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# 

# LSST Data Management System 

# Copyright 2008, 2009, 2010 LSST Corporation. 

# 

# This product includes software developed by the 

# LSST Project (http://www.lsst.org/). 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 3 of the License, or 

# (at your option) any later version. 

# 

# This program is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

# You should have received a copy of the LSST License Statement and 

# the GNU General Public License along with this program. If not, 

# see <http://www.lsstcorp.org/LegalNotices/>. 

# 

 

from .config import Config, FieldValidationError, _autocast, _typeStr, _joinNamePath 

from .dictField import Dict, DictField 

from .comparison import compareConfigs, compareScalars, getComparisonName 

from .callStack import getCallStack, getStackFrame 

 

__all__ = ["ConfigDictField"] 

 

 

class ConfigDict(Dict): 

"""Internal representation of a dictionary of configuration classes. 

 

Much like `Dict`, `ConfigDict` is a custom `MutableMapper` which tracks 

the history of changes to any of its items. 

""" 

 

def __init__(self, config, field, value, at, label): 

Dict.__init__(self, config, field, value, at, label, setHistory=False) 

self.history.append(("Dict initialized", at, label)) 

 

def __setitem__(self, k, x, at=None, label="setitem", setHistory=True): 

if self._config._frozen: 

msg = "Cannot modify a frozen Config. "\ 

"Attempting to set item at key %r to value %s" % (k, x) 

raise FieldValidationError(self._field, self._config, msg) 

 

# validate keytype 

k = _autocast(k, self._field.keytype) 

if type(k) != self._field.keytype: 

msg = "Key %r is of type %s, expected type %s" % \ 

(k, _typeStr(k), _typeStr(self._field.keytype)) 

raise FieldValidationError(self._field, self._config, msg) 

 

# validate itemtype 

dtype = self._field.itemtype 

if type(x) != self._field.itemtype and x != self._field.itemtype: 

msg = "Value %s at key %r is of incorrect type %s. Expected type %s" % \ 

(x, k, _typeStr(x), _typeStr(self._field.itemtype)) 

raise FieldValidationError(self._field, self._config, msg) 

 

if at is None: 

at = getCallStack() 

name = _joinNamePath(self._config._name, self._field.name, k) 

oldValue = self._dict.get(k, None) 

if oldValue is None: 

if x == dtype: 

self._dict[k] = dtype(__name=name, __at=at, __label=label) 

else: 

self._dict[k] = dtype(__name=name, __at=at, __label=label, **x._storage) 

if setHistory: 

self.history.append(("Added item at key %s" % k, at, label)) 

else: 

if x == dtype: 

x = dtype() 

oldValue.update(__at=at, __label=label, **x._storage) 

if setHistory: 

self.history.append(("Modified item at key %s" % k, at, label)) 

 

def __delitem__(self, k, at=None, label="delitem"): 

if at is None: 

at = getCallStack() 

Dict.__delitem__(self, k, at, label, False) 

self.history.append(("Removed item at key %s" % k, at, label)) 

 

 

class ConfigDictField(DictField): 

"""A configuration field (`~lsst.pex.config.Field` subclass) that is a 

mapping of keys to `~lsst.pex.config.Config` instances. 

 

``ConfigDictField`` behaves like `DictField` except that the 

``itemtype`` must be a `~lsst.pex.config.Config` subclass. 

 

Parameters 

---------- 

doc : `str` 

A description of the configuration field. 

keytype : {`int`, `float`, `complex`, `bool`, `str`} 

The type of the mapping keys. All keys must have this type. 

itemtype : `lsst.pex.config.Config`-type 

The type of the values in the mapping. This must be 

`~lsst.pex.config.Config` or a subclass. 

default : optional 

Unknown. 

default : ``itemtype``-dtype, optional 

Default value of this field. 

optional : `bool`, optional 

If `True`, this configuration `~lsst.pex.config.Field` is *optional*. 

Default is `True`. 

 

Raises 

------ 

ValueError 

Raised if the inputs are invalid: 

 

- ``keytype`` or ``itemtype`` arguments are not supported types 

(members of `ConfigDictField.supportedTypes`. 

- ``dictCheck`` or ``itemCheck`` is not a callable function. 

 

See also 

-------- 

ChoiceField 

ConfigChoiceField 

ConfigField 

ConfigurableField 

DictField 

Field 

ListField 

RangeField 

RegistryField 

 

Notes 

----- 

You can use ``ConfigDictField`` to create name-to-config mappings. One use 

case is for configuring mappings for dataset types in a Butler. In this 

case, the dataset type names are arbitrary and user-selected while the 

mapping configurations are known and fixed. 

