From 5a6e5181e8fe0b3bd5fb2795f4af96384802c308 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dominik=20Cupa=C5=82?= Date: Wed, 23 Jun 2021 11:07:35 +0200 Subject: [PATCH] add decision tree --- Readme.md | 2 +- app/__init__.py | 1 + app/board.py | 13 ++++++-- app/decision_tree.py | 68 +++++++++++++++++++++++++++++++++++++++++ app/fields.py | 15 +++++++++ app/tractor.py | 20 ++++++++++++ app/weather.py | 28 +++++++++++++++++ config.py | 28 +++++++++++++++-- data/.gitignore | 0 data/data_training.csv | 49 +++++++++++++++++++++++++++++ data/decision_tree.png | Bin 0 -> 124143 bytes data/tree_model.joblib | Bin 0 -> 3883 bytes requirements.txt | 6 +++- 13 files changed, 224 insertions(+), 6 deletions(-) create mode 100644 app/decision_tree.py create mode 100644 app/weather.py create mode 100644 data/.gitignore create mode 100644 data/data_training.csv create mode 100644 data/decision_tree.png create mode 100644 data/tree_model.joblib diff --git a/Readme.md b/Readme.md index 9a9c54f..50caf1c 100644 --- a/Readme.md +++ b/Readme.md @@ -34,7 +34,7 @@ Change sizes map in config.py VERTICAL_NUM_OF_FIELDS = 3 HORIZONTAL_NUM_OF_FIELDS = 3 ``` -\ + #### 4.1 Save generated map: ```bash python main.py --save-map diff --git a/app/__init__.py b/app/__init__.py index 1c25260..f5cfb0c 100644 --- a/app/__init__.py +++ b/app/__init__.py @@ -44,6 +44,7 @@ class App: if keys[pygame.K_w]: self.__tractor.move() + self.__tractor.choose_action() print(self.__tractor) if keys[pygame.K_n]: diff --git a/app/board.py b/app/board.py index ba98858..9c6f993 100644 --- a/app/board.py +++ b/app/board.py @@ -66,6 +66,15 @@ class Board: print(f"{j} - {type(self.__fields[i][j]).__name__}", end=" | ") print() + def convert_fields_to_vectors(self) -> list[list]: + list_of_vectors = [] + for i in range(HORIZONTAL_NUM_OF_FIELDS): + list_of_vectors.append([]) + for j in range(VERTICAL_NUM_OF_FIELDS): + list_of_vectors[i].append(self.__fields[i][j].transform()) + print(list_of_vectors) + return list_of_vectors + def convert_fields_to_list_of_types(self) -> list: data = [] for i in range(HORIZONTAL_NUM_OF_FIELDS): @@ -82,7 +91,7 @@ class Board: def load_map(self, filename: str): try: - with open(os.path.join(MAP_DIR,f"{filename}.{JSON}")) as f: + with open(os.path.join(MAP_DIR, f"{filename}.{JSON}")) as f: data = json.load(f) except IOError: raise IOError(f"Cannot load file: {filename}.{JSON}!") @@ -117,7 +126,7 @@ class Board: fields = self.convert_fields_to_list_of_types() try: - with open(os.path.join(MAP_DIR,f"{MAP_FILE_NAME}-{uuid.uuid4().hex}.{JSON}"), 'w') as f: + with open(os.path.join(MAP_DIR, f"{MAP_FILE_NAME}-{uuid.uuid4().hex}.{JSON}"), 'w') as f: json.dump(fields, f) except IOError: raise IOError(f"Cannot save file:!") diff --git a/app/decision_tree.py b/app/decision_tree.py new file mode 100644 index 0000000..c0dcc13 --- /dev/null +++ b/app/decision_tree.py @@ -0,0 +1,68 @@ +#!