import copy import operator import os import random import six import yaml from collections import defaultdict from geodata.address_expansions.address_dictionaries import address_phrase_dictionaries from geodata.address_formatting.formatter import AddressFormatter from geodata.configs.utils import nested_get, recursive_merge from geodata.math.sampling import cdf, weighted_choice from geodata.encoding import safe_encode this_dir = os.path.realpath(os.path.dirname(__file__)) PLACE_CONFIG_FILE = os.path.join(this_dir, os.pardir, os.pardir, os.pardir, 'resources', 'places', 'countries', 'global.yaml') class PlaceConfig(object): ADMIN_COMPONENTS = { AddressFormatter.SUBURB, AddressFormatter.CITY_DISTRICT, AddressFormatter.CITY, AddressFormatter.ISLAND, AddressFormatter.STATE_DISTRICT, AddressFormatter.STATE, AddressFormatter.COUNTRY_REGION, AddressFormatter.COUNTRY, AddressFormatter.WORLD_REGION, } numeric_ops = (('lte', operator.le), ('gt', operator.gt), ('lt', operator.lt), ('gte', operator.ge), ) def __init__(self, config_file=PLACE_CONFIG_FILE): self.cache = {} place_config = yaml.load(open(config_file)) self.global_config = place_config['global'] self.country_configs = {} self.cdf_cache = {} countries = place_config.pop('countries', {}) for k, v in six.iteritems(countries): country_config = countries[k] global_config_copy = copy.deepcopy(self.global_config) self.country_configs[k] = recursive_merge(global_config_copy, country_config) def get_property(self, key, country=None, default=None): if isinstance(key, six.string_types): key = key.split('.') config = self.global_config if country: country_config = self.country_configs.get(country, {}) if country_config: config = country_config return nested_get(config, key, default=default) def include_component(self, component, containing_ids, country=None, population=None): containing = self.get_property(('components', component, 'containing'), country=country, default=None) if containing is not None: for c in containing: if (c['type'], safe_encode(c['id'])) in containing_ids: return random.random() < c['probability'] if population is not None: population_exceptions = self.get_property(('components', component, 'population'), country=country, default=None) if population_exceptions: try: population = int(population) except (TypeError, ValueError): population = 0 for exc in population_exceptions: support = 0 for k, op in self.numeric_ops: if k not in exc: continue res = op(population, exc[k]) if not res: support = 0 break support += 1 if support > 0: probability = exc.get('probability', 0.0) return random.random() < probability probability = self.get_property(('components', component, 'probability'), country=country, default=0.0) return random.random() < probability def dropout_components(self, components, boundaries=(), country=None, population=None): containing_ids = set() for boundary in boundaries: object_type = boundary.get('type') object_id = safe_encode(boundary.get('id', '')) if not (object_type and object_id): continue containing_ids.add((object_type, object_id)) names = defaultdict(list) admin_components = [c for c in components if c in self.ADMIN_COMPONENTS] for c in admin_components: names[components[c]].append(c) same_name = set() for c, v in six.iteritems(names): if len(v) > 1: same_name |= set(v) new_components = components.copy() for component in admin_components: include = self.include_component(component, containing_ids, country=country, population=population) if not include: # Note: this check is for cities that have the same name as their admin # areas e.g. Luxembourg, Luxembourg. In cases like this, if we were to drop # city, we don't want to include country on its own. This should help the parser # default to the city in ambiguous cases where only one component is specified. if not (component == AddressFormatter.CITY and component in same_name): new_components.pop(component, None) else: value = components[component] for c in names[value]: new_components.pop(c, None) for component in self.ADMIN_COMPONENTS: value = self.get_property(('components', component, 'value'), country=country, default=None) if not value: values, probs = self.cdf_cache.get((country, component), (None, None)) if values is None: values = self.get_property(('components', component, 'values'), country=country, default=None) if values is not None: values, probs = zip(*[(v['value'], float(v['probability'])) for v in values]) probs = cdf(probs) self.cdf_cache[(country, component)] = (values, probs) if values is not None: value = weighted_choice(values, probs) if value is not None and component not in components and self.include_component(component, containing_ids, country=country, population=population): new_components[component] = value return new_components place_config = PlaceConfig()