def parse_all_kinds(yaml_path, sort_rank_path, include_kind_detail):
from glob import glob
from os.path import join, split, exists
from yaml import load as yaml_load
from vectordatasource.transform import CSVMatcher
all_kinds = {}
for yaml_file in glob(join(yaml_path, '*.yaml')):
layer_name = split(yaml_file)[1][:-5]
with open(yaml_file, 'r') as fh:
yaml_data = yaml_load(fh)
# by default, we don't have any sort_rank information
sort_rank = no_matcher
# look for a spreadsheet for sort_rank
csv_file = join(yaml_path, '..', 'spreadsheets', 'sort_rank',
'%s.csv' % layer_name)
if exists(csv_file):
with open(csv_file, 'r') as fh:
sort_rank = CSVMatcher(fh)
for item in yaml_data['filters']:
kinds = parse_item(layer_name, item, sort_rank,
include_kind_detail)
for k, v in kinds.iteritems():
prev_v = all_kinds.get(k)
if prev_v is not None:
v = merge_info(prev_v, v)
all_kinds[k] = v
return all_kinds
def __init__(self, *args, **kwargs):
super(SortKeyTest, self).__init__(*args, **kwargs)
from vectordatasource.transform import CSVMatcher
import os.path
landuse_path = os.path.join(os.path.dirname(__file__), '..',
'spreadsheets', 'sort_rank', 'landuse.csv')
with open(landuse_path) as fh:
self.matcher = CSVMatcher(fh)
def __init__(self, *args, **kwargs):
super(BuildingsClassTest, self).__init__(*args, **kwargs)
from vectordatasource.transform import CSVMatcher
import os.path
buildings_path = os.path.join(os.path.dirname(__file__), '..',
'spreadsheets', 'scale_rank',
'buildings.csv')
with open(buildings_path) as fh:
self.matcher = CSVMatcher(fh)