def spe_composition_2_atom_scheme(data_dir):
"""
convert species grouped atom scheme, which refers to file named
"spe_composition.json" generated from cantera to a new file named
"atom_scheme_base.json"
"""
spe_comp = rwc.read_configuration(
os.path.join(data_dir, "input", "spe_composition.json"))
atom_scheme = {}
for _, s_1 in enumerate(spe_comp):
# print(s_1)
for atom_1 in spe_comp[s_1]:
if atom_1 not in atom_scheme:
atom_scheme[atom_1] = {str(s_1): spe_comp[s_1][atom_1]}
else:
atom_scheme[atom_1].update({str(s_1): spe_comp[s_1][atom_1]})
fn0 = os.path.join(data_dir, "input", "atom_scheme_base_backup.json")
fn1 = os.path.join(data_dir, "input", "atom_scheme_base.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
rwc.write_configuration(atom_scheme, fn1)
def update_basic_setting(data_dir, g_s):
"""
update settings.json, the basic information that's will not change for this system
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
setting['system']['condition'] = g_s['system']['condition']
setting['system']['initializer'] = g_s['system']['initializer']
setting['network']['merge_chatterings'] = g_s['network'][
'merge_chatterings']
setting['propagator']['primary_type'] = g_s['propagator']['primary_type']
setting['propagator']['type'] = g_s['propagator']['type']
setting['propagator']['sub_type'] = g_s['propagator']['sub_type']
setting['propagator'][
'convert_molar_concentration_to_mole_fraction'] = g_s['propagator'][
'convert_molar_concentration_to_mole_fraction']
setting['propagator']['normalize_initial_concentration'] = g_s[
'propagator']['normalize_initial_concentration']
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
def update_fast_reaction(data_dir, tau=0.7, end_t=1.0, tag="M"):
"""
update fast reaction based on reference trajectory
"""
fn0 = os.path.join(data_dir, "input", "reaction_info_base_backup.json")
fn1 = os.path.join(data_dir, "input", "reaction_info_base.json")
rxn_info = rwc.read_configuration(fn1)
time_v = np.loadtxt(os.path.join(data_dir, "output",
"time_dlsode_" + str(tag) + ".csv"),
delimiter=",")
rxn_rates = np.loadtxt(os.path.join(
data_dir, "output", "reaction_rate_dlsode_" + str(tag) + ".csv"),
delimiter=",")
actual_time = float(tau) * float(end_t)
for _, val in enumerate(rxn_info):
actual_rate = interpolation.interp1d(time_v, rxn_rates[:, int(val)],
actual_time)
if actual_rate != 0:
time_scale = np.log10(actual_rate)
if time_scale >= -100 and time_scale <= 100:
# print(time_scale)
rxn_info[val]["time_scale"] = time_scale
if os.path.isfile(fn1):
copy2(fn1, fn0)
rwc.write_configuration(rxn_info, fn1)
def spe_information_2_atom_scheme(data_dir):
"""
convert species information
"species_information.json" to a new file named
"atom_scheme_base.json"
"""
spe_comp = rwc.read_configuration(
os.path.join(data_dir, "input", "species_information.json"))
atom_scheme = {}
for _, spe_idx in enumerate(spe_comp):
s_1 = spe_comp[spe_idx]["name"]
for atom_1 in spe_comp[spe_idx]["spe_composition"]:
atom_number = spe_comp[spe_idx]["spe_composition"][atom_1]
if atom_number == "0":
continue
if atom_1 not in atom_scheme:
atom_scheme[atom_1] = {str(s_1): float(atom_number)}
else:
atom_scheme[atom_1].update({str(s_1): float(atom_number)})
fn0 = os.path.join(data_dir, "input", "atom_scheme_base_backup.json")
fn1 = os.path.join(data_dir, "input", "atom_scheme_base.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
rwc.write_configuration(atom_scheme, fn1)
def update_eval_path_AT_with_SP(data_dir,
top_n=5,
n_traj=10000,
tau=10.0,
begin_t=0.0,
end_t=1.0):
"""
update settings.json, primarily for evaluate pathway arrival time
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
setting['job']['job_type'] = "evaluate_path_AT_with_SP_over_time"
setting['pathway']['topN'] = [int(top_n)]
setting['pathway']['trajectoryNumber'] = int(n_traj)
setting['time']['tau'] = tau
setting['pathway']['begin_t'] = begin_t
setting['pathway']['end_t'] = end_t
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