/usr/bin/python3 +import os +from typing import Union +import pydotplus +import pandas as pd +from joblib import dump, load +from sklearn.tree import DecisionTreeClassifier +from sklearn.tree import export_graphviz, export_text + +from app.weather import Weather +from config import * + + +class DecisionTree: + WEATHER = {W_SUNNY: 0, W_CLOUDY: 1, W_SNOW: 2, W_RAINY: 3} + SEASON = {S_AUTUMN: 0, S_WINTER: 1, S_SPRING: 2, S_SUMMER: 3} + FEATURES = ['Season', 'Weather', 'Fertilize', 'Hydrate', 'Sow', 'Harvest', 'Action'] + + def __int__(self): + self.tree = None + + def learn_tree(self) -> None: + path = os.path.join(DATA_DIR, MODEL_TREE_FILENAME) + if os.path.exists(path): + self.tree = load(path) + else: + # read data + training_data = pd.read_csv(os.path.join(DATA_DIR, DATA_TRAINING_FOR_DECISION_TREE)) + print(training_data.head()) + + training_data = self.map_data(training_data) + # print(training_data) + + X = training_data[self.FEATURES[:-1]] + Y = training_data[self.FEATURES[-1]] + + self.tree = DecisionTreeClassifier() + self.tree = self.tree.fit(X, Y) + dump(self.tree, path) + + text = export_text(self.tree, feature_names=self.FEATURES[:-1]) + print(text) + + data = export_graphviz(self.tree, out_file=None, feature_names=self.FEATURES[:-1]) + graph = pydotplus.graph_from_dot_data(data) + graph.write_png(os.path.join(DATA_DIR, IMG_DECISION_TREE)) + + def map_data(self, data: Union[pd.Series, pd.DataFrame]) -> Union[pd.Series, pd.DataFrame]: + # print(data) + data['Season'] = data['Season'].map(DecisionTree.SEASON) + data['Weather'] = data['Weather'].map(DecisionTree.WEATHER) + return data + + def predict(self, vector: Union[pd.Series, pd.DataFrame]) -> str: + print(vector) + x = self.map_data(vector) + action = self.tree.predict(x) + return action + + def make_decision(self, weather: Weather, v: list): + s, w = weather.randomize_weather() + tree = DecisionTree() + tree.learn_tree() + final_vector = [s, w] + v + print(final_vector) + df = pd.DataFrame([final_vector]) + df.columns = DecisionTree.FEATURES[:-1] + return tree.predict(df) diff --git a/app/fields.py b/app/fields.py index 1fdaed9..89d42b0 100644 --- a/app/fields.py +++ b/app/fields.py @@ -27,6 +27,9 @@ class Crops(Field): self.weight = 1.0 self._value = VALUE_OF_CROPS + def transform(self) -> list: + return [0, 0, 0, 1] + class Plant(Field): def __init__(self, img_path: str): @@ -34,6 +37,9 @@ class Plant(Field): self.is_hydrated = False self._value = VALUE_OF_PLANT + def transform(self) -> list: + return [0, 1, 0, 0] + class Clay(Soil): def __init__(self): @@ -41,6 +47,9 @@ class Clay(Soil): self.is_fertilized = False self._value = VALUE_OF_CLAY + def transform(self) -> list: + return [1, 0, 0, 0] + class Sand(Soil): def __init__(self): @@ -49,6 +58,12 @@ class Sand(Soil): self.is_hydrated = False self._value = VALUE_OF_SAND + def transform(self) -> list: + if not self.is_hydrated : + return [0, 1, 0, 0] + else: + return [0, 0, 1, 0] + class Grass(Plant): def __init__(self): diff --git a/app/tractor.py b/app/tractor.py index 9e14138..b9616f6 100644 --- a/app/tractor.py +++ b/app/tractor.py @@ -17,6 +17,8 @@ from app.fields import CROPS, PLANTS, Crops, Sand, Clay, Field from config import * from app.fields import Plant, Soil, Crops +from app.decision_tree import DecisionTree +from app.weather import Weather class Tractor(BaseField): @@ -30,6 +32,8 @@ class Tractor(BaseField): self.