def make_layer_data_min_zoom():
yaml_path = find_yaml_path()
layer_parse_result = parse_layers_min_zoom(yaml_path)
by_name = {}
for layer_datum in layer_parse_result.layer_data:
by_name[layer_datum.layer] = layer_datum
return layer_parse_result.layer_data, by_name
def make_layer_data_min_zoom():
yaml_path = find_yaml_path()
layer_parse_result = parse_layers_min_zoom(yaml_path)
by_name = {}
for layer_datum in layer_parse_result.layer_data:
by_name[layer_datum.layer] = layer_datum
return layer_parse_result.layer_data, by_name
def test_all_kinds(self):
"""
Test that we've enumerated all the possible values for kind and
kind_detail in the YAML files.
"""
from vectordatasource.meta import find_yaml_path
from vectordatasource.meta.kinds import parse_all_kinds
import os.path
yaml_path = find_yaml_path()
sort_rank_path = os.path.join(
os.path.split(yaml_path)[0], 'spreadsheets', 'sort_rank')
# should be able to execute this without throwing an exception.
all_kinds = parse_all_kinds(yaml_path, sort_rank_path, True)
# and we should get some data back
self.assertTrue(all_kinds)
def write_sql(io):
from vectordatasource.meta import find_yaml_path
yaml_path = find_yaml_path()
for output_fn, make_fn_name, force_type, return_type in (
(output_kind, make_function_name_props, None, 'JSON'),
(output_min_zoom, make_function_name_min_zoom, float, 'REAL')):
layer_result = parse_layers(yaml_path, output_fn, make_fn_name)
assert isinstance(layer_result, LayerParseResult)
for function_data in layer_result.layer_data:
assert isinstance(function_data, FunctionData)
ast_fn = function_data.ast
ast_fn = GeomTypeTransformer().visit(ast_fn)
visitor = SQLVisitor(io, force_type, return_type)
visitor.visit(ast_fn)
for layer, tables in LAYER_TABLES.items():
for table in tables:
for calc, return_type in [('json', 'JSON'), ('min_zoom', 'REAL')]:
print_adaptor(io, layer, table, calc, return_type)
def main(argv=None):
from vectordatasource.meta import find_yaml_path
if argv is None:
argv = sys.argv
yaml_path = find_yaml_path()
formatter = astformatter.ASTFormatter()
all_layer_data = []
for output_fn, make_fn_name in ((output_kind, make_function_name_props),
(output_min_zoom,
make_function_name_min_zoom)):
layer_parse_result = parse_layers(yaml_path, output_fn, make_fn_name)
all_layer_data.append(layer_parse_result.layer_data)
for import_ast in layer_parse_result.import_asts:
print formatter.format(import_ast, mode='exec')
for layer_data in all_layer_data:
for layer_datum in layer_data:
ast_fn = layer_datum.ast
print formatter.format(ast_fn, mode='exec')
def main(argv=None):
from vectordatasource.meta import find_yaml_path
if argv is None:
argv = sys.argv
yaml_path = find_yaml_path()
formatter = astformatter.ASTFormatter()
all_layer_data = []
for output_fn, make_fn_name in (
(output_kind, make_function_name_props),
(output_min_zoom, make_function_name_min_zoom)):
layer_parse_result = parse_layers(
yaml_path, output_fn, make_fn_name)
all_layer_data.append(layer_parse_result.layer_data)
for import_ast in layer_parse_result.import_asts:
print formatter.format(import_ast, mode='exec')
for layer_data in all_layer_data:
for layer_datum in layer_data:
ast_fn = layer_datum.ast
print formatter.format(ast_fn, mode='exec')
def find_yaml_path():
from vectordatasource.meta import find_yaml_path
return find_yaml_path()
from vectordatasource.meta.kinds import parse_all_kinds
if __name__ == '__main__':
from vectordatasource.meta import find_yaml_path
import argparse
import os.path
yaml_path = find_yaml_path()
sort_rank_path = os.path.join(
os.path.split(yaml_path)[0], 'spreadsheets', 'sort_rank')
parser = argparse.ArgumentParser()
parser.add_argument('--yaml-path', help='Directory containing YAML',
default=yaml_path)
parser.add_argument('--sort-rank-path', help='Directory containing sort '
'rank CSVs.', default=sort_rank_path)
parser.add_argument('--kind-detail', help='Include kind_detail.',
action='store_true', default=False)
args = parser.parse_args()
if args.yaml_path:
yaml_path = args.yaml_path
if args.sort_rank_path:
sort_rank_path = args.sort_rank_path
all_kinds = parse_all_kinds(yaml_path, sort_rank_path, args.kind_detail)
row_fmt = "%(layer)12s %(kind)30s %(min_zoom)8s %(sort_rank)s"
if args.kind_detail:
row_fmt = "%(layer)12s %(kind)30s %(kind_detail)30s " \
from vectordatasource.meta.kinds import parse_all_kinds
if __name__ == '__main__':
from vectordatasource.meta import find_yaml_path
import argparse
import os.path
yaml_path = find_yaml_path()
sort_rank_path = os.path.join(
os.path.split(yaml_path)[0], 'spreadsheets', 'sort_rank')
parser = argparse.ArgumentParser()
parser.add_argument('--yaml-path',
help='Directory containing YAML',
default=yaml_path)
parser.add_argument('--sort-rank-path',
help='Directory containing sort '
'rank CSVs.',
default=sort_rank_path)
parser.add_argument('--kind-detail',
help='Include kind_detail.',
action='store_true',
default=False)
args = parser.parse_args()
if args.yaml_path:
yaml_path = args.yaml_path
if args.sort_rank_path:
sort_rank_path = args.sort_rank_path
all_kinds = parse_all_kinds(yaml_path, sort_rank_path, args.kind_detail)
def find_yaml_path():
from vectordatasource.meta import find_yaml_path
return find_yaml_path()
