def explore(fpath):
_, ext = splitext(fpath)
ftype = 'data' if ext in ('.h5', '.hdf5') else 'simulation'
print("Using {} file: '{}'".format(ftype, fpath))
if ftype == 'data':
globals_def, entities = entities_from_h5(fpath)
simulation = Simulation(globals_def, None, None, None, None,
list(entities.values()), 'h5', fpath, None)
period, entity_name = None, None
else:
simulation = Simulation.from_yaml(fpath)
# use output as input
simulation.data_source = H5Source(simulation.data_sink.output_path)
period = simulation.start_period + simulation.periods - 1
entity_name = simulation.default_entity
dataset = simulation.load()
data_source = simulation.data_source
data_source.as_fake_output(dataset, simulation.entities_map)
data_sink = simulation.data_sink
entities = simulation.entities_map
if entity_name is None and len(entities) == 1:
entity_name = list(entities.keys())[0]
if period is None and entity_name is not None:
entity = entities[entity_name]
period = max(entity.output_index.keys())
eval_ctx = EvaluationContext(simulation, entities, dataset['globals'],
period, entity_name)
try:
c = Console(eval_ctx)
c.run()
finally:
data_source.close()
if data_sink is not None:
data_sink.close()
def test_liam2_demo_files():
liam2_demo_directory = os.path.join(
pkg_resources.get_distribution('liam2').location,
'..',
'tests',
'examples'
)
excluded_files = [
'demo_import.yml', # non working example
'demo02.yml', # TODO: pb with figures
]
yaml_files = [os.path.join(liam2_demo_directory, _file) for _file in os.listdir(liam2_demo_directory)
if os.path.isfile(os.path.join(liam2_demo_directory, _file))
and _file.endswith('.yml')
and _file not in excluded_files]
print yaml_files
for yaml_file in yaml_files:
print yaml_file
simulation = Simulation.from_yaml(
yaml_file,
input_dir = os.path.join(liam2_demo_directory),
# input_file = input_file,
output_dir = os.path.join(os.path.dirname(__file__), 'output'),
# output_file = output_file,
)
simulation.run(False)
def test(regenerate_hdf_file = False, test_case = False):
if regenerate_hdf_file:
tax_benefit_system = TaxBenefitSystem()
scenario = tax_benefit_system.new_scenario().init_single_entity(
period = 2014,
parent1 = dict(
age = 25,
salaire_imposable = 12000,
),
)
simulation = scenario.new_simulation()
dump(
simulation,
file_path = os.path.join(path_model, 'toto.h5'),
overwrite = True,
)
output_dir = os.path.join(os.path.dirname(__file__), 'output')
console_file = os.path.join(path_model, 'test_case' if test_case else '', 'console.yml')
simulation = Simulation.from_yaml(
console_file,
input_dir = None,
input_file = 'toto.h5',
output_dir = output_dir,
output_file = None,
)
# simulation.run(False)
return simulation
def run_file(test_file):
if 'import' in test_file:
csv2h5(test_file)
else:
# We should NOT override output_dir here because it breaks tests and examples which load back what they
# write (e.g. demo_load.yml)
simulation = Simulation.from_yaml(test_file, log_level='processes')
simulation.run()
def run_file(test_file):
if 'import' in test_file:
csv2h5(test_file)
else:
# We should NOT override output_dir here because it breaks tests and examples which load back what they
# write (e.g. demo_load.yml)
simulation = Simulation.from_yaml(test_file, log_level='processes')
simulation.run()
def test():
console_file = os.path.join(path_model, 'console.yml')
output_dir = os.path.join(path_til, 'output')
simulation = Simulation.from_yaml(
console_file,
input_dir = None,
input_file = None,
output_dir = output_dir,
output_file = None,
)
simulation.run(False)
def display(fpath):
print("Launching ViTables...")
if fpath:
_, ext = splitext(fpath)
if ext in ('.h5', '.hdf5'):
files = [fpath]
else:
simulation = Simulation.from_yaml(fpath)
files = [
simulation.data_source.input_path,
simulation.data_sink.output_path
]
print("Trying to open:", " and ".join(str(f) for f in files))
else:
files = []
viewhdf(files)
def simulate(args):
print("Using simulation file: '{}'".format(args.fpath))
simulation = Simulation.from_yaml(args.fpath,
input_dir=args.input_path,
input_file=args.input_file,
output_dir=args.output_path,
output_file=args.output_file,
start_period=args.startperiod,
periods=args.periods,
seed=args.seed,
skip_shows=args.skipshows,
skip_timings=args.skiptimings,
log_level=args.loglevel,
assertions=args.assertions,
autodump=args.autodump,
autodiff=args.autodiff)
simulation.run(args.interactive)
if action != 'sort':
if len(args) < 5 and action != 'sort':
print("link_fields argument must be provided if using an .h5 "
"input file")
entities = [entity.split(':') for entity in args[4].split(';')]
to_change = {ent_name: fields.split(',')
for ent_name, fields in entities}
# convert {ent_name: [target_ent1.fname1, target_ent2.fname2]}
# to {ent_name: [(target_ent1, fname1), (target_ent2, fname2)]}
for ent_name, fields in to_change.items():
for i, fname in enumerate(fields):
fields[i] = \
fname.split('.') if '.' in fname else (ent_name, fname)
else:
simulation = Simulation.from_yaml(inputpath)
inputpath = simulation.data_source.input_path
to_change = {entity.name: fields_from_entity(entity)
for entity in simulation.entities}
assert action in {'shrink', 'shuffle', 'sort'}
if action == 'shrink':
timed(change_ids, inputpath, outputpath, to_change)
elif action == 'shuffle':
timed(change_ids, inputpath, '_shuffled_temp.h5', to_change,
shuffle=True)
timed(h5_sort, '_shuffled_temp.h5', outputpath, list(to_change.keys()))
else:
ent_names = args[4].split(',') if len(args) >= 5 else None
timed(h5_sort, inputpath, outputpath, ent_names)