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https://github.com/Ahp06/SUMO_Emissions.git
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247 lines
9.6 KiB
Python
247 lines
9.6 KiB
Python
'''
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Created on 19 janv. 2019
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@author: Axel Huynh-Phuc
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'''
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"""
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This module defines the entry point of the application
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"""
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import argparse
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import csv
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import datetime
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import itertools
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import logging
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import multiprocessing
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import os
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import sys
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import time
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import traci
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import jsonpickle
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from config import Config
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from data import Data
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import emissions
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from model import Emission
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"""
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Init the Traci API
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"""
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if 'SUMO_HOME' in os.environ:
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tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
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sys.path.append(tools)
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else:
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sys.exit("please declare environment variable 'SUMO_HOME'")
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class RunProcess(multiprocessing.Process):
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def __init__(self, data : Data, config : Config, save_logs, csv_export):
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"""
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RunProcess constructor
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:param data: The data instance
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:param config: The config instance
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:param save_logs: If save_logs == True, it will save the logs into the logs directory
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:param csv_export: If csv_export == True, it will export all emissions data into a csv file
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"""
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multiprocessing.Process.__init__(self)
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self.data = data
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self.config = config
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self.save_logs = save_logs
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self.csv_export = csv_export
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def init_logger(self):
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"""
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Init logger properties
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"""
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now = datetime.datetime.now()
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current_date = now.strftime("%Y_%m_%d_%H_%M_%S")
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if not os.path.exists('files/logs'):
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os.makedirs('logs')
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conf_name = self.config.config_filename.replace('.json', '')
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log_filename = f'files/logs/{self.data.dump_name}_{conf_name}_{current_date}.log'
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self.logger = logging.getLogger(f'{self.data.dir}_{conf_name}')
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self.logger.setLevel(logging.INFO)
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formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
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if self.save_logs:
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file_handler = logging.FileHandler(log_filename)
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file_handler.setFormatter(formatter)
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self.logger.addHandler(file_handler)
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handler = logging.StreamHandler()
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handler.setFormatter(formatter)
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self.logger.addHandler(handler)
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def export_data_to_csv(self):
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"""
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Export all Emission objects as a CSV file into the csv directory
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"""
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csv_dir = 'files/csv'
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if not os.path.exists(csv_dir):
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os.mkdir(csv_dir)
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now = datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
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conf_name = self.config.config_filename.replace('.json', '')
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with open(f'files/csv/{self.data.dump_name}_{conf_name}_{now}.csv', 'w') as f:
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writer = csv.writer(f)
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# Write CSV headers
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writer.writerow(itertools.chain(('Step',), (a.name for a in self.data.grid)))
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# Write all areas emission value for each step
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for step in range(self.config.n_steps):
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em_for_step = (f'{a.emissions_by_step[step].value():.3f}' for a in self.data.grid)
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writer.writerow(itertools.chain((step,), em_for_step))
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def run(self):
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"""
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Run a data set
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"""
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try:
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self.init_logger()
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self.logger.info(f'Running simulation dump "{self.data.dump_name}" with the config "{self.config.config_filename}" ...')
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traci.start(self.config.sumo_cmd)
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for area in self.data.grid: # Set acquisition window size
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area.set_window_size(self.config.window_size)
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traci.polygon.add(area.name, area.rectangle.exterior.coords, (255, 0, 0)) # Add polygon for UI
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self.logger.info(f'Loaded simulation file : {self.config._SUMOCFG}')
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self.logger.info('Loading data for the simulation')
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start = time.perf_counter()
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self.logger.info('Simulation started...')
