forked from s452751/AI_PRO
createTreeData
This commit is contained in:
secret_dude
parent
8098a258f2
commit
bf9fbb1235
20
Field.py
20
Field.py
@ -8,6 +8,14 @@ class Field:
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def state(self):
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return self.__state
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@property
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def horizontal_index(self):
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return self.__horizontal_index
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@property
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def vertical_index(self):
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return self.__vertical_index
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@property
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def cost(self):
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if self.state == 'toPlow':
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@ -17,20 +25,12 @@ class Field:
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elif self.state == 'toFertilize':
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return 3
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elif self.state == 'toWater':
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return 4
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return 200
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elif self.state == 'toCut':
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return 5
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return 99
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else:
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return 0
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@property
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def horizontal_index(self):
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return self.__horizontal_index
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@property
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def vertical_index(self):
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return self.__vertical_index
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@state.setter
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def state(self, state):
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if state == "toPlow" or state == "toWater" or state == "toSeed" or \
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98
FindPath.py
98
FindPath.py
@ -1,21 +1,7 @@
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from constants import *
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from queue import Queue
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class Node:
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def __init__(self, parent: (int, int), index: (int, int)):
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self.__index = index
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self.__parent = parent
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def get_index(self):
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return self.__index
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def get_parent(self):
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return self.__parent
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def whichStateLookingFor(tractor, TillageUnit):
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searching_field = "toPlow"
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searching_field = "none"
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if tractor.header and tractor.hitch == "Crop Trailer":
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searching_field = "toCut"
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elif isinstance(tractor.hitch, TillageUnit) and tractor.hitch.load == "Nothing":
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@ -30,87 +16,15 @@ def whichStateLookingFor(tractor, TillageUnit):
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def nearestLookingField(board, tractor, TillageUnit):
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horizontal_tiles_number = int(HORIZONTAL_TILES_NUMBER)
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vertical_tiles_number = int(VERTICAL_TILES_NUMBER)
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print(horizontal_tiles_number, vertical_tiles_number)
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a = input()
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end_horizontal_index = 0
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end_vertical_index = 0
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searching_field = whichStateLookingFor(tractor, TillageUnit)
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for i in range(horizontal_tiles_number):
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for j in range(vertical_tiles_number):
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for i in range(0, int(HORIZONTAL_TILES_NUMBER)):
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for j in range(0, int(VERTICAL_TILES_NUMBER)):
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field = board[i][j]
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if searching_field == field.state:
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end_horizontal_index = field.horizontal_index
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end_vertical_index = field.vertical_index
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break
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end_horizontal_index = field.horizontal_index / TILE_SIZE
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end_vertical_index = field.vertical_index / TILE_SIZE
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return end_horizontal_index, end_vertical_index
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def graphsearch(tractor, board, TillageUnit, fringe: Queue, explored):
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start_horizontal_index = tractor.horizontal_index
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start_vertical_index = tractor.vertical_index
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start_state = (start_horizontal_index, start_vertical_index)
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end_state = nearestLookingField(board, tractor, TillageUnit)
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print(start_state)
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print(end_state)
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fringe.put(start_state)
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while True:
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if fringe.empty():
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return False
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elem = fringe.get()
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if goaltest(elem, end_state):
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break
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#TODO
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#return droga ktora musi pokonac traktor
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else:
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explored.append(elem)
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elem = succ(start_state, end_state, tractor)
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fringe.put(elem)
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def goaltest(elem, end_state):
