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.gitignore vendored
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__pycache__/
.idea/
tree.png
dataset/
dataset.zip
__pycache__/

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AStar.py
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"""
f(n) = g(n) + h(n)
g(n) = dotychczasowy koszt -> dodać currentCost w Node lub brać koszt na nowo przy oddtawrzaniu ścieżki
h(n) = abs(state['x'] - goalTreassure[0]) + abs(state['y'] - goalTreassure[1]) -> odległość Manhatan -> można zrobić jeszcze drugą wersje gdzie mnoży się razy 5.5 ze wzgledu na średni koszt przejścia
Należy zaimplementować kolejkę priorytetową oraz zaimplementować algorytm przeszukiwania grafu stanów z uwzględnieniem kosztu za pomocą przerobienia algorytmu przeszukiwania grafu stanów
"""
import random
import pygame
import Node
import BFS
from displayControler import NUM_X, NUM_Y
from Pole import stoneList
from queue import PriorityQueue
def getRandomGoalTreasure():
while True:
goalTreasure = (random.randint(0, NUM_X - 1), random.randint(0, NUM_Y - 1)) # Współrzędne celu
if goalTreasure not in stoneList:
break
return goalTreasure
def heuristic(state, goal):
# Oblicz odległość Manhattanowską między aktualnym stanem a celem
manhattan_distance = abs(state['x'] - goal[0]) + abs(state['y'] - goal[1])
return manhattan_distance
'''def get_cost_for_plant(plant_name):
plant_costs = {
"pszenica": 7,
"kukurydza": 9,
"ziemniak": 2,
"slonecznik": 5,
"borowka": 3,
"winogrono": 4,
"mud": 15,
"dirt": 0,
}
if plant_name in plant_costs:
return plant_costs[plant_name]
else:
# Jeśli nazwa rośliny nie istnieje w słowniku, zwróć domyślną wartość
return 0
'''
def A_star(istate, pole, goalTreasure):
# goalTreasure = (random.randint(0,NUM_X-1), random.randint(0,NUM_Y-1))
# #jeśli chcemy używać random musimy wykreslić sloty z kamieniami, ponieważ tez mogą się wylosować i wtedy traktor w ogóle nie rusza
#lub zrobić to jakoś inaczej, np. funkcja szukająca najmniej nawodnionej rośliny
# przeniesione wyżej do funkcji getRandomGoalTreasure, wykorzystywana jest w App.py
# while True:
# goalTreasure = (random.randint(0, NUM_X - 1), random.randint(0, NUM_Y - 1)) # Współrzędne celu
# if goalTreasure not in stoneList:
# break
fringe = PriorityQueue() # Kolejka priorytetowa dla wierzchołków do rozpatrzenia
explored = [] # Lista odwiedzonych stanów
obrot = 1
# Tworzenie węzła początkowego
x = Node.Node(istate)
x.g = 0
x.h = heuristic(x.state, goalTreasure)
fringe.put((x.g + x.h, x)) # Dodanie węzła do kolejki
total_cost = 0
while not fringe.empty():
_, elem = fringe.get() # Pobranie węzła z najniższym priorytetem
if BFS.goalTest3(elem.state, goalTreasure): # Sprawdzenie, czy osiągnięto cel
path = []
cost_list=[]
while elem.parent is not None: # Odtworzenie ścieżki
path.append([elem.parent, elem.action])
elem = elem.parent
for node, action in path:
# Obliczanie kosztu ścieżki dla każdego pola i wyświetlanie
plant_cost = get_plant_name_and_cost_from_coordinates(node.state['x'],node.state['y'], pole)
if action == "left" or action == "right": # Liczenie kosztu tylko dla pól nie będących obrotami
total_cost += obrot
cost_list.append(obrot)
else:
total_cost += plant_cost
cost_list.append(plant_cost)
return path,cost_list,total_cost
explored.append(elem.state)
for resp in succ3A(elem.state):
child_state = resp[1]
if child_state not in explored:
child = Node.Node(child_state)
child.parent = elem
child.action = resp[0]
# Pobranie nazwy rośliny z danego slotu na podstawie współrzędnych
plant_cost = get_plant_name_and_cost_from_coordinates(child_state['x'], child_state['y'], pole)
# Pobranie kosztu dla danej rośliny
#plant_cost = get_cost_for_plant(plant_name)
if child.action == "left" or child.action == "right":
child.g = elem.g + obrot
else:
child.g = elem.g + plant_cost
# Obliczenie heurystyki dla dziecka
child.h = heuristic(child.state, goalTreasure)
