sys.stdout):
raise RuntimeError("Not implemented yet")
print("going to export notification service event factory to "
"device server property file(s) ...", file=out)
for f in files:
with open(f, "w"):
pass
return
def _notifd2db_real_db(ior_string, host=None, out=sys.stdout):
from . import Database
print("going to export notification service event factory to "
"Tango database ...", file=out)
num_retries = 3
while num_retries > 0:
try:
db = Database()
db.set_timeout_millis(10000)
num_retries = 0
except DevFailed as df:
num_retries -= 1
if num_retries == 0:
print("Can't create Tango database object", file=out)
print(str(df), file=out)
return
print("Can't create Tango database object, retrying....", file=out)
if host is None:
import socket
host_name = socket.getfqdn()
global __NOTIFD_FACTORY_PREFIX
notifd_factory_name = __NOTIFD_FACTORY_PREFIX + host_name
args = notifd_factory_name, ior_string, host_name, str(os.getpid()), "1"
num_retries = 3
while num_retries > 0:
try:
db.command_inout("DbExportEvent", args)
print("Successfully exported notification service event "
"factory for host", host_name, "to Tango database !",
file=out)
break
except CommunicationFailed as cf:
if len(cf.errors) >= 2:
if cf.errors[1].reason == "API_DeviceTimedOut":
if num_retries > 0:
num_retries -= 1
else:
num_retries = 0
else:
num_retries = 0
except Exception:
num_retries = 0
if num_retries == 0:
print("Failed to export notification service event factory "
"to TANGO database", file=out)
class EventCallback(object):
"""
Useful event callback for test purposes
Usage::
>>> dev = tango.DeviceProxy(dev_name)
>>> cb = tango.utils.EventCallback()
>>> id = dev.subscribe_event("state", tango.EventType.CHANGE_EVENT, cb, [])
2011-04-06 15:33:18.910474 sys/tg_test/1 STATE CHANGE [ATTR_VALID] ON
Allowed format keys are:
- date (event timestamp)
- reception_date (event reception timestamp)
- type (event type)
- dev_name (device name)
- name (attribute name)
- value (event value)
New in PyTango 7.1.4
"""
def __init__(self, format="{date} {dev_name} {name} {type} {value}",
fd=sys.stdout, max_buf=100):
self._msg = format
self._fd = fd
self._evts = []
self._max_buf = max_buf
def get_events(self):
"""Returns the list of events received by this callback
:return: the list of events received by this callback
:rtype: sequence<obj>
"""
return self._evts
def push_event(self, evt):
"""Internal usage only"""
try:
self._push_event(evt)
except Exception as e:
print("Unexpected error in callback for %s: %s"
% (str(evt), str(e)), file=self._fd)
def _push_event(self, evt):
"""Internal usage only"""
self._append(evt)
import datetime
now = datetime.datetime.now()
try:
date = self._get_date(evt)
except:
date = now
try:
reception_date = evt.reception_date.todatetime()
except:
reception_date = now
try:
evt_type = evt.event.upper()
except:
evt_type = "<UNKNOWN>"
try:
dev_name = evt.device.dev_name().upper()
except:
dev_name = "<UNKNOWN>"
try:
attr_name = evt.attr_name.split("/")[-1].upper()
except:
attr_name = "<UNKNOWN>"
try:
value = self._get_value(evt)
except Exception as e:
value = "Unexpected exception in getting event value: %s" % str(e)
d = {"date": date, "reception_date": reception_date,
"type": evt_type, "dev_name": dev_name, "name": attr_name,
"value": value}
print(self._msg.format(**d), file=self._fd)
def _append(self, evt):
"""Internal usage only"""
evts = self._evts
if len(evts) == self._max_buf:
evts.pop(0)
evts.append(evt)
def _get_date(self, evt):
if isinstance(evt, EventData):
return evt.attr_value.time.todatetime()
elif isinstance(evt, PipeEventData):
return evt.pipe_value.time.todatetime()
else:
return evt.get_date().todatetime()
def _get_value(self, evt):
"""Internal usage only"""
if evt.err:
e = evt.errors[0]
return "[%s] %s" % (e.reason, e.desc)
if isinstance(evt, EventData):
return "[%s] %s" % (
evt.attr_value.quality, str(evt.attr_value.value))
elif isinstance(evt, AttrConfEventData):
cfg = evt.attr_conf
return "label='%s'; unit='%s'" % (cfg.label, cfg.unit)
elif isinstance(evt, DataReadyEventData):
return ""
elif isinstance(evt, PipeEventData):
return evt.pipe_value
elif isinstance(evt, DevIntrChangeEventData):
print("utils::_get_value()")
return
def get_home():
"""
Find user's home directory if possible. Otherwise raise error.