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print('element:', elem, 'state:', end_state)
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if elem == end_state:
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return True
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else:
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return False
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def succ(start_state, end_state, tractor):
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print(tractor.horizontal_index, ' ', tractor.vertical_index)
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a = input()
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if start_state[1] < end_state[1]:
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if tractor.direction == "RIGHT":
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tractor.drive()
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print("przesunalem sie w prawo")
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else:
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tractor.direction = "RIGHT"
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elif start_state[1] > end_state[1]:
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if tractor.direction == "LEFT":
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tractor.drive()
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print("przesunalem sie w lewo")
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else:
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tractor.direction = "LEFT"
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elif start_state[0] < end_state[0]:
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if tractor.direction == "DOWN":
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tractor.drive()
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print("przesunalem sie w dol")
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else:
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tractor.direction = "DOWN"
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elif start_state[0] > end_state[0]:
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if tractor.direction == "UP":
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tractor.drive()
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print("przesunalem sie w gore")
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else:
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tractor.direction = "UP"
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else:
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return tractor.horizontal_index, tractor.horizontal_index
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return end_horizontal_index, end_vertical_index
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221
Testfile.py
221
Testfile.py
@ -0,0 +1,221 @@
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from itertools import product
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import numpy as np
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import pandas as pd
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import csv
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import id3test
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import pprint
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import sys
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import pandas
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from sklearn import tree
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import pydotplus
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from sklearn.tree import DecisionTreeClassifier
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import matplotlib.pyplot as plt
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import matplotlib.image as pltimg
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field_states = ['toPlow', 'toWater', 'toSeed', 'toFertilize', 'toCut']
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header = ['Equipped', 'Not Equipped']
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hitch = ['Tillage Unit', 'Crop Trailer']
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tillage_unit = ['Seeds', 'Water', 'Fertilizer', 'Nothing']
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engine_working = ['Yes', 'No']
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in_base = ['Yes', 'No']
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fuel = ['Enough', 'Not_Enough']
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# output = list(product(field_states, header, hitch, tillage_unit, engine_working, in_base, fuel))
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output = list(product(field_states, header, hitch, tillage_unit, in_base))
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dict = []
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# for x in range(len(output)):
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# # dict.append({'field': output[x][0], 'header' : output[x][1], 'hitch' : output[x][2],
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# # 'tillage_unit' : output[x][3], 'engine_working' : output[x][4],
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# # 'in_base' : output[x][5], 'fuel': output[x][6]})
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# print(x+1, output[x])
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decisions = []
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curr_decision = "Make Action"
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for x in range(len(output)):
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aField = output[x][0]
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aHeader = output[x][1]
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aHitch = output[x][2]
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aTillage_unit = output[x][3]
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aIn_base = output[x][4]
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while True:
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curr_decision = "Make Action"
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if aField == 'toCut':
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if not aHeader == 'Equipped':
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if aIn_base == 'Yes':
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curr_decision = 'Change Header'
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break
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else:
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curr_decision = 'Go To Base'
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break
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if not aHitch == 'Crop Trailer':
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if aIn_base == 'Yes':
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curr_decision = 'Change Hitch'
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break
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else:
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curr_decision = 'Go To Base'
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break
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if aField == 'toPlow':
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if aHeader == 'Equipped':
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if aIn_base == "Yes":
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curr_decision = 'Change Header'
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break
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else:
