smart logs

.gitignore

@@ -150,4 +150,3 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 .idea/
-/algorithms/neural_network/data/

algorithms/a_star.py

@@ -1,189 +0,0 @@
-from __future__ import annotations
-
-import heapq
-from dataclasses import dataclass, field
-from typing import Tuple, Optional, List
-
-from algorithms.genetic.const import MAP_ALIASES
-from common.constants import ROWS, COLUMNS, LEFT, RIGHT, UP, DOWN
-from common.helpers import directions
-
-EMPTY_FIELDS = [MAP_ALIASES.get("SAND"), MAP_ALIASES.get("GRASS"), ' ']
-
-TURN_LEFT = 'TURN_LEFT'
-TURN_RIGHT = 'TURN_RIGHT'
-FORWARD = 'FORWARD'
-
-
-@dataclass
-class State:
-    position: Tuple[int, int]
-    direction: str
-
-    def __eq__(self, other: State) -> bool:
-        return other.position == self.position and self.direction == other.direction
-
-    def __lt__(self, state):
-        return self.position < state.position
-
-    def __hash__(self) -> int:
-        return hash(self.position)
-
-
-@dataclass
-class Node:
-    state: State
-    parent: Optional[Node]
-    action: Optional[str]
-    grid: List[List[str]]
-    cost: int = field(init=False)
-    depth: int = field(init=False)
-
-    def __lt__(self, node) -> None:
-        return self.state < node.state
-
-    def __post_init__(self) -> None:
-        if self.grid[self.state.position[0]][self.state.position[1]] == 'g':
-            self.cost = 1 if not self.parent else self.parent.cost + 1
-        else:
-            self.cost = 2 if not self.parent else self.parent.cost + 2
-        self.depth = 0 if not self.parent else self.parent.depth + 1
-
-    def __hash__(self) -> int:
-        return hash(self.state)
-
-
-def expand(node: Node, grid: List[List[str]]) -> List[Node]:
-    return [child_node(node=node, action=action, grid=grid) for action in actions(node.state, grid)]
-
-
-def child_node(node: Node, action: str, grid: List[List[str]]) -> Node:
-    next_state = result(state=node.state, action=action)
-    return Node(state=next_state, parent=node, action=action, grid=grid)
-
-
-def next_position(current_position: Tuple[int, int], direction: str) -> Tuple[int, int]:
-    next_row, next_col = directions[direction]
-    row, col = current_position
-    return next_row + row, next_col + col
-
-
-def valid_move(position: Tuple[int, int], grid: List[List[str]]) -> bool:
-    row, col = position
-    return grid[row][col] in EMPTY_FIELDS
-
-
-def actions(state: State, grid: List[List[str]]) -> List[str]:
-    possible_actions = [FORWARD, TURN_LEFT, TURN_RIGHT]
-    row, col = state.position
-    direction = state.direction
-
-    if direction == UP and row == 0:
-        remove_forward(possible_actions)
-    if direction == DOWN and row == ROWS - 1:
-        remove_forward(possible_actions)
-    if direction == LEFT and col == 0:
-        remove_forward(possible_actions)
-    if direction == RIGHT and col == COLUMNS - 1:
-        remove_forward(possible_actions)
-
-    if FORWARD in possible_actions and not valid_move(next_position(state.position, direction), grid):
-        remove_forward(possible_actions)
-
-    return possible_actions
-
-
-def remove_forward(possible_actions: List[str]) -> None:
-    if FORWARD in possible_actions:
-        possible_actions.remove(FORWARD)
-
-
-def result(state: State, action: str) -> State:
-    next_state = State(state.position, state.direction)
-
-    if state.direction == UP:
-        if action == TURN_LEFT:
-            next_state.direction = LEFT
-        elif action == TURN_RIGHT:
-            next_state.direction = RIGHT
-        elif action == FORWARD:
-            next_state.position = next_position(state.position, UP)
-
-    elif state.direction == DOWN:
-        if action == TURN_LEFT:
-            next_state.direction = RIGHT
-        elif action == TURN_RIGHT:
-            next_state.direction = LEFT
-        elif action == FORWARD:
-            next_state.position = next_position(state.position, DOWN)
-
-    elif state.direction == LEFT:
-        if action == TURN_LEFT:
-            next_state.direction = DOWN
-        elif action == TURN_RIGHT:
-            next_state.direction = UP
-        elif action == FORWARD:
-            next_state.position = next_position(state.position, LEFT)
-
-    elif state.direction == RIGHT:
-        if action == TURN_LEFT:
-            next_state.direction = UP
-        elif action == TURN_RIGHT:
-            next_state.direction = DOWN
-        elif action == FORWARD:
-            next_state.position = next_position(state.position, RIGHT)
-
-    return next_state
-
-
-def goal_test(state: State, goal_list: List[Tuple[int, int]]) -> bool:
-    return state.position in goal_list
-
-
-def h(state: State, goal: Tuple[int, int]) -> int:
-    """heuristics that calculates Manhattan distance between current position and goal"""
-    x1, y1 = state.position
-    x2, y2 = goal
-    return abs(x1 - x2) + abs(y1 - y2)
-
-
-def f(current_node: Node, goal: Tuple[int, int]) -> int:
-    """f(n) = g(n) + h(n), g stands for current cost, h for heuristics"""
-    return current_node.cost + h(state=current_node.state, goal=goal)
-
-
-def get_path_from_start(node: Node) -> List[str]:
-    path = [node.action]
-
-    while node.parent is not None:
-        node = node.parent
-        if node.action:
-            path.append(node.action)
-
-    path.reverse()
-    return path
-
-
-def a_star(state: State, grid: List[List[str]], goals: List[Tuple[int, int]]) -> List[str]:
-    node = Node(state=state, parent=None, action=None, grid=grid)
-
-    frontier = list()
-    heapq.heappush(frontier, (f(node, goals[0]), node))
-    explored = set()
-
-    while frontier:
-        r, node = heapq.heappop(frontier)
-
-        if goal_test(node.state, goals):
-            return get_path_from_start(node)
-
-        explored.add(node.state)
-
-        for child in expand(node, grid):
-            p = f(child, goals[0])
-            if child.state not in explored and (p, child) not in frontier:
-                heapq.heappush(frontier, (p, child))
-            elif (r, child) in frontier and r > p:
-                heapq.heappush(frontier, (p, child))
-
-    return []

algorithms/bfs.py

@@ -1,120 +0,0 @@
-from __future__ import annotations
-from typing import List
-
-from common.constants import ACTION, Direction, ROWS, COLUMNS
-
-
-class State:
-    def __init__(self, row, column, direction):
-        self.row = row
-        self.column = column
-        self.direction = direction
-
-
-class Node:
-    def __init__(self, state, parent=None, action=None):
-        self.state = state
-        self.parent = parent
-        self.action = action
-
-
-def goal_test(goal_list, state: State):
-    if (state.row, state.column) in goal_list:
-        return True
-    return False
-
-
-def get_successors(state: State, map):
-    successors = list()
-
-    state_left = State(state.row, state.column, state.direction.left())
-    successors.append((ACTION.get("rotate_left"), state_left))
-
-    state_right = State(state.row, state.column, state.direction.right())
-    successors.append((ACTION.get("rotate_right"), state_right))
-
-    target = go(state.row, state.column, state.direction)
-
-    if is_valid_move(map, target[0], target[1]):
-        state_go = State(target[0], target[1], state.direction)
-        successors.append((ACTION.get("go"), state_go))
-
-    return successors
-
-
-def graphsearch(initial_state: State, map, goal_list, fringe: List[Node] = None, explored: List[Node] = None):
-    # fringe and explored initialization
-    if fringe is None:
-        fringe = list()
-    if explored is None:
-        explored = list()
-    explored_states = set()
-    fringe_states = set()
-
-    # train Node
-    fringe.append(Node(initial_state))
-    fringe_states.add((initial_state.row, initial_state.column, initial_state.direction))
-
-    while True:
-        # fringe empty -> solution not found
-        if not any(fringe):
-            print("Brak rozwiazania")
-            return []
-
-        # get first element from fringe
-        element = fringe.pop(0)
-        fringe_states.remove((element.state.row, element.state.column, element.state.direction))
-
-        # if solution was found, prepare and return actions sequence
-        if goal_test(goal_list, element.state):
-            actions_sequence = [element.action]
-            parent = element.parent
-
-            while parent is not None:
-                # train's action will be None, don't add it
-                if parent.action is not None:
-                    actions_sequence.append(parent.action)
-                parent = parent.parent
-
-            actions_sequence.reverse()
-            return actions_sequence
-
-        # add current node to explored (prevents infinite cycles)
-        explored.append(element)
-        explored_states.add((element.state.row, element.state.column, element.state.direction))
-
-        # loop through every possible next action
-        for successor in get_successors(element.state, map):
-
-            # make sure not to fall into a cycle
-            successor_state = (successor[1].row, successor[1].column, successor[1].direction)
-            if successor_state not in fringe_states and successor_state not in explored_states:
-                # create new Node and add it at the end of fringe
-                new_node = Node(state=successor[1],
-                                parent=element,
-                                action=successor[0])
-                fringe.append(new_node)
-                fringe_states.add((new_node.state.row, new_node.state.column, new_node.state.direction))
-
-
-# TEMPORARY METHOD
-def go(row, column, direction):
-    target = tuple()
-
-    if direction == Direction.RIGHT:
-        target = row, column + 1
-    elif direction == Direction.LEFT:
-        target = row, column - 1
-    elif direction == Direction.UP:
-        target = row - 1, column
-    elif direction == Direction.DOWN:
-        target = row + 1, column
-
-    return target
-
-
-def is_valid_move(map, target_row, target_column):
-    if 0 <= target_row < ROWS and 0 <= target_column < COLUMNS and map[target_row][target_column] in ['g', 's', ' ']:
-        return True
-
-    return False

