def _get_storage_units(category_name, value_name):
# We may specify a storage unit separately from display units
# We do this for area, since GEOS returns m² but we want to display ft²
# If there are no storage units specified, use the display units
storage_defaults = DotDict(settings.STORAGE_UNITS)
return storage_defaults.get(category_name + '.' + value_name,
default=_get_display_default(
category_name, value_name, 'units'))
def _get_storage_units(category_name, value_name):
# We may specify a storage unit separately from display units
# We do this for area, since GEOS returns m² but we want to display ft²
# If there are no storage units specified, use the display units
storage_defaults = DotDict(settings.STORAGE_UNITS)
return storage_defaults.get(
category_name + '.' + value_name,
default=_get_display_default(category_name, value_name, 'units'))
def add_to_config(config, *categories):
config = DotDict(deepcopy(config or {}))
for category in categories:
lookup = '.'.join(['search_config', category])
specs = config.setdefault(lookup, [])
if 0 == len([v for s in specs for v in s.values() if v == identifier]):
# mutates config[lookup]
specs.append({u'identifier': identifier})
return config
def add_to_config(config, *categories):
config = DotDict(deepcopy(config or {}))
for category in categories:
lookup = '.'.join(['search_config', category])
specs = config.setdefault(lookup, [])
if 0 == len([v for s in specs for v in s.values() if v == identifier]):
# mutates config[lookup]
specs.append({u'identifier': identifier})
return config
def remove_from_config(config, *categories):
config = DotDict(deepcopy(config or {}))
for category in categories:
lookup = '.'.join(['search_config', category])
specs = config.get(lookup)
if specs:
find_index = [i for i, s in enumerate(specs)
if identifier in s.values()]
if 0 < len(find_index):
specs.pop(find_index[0])
return config
def remove_from_config(config, *categories):
config = DotDict(deepcopy(config or {}))
for category in categories:
lookup = '.'.join(['search_config', category])
specs = config.get(lookup)
if specs:
find_index = [
i for i, s in enumerate(specs) if identifier in s.values()
]
if 0 < len(find_index):
specs.pop(find_index[0])
return config
def add_to_config(config, *categories):
config = deepcopy(config or DotDict({}))
for category in categories:
lookup = '.'.join(['search_config', category])
specs = config.setdefault(lookup, [])
if True not in [identifier in v for s in specs for v in s.values()]:
# mutates config[lookup]
specs.append({u'identifier': identifier})
return config
def remove_from_config(config, *categories):
config = deepcopy(config or DotDict({}))
for category in categories:
lookup = '.'.join(['search_config', category])
specs = config.get(lookup)
if specs:
for index, spec in enumerate(specs):
if identifier in spec.values():
break
if index < len(specs):
specs.pop(index)
return config
def get_udfc_search_fields(instance, user):
from treemap.models import InstanceUser
from treemap.udf import UDFModel
from treemap.util import to_object_name, leaf_models_of_class
from treemap.lib.perms import udf_write_level, READ, WRITE
try:
iu = instance.instanceuser_set.get(user__pk=user.pk)
except InstanceUser.DoesNotExist:
iu = None
data = DotDict({'models': set(), 'udfc': {}})
for clz in leaf_models_of_class(UDFModel):
model_name = clz.__name__
if model_name not in ['Tree'] + instance.map_feature_types:
continue
for k, v in clz.collection_udf_settings.items():
udfds = (u for u in udf_defs(instance, model_name) if u.name == k)
for udfd in udfds:
if udf_write_level(iu, udfd) in (READ, WRITE):
_base_nest_path = 'udfc.%s.' % (to_object_name(k))
ids_nest_path = (
'%sids.%s' %
(_base_nest_path, to_object_name(model_name)))
models_nest_path = (
'%smodels.%s' %
(_base_nest_path, to_object_name(model_name)))
data[ids_nest_path] = udfd.pk
data[models_nest_path] = {
'udfd': udfd,
'fields': udfd.datatype_dict[0]['choices']
}
p = 'udfc.%s.' % to_object_name(k)
data[p + 'action_verb'] = v['action_verb']
data[p + 'range_field_key'] = v['range_field_key']
data[p + 'action_field_key'] = v['action_field_key']
data['models'] |= {clz}
return data
def to_python(self, value):
if isinstance(value, basestring):
obj = json.loads(value or "{}")
return DotDict(obj) if isinstance(obj, dict) else obj
else:
return value
from django.utils.translation import ugettext_noop
import copy
import re
from treemap.DotDict import DotDict
from treemap.lib.object_caches import udf_defs
DEFAULT_MOBILE_SEARCH_FIELDS = DotDict({
'standard': [{
'identifier': 'species.id'
}, {
'identifier': 'tree.diameter'
}, {
'identifier': 'tree.height'
}],
'missing': [{
'identifier': 'species.id'
}, {
'identifier': 'tree.diameter'
}, {
'identifier': 'mapFeaturePhoto.id'
}]
})
DEFAULT_SEARCH_FIELDS = DotDict({
'general': [{
'identifier': 'mapFeature.updated_at'
}, {
'identifier': 'mapFeature.updated_by'
}],
'missing': [{