diff options
| -rw-r--r-- | bin/plot_generator.py | 123 |
1 files changed, 123 insertions, 0 deletions
diff --git a/bin/plot_generator.py b/bin/plot_generator.py new file mode 100644 index 0000000..458271d --- /dev/null +++ b/bin/plot_generator.py @@ -0,0 +1,123 @@ +import getopt +import sys +import re +import os +import numpy as np +import pprint +import json +import matplotlib.pyplot as plt + +if __name__ == '__main__': + # OPTION RECOGNITION + opt = dict() + + optspec = ( + "bench_filename= " + "result_filename= " + ) + opt_bench_filename = None + opt_result_filename = None + try: + raw_opts, args = getopt.getopt(sys.argv[1:], "", optspec.split(" ")) + + for option, parameter in raw_opts: + optname = re.sub(r"^--", "", option) + opt[optname] = parameter + except getopt.GetoptError as err: + print(err, file=sys.stderr) + sys.exit(-1) + + if "bench_filename" in opt: + opt_bench_filename = opt['bench_filename'] + else: + + sys.exit(-1) + if "result_filename" in opt: + opt_result_filename = opt['result_filename'] + else: + print("wth") + sys.exit(-1) + + with open(opt_bench_filename, 'r') as f: + configurations = json.load(f) + with open(opt_result_filename, 'r') as f: + sequence_line = f.readline() + begin_sequence = sequence_line.rfind("Resulting Sequence: ") + 20 + + if begin_sequence < 20: + print("nicht gefunden!") + sys.exit(-1) + sequence_substr = sequence_line[begin_sequence:] + resulting_sequence = eval(sequence_substr) + new_line = f.readline() + while new_line == "\n": + new_line = f.readline() + function_line = new_line + pow_function_dict = dict() + while function_line != "\n": + state_name_pos = function_line.find("Power-Function for state ") + 25 + state_name_end = function_line.find(":") + state_name = function_line[state_name_pos:state_name_end] + function_string = function_line[state_name_end+1:-1] + pow_function_dict[state_name] = function_string + function_line = f.readline() + new_line = "\n" + while new_line == "\n": + new_line = f.readline() + function_line = new_line + dur_function_dict = dict() + while function_line != "\n" and function_line != "" and "THIS RESULT IS NOT ACCURATE." not in function_line: + state_name_pos = function_line.find("Duration-Function for state ") + 28 + state_name_end = function_line.find(":") + state_name = function_line[state_name_pos:state_name_end] + function_string = function_line[state_name_end+1:-1] + dur_function_dict[state_name] = function_string + function_line = f.readline() + + param_names = configurations[0]['offline_aggregates']['paramkeys'][0] + + for num_fig in range(0, min(4, len(configurations))): + rand_config_no = np.random.randint(0, len(configurations), 1)[0] + rand_conf = configurations[rand_config_no] + rand_signal = np.array(rand_conf['offline'][0]['uW']) + rand_param = rand_conf['offline_aggregates']['param'][0] + rand_max_pow = max(rand_signal) + # pprint.pprint(rand_param) + pretty_rand_param = pprint.pformat(rand_param) + print(str(param_names) + "(" + str(rand_config_no) + ")" + "\n" + pretty_rand_param) + time = 0 + next_time = 0 + rand_stepper = 0 + pow = 0 + resulting_coords = list() + while rand_stepper < len(resulting_sequence): + curr_state = resulting_sequence[rand_stepper] + curr_state_name = "State_" + str(curr_state) + curr_pow_func = pow_function_dict[curr_state_name] + curr_dur_func = dur_function_dict[curr_state_name] + for num_param, name in enumerate(param_names): + replace_string = "parameter(" + name + ")" + curr_pow_func = curr_pow_func.replace(replace_string, str(rand_param[num_param])) + curr_dur_func = curr_dur_func.replace(replace_string, str(rand_param[num_param])) + pow = eval(curr_pow_func) + dur = eval(curr_dur_func) + next_time = time + dur + start_coord = (time, pow) + end_coord = (next_time, pow) + resulting_coords.append(start_coord) + resulting_coords.append(end_coord) + rand_stepper = rand_stepper + 1 + time = next_time + + with open("res_conf_" + str(num_fig) + "_signal.txt", 'w') as f: + f.write("x,y\n") + for x, y in enumerate(rand_signal): + f.write(str(x) + "," + str(y) + "\n") + with open("res_conf_" + str(num_fig) + "_fit.txt", 'w') as f: + f.write("x,y\n") + for x, y in resulting_coords: + f.write(str(x) + "," + str(y) + "\n") + plt.plot(rand_signal) + plt.plot([x for x, y in resulting_coords], [y for x, y in resulting_coords]) + plt.savefig("res_conf_" + str(num_fig) + "_pic.pdf", format='pdf', dpi=300) + plt.clf() |