algorithms/genetic/common.py

@@ -1,142 +0,0 @@
-from dataclasses import dataclass
-
-import numpy as np
-
-from const import *
-from typing import List, Dict, Tuple
-
-import numpy.typing as npt
-
-
-@dataclass
-class Position:
-    row: int
-    col: int
-
-
-@dataclass
-class Area:
-    position: Position
-    width: int
-    height: int
-
-
-AREAS_TO_CROSS = [
-    # up above left knights spawn
-    Area(position=Position(row=0, col=0),
-         width=KNIGHTS_SPAWN_WIDTH,
-         height=LEFT_KNIGHTS_SPAWN_FIRST_ROW),
-
-    # down below left knights spawn
-    Area(position=Position(row=LEFT_KNIGHTS_SPAWN_FIRST_ROW + KNIGHTS_SPAWN_HEIGHT, col=0),
-         width=KNIGHTS_SPAWN_WIDTH,
-         height=ROWS - LEFT_KNIGHTS_SPAWN_FIRST_ROW - KNIGHTS_SPAWN_HEIGHT),
-
-    # between left knights spawn and castle
-    Area(position=Position(row=0, col=KNIGHTS_SPAWN_WIDTH),
-         width=CASTLE_SPAWN_FIRST_COL - KNIGHTS_SPAWN_WIDTH,
-         height=ROWS),
-
-    # up above castle
-    Area(position=Position(row=0, col=CASTLE_SPAWN_FIRST_COL),
-         width=2,
-         height=CASTLE_SPAWN_FIRST_ROW),
-
-    # down below castle
-    Area(position=Position(row=CASTLE_SPAWN_FIRST_ROW + 2, col=CASTLE_SPAWN_FIRST_COL),
-         width=2,
-         height=ROWS - CASTLE_SPAWN_FIRST_ROW - 2),
-
-    # between castle and right knights spawn
-    Area(position=Position(row=0, col=CASTLE_SPAWN_FIRST_COL + 2),
-         width=RIGHT_KNIGHTS_SPAWN_FIRST_COL - CASTLE_SPAWN_FIRST_COL - 2,
-         height=ROWS),
-
-    # up above right knights spawn
-    Area(position=Position(row=0, col=RIGHT_KNIGHTS_SPAWN_FIRST_COL),
-         width=KNIGHTS_SPAWN_WIDTH,
-         height=RIGHT_KNIGHTS_SPAWN_FIRST_ROW),
-
-    # down below right knights spawn
-    Area(position=Position(row=RIGHT_KNIGHTS_SPAWN_FIRST_ROW + KNIGHTS_SPAWN_HEIGHT, col=RIGHT_KNIGHTS_SPAWN_FIRST_COL),
-         width=KNIGHTS_SPAWN_WIDTH,
-         height=ROWS - RIGHT_KNIGHTS_SPAWN_FIRST_ROW - KNIGHTS_SPAWN_HEIGHT),
-]
-
-
-def dfs(grid: npt.NDArray, visited: Dict[Tuple[int, int], bool], position: Position, rows: int, cols: int) -> None:
-    visited[(position.row, position.col)] = True
-
-    row_vector = [0, 0, 1, -1]
-    col_vector = [-1, 1, 0, 0]
-
-    neighbours = []
-    for i in range(4):
-        rr = position.row + row_vector[i]
-        cc = position.col + col_vector[i]
-        if rr < 0 or rr >= ROWS:
-            continue
-        elif cc < 0 or cc >= COLUMNS:
-            continue
-        else:
-            p = Position(rr, cc)
-            if (p.row, p.col) in visited:
-                neighbours.append(p)
-
-    for neighbour in neighbours:
-        if not visited[(neighbour.row, neighbour.col)]:
-            dfs(grid, visited, neighbour, rows, cols)
-
-
-def get_islands(grid: npt.NDArray, positions: List[Position], rows: int = ROWS, cols: int = COLUMNS) -> List[Position]:
-    """it returns list of all islands roots"""
-    visited = {}
-
-    for position in positions:
-        visited[(position.row, position.col)] = False
-
-    islands = 0
-    roots = []
-    for position in positions:
-        if not visited[(position.row, position.col)]:
-            dfs(grid, visited, position, rows, cols)
-            roots.append(position)
-            islands += 1
-
-    return roots
-
-
-def find_neighbours(grid: npt.NDArray, col: int, row: int) -> List[Position]:
-    dr = [-1, 1, 0, 0]
-    dc = [0, 0, -1, 1]
-
-    neighbours = []
-
-    for i in range(4):
-        rr = row + dr[i]
-        cc = col + dc[i]
-
-        if 0 <= rr < ROWS and 0 <= cc < COLUMNS and grid[rr][cc] == MAP_ALIASES.get('GRASS'):
-            neighbours.append(Position(row=rr, col=cc))
-
-    return neighbours
-
-
-def get_tiles_positions(grid: npt.NDArray):
-    sands = []
-    trees = []
-    waters = []
-    monsters = []
-
-    for row_num in range(len(grid)):
-        for col_num in range(len(grid[row_num])):
-            if grid[row_num][col_num] == MAP_ALIASES.get('WATER'):
-                waters.append(Position(row=row_num, col=col_num))
-            elif grid[row_num][col_num] == MAP_ALIASES.get('TREE'):
-                trees.append(Position(row=row_num, col=col_num))
-            elif grid[row_num][col_num] == MAP_ALIASES.get('SAND'):
-                sands.append(Position(row=row_num, col=col_num))
-            elif grid[row_num][col_num] == MAP_ALIASES.get('MONSTER'):
-                monsters.append(Position(row=row_num, col=col_num))
-
-    return sands, trees, waters, monsters

algorithms/genetic/const.py

@@ -1,29 +0,0 @@
-# map config
-KNIGHTS_PER_TEAM_COUNT = 4
-SAND_COUNT = 21
-WATER_COUNT = 21
-TREE_COUNT = 37
-MONSTERS_COUNT = 2
-CASTLES_COUNT = 1
-ROWS = 19
-COLUMNS = 24
-KNIGHTS_SPAWN_WIDTH = 4
-KNIGHTS_SPAWN_HEIGHT = 7
-LEFT_KNIGHTS_SPAWN_FIRST_ROW = 6
-LEFT_KNIGHTS_SPAWN_FIRST_COL = 0
-RIGHT_KNIGHTS_SPAWN_FIRST_ROW = 6
-RIGHT_KNIGHTS_SPAWN_FIRST_COL = 20
-CASTLE_SPAWN_FIRST_ROW = 7
-CASTLE_SPAWN_FIRST_COL = 11
-
-# map aliases
-MAP_ALIASES = {
-    "GRASS": 0,
-    "SAND": 1,
-    "WATER": 2,
-    "TREE": 3,
-    "MONSTER": 4,
-    "CASTLE": 5,
-    "KNIGHT_RED": 6,
-    "KNIGHT_BLUE": 7,
-}

