2024-03-10 02:46:14 +01:00
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import pygame
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2024-05-18 17:10:56 +02:00
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from constant import size, rows, cols
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2024-05-18 22:51:09 +02:00
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from decisiontree import predict
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2024-05-23 02:12:52 +02:00
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from neuralnetwork import predict_image
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2024-05-18 22:51:09 +02:00
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2024-05-18 17:10:56 +02:00
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2024-03-10 02:46:14 +01:00
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class Tractor:
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2024-05-23 02:12:52 +02:00
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def __init__(self, row, col, model, feature_columns, neuralnetwork):
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2024-03-10 02:46:14 +01:00
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self.row = row
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self.col = col
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self.images = {
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2024-03-24 19:28:14 +01:00
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"up": pygame.image.load("tractor/up.png"),
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"down": pygame.image.load("tractor/down.png"),
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"left": pygame.image.load("tractor/left.png"),
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2024-05-18 17:10:56 +02:00
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"right": pygame.image.load("tractor/right.png")
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2024-03-10 02:46:14 +01:00
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}
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self.direction = "down"
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2024-05-18 22:51:09 +02:00
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self.model = model
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self.feature_columns = feature_columns
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2024-05-23 02:12:52 +02:00
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self.neuralnetwork = neuralnetwork
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2024-03-24 19:28:14 +01:00
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2024-03-10 02:46:14 +01:00
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def draw(self, win):
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tractor_image = self.images[self.direction]
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2024-05-18 17:10:56 +02:00
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win.blit(tractor_image, (self.col * size, self.row * size))
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def turn_left(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 turn_right(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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2024-05-23 02:12:52 +02:00
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2024-05-18 17:10:56 +02:00
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def move_forward(self, board):
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if self.direction == "up" and self.row > 0:
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2024-05-18 22:51:09 +02:00
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next_row, next_col = self.row - 1, self.col
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2024-05-18 17:10:56 +02:00
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elif self.direction == "left" and self.col > 0:
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2024-05-18 22:51:09 +02:00
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next_row, next_col = self.row, self.col - 1
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2024-05-18 17:10:56 +02:00
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elif self.direction == "down" and self.row < rows - 1:
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2024-05-18 22:51:09 +02:00
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next_row, next_col = self.row + 1, self.col
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2024-05-18 17:10:56 +02:00
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elif self.direction == "right" and self.col < cols - 1:
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next_row, next_col = self.row, self.col + 1
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else:
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return # Nie możemy się ruszyć poza planszę
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2024-05-23 02:12:52 +02:00
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image_path = board.vegetables[next_row][next_col] # Ścieżka do obrazu warzywa
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# Predykcja warzywa po obrazie
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if image_path is not None:
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print(image_path, "mialo byc")
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vegetable_name = predict_image(image_path, self.neuralnetwork)
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print(vegetable_name, "jest")
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2024-05-18 22:51:09 +02:00
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if board.is_dirt(next_row, next_col) and board.board[next_row][next_col] != 10:
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soil_features = board.soil_features
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sample = {
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"wilgotnosc_gleby": soil_features["wilgotnosc_gleby"],
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"temperatura_gleby": soil_features["temperatura_gleby"],
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"opady_deszczu": soil_features["opady_deszczu"],
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"wiek_rosliny": soil_features["wiek_rosliny"],
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"proc_ekspo_na_swiatlo": soil_features["proc_ekspo_na_swiatlo"],
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"pora_dnia": soil_features["pora_dnia"],
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"pora_roku": soil_features["pora_roku"],
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"roslina": "warzywa/" + str(vegetable_name) + ".png"
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}
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should_water = predict(self.model, self.feature_columns, sample)
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print(f"Predykcja dla pola ({next_row}, {next_col}) z cechami {sample}: {should_water}")
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if should_water[0].strip() == 'tak':
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board.set_soil(next_row, next_col)
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else:
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board.set_fakedirt(next_row, next_col)
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self.row, self.col = next_row, next_col # Przemieszczamy traktor niezależnie od predykcji
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