def __init__(self, crossover_rate=1.0, mutation_rate=0.01):
#print("cross_over: ", crossover_rate, " , mutation_rate :", mutation_rate)
self.crossover_rate = crossover_rate
self.mutation_rate = mutation_rate
self.genotype = None
#TODO: parameterize
self.k = Configuration.get()["translator"]["parameter"]["parameters"]["k"]
def __init__(self):
print("Mongo object init...")
self.__config = Configuration.get()
self.__mongo_config = self.__config["MONGO"]
self.__host = self.__mongo_config["HOST"]
self.__user = self.__mongo_config["USER"]
self.__password = self.__mongo_config["PASSWORD"]
self.__port = self.__mongo_config["PORT"]
# self.__auth_db = self.__mongo_config["AUTH_DB"]
# self.__timeout = self.__mongo_config["TIMEOUT"]
Mongo.connection = MongoClient(self.__host,
self.__port,
username=self.__user,
password=self.__password,
authMechanism='SCRAM-SHA-256')
# Mongo.connection = MongoClient(f"mongodb+srv://{self.__user}:{self.__password}@{self.__host}/test?retryWrites=true&w=majority")
if self.__config["DEBUG"]:
self.__set_database(self.__mongo_config["DEBUG_DATABASE"])
else:
self.__set_database(self.__mongo_config["DATABASE"])
try:
self.__check_connection()
Mongo.__mqttc = mqtt.Client()
Mongo.__mqttc.connect(self.__mongo_config["MQTT_SERVER"], 1883, 60)
Mongo.__mbus_server_ip = self.__mongo_config["MBUS_SERVER"]
except Exception as e:
raise e
def __init__(self, parent, individual, ann=None):
self.individual = individual
self.ann = ann
config = Configuration.get()
wrap=config["fitness"]["tracker"]["parameters"]["wrap"]
pull=config["fitness"]["tracker"]["parameters"]["pull"]
self.scenario = Simulator(wrap = wrap, pull = pull)
top = self.top = Toplevel(parent)
top.title("Tracker game - results wrap=" + str(wrap) + " pull=" + str(pull))
top.grid()
w = 30
h = 15
self.canvas = TrackerAgentDisplay(top, w, h, wrap=wrap)
self.canvas.set_model(self.scenario)
self.canvas.grid(row=0, column=0, columnspan=5, sticky=(N,W,S,E) ,padx=4, pady=4)
self.v = StringVar()
speed_adjuster = Scale(top, from_=10, to=1000, command=self.set_speed,orient=HORIZONTAL, variable=self.v)
speed_adjuster.set(400)
speed_adjuster.grid(row=1, column=0,padx=4, pady=4)
restart_button = Button(top, text="Restart", command=self.reset)
restart_button.grid(row=1, column=4,padx=4, pady=4)
new_button = Button(top, text="New recording", command=self.restart)
new_button.grid(row=1, column=3,padx=4, pady=4)
finish_button = Button(top, text="OK", command=self.ok)
finish_button.grid(row=2, column=4,padx=4, pady=10)
self.record_agent()
def weatherstack():
config = Configuration.get()
url = "http://api.weatherstack.com/current"
params = {}
params["query"] = config["OPEN_DATA"]["TOWN"]
params["access_key"] = config["OPEN_DATA"]["WEATHER_STACK"]["KEY"]
r = requests.get(url, params)
return r
def weatherapi():
config = Configuration.get()
url = "http://api.weatherapi.com/v1/current.json"
params = {}
params["q"] = config["OPEN_DATA"]["TOWN"]
params["key"] = config["OPEN_DATA"]["WEATHER_API"]["KEY"]
r = requests.get(url, params)
return r
def openweathermap():
config = Configuration.get()
url = "http://api.openweathermap.org/data/2.5/weather"
params = {}
params["q"] = config["OPEN_DATA"]["TOWN"]
params["appid"] = config["OPEN_DATA"]["OPEN_WEATHER_MAP"]["KEY"]
r = requests.get(url, params)
return r
def make_adult_selector(selector=FULL, config=None):
'''
Factory method create object by the supplied string argument, selector.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selections = Configuration.get()["adult_selection"]
else:
selections = config["adult_selection"]
return getattr(sys.modules[__name__], selections[selector]["class_name"])()
def make_parent_selector(selector=PROPORTIONATE, config=None):
'''
Factory method create object by the supplied string argument, selector.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selected = Configuration.get()["parent_selection"][selector]
else:
selected = config["parent_selection"][selector]
config = selected['parameters']
return getattr(sys.modules[__name__], selected["class_name"])(**config)
def make_adult_selector(selector=FULL, config=None):
'''
Factory method create object by the supplied string argument, selector.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selections = Configuration.get()["adult_selection"]
else:
selections = config["adult_selection"]
return getattr(sys.modules[__name__],
selections[selector]["class_name"])()
def make_genotype(genotype=DEFAULT, config=None):
'''
Factory method create object by the supplied string argument, genotype.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selected = Configuration.get()["genotype"][genotype]
else:
selected = config["genotype"][genotype]
config = selected["parameters"]
return getattr(sys.modules[__name__], selected["class_name"])(**config)
def make_parent_selector(selector=PROPORTIONATE, config=None):
'''
Factory method create object by the supplied string argument, selector.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selected = Configuration.get()["parent_selection"][selector]
else:
selected = config["parent_selection"][selector]
config = selected['parameters']
return getattr(sys.modules[__name__], selected["class_name"])(**config)
def make_fitness_evaluator(genome_length, evaluator=DEFAULT, config=None):
'''
Factory method create object by the supplied string argument, evaluator.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selected = Configuration.get()["fitness"][evaluator]
else:
selected = config["fitness"][evaluator]
config = selected["parameters"]
return getattr(sys.modules[__name__], selected["class_name"])(genome_length, **config)
def make_fitness_evaluator(genome_length, evaluator=DEFAULT, config=None):
'''
Factory method create object by the supplied string argument, evaluator.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selected = Configuration.get()["fitness"][evaluator]
else:
selected = config["fitness"][evaluator]
config = selected["parameters"]
return getattr(sys.modules[__name__],
selected["class_name"])(genome_length, **config)
def make_translator(translator=DEFAULT, config=None):
'''
Factory method create object by the supplied string argument, translator.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selected = Configuration.get()["translator"][translator]
else:
selected = config["translator"][translator]
config = selected["parameters"]
print(config)
return getattr(sys.modules[__name__], selected["class_name"])(**config)
def setting_communications():
try:
print("before first request")
cwd = os.path.dirname(os.path.abspath(__file__))
Configuration(os.path.join(cwd, 'config/config.json'))
config = Configuration.get()
db = Mongo()
pub = Publisher(config["AMQP"])
mqttc = Mongo.get_mqttc()
threading.Thread(target=mqttc_keep_alive, args=(mqttc, )).start()
except Exception as e:
print("log", str(e))
def make_translator(translator=DEFAULT, config=None):
'''
Factory method create object by the supplied string argument, translator.