algorithms/genetic/genome.py

@@ -1,166 +0,0 @@
-import math
-import random
-from copy import deepcopy
-from random import randrange
-from typing import List
-
-import numpy as np
-import numpy.typing as npt
-
-from common import Position, get_islands, AREAS_TO_CROSS, find_neighbours, get_tiles_positions
-from const import *
-
-
-class Genome:
-    grid: npt.NDArray
-    knights_red: List[Position]
-    knights_blue: List[Position]
-    waters: List[Position]
-    trees: List[Position]
-    sands: List[Position]
-    monsters: List[Position]
-    fitness: int
-    sand_islands: List[Position]
-    tree_islands: List[Position]
-    water_islands: List[Position]
-
-    def __init__(self):
-        self.grid = np.zeros((ROWS, COLUMNS), dtype=int)
-        self.fitness = 0
-
-        self.knights_red = spawn_objects_in_given_area(
-            grid=self.grid,
-            object_alias=MAP_ALIASES.get("KNIGHT_RED"),
-            objects_count=KNIGHTS_PER_TEAM_COUNT,
-            spawn_position_start=Position(row=LEFT_KNIGHTS_SPAWN_FIRST_ROW, col=LEFT_KNIGHTS_SPAWN_FIRST_COL),
-            width=KNIGHTS_SPAWN_WIDTH,
-            height=KNIGHTS_SPAWN_HEIGHT
-        )
-
-        self.knights_blue = spawn_objects_in_given_area(
-            grid=self.grid,
-            object_alias=MAP_ALIASES.get("KNIGHT_BLUE"),
-            objects_count=KNIGHTS_PER_TEAM_COUNT,
-            spawn_position_start=Position(row=RIGHT_KNIGHTS_SPAWN_FIRST_ROW, col=RIGHT_KNIGHTS_SPAWN_FIRST_COL),
-            width=KNIGHTS_SPAWN_WIDTH,
-            height=KNIGHTS_SPAWN_HEIGHT
-        )
-
-        spawn_objects_in_given_area(
-            grid=self.grid,
-            object_alias=MAP_ALIASES.get("CASTLE"),
-            objects_count=4,
-            spawn_position_start=Position(row=CASTLE_SPAWN_FIRST_ROW, col=CASTLE_SPAWN_FIRST_COL),
-            width=2,
-            height=2
-        )
-
-        self.waters = spawn_objects_in_given_area(grid=self.grid, object_alias=MAP_ALIASES.get("WATER"),
-                                                  objects_count=WATER_COUNT)
-        self.trees = spawn_objects_in_given_area(grid=self.grid, object_alias=MAP_ALIASES.get("TREE"),
-                                                 objects_count=TREE_COUNT)
-        self.sands = spawn_objects_in_given_area(grid=self.grid, object_alias=MAP_ALIASES.get("SAND"),
-                                                 objects_count=SAND_COUNT)
-        self.monsters = spawn_objects_in_given_area(grid=self.grid, object_alias=MAP_ALIASES.get("MONSTER"),
-                                                    objects_count=MONSTERS_COUNT)
-
-        self.sand_islands = get_islands(self.grid, self.sands)
-        self.tree_islands = get_islands(self.grid, self.trees)
-        self.water_islands = get_islands(self.grid, self.waters)
-
-    def update_map(self):
-        self.sands, self.trees, self.waters, self.monsters = get_tiles_positions(self.grid)
-
-        self.sand_islands = get_islands(self.grid, self.sands)
-        self.tree_islands = get_islands(self.grid, self.trees)
-        self.water_islands = get_islands(self.grid, self.waters)
-
-    def calc_fitness(self):
-        score = SAND_COUNT + TREE_COUNT + WATER_COUNT
-        score = score - len(self.sand_islands) - len(self.tree_islands) - len(self.water_islands)
-
-        sands, trees, waters, monsters = get_tiles_positions(self.grid)
-
-        if len(monsters) != MONSTERS_COUNT:
-            self.fitness = 0
-            return
-
-        if len(sands) < SAND_COUNT or len(trees) < TREE_COUNT or len(waters) < WATER_COUNT:
-            self.fitness = 5
-            return
-
-        self.fitness = score
-
-    def crossover(self, partner):
-        # replace a randomly selected part of the grid with partner's part
-        child = Genome()
-        child.grid = deepcopy(self.grid)
-        area_to_cross = random.choice(AREAS_TO_CROSS)
-
-        for row in range(area_to_cross.position.row, area_to_cross.position.row + area_to_cross.height):
-            for col in range(area_to_cross.position.col, area_to_cross.position.col + area_to_cross.width):
-                child.grid[row][col] = partner.grid[row][col]
-
-        child.update_map()
-
-        return child
-
-    def mutate(self, mutation_rate: float):
-        # remove 1 item from a random island and add a neighbor to another island
-        if random.random() < mutation_rate:
-
-            # select islands of the same, random type
-            islands_of_same_type = random.choice([self.sand_islands, self.tree_islands, self.water_islands])
-            random_index = random.randint(0, len(islands_of_same_type) - 1)
-            island = islands_of_same_type[random_index]
-            next_island = islands_of_same_type[(random_index + 1) % len(islands_of_same_type)]
-
-            free_tiles_nearby = find_neighbours(self.grid, next_island.col, next_island.row)
-
-            tile_type = self.grid[island.row][island.col]
-            self.grid[island.row][island.col] = MAP_ALIASES.get('GRASS')
-
-            # todo: if there are no free tiles around then randomize another next_island
-            if len(free_tiles_nearby) > 0:
-                random_free_tile = random.choice(free_tiles_nearby)
-                island.row = random_free_tile.row
-                island.col = random_free_tile.col
-                self.grid[island.row][island.col] = tile_type
-
-                self.update_map()
-
-
-def is_empty(grid: npt.NDArray, position: Position) -> bool:
-    return grid[position.row, position.col] in [MAP_ALIASES.get("GRASS"), MAP_ALIASES.get("SAND")]
-
-
-def is_invalid_area(spawn_position_start, height, width) -> bool:
-    return spawn_position_start.row + height - 1 < 0 or \
-           spawn_position_start.row + height - 1 >= ROWS or \
-           spawn_position_start.col + width - 1 < 0 or \
-           spawn_position_start.col + width - 1 >= COLUMNS
-
-
-def spawn_objects_in_given_area(grid: npt.NDArray,
-                                object_alias: str,
-                                objects_count: int = 1,
-                                spawn_position_start: Position = Position(row=0, col=0),
-                                width: int = COLUMNS,
-                                height: int = ROWS) -> List[Position]:
-    if is_invalid_area(spawn_position_start, height, width):
-        raise ValueError("Invalid spawn area")
-
-    objects_remaining = int(objects_count)
-    positions = []
-
-    while objects_remaining > 0:
-        row = randrange(spawn_position_start.row, spawn_position_start.row + height)
-        col = randrange(spawn_position_start.col, spawn_position_start.col + width)
-        position = Position(row=row, col=col)
-
-        if is_empty(grid=grid, position=position):
-            grid[position.row, position.col] = object_alias
-            positions.append(position)
-            objects_remaining -= 1
-
-    return positions

algorithms/genetic/map_generator.py

@@ -1,26 +0,0 @@
-from algorithms.genetic.genome import Genome
-from algorithms.genetic.map_importer_exporter import export_map
-from population import Population
-
-
-def main() -> None:
-    population_size = 500
-    mutation_rate = 0.3
-
-    population = Population(mutation_rate, population_size, 55)
-
-    while not population.evaluate():
-        # create next generation
-        population.generate()
-
-        # calc fitness
-        population.calc_fitness()
-
-    print(population.best_genome.grid)
-    print("Fitness of the best: ", population.best_genome.fitness)
-
-    export_map(population.best_genome.grid)
-
-
-if __name__ == '__main__':
-    main()

algorithms/genetic/map_importer_exporter.py

@@ -1,42 +0,0 @@
-import json
-import random
-import string
-from datetime import datetime
-from pathlib import Path
-import numpy
-import numpy.typing as npt
-from os import listdir
-from os.path import isfile, join
-
-
-# Save map to file
-def export_map(grid: npt.NDArray):
-    json_data = {"map": grid.tolist()}
-
-    now = datetime.now()
-    file_name = "map_" + now.strftime("%Y_%m_%d_%H_%M_%S") + ".json"
-    path = Path("../../resources/maps/")
-    file_to_open = path / file_name
-
-    with open(file_to_open, "w+") as write_file:
-        json.dump(json_data, write_file)
-    print("Saved map to file " + file_name)
-
-
-def import_random_map() -> object:
-    path = "resources/maps"
-    files = [f for f in listdir(path) if isfile(join(path, f))]
-    random_map_name = random.choice(files)
-    return import_map(random_map_name)
-
-
-# Read map from file
-def import_map(file_name: string) -> object:
-    file_to_open = "resources/maps/" + file_name
-    with open(file_to_open, "r") as read_file:
-        print("Reading map from file " + file_name)
-        decoded_json = json.load(read_file)
-
-        decoded_grid = numpy.asarray(decoded_json["map"])
-        print(decoded_grid)
-    return decoded_grid.tolist()

algorithms/genetic/population.py

@@ -1,81 +0,0 @@
-import random
-from typing import List
-
-import numpy as np
-import numpy.typing as npt
-
-from genome import Genome
-
-
-class Population:
-    population: List[Genome] = []  # array to hold the current population
-    mating_pool: List[Genome] = []  # array which we will use for our "mating pool"
-    generations: int = 0  # number of generations
-    finished: bool = False  # are we finished evolving?
-    mutation_rate: float
-    perfect_score: int
-    best_genome: Genome
-
-    def __init__(self, mutation_rate, population_size, perfect_score=20):
-        self.mutation_rate = mutation_rate
-        self.perfect_score = perfect_score
-
-        for i in range(0, population_size):
-            new_genome = Genome()
-            new_genome.calc_fitness()
-            self.population.append(new_genome)
-
-    # create a new generation
-    def generate(self):
-        max_fitness = 0
-        for genome in self.population:
-            if genome.fitness > max_fitness:
-                max_fitness = genome.fitness
-
-        print("Max fitness of generation " + str(self.generations) + " = " + str(max_fitness))
-
-        # refill the population with children from the mating pool
-        new_population = []
-        for genome in self.population:
-            partner_a = self.accept_reject(max_fitness)
-            partner_b = self.accept_reject(max_fitness)
-            child = partner_a.crossover(partner_b)
-            child.mutate(self.mutation_rate)
-            new_population.append(child)
-
-        self.population = new_population
-        self.generations += 1
-
-    # select random with correct probability from population
-    def accept_reject(self, max_fitness: int):
-        safe_flag = 0
-
-        while safe_flag < 10000:
-            partner = random.choice(self.population)
-            r = random.randint(0, max_fitness)
-
-            if r < partner.fitness:
-                return partner
-
-            safe_flag += 1
-
-    # compute the current "most fit" member of the population
-    def evaluate(self):
-        record = 0
-        best_index = 0
-
-        for index in range(len(self.population)):
-            genome = self.population[index]
-            if genome.fitness > record:
-                record = genome.fitness
-                best_index = index
-
-        self.best_genome = self.population[best_index]
-        if record >= self.perfect_score:
-            self.finished = True
-
-        return self.finished
-
-    def calc_fitness(self):
-        for genome in self.population:
-            genome.calc_fitness()

