def main():
# Setup the logger.
if not os.path.isdir('log'):
os.mkdir('log')
log = pym.instantiate_logger(os.path.join('log', 'PET_debug.log'))
# Read and log options from command line.
(options, args) = parser.parse_args()
driver_name = options.driver
validation_driver = options.validation_driver
log.info('driver : {}, validation_driver[optional] : {}'.format(driver_name, validation_driver))
# Import driver and exception class.
driver = __import__(driver_name)
# Run the driver.
try:
driver.main()
if validation_driver:
log.info(' ---====== Starting Surrogate Validation ======---')
__import__(validation_driver).main()
pym.check_for_invalid_numbers()
pym.update_analysis_status('OK')
except TestBenchExecutionError as err:
_exit_on_failure(err.message)
def execute_test_bench(modelica_tool, report_file):
"""
Reads in parameters from sumary.testresults.json and simulates the
test bench. When done, writes metrics to sumary.testresults.json
Can raise ModelicaError
"""
log = logging.getLogger()
# Read in parameters
parameters = pym.get_parameters_from_report_json(report_file)
log.info('Parameters : {0}'.format(parameters))
if parameters:
modelica_tool.change_parameter(parameters)
# Simulate model
modelica_tool.simulate_model()
t_1 = time.time()
# TODO: uncomment the line once META-1226 is complete
## pym.update_metrics_and_check_limits(modelica_tool.result_mat, 'model_config.json')
t_mat = time.time() - t_1
# Run PostProcessing scripts
try:
t_post = pym.run_post_scripts(modelica_tool.result_mat, log)
except subprocess.CalledProcessError as err:
raise pym.ModelicaError('Post-script execution returned with error.',
err.returncode)
pym.update_analysis_status(new_status="OK", report_file=report_file)
return t_mat, t_post
def main():
# Setup the logger.
if not os.path.isdir('log'):
os.mkdir('log')
log = pym.instantiate_logger(os.path.join('log', 'PET_debug.log'))
# Read and log options from command line.
(options, args) = parser.parse_args()
driver_name = options.driver
validation_driver = options.validation_driver
log.info('driver : {}, validation_driver[optional] : {}'.format(driver_name, validation_driver))
# Import driver and exception class.
driver = __import__(driver_name)
# Run the driver.
try:
driver.main()
if validation_driver:
log.info(' ---====== Starting Surrogate Validation ======---')
__import__(validation_driver).main()
pym.check_for_invalid_numbers()
pym.update_analysis_status('OK')
except TestBenchExecutionError as err:
_exit_on_failure(err.message)
def execute_test_bench(modelica_tool, report_file):
"""
Reads in parameters from sumary.testresults.json and simulates the
test bench. When done, writes metrics to sumary.testresults.json
Can raise ModelicaError
"""
log = logging.getLogger()
# Read in parameters
parameters = pym.get_parameters_from_report_json(report_file)
log.info('Parameters : {0}'.format(parameters))
if parameters:
modelica_tool.change_parameter(parameters)
# Simulate model
modelica_tool.simulate_model()
t_1 = time.time()
# TODO: uncomment the line once META-1226 is complete
## pym.update_metrics_and_check_limits(modelica_tool.result_mat, 'model_config.json')
t_mat = time.time() - t_1
# Run PostProcessing scripts
try:
t_post = pym.run_post_scripts(modelica_tool.result_mat, log)
except subprocess.CalledProcessError as err:
raise pym.ModelicaError('Post-script execution returned with error.',
err.returncode)
pym.update_analysis_status(new_status="OK", report_file=report_file)
return t_mat, t_post
def main():
if not os.path.isdir('log'):
os.mkdir('log')
pym.instantiate_logger(os.path.join('log', 'CAD_PET.log'))
(options, args) = parser.parse_args()
driver_name = options.driver
driver = __import__(driver_name)
try:
driver.main()
except CADException as e:
_exit_on_failure(e.message)
pym.check_for_invalid_numbers()
pym.update_analysis_status('OK')
def main():
if not os.path.isdir("log"):
os.mkdir("log")
pym.instantiate_logger(os.path.join("log", "CAD_PET.log"))
(options, args) = parser.parse_args()
driver_name = options.driver
driver = __import__(driver_name)
try:
driver.main()
except CADException as e:
_exit_on_failure(e.message)
pym.check_for_invalid_numbers()
pym.update_analysis_status("OK")
def execute_test_bench(modelica_tool, report_file):
"""
Reads in parameters from testbench_manifest.json and simulates the
test bench. When done, writes metrics to testbench_manifest.json
Can raise ModelicaError
"""
cur_dir = os.getcwd()
log = logging.getLogger()
log.debug('inside simulate.py : execute_test_bench, cwd = {0}'.format(cur_dir))
# Read in parameters
parameters = pym.get_parameters_from_report_json(report_file)
log.info('Parameters : {0}'.format(parameters))
if parameters:
modelica_tool.change_parameter(parameters)
# Simulate model
modelica_tool.simulate_model()
t_1 = time.time()
# TODO: uncomment the line once META-1226 is complete
## pym.update_metrics_and_check_limits(modelica_tool.result_mat, 'model_config.json')
t_mat = time.time() - t_1
# Run PostProcessing scripts
# Look for this file after post-processing script ran and delete it when starting a new run.
# META-2909 and META-2784
pp_failed = os.path.abspath(os.path.join(cur_dir, '..', '_POST_PROCESSING_FAILED.txt'))
if os.path.isfile(pp_failed):
log.info('Found {0} from previous run, deleting it...'.format(pp_failed))
os.remove(pp_failed)
exception = None
try:
t_post = pym.run_post_scripts(modelica_tool.result_mat, log)
except subprocess.CalledProcessError as err:
exception = err
finally:
pp_output = ''
if exception:
pp_output = 'Post-script execution returned with error. : {0}'.format(err.returncode)
if os.path.isfile(pp_failed):
with open(pp_failed, 'r') as f_in:
pp_output = '{0}\n POST_PROCESSING_FAILED :\n {1}'.format(pp_output, f_in.read())
if pp_output:
raise pym.ModelicaError(pp_output)
pym.update_analysis_status(new_status="OK", report_file=report_file)
return t_mat, t_post
def _exit_on_failure(error_message):
""" Function for exiting after a failure.
"""
os.chdir(ROOT_DIR)
print error_message
import traceback
with open('_FAILED.txt', 'wb') as f_out:
f_out.writelines(error_message)
f_out.writelines(traceback.format_exc())
pym.update_analysis_status('FAILED', error_message)
log = logging.getLogger()
log.error(error_message)
log.error("Exception was raised : {0}".format(traceback.format_exc()))
sys.exit(1)
def _exit_on_failure(error_message):
""" Function for exiting after a failure.
"""
os.chdir(ROOT_DIR)
import traceback
with open('_FAILED.txt', 'wb') as f_out:
f_out.writelines(error_message)
f_out.writelines(traceback.format_exc())
f_out.writelines('See log/PET_debug.log for more info.')
pym.update_analysis_status('FAILED', error_message)
log = logging.getLogger()
log.error(error_message)
log.error("Exception was raised : {0}".format(traceback.format_exc()))
sys.exit(1)
def _exit_on_failure(error_message):
""" Function for exiting after a failure.
"""
os.chdir(ROOT_DIR)
print error_message
import traceback
with open("_FAILED.txt", "wb") as f_out:
f_out.writelines(error_message)
f_out.writelines(traceback.format_exc())
pym.update_analysis_status("FAILED", error_message)
log = logging.getLogger()
log.error(error_message)
log.error("Exception was raised : {0}".format(traceback.format_exc()))
sys.exit(1)
def _exit_on_failure(error_message):
""" Function for exiting after a failure.
"""
os.chdir(ROOT_DIR)
print error_message
import traceback
the_trace = traceback.format_exc()
#traceback.print_exc(file=sys.stderr)
with open('_FAILED.txt', 'wb') as f_out:
f_out.writelines(error_message)
f_out.writelines(traceback.format_exc())
pym.update_analysis_status('FAILED', error_message, 'testbench_manifest.json')
log = logging.getLogger()
log.error(error_message)
log.error("Exception was raised : {0}".format(traceback.format_exc()))
sys.exit(1)
