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': [{