algorithms/neural_network/lightning_logs/version_23/hparams.yaml

@@ -1 +0,0 @@
-{}

algorithms/neural_network/neural_network.py

@@ -1,64 +0,0 @@
-import torch
-import pytorch_lightning as pl
-import torch.nn as nn
-from torch.optim import SGD, Adam, lr_scheduler
-import torch.nn.functional as F
-from torch.utils.data import DataLoader
-from watersandtreegrass import WaterSandTreeGrass
-from common.constants import DEVICE, BATCH_SIZE, NUM_EPOCHS, LEARNING_RATE, SETUP_PHOTOS, ID_TO_CLASS
-
-
-class NeuralNetwork(pl.LightningModule):
-    def __init__(self, numChannels=3, batch_size=BATCH_SIZE, learning_rate=LEARNING_RATE, num_classes=4):
-        super(NeuralNetwork, self).__init__()
-        self.conv1 = nn.Conv2d(numChannels, 24, (3, 3), padding=1)
-        self.relu1 = nn.ReLU()
-        self.maxpool1 = nn.MaxPool2d((2, 2), stride=2)
-        self.conv2 = nn.Conv2d(24, 48, (3, 3), padding=1)
-        self.relu2 = nn.ReLU()
-        self.fc1 = nn.Linear(48*18*18, 800)
-        self.relu3 = nn.ReLU()
-        self.fc2 = nn.Linear(800, 400)
-        self.relu4 = nn.ReLU()
-        self.fc3 = nn.Linear(400, 4)
-        self.logSoftmax = nn.LogSoftmax(dim=1)
-
-        self.batch_size = batch_size
-        self.learning_rate = learning_rate
-
-    def forward(self, x):
-        x = self.conv1(x)
-        x = self.relu1(x)
-        x = self.maxpool1(x)
-        x = self.conv2(x)
-        x = self.relu2(x)
-        x = x.reshape(x.shape[0], -1)
-        x = self.fc1(x)
-        x = self.relu3(x)
-        x = self.fc2(x)
-        x = self.relu4(x)
-        x = self.fc3(x)
-        x = self.logSoftmax(x)
-        return x
-
-    def configure_optimizers(self):
-        optimizer = Adam(self.parameters(), lr=self.learning_rate)
-        return optimizer
-
-    def training_step(self, batch, batch_idx):
-        x, y = batch
-        scores = self(x)
-        loss = F.nll_loss(scores, y)
-        return loss
-
-    def validation_step(self, batch, batch_idx):
-        x, y = batch
-        scores = self(x)
-        val_loss = F.nll_loss(scores, y)
-        self.log("val_loss", val_loss, on_step=True, on_epoch=True, sync_dist=True)
-
-    def test_step(self, batch, batch_idx):
-        x, y = batch
-        scores = self(x)
-        test_loss = F.nll_loss(scores, y)
-        self.log("test_loss", test_loss, on_step=True, on_epoch=True, sync_dist=True)

algorithms/neural_network/neural_network_interface.py

@@ -1,125 +0,0 @@
-import torch
-import common.helpers
-from common.constants import DEVICE, BATCH_SIZE, NUM_EPOCHS, LEARNING_RATE, SETUP_PHOTOS, ID_TO_CLASS
-from watersandtreegrass import WaterSandTreeGrass
-from torch.utils.data import DataLoader
-from neural_network import NeuralNetwork
-from torchvision.io import read_image, ImageReadMode
-import torch.nn as nn
-from torch.optim import Adam
-import matplotlib.pyplot as plt
-import pytorch_lightning as pl
-from pytorch_lightning.callbacks import EarlyStopping
-import torchvision.transforms.functional as F
-from PIL import Image
-
-
-def check_accuracy_tiles():
-    answer = 0
-    for i in range(100):
-        if what_is_it('../../resources/textures/grass_with_tree.jpg') == 'tree':
-            answer = answer + 1
-    print("Accuracy(%) grass_with_tree.jpg",  answer)
-
-    answer = 0
-    for i in range(100):
-        if what_is_it('../../resources/textures/grass2.png') == 'grass':
-            answer = answer + 1
-    print("Accuracy(%) grass2.png",  answer)
-
-    answer = 0
-    for i in range(100):
-        if what_is_it('../../resources/textures/grass3.png') == 'grass':
-            answer = answer + 1
-    print("Accuracy(%) grass3.png",  answer)
-
-    answer = 0
-    for i in range(100):
-        if what_is_it('../../resources/textures/grass4.png') == 'grass':
-            answer = answer + 1
-    print("Accuracy(%) grass4.png", answer)
-
-    answer = 0
-    for i in range(100):
-        if what_is_it('../../resources/textures/grass1.png') == 'grass':
-            answer = answer + 1
-    print("Accuracy(%) grass1.png", answer)
-
-    answer = 0
-    for i in range(100):
-        if what_is_it('../../resources/textures/water.png') == 'water':
-            answer = answer + 1
-    print("Accuracy(%) water.png", answer)
-
-    answer = 0
-    for i in range(100):
-        if what_is_it('../../resources/textures/sand.png') == 'sand':
-            answer = answer + 1
-    print("Accuracy(%) sand.png", answer)
-
-
-def what_is_it(img_path, show_img=False):
-    image = Image.open(img_path).convert('RGB')
-    if show_img:
-        plt.imshow(image)
-        plt.show()
-
-    image = SETUP_PHOTOS(image).unsqueeze(0)
-    model = NeuralNetwork.load_from_checkpoint('./lightning_logs/version_20/checkpoints/epoch=3-step=324.ckpt')
-
-    with torch.no_grad():
-        model.eval()
-        idx = int(model(image).argmax(dim=1))
-        return ID_TO_CLASS[idx]
-
-
-def check_accuracy(tset):
-    model = NeuralNetwork.load_from_checkpoint('./lightning_logs/version_23/checkpoints/epoch=3-step=324.ckpt')
-    num_correct = 0
-    num_samples = 0
-    model = model.to(DEVICE)
-    model.eval()
-
-    with torch.no_grad():
-        for photo, label in tset:
-            photo = photo.to(DEVICE)
-            label = label.to(DEVICE)
-
-            scores = model(photo)
-            predictions = scores.argmax(dim=1)
-            num_correct += (predictions == label).sum()
-            num_samples += predictions.size(0)
-
-        print(f'Got {num_correct} / {num_samples} with accuracy {float(num_correct)/float(num_samples)*100:.2f}%')
-
-
-def check_accuracy_data():
-    trainset = WaterSandTreeGrass('./data/train_csv_file.csv', transform=SETUP_PHOTOS)
-    testset = WaterSandTreeGrass('./data/test_csv_file.csv', transform=SETUP_PHOTOS)
-    train_loader = DataLoader(trainset, batch_size=BATCH_SIZE, shuffle=True)
-    test_loader = DataLoader(testset, batch_size=BATCH_SIZE)
-
-    print("Accuracy of train_set:")
-    check_accuracy(train_loader)
-    print("Accuracy of test_set:")
-    check_accuracy(test_loader)
-
-#CNN = NeuralNetwork()
-#common.helpers.createCSV()
-
-#trainer = pl.Trainer(accelerator='gpu', callbacks=EarlyStopping('val_loss'), devices=1, max_epochs=NUM_EPOCHS)
-#trainer = pl.Trainer(accelerator='gpu', devices=1, auto_lr_find=True, max_epochs=NUM_EPOCHS)
-
-#trainset = WaterSandTreeGrass('./data/train_csv_file.csv', transform=SETUP_PHOTOS)
-#testset = WaterSandTreeGrass('./data/test_csv_file.csv', transform=SETUP_PHOTOS)
-#train_loader = DataLoader(trainset, batch_size=BATCH_SIZE, shuffle=True)
-#test_loader = DataLoader(testset, batch_size=BATCH_SIZE)
-#trainer.fit(CNN, train_loader, test_loader)
-#trainer.tune(CNN, train_loader, test_loader)
-
-
-#print(what_is_it('../../resources/textures/grass2.png', True))
-
-#check_accuracy_data()
-
-#check_accuracy_tiles()

algorithms/neural_network/watersandtreegrass.py

@@ -1,27 +0,0 @@
-import torch
-from torch.utils.data import Dataset
-import pandas as pd
-from torchvision.io import read_image, ImageReadMode
-from common.helpers import createCSV
-from PIL import Image
-
-
-class WaterSandTreeGrass(Dataset):
-    def __init__(self, annotations_file, transform=None):
-        createCSV()
-        self.img_labels = pd.read_csv(annotations_file)
-        self.transform = transform
-
-    def __len__(self):
-        return len(self.img_labels)
-
-    def __getitem__(self, idx):
-        image = Image.open(self.img_labels.iloc[idx, 0]).convert('RGB')
-
-        label = torch.tensor(int(self.img_labels.iloc[idx, 1]))
-
-        if self.transform:
-            image = self.transform(image)
-
-        return image, label
-

common/colors.py

@@ -2,6 +2,5 @@ BLACK = (0, 0, 0)
 WHITE = (255, 255, 255)
 ORANGE = (249, 141, 42)
 RED = (255, 58, 58)
-GREEN = (0, 255, 0)
 