""" 

 

DictClass = ConfigDict 

 

def __init__(self, doc, keytype, itemtype, default=None, optional=False, dictCheck=None, itemCheck=None): 

source = getStackFrame() 

self._setup(doc=doc, dtype=ConfigDict, default=default, check=None, 

optional=optional, source=source) 

146 ↛ 147line 146 didn't jump to line 147, because the condition on line 146 was never true if keytype not in self.supportedTypes: 

raise ValueError("'keytype' %s is not a supported type" % 

_typeStr(keytype)) 

149 ↛ 150line 149 didn't jump to line 150, because the condition on line 149 was never true elif not issubclass(itemtype, Config): 

raise ValueError("'itemtype' %s is not a supported type" % 

_typeStr(itemtype)) 

152 ↛ 153line 152 didn't jump to line 153, because the condition on line 152 was never true if dictCheck is not None and not hasattr(dictCheck, "__call__"): 

raise ValueError("'dictCheck' must be callable") 

154 ↛ 155line 154 didn't jump to line 155, because the condition on line 154 was never true if itemCheck is not None and not hasattr(itemCheck, "__call__"): 

raise ValueError("'itemCheck' must be callable") 

 

self.keytype = keytype 

self.itemtype = itemtype 

self.dictCheck = dictCheck 

self.itemCheck = itemCheck 

 

def rename(self, instance): 

configDict = self.__get__(instance) 

if configDict is not None: 

for k in configDict: 

fullname = _joinNamePath(instance._name, self.name, k) 

configDict[k]._rename(fullname) 

 

def validate(self, instance): 

value = self.__get__(instance) 

if value is not None: 

for k in value: 

item = value[k] 

item.validate() 

if self.itemCheck is not None and not self.itemCheck(item): 

msg = "Item at key %r is not a valid value: %s" % (k, item) 

raise FieldValidationError(self, instance, msg) 

DictField.validate(self, instance) 

 

def toDict(self, instance): 

configDict = self.__get__(instance) 

if configDict is None: 

return None 

 

dict_ = {} 

for k in configDict: 

dict_[k] = configDict[k].toDict() 

 

return dict_ 

 

def save(self, outfile, instance): 

configDict = self.__get__(instance) 

fullname = _joinNamePath(instance._name, self.name) 

if configDict is None: 

outfile.write(u"{}={!r}\n".format(fullname, configDict)) 

return 

 

outfile.write(u"{}={!r}\n".format(fullname, {})) 

for v in configDict.values(): 

outfile.write(u"{}={}()\n".format(v._name, _typeStr(v))) 

v._save(outfile) 

 

def freeze(self, instance): 

configDict = self.__get__(instance) 

if configDict is not None: 

for k in configDict: 

configDict[k].freeze() 

 

def _compare(self, instance1, instance2, shortcut, rtol, atol, output): 

"""Compare two fields for equality. 

 

Used by `lsst.pex.ConfigDictField.compare`. 

 

Parameters 

---------- 

instance1 : `lsst.pex.config.Config` 

Left-hand side config instance to compare. 

instance2 : `lsst.pex.config.Config` 

Right-hand side config instance to compare. 

shortcut : `bool` 

If `True`, this function returns as soon as an inequality if found. 

rtol : `float` 

Relative tolerance for floating point comparisons. 

atol : `float` 

Absolute tolerance for floating point comparisons. 

output : callable 

A callable that takes a string, used (possibly repeatedly) to report inequalities. 

 

Returns 

------- 

isEqual : bool 

`True` if the fields are equal, `False` otherwise. 

 

Notes 

----- 

Floating point comparisons are performed by `numpy.allclose`. 

""" 

d1 = getattr(instance1, self.name) 

d2 = getattr(instance2, self.name) 

name = getComparisonName( 

_joinNamePath(instance1._name, self.name), 

_joinNamePath(instance2._name, self.name) 

) 

if not compareScalars("keys for %s" % name, set(d1.keys()), set(d2.keys()), output=output): 

return False 

equal = True 

for k, v1 in d1.items(): 

v2 = d2[k] 

result = compareConfigs("%s[%r]" % (name, k), v1, v2, shortcut=shortcut, 

rtol=rtol, atol=atol, output=output) 

if not result and shortcut: 

return False 

equal = equal and result 

return equal