__harvested_corps = [] self.__fuel = 10 self.__neural_network = None + self.__tree = DecisionTree() + self.__weather = Weather() def draw(self, screen: pygame.Surface) -> None: self.draw_field(screen, self.__pos_x + FIELD_SIZE / 2, self.__pos_y + FIELD_SIZE / 2, @@ -304,3 +308,19 @@ class Tractor(BaseField): time.sleep(1) is_running.clear() + + def choose_action(self) -> None: + vectors = self.__board.convert_fields_to_vectors() + print(vectors) + coords = None + action = None + for i in range(HORIZONTAL_NUM_OF_FIELDS): + for j in range(VERTICAL_NUM_OF_FIELDS): + action = self.__tree.make_decision(self.__weather, vectors[i][j]) + if action != A_DO_NOTHING: + coords = (i, j) + break + print(coords, action) + if coords is not None: + # astar coords + pass diff --git a/app/weather.py b/app/weather.py new file mode 100644 index 0000000..8579012 --- /dev/null +++ b/app/weather.py @@ -0,0 +1,28 @@ +#!/usr/bin/python3 +import random +from config import * + + +class Weather: + def __init__(self): + self.months = (S_WINTER, S_WINTER, S_SPRING, S_SPRING, S_SPRING, S_SUMMER, + S_SUMMER, S_SUMMER, S_AUTUMN, S_AUTUMN, S_AUTUMN, S_WINTER) + self.current_month = 0 + + def randomize_weather(self) -> tuple[str, str]: + season = self.months[self.current_month] + + if season == S_WINTER: + weather = random.choices([W_SNOW, W_CLOUDY]) + elif season == S_SUMMER: + weights = [0.5, 0.3, 0.2] + weather = random.choices([W_SUNNY, W_CLOUDY, W_RAINY], weights) + elif season == S_SPRING: + weights = [0.3, 0.5, 0.2] + weather = random.choices([W_SUNNY, W_CLOUDY, W_RAINY], weights) + else: + weights = [0.2, 0.3, 0.4] + weather = random.choices([W_SUNNY, W_CLOUDY, W_RAINY], weights) + + self.current_month = (self.current_month + 1) % len(self.months) + return season, weather[0] diff --git a/config.py b/config.py index 6b1b548..c248a84 100644 --- a/config.py +++ b/config.py @@ -9,11 +9,14 @@ __all__ = ( 'SAND', 'CLAY', 'GRASS', 'CORN', 'SUNFLOWER', 'FIELD_TYPES', 'TIME_OF_GROWING', 'AMOUNT_OF_CROPS', 'M_GO_FORWARD', 'M_ROTATE_LEFT', 'M_ROTATE_RIGHT', + 'S_AUTUMN', 'S_SPRING', 'S_SUMMER', 'S_WINTER', 'TYPES_OF_SEASON', + 'W_SUNNY', 'W_CLOUDY', 'W_SNOW', 'W_RAINY', 'TYPES_OF_WEATHER', 'A_SOW', 'A_HARVEST', 'A_HYDRATE', 'A_FERTILIZE', 'A_DO_NOTHING', - 'D_NORTH', 'D_EAST', 'D_SOUTH', 'D_WEST', + 'TYPES_OF_ACTION', 'D_NORTH', 'D_EAST', 'D_SOUTH', 'D_WEST', 'VALUE_OF_CROPS', 'VALUE_OF_PLANT', 'VALUE_OF_SAND', 'VALUE_OF_CLAY', 'MAP_FILE_NAME', 'JSON', 'SAVE_MAP', 'LOAD_MAP', - 'TRAINING_SET_DIR', 'TEST_SET_DIR', 'ADAPTED_IMG_DIR', 'MODEL_DIR' + 'TRAINING_SET_DIR', 'TEST_SET_DIR', 'ADAPTED_IMG_DIR', 'MODEL_DIR', + 