 FONT_DARK = (37, 37, 37)

common/constants.py

@@ -1,96 +1,35 @@
-from enum import Enum
-import torchvision.transforms as transforms
-import torch
-
 GAME_TITLE = 'WMICraft'
 WINDOW_HEIGHT = 800
 WINDOW_WIDTH = 1360
-FPS_COUNT = 60
-TURN_INTERVAL = 200
-
 GRID_CELL_PADDING = 5
-GRID_CELL_SIZE = 36
+GRID_CELL_WIDTH = 36
+GRID_CELL_HEIGHT = 36
 ROWS = 19
 COLUMNS = 24
-
 BORDER_WIDTH = 10
 BORDER_RADIUS = 5
-
+FPS_COUNT = 60
 KNIGHTS_SPAWN_WIDTH = 4
 KNIGHTS_SPAWN_HEIGHT = 7
 LEFT_KNIGHTS_SPAWN_FIRST_ROW = 6
 LEFT_KNIGHTS_SPAWN_FIRST_COL = 0
 RIGHT_KNIGHTS_SPAWN_FIRST_ROW = 6
 RIGHT_KNIGHTS_SPAWN_FIRST_COL = 20
+NBR_OF_WATER = 10
+NBR_OF_TREES = 16
 
 CASTLE_SPAWN_WIDTH = 6
 CASTLE_SPAWN_HEIGHT = 5
 CASTLE_SPAWN_FIRST_ROW = 7
 CASTLE_SPAWN_FIRST_COL = 9
-
-NBR_OF_WATER = 16
-NBR_OF_TREES = 20
-NBR_OF_MONSTERS = 2
-NBR_OF_SANDS = 35
-
 TILES = [
     'grass1.png',
     'grass2.png',
     'grass3.png',
-    'grass4.png',
+    # 'grass4.png',
+    # 'grass5.png',
+    # 'grass6.png',
     'sand.png',
     'water.png',
     'grass_with_tree.jpg',
 ]
-
-
-class Direction(Enum):
-    UP = 0
-    RIGHT = 1
-    DOWN = 2
-    LEFT = 3
-
-    def right(self):
-        v = (self.value + 1) % 4
-        return Direction(v)
-
-    def left(self):
-        v = (self.value - 1) % 4
-        return Direction(v)
-
-
-ACTION = {
-    "rotate_left": -1,
-    "rotate_right": 1,
-    "go": 0,
-}
-
-LEFT = 'LEFT'
-RIGHT = 'RIGHT'
-UP = 'UP'
-DOWN = 'DOWN'
-
-# HEALTH_BAR
-BAR_ANIMATION_SPEED = 1
-BAR_WIDTH_MULTIPLIER = 0.9  # (0;1>
-BAR_HEIGHT_MULTIPLIER = 0.1
-
-
-#NEURAL_NETWORK
-LEARNING_RATE = 0.000630957344480193
-BATCH_SIZE = 64
-NUM_EPOCHS = 9
-
-DEVICE = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
-print("Using ", DEVICE)
-CLASSES = ['grass', 'sand', 'tree', 'water']
-
-SETUP_PHOTOS = transforms.Compose([
-    transforms.ToTensor(),
-    transforms.Resize((36, 36)),
-    transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])
-])
-
-ID_TO_CLASS = {i: j for i, j in enumerate(CLASSES)}
-CLASS_TO_ID = {value: key for key, value in ID_TO_CLASS.items()}
-

common/helpers.py

@@ -1,22 +1,5 @@
-from typing import Tuple, List
-
 import pygame
 
-from algorithms.genetic.const import MAP_ALIASES
-from common.constants import GRID_CELL_PADDING, GRID_CELL_SIZE, COLUMNS, ROWS, CLASSES, CLASS_TO_ID
-import csv
-import os
-
-from common.constants import GRID_CELL_PADDING, GRID_CELL_SIZE
-from common.constants import ROWS, COLUMNS, LEFT, RIGHT, UP, DOWN
-
-directions = {
-    LEFT: (0, -1),
-    RIGHT: (0, 1),
-    UP: (-1, 0),
-    DOWN: (1, 0)
-}
-
 
 def draw_text(text, color, surface, x, y, text_size=30, is_bold=False):
     if is_bold:
@@ -27,93 +10,3 @@ def draw_text(text, color, surface, x, y, text_size=30, is_bold=False):
     textrect = textobj.get_rect()
     textrect.topleft = (x, y)
     surface.blit(textobj, textrect)
-
-
-def createCSV():
-    train_data_path = './data/train'
-    test_data_path = './data/test'
-
-    if os.path.exists(train_data_path):
-        train_csvfile = open('./data/train_csv_file.csv', 'w', newline="")
-        writer = csv.writer(train_csvfile)
-        writer.writerow(["filepath", "type"])
-
-        for class_name in CLASSES:
-            class_dir = train_data_path + "/" + class_name
-            for filename in os.listdir(class_dir):
-                f = os.path.join(class_dir, filename)
-                if os.path.isfile(f):
-                    writer.writerow([f, CLASS_TO_ID[class_name]])
-
-        train_csvfile.close()
-
-    else:
-        print("Brak plików do uczenia")
-
-    if os.path.exists(test_data_path):
-        test_csvfile = open('./data/test_csv_file.csv', 'w', newline="")
-        writer = csv.writer(test_csvfile)
-        writer.writerow(["filepath", "type"])
-
-        for class_name in CLASSES:
-            class_dir = test_data_path + "/" + class_name
-            for filename in os.listdir(class_dir):
-                f = os.path.join(class_dir, filename)
-                if os.path.isfile(f):
-                    writer.writerow([f, CLASS_TO_ID[class_name]])
-
-        test_csvfile.close()
-    else:
-        print("Brak plików do testowania")
-
-
-def print_numbers():
-    display_surface = pygame.display.get_surface()
-    font = pygame.font.SysFont('Arial', 16)
-
-    for row_index in range(ROWS):
-        for col_index in range(COLUMNS):
-            x = (GRID_CELL_PADDING + GRID_CELL_SIZE) * col_index + GRID_CELL_PADDING + 7
-            y = (GRID_CELL_PADDING + GRID_CELL_SIZE) * row_index + GRID_CELL_PADDING + 16
-            display_surface.blit(font.render(f'[{col_index}, {row_index}]', True, (255, 0, 0)), (x, y))
-    pygame.display.update()
-
-
-# parse array index to screen x or y coordinate
-def parse_cord(cord):
-    return (GRID_CELL_PADDING + GRID_CELL_SIZE) * cord + GRID_CELL_PADDING + 7
-
-
-def castle_neighbors(map, castle_bottom_right_row, castle_bottom_right_col):
-    neighbors = []
-    for row_add in range(-2, 2):
-        new_row = castle_bottom_right_row + row_add
-        if 0 <= new_row <= len(map) - 1:
-            for col_add in range(-2, 2):
-                new_col = castle_bottom_right_col + col_add
-                if 0 <= new_col <= len(map) - 1:
-                    if (new_col == castle_bottom_right_col - 1 and new_row == castle_bottom_right_row - 1) \
-                            or (new_col == castle_bottom_right_col and new_row == castle_bottom_right_row - 1) \
-                            or (new_col == castle_bottom_right_col - 1 and new_row == castle_bottom_right_row) \
-                            or (new_col == castle_bottom_right_col and new_row == castle_bottom_right_row):
-                        continue
-                    neighbors.append((new_col, new_row))
-    return neighbors
-
-
-def find_neighbours(grid: List[List[int]], col: int, row: int) -> List[Tuple[int, int]]:
-    dr = [-1, 1, 0, 0]
-    dc = [0, 0, -1, 1]
-
-    neighbours = []
-
-    for i in range(4):
-        rr = row + dr[i]
-        cc = col + dc[i]
-
-        if rr < 0 or cc < 0: continue
-        if rr >= ROWS or cc >= COLUMNS: continue
-        if grid[rr][cc] not in [MAP_ALIASES.get("GRASS"), MAP_ALIASES.get("SAND"), '.']: continue
-        neighbours.append((rr, cc))
-
-    return neighbours