in_fringe = False
for priority, item in fringe.queue:
if item.state == child.state:
in_fringe = True
if priority > child.g + child.h:
# Jeśli znaleziono węzeł w kolejce o gorszym priorytecie, zastąp go nowym
fringe.queue.remove((priority, item))
fringe.put((child.g + child.h, child))
break
if not in_fringe:
# Jeśli stan dziecka nie jest w kolejce, dodaj go do kolejki
fringe.put((child.g + child.h, child))
for event in pygame.event.get():
if event.type == pygame.QUIT:
quit()
return False
def get_plant_name_and_cost_from_coordinates(x, y, pole):
if (x, y) in pole.slot_dict: # Sprawdzenie, czy podane współrzędne znajdują się na polu
slot = pole.slot_dict[(x, y)] # Pobranie slotu na podstawie współrzędnych
if slot.plant: # Sprawdzenie, czy na slocie znajduje się roślina
return slot.plant.stan.koszt # Zwrócenie nazwy rośliny na slocie
else:
return 0 # jeśli na slocie nie ma rośliny
else:
return 0 # jeśli podane współrzędne są poza polem
#to ogólnie identyczna funkcja jak w BFS ale nie chciałam tam ruszać, żeby przypadkiem nie zapsuć do BFS,
#tylko musiałam dodac sprawdzenie kolizji, bo traktor brał sloty z Y których nie ma na planszy
def succ3A(state):
resp = []
if state["direction"] == "N":
if state["y"] > 0 and (state['x'], state["y"] - 1) not in stoneList:
resp.append(["forward", {'x': state["x"], 'y': state["y"]-1, 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "E"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "W"}])
elif state["direction"] == "S":
if state["y"] < NUM_Y - 1 and (state['x'], state["y"] + 1) not in stoneList:
resp.append(["forward", {'x': state["x"], 'y': state["y"]+1, 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "W"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "E"}])
elif state["direction"] == "E":
if state["x"] < NUM_X - 1 and (state['x'] + 1, state["y"]) not in stoneList:
resp.append(["forward", {'x': state["x"]+1, 'y': state["y"], 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "S"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "N"}])
else: #state["direction"] == "W"
if state["x"] > 0 and (state['x'] - 1, state["y"]) not in stoneList:
resp.append(["forward", {'x': state["x"]-1, 'y': state["y"], 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "N"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "S"}])
return resp
def heuristic2(state, goal):
# Oblicz odległość Manhattanowską między aktualnym stanem a celem
manhattan_distance = (abs(state['x'] - goal[0]) + abs(state['y'] - goal[1])) * 2.5
return manhattan_distance
def A_star2(istate, pole, goalTreasure):
# goalTreasure = (random.randint(0,NUM_X-1), random.randint(0,NUM_Y-1))
# #jeśli chcemy używać random musimy wykreslić sloty z kamieniami, ponieważ tez mogą się wylosować i wtedy traktor w ogóle nie rusza
#lub zrobić to jakoś inaczej, np. funkcja szukająca najmniej nawodnionej rośliny
# przeniesione wyżej do funkcji getRandomGoalTreasure, wykorzystywana jest w App.py
# while True:
# goalTreasure = (random.randint(0, NUM_X - 1), random.randint(0, NUM_Y - 1)) # Współrzędne celu
# if goalTreasure not in stoneList:
# break
fringe = PriorityQueue() # Kolejka priorytetowa dla wierzchołków do rozpatrzenia
explored = [] # Lista odwiedzonych stanów
obrot = 1
# Tworzenie węzła początkowego
x = Node.Node(istate)
x.g = 0
x.h = heuristic2(x.state, goalTreasure)
fringe.put((x.g + x.h, x)) # Dodanie węzła do kolejki
total_cost=0
while not fringe.empty():
_, elem = fringe.get() # Pobranie węzła z najniższym priorytetem
if BFS.goalTest3(elem.state, goalTreasure): # Sprawdzenie, czy osiągnięto cel
path = []
cost_list=[]
while elem.parent is not None: # Odtworzenie ścieżki
path.append([elem.parent, elem.action])
elem = elem.parent
for node, action in path:
# Obliczanie kosztu ścieżki dla każdego pola i wyświetlanie
plant_cost = get_plant_name_and_cost_from_coordinates(node.state['x'],node.state['y'], pole)
