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12d2ba0d81
...
de69592612
15
App.py
15
App.py
@ -9,7 +9,9 @@ import Osprzet
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import Ui
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import BFS
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import AStar
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import random
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import Condition
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import Drzewo
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bfs1_flag=False
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bfs2_flag=False #Change this lines to show different bfs implementation
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@ -34,7 +36,8 @@ ui=Ui.Ui(screen)
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#Tractor creation
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traktor_slot = pole.get_slot_from_cord((0, 0))
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traktor = Tractor.Tractor(traktor_slot, screen, Osprzet.opryskiwacz,clock,bfs2_flag)
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condition=Condition.Condition()
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drzewo=Drzewo.Drzewo()
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def init_demo(): #Demo purpose
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old_info=""
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@ -114,10 +117,14 @@ def init_demo(): #Demo purpose
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print_to_console("Nie można znaleźć ścieżki A*") # Wyświetl komunikat, jeśli nie znaleziono ścieżki
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if(TreeFlag):
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traktor.move_forward(pole)
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traktor.tree_move()
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drzewo.treeLearn()
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drzewo.plotTree()
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print("Decyzja to: ",drzewo.makeDecision([[10,60,0,1,1,0,20,1,20]]))
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#do moves and condtion cycles
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start_flag=False
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# demo_move()
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condition.cycle() #powinno zostac wrzucone razem z getCondition do ruchu traktora. Aktualnie tutaj by zobaczyc czy dziala
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condition.getCondition()
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old_info=get_info(old_info)
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for event in pygame.event.get():
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if event.type == pygame.QUIT:
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@ -38,10 +38,6 @@ class Condition:
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self.temperature=self.setRandomTemperature()
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self.clock=self.clock+1
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def return_condition(self):
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return [self.temperature,self.rain,self.season,self.currentTime]
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def getCondition(self):
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print(f"Aktualny czas: {Climate.time[self.currentTime]},opady: {Climate.rain[self.rain]},temperatura: {Climate.temperature[self.temperature]}, pora roku: {Climate.seasons[self.season]}")
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@ -1,3 +1,3 @@
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plant_water_level,growth,disease,fertility,tractor_water_level,temperature,rain,season,current_time,action
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80,20,0,90,40,2,0,1,0,0
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50,20,0,90,80,2,0,1,0,1
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plant_water_level,tractor_water_level,temperature,rain,season,current_time,growth,disease,fertility,action
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80,60,3,2,1,0,20,1,20,0
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20,60,3,0,1,0,20,1,20,1
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@ -2,7 +2,7 @@ from sklearn import tree as skltree
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import pandas,os
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import matplotlib.pyplot as plt
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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
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atributes=['plant_water_level','tractor_water_level','temperature','rain','season','current_time','growth','disease','fertility'] #Columns in CSV file should be in the same order
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class Drzewo:
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def __init__(self):
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self.tree=self.treeLearn()
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@ -12,14 +12,14 @@ class Drzewo:
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x=csvdata[atributes]
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decision=csvdata['action']
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self.tree=skltree.DecisionTreeClassifier()
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self.tree=self.tree.fit(x.values,decision)
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self.tree=self.tree.fit(x,decision)
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def plotTree(self):
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plt.figure()
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skltree.plot_tree(self.tree,filled=True,feature_names=atributes)
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plt.title("Drzewo decyzyjne wytrenowane na przygotowanych danych")
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plt.savefig('tree.png')
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plt.show()
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def makeDecision(self,values):
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action=self.tree.predict([values]) #0- nie podlewac, 1-podlewac
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action=self.tree.predict(values) #0- nie podlewac, 1-podlewac
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return action
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2
Image.py
2
Image.py
@ -37,7 +37,7 @@ class Image:
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self.gasStation_image=pygame.transform.scale(gasStation,(dCon.CUBE_SIZE,dCon.CUBE_SIZE))
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def return_random_plant(self):
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x=random.randint(0,5) #disabled dirt and mud generation