Configurations are also retrieved and supplied as a kwarg argument for the object.
'''
if not config:
selected = Configuration.get()["translator"][translator]
else:
selected = config["translator"][translator]
config = selected["parameters"]
print(config)
return getattr(sys.modules[__name__], selected["class_name"])(**config)
def __init__(self, parent, individual, ann=None):
self.individual = individual
self.ann = ann
config = Configuration.get()
wrap = config["fitness"]["tracker"]["parameters"]["wrap"]
pull = config["fitness"]["tracker"]["parameters"]["pull"]
self.scenario = Simulator(wrap=wrap, pull=pull)
top = self.top = Toplevel(parent)
top.title("Tracker game - results wrap=" + str(wrap) + " pull=" +
str(pull))
top.grid()
w = 30
h = 15
self.canvas = TrackerAgentDisplay(top, w, h, wrap=wrap)
self.canvas.set_model(self.scenario)
self.canvas.grid(row=0,
column=0,
columnspan=5,
sticky=(N, W, S, E),
padx=4,
pady=4)
self.v = StringVar()
speed_adjuster = Scale(top,
from_=10,
to=1000,
command=self.set_speed,
orient=HORIZONTAL,
variable=self.v)
speed_adjuster.set(400)
speed_adjuster.grid(row=1, column=0, padx=4, pady=4)
restart_button = Button(top, text="Restart", command=self.reset)
restart_button.grid(row=1, column=4, padx=4, pady=4)
new_button = Button(top, text="New recording", command=self.restart)
new_button.grid(row=1, column=3, padx=4, pady=4)
finish_button = Button(top, text="OK", command=self.ok)
finish_button.grid(row=2, column=4, padx=4, pady=10)
self.record_agent()
def openData():
config = Configuration.get()
if request.method == "GET":
data = request.values
if not data.has_key('source'):
return jsonify({"msg": "Source API not provided"}), 400
source = data.get('source')
if source not in config["OPEN_DATA"]["SOURCES"]:
return jsonify({"msg": "Unknown open data source"}), 400
apiresponse = None
if(config["DEBUG"]):
apiresponse = debugResponse(source)
else:
if source == 'openweathermap':
apiresponse = openweathermap()
if source == 'weatherapi':
apiresponse = weatherapi()
if source == "weatherstack":
apiresponse = weatherstack()
if apiresponse.status_code != 200:
print("log the error")
abort(500)
return jsonify(json.loads(apiresponse.text)), 200
def show_result(best, ann):
root = Tk()
f = Frame(master=root)
config = Configuration.get()
result_dialog = ResultDialog(f, best)
root.mainloop()
print(dir,"4") genome_length = 306 #272 (no pull and wrap) #352 (pull and wrap) #296 (no pull and no wrap) #306 (no pull and wrap) 9 bit #396 (pull and wrap) 9 bit #342 (no pull and no wrap) 9 bit #486 (no wrap no pull) 3 hidden pop_size = 50 gen = 10 threshold = 30 config = Configuration.get() ea_system = EA(config) listner = Listner() ea_system.add_listener(listner) translator = "parameter" fitness = "tracker" genotype = "default" adult = "mixing" parent = "sigma" ea_system.setup(translator,fitness,genotype,adult,parent,genome_length) best = ea_system.run(pop_size, gen, threshold) ann = RecurrentNeuralNet([5,2,2]) p = best.phenotype_container p = ann.restructure_parameters(p) ann.set_weights(p)
def show_result(best, ann):
root = Tk()
f = Frame(master=root)
config = Configuration.get()
result_dialog = ResultDialog(f, best)
root.mainloop()
show_result(best)
t = threading.Thread(target=callback)
t.daemon = True
t.start()
def show_result(individual):
result_dialog = ResultDialog(app, individual)
def on_exit(*args):
'''
Exits application
'''
if app.dirty_config:
Configuration.store(config)
root.quit()
config = Configuration.get()
root = Tk()
root.wm_protocol("WM_DELETE_WINDOW", on_exit)
root.geometry("500x300")
app = AppUI(config, master=root)
root.bind('<Return>', run_ea)
ea_system = EA(config)
ani = animation.FuncAnimation(app.graph.f, app.graph.animate, interval=3000)
ea_system.add_listener(app)
root.mainloop()