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curr_decision = 'Go To Base'
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break
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if not aHitch == "Tillage Unit":
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if aIn_base == "Yes":
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curr_decision = "Change Hitch"
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break
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else:
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curr_decision = "Go To Base"
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break
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if not aTillage_unit == "Nothing":
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if aIn_base == "Yes":
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curr_decision = "Change Load"
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break
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else:
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curr_decision = "Go To Base"
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break
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if aField == 'toSeed':
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if aHeader == 'Equipped':
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if aIn_base == "Yes":
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curr_decision = 'Change Header'
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break
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else:
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curr_decision = 'Go To Base'
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break
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if not aHitch == "Tillage Unit":
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if aIn_base == "Yes":
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curr_decision = "Change Hitch"
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break
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else:
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curr_decision = "Go To Base"
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break
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if not aTillage_unit == "Seeds":
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if aIn_base == "Yes":
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curr_decision = "Change Load"
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break
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else:
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curr_decision = "Go To Base"
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break
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if aField == 'toWater':
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if aHeader == 'Equipped':
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if aIn_base == "Yes":
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curr_decision = 'Change Header'
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break
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else:
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curr_decision = 'Go To Base'
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break
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if not aHitch == "Tillage Unit":
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if aIn_base == "Yes":
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curr_decision = "Change Hitch"
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break
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else:
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curr_decision = "Go To Base"
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break
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if not aTillage_unit == "Water":
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if aIn_base == "Yes":
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curr_decision = "Change Load"
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break
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else:
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curr_decision = "Go To Base"
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break
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if aField == 'toFertilize':
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if aHeader == 'Equipped':
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if aIn_base == "Yes":
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curr_decision = 'Change Header'
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break
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else:
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curr_decision = 'Go To Base'
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break
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if not aHitch == "Tillage Unit":
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if aIn_base == "Yes":
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curr_decision = "Change Hitch"
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break
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else:
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curr_decision = "Go To Base"
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break
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if not aTillage_unit == "Fertilizer":
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if aIn_base == "Yes":
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curr_decision = "Change Load"
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break
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else:
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curr_decision = "Go To Base"
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break
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if aIn_base == 'Yes':
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curr_decision = 'Go To Field'
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break
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dict.append({'Field': aField, 'Header': aHeader, 'Hitch': aHitch, 'Tillage_Unit': aTillage_unit,
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'In_Base': aIn_base, 'Decision': curr_decision})
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print(dict)
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fields = ['Field', 'Header', 'Hitch', 'Tillage_Unit', 'In_Base', 'Decision']
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filename = "treedata\\data2.csv"
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with open(filename, 'w') as csvfile:
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writer = csv.DictWriter(csvfile, fieldnames=fields)
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writer.writeheader()
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writer.writerows(dict)
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df = pandas.read_csv("treedata\\data2.csv")
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print(df)
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# Map text values to number values
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d = {'toPlow': 0, 'toWater': 1, 'toSeed': 2, 'toFertilize': 3, 'toCut': 4}
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df['Field'] = df['Field'].map(d)
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d = {'Not Equipped': 0, 'Equipped': 1}
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df['Header'] = df['Header'].map(d)