learning/dataset_tree_300.csv

@@ -1,302 +0,0 @@
-tower_dist;mob1_dist;mob2_dist;opp1_dist;opp2_dist;opp3_dist;opp4_dist;agent_hp;tower_hp;mob1_hp;mob2_hp;opp1_hp;opp2_hp;opp3_hp;opp4_hp;goal
-24;37;41;19;37;29;20;3;38;13;3;12;9;0;10;tower
-1;35;11;38;37;10;34;4;11;15;7;5;0;6;4;tower
-7;10;5;41;17;27;19;8;31;14;2;2;7;4;0;mob2
-15;3;12;18;9;25;40;8;44;7;5;10;0;5;9;mob1
-18;19;21;12;8;13;10;2;44;5;2;9;7;1;10;opp3
-19;30;11;34;17;26;13;3;35;4;2;0;12;2;12;mob2
-13;17;10;7;9;30;9;2;40;1;5;10;9;12;3;opp4
-14;30;21;11;18;21;7;12;28;5;3;4;0;11;0;tower
-7;38;7;21;5;25;15;6;14;1;4;12;10;12;8;tower
-40;24;41;39;1;9;38;2;12;6;1;1;1;9;11;opp2
-41;2;24;15;17;19;3;10;54;6;6;11;1;2;0;mob1
-25;42;32;25;6;19;11;12;25;10;3;8;11;4;6;tower
-6;19;38;10;32;17;24;5;67;12;3;8;4;10;2;tower
-24;35;32;37;10;7;9;4;75;10;7;11;3;12;10;opp2
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-37;26;34;5;9;20;18;12;41;13;6;0;0;6;6;tower
-40;35;12;6;10;10;18;10;29;14;1;2;11;0;11;opp1
-2;35;18;2;9;34;10;4;42;0;0;2;3;10;6;opp1
-1;14;1;3;17;8;39;8;56;3;4;2;1;5;4;mob2
-40;28;8;20;37;2;42;10;19;8;1;3;7;8;0;mob2
-31;28;14;3;6;17;1;7;45;2;3;2;9;3;0;opp1
-24;13;15;11;38;28;13;12;51;3;4;6;4;2;12;mob2
-30;38;6;26;11;11;30;4;40;15;2;6;4;1;8;opp3
-42;37;32;2;5;19;35;2;64;9;5;12;3;8;3;opp2
-23;24;32;40;4;24;1;3;78;14;4;5;9;10;2;opp4
-5;22;19;22;41;3;34;11;50;5;2;6;10;1;3;opp3
-3;38;20;2;25;6;25;6;59;15;3;3;0;10;8;opp1
-33;41;39;42;38;29;27;5;33;14;5;5;2;1;12;opp3
-20;10;27;16;14;7;35;1;24;13;6;7;11;4;4;opp3
-6;8;4;35;12;40;15;10;38;12;7;0;10;6;5;mob2
-18;41;35;8;13;14;4;1;70;6;1;0;7;11;6;opp4
-39;42;12;28;11;40;7;3;71;3;7;5;2;1;10;opp2
-32;32;24;19;13;14;40;12;18;6;1;1;8;11;10;opp1
-31;14;16;12;33;25;5;5;8;8;6;8;6;5;2;opp4
-38;31;34;27;5;26;27;8;75;3;6;6;10;1;5;mob1
-2;7;23;8;24;28;20;2;31;5;7;9;0;11;11;tower
-39;43;17;21;31;13;41;8;43;10;5;4;10;6;8;mob1
-3;6;17;7;22;23;22;6;40;8;6;7;1;7;11;tower
-3;42;13;24;32;1;33;5;68;7;0;4;6;1;10;opp3
-12;26;4;18;2;42;29;10;41;11;3;10;10;10;9;mob2
-21;26;7;24;31;10;33;4;51;1;2;8;2;8;3;mob2
-39;22;7;20;5;29;38;10;8;4;1;9;12;11;0;mob2
-20;19;1;22;36;13;5;7;4;3;7;3;9;1;2;mob2
-4;7;42;17;6;14;26;11;45;9;4;10;6;11;2;tower
-23;27;11;25;38;26;34;10;77;13;7;4;3;5;9;mob1
-40;10;29;8;7;32;32;12;32;9;2;10;11;2;4;mob2
-37;22;34;17;17;25;40;5;74;9;3;3;8;2;9;opp1
-23;10;36;43;31;26;32;5;59;1;1;2;3;8;3;mob1
-14;32;8;4;17;33;8;9;74;5;1;7;12;7;3;mob2
-8;14;21;26;16;43;10;5;26;1;1;5;0;1;5;tower
-7;3;19;7;39;28;12;11;32;9;0;7;12;11;10;tower
-11;21;13;31;30;15;43;10;73;6;1;3;11;9;12;mob2
-28;10;32;28;26;36;38;4;15;11;0;12;11;12;7;mob1
-39;2;25;11;11;25;35;8;36;14;0;9;10;1;7;mob1
-43;41;39;38;16;5;35;12;48;14;4;7;3;11;6;opp2
-36;31;28;41;40;23;23;11;27;7;2;11;0;6;11;mob1
-28;8;38;39;31;3;7;7;47;0;6;8;0;2;6;opp3
-5;8;19;26;26;9;1;8;66;15;3;8;11;7;7;opp4
-36;28;27;7;25;1;21;10;63;0;6;4;2;10;4;opp1
-19;3;6;35;5;29;3;9;63;2;7;3;12;1;3;opp4
-27;5;36;31;6;10;27;12;9;8;6;10;9;6;11;mob1
-21;21;27;18;26;9;39;1;43;6;3;5;10;0;7;mob1
-12;39;15;31;32;9;39;7;26;4;0;12;5;0;12;tower
-41;18;22;33;25;6;37;1;77;14;7;12;7;4;8;opp3
-8;33;19;22;5;36;28;3;69;15;5;5;0;7;3;mob1
-24;8;15;16;21;18;15;9;78;4;0;4;9;5;4;mob2
-38;24;26;28;41;21;43;2;65;15;3;1;10;5;4;mob1
-33;17;6;4;34;36;25;6;35;4;4;10;9;0;3;mob2
-29;25;30;19;35;38;33;6;68;5;1;0;5;11;6;mob1
-23;43;41;25;27;26;19;7;12;8;3;4;10;11;9;tower
-7;9;18;31;36;21;16;4;23;8;4;9;8;11;5;tower
-35;21;39;36;36;37;33;10;41;9;4;1;0;7;0;mob1

learning/decision_tree.py

@@ -1,78 +0,0 @@
-from typing import List, Tuple
-
-import pandas as pd
-from sklearn.preprocessing import LabelEncoder
-from sklearn.tree import DecisionTreeClassifier
-
-from common.helpers import castle_neighbors, find_neighbours
-from models.castle import Castle
-from models.knight import Knight
-from models.monster import Monster
-
-
-def manhattan_distance(p1: Tuple[int, int], p2: Tuple[int, int]) -> int:
-    x1, y1 = p1
-    x2, y2 = p2
-    return abs(x1 - x2) + abs(y1 - y2)
-
-
-def parse_hp(hp: int) -> int:
-    return max(0, hp)
-
-
-def parse_idx_of_opp_or_monster(s: str) -> int:
-    return int(s[-1]) - 1
-
-
-class DecisionTree:
-    def __init__(self) -> None:
-        data_frame = pd.read_csv('learning/dataset_tree_1000.csv', delimiter=';')
-        unlabeled_goals = data_frame['goal']
-        self.goals_label_encoder = LabelEncoder()
-        self.goals = self.goals_label_encoder.fit_transform(unlabeled_goals)
-        self.train_set = data_frame.drop('goal', axis='columns')
-        self.model = DecisionTreeClassifier(criterion='entropy')
-        self.model.fit(self.train_set.values, self.goals)
-
-    def predict_move(self, grid: List[List[int]], current_knight: Knight, castle: Castle, monsters: List[Monster],
-                     opponents: List[Knight]) -> \
-            List[Tuple[int, int]]:
-        distance_to_castle = manhattan_distance(current_knight.position, castle.position)
-
-        monsters_parsed = []
-        for monster in monsters:
-            monsters_parsed.append((manhattan_distance(current_knight.position, monster.position), parse_hp(
-                monster.health_bar.current_hp)))
-
-        opponents_parsed = []
-        for opponent in opponents:
-            opponents_parsed.append(
-                (manhattan_distance(current_knight.position, opponent.position),
-                 parse_hp(opponent.health_bar.current_hp)))
-
-        prediction = self.get_prediction(tower_dist=distance_to_castle, tower_hp=castle.health_bar.current_hp,
-                                         mob1_dist=monsters_parsed[0][0], mob1_hp=monsters_parsed[0][1],
-                                         mob2_dist=monsters_parsed[1][0], mob2_hp=monsters_parsed[1][1],
-                                         opp1_dist=opponents_parsed[0][0], opp1_hp=opponents_parsed[0][1],
-                                         opp2_dist=opponents_parsed[1][0], opp2_hp=opponents_parsed[1][1],
-                                         opp3_dist=opponents_parsed[2][0], opp3_hp=opponents_parsed[2][1],
-                                         opp4_dist=opponents_parsed[3][0], opp4_hp=opponents_parsed[3][1],
-                                         agent_hp=current_knight.health_bar.current_hp)
-        print(f'Prediction = {prediction}')
-        if prediction == 'tower':  # castle...
-            return castle_neighbors(grid, castle_bottom_right_row=castle.position[0],
-                                    castle_bottom_right_col=castle.position[1])
-        elif prediction.startswith('opp'):
-            idx = parse_idx_of_opp_or_monster(prediction)
-            return find_neighbours(grid, opponents[idx].position[1], opponents[idx].position[0])
-        else:
-            idx = parse_idx_of_opp_or_monster(prediction)
-            return find_neighbours(grid, monsters[idx].position[1], monsters[idx].position[0])
-
-    def get_prediction(self, tower_dist: int, mob1_dist: int, mob2_dist: int, opp1_dist: int, opp2_dist: int,
-                       opp3_dist: int, opp4_dist: int, agent_hp: int, tower_hp: int, mob1_hp: int, mob2_hp: int,
-                       opp1_hp: int, opp2_hp: int, opp3_hp: int, opp4_hp) -> str:
-        prediction = self.model.predict(
-            [[tower_dist, mob1_dist, mob2_dist, opp1_dist, opp2_dist, opp3_dist, opp4_dist, agent_hp,
-              tower_hp, mob1_hp, mob2_hp, opp1_hp, opp2_hp, opp3_hp, opp4_hp]])
-        return self.goals_label_encoder.inverse_transform(prediction)[0]

logic/__tests__/knights_queue_test.py

@@ -7,40 +7,40 @@ from models.knight import Knight
 class KnightsQueueTest(unittest.TestCase):
     def test_should_skip_dead_knights(self):
         knight1 = Knight(None)
-        knight1.max_hp = 0
+        knight1.health = 0
 
         knight2 = Knight(None)
-        knight2.max_hp = 0
+        knight2.health = 0
 
         knight3 = Knight(None)
-        knight3.max_hp = 1
+        knight3.health = 1
 
         knight4 = Knight(None)
-        knight4.max_hp = 0
+        knight4.health = 0
 
         knight5 = Knight(None)
-        knight5.max_hp = 0
+        knight5.health = 0
 
         knight6 = Knight(None)
-        knight6.max_hp = 1
+        knight6.health = 1
 
         knights_queue = KnightsQueue([knight1, knight2, knight3], [knight4, knight5, knight6])
 
         res1 = knights_queue.dequeue_knight()
         res2 = knights_queue.dequeue_knight()
 
