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analyse_all_scenario.py
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analyse_all_scenario.py
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import os
import os.path
import json
import time
# List to hold different scenario size
size = [5, 10, 15, 20]
# List to hold number of users in each scenario
users = [5, 20, 45, 80]
# Range of UAV to UAV communication
min_communication_threshold = 1
max_communication_threshold = 15
UAV_to_UAV_threshold = [str(i)+'.'+str(j)+''+str(k) for i in range(min_communication_threshold,
max_communication_threshold) for j in range(0, 10) for k in range(0, 10)]
# Maximum number of iteration
max_iter = 1
def update_log_file(threshold, sd_user_dist, curr_user_served, curr_UAV_used, similarity_percentage, N):
"""
Function: update_log_file\n
Parameters: therhold -> threshold of the UAV to UAV communication, sd_user_dist -> standard deviation of user distances, curr_user_served -> user served with current UAVs, curr_UAV_used -> Number of UAVs used to serve users, similarity_percentage -> Similarity percentage of UAV graph, N -> Grid Size\n
Functionality: Appends new data to the log file\n
"""
parent_dir = os.getcwd()
dir_name = 'analysis_output_files'
final_log_file = 'scenario_analysis.log'
lines_to_write = []
lines_to_write.append(
f'# Area Size: {N} X {N}\n# UAV used: {curr_UAV_used}\n# User covered: {curr_user_served}\n# Edge Similarity Percentage: {similarity_percentage}\n# Standard Deviation of user location: {sd_user_dist}\n# UAV Communication Threshold: {threshold}\n')
with open(os.path.join(parent_dir, dir_name, final_log_file), 'a') as file_pointer:
file_pointer.writelines(lines_to_write)
def list_file_data():
"""
Function: list_file_data\n
Parameters: None\n
Return: list of data in analysis.log file\n
"""
epsilon = 0.0
learning_rate = 0.0
decay_factor = 0.0
with open('input_files/scenario_input.json', 'r') as file_pointer:
file_data = json.load(file_pointer)
epsilon = file_data['epsilon']
learning_rate = file_data['learning_rate']
decay_factor = file_data['decay_factor']
parent_dir = './output_files'
curr_dir = str(epsilon) + "_" + str(learning_rate) + \
"_" + str(decay_factor)
dir_path = os.path.join(parent_dir, curr_dir)
file_name = 'analysis.log'
file_path = os.path.join(dir_path, file_name)
with open(file_path, 'r') as file_pointer:
lines = file_pointer.readlines()
return lines
def check_if_complete():
"""
Function: check_if_complete\n
Parameter: None\n
Returns: True if criteria is met\n
"""
lines = list_file_data()
curr_user_served = round(float(lines[27].split(':')[1]), 2)
curr_UAV_used = round(float(lines[13].split(':')[1]), 2)
similarity_percentage = round(float(lines[20].split(':')[1]), 2)
sd_user_dist = round(float(lines[28].split(':')[1]), 2)
parent_dir = os.getcwd()
folder_name = 'input_files'
file_name = 'scenario_input.json'
file_path = os.path.join(parent_dir, folder_name, file_name)
with open(file_path, 'r') as file_pointer:
scenario_data = json.load(file_pointer)
expected_similarity = scenario_data['similarity_threshold'] * 100
N = scenario_data['N']
if similarity_percentage >= expected_similarity:
threshold = scenario_data['UAV_to_UAV_threshold']
return (True, curr_user_served, curr_UAV_used, similarity_percentage, sd_user_dist, N)
return (False, curr_user_served, curr_UAV_used, similarity_percentage, sd_user_dist, N)
def update_scenario_input():
"""
Function: update_scenario_input\n
Parameters: None\n
Functionality: Update the scenario_input.json file\n
"""
global UAV_to_UAV_threshold
parent_dir = os.getcwd()
folder_name = 'input_files'
low = 0
high = len(UAV_to_UAV_threshold) - 1
min_threshold = 999999999
min_sd_user_dist = 0
min_curr_user_served = 0
min_curr_UAV_used = 0
min_similarity_percentage = 0
min_N = 0
while low <= high:
mid = (low + high) // 2
threshold = float(UAV_to_UAV_threshold[mid])
file_name = 'scenario_input.json'
file_path = os.path.join(parent_dir, folder_name, file_name)
with open(file_path, 'r') as file_pointer:
scenario_data = json.load(file_pointer)
scenario_data['UAV_to_UAV_threshold'] = threshold
with open(file_path, 'w') as file_pointer:
json.dump(scenario_data, file_pointer)
for iter in range(max_iter):
os.system('python3 user_secnario_producer.py')
os.system('python3 main.py')
os.system('python3 analysis.py')
is_done, curr_user_served, curr_UAV_used, similarity_percentage, sd_user_dist, N = check_if_complete()
if is_done:
high = mid - 1
if threshold < min_threshold:
min_threshold = threshold
min_sd_user_dist = sd_user_dist
min_curr_user_served = curr_user_served
min_curr_UAV_used = curr_UAV_used
min_similarity_percentage = similarity_percentage
min_N = N
os.system('bash fresh_analysis.sh')
else:
low = mid + 1
os.system('bash fresh_analysis.sh')
update_log_file(min_threshold, min_sd_user_dist, min_curr_user_served,
min_curr_UAV_used, min_similarity_percentage, min_N)
def runner_function():
"""
Function: runner_function\n
Parameters: None\n
Functionality: Automates the analysis\n
"""
global size
global users
parent_dir = os.getcwd()
os.system('bash fresh_analysis.sh')
final_log_file = 'scenario_analysis.log'
lines_to_write = []
lines_to_write.append(
f'###############################################################################################\n')
lines_to_write.append(
f'################################## Final Analysis Report ######################################\n')
lines_to_write.append(
f'###############################################################################################\n')
with open(os.path.join(parent_dir, 'analysis_output_files', final_log_file), 'w') as file_pointer:
file_pointer.writelines(lines_to_write)
folder_name = 'input_files'
file_name = 'user_location.json'
file_path = os.path.join(parent_dir, folder_name, file_name)
for i in range(len(size)):
with open(file_path, 'r') as file_pointer:
file_data = json.load(file_pointer)
file_data['N'] = size[i]
file_data['M'] = size[i]
file_data['Number of User'] = users[i]
with open(file_path, 'w') as file_pointer:
json.dump(file_data, file_pointer)
os.system('python3 user_secnario_producer.py')
update_scenario_input()
lines_to_write = []
lines_to_write.append(
f'###############################################################################################\n')
lines_to_write.append(
f'###################################### END OF REPORT ##########################################\n')
lines_to_write.append(
f'###############################################################################################\n')
with open(os.path.join(parent_dir, 'analysis_output_files', final_log_file), 'a') as file_pointer:
file_pointer.writelines(lines_to_write)
if __name__ == "__main__":
dir_path = os.path.join(os.getcwd(), 'analysis_output_files')
try:
os.mkdir(dir_path)
except OSError as error:
pass
print("Relax!! We have taken the charge:)")
runner_function()
os.system("python3 plot_graph.py")