def test_records_are_given___records_are_written_to_oasis_keys_files_correctly(
self, successes, nonsuccesses):
oasis_keys_file_to_record_metadict = {
'LocID': 'id',
'PerilID': 'peril_id',
'CoverageTypeID': 'coverage_type',
'AreaPerilID': 'area_peril_id',
'VulnerabilityID': 'vulnerability_id'
}
oasis_keys_errors_file_to_record_metadict = {
'LocID': 'id',
'PerilID': 'peril_id',
'CoverageTypeID': 'coverage_type',
'Message': 'message'
}
with TemporaryDirectory() as d:
keys_file_path = os.path.join(d, 'keys.csv')
keys_errors_file_path = os.path.join(d, 'keys-errors.csv')
_, successes_count = OasisLookupFactory.write_oasis_keys_file(
successes, keys_file_path)
_, nonsuccesses_count = OasisLookupFactory.write_oasis_keys_errors_file(
nonsuccesses, keys_errors_file_path)
with io.open(keys_file_path, 'r', encoding='utf-8') as f1, io.open(
keys_errors_file_path, 'r', encoding='utf-8') as f2:
written_successes = [
dict((oasis_keys_file_to_record_metadict[k], r[k])
for k in r)
for r in pd.read_csv(f1).T.to_dict().values()
]
written_nonsuccesses = [
dict((oasis_keys_errors_file_to_record_metadict[k], r[k])
for k in r)
for r in pd.read_csv(f2).T.to_dict().values()
]
success_matches = list(
filter(
lambda r: (r['id'] == ws['id']
for ws in written_successes), successes))
nonsuccess_matches = list(
filter(
lambda r: (r['id'] == ws['id']
for ws in written_nonsuccesses), nonsuccesses))
self.assertEqual(successes_count, len(successes))
self.assertEqual(success_matches, successes)
self.assertEqual(nonsuccesses_count, len(nonsuccesses))
self.assertEqual(nonsuccess_matches, nonsuccesses)
def action(self, args):
"""
Generates a new a model testing dockerfile from the supplied template
:param args: The arguments from the command line
:type args: Namespace
"""
dockerfile_src = os.path.join(os.path.dirname(__file__),
os.path.pardir, '_data',
'Dockerfile.model_api_tester')
version_file = args.model_version_file or os.path.join(
args.model_data_directory, 'ModelVersion.csv')
version_info = OasisLookupFactory.get_model_info(version_file)
dockerfile_dst = os.path.join(
args.model_data_directory,
'Dockerfile.{}_{}_model_api_tester'.format(
version_info['supplier_id'].lower(),
version_info['model_id'].lower()),
)
replace_in_file(dockerfile_src, dockerfile_dst,
['%{}%'.format(s) for s in self.var_names], [
__version__,
args.api_server_url,
version_info['supplier_id'],
version_info['model_id'],
version_info['model_version'],
args.model_data_directory,
])
self.logger.info('File created at {}.'.format(dockerfile_dst))
return 0
def test_produced_keys_are_passed_to_write_oasis_keys_file(self, data):
with TemporaryDirectory() as d,\
patch('oasislmf.keys.lookup.OasisLookupFactory.get_keys', Mock(return_value=(r for r in data))) as get_keys_mock,\
patch('oasislmf.keys.lookup.OasisLookupFactory.write_oasis_keys_file') as write_oasis_keys_file_mock:
keys_file_path = os.path.join(d, 'piwind-keys.csv')
OasisLookupFactory.save_keys(lookup=self.create_fake_lookup(),
keys_file_path=keys_file_path,
model_exposures=json.dumps(data))
get_keys_mock.assert_called_once_with(
lookup=self.lookup_instance,
model_exposures=json.dumps(data),
model_exposures_file_path=None,
success_only=True)
write_oasis_keys_file_mock.assert_called_once_with(data,
keys_file_path,
id_col='id')
def test_exposures_string_is_provided___file_content_is_loaded(self, data):
stream = StringIO()
data = [('first', 'second')] + data
csv.writer(stream).writerows(data)
res = OasisLookupFactory.get_model_exposures(
model_exposures=stream.getvalue())
res = [tuple(res)] + [tuple(res.iloc[i]) for i in range(len(res))]
self.assertEqual(res, data)
def test_entries_are_dictionaries_success_only_is_false___all_entries_are_included(
self, data):
with patch(
'oasislmf.keys.lookup.OasisLookupFactory.get_model_exposures'):
self.create_fake_lookup(return_value=data)
res = list(
OasisLookupFactory.get_keys(lookup=self.lookup_instance,
model_exposures_file_path='path',
success_only=False))
self.assertEqual(res, data)
def test_entries_are_dictionaries_success_only_is_true___only_successes_are_included(
self, data):
with patch(
'oasislmf.keys.lookup.OasisLookupFactory.get_model_exposures'):
self.create_fake_lookup(return_value=data)
res = list(
OasisLookupFactory.get_keys(lookup=self.lookup_instance,
model_exposures_file_path='path'))
self.assertEqual(res,
[d for d in data if d['status'] == 'success'])
def test_file_is_provided___file_content_is_loaded(self, data):
data = [('first', 'second')] + data
with NamedTemporaryFile('w') as f:
csv.writer(f).writerows(data)
f.flush()
res = OasisLookupFactory.get_model_exposures(
model_exposures_file_path=f.name)
res = [tuple(res)] + [tuple(res.iloc[i]) for i in range(len(res))]
self.assertEqual(res, data)
def test_model_exposures_are_provided___exposures_are_passed_to_get_model_exposures_result_is_passed_to_lookup_process_locations(
self, exposures, result):