-        self.assertEqual(res1.max_hp, 1)
+        self.assertEqual(res1.health, 1)
-        self.assertEqual(res2.max_hp, 1)
+        self.assertEqual(res2.health, 1)
 
     def test_should_return_first_alive_knight(self):
         knight1 = Knight(None)
-        knight1.max_hp = 222
+        knight1.health = 222
 
         knight2 = Knight(None)
-        knight2.max_hp = -1
+        knight2.health = -1
 
         knight3 = Knight(None)
-        knight3.max_hp = 1
+        knight3.health = 1
 
         knights_queue = KnightsQueue([knight1, knight2], [knight3])
 
@@ -55,22 +55,22 @@ class KnightsQueueTest(unittest.TestCase):
     def test_should_raise_when_knight_died_and_whole_team_dead(self):
         with self.assertRaises(Exception):
             knight1 = Knight(None)
-            knight1.max_hp = 222
+            knight1.health = 222
             knight2 = Knight(None)
-            knight2.max_hp = 1
+            knight2.health = 1
 
             knights_queue = KnightsQueue([knight1], [knight2])
             knights_queue.dequeue_knight()
             knights_queue.dequeue_knight()
-            knight2.max_hp = -2
+            knight2.health = -2
             knights_queue.dequeue_knight()
             knights_queue.dequeue_knight()
 
     def test_should_make_valid_next_turn(self):
         knight1 = Knight(None)
-        knight1.max_hp = 222
+        knight1.health = 222
         knight2 = Knight(None)
-        knight2.max_hp = 1
+        knight2.health = 1
 
         knights_queue = KnightsQueue([knight1], [knight2])
         previous_turn = knights_queue.team_idx_turn
@@ -82,13 +82,13 @@ class KnightsQueueTest(unittest.TestCase):
     def test_should_raise_when_team_has_dead_knights(self):
         with self.assertRaises(Exception):
             knight1 = Knight(None)
-            knight1.max_hp = 0
+            knight1.health = 0
             knight2 = Knight(None)
-            knight2.max_hp = -1
+            knight2.health = -1
             knight3 = Knight(None)
-            knight3.max_hp = -2
+            knight3.health = -2
             knight4 = Knight(None)
-            knight4.max_hp = 20
+            knight4.health = 20
 
             knights_queue = KnightsQueue([knight1, knight2, knight3], [knight4])
 
@@ -97,9 +97,9 @@ class KnightsQueueTest(unittest.TestCase):
 
     def test_should_return_knight_from_any_team_and_add_to_queue_again(self):
         knight1 = Knight(None)
-        knight1.max_hp = 10
+        knight1.health = 10
         knight2 = Knight(None)
-        knight2.max_hp = 20
+        knight2.health = 20
         knights_queue = KnightsQueue([knight1], [knight2])
 
         result1 = knights_queue.dequeue_knight()
@@ -109,12 +109,12 @@ class KnightsQueueTest(unittest.TestCase):
         self.assertIsNotNone(result1)
         self.assertIsNotNone(result2)
         self.assertIsNotNone(result3)
-        self.assertTrue(result1.max_hp == result3.max_hp)
+        self.assertTrue(result1.health == result3.health)
 
     def test_should_raise_when_only_one_team_alive(self):
         with self.assertRaises(Exception):
             knight = Knight(None)
-            knight.max_hp = 21
+            knight.health = 21
             knights_queue = KnightsQueue([knight], [])
             knights_queue.dequeue_knight()
 

logic/field.py

@@ -0,0 +1,28 @@
+import pygame
+
+from logic.exceptions import FieldNotWalkable
+
+
+class Field(pygame.sprite.Sprite):
+    def __init__(self, texture_path, converted_texture, img, rect, row=0, column=0):
+        super().__init__()
+        self.texture_path = texture_path
+        self.converted_texture = converted_texture
+        self.image = img
+        self.row = row
+        self.column = column
+        self.rect = rect
+        self.busy = False
+        self.busy_detection()
+
+    def busy_detection(self):
+        if self.texture_path == 'water.png' or self.texture_path == 'grass_with_tree.jpg':
+            self.busy = True
+
+    def put_on(self, obj):  # ustawia objekt na srodku pola
+        if not self.busy:
+            obj.rect = obj.rect.clamp(self.rect)
+            self.busy = True
+            obj.update()
+        else:
+            raise FieldNotWalkable

logic/game.py

@@ -2,15 +2,19 @@ import sys
 
 import pygame
 
+from common.colors import FONT_DARK, WHITE
 from common.constants import *
-from common.helpers import print_numbers
+from common.helpers import draw_text
-from logic.level import Level
+from logic.knights_queue import KnightsQueue
+from models.castle import Castle
+from models.knight import Knight
+from models.monster import Monster
 from ui.logs import Logs
 from ui.screens.credits import Credits
-from ui.screens.main_menu import MainMenu
 from ui.screens.options import Options
 from ui.stats import Stats
-from logic.health_bar import HealthBar
+from .grid import Grid
+from .spawner import Spawner
 
 
 class Game:
@@ -20,35 +24,101 @@ class Game:
         pygame.display.set_icon(pygame.image.load('./resources/icons/sword.png'))
 
         self.screen = pygame.display.set_mode((WINDOW_WIDTH, WINDOW_HEIGHT))
-
         self.clock = pygame.time.Clock()
 
+        self.tiles = []
+        for tile_path in TILES:
+            converted_tile = pygame.image.load('resources/textures/' + tile_path).convert_alpha()
+            self.tiles.append((tile_path, converted_tile))
+
         self.bg = pygame.image.load("./resources/textures/bg.jpg")
         self.screens = {'credits': Credits(self.screen, self.clock), 'options': Options(self.screen, self.clock)}
 
+    click = False
 
     def main_menu(self):
-        menu = MainMenu(self.screen, self.clock, self.bg,
+        while True:
-                        self.game,
+            self.screen.blit(self.bg, (0, 0))
-                        self.screens['options'].display_screen,
+
-                        self.screens['credits'].display_screen)
+            pygame.draw.rect(self.screen, (255, 255, 255), pygame.Rect(800, 100, 400, 500), 0, 5)
-        menu.display_screen()
+            draw_text('MAIN MENU', FONT_DARK, self.screen, 850, 150, 30, True)
+
+            mx, my = pygame.mouse.get_pos()
+
+            button_1 = pygame.Rect(850, 250, 300, 50)
+            button_2 = pygame.Rect(850, 350, 300, 50)
+            button_3 = pygame.Rect(850, 450, 300, 50)
+            if button_1.collidepoint((mx, my)):
+                if click:
+                    self.game()
+            if button_2.collidepoint((mx, my)):
+                if click:
+                    self.screens['options'].display_screen()
+            if button_3.collidepoint((mx, my)):
+                if click:
+                    self.screens['credits'].display_screen()
+            pygame.draw.rect(self.screen, (0, 191, 255), button_1, 0, 4)
+            draw_text('PLAY', WHITE, self.screen, 870, 255)
+
+            pygame.draw.rect(self.screen, (0, 191, 255), button_2, 0, 4)
+            draw_text('OPTIONS', WHITE, self.screen, 870, 355)
+
+            pygame.draw.rect(self.screen, (0, 191, 255), button_3, 0, 4)
+            draw_text('CREDITS', WHITE, self.screen, 870, 455)
+
+            click = False
+            for event in pygame.event.get():
+                if event.type == pygame.QUIT:
+                    pygame.quit()
+                    sys.exit()
+                if event.type == pygame.KEYDOWN:
+                    if event.key == pygame.K_ESCAPE:
+                        pygame.quit()
+                        sys.exit()
+                if event.type == pygame.MOUSEBUTTONDOWN:
+                    if event.button == 1:
+                        click = True
+
+            pygame.display.update()
+            self.clock.tick(60)
 
     def game(self):
-        logs = Logs(self.screen)
-        level = Level(self.screen, logs)
-
-        # setup clock for rounds
-        NEXT_TURN = pygame.USEREVENT + 1
-        pygame.time.set_timer(NEXT_TURN, TURN_INTERVAL)
-
-        # create level
-        level.create_map()
-        stats = Stats(self.screen, level.list_knights_blue, level.list_knights_red)
-        level.setup_stats(stats)
-
-        print_numbers_flag = False
         running = True
+        grid = Grid(self.tiles)
+        stats = Stats()
+        logs = Logs(self.screen)
+
+        knights_sprite_group = pygame.sprite.Group()
+        monsters_sprite_group = pygame.sprite.Group()
+        castle_sprite_group = pygame.sprite.Group()
+
+        knights_left = self.generate_knights_team(knights_sprite_group)
+        knights_right = self.generate_knights_team(knights_sprite_group)
+
+        knights_queue = KnightsQueue(knights_left, knights_right)
+
+        spawn_left_team = Spawner(grid, knights_left, KNIGHTS_SPAWN_WIDTH, KNIGHTS_SPAWN_HEIGHT,
+                                  LEFT_KNIGHTS_SPAWN_FIRST_ROW, LEFT_KNIGHTS_SPAWN_FIRST_COL)
+        spawn_right_team = Spawner(grid, knights_right, KNIGHTS_SPAWN_WIDTH, KNIGHTS_SPAWN_HEIGHT,
+                                   RIGHT_KNIGHTS_SPAWN_FIRST_ROW,
+                                   RIGHT_KNIGHTS_SPAWN_FIRST_COL)
+
+        spawn_left_team.spawn()
+        spawn_right_team.spawn()
+
+        spawned_monsters = self.generate_monster(monsters_sprite_group)
+        monster_spawn = Spawner(grid, spawned_monsters, spawn_where_possible=True)
+
+        monster_spawn.spawn()
+
+        spawned_castle = self.generate_castle(castle_sprite_group)
+        castle_spawn = Spawner(grid, [spawned_castle], CASTLE_SPAWN_WIDTH, CASTLE_SPAWN_HEIGHT,
+                               CASTLE_SPAWN_FIRST_ROW, CASTLE_SPAWN_FIRST_COL)
+
+        castle_spawn.spawn()
+
+        # grid.put_on_tile(0, 0, knights_left[0])
+        i = 0  # log testing
         while running:
             self.screen.blit(self.bg, (0, 0))
 
