Source code for ecoli.experiments.metabolism_redux_sim

"""
==================================
Metabolism using user-friendly FBA
==================================
"""

import argparse

# vivarium-core imports
import pytest

# vivarium-ecoli imports
from ecoli.experiments.ecoli_master_sim import EcoliSim, CONFIG_DIR_PATH
from ecoli.library.json_state import get_state_from_file


import numpy as np
import pathlib
import datetime
import dill


[docs] def run_ecoli_with_metabolism_redux( filename="metabolism_redux", total_time=5000, divide=True, initial_state_file="wcecoli_t0", progress_bar=True, log_updates=False, emitter="timeseries", name="metabolism-redux", raw_output=False, save=False, # save_times=4, ): # filename = 'default' sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + ".json") sim.total_time = total_time sim.divide = divide sim.progress_bar = progress_bar sim.log_updates = log_updates sim.emitter = emitter sim.initial_state = get_state_from_file(path=f"data/{initial_state_file}.json") sim.raw_output = raw_output sim.save = save sim.build_ecoli() sim.run() query = [] folder = f"out/fbagd/{name}_{total_time}_{datetime.date.today()}/" save_sim_output(folder, query, sim, save_model=True)
# disables growth rate control
[docs] def run_ecoli_with_metabolism_redux_classic( filename="metabolism_redux_classic", total_time=10, divide=True, # initial_state_file='wcecoli_t0', # 'met_division_test_state', progress_bar=True, log_updates=False, emitter="timeseries", # 'timeseries', name="convex_kinetics_minimal", raw_output=False, save=True, save_times=[1, 10], condition="basal", # basal, with_aa fixed_media="minimal", # minimal, minimal_plus_amino_acids ): # filename = 'default' sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + ".json") sim.total_time = total_time sim.divide = divide sim.progress_bar = progress_bar sim.log_updates = log_updates sim.emitter = emitter # sim.initial_state = get_state_from_file(path=f'data/{initial_state_file}.json') sim.raw_output = raw_output sim.save = save sim.save_times = save_times sim.condition = condition sim.fixed_media = fixed_media sim.seed = 12 # # simplify working with uptake # sim.initial_state['environment']['exchange_data']['constrained'] = {} # sim.initial_state['environment']['exchange_data']['unconstrained'].add('GLC[p]') # # # in sim.initial_state['environment']['exchange_data']['unconstrained'], edit the set of molecules to be exchanged # sim.initial_state['environment']['exchange_data']['unconstrained'].remove('GLC[p]') # sim.initial_state['environment']['exchange_data']['unconstrained'].add('FRU[p]') # this means that sims will not create conflicting random indices when loading from saved state # if initial_state_file == 'wcecoli_t0': # sim.seed += 1 # else: # sim.seed += int(sim.initial_state['agents']['0']['global_time']) sim.build_ecoli() sim.run() query = [] folder = f"out/cofactors/{name}_{total_time}_{datetime.date.today()}/" save_sim_output(folder, query, sim, save_model=True)
[docs] def run_colony( filename="metabolism_redux_classic", total_time=1400, divide=True, # initial_state_file='wcecoli_t0', # 'met_division_test_state', progress_bar=True, log_updates=False, emitter="timeseries", # 'timeseries', name="metabolism-redux-classic-rich", raw_output=False, save=True, save_times=[1, 200, 400, 1300], condition="with_aa", # basal, with_aa fixed_media="minimal_plus_amino_acids", # minimal, minimal_plus_amino_acids ): # filename = 'default' sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + ".json") sim.total_time = total_time sim.divide = divide sim.progress_bar = progress_bar sim.log_updates = log_updates sim.emitter = emitter # sim.initial_state = get_state_from_file(path=f'data/{initial_state_file}.json') sim.raw_output = raw_output sim.save = save sim.save_times = save_times sim.condition = condition sim.fixed_media = fixed_media for seed in [i for i in range(4, 9, 1)]: sim.seed = seed sim.build_ecoli() sim.run() query = [] folder = f"out/cofactors/rich-{seed}/" save_sim_output(folder, query, sim, save_model=False)