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d = {'Tillage Unit': 0, 'Crop Trailer': 1}
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df['Hitch'] = df['Hitch'].map(d)
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d = {'Nothing': 0, 'Seeds': 1, 'Water': 2, 'Fertilizer': 3}
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df['Tillage_Unit'] = df['Tillage_Unit'].map(d)
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d = {'No': 0, 'Yes': 1}
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df['In_Base'] = df['In_Base'].map(d)
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d = {'Make Action': 0, 'Change Header': 1, 'Go To Base': 2, 'Change Hitch': 3, 'Change Load': 4, 'Go To Field': 5}
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df['Decision'] = df['Decision'].map(d)
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# Separate the feature columns from targert columns
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features = ['Field', 'Header', 'Hitch', 'Tillage_Unit', 'In_Base']
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X = df[features]
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y = df['Decision']
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# FIELD 'toPlow' : 0, 'toWater' : 1, 'toSeed' : 2, 'toFertilize' : 3, 'toCut' : 4
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# HEADER 'Not Equipped' : 0, 'Equipped' : 1
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# HITCH 'Tillage Unit' : 0, 'Crop Trailer' : 1
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# TILLAGE 'Nothing' : 0, 'Seeds' : 1, 'Water': 2, 'Fertilizer': 3
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# IN BASE 'No' : 0, 'Yes' : 1
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dtree = DecisionTreeClassifier()
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dtree = dtree.fit(X, y)
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data = tree.export_graphviz(dtree, out_file=None, feature_names=features)
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graph = pydotplus.graph_from_dot_data(data)
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graph.write_png('mydecisiontree.png')
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img = pltimg.imread('mydecisiontree.png')
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imgplot = plt.imshow(img)
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plt.show()
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print(dtree.predict([[0, 1, 1, 3, 0]]))
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31
Tractor.py
31
Tractor.py
@ -94,7 +94,6 @@ class Tractor:
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@direction.setter
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def direction(self, direction):
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if direction == "UP" or direction == "DOWN" or direction == "RIGHT" or direction == "LEFT":
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self.__direction = direction
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@ -111,3 +110,33 @@ class Tractor:
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elif self.__direction == "LEFT" and self.horizontal_index > 0:
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self.__horizontal_index += -mRange
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self.reduce_fuel()
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def left_rotation(self):
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if self.__direction == "UP":
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self.__direction = "LEFT"
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elif self.__direction == "LEFT":
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self.__direction = "DOWN"
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elif self.__direction == "DOWN":
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self.__direction = "RIGHT"
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elif self.__direction == "RIGHT":
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self.__direction = "UP"
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def right_rotation(self):
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if self.__direction == "UP":
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self.__direction = "RIGHT"
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elif self.__direction == "RIGHT":
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self.__direction = "DOWN"
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elif self.__direction == "DOWN":
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self.__direction = "LEFT"
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elif self.__direction == "LEFT":
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self.__direction = "UP"
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def auto_movement(self, move):
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if move == "Move":
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self.drive()
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elif move == "Left_Rotation":
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self.left_rotation()
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elif move == "Right_Rotation":
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self.right_rotation()
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10
constants.py
10
constants.py
@ -29,8 +29,14 @@ TRACTOR_WIDTH = TILE_SIZE
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TRACTOR_HEIGHT = TILE_SIZE
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#FRAMES PER SECOND
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FPS = 10
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FPS = 5
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#ANIMATION_PART
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ANIMATION_PART = 11
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ANIMATION_PART = 1
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TRACTOR_DIRECTION_RIGHT = 2
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TRACTOR_DIRECTION_UP = 1
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TRACTOR_DIRECTION_DOWN = 3
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TRACTOR_DIRECTION_LEFT = 4
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101
createTreeData.py
Normal file
101
createTreeData.py
Normal file
@ -0,0 +1,101 @@
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from itertools import product
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import numpy as np
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import pandas as pd
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import csv
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import id3test
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import pprint
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import sys
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import pandas
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from sklearn import tree
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import pydotplus
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from sklearn.tree import DecisionTreeClassifier
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import matplotlib.pyplot as plt
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import matplotlib.image as pltimg
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# stan pola: toCut, toPlow, toWater, toSeed, toFertilize
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# pora dnia: dzień, noc
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# pogoda: sunny, cloudy, rainy, hail