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x=random.randint(0,7)
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keys=list(self.plants_image_dict.keys())
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plant=keys[x]
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return (plant,self.plants_image_dict[plant])
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@ -110,9 +110,6 @@ class Roslina:
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def return_stan(self):
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return self.stan
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def return_stan_for_tree(self):
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return self.stan.return_stan_for_tree()
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def get_hydrate_stats(self):
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return self.stan.return_hydrate()
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4
Slot.py
4
Slot.py
@ -82,6 +82,4 @@ class Slot:
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self.plant.stan.nawodnienie=random.randint(61,100)
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elif(index==-1):
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pass
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def return_stan_for_tree(self):
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return self.plant.return_stan_for_tree()
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19
Stan.py
19
Stan.py
@ -5,7 +5,7 @@ class Stan:
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nawodnienie = None #[int] 0-100 (0-60: trzeba podlać), spada w zaleznosci od rosliny: aktualizowane bedzie "w tle"
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zyznosc = None #[int] 0-100 (0-60: trzeba użyźnić), spada w zaleznosci od rosliny: aktualizowane bedzie "w tle"
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wzrost = None #[int] 0-100 (75-100: scinanie), wzrasta w zaleznosci od rosliny: aktualizowane bedzie "w tle"
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choroba = None #[int] brak-0,choroba-1
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choroba = None #[string] brak, grzyb, bakteria, pasożyt
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akcja = None #[Akcja]
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koszt = None #[int] 0-15, im więcej tym trudniej wjechać
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@ -24,7 +24,7 @@ class Stan:
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self.nawodnienie=random.randint(0,100)
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self.zyznosc=random.randint(0,100)
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self.wzrost=random.randint(0,100)
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self.choroba=random.randint(0,1)
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self.choroba=random.choice(["brak","grzyb","bakteria","pasozyt"])
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def checkStan(self):
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# sprawdza stan rośliny i podejmuje akcje jeśli potrzebna
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@ -47,19 +47,6 @@ class Stan:
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def return_hydrate(self):
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return self.nawodnienie
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def return_disease(self):
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return self.choroba
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def return_disease_as_string(self):
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if(self.choroba==0):
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return "Zdrowa"
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if(self.choroba==1):
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return "Chora"
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def return_stan_for_tree(self):
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return [self.nawodnienie,self.wzrost,self.choroba,self.zyznosc]
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def report_all(self):
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return f"Nawodnienie: {self.nawodnienie} Zyznosc: {self.zyznosc} Wzrost: {self.wzrost} Choroba: {self.return_disease_as_string()}"
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return f"Nawodnienie: {self.nawodnienie} Zyznosc: {self.zyznosc} Wzrost: {self.wzrost} Choroba: {self.choroba} Koszt wejścia: {self.koszt}"
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17
Tractor.py
17
Tractor.py
@ -7,12 +7,6 @@ import displayControler as dCon
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import Slot
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import Osprzet
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import Node
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import Condition
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import Drzewo
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condition=Condition.Condition()
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drzewo=Drzewo.Drzewo()
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tab = [-1, 0, 0, 0, 0, 1, 1, 1, 1, 1,
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1, 1, 1, 1, 1, 0, 1, 0, 1, 1,
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@ -63,17 +57,6 @@ class Tractor:
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self.current_tractor_image = self.tractor_images[self.direction]
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self.draw_tractor()
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def tree_move(self):
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drzewo.treeLearn()
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drzewo.plotTree()
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slot_attributes=self.slot.return_stan_for_tree()
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climate_attributes=condition.return_condition()
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attributes=[]
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attributes=attributes+slot_attributes+[self.waterLevel]+climate_attributes
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print("Decyzja czy podlac:",drzewo.makeDecision(attributes),"Atrybuty tego stanu to:",attributes)
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#TODO SNAKE MOVE AND USING drzewo.makeDecision(attributes)for each slot. Also we need to cycle climate for each slot change by
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#condition.cycle()
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#condition.getCondition()
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def turn_right(self):
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# zmiana kierunku w prawo
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direction_map = {
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