def validate(model_files):
"""
This command validates *.flow, *.data or *.type-files.
"""
flow_dsl.get_metamodel_flow() # activate/register meta model
for filename in model_files:
try:
print('validating flow/types/data dsl {}'.format(filename))
mm = MetaModelProvider.get_metamodel(None, filename)
mm.model_from_file(filename)
except BaseException as e:
print(' WARNING/ERROR: {}'.format(e))
def test_flow_dsl_types_validation():
import flow_dsl
mmF = flow_dsl.get_metamodel_flow()
current_dir = os.path.dirname(__file__)
with raises(textx.exceptions.TextXSyntaxError, match=r'.*lowercase.*'):
mmF.model_from_file(
os.path.join(current_dir, 'models',
'data_flow_including_error.flow'))
def test_flow_dsl_validation():
import flow_dsl
mmF = flow_dsl.get_metamodel_flow()
current_dir = os.path.dirname(__file__)
with raises(textx.exceptions.TextXSemanticError,
match=r'.*algo data types must match.*'):
mmF.model_from_file(
os.path.join(current_dir, 'models', 'data_flow_with_error.flow'))
def test_flow_dsl():
import flow_dsl
mmF = flow_dsl.get_metamodel_flow()
current_dir = os.path.dirname(__file__)
model = mmF.model_from_file(
os.path.join(current_dir, 'models', 'data_flow.flow'))
assert (model is not None)
assert (len(model.algos) == 2)
assert (len(model.flows) == 1)
def test_flow_dsl():
import flow_dsl
mmF = flow_dsl.get_metamodel_flow()
current_dir = os.path.dirname(__file__)
model = mmF.model_from_file(
os.path.join(current_dir, 'models', 'data_flow.flow'))
assert (model is not None)
import flow_codegen
txt = flow_codegen.codegen(model)
assert txt == """@startuml
def codegen_flow_pu(model_files):
"""
This command transforms *.flow-files to *.pu files (plantuml).
"""
mm_flow = get_metamodel_flow() # activate/register dsl
for filename in model_files:
try:
mm = MetaModelProvider.get_metamodel(None, filename)
if mm == mm_flow:
print('transforming {}'.format(filename))
m = mm.model_from_file(filename)
txt = flow_codegen.codegen(m)
with open(filename + ".pu", "w") as f:
f.write(txt)
else:
raise Exception(
"no code generator defined for metamodel {}".format(mm))
except BaseException as e:
print(' WARNING/ERROR: {}'.format(e))