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step = 0
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while step < self.config.n_steps:
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traci.simulationStep()
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vehicles = emissions.get_all_vehicles()
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emissions.get_emissions(self, vehicles, step)
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step += 1
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print(f'step = {step}/{self.config.n_steps}', end='\r')
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finally:
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traci.close(False)
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total_emissions = Emission()
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for area in self.data.grid:
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total_emissions += area.sum_all_emissions()
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self.logger.info(f'Total emissions = {total_emissions.value()} mg')
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if not self.config.without_actions_mode: # If it's not a simulation without actions
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ref = self.config.get_ref_emissions()
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if not (ref is None): # If a reference value exist (add yours into config.py)
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global_diff = (ref.value() - total_emissions.value()) / ref.value()
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self.logger.info(f'Global reduction percentage of emissions = {global_diff * 100} %')
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self.logger.info(f'-> CO2 emissions = {emissions.get_reduction_percentage(ref.co2, total_emissions.co2)} %')
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self.logger.info(f'-> CO emissions = {emissions.get_reduction_percentage(ref.co, total_emissions.co)} %')
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self.logger.info(f'-> Nox emissions = {emissions.get_reduction_percentage(ref.nox, total_emissions.nox)} %')
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self.logger.info(f'-> HC emissions = {emissions.get_reduction_percentage(ref.hc, total_emissions.hc)} %')
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self.logger.info(f'-> PMx emissions = {emissions.get_reduction_percentage(ref.pmx, total_emissions.pmx)} %')
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simulation_time = round(time.perf_counter() - start, 2)
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self.logger.info(f'End of the simulation ({simulation_time}s)')
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# 1 step is equal to one second simulated
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self.logger.info(f'Real-time factor : {self.config.n_steps / simulation_time}')
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if self.csv_export:
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self.export_data_to_csv()
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self.logger.info(f'Exported data into the csv folder')
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def create_dump(dump_name, simulation_dir, areas_number):
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"""
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Create a new dump with config file and dump_name chosen
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:param dump_name: The name of the data dump
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:param simulation_dir: The simulation directory
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:param areas_number: The number of areas in grid
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:return:
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"""
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sumo_binary = os.path.join(os.environ['SUMO_HOME'], 'bin', 'sumo')
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sumo_cmd = [sumo_binary, "-c", f'files/simulations/{simulation_dir}/osm.sumocfg']
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traci.start(sumo_cmd)
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if not os.path.isfile(f'files/dump/{dump_name}.json'):
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start = time.perf_counter()
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data = Data(dump_name, traci.simulation.getNetBoundary(), areas_number, simulation_dir)
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data.init_grid()
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data.add_data_to_areas()
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data.save()
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loading_time = round(time.perf_counter() - start, 2)
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print(f'Data loaded ({loading_time}s)')
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print(f'Dump {dump_name} created')
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else:
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print(f'Dump with name {dump_name} already exist')
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traci.close(False)
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def add_options(parser):
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"""
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Add command line options
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:param parser: The command line parser
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:return:
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"""
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# TODO: Faire que -areas & -simulation_dir soit requis si -new_dump
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# Faire que -c soit requis si -run
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parser.add_argument("-new_dump", "--new_dump", type=str,
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required=False, help='Load and create a new data dump with the configuration file chosen')
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parser.add_argument("-areas", "--areas", type=int, required=False,
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help='Will create a grid with "areas x areas" areas')
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parser.add_argument("-simulation_dir", "--simulation_dir", type=str, required=False,
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help='Choose the simulation directory')
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parser.add_argument("-run", "--run", type=str,
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help='Run a simulation with the dump chosen')
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parser.add_argument("-c", "--c", nargs='+', type=str,
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help='Choose your configuration file from your working directory')
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parser.add_argument("-save", "--save", action="store_true",
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help='Save the logs into the logs folder')
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parser.add_argument("-csv", "--csv", action="store_true",
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help="Export all data emissions into a CSV file")
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def main(args):
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"""
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The entry point of the application
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:param args: Command line options
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:return:
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"""
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parser = argparse.ArgumentParser()
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add_options(parser)
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args = parser.parse_args(args)
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if args.new_dump is not None:
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if (args.simulation_dir is not None) and (args.areas is not None):
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create_dump(args.new_dump, args.simulation_dir, args.areas)
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if args.run is not None:
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dump_path = f'files/dump/{args.run}.json'
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if os.path.isfile(dump_path):
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with open(dump_path, 'r') as f:
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data = jsonpickle.decode(f.read())
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process = []
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if args.c is not None:
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for conf in args.c: # Initialize all process
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config = Config(conf,data)
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p = RunProcess(data, config,args.save,args.csv)
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process.append(p)
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p.start()
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for p in process : p.join()
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if __name__ == '__main__':
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main(sys.argv[1:])
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