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replanning mode for random subsamples without cacheing #34

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4 changes: 2 additions & 2 deletions austin/configs/settings.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -40,12 +40,12 @@ mem_tick: 0
use_shadow_pricing: False

# sample size
households_sample_size: 10000
households_sample_size: 0

# multiprocessing controls
multiprocess: True
chunk_size: 5000000000
num_processes: 25
num_processes: 34
stagger: 0

# tracing
Expand Down
55 changes: 43 additions & 12 deletions austin/simulation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,10 +34,13 @@ def cleanup_output_files():
tracing.delete_output_files('prof')


def run(run_list, injectables=None, warm_start=False):
def run(run_list, injectables=None, warm_start=False, replanning=False):

initialization_steps = [
'initialize_landuse', 'compute_accessibility', 'initialize_households']
warm_start_steps = [
'school_location', 'workplace_location', 'auto_ownership_simulate']
replanning_steps = ['trip_mode_choice']

if run_list['multiprocess']:
if warm_start:
Expand All @@ -46,32 +49,44 @@ def run(run_list, injectables=None, warm_start=False):
run_list['multiprocess_steps'][2].update(
{'begin': 'write_tables', 'models': ['write_tables']})
logger.info("run multiprocess warm start simulation")
elif replanning:
run_list['multiprocess_steps'][1].update(
{'models': replanning_steps})
run_list['multiprocess_steps'][2].update({
'begin': 'generate_beam_plans',
'models': ['generate_beam_plans', 'write_tables']})
logger.info("run multiprocess warm start simulation")
else:
logger.info("run multiprocess simulation")
mp_tasks.run_multiprocess(run_list, injectables)

else:
if warm_start:
last_step_index = run_list['models'].index(warm_start_steps[-1])
init_and_warm_start_steps = run_list['models'][:last_step_index]
all_warm_start_steps = init_and_warm_start_steps + ['write_tables']
all_warm_start_steps = initialization_steps + warm_start_steps + [
'write_tables']
run_list.update({'models': all_warm_start_steps})
logger.info("run single process warm start simulation")
elif replanning:
all_replanning_steps = initialization_steps + replanning_steps + [
'generate_beam_plans', 'write_tables']
run_list.update({'models': all_replanning_steps})
logger.info("run single process warm start simulation")
else:
logger.info("run single process simulation")
pipeline.run(
models=run_list['models'], resume_after=run_list['resume_after'])
pipeline.close_pipeline()
chunk.log_write_hwm()



def log_settings():

settings = [
'households_sample_size',
'chunk_size',
'multiprocess',
'num_processes',
'resume_after',
'replanning',
]

for k in settings:
Expand All @@ -94,11 +109,14 @@ def log_settings():
"-c", "--chunk_size", action="store",
help="batch size for processing choosers")
parser.add_argument(
"-r", "--resume_after", action="store",
help="re-run activitysim starting after specified model step.")
"-r", "--replanning", action="store_true",
help="re-generate activity plans with partial asim run")
parser.add_argument(
"-k", "--skim_cache", action="store_true",
help="use skim cache. default is False.")
parser.add_argument(
"-s", "--random_seed", action="store",
help="global random seed")

args = parser.parse_args()

Expand All @@ -119,13 +137,26 @@ def log_settings():
if args.num_processes:
config.override_setting('chunk_size', int(args.chunk_size))

if args.resume_after:
config.override_setting('resume_after', args.resume_after)
replanning = args.replanning
if replanning:
data_dir = 'output'
input_tables = config.setting('input_table_list')
output_prefix = config.setting('output_tables')['prefix']
new_input_tables = []
for table_dict in input_tables:
table_dict['filename'] = output_prefix + table_dict['filename']
new_input_tables.append(table_dict)
config.override_setting('input_table_list', new_input_tables)
else:
data_dir = 'data'

if args.random_seed:
config.override_setting('rng_base_seed', int(args.random_seed))

config.override_setting('read_skim_cache', args.skim_cache)

injectables = ['data_dir', 'configs_dir', 'output_dir']
inject.add_injectable('data_dir', 'data')
inject.add_injectable('data_dir', data_dir)
inject.add_injectable('configs_dir', ['configs', 'configs/configs'])

# injectables = config.handle_standard_args()
Expand Down Expand Up @@ -154,7 +185,7 @@ def log_settings():
else:
injectables = None

run(run_list, injectables, warm_start=warm_start)
run(run_list, injectables, warm_start, replanning)

# pipeline will be closed after run if multiprocessing
# if you want access to tables, BE SURE TO OPEN
Expand Down