with patch(
'oasislmf.keys.lookup.OasisLookupFactory.get_model_exposures',
Mock(return_value=result)):
list(
OasisLookupFactory.get_keys(self.create_fake_lookup(),
model_exposures=exposures))
OasisLookupFactory.get_model_exposures.assert_called_once_with(
model_exposures=exposures, model_exposures_file_path=None)
self.lookup_instance.process_locations.assert_called_once_with(
result)
def test_records_are_given___records_are_written_to_json_keys_files_correctly(
self, successes, nonsuccesses):
with TemporaryDirectory() as d:
keys_file_path = os.path.join(d, 'keys.json')
keys_errors_file_path = os.path.join(d, 'keys-errors.json')
_, successes_count = OasisLookupFactory.write_json_keys_file(
successes, keys_file_path)
_, nonsuccesses_count = OasisLookupFactory.write_json_keys_file(
nonsuccesses, keys_errors_file_path)
with io.open(keys_file_path, 'r', encoding='utf-8') as f1, io.open(
keys_errors_file_path, 'r', encoding='utf-8') as f2:
written_successes = json.load(f1)
written_nonsuccesses = json.load(f2)
self.assertEqual(successes_count, len(successes))
self.assertEqual(written_successes, successes)
self.assertEqual(nonsuccesses_count, len(nonsuccesses))
self.assertEqual(written_nonsuccesses, nonsuccesses)
def test_keys_path_is_supplied___correct_instance_is_created_with_correct_model_info_and_keys_path(
self, supplier, model, version):
with TemporaryDirectory() as d:
keys_path = os.path.join(d, 'keys')
os.mkdir(keys_path)
version_path = os.path.join(d, 'version.csv')
self.write_version_file(supplier, model, version, version_path)
module_path = os.path.join(d, '{}_lookup.py'.format(model))
self.write_py_module(model, module_path)
_, instance = OasisLookupFactory.create(
model_keys_data_path=keys_path,
model_version_file_path=version_path,
lookup_package_path=module_path,
)
self.assertEqual(
type(instance).__name__, '{}KeysLookup'.format(model))
self.assertEqual(instance.supplier, supplier)
self.assertEqual(instance.model_name, model)
self.assertEqual(instance.model_version, version)
self.assertEqual(instance.keys_data_directory, keys_path)
def test_no_model_exposures_are_provided___oasis_exception_is_raised(self):
with self.assertRaises(OasisException):
list(OasisLookupFactory.get_keys(self.create_fake_lookup()))
def test_no_file_or_exposures_are_provided___oasis_exception_is_raised(
self):
with self.assertRaises(OasisException):
OasisLookupFactory.get_model_exposures()
from shapely.geometry import Point, Polygon, MultiPolygon, box
from oasislmf.utils.data import get_dataframe
from oasislmf.utils.peril import PerilAreasIndex, DEFAULT_RTREE_INDEX_PROPS
from oasislmf.keys.lookup import OasisLookupFactory as olf
# Create a copy of the default Rtree properties dict and set
# leaf capacity and fill factor to create as small an index as possible
props = copy.deepcopy(DEFAULT_RTREE_INDEX_PROPS)
props['leaf_capacity'] = 1000
props['fill_factor'] = 0.9
# Create an EUWS lookup (combines peril and vulnerability lookup) using the
# Oasis lookup factory
info, meeq = olf.create(lookup_config_fp='lookup_meeq.json')
print('\nmodel info: {}'.format(info))
print('\ncombined lookup (peril + vuln): {}'.format(meeq))
# Get the config dict from the lookup (loaded in from the file path you
# provided to create the lookup)
config = meeq.config
#print('lookup config: {}'.format(config))
# Check that keys data path look correct
keys_data_path = config.get('keys_data_path')
print('\nkeys data path: {}'.format(keys_data_path), end='')
print('; exists: {}'.format(os.path.exists(keys_data_path)))
# Check that the peril and vulnerability configs look OK
print('\nperil config: {}'.format(config.get('peril')))
from shapely.geometry import Point, Polygon, MultiPolygon, box
from oasislmf.utils.data import get_dataframe
from oasislmf.utils.peril import PerilAreasIndex, DEFAULT_RTREE_INDEX_PROPS
from oasislmf.keys.lookup import OasisLookupFactory as olf
# Create a copy of the default Rtree properties dict and set
# leaf capacity and fill factor to create as small an index as possible
props = copy.deepcopy(DEFAULT_RTREE_INDEX_PROPS)
props['leaf_capacity'] = 1000
props['fill_factor'] = 0.9
# Create an EUWS lookup (combines peril and vulnerability lookup) using the
# Oasis lookup factory
info, euws = olf.create(lookup_config_fp='lookup.json')
print('\nEUWS model info: {}'.format(info))
print('\nCombined EUWS lookup (peril + vuln): {}'.format(euws))
# Get the config dict from the lookup (loaded in from the file path you
# provided to create the lookup)
config = euws.config
#print('lookup config: {}'.format(config))
# Check that keys data path look correct
keys_data_path = config.get('keys_data_path')
print('\nkeys data path: {}'.format(keys_data_path), end='')
print('; exists: {}'.format(os.path.exists(keys_data_path)))
# Check that the peril and vulnerability configs look OK
print('\nperil config: {}'.format(config.get('peril')))