def update_a_atom_entry(data_dir,
source_atoms=None,
entry_name="HA4",
number=1.0):
"""
update a atom entry based on atoms list
"""
if source_atoms is None or source_atoms is []:
return
f_n_as = os.path.join(data_dir, "input", "atom_scheme.json")
atom_scheme = rwc.read_configuration(f_n_as)
new_entry = {}
for atom in source_atoms:
if atom not in atom_scheme:
continue
for key in atom_scheme[atom]:
if key not in new_entry:
new_entry.update({key: number})
atom_scheme.update({entry_name: new_entry})
fn0 = os.path.join(data_dir, "input", "atom_scheme_base_backup.json")
fn1 = os.path.join(data_dir, "input", "atom_scheme_base.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
rwc.write_configuration(atom_scheme, fn1)
def atom_scheme_set_atom_number(data_dir, followed_atom="C", number=1.0):
"""
modify "atom_scheme_base.json", change atom number to number
"""
fn1 = os.path.join(data_dir, "input", "atom_scheme_base.json")
atom_scheme = rwc.read_configuration(fn1)
for key in atom_scheme[followed_atom]:
atom_scheme[followed_atom][key] = number
fn0 = os.path.join(data_dir, "input", "atom_scheme_base_backup.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
rwc.write_configuration(atom_scheme, fn1)
def initiate_fast_reaction(data_dir):
"""
intiate file named "reaction_info_base.json" based on file named "reaction_labelling.csv"
"""
new_old_index_dict, new_ind_reaction_dict = psri.parse_reaction_and_its_index(
data_dir)
rxn_pair_dict = dict()
# un-paired species
unpaired = dict()
for _, val1 in enumerate(new_old_index_dict):
# print(idx, val1, new_old_index_dict[val1])
this_value = int(new_old_index_dict[val1])
neg_value = -1 * this_value
if (neg_value in unpaired):
# print(int(val1), unpaired[neg_value])
rxn_pair_dict.update({int(val1): unpaired[neg_value]})
rxn_pair_dict.update({unpaired[neg_value]: int(val1)})
unpaired.pop(neg_value)
else:
unpaired.update({this_value: int(val1)})
rxn_info = {}
for _, val1 in enumerate(new_ind_reaction_dict):
entry = {
str(val1): {
"formula": new_ind_reaction_dict[val1],
# default value, 10^-100, assume the reaction is super slow
"time_scale": -100,
"reverse_reaction": "None"
}
}
if int(val1) in rxn_pair_dict:
entry[str(val1)]["reverse_reaction"] = \
str(rxn_pair_dict[int(val1)])
rxn_info.update(entry)
fn0 = os.path.join(data_dir, "input", "reaction_info_base_backup.json")
fn1 = os.path.join(data_dir, "input", "reaction_info_base.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
rwc.write_configuration(rxn_info, fn1)
def update_mc_trajectory_setting(data_dir,
n_traj=1000000,
atom_followed="C",
init_spe=114,
tau=10.0,
begin_t=0.0,
end_t=1.0,
species_path=False):
"""
update settings.json, primarily for generate_pathway_running_Monte_carlo_trajectory
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
chattering_spe = global_settings.get_chattering_species(
data_dir, atom_followed)
setting['pathway']['chattering_species'] = chattering_spe
setting['time']['tau'] = tau
setting['pathway']['trajectoryNumber'] = n_traj
setting['pathway']['atom_followed'] = atom_followed
setting['pathway']['init_spe'] = init_spe
setting['pathway']['begin_t'] = begin_t
setting['pathway']['end_t'] = end_t
if species_path is True:
setting['job'][
'job_type'] = "generate_species_pathway_running_Monte_carlo_trajectory"
else:
setting['job'][
'job_type'] = "generate_pathway_running_Monte_carlo_trajectory"
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
return
def update_basic_setting(data_dir, g_s):
"""
update settings.json, the basic information that's will not change for this system
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
setting['time']['max_time'] = g_s['traj_max_t']
setting['time']['critical_time'] = g_s['traj_critical_t']
setting['time']['tau'] = g_s['tau']
setting['system']['condition'] = g_s['system']['condition']
setting['system']['initializer'] = g_s['system']['initializer']
setting['network']['merge_chatterings'] = g_s['network'][
'merge_chatterings']
