Datasets:

ComplexMultiphaseFlows
/

LIDE

"""
This script generates input files for ALPACA simulations of LIDE by varying key parameters using a Sobol sequence for sampling.
Change the parameters in the 'param_bounds' array to modify the ranges for high pressure, low pressure, laser width, and droplet radii.
First creates a set of .xml input files using "create_alpaca_input" function, then runs ALPACA on each generated input file using "run_alpaca" function.
For this change the number of simualtions and paths at the end of the script.
Keep the default.xml file in the same directory as this script as the code overwrites it to create new input files.
"""



import os
import subprocess
import logging
import time
import math
import html
import re
from scipy.stats.qmc import Sobol, scale
from scipy.stats import qmc
import xmltodict
import numpy as np
import warnings


def run_alpaca(
        xml_file,
        output_dir: str = None,
        mpiexec_path: str = None,
        exec_file_path: str = None,
        num_workers: int = 10,
):
    """
    Runs ALPACA with different parameters in .xml file. 
    Args:
        xml_file (str): Path to the input .xml file to be processed.
        mpiexec_path (str): Path to the mpiexec executable. Find using command "which mpiexec" in terminal.
        exec_file_path (str): Path to the ALPACA executable file. Default is "./build/ALPACA".
        num_workers (int): Number of cpu workers for parallel processing.
        output_dir (str): Directory where output files will be saved. 
    """

     # Setup logging
    logging.basicConfig(
    filename=os.path.join(str(output_dir), 'data_generator.log'),
    level=logging.INFO,
    format='%(asctime)s [%(levelname)s] %(message)s'
    )

    # Check for executable ALAPACA location in command
    command = [str(mpiexec_path), "-n", str(num_workers), str(exec_file_path), str(xml_file), str(output_dir)]


    logging.info(f"Starting: {' '.join(command)}")
    start_time = time.time()
    result = subprocess.run(command, capture_output=True, text=True)
    end_time = time.time()

    elapsed = end_time - start_time
    length = math.ceil(elapsed / 60)


    if result.returncode == 0:
        logging.info(f"Completed {xml_file} successfully in {length:.2f} minutes; [{elapsed:.2f} seconds.]")
        logging.debug(f"Output:\n{result.stdout}")
    else:
        logging.error(f"ALPACA failed on {xml_file} with return code {result.returncode}")
        logging.error(f"stderr:\n{result.stderr}")

def round_sig(x, sig=5):
    return float(f"{x:.{sig}g}")

def create_alpaca_input(
        count: int,
        base_path: str ,
        output_path: str 
):
    
    """
    Generates a set of ALPACA input files with varying parameters for high pressure, low pressure, laser width, and the two radii of the droplet.
    Args:
        count (int): Number of samples to generate.
        base_path (str): Path to the base .xml file that will be modified.
        output_path (str): Directory where the generated .xml files will be saved. Create the directory if it does not exist.
    """

    warnings.warn(f"[WARNING] Make sure the default base_input file {base_path} exists and untouched !!!.")
    

   # Define the parameters
    param_bounds = np.array([
        [1e10, 8e10],       # high_pressure
        [1e5, 1e6],        # low_pressure
        [2e-7, 15e-7],     # laser_width
        [1e-5, 1.6e-5],    #drop_radius_1
        [1e-5, 1.6e-5]     #drop_radius_2
    ])

    n_samples = count
    n_dims = param_bounds.shape[0]

    sampler = qmc.Sobol(d=n_dims, scramble=True, seed=10)
    samples_unit = sampler.random(n=n_samples)

    params = qmc.scale(samples_unit, param_bounds[:, 0], param_bounds[:, 1]) #[N, D] = [128, 5] 
    params = np.vectorize(round_sig)(params, sig=5)

    width = params[:, 2] + 0.15e-6
    

    # Modify default.xml file
    for i in range(n_samples):
        
        with open(base_path) as f:
            data = xmltodict.parse(f.read())