if action == "left" or action == "right": # Liczenie kosztu tylko dla pól nie będących obrotami
total_cost += obrot
cost_list.append(obrot)
else:
total_cost += plant_cost
cost_list.append(plant_cost)
return path,cost_list,total_cost
explored.append(elem.state)
for resp in succ3A(elem.state):
child_state = resp[1]
if child_state not in explored:
child = Node.Node(child_state)
child.parent = elem
child.action = resp[0]
# Pobranie nazwy rośliny z danego slotu na podstawie współrzędnych
plant_cost = get_plant_name_and_cost_from_coordinates(child_state['x'], child_state['y'], pole)
if child.action == "left" or child.action == "right":
child.g = elem.g + obrot
else:
child.g = elem.g + plant_cost
# Obliczenie heurystyki dla dziecka
child.h = heuristic2(child.state, goalTreasure)
in_fringe = False
for priority, item in fringe.queue:
if item.state == child.state:
in_fringe = True
if priority > child.g + child.h:
# Jeśli znaleziono węzeł w kolejce o gorszym priorytecie, zastąp go nowym
fringe.queue.remove((priority, item))
fringe.put((child.g + child.h, child))
break
if not in_fringe:
# Jeśli stan dziecka nie jest w kolejce, dodaj go do kolejki
fringe.put((child.g + child.h, child))
for event in pygame.event.get():
if event.type == pygame.QUIT:
quit()
return False
"""
TO TEST SPEED OF ASTAR
test_speed = False
if test_speed:
time1 = 0
time2 = 0
cost1 = 0
cost2 = 0
for i in range(500):
print(i)
start = time.time()
aStarRoot, cost_list, total_cost = AStar.A_star({'x': 0, 'y': 0, 'direction': "E"}, pole, goalTreasure)
end = time.time()
time1 += end - start
cost1 += total_cost
start = time.time()
aStarRoot2, cost_list, total_cost = AStar.A_star2({'x': 0, 'y': 0, 'direction': "E"}, pole, goalTreasure)
end = time.time()
time2 += end - start
cost2 += total_cost
print(time1, time2)
print(float(cost1 / 1000), float(cost2 / 1000))
"""

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import Srodek
#w przyszłości trzeba przenieść definicję środków do innego pliku inicjalizującego
class Akcja:
srodki = [] #lista obiektów klasy Srodek
benefits = [] #lista przechowująca benefity płynące z wykonania akcji
def __init__(self, typ):
self.typ = typ
if self.typ == "nawodnienie":
self.srodki.append(Srodek.Srodek(1, "woda", "woda"))
self.srodki.append(Srodek.Srodek(1.5, "powerade", "woda")) #nawadnia lepiej niż woda
self.benefits.append(typ)
self.benefits.append(100)
if self.typ == "zyznosc":
self.srodki.append(Srodek.Srodek(2, "obornik", "nawoz"))
self.srodki.append(Srodek.Srodek(3, "azotan", "nawoz"))
self.srodki.append(Srodek.Srodek(4, "wapno", "nawoz"))
self.srodki.append(Srodek.Srodek(5, "superfosfat", "nawoz"))
self.benefits.append(typ)
self.benefits.append(100)
if self.typ == "wzrost":
self.srodki.append(Srodek.Srodek(6, "witaminy", "odzywka"))
self.srodki.append(Srodek.Srodek(7, "aminokwasy", "odzywka"))
self.srodki.append(Srodek.Srodek(8, "algi morskie", "odzywka"))
self.benefits.append(typ)
self.benefits.append(20)
if self.typ == "grzyb":
self.srodki.append(Srodek.Srodek(9, "mankozeb", "ochrona"))
self.srodki.append(Srodek.Srodek(10, "czosnek", "ochrona")) #tak czosnek zabija grzyby
self.benefits.append("choroba")
self.benefits.append("brak")
if self.typ == "bakteria":
self.srodki.append(Srodek.Srodek(11, "miedź", "ochrona"))
self.srodki.append(Srodek.Srodek(12, "streptomycyna ", "ochrona"))
self.benefits.append("choroba")
self.benefits.append("brak")
if self.typ == "pasożyt":
self.srodki.append(Srodek.Srodek(13, "Cyjantraniliprol", "ochrona"))
self.srodki.append(Srodek.Srodek(14, "Permetryna", "ochrona"))
self.srodki.append(Srodek.Srodek(15, "Abamektyna", "ochrona"))
self.benefits.append("choroba")
self.benefits.append("brak")
def getBenefit(self):
return self.benefits

172
App.py

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BFS.py
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import random
import pygame
import Node
from displayControler import NUM_X, NUM_Y
from Pole import stoneList
def goalTest1(hIndex):
for i in list(hIndex.values()):
if i == 0:
return False
return True
def succ1(state):
resp = []
hIndex = state["hydradeIndex"].copy()
if state["direction"] == "N":
if state["y"] > 0:
if hIndex[state["x"], state["y"]-1] == 0:
hIndex[state["x"], state["y"] - 1] = 1
resp.append(["forward", {'x': state["x"], 'y': state["y"]-1, 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "E", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "W", 'hydradeIndex': state["hydradeIndex"].copy()}])
elif state["direction"] == "S":
if state["y"] < NUM_Y-1:
if hIndex[state["x"], state["y"]+1] == 0:
hIndex[state["x"], state["y"] + 1] = 1
resp.append(["forward", {'x': state["x"], 'y': state["y"]+1, 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "W", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "E", 'hydradeIndex': state["hydradeIndex"].copy()}])
elif state["direction"] == "E":
if state["x"] < NUM_X-1:
if hIndex[state["x"]+1, state["y"]] == 0:
hIndex[state["x"] + 1, state["y"]] = 1
resp.append(["forward", {'x': state["x"]+1, 'y': state["y"], 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "S", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "N", 'hydradeIndex': state["hydradeIndex"].copy()}])
else: #state["zwrot"] == "W"
if state["x"] > 0:
if hIndex[state["x"]-1, state["y"]] == 0:
hIndex[state["x"] - 1, state["y"]] = 1
resp.append(["forward", {'x': state["x"]-1, 'y': state["y"], 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "N", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "S", 'hydradeIndex': state["hydradeIndex"].copy()}])
return resp
def check1(tab, state):
for i in tab:
if i.state == state:
return False
return True
def BFS1(istate):
fringe = []
explored = []
x = Node.Node(istate)
fringe.append(x)
while True:
if fringe == []:
return False
elem = fringe.pop(0)
if goalTest1(elem.state["hydradeIndex"]):
x = elem
tab = []
while x.parent != None:
tab.append([x.parent, x.action])
x = x.parent
return tab
explored.append(elem)
for resp in succ1(elem.state):
if check1(fringe, resp[1]) and check1(explored, resp[1]):
x = Node.Node(resp[1])
x.parent = elem
x.action = resp[0]
fringe.append(x)
for event in pygame.event.get():
if event.type == pygame.QUIT:
quit()
def goalTest3(state, goalTreassure):
if state["x"] == goalTreassure[0] and state["y"] == goalTreassure[1]:
return True
return False
def succ3(state):
resp = []
if state["direction"] == "N":
if state["y"] > 0 and (state['x'], state["y"] - 1) not in stoneList:
resp.append(["forward", {'x': state["x"], 'y': state["y"]-1, 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "E"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "W"}])
elif state["direction"] == "S":
if state["y"] < NUM_Y - 1 and (state['x'], state["y"] + 1) not in stoneList:
resp.append(["forward", {'x': state["x"], 'y': state["y"]+1, 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "W"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "E"}])
elif state["direction"] == "E":
if state["x"] < NUM_X - 1 and (state['x'] + 1, state["y"]) not in stoneList:
resp.append(["forward", {'x': state["x"]+1, 'y': state["y"], 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "S"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "N"}])
else: #state["zwrot"] == "W"
if state["x"] > 0 and (state['x'] - 1, state["y"]) not in stoneList:
resp.append(["forward", {'x': state["x"]-1, 'y': state["y"], 'direction': state["direction"]}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "N"}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "S"}])
return resp
def check3(tab, state):
for i in tab:
if i.state == state:
return False
return True
def BFS3(istate,GT):
randomGT=False
if(randomGT==True):
goalTreassuere = (random.randint(0,NUM_X-1), random.randint(0,NUM_Y-1))
else:
goalTreassuere=GT
print(goalTreassuere)
fringe = []
explored = []
x = Node.Node(istate)
fringe.append(x)
while True:
if fringe == []:
return False
elem = fringe.pop(0)
if goalTest3(elem.state, goalTreassuere):
x = elem
tab = []
while x.parent != None:
tab.append([x.parent, x.action])
x = x.parent
return tab
explored.append(elem)
for resp in succ3(elem.state):
if check3(fringe, resp[1]) and check3(explored, resp[1]):
x = Node.Node(resp[1])
x.parent = elem
x.action = resp[0]
fringe.append(x)
for event in pygame.event.get():
if event.type == pygame.QUIT:
quit()
"""
def goalTest(hIndex):
for i in list(hIndex.values()):
if i == 0:
return False
return True
def succ(state):
resp = []
hIndex = state["hydradeIndex"].copy()
if state["direction"] == "N":
if state["y"] > 0:
if hIndex[state["x"], state["y"]-1] == 0:
hIndex[state["x"], state["y"] - 1] = 1
resp.append(["forward", {'x': state["x"], 'y': state["y"]-1, 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "E", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "W", 'hydradeIndex': state["hydradeIndex"].copy()}])
elif state["direction"] == "S":
if state["y"] < dCon.NUM_Y-1:
if hIndex[state["x"], state["y"]+1] == 0:
hIndex[state["x"], state["y"] + 1] = 1
resp.append(["forward", {'x': state["x"], 'y': state["y"]+1, 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "W", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "E", 'hydradeIndex': state["hydradeIndex"].copy()}])
elif state["direction"] == "E":
if state["x"] < dCon.NUM_X-1:
if hIndex[state["x"]+1, state["y"]] == 0:
hIndex[state["x"] + 1, state["y"]] = 1
resp.append(["forward", {'x': state["x"]+1, 'y': state["y"], 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "S", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "N", 'hydradeIndex': state["hydradeIndex"].copy()}])
else: #state["direction"] == "W"
if state["x"] > 0:
if hIndex[state["x"]-1, state["y"]] == 0:
hIndex[state["x"] - 1, state["y"]] = 1
resp.append(["forward", {'x': state["x"]-1, 'y': state["y"], 'direction': state["direction"], 'hydradeIndex': hIndex}])
resp.append(["right", {'x': state["x"], 'y': state["y"], 'direction': "N", 'hydradeIndex': state["hydradeIndex"].copy()}])
resp.append(["left", {'x': state["x"], 'y': state["y"], 'direction': "S", 'hydradeIndex': state["hydradeIndex"].copy()}])
return resp
def check(tab, state):
for i in tab:
if i.state == state:
return False
return True
def BFS(istate):
fringe = []
explored = []
x = Node.Node(istate)
fringe.append(x)
while True:
if fringe == []:
return False
elem = fringe.pop(0)
if goalTest(elem.state["hydradeIndex"]):
x = elem
tab = []
while x.parent != None:
tab.append(x.action)
x = x.parent
return tab
explored.append(elem)
for resp in succ(elem.state):
if check(fringe, resp[1]) and check(explored, resp[1]):
x = Node.Node(resp[1])
x.parent = elem
x.action = resp[0]
fringe.append(x)
"""

View File

@ -1,49 +0,0 @@
#THESE DICTIONARIES ARE USED FOR DISPLAY AND FOR DOCUMENTATION PURPOSES
seasons={
0:"zima",
1:"wiosna",
2:"lato",
3:"jesien"}
time={
0:"rano",
1:"poludnie",
2:"wieczor",
3:"noc"}
rain={
0:"brak",
1:"lekki deszcz",
2:"normalny deszcz",
3:"ulewa"
}
temperature={
0:"bardzo zimno",
1:"zimno",
2:"przecietnie",
3:"cieplo",
4:"upal",}
def getNextSeason(season):
if(season==3):
return 0
else:
return season+1
def getNextTime(currentTime):
if(currentTime==3):
return 0
else:
return currentTime+1
def getAmount(type):
if(type=="seasons"):
return len(seasons)
if(type=="rain"):
return len(rain)
if(type=="time"):
return len(time)
if(type=="temperature"):
return len(temperature)

View File

@ -1,47 +0,0 @@
import random
import Climate
import Ui
class Condition:
def __init__(self):
self.season=self.setRandomSeason()
self.currentTime=self.setRandomTime()
self.rain=self.setRandomRain()
self.temperature=self.setRandomRain()
self.clock=0
def setRandomSeason(self):
return self.randomizer(Climate.getAmount("seasons"))
def setRandomTime(self):
return self.randomizer(Climate.getAmount("time"))
def setRandomRain(self):
return self.randomizer(Climate.getAmount("rain"))
def setRandomTemperature(self):
return self.randomizer(Climate.getAmount("temperature"))
def randomizer(self,max):
return random.randint(0,max-1)
def cycle(self):
if(self.clock==11):
self.currentTime=0
self.rain=self.setRandomRain()
self.temperature=self.setRandomTemperature()
self.season=Climate.getNextSeason(self.season)
self.clock=0
return
else:
self.currentTime=Climate.getNextTime(self.currentTime)
self.rain=self.setRandomRain()
self.temperature=self.setRandomTemperature()
self.clock=self.clock+1
def return_condition(self):
return [self.temperature,self.rain,self.season,self.currentTime]
def getCondition(self):
return ([Climate.temperature[self.temperature],Climate.rain[self.rain],Climate.seasons[self.season],Climate.time[self.currentTime]])

File diff suppressed because it is too large Load Diff

View File

@ -1,248 +0,0 @@
plant_water_level,growth,disease,fertility,tractor_water_level,temperature,rain,season,current_time,action
1,20,0,40,60,2,0,2,1,1
20,40,0,40,60,2,0,2,1,1
87,20,0,40,60,2,0,2,1,0
27,43,1,40,60,2,0,2,1,0
89,56,1,40,60,2,1,1,1,0
67,100,1,37,55,1,3,3,3,0
67,40,1,87,90,4,0,1,0,0
1,20,0,40,60,2,0,0,1,0
20,40,0,40,60,2,0,0,1,0
87,20,0,56,45,2,0,0,2,0
27,43,1,40,60,2,0,0,3,0
89,56,1,40,89,2,1,0,1,0
67,100,1,37,55,1,3,0,3,0
67,40,1,87,90,4,0,0,0,0
1,100,0,45,20,2,0,2,1,0
20,100,0,40,34,0,1,2,0,0
87,100,0,56,60,2,0,1,1,0
27,100,0,89,67,1,2,2,2,0
89,100,0,40,60,2,1,1,1,0
76,100,0,37,55,1,3,3,3,0
67,100,0,87,90,4,0,1,0,0
1,20,0,40,0,2,0,2,1,0
20,40,0,40,0,2,0,2,1,0
87,20,0,40,0,2,0,2,1,0
27,43,1,40,0,2,0,2,1,0
89,56,1,40,0,2,1,1,1,0
67,100,1,37,0,1,3,3,3,0
67,40,1,87,0,4,0,1,0,0
1,20,0,40,0,2,0,0,1,0
20,40,0,40,0,2,0,0,1,0
87,20,0,56,0,2,0,0,2,0
27,43,1,40,0,2,0,0,3,0
89,56,1,40,0,2,1,0,1,0
67,100,1,37,0,1,3,0,3,0
67,40,1,87,0,4,0,0,0,0
1,100,0,45,0,2,0,2,1,0
20,100,0,40,0,0,1,2,0,0
87,100,0,56,0,2,0,1,1,0
27,100,0,89,0,1,2,2,2,0
89,100,0,40,0,2,1,1,1,0
76,100,0,37,0,1,3,3,3,0
67,100,0,87,0,4,0,1,0,0
1,45,0,56,44,2,1,1,1,1
20,55,0,43,34,2,0,2,2,1
15,23,0,23,26,2,1,3,3,1
45,67,0,12,67,3,0,1,0,1
59,88,0,34,87,3,0,2,1,1
32,32,0,32,90,3,0,3,2,1
44,43,0,19,27,2,0,1,3,1
33,11,0,28,76,2,0,2,0,1
54,90,0,44,5,3,0,3,1,1
21,76,0,50,25,3,1,1,2,1
29,64,0,38,36,2,0,2,3,1
11,54,0,65,44,3,1,1,2,1
23,55,0,34,43,3,0,2,1,1
51,32,0,32,62,3,1,3,3,1
54,76,0,21,76,2,0,1,2,1
95,88,0,43,78,2,0,2,1,0
23,23,0,23,9,2,0,3,3,1
44,34,0,91,72,3,0,1,0,1
33,11,0,82,67,3,0,2,2,1
45,9,0,44,50,2,0,3,3,1
21,67,0,50,52,2,1,1,0,1
92,46,0,83,63,3,0,2,1,0
20,55,1,43,34,0,0,2,2,0
15,23,1,23,26,0,1,3,3,0
45,67,1,12,67,0,0,1,0,0
59,88,1,34,87,0,0,2,1,0
32,32,0,32,90,0,0,3,2,0
44,43,0,19,27,4,0,1,3,0
33,11,0,28,76,4,0,2,0,0
54,90,0,44,5,4,0,3,1,0
21,76,0,50,25,4,1,1,2,0
29,64,0,38,36,4,0,2,3,0
11,54,0,65,44,0,1,1,2,0
23,55,0,34,43,0,0,2,1,0
51,32,0,32,62,0,1,3,3,0
80,76,1,39,7,3,0,1,0,0
98,77,0,15,91,1,3,2,3,0
3,48,1,73,41,2,2,0,3,0
20,15,1,97,87,4,1,2,1,0
93,6,0,37,0,0,1,0,1,0
4,31,0,1,5,2,3,1,2,0
42,52,0,33,19,3,2,3,0,0
76,43,0,77,18,4,0,0,3,0
31,13,1,21,42,0,1,2,3,0
96,65,1,63,35,1,3,3,2,0
29,39,0,40,37,3,3,0,0,0
82,53,0,55,9,0,1,3,2,0
21,35,0,58,1,1,2,2,0,0
92,98,0,69,16,3,0,0,1,0
34,23,0,95,2,2,3,0,3,0
36,28,0,62,22,0,1,1,1,0
66,88,1,10,85,3,1,2,3,0
53,51,0,79,90,2,2,3,2,0
9,74,0,60,4,4,1,2,3,1
17,0,0,38,58,1,2,3,0,0
12,76,0,50,25,3,1,1,2,1
92,64,0,38,36,2,0,2,3,0
11,54,0,65,44,3,1,1,2,1
32,55,0,34,43,3,0,2,1,1
15,32,0,32,62,3,1,3,3,1
45,76,0,21,76,2,0,1,2,1
59,88,0,43,78,2,0,2,1,1
32,23,0,23,9,2,0,3,3,1
14,34,0,91,72,3,0,1,0,1
13,11,0,82,67,3,0,2,2,1
45,9,0,44,50,2,0,3,3,1
21,67,0,50,52,2,1,1,0,1
92,46,0,83,63,3,0,2,1,0
2,40,1,34,43,1,3,2,2,0
51,32,1,32,62,2,1,3,3,0
54,76,1,21,76,3,0,1,0,0
98,38,0,50,44,4,0,1,0,0
63,7,0,93,79,2,0,2,1,1
91,59,0,94,24,4,0,3,2,0
11,49,0,54,76,2,0,1,3,1
33,31,0,59,39,3,0,1,3,1
28,50,0,26,0,4,0,2,2,0
54,83,0,36,0,3,0,2,1,0
49,78,0,68,0,2,0,3,2,0
59,21,0,43,100,1,0,3,2,1
1,30,0,52,100,2,0,0,3,0
60,9,0,40,40,3,0,0,3,0
85,94,0,87,85,4,0,1,3,0
79,68,0,56,90,1,0,2,2,1
75,22,0,25,95,1,0,3,2,1
100,51,0,33,12,0,0,2,2,0
90,70,0,71,81,0,0,2,1,0
47,26,0,6,78,4,0,1,1,1
14,89,0,70,18,4,0,1,0,1
99,19,0,74,91,2,0,3,0,0
18,48,0,15,32,2,0,3,0,1
5,57,0,14,34,0,1,1,3,1
22,67,0,9,5,0,1,2,2,0
95,81,0,46,86,1,1,3,1,0
39,65,0,84,0,1,1,0,0,0
84,75,0,30,0,2,1,1,1,0
86,41,0,2,67,2,1,2,2,0
64,53,0,53,47,1,1,3,3,1
69,61,0,0,73,2,1,0,0,0
94,40,1,0,18,3,1,1,2,0
62,82,1,20,50,4,1,2,3,0
57,1,1,17,92,0,1,3,2,0
80,35,1,58,45,0,0,3,1,0
30,47,1,8,47,1,0,2,1,0
82,32,0,99,39,1,3,1,3,0
20,84,0,0,51,2,3,2,3,0
42,88,0,0,54,2,2,2,0,0
66,45,0,91,10,3,2,1,0,0
81,14,0,19,55,3,0,1,2,1
74,37,0,88,78,4,0,3,2,1
89,99,0,100,60,4,0,3,3,0
15,20,0,45,11,0,0,1,3,1
92,28,0,85,90,2,0,1,1,0
55,4,0,13,95,2,0,2,1,1
2,6,0,35,0,2,0,2,0,0
61,56,0,90,0,2,0,3,0,0
76,11,0,61,10,3,0,3,1,1
26,80,0,57,9,3,0,1,2,1
40,44,0,81,8,3,0,2,3,1
50,66,0,23,7,3,0,3,0,1
48,15,0,77,6,2,0,0,1,0
11,54,0,65,44,3,3,1,2,0
23,55,0,34,43,3,3,2,1,0
51,32,0,32,62,3,3,3,3,0
54,76,0,21,76,2,3,1,2,0
95,88,0,43,78,2,3,2,1,0
23,23,0,23,9,2,3,3,3,0
44,34,0,91,72,3,3,1,0,0
33,11,0,82,67,3,3,2,2,0
45,9,0,44,50,2,3,3,3,0
21,67,0,50,52,2,3,1,0,0
92,46,0,83,63,3,3,2,1,0
20,55,1,43,34,0,3,2,2,0
15,23,1,23,26,0,3,3,3,0
45,67,1,12,67,0,3,1,0,0
59,88,1,34,87,0,3,2,1,0
32,32,0,32,90,0,3,3,2,0
1,60,0,55,11,0,1,0,0,1
2,70,0,44,12,1,1,0,1,1
3,44,0,11,13,2,1,0,2,1
4,55,0,34,66,3,0,0,3,1
5,66,0,90,77,0,0,1,2,1
6,22,0,89,88,0,0,2,2,1
7,1,0,45,9,0,1,2,3,1
8,2,0,34,22,3,1,2,3,1
9,3,0,56,34,3,1,0,1,1
10,6,0,78,5,3,0,3,1,1
11,8,0,36,67,2,0,0,0,1
12,59,0,57,23,2,1,1,0,1
13,67,0,29,34,1,1,0,1,1
14,20,0,30,90,1,1,2,2,1
15,21,0,66,89,0,1,3,3,1
44,100,0,91,72,3,3,1,0,0
33,100,0,82,67,3,3,2,2,0
45,100,0,44,50,2,3,3,3,0
21,100,0,50,52,2,3,1,0,0
92,100,0,83,63,3,3,2,1,0
20,100,1,43,34,0,3,2,2,0
15,100,1,23,26,0,3,3,3,0
45,100,1,12,67,0,3,1,0,0
59,100,1,34,87,0,3,2,1,0
32,100,0,32,90,0,3,3,2,0
1,100,0,55,11,0,1,0,0,0
2,100,0,44,12,1,1,0,1,0
3,100,0,11,13,2,1,0,2,0
4,100,0,34,66,3,0,0,3,0
5,100,0,90,77,0,0,1,2,0
6,100,0,89,88,0,0,2,2,0
7,100,0,45,9,0,1,2,3,0
8,100,0,34,22,3,1,2,3,0
9,100,0,56,34,3,1,0,1,0
10,100,0,78,5,3,0,3,1,0
11,100,0,36,67,2,0,0,0,0
12,100,0,57,23,2,1,1,0,0
13,100,0,29,34,1,1,0,1,0
14,100,0,30,90,1,1,2,2,0
15,100,0,66,89,0,1,3,3,0
1,6,0,5,10,4,1,1,3,1
2,7,0,4,20,4,1,2,2,1
3,4,0,11,30,4,1,3,1,1
4,5,0,43,5,2,0,1,2,1
5,6,0,9,17,2,0,2,1,1
6,2,0,98,18,4,0,3,1,1
7,11,0,54,19,4,1,0,2,1
8,20,0,43,22,4,1,1,1,1
9,30,0,65,43,4,1,2,3,1
10,60,0,87,50,1,0,3,3,1
11,80,0,63,76,1,0,0,2,1
12,95,0,75,32,1,1,1,1,1
13,76,0,30,43,2,1,2,0,1
14,2,0,92,9,2,1,3,0,1
1,6,0,5,10,4,3,1,3,0
2,7,0,4,20,4,3,2,2,0
3,4,0,11,30,4,3,3,1,0
4,5,0,43,5,2,3,1,2,0
5,6,0,9,17,2,3,2,1,0
6,2,0,98,18,4,3,3,1,0
7,11,0,54,19,4,3,0,2,0
8,20,0,43,22,4,3,1,1,0
9,30,0,65,43,4,3,2,3,0
10,60,0,87,50,1,3,3,3,0
11,80,0,63,76,1,3,0,2,0
12,95,0,75,32,1,3,1,1,0
13,76,0,30,43,2,3,2,0,0
14,2,0,92,9,2,3,3,0,0
1 plant_water_level growth disease fertility tractor_water_level temperature rain season current_time action
2 1 20 0 40 60 2 0 2 1 1
3 20 40 0 40 60 2 0 2 1 1
4 87 20 0 40 60 2 0 2 1 0
5 27 43 1 40 60 2 0 2 1 0
6 89 56 1 40 60 2 1 1 1 0
7 67 100 1 37 55 1 3 3 3 0
8 67 40 1 87 90 4 0 1 0 0
9 1 20 0 40 60 2 0 0 1 0
10 20 40 0 40 60 2 0 0 1 0
11 87 20 0 56 45 2 0 0 2 0
12 27 43 1 40 60 2 0 0 3 0
13 89 56 1 40 89 2 1 0 1 0
14 67 100 1 37 55 1 3 0 3 0
15 67 40 1 87 90 4 0 0 0 0
16 1 100 0 45 20 2 0 2 1 0
17 20 100 0 40 34 0 1 2 0 0
18 87 100 0 56 60 2 0 1 1 0
19 27 100 0 89 67 1 2 2 2 0
20 89 100 0 40 60 2 1 1 1 0
21 76 100 0 37 55 1 3 3 3 0
22 67 100 0 87 90 4 0 1 0 0
23 1 20 0 40 0 2 0 2 1 0
24 20 40 0 40 0 2 0 2 1 0
25 87 20 0 40 0 2 0 2 1 0
26 27 43 1 40 0 2 0 2 1 0
27 89 56 1 40 0 2 1 1 1 0
28 67 100 1 37 0 1 3 3 3 0
29 67 40 1 87 0 4 0 1 0 0
30 1 20 0 40 0 2 0 0 1 0
31 20 40 0 40 0 2 0 0 1 0
32 87 20 0 56 0 2 0 0 2 0
33 27 43 1 40 0 2 0 0 3 0
34 89 56 1 40 0 2 1 0 1 0
35 67 100 1 37 0 1 3 0 3 0
36 67 40 1 87 0 4 0 0 0 0
37 1 100 0 45 0 2 0 2 1 0
38 20 100 0 40 0 0 1 2 0 0
39 87 100 0 56 0 2 0 1 1 0
40 27 100 0 89 0 1 2 2 2 0
41 89 100 0 40 0 2 1 1 1 0
42 76 100 0 37 0 1 3 3 3 0
43 67 100 0 87 0 4 0 1 0 0
44 1 45 0 56 44 2 1 1 1 1
45 20 55 0 43 34 2 0 2 2 1
46 15 23 0 23 26 2 1 3 3 1
47 45 67 0 12 67 3 0 1 0 1
48 59 88 0 34 87 3 0 2 1 1
49 32 32 0 32 90 3 0 3 2 1
50 44 43 0 19 27 2 0 1 3 1
51 33 11 0 28 76 2 0 2 0 1
52 54 90 0 44 5 3 0 3 1 1
53 21 76 0 50 25 3 1 1 2 1
54 29 64 0 38 36 2 0 2 3 1
55 11 54 0 65 44 3 1 1 2 1
56 23 55 0 34 43 3 0 2 1 1
57 51 32 0 32 62 3 1 3 3 1
58 54 76 0 21 76 2 0 1 2 1
59 95 88 0 43 78 2 0 2 1 0
60 23 23 0 23 9 2 0 3 3 1
61 44 34 0 91 72 3 0 1 0 1
62 33 11 0 82 67 3 0 2 2 1
63 45 9 0 44 50 2 0 3 3 1
64 21 67 0 50 52 2 1 1 0 1
65 92 46 0 83 63 3 0 2 1 0
66 20 55 1 43 34 0 0 2 2 0
67 15 23 1 23 26 0 1 3 3 0
68 45 67 1 12 67 0 0 1 0 0
69 59 88 1 34 87 0 0 2 1 0
70 32 32 0 32 90 0 0 3 2 0
71 44 43 0 19 27 4 0 1 3 0
72 33 11 0 28 76 4 0 2 0 0
73 54 90 0 44 5 4 0 3 1 0
74 21 76 0 50 25 4 1 1 2 0
75 29 64 0 38 36 4 0 2 3 0
76 11 54 0 65 44 0 1 1 2 0
77 23 55 0 34 43 0 0 2 1 0
78 51 32 0 32 62 0 1 3 3 0
79 80 76 1 39 7 3 0 1 0 0
80 98 77 0 15 91 1 3 2 3 0
81 3 48 1 73 41 2 2 0 3 0
82 20 15 1 97 87 4 1 2 1 0
83 93 6 0 37 0 0 1 0 1 0
84 4 31 0 1 5 2 3 1 2 0
85 42 52 0 33 19 3 2 3 0 0
86 76 43 0 77 18 4 0 0 3 0
87 31 13 1 21 42 0 1 2 3 0
88 96 65 1 63 35 1 3 3 2 0
89 29 39 0 40 37 3 3 0 0 0
90 82 53 0 55 9 0 1 3 2 0
91 21 35 0 58 1 1 2 2 0 0
92 92 98 0 69 16 3 0 0 1 0
93 34 23 0 95 2 2 3 0 3 0
94 36 28 0 62 22 0 1 1 1 0
95 66 88 1 10 85 3 1 2 3 0
96 53 51 0 79 90 2 2 3 2 0
97 9 74 0 60 4 4 1 2 3 1
98 17 0 0 38 58 1 2 3 0 0
99 12 76 0 50 25 3 1 1 2 1
100 92 64 0 38 36 2 0 2 3 0
101 11 54 0 65 44 3 1 1 2 1
102 32 55 0 34 43 3 0 2 1 1
103 15 32 0 32 62 3 1 3 3 1
104 45 76 0 21 76 2 0 1 2 1
105 59 88 0 43 78 2 0 2 1 1
106 32 23 0 23 9 2 0 3 3 1
107 14 34 0 91 72 3 0 1 0 1
108 13 11 0 82 67 3 0 2 2 1
109 45 9 0 44 50 2 0 3 3 1
110 21 67 0 50 52 2 1 1 0 1
111 92 46 0 83 63 3 0 2 1 0
112 2 40 1 34 43 1 3 2 2 0
113 51 32 1 32 62 2 1 3 3 0
114 54 76 1 21 76 3 0 1 0 0
115 98 38 0 50 44 4 0 1 0 0
116 63 7 0 93 79 2 0 2 1 1
117 91 59 0 94 24 4 0 3 2 0
118 11 49 0 54 76 2 0 1 3 1
119 33 31 0 59 39 3 0 1 3 1
120 28 50 0 26 0 4 0 2 2 0
121 54 83 0 36 0 3 0 2 1 0
122 49 78 0 68 0 2 0 3 2 0
123 59 21 0 43 100 1 0 3 2 1
124 1 30 0 52 100 2 0 0 3 0
125 60 9 0 40 40 3 0 0 3 0
126 85 94 0 87 85 4 0 1 3 0
127 79 68 0 56 90 1 0 2 2 1
128 75 22 0 25 95 1 0 3 2 1
129 100 51 0 33 12 0 0 2 2 0
130 90 70 0 71 81 0 0 2 1 0
131 47 26 0 6 78 4 0 1 1 1
132 14 89 0 70 18 4 0 1 0 1
133 99 19 0 74 91 2 0 3 0 0
134 18 48 0 15 32 2 0 3 0 1
135 5 57 0 14 34 0 1 1 3 1
136 22 67 0 9 5 0 1 2 2 0
137 95 81 0 46 86 1 1 3 1 0
138 39 65 0 84 0 1 1 0 0 0
139 84 75 0 30 0 2 1 1 1 0
140 86 41 0 2 67 2 1 2 2 0
141 64 53 0 53 47 1 1 3 3 1
142 69 61 0 0 73 2 1 0 0 0
143 94 40 1 0 18 3 1 1 2 0
144 62 82 1 20 50 4 1 2 3 0
145 57 1 1 17 92 0 1 3 2 0
146 80 35 1 58 45 0 0 3 1 0
147 30 47 1 8 47 1 0 2 1 0
148 82 32 0 99 39 1 3 1 3 0
149 20 84 0 0 51 2 3 2 3 0
150 42 88 0 0 54 2 2 2 0 0
151 66 45 0 91 10 3 2 1 0 0
152 81 14 0 19 55 3 0 1 2 1
153 74 37 0 88 78 4 0 3 2 1
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from sklearn import tree as skltree
import pandas,os
import matplotlib.pyplot as plt
atributes=['plant_water_level','growth','disease','fertility','tractor_water_level','temperature','rain','season','current_time'] #Columns in CSV file has to be in the same order
class Drzewo:
def __init__(self):
self.tree=self.treeLearn()
def treeLearn(self):
csvdata=pandas.read_csv('Data/dataTree2.csv')
#csvdata = pandas.read_csv('Data/dataTree2.csv')
x=csvdata[atributes]
decision=csvdata['action']