setting['network']['condense_chatterings'] = g_s['network'][
'condense_chatterings']
setting['propagator']['primary_type'] = g_s['propagator']['primary_type']
setting['propagator']['type'] = g_s['propagator']['type']
setting['propagator']['sub_type'] = g_s['propagator']['sub_type']
setting['propagator'][
'convert_molar_concentration_to_mole_fraction'] = g_s['propagator'][
'convert_molar_concentration_to_mole_fraction']
setting['propagator']['normalize_initial_concentration'] = g_s[
'propagator']['normalize_initial_concentration']
setting['pathway']['fixed_t0_or_tf'] = g_s['fixed_t0_or_tf']
setting['pathway']['not_allowed_out_species'] = g_s['network'][
'not_allowed_out_species']
setting['pathway']['spe_branching'] = g_s['network']['spe_branching']
setting['pathway']['terminal_sp'] = g_s['network']['terminal_sp']
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
def update_spe_concentration_at_time_w2f(data_dir, tau=10.0, end_t=1.0):
"""
update settings.json, primarily for update_spe_concentration_at_time_w2f
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
setting['job']['job_type'] = "write_concentration_at_time_to_file"
setting['time']['tau'] = tau
setting['pathway']['end_t'] = end_t
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
def update_dlsode_setting(data_dir, max_time=1.0, critical_time=0.9):
"""
update settings.json, primarily for dlsode run and pathway generating
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
setting['time']['critical_time'] = critical_time
setting['time']['max_time'] = max_time
setting['job']['job_type'] = "solve_ODEs_for_concentration_using_LSODE"
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
def update_eval_path_integral(data_dir,
top_n=5,
n_traj=10000,
atom_followed="C",
init_spe=114,
tau=10.0,
begin_t=0.0,
end_t=1.0,
species_path=False):
"""
update settings.json, primarily for evaluate path integral
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
chattering_spe = global_settings.get_chattering_species(
data_dir, atom_followed)
setting['pathway']['chattering_species'] = chattering_spe
if species_path is True:
setting['job']['job_type'] = "evaluate_species_path_integral_over_time"
else:
setting['job']['job_type'] = "evaluate_path_integral_over_time"
setting['pathway']['topN'] = [top_n]
setting['pathway']['trajectoryNumber'] = n_traj
setting['pathway']['atom_followed'] = atom_followed
setting['pathway']['init_spe'] = init_spe
setting['time']['tau'] = tau
setting['pathway']['begin_t'] = begin_t
setting['pathway']['end_t'] = end_t
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
def update_chattering_species_setting(data_dir, atom_followed="C"):
"""
update settings.json, primarily for chattering species and fast reactions
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
chattering_spe = global_settings.get_chattering_species(
data_dir, atom_followed)
setting['pathway']['chattering_species'] = chattering_spe
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
return
def fast_reaction_w2f(data_dir, threshold=-7):
"""
prepare "fast_reaction.json" file, this file will be
1) manually changed later
2) used to generate chattering information later
"""
fast_transition = {}
counter = 0
fn_rib = os.path.join(data_dir, "input", "reaction_info_base.json")
rxn_info = rwc.read_configuration(fn_rib)
# care fast reaction pair only, both forward and backward reactions are fast
unpaired_fast_rxn = set()
for _, val in enumerate(rxn_info):
if rxn_info[val]["reverse_reaction"] != "None" \
and float(rxn_info[val]["time_scale"]) >= threshold:
# print(rxn_info[val]["formula"])
this_rxn = str(val)
paired_rxn = rxn_info[val]["reverse_reaction"]
if paired_rxn not in unpaired_fast_rxn:
unpaired_fast_rxn.add(this_rxn)
else:
entry = {
str(counter): {
"formula1": rxn_info[paired_rxn]["formula"],
"formula2": rxn_info[this_rxn]["formula"],
"reaction1": int(paired_rxn),
"reaction2": int(this_rxn)
}
}
fast_transition.update(entry)
counter += 1
fn_frb0 = os.path.join(data_dir, "input", "fast_reaction_base_backup.json")
fn_frb1 = os.path.join(data_dir, "input", "fast_reaction_base.json")
if os.path.isfile(fn_frb1):
copy2(fn_frb1, fn_frb0)
rwc.write_configuration(fast_transition, fn_frb1)
def update_s_a_setting(data_dir,
init_temp=1000,
critical_temp=1100,
target_temp=1800,
end_temp=1900,
spe_idx_conc=None):
"""
update settings.json, primarily for sensitivity analysis
the last parameter represents "species index concentration", is a dict
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
setting['propagator']['primary_type'] = "not_from_file"
setting['propagator']['type'] = "dlsode"
setting['propagator']['sub_type'] = "temperature_propagator_cv_s2m_pgt"
setting['propagator']['normalize_initial_concentration'] = "no"
setting['job']['job_type'] = "evaluate_ignition_delay_time_once"
setting['chem_init']['init_temperature'] = init_temp
setting['T']['critical_temperature'] = critical_temp
setting['T']['target_temperature'] = target_temp
setting['T']['end_temperature'] = end_temp
if spe_idx_conc is not None:
setting['chem_init']['species_index_concentration'] = spe_idx_conc
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
def update_terminal_species_setting(data_dir, terminal_spe=None):
"""
update settings.json, primarily for terminal species
"""
# there will always be a current setting
fn0 = os.path.join(data_dir, "input", "setting_backup.json")
fn1 = os.path.join(data_dir, "input", "setting.json")
if os.path.isfile(fn1):
copy2(fn1, fn0)
setting = rwc.read_configuration(
os.path.join(data_dir, 'input', 'setting.json'))
t_s = []
if terminal_spe is not None and terminal_spe is not []:
for _, val in enumerate(terminal_spe):
t_s.append(val)
setting['pathway']['terminal_species'] = t_s
rwc.write_configuration(setting,
os.path.join(data_dir, 'input', 'setting.json'))
return
def generate_fast_rxn_chattering_spe(data_dir):
"""
generate fast reaction and chattering species based on four files
0) species_information.json
1) reaction_information.json
2) atom_scheme.json
3) fast_reaction_base.json
save file named "fast_transition.json", this file will be used to update file
"local_settings.py" manually
"""
f_n_si = os.path.join(data_dir, "input", "species_information.json")
f_n_ri = os.path.join(data_dir, "input", "reaction_information.json")
f_n_as = os.path.join(data_dir, "input", "atom_scheme.json")
f_n_frb = os.path.join(data_dir, "input", "fast_reaction_base.json")
spe_info = rwc.read_configuration(f_n_si)
rxn_info = rwc.read_configuration(f_n_ri)
atom_scheme = rwc.read_configuration(f_n_as)
fast_rxn_base = rwc.read_configuration(f_n_frb)
fast_transition = []
for _, val1 in enumerate(fast_rxn_base):
entry = {}
rxn_1_idx = fast_rxn_base[val1]["reaction1"]
rxn_2_idx = fast_rxn_base[val1]["reaction2"]
reactant1 = rxn_info[str(rxn_1_idx)]["net_reactant"]
reactant2 = rxn_info[str(rxn_2_idx)]["net_reactant"]
entry.update({"formula1": fast_rxn_base[val1]["formula1"]})
entry.update({"formula2": fast_rxn_base[val1]["formula2"]})
entry.update({"rxn": [int(rxn_1_idx), int(rxn_2_idx)]})
entry.update({"spe": {}})
s_1_idx = "None"
s_2_idx = "None"
for atom_followed in atom_scheme:
for _, val2 in enumerate(reactant1):
spe_idx = reactant1[val2]["species_index"]
spe_name = spe_info[spe_idx]["name"]
if spe_name in atom_scheme[atom_followed]:
s_1_idx = str(spe_idx)
# only one species allowed
break
for _, val2 in enumerate(reactant2):
spe_idx = reactant2[val2]["species_index"]
spe_name = spe_info[spe_idx]["name"]
if spe_name in atom_scheme[atom_followed]:
s_2_idx = str(spe_idx)
# only one species allowed
break
if s_1_idx != "None" and s_2_idx != "None":
entry["spe"].update(
{atom_followed: [int(s_1_idx), int(s_2_idx)]})
fast_transition.append(entry)
fn_ft0 = os.path.join(data_dir, "input", "fast_transition_backup.json")
fn_ft1 = os.path.join(data_dir, "input", "fast_transition.json")
if os.path.isfile(fn_ft1):
copy2(fn_ft1, fn_ft0)
rwc.write_configuration(fast_transition, fn_ft1)