        # Air
        air_0 = data["configuration"]["domain"]["initialConditions"]["material1"]

        air_1 = air_0.replace("0.35e-6", f"{width[i]}")
        air_2 = air_1.replace("1e-5", f"{params[i, 4]}")
        air_3 = air_2.replace("pressure := 10e9;", f"pressure := {params[i, 0]};")

        match = re.search(r'else\s*{(.*?)}', air_0, flags=re.DOTALL)
        else_block = match.group(1)
        modified_else = re.sub(
                r'pressure\s*:=\s*1e5;',
                f'pressure := {params[i, 1]};',
                match.group(1)
            )
        air_4 = air_3.replace(else_block, modified_else)

        data["configuration"]["domain"]["initialConditions"]["material1"] = air_4

        # Water
        water_0 = data["configuration"]["domain"]["initialConditions"]["material2"]
        water_1 = water_0.replace("pressure := 1e5;", f"pressure := {params[i, 1]};")
        data["configuration"]["domain"]["initialConditions"]["material2"] = water_1


        # Interface
        geometry_list = data["configuration"]["domain"]["initialConditions"]["interface1"]["levelset"]["data"]
        # print(geometry_list)
        for geo in geometry_list:
            func = geo["function"].strip()

            if func == "Cylinder":
                geo["outerRadius"] = f"{params[i, 2]}" 

            if func == "Ellipsoid":
                geo["semiAxis"] = f"{params[i, 3]}, {params[i, 4]}, 1e-5"



        formatted_params = ["{:.4e}".format(params[i, j]) for j in range(params.shape[1])]


        with open(output_path+ f"/hp{formatted_params[0]}_lp{formatted_params[1]}_laser{formatted_params[2]}_dropradx{formatted_params[3]}_droprady{formatted_params[4]}.xml", 'w') as f:
            f.write(xmltodict.unparse(data, pretty=True))


count = 2 # Number of samples to generate. keep it multiple of 2 for Sobol sequence
inputs_output_path = "."
data_output_path = "."


create_alpaca_input(count=count, 
                    base_path="./default.xml", 
                    output_path=inputs_output_path)


inputs = []
for file in os.listdir(inputs_output_path):
    if file.endswith(".xml"):
        inputs.append(os.path.join(".", file))
        run_alpaca(xml_file=os.path.join(str(inputs_output_path), str(inputs[-1])), 
                   output_dir=str(data_output_path),
                   mpiexec_path="mpiexec",
                   exec_file_path="./build/ALPACA",
                   num_workers=10)

	"""
	This script generates input files for ALPACA simulations of LIDE by varying key parameters using a Sobol sequence for sampling.
	Change the parameters in the 'param_bounds' array to modify the ranges for high pressure, low pressure, laser width, and droplet radii.
	First creates a set of .xml input files using "create_alpaca_input" function, then runs ALPACA on each generated input file using "run_alpaca" function.
	For this change the number of simualtions and paths at the end of the script.
	Keep the default.xml file in the same directory as this script as the code overwrites it to create new input files.
	"""



	import os
	import subprocess
	import logging
	import time
	import math
	import html
	import re
	from scipy.stats.qmc import Sobol, scale
	from scipy.stats import qmc
	import xmltodict
	import numpy as np
	import warnings


	def run_alpaca(
	xml_file,
	output_dir: str = None,
	mpiexec_path: str = None,
	exec_file_path: str = None,
	num_workers: int = 10,
	):
	"""
	Runs ALPACA with different parameters in .xml file.

	Args:
	xml_file (str): Path to the input .xml file to be processed.
	mpiexec_path (str): Path to the mpiexec executable. Find using command "which mpiexec" in terminal.
	exec_file_path (str): Path to the ALPACA executable file. Default is "./build/ALPACA".
	num_workers (int): Number of cpu workers for parallel processing.
	output_dir (str): Directory where output files will be saved.
	"""

	# Setup logging
	logging.basicConfig(
	filename=os.path.join(str(output_dir), 'data_generator.log'),
	level=logging.INFO,
	format='%(asctime)s [%(levelname)s] %(message)s'
	)

	# Check for executable ALAPACA location in command
	command = [str(mpiexec_path), "-n", str(num_workers), str(exec_file_path), str(xml_file), str(output_dir)]


	logging.info(f"Starting: {' '.join(command)}")
	start_time = time.time()
	result = subprocess.run(command, capture_output=True, text=True)
	end_time = time.time()

	elapsed = end_time - start_time
	length = math.ceil(elapsed / 60)


	if result.returncode == 0:
	logging.info(f"Completed {xml_file} successfully in {length:.2f} minutes; [{elapsed:.2f} seconds.]")
	logging.debug(f"Output:\n{result.stdout}")
	else:
	logging.error(f"ALPACA failed on {xml_file} with return code {result.returncode}")
	logging.error(f"stderr:\n{result.stderr}")

	def round_sig(x, sig=5):
	return float(f"{x:.{sig}g}")

	def create_alpaca_input(
	count: int,
	base_path: str ,
	output_path: str
	):

	"""
	Generates a set of ALPACA input files with varying parameters for high pressure, low pressure, laser width, and the two radii of the droplet.