@@ -59,18 +129,40 @@ class Game:
                 if event.type == pygame.KEYDOWN:
                     if event.key == pygame.K_ESCAPE:
                         running = False
-                    if event.key == pygame.K_n:
+                    if event.key == pygame.K_SPACE:  # log testing
-                        print_numbers_flag = not print_numbers_flag
+                        logs.enqueue_log(f'AI: Zmiana pozycji na (4, {i}).')
+                        i = i + 1
 
-                if event.type == NEXT_TURN:  # is called every 'TURN_INTERVAL' milliseconds
+            grid.update(self.screen)
-                    level.handle_turn()
+            stats.draw(self.screen)
-
-            stats.update()
             logs.draw()
-            level.update()
-
-            if print_numbers_flag:
-                print_numbers()
 
+            knights_sprite_group.draw(self.screen)
+            monsters_sprite_group.draw(self.screen)
+            castle_sprite_group.draw(self.screen)
             pygame.display.update()
             self.clock.tick(FPS_COUNT)
+
+    @staticmethod
+    def generate_knights_team(knights_sprite_group):
+        knights = []
+        for i in range(4):
+            knight = Knight("./resources/textures/knight.png")
+            knights.append(knight)
+            knights_sprite_group.add(knight)
+        return knights
+
+    @staticmethod
+    def generate_monster(monsters_sprite_group):
+        monsters = []
+        for i in range(2):
+            monster = Monster()
+            monsters.append(monster)
+            monsters_sprite_group.add(monster)
+        return monsters
+
+    @staticmethod
+    def generate_castle(castle_sprite_group):
+        castle = Castle()
+        castle_sprite_group.add(castle)
+        return castle

logic/grid.py

@@ -0,0 +1,86 @@
+import random
+import numpy as np
+import pygame
+
+from common.constants import ROWS, COLUMNS, GRID_CELL_PADDING, GRID_CELL_WIDTH, GRID_CELL_HEIGHT, BORDER_WIDTH, \
+    BORDER_RADIUS, NBR_OF_TREES, NBR_OF_WATER
+from .exceptions import FieldNotWalkable
+from .field import Field
+
+
+class Grid:
+    def __init__(self, textures):
+        self.textures = textures
+        self.grid = []
+        self.free_fields = []
+        self.busy_fields = []
+        podkladka = np.zeros((ROWS, COLUMNS))
+        for drzewa in range(0, NBR_OF_TREES):
+            rzad = random.randint(0, ROWS - 1)
+            kolumna = random.randint(0, COLUMNS - 1)
+            if podkladka[rzad][kolumna] == 0:
+                podkladka[rzad][kolumna] = 1
+            else:
+                drzewa = drzewa - 1
+        for i in range(0, NBR_OF_WATER):
+            rzad = random.randint(0, ROWS - 1)
+            kolumna = random.randint(0, COLUMNS - 1)
+            if podkladka[rzad][kolumna] == 0:
+                podkladka[rzad][kolumna] = 2
+            else:
+                drzewa = drzewa - 1
+
+        for row in range(ROWS):
+            self.grid.append([])
+            for column in range(COLUMNS):
+                box_rect = [(GRID_CELL_PADDING + GRID_CELL_WIDTH) * column + GRID_CELL_PADDING + 7,
+                            (GRID_CELL_PADDING + GRID_CELL_HEIGHT) * row + GRID_CELL_PADDING + 7,
+                            GRID_CELL_WIDTH,
+                            GRID_CELL_HEIGHT]
+                if podkladka[row][column] == 1:
+                    texture_path, converted_texture = self.textures[-1]
+                elif podkladka[row][column] == 2:
+                    texture_path, converted_texture = self.textures[-2]
+                else:
+                    texture_path, converted_texture = self.get_random_texture()
+                field = Field(
+                    texture_path,
+                    converted_texture,
+                    pygame.transform.scale(converted_texture,
+                                           (GRID_CELL_WIDTH,
+                                            GRID_CELL_HEIGHT)),
+                    pygame.Rect(box_rect),
+                    row=row,
+                    column=column
+                )
+                if field.busy:
+                    self.busy_fields.append(field)
+                else:
+                    self.free_fields.append(field)
+
+                self.grid[row].append(pygame.sprite.Group(field))
+
+    def update(self, screen):
+        self.draw(screen)
+
+    def get_random_texture(self):
+        texture_index = random.randint(0, len(self.textures) - 3)
+        return self.textures[texture_index]
+
+    def get_tile(self, row, column):
+        return pygame.sprite.Group.sprites(self.grid[row][column])[0]  # iteruj kolumny i wiersze od 0
+
+    def put_on_tile(self, row, column, obj):  # iteruj kolumny i wiersze od 0
+        try:
+            self.get_tile(row, column).put_on(obj)
+        except FieldNotWalkable:
+            print("Field busy")
+
+    def draw(self, screen):
+        bg_width = (GRID_CELL_PADDING + GRID_CELL_WIDTH) * COLUMNS + BORDER_WIDTH
+        bg_height = (GRID_CELL_PADDING + GRID_CELL_HEIGHT) * ROWS + BORDER_WIDTH
+        pygame.draw.rect(screen, (255, 255, 255), pygame.Rect(5, 5, bg_width, bg_height), 0, BORDER_RADIUS)
+
+        for fields_row in self.grid:
+            for fields in fields_row:
+                fields.draw(screen)

logic/health_bar.py

@@ -1,59 +0,0 @@
-import pygame
-from common.constants import BAR_ANIMATION_SPEED, BAR_WIDTH_MULTIPLIER, BAR_HEIGHT_MULTIPLIER
-from common.colors import FONT_DARK, ORANGE, WHITE, RED, GREEN, BLACK
-
-
-class HealthBar:
-    def __init__(self, screen, rect: pygame.rect, current_hp, max_hp, calculate_xy=False, calculate_size=False):
-        self.health_ratio = None
-        self.rect = rect
-        self.screen = screen
-        self.current_hp = current_hp
-        self.max_hp = max_hp
-        self.x = self.rect.x
-        self.y = self.rect.y
-        self.calculate_xy = calculate_xy
-
-        if calculate_size:
-            self.width = int(self.rect.width * BAR_WIDTH_MULTIPLIER) - 2
-            self.height = int(self.rect.width * BAR_HEIGHT_MULTIPLIER) - 2
-        else:
-            self.width = self.rect.width - 2
-            self.height = self.rect.height - 2
-
-        self.update_stats()
-
-    def update(self):
-        self.update_stats()
-        self.show()
-
-    def update_stats(self):
-        if self.calculate_xy:
-            self.x = int(self.rect.width * (1 - BAR_WIDTH_MULTIPLIER)/2) + self.rect.x + 1
-            self.y = int(self.rect.height * BAR_HEIGHT_MULTIPLIER/2) + self.rect.y + 1
-        else:
-            self.x = self.rect.x + 1
-            self.y = self.rect.y + 1
-
-        self.health_ratio = self.max_hp / self.width
-
-    def take_dmg(self, amount):
-        if self.current_hp - amount > 0:
-            self.current_hp -= amount
-        elif self.current_hp - amount <= 0:
-            self.current_hp = 0
-
-    def heal(self, amount):
-        if self.current_hp + amount < self.max_hp:
-            self.current_hp += amount
-        elif self.current_hp + amount >= self.max_hp:
-            self.current_hp = self.max_hp
-
-    def show(self):
-        pygame.Surface.fill(self.screen, BLACK, (self.x-1, self.y-1, self.width+2, self.height+2))
-        pygame.Surface.fill(self.screen, RED, (self.x, self.y, self.width, self.height))
-        pygame.Surface.fill(self.screen, GREEN, (self.x, self.y, int(self.current_hp / self.health_ratio), self.height))
-
-
-
-

logic/knights_queue.py

@@ -10,7 +10,7 @@ class KnightsQueue:
     def dequeue_knight(self):
         if self.both_teams_alive():
             knight = self.queues[self.team_idx_turn].popleft()
-            if knight.health_bar.current_hp <= 0:
+            if knight.health <= 0:
                 return self.dequeue_knight()
             else:
                 self.queues[self.team_idx_turn].append(knight)

logic/level.py

@@ -1,286 +0,0 @@
-import random
-
-import pygame
-
-from algorithms.a_star import a_star, State, TURN_RIGHT, TURN_LEFT, FORWARD
-from algorithms.genetic.const import MