def test_set_step_and_run_op(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_1), res_name='X')
ws.execute_workflow('X')
self.assertIsNotNone(ws.workflow)
self.assertEqual(len(ws.workflow.steps), 1)
self.assertIn('X', ws.resource_cache)
op_name = '_extract_point'
op_args = mk_op_kwargs(ds='@X', point='10.22, 34.52', indexers=dict(time='2014-09-11'), should_return=True)
op_result = ws.run_op(op_name, op_args)
self.assertEqual(len(op_result), 4)
self.assertAlmostEqual(op_result['lat'], 34.5)
self.assertAlmostEqual(op_result['lon'], 10.2)
self.assertAlmostEqual(op_result['precipitation'], 5.5)
self.assertAlmostEqual(op_result['temperature'], 32.9)
# without asking for return data
op_args = mk_op_kwargs(ds='@X', point='10.22, 34.52', indexers=dict(time='2014-09-11'))
op_result = ws.run_op(op_name, op_args)
self.assertIsNone(op_result)
# with a non existing operator name
with self.assertRaises(ValidationError) as we:
ws.run_op("not_existing_op", {})
self.assertEqual('Unknown operation "not_existing_op"', str(we.exception))
def test_set_step_and_run_op(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_1), res_name='X')
ws.execute_workflow('X')
self.assertIsNotNone(ws.workflow)
self.assertEqual(len(ws.workflow.steps), 1)
self.assertIn('X', ws.resource_cache)
op_name = '_extract_point'
op_args = mk_op_kwargs(ds='@X', point='10.22, 34.52', indexers=dict(time='2014-09-11'), should_return=True)
op_result = ws.run_op(op_name, op_args)
self.assertEqual(len(op_result), 4)
self.assertAlmostEqual(op_result['lat'], 34.5)
self.assertAlmostEqual(op_result['lon'], 10.2)
self.assertAlmostEqual(op_result['precipitation'], 5.5)
self.assertAlmostEqual(op_result['temperature'], 32.9)
# without asking for return data
op_args = mk_op_kwargs(ds='@X', point='10.22, 34.52', indexers=dict(time='2014-09-11'))
op_result = ws.run_op(op_name, op_args)
self.assertIsNone(op_result)
# with a non existing operator name
with self.assertRaises(ValidationError) as we:
ws.run_op("not_existing_op", {})
self.assertEqual('Unknown operation "not_existing_op"', str(we.exception))
def test_workspace_is_part_of_context(self):
def some_op(ctx: dict) -> dict:
return dict(ctx)
from cate.core.op import OP_REGISTRY
try:
op_reg = OP_REGISTRY.add_op(some_op)
op_reg.op_meta_info.inputs['ctx']['context'] = True
ws = Workspace(
'/path',
Workflow(
OpMetaInfo('workspace_workflow',
header=dict(description='Test!'))))
ws.set_resource(op_reg.op_meta_info.qualified_name, {},
res_name='new_ctx')
ws.execute_workflow('new_ctx')
self.assertTrue('new_ctx' in ws.resource_cache)
self.assertTrue('workspace' in ws.resource_cache['new_ctx'])
self.assertIs(ws.resource_cache['new_ctx']['workspace'], ws)
finally:
OP_REGISTRY.remove_op(some_op)
def test_workspace_can_create_new_res_names(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
res_name_1 = ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value='A'))
res_name_2 = ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value='B'))
res_name_3 = ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value='C'))
self.assertEqual(res_name_1, 'res_1')
self.assertEqual(res_name_2, 'res_2')
self.assertEqual(res_name_3, 'res_3')
self.assertIsNotNone(ws.workflow.find_node(res_name_1))
self.assertIsNotNone(ws.workflow.find_node(res_name_2))
self.assertIsNotNone(ws.workflow.find_node(res_name_3))
def test_workspace_can_create_new_res_names(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
res_name_1 = ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value='A'))
res_name_2 = ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value='B'))
res_name_3 = ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value='C'))
self.assertEqual(res_name_1, 'res_1')
self.assertEqual(res_name_2, 'res_2')
self.assertEqual(res_name_3, 'res_3')
self.assertIsNotNone(ws.workflow.find_node(res_name_1))
self.assertIsNotNone(ws.workflow.find_node(res_name_2))
self.assertIsNotNone(ws.workflow.find_node(res_name_3))
def test_set_and_execute_step(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_1), res_name='X')
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@X", var="precipitation"), res_name='Y')
self.assertEqual(ws.resource_cache, {})
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@X", var="temperature"), res_name='Y',
overwrite=True)
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
self.assertIs(ws.resource_cache['Y'], UNDEFINED)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_2), res_name='X', overwrite=True)
self.assertIn('X', ws.resource_cache)
self.assertIs(ws.resource_cache['X'], UNDEFINED)
self.assertIn('Y', ws.resource_cache)
self.assertIs(ws.resource_cache['Y'], UNDEFINED)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
def test_set_and_rename_and_execute_step(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
self.assertEqual(ws.user_data, {})
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value=1), res_name='X')
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value="@X"), res_name='Y')
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value="@X"), res_name='Z')
self.assertEqual(len(ws.workflow.steps), 3)
self.assertEqual(ws.resource_cache, {})
value = ws.execute_workflow('Y')
self.assertEqual(value, 1)
self.assertEqual(ws.resource_cache.get('X'), 1)
self.assertEqual(ws.resource_cache.get('Y'), 1)
self.assertEqual(ws.resource_cache.get('Z'), None)
value = ws.execute_workflow('Z')
self.assertEqual(value, 1)
self.assertEqual(ws.resource_cache.get('X'), 1)
self.assertEqual(ws.resource_cache.get('Y'), 1)
self.assertEqual(ws.resource_cache.get('Z'), 1)
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value=9), res_name='X', overwrite=True)
self.assertEqual(len(ws.workflow.steps), 3)
self.assertEqual(ws.resource_cache.get('X'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Y'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Z'), UNDEFINED)
ws.execute_workflow()
self.assertEqual(ws.resource_cache.get('X'), 9)
self.assertEqual(ws.resource_cache.get('Y'), 9)
self.assertEqual(ws.resource_cache.get('Z'), 9)
ws.rename_resource('X', 'A')
self.assertIsNone(ws.workflow.find_node('X'))
self.assertIsNotNone(ws.workflow.find_node('A'))
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), 9)
self.assertEqual(ws.resource_cache.get('Y'), 9)
self.assertEqual(ws.resource_cache.get('Z'), 9)
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value=5), res_name='A', overwrite=True)
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Y'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Z'), UNDEFINED)
ws.execute_workflow()
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), 5)
self.assertEqual(ws.resource_cache.get('Y'), 5)
self.assertEqual(ws.resource_cache.get('Z'), 5)
def test_set_and_rename_and_execute_step(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
self.assertEqual(ws.user_data, {})
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value=1), res_name='X')
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value="@X"), res_name='Y')
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value="@X"), res_name='Z')
self.assertEqual(len(ws.workflow.steps), 3)
self.assertEqual(ws.resource_cache, {})
value = ws.execute_workflow('Y')
self.assertEqual(value, 1)
self.assertEqual(ws.resource_cache.get('X'), 1)
self.assertEqual(ws.resource_cache.get('Y'), 1)
self.assertEqual(ws.resource_cache.get('Z'), None)
value = ws.execute_workflow('Z')
self.assertEqual(value, 1)
self.assertEqual(ws.resource_cache.get('X'), 1)
self.assertEqual(ws.resource_cache.get('Y'), 1)
self.assertEqual(ws.resource_cache.get('Z'), 1)
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value=9), res_name='X', overwrite=True)
self.assertEqual(len(ws.workflow.steps), 3)
self.assertEqual(ws.resource_cache.get('X'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Y'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Z'), UNDEFINED)
ws.execute_workflow()
self.assertEqual(ws.resource_cache.get('X'), 9)
self.assertEqual(ws.resource_cache.get('Y'), 9)
self.assertEqual(ws.resource_cache.get('Z'), 9)
ws.rename_resource('X', 'A')
self.assertIsNone(ws.workflow.find_node('X'))
self.assertIsNotNone(ws.workflow.find_node('A'))
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), 9)
self.assertEqual(ws.resource_cache.get('Y'), 9)
self.assertEqual(ws.resource_cache.get('Z'), 9)
ws.set_resource('cate.ops.utility.identity', mk_op_kwargs(value=5), res_name='A', overwrite=True)
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Y'), UNDEFINED)
self.assertEqual(ws.resource_cache.get('Z'), UNDEFINED)
ws.execute_workflow()
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), 5)
self.assertEqual(ws.resource_cache.get('Y'), 5)
self.assertEqual(ws.resource_cache.get('Z'), 5)
def test_workspace_is_part_of_context(self):
def some_op(ctx: dict) -> dict:
return dict(ctx)
from cate.core.op import OP_REGISTRY
try:
op_reg = OP_REGISTRY.add_op(some_op)
op_reg.op_meta_info.inputs['ctx']['context'] = True
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
ws.set_resource(op_reg.op_meta_info.qualified_name, {}, res_name='new_ctx')
ws.execute_workflow('new_ctx')
self.assertTrue('new_ctx' in ws.resource_cache)
self.assertTrue('workspace' in ws.resource_cache['new_ctx'])
self.assertIs(ws.resource_cache['new_ctx']['workspace'], ws)
finally:
OP_REGISTRY.remove_op(some_op)
def test_example(self):
expected_json_text = """{
"schema_version": 1,
"qualified_name": "workspace_workflow",
"header": {
"description": "Test!"
},
"inputs": {},
"outputs": {},
"steps": [
{
"id": "p",
"op": "cate.ops.io.read_netcdf",
"inputs": {
"file": {
"value": "%s"
}
}
},
{
"id": "ts",
"op": "cate.ops.timeseries.tseries_mean",
"inputs": {
"ds": "p",
"var": {
"value": "precipitation"
}
}
}
]
}
""" % NETCDF_TEST_FILE_1.replace('\\', '\\\\')
expected_json_dict = json.loads(expected_json_text)
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
# print("wf_1: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_1), res_name='p')
# print("wf_2: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@p", var="precipitation"), res_name='ts')
# print("wf_3: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
self.maxDiff = None
self.assertEqual(ws.workflow.to_json_dict(), expected_json_dict)
with self.assertRaises(ValueError) as e:
ws.set_resource('cate.ops.timeseries.tseries_point',
mk_op_kwargs(ds="@p", point="iih!", var="precipitation"), res_name='ts2',
validate_args=True)
self.assertEqual(str(e.exception),
"Input 'point' for operation 'cate.ops.timeseries.tseries_point': "
"Value cannot be converted into a 'PointLike': "
"Invalid geometry WKT format.")
ws2 = Workspace.from_json_dict(ws.to_json_dict())
self.assertEqual(ws2.base_dir, ws.base_dir)
self.assertEqual(ws2.workflow.op_meta_info.qualified_name, ws.workflow.op_meta_info.qualified_name)
self.assertEqual(len(ws2.workflow.steps), len(ws.workflow.steps))
def test_example(self):
expected_json_text = """{
"schema_version": 1,
"qualified_name": "workspace_workflow",
"header": {
"description": "Test!"
},
"inputs": {},
"outputs": {},
"steps": [
{
"id": "p",
"op": "cate.ops.io.read_netcdf",
"inputs": {
"file": {
"value": "%s"
}
}
},
{
"id": "ts",
"op": "cate.ops.timeseries.tseries_mean",
"inputs": {
"ds": "p",
"var": {
"value": "precipitation"
}
}
}
]
}
""" % NETCDF_TEST_FILE_1.replace('\\', '\\\\')
expected_json_dict = json.loads(expected_json_text)
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
# print("wf_1: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_1), res_name='p')
# print("wf_2: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@p", var="precipitation"), res_name='ts')
# print("wf_3: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
self.maxDiff = None
self.assertEqual(ws.workflow.to_json_dict(), expected_json_dict)
with self.assertRaises(ValueError) as e:
ws.set_resource('cate.ops.timeseries.tseries_point',
mk_op_kwargs(ds="@p", point="iih!", var="precipitation"), res_name='ts2',
validate_args=True)
self.assertEqual(str(e.exception),
"Input 'point' for operation 'cate.ops.timeseries.tseries_point': "
"Value cannot be converted into a 'PointLike': "
"Invalid geometry WKT format.")
ws2 = Workspace.from_json_dict(ws.to_json_dict())
self.assertEqual(ws2.base_dir, ws.base_dir)
self.assertEqual(ws2.workflow.op_meta_info.qualified_name, ws.workflow.op_meta_info.qualified_name)
self.assertEqual(len(ws2.workflow.steps), len(ws.workflow.steps))
def test_set_and_execute_step(self):
ws = Workspace(
'/path',
Workflow(
OpMetaInfo('workspace_workflow',
header_dict=dict(description='Test!'))))
ws.set_resource('X', 'cate.ops.io.read_netcdf',
["file=%s" % NETCDF_TEST_FILE_1])
ws.set_resource('Y', 'cate.ops.timeseries.tseries_mean',
["ds=X", "var=precipitation"])
self.assertEqual(ws.resource_cache, {})
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('Y',
'cate.ops.timeseries.tseries_mean',
["ds=X", "var=temperature"],
overwrite=True)
self.assertIn('X', ws.resource_cache)
self.assertNotIn('Y', ws.resource_cache)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('X',
'cate.ops.io.read_netcdf',
["file=%s" % NETCDF_TEST_FILE_2],
overwrite=True)
self.assertNotIn('X', ws.resource_cache)
self.assertNotIn('Y', ws.resource_cache)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
def test_set_and_execute_step(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
with self.assertRaises(ValidationError) as we:
ws.set_resource("not_existing_op", {})
self.assertEqual('Unknown operation "not_existing_op"', str(we.exception))
with self.assertRaises(ValidationError) as we:
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(location=NETCDF_TEST_FILE_1), res_name='X')
self.assertEqual('"location" is not an input of operation "cate.ops.io.read_netcdf"', str(we.exception))
with self.assertRaises(ValidationError) as we:
ws.set_resource('cate.ops.io.read_netcdf', {'file': {'foo': 'bar'}}, res_name='X')
self.assertEqual('Illegal argument for input "file" of operation "cate.ops.io.read_netcdf', str(we.exception))
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_1), res_name='X')
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@X", var="precipitation"), res_name='Y')
self.assertEqual(ws.resource_cache, {})
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@X", var="temperature"), res_name='Y',
overwrite=True)
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
self.assertIs(ws.resource_cache['Y'], UNDEFINED)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_2), res_name='X', overwrite=True)
self.assertIn('X', ws.resource_cache)
self.assertIs(ws.resource_cache['X'], UNDEFINED)
self.assertIn('Y', ws.resource_cache)
self.assertIs(ws.resource_cache['Y'], UNDEFINED)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
def test_set_and_execute_step(self):
ws = Workspace('/path', Workflow(OpMetaInfo('workspace_workflow', header=dict(description='Test!'))))
with self.assertRaises(ValidationError) as we:
ws.set_resource("not_existing_op", {})
self.assertEqual('Unknown operation "not_existing_op"', str(we.exception))
with self.assertRaises(ValidationError) as we:
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(location=NETCDF_TEST_FILE_1), res_name='X')
self.assertEqual('"location" is not an input of operation "cate.ops.io.read_netcdf"', str(we.exception))
with self.assertRaises(ValidationError) as we:
ws.set_resource('cate.ops.io.read_netcdf', {'file': {'foo': 'bar'}}, res_name='X')
self.assertEqual('Illegal argument for input "file" of operation "cate.ops.io.read_netcdf', str(we.exception))
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_1), res_name='X')
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@X", var="precipitation"), res_name='Y')
self.assertEqual(ws.resource_cache, {})
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('cate.ops.timeseries.tseries_mean', mk_op_kwargs(ds="@X", var="temperature"), res_name='Y',
overwrite=True)
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
self.assertIs(ws.resource_cache['Y'], UNDEFINED)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
ws.set_resource('cate.ops.io.read_netcdf', mk_op_kwargs(file=NETCDF_TEST_FILE_2), res_name='X', overwrite=True)
self.assertIn('X', ws.resource_cache)
self.assertIs(ws.resource_cache['X'], UNDEFINED)
self.assertIn('Y', ws.resource_cache)
self.assertIs(ws.resource_cache['Y'], UNDEFINED)
ws.execute_workflow('Y')
self.assertIn('X', ws.resource_cache)
self.assertIn('Y', ws.resource_cache)
def test_set_and_rename_and_execute_step(self):
ws = Workspace(
'/path',
Workflow(
OpMetaInfo('workspace_workflow',
header_dict=dict(description='Test!'))))
ws.set_resource('X', 'cate.ops.ident.ident_int', ["value=1"])
ws.set_resource('Y', 'cate.ops.ident.ident_int', ["value=X"])
ws.set_resource('Z', 'cate.ops.ident.ident_int', ["value=X"])
self.assertEqual(len(ws.workflow.steps), 3)
self.assertEqual(ws.resource_cache, {})
print('----------------------------------')
value = ws.execute_workflow('Y')
self.assertEqual(value, 1)
self.assertEqual(ws.resource_cache.get('X'), 1)
self.assertEqual(ws.resource_cache.get('Y'), 1)
self.assertEqual(ws.resource_cache.get('Z'), None)
print('----------------------------------')
value = ws.execute_workflow('Z')
self.assertEqual(value, 1)
self.assertEqual(ws.resource_cache.get('X'), 1)
self.assertEqual(ws.resource_cache.get('Y'), 1)
self.assertEqual(ws.resource_cache.get('Z'), 1)
print('----X------------------------------')
ws.set_resource('X',
'cate.ops.ident.ident_int', ["value=9"],
overwrite=True)
self.assertEqual(len(ws.workflow.steps), 3)
self.assertEqual(ws.resource_cache.get('X'), None)
self.assertEqual(ws.resource_cache.get('Y'), None)
self.assertEqual(ws.resource_cache.get('Z'), None)
print('----Y------------------------------')
ws.execute_workflow()
self.assertEqual(ws.resource_cache.get('X'), 9)
self.assertEqual(ws.resource_cache.get('Y'), 9)
self.assertEqual(ws.resource_cache.get('Z'), 9)
print('----------------------------------')
ws.rename_resource('X', 'A')
self.assertIsNone(ws.workflow.find_node('X'))
self.assertIsNotNone(ws.workflow.find_node('A'))
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), 9)
self.assertEqual(ws.resource_cache.get('Y'), 9)
self.assertEqual(ws.resource_cache.get('Z'), 9)
print('----------------------------------')
ws.set_resource('A',
'cate.ops.ident.ident_int', ["value=5"],
overwrite=True)
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), None)
self.assertEqual(ws.resource_cache.get('Y'), None)
self.assertEqual(ws.resource_cache.get('Z'), None)
print('----------------------------------')
ws.execute_workflow()
self.assertEqual(ws.resource_cache.get('X', '--'), '--')
self.assertEqual(ws.resource_cache.get('A'), 5)
self.assertEqual(ws.resource_cache.get('Y'), 5)
self.assertEqual(ws.resource_cache.get('Z'), 5)
def test_example(self):
expected_json_text = """{
"qualified_name": "workspace_workflow",
"header": {
"description": "Test!"
},
"input": {},
"output": {},
"steps": [
{
"id": "p",
"op": "cate.ops.io.read_netcdf",
"input": {
"file": {
"value": "%s"
},
"drop_variables": {},
"decode_cf": {},
"decode_times": {},
"engine": {}
},
"output": {
"return": {}
}
},
{
"id": "ts",
"op": "cate.ops.timeseries.tseries_mean",
"input": {
"ds": {
"source": "p.return"
},
"var": {
"value": "precipitation"
},
"std_suffix": {},
"calculate_std": {}
},
"output": {
"return": {}
}
}
]
}
""" % NETCDF_TEST_FILE_1.replace('\\', '\\\\')
expected_json_dict = json.loads(expected_json_text)
ws = Workspace(
'/path',
Workflow(
OpMetaInfo('workspace_workflow',
header_dict=dict(description='Test!'))))
# print("wf_1: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
ws.set_resource('p', 'cate.ops.io.read_netcdf',
["file=%s" % NETCDF_TEST_FILE_1])
# print("wf_2: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
ws.set_resource('ts', 'cate.ops.timeseries.tseries_mean',
["ds=p", "var=precipitation"])
print("wf_3: " + json.dumps(ws.workflow.to_json_dict(), indent=' '))
self.assertEqual(ws.workflow.to_json_dict(), expected_json_dict)
with self.assertRaises(ValueError) as e:
ws.set_resource('ts2',
'cate.ops.timeseries.tseries_point',
["ds=p", "point=iih!", "var=precipitation"],
validate_args=True)
self.assertEqual(
str(e.exception),
"input 'point' for operation 'cate.ops.timeseries.tseries_point' "
"must be of type 'PointLike', but got type 'str'")