	Args:
	count (int): Number of samples to generate.
	base_path (str): Path to the base .xml file that will be modified.
	output_path (str): Directory where the generated .xml files will be saved. Create the directory if it does not exist.
	"""

	warnings.warn(f"[WARNING] Make sure the default base_input file {base_path} exists and untouched !!!.")


	# Define the parameters
	param_bounds = np.array([
	[1e10, 8e10], # high_pressure
	[1e5, 1e6], # low_pressure
	[2e-7, 15e-7], # laser_width
	[1e-5, 1.6e-5], #drop_radius_1
	[1e-5, 1.6e-5] #drop_radius_2
	])

	n_samples = count
	n_dims = param_bounds.shape[0]

	sampler = qmc.Sobol(d=n_dims, scramble=True, seed=10)
	samples_unit = sampler.random(n=n_samples)

	params = qmc.scale(samples_unit, param_bounds[:, 0], param_bounds[:, 1]) #[N, D] = [128, 5]
	params = np.vectorize(round_sig)(params, sig=5)

	width = params[:, 2] + 0.15e-6


	# Modify default.xml file
	for i in range(n_samples):

	with open(base_path) as f:
	data = xmltodict.parse(f.read())


	# Air
	air_0 = data["configuration"]["domain"]["initialConditions"]["material1"]

	air_1 = air_0.replace("0.35e-6", f"{width[i]}")
	air_2 = air_1.replace("1e-5", f"{params[i, 4]}")
	air_3 = air_2.replace("pressure := 10e9;", f"pressure := {params[i, 0]};")

	match = re.search(r'else\s{(.?)}', air_0, flags=re.DOTALL)
	else_block = match.group(1)
	modified_else = re.sub(
	r'pressure\s:=\s1e5;',
	f'pressure := {params[i, 1]};',
	match.group(1)
	)
	air_4 = air_3.replace(else_block, modified_else)

	data["configuration"]["domain"]["initialConditions"]["material1"] = air_4

	# Water
	water_0 = data["configuration"]["domain"]["initialConditions"]["material2"]
	water_1 = water_0.replace("pressure := 1e5;", f"pressure := {params[i, 1]};")
	data["configuration"]["domain"]["initialConditions"]["material2"] = water_1


	# Interface
	geometry_list = data["configuration"]["domain"]["initialConditions"]["interface1"]["levelset"]["data"]
	# print(geometry_list)
	for geo in geometry_list:
	func = geo["function"].strip()

	if func == "Cylinder":
	geo["outerRadius"] = f"{params[i, 2]}"

	if func == "Ellipsoid":
	geo["semiAxis"] = f"{params[i, 3]}, {params[i, 4]}, 1e-5"



	formatted_params = ["{:.4e}".format(params[i, j]) for j in range(params.shape[1])]


	with open(output_path+ f"/hp{formatted_params[0]}_lp{formatted_params[1]}_laser{formatted_params[2]}_dropradx{formatted_params[3]}_droprady{formatted_params[4]}.xml", 'w') as f:
	f.write(xmltodict.unparse(data, pretty=True))


	count = 2 # Number of samples to generate. keep it multiple of 2 for Sobol sequence
	inputs_output_path = "."
	data_output_path = "."


	create_alpaca_input(count=count,
	base_path="./default.xml",
	output_path=inputs_output_path)


	inputs = []
	for file in os.listdir(inputs_output_path):
	if file.endswith(".xml"):
	inputs.append(os.path.join(".", file))
	run_alpaca(xml_file=os.path.join(str(inputs_output_path), str(inputs[-1])),
	output_dir=str(data_output_path),
	mpiexec_path="mpiexec",
	exec_file_path="./build/ALPACA",
	num_workers=10)