:return: user's home directory
:rtype: :py:obj:`str`
New in PyTango 7.1.4
"""
path = ''
try:
path = os.path.expanduser("~")
except:
pass
if not os.path.isdir(path):
for evar in ('HOME', 'USERPROFILE', 'TMP'):
try:
path = os.environ[evar]
if os.path.isdir(path):
break
except:
pass
if path:
return path
else:
raise RuntimeError('please define environment variable $HOME')
def _get_env_var(env_var_name):
"""
Returns the value for the given environment name
Search order:
* a real environ var
* HOME/.tangorc
* /etc/tangorc
:param env_var_name: the environment variable name
:type env_var_name: str
:return: the value for the given environment name
:rtype: str
New in PyTango 7.1.4
"""
if env_var_name in os.environ:
return os.environ[env_var_name]
fname = os.path.join(get_home(), '.tangorc')
if not os.path.exists(fname):
if os.name == 'posix':
fname = "/etc/tangorc"
if not os.path.exists(fname):
return None
for line in open(fname):
strippedline = line.split('#', 1)[0].strip()
if not strippedline:
# empty line
continue
tup = strippedline.split('=', 1)
if len(tup) != 2:
# illegal line!
continue
key, val = map(str.strip, tup)
if key == env_var_name:
return val
def from_version_str_to_hex_str(version_str):
v = map(int, version_str.split('.'))
return "0x%02d%02d%02d00" % (v[0], v[1], v[2])
def from_version_str_to_int(version_str):
return int(from_version_str_to_hex_str(version_str), 16)
def info():
# Compile and Runtime are set by `tango.pytango_init.init`
from .constants import Compile, Runtime
msg = """\
PyTango {0.version} {0.version_info}
PyTango compiled with:
Python : {1.PY_VERSION}
Numpy : {1.NUMPY_VERSION}
Tango : {1.TANGO_VERSION}
Boost : {1.BOOST_VERSION}
PyTango runtime is:
Python : {2.PY_VERSION}
Numpy : {2.NUMPY_VERSION}
Tango : {2.TANGO_VERSION}
Boost : {2.BOOST_VERSION}
PyTango running on:
{2.UNAME}
"""
msg = msg.format(Release, Compile, Runtime)
return msg
def get_attrs(obj):
"""Helper for dir2 implementation."""
if not hasattr(obj, '__dict__'):
return [] # slots only
proxy_type = types.MappingProxyType if six.PY3 else types.DictProxyType
if not isinstance(obj.__dict__, (dict, proxy_type)):
print(type(obj.__dict__), obj)
raise TypeError("%s.__dict__ is not a dictionary" % obj.__name__)
return obj.__dict__.keys()
def dir2(obj):
"""Default dir implementation.
Inspired by gist: katyukha/dirmixin.py
https://gist.github.com/katyukha/c6e5e2b829e247c9b009
"""
attrs = set()
if not hasattr(obj, '__bases__'):
# obj is an instance
if not hasattr(obj, '__class__'):
# slots
return sorted(get_attrs(obj))
klass = obj.__class__
attrs.update(get_attrs(klass))
else:
# obj is a class
klass = obj
for cls in klass.__bases__:
attrs.update(get_attrs(cls))
attrs.update(dir2(cls))
attrs.update(get_attrs(obj))
return list(attrs)
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