@pytest.mark.slow def test_ecoli_with_metabolism_redux( filename="metabolism_redux", total_time=4, divide=False, progress_bar=True, log_updates=False, emitter="timeseries", ): sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + ".json") sim.total_time = total_time sim.divide = divide sim.progress_bar = progress_bar sim.log_updates = log_updates sim.emitter = emitter sim.build_ecoli() # run simulation and add asserts to output sim.run() @pytest.mark.slow def test_ecoli_with_metabolism_redux_div( filename="metabolism_redux", total_time=4, divide=True, emitter="timeseries", ): # TODO (Cyrus) - Add test that affirms structure of output query. sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + ".json") sim.total_time = total_time sim.divide = divide sim.emitter = emitter sim.build_ecoli() sim.run() query = [] agents = sim.query()["agents"].keys() for agent in agents: query.extend( [ ("agents", agent, "listeners", "fba_results"), ("agents", agent, "listeners", "mass"), ("agents", agent, "bulk"), ] ) output = sim.query(query) # test that water is being used (model is running) assert ( sum( output["agents"][agent]["listeners"]["fba_results"][ "estimated_exchange_dmdt" ]["WATER"] ) != 0 ) @pytest.mark.slow def test_ecoli_with_metabolism_classic( filename="metabolism_redux_classic", total_time=4, divide=False, progress_bar=True, log_updates=False, emitter="timeseries", ): sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + ".json") sim.total_time = total_time sim.divide = divide sim.progress_bar = progress_bar sim.log_updates = log_updates sim.emitter = emitter sim.build_ecoli() # run simulation and add asserts to output sim.run() # @pytest.mark.slow # def test_ecoli_with_metabolism_classic_div( # filename='metabolism_redux_classic', # total_time=10, # divide=True, # emitter='timeseries', # initial_state_file='met_division_test_state', # ): # # TODO (Cyrus) - Add test that affirms structure of output query. # sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json') # sim.total_time = total_time # sim.initial_state = get_state_from_file(path=f'data/{initial_state_file}.json') # # sim.divide = divide # sim.emitter = emitter # # # this means that sims will not create conflicting random indices # sim.seed += int(sim.initial_state['agents']['0']['global_time']) # # sim.build_ecoli() # # sim.run() # # # assert division occured # assert len(sim.query()['agents']) == 3, "Cell did not divide in metabolism division test"
[docs] def run_ecoli_with_default_metabolism( filename="default", total_time=10, divide=False, progress_bar=True, log_updates=False, emitter="timeseries", ): sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + ".json") sim.total_time = total_time sim.divide = divide sim.progress_bar = progress_bar sim.log_updates = log_updates sim.emitter = emitter sim.build_ecoli() sim.run() # output = sim.query() output = sim.ecoli_experiment.emitter.get_timeseries() folder = f"out/fbagd/{total_time}/{datetime.datetime.now()}/" pathlib.Path(folder).mkdir(parents=True, exist_ok=True) np.save(folder + "fba_results.npy", output["listeners"]["fba_results"]) np.save(folder + "mass.npy", output["listeners"]["mass"]) np.save(folder + "bulk.npy", output["bulk"]) np.save( folder + "stoichiometry.npy", sim.ecoli_experiment.steps["ecoli-metabolism"].model.stoichiometry, )
experiment_library = { "2": run_ecoli_with_metabolism_redux, "2a": run_ecoli_with_metabolism_redux_classic, "2b": run_colony, "3": test_ecoli_with_metabolism_redux, "3a": test_ecoli_with_metabolism_classic, "4": test_ecoli_with_metabolism_redux_div, "5": run_ecoli_with_default_metabolism, }
[docs] def save_sim_output(folder, query, sim, save_model=False): agents = sim.query()["agents"].keys() for agent in agents: query = [] query.extend( [ ("agents", agent, "listeners", "fba_results"), ("agents", agent, "listeners", "mass"), ("agents", agent, "listeners", "unique_molecule_counts"), ("agents", agent, "bulk"), ] ) output = sim.query(query) pathlib.Path(folder).mkdir(parents=True, exist_ok=True) np.save(folder + f"{agent}_output.npy", output) if save_model: f = open(folder + "agent_steps.pkl", "wb") dill.dump(sim.ecoli_experiment.steps["agents"][agent], f) f.close()
# run experiments with command line arguments: python ecoli/experiments/metabolism_redux_sim.py -n exp_id if __name__ == "__main__": parser = argparse.ArgumentParser(description="user-friendly metabolism") parser.add_argument("--name", "-n", default=[], nargs="+", help="test ids to run") args = parser.parse_args() run_all = not args.name for name in args.name: experiment_library[name]() if run_all: for name, test in experiment_library.items(): test()