'DATA_DIR','IMG_DECISION_TREE','MODEL_TREE_FILENAME','DATA_TRAINING_FOR_DECISION_TREE' ) # Board settings: @@ -31,12 +34,17 @@ CAPTION = 'Tractor' BASE_DIR = os.path.dirname(__file__) RESOURCE_DIR = os.path.join(BASE_DIR, 'resources') MAP_DIR = os.path.join(BASE_DIR, 'maps') +DATA_DIR = os.path.join(BASE_DIR, 'data') MAP_FILE_NAME = 'map' TRAINING_SET_DIR = os.path.join(RESOURCE_DIR, 'smaller_train') TEST_SET_DIR = os.path.join(RESOURCE_DIR, 'smaller_test') ADAPTED_IMG_DIR = os.path.join(RESOURCE_DIR, "adapted_images") MODEL_DIR = os.path.join(RESOURCE_DIR, 'saved_model') +MODEL_TREE_FILENAME = 'tree_model.joblib' +IMG_DECISION_TREE = 'decision_tree.png' +DATA_TRAINING_FOR_DECISION_TREE = 'data_training.csv' + # Picture format PNG = "png" @@ -75,6 +83,7 @@ A_HARVEST = "harvest" A_HYDRATE = "hydrate" A_FERTILIZE = "fertilize" A_DO_NOTHING = "do nothing" +TYPES_OF_ACTION = [A_SOW, A_HARVEST, A_HYDRATE, A_FERTILIZE, A_DO_NOTHING] # Costs fields: VALUE_OF_CROPS = 1 @@ -82,6 +91,21 @@ VALUE_OF_PLANT = 4 VALUE_OF_SAND = 7 VALUE_OF_CLAY = 10 +# Weather +W_SUNNY = 'Sunny' +W_CLOUDY = 'Cloudy' +W_SNOW = 'Snow' +W_RAINY = 'Rainy' +TYPES_OF_WEATHER = [W_SUNNY, W_CLOUDY, W_SNOW, W_RAINY] + +# Seasons +S_AUTUMN = 'Autumn' +S_WINTER = 'Winter' +S_SPRING = 'Spring' +S_SUMMER = 'Summer' + +TYPES_OF_SEASON = [S_AUTUMN, S_WINTER, S_SPRING, S_SUMMER] + # Times TIME_OF_GROWING = 2 TIME_OF_MOVING = 2 diff --git a/data/.gitignore b/data/.gitignore new file mode 100644 index 0000000..e69de29 diff --git a/data/data_training.csv b/data/data_training.csv new file mode 100644 index 0000000..468ae31 --- /dev/null +++ b/data/data_training.csv @@ -0,0 +1,49 @@ +Season,Weather,Fertilize,Hydrate,Sow,Harvest,Action +Winter,Snow,0,0,0,1,do nothing +Winter,Snow,0,0,1,0,do nothing +Winter,Snow,0,1,0,0,do nothing +Winter,Snow,1,0,0,0,do nothing +Winter,Cloudy,0,0,0,1,do nothing +Winter,Cloudy,0,0,1,0,do nothing +Winter,Cloudy,0,1,0,0,do nothing +Winter,Cloudy,1,0,0,0,do nothing +Autumn,Cloudy,0,0,0,1,harvest +Autumn,Cloudy,0,0,1,0,do nothing +Autumn,Cloudy,0,1,0,0,do nothing +Autumn,Cloudy,1,0,0,0,fertilize +Autumn,Sunny,0,0,0,1,harvest +Autumn,Sunny,0,0,1,0,Plant +Autumn,Sunny,0,1,0,0,hydrate +Autumn,Sunny,1,0,0,0,fertilize +Autumn,Rainy,0,0,0,1,harvest +Autumn,Rainy,0,0,1,0,do nothing +Autumn,Rainy,0,1,0,0,do nothing +Autumn,Rainy,1,0,0,0,do nothing +Spring,Sunny,0,0,0,1,harvest +Spring,Sunny,0,0,1,0,do nothing +Spring,Sunny,0,1,0,0,hydrate +Spring,Sunny,1,0,0,0,do nothing +Spring,Cloudy,0,0,0,1,harvest +Spring,Cloudy,0,0,1,0,do nothing +Spring,Cloudy,0,1,0,0,hydrate +Spring,Cloudy,1,0,0,0,do nothing +Spring,Rainy,0,0,0,1,harvest +Spring,Rainy,0,0,1,0,do nothing +Spring,Rainy,0,1,0,0,do nothing +Spring,Rainy,1,0,0,0,do nothing +Spring,Rainy,0,0,0,1,harvest +Spring,Rainy,0,0,1,0,do nothing +Spring,Rainy,0,1,0,0,do nothing +Spring,Rainy,1,0,0,0,do nothing +Summer,Rainy,0,0,0,1,harvest +Summer,Rainy,0,0,1,0,do nothing +Summer,Rainy,0,1,0,0,do nothing 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