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# temperatura: freezing, cold, mild, hot
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# wiatr: windless, strong wind, gale
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# humidy: low, high
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field_states = ['toPlow', 'toWater', 'toSeed', 'toFertilize', 'toCut']
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day_time = ['Day', 'Night']
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weather = ['Clear Sky', 'Cloudy', 'Rainy', 'Hail']
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temperature = ['Freezing', 'Cold', 'Mild', 'Hot']
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wind = ['Windless', 'Strong Wind', 'Gale']
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humidy = ['Low', 'High']
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output = list(product(field_states, day_time, weather, temperature, wind, humidy))
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dict = []
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for x in range(len(output)):
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while True:
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mField = output[x][0]
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mDay_time = output[x][1]
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mWeather = output[x][2]
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mTemperature = output[x][3]
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mWind = output[x][4]
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mHumidy = output[x][5]
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mDecision = 'null'
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# pora dnia: dzień 2, noc -2
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# pogoda: sunny+3, cloudy+3, rainy-2, hail-5
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# temperatura: freezing -3, cold-1, mild+4, hot+2
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# wiatr: windless +2, strong wind-1, gale-3
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# humidy: low+2, high-3
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if mDay_time == 'Day':
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valDay_time = 2
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else:
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valDay_time = -3
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if mWeather == 'Sunny' or 'Cloudy':
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valWeather = 3
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elif mWeather == 'Rainy':
|
||||
valWeather = -2
|
||||
else:
|
||||
valWeather = -5
|
||||
|
||||
if mTemperature == 'Freezing':
|
||||
valTemperature = -3
|
||||
elif mTemperature == 'Cold':
|
||||
valTemperature = -1
|
||||
elif mTemperature == 'Mild':
|
||||
valTemperature = 4
|
||||
else:
|
||||
valTemperature = 2
|
||||
|
||||
if mWind == 'Windless':
|
||||
valWind = +2
|
||||
elif mWind == 'Strong Wind':
|
||||
valWind = -1
|
||||
else:
|
||||
valWind = -3
|
||||
|
||||
if humidy == 'Low':
|
||||
valHumidy = 2
|
||||
else:
|
||||
valHumidy = -2
|
||||
|
||||
result = valDay_time + valWeather + valTemperature + valWind + valHumidy
|
||||
if result >= 0:
|
||||
mDecision = "Make Action"
|
||||
else:
|
||||
mDecision = "Wait"
|
||||
|
||||
break
|
||||
|
||||
dict.append({'Field': mField, 'Day Time': mDay_time, 'Weather': mWeather,
|
||||
'Temperature': mTemperature, 'Wind': mWind, 'Humidy': mHumidy, 'Decision': mDecision})
|
||||
|
||||
fields = ['Field', 'Day Time', 'Weather', 'Temperature', 'Wind', 'Humidy', 'Decision']
|
||||
|
||||
filename = "treedata\\data3.csv"
|
||||
|
||||
with open(filename, 'w') as csvfile:
|
||||
writer = csv.DictWriter(csvfile, fieldnames=fields)
|
||||
writer.writeheader()
|
||||
writer.writerows(dict)
|
||||
36
main.py
36
main.py
@ -1,15 +1,15 @@
|
||||
import pygame
|
||||
|
||||
import Board
|
||||
import FindPath
|
||||
import TractorAction
|
||||
import drawUI
|
||||
from FindPath import graphsearch
|
||||
import graph
|
||||
from Testfile import dtree
|
||||
from Tractor import Tractor
|
||||
from TractorLoad import TillageUnit
|
||||
from animations import animationsOn, animationsOff
|
||||
from constants import *
|
||||
from manualSteering import manualSteeringDriver
|
||||
from queue import Queue
|
||||
|
||||
pygame.init()
|
||||
|
||||
@ -27,11 +27,13 @@ toolCounter = - 1
|
||||
|
||||
board = Board.generate()
|
||||
|
||||
tractor = Tractor(horizontal_index=-0, vertical_index=0, hitch="nothing", header=False, autodrive=False,
|
||||
direction='RIGHT')
|
||||
tractor = Tractor(horizontal_index=-0, vertical_index=0, hitch="nothing", header=False, autodrive=True,
|
||||
direction="RIGHT")
|
||||
|
||||
tillageUnit = TillageUnit("Nothing")
|
||||
|
||||
tractor.turnOnEngine()
|
||||
move_list = []
|
||||
|
||||
clock = pygame.time.Clock()
|
||||
|
||||
@ -45,23 +47,27 @@ while working:
|
||||
|
||||
field = board[tractor.horizontal_index][tractor.vertical_index]
|
||||
|
||||
print("curr field cost", field.cost)
|
||||
print("tractor dir", tractor.direction)
|
||||
if tractor.autodrive and tractor.engineWorking:
|
||||
animationSpeed = ANIMATION_PART
|
||||
else:
|
||||
animationSpeed = 1
|
||||
print(ANIMATION_PART)
|
||||
# decision = dtree.predict([field_state, day_time, weather, temperature, wind, humidy]) == 1
|
||||
# weather, temperature, wind, humidy = Weather.check_weather()
|
||||
decision = 'Make Action'
|
||||
|
||||
if tractor.autodrive:
|
||||
tractor, tillageUnit, toolCounter = TractorAction.autoToolsChange(tractor, tillageUnit, toolCounter)
|
||||
if not move_list and decision == 'Make Action':
|
||||
field.state = TractorAction.changeFieldState(field, tractor)
|
||||
istate = graph.Istate(tractor.direction, tractor.horizontal_index, tractor.vertical_index)
|
||||
move_list = graph.graphsearch([], [], istate, FindPath.nearestLookingField(board, tractor, TillageUnit), board)
|
||||
print(move_list)
|
||||
|
||||
elif move_list:
|
||||
tractor.auto_movement(move_list.pop(0))
|
||||
#TractorAction.changeFieldState(field, tractor)
|
||||
|
||||
if field.horizontal_index == 0 and field.vertical_index == 0 and not move_list:
|
||||
tractor, tillageUnit, toolCounter = TractorAction.autoToolsChange(tractor, tillageUnit, toolCounter)
|
||||
|
||||
drawUI.drawUI(board, display, tractor, tractor.direction, tillageUnit, field, animationSpeed)
|
||||
|
||||
clock.tick(FPS)
|
||||
|
||||
#graphsearch(tractor, board, TillageUnit, Queue(), list())
|
||||
|
||||
pygame.quit()
|
||||
quit()
|
||||
@ -51,13 +51,12 @@ def manualSteeringDriver(event, board, tractor, hitchCounter, tillageUnit, loadC
|
||||
|
||||
|
||||
def manualTurning(event, tractor):
|
||||
tractor.direction = "STOP"
|
||||
if event.type == pygame.KEYDOWN:
|
||||
if event.key == pygame.K_LEFT and tractor.horizontal_index > 0:
|
||||
tractor.direction = "LEFT"
|
||||
tractor.direction = TRACTOR_DIRECTION_LEFT
|
||||
elif event.key == pygame.K_RIGHT and tractor.horizontal_index < HORIZONTAL_TILES_NUMBER - 1:
|
||||
tractor.direction = "RIGHT"
|
||||
tractor.direction = TRACTOR_DIRECTION_RIGHT
|
||||
elif event.key == pygame.K_UP and tractor.vertical_index > 0:
|
||||
tractor.direction = "UP"
|
||||
tractor.direction = TRACTOR_DIRECTION_UP
|
||||
elif event.key == pygame.K_DOWN and tractor.vertical_index < VERTICAL_TILES_NUMBER - 1:
|
||||
tractor.direction = "DOWN"
|
||||
tractor.direction = TRACTOR_DIRECTION_DOWN
|
||||
|
||||
Loading…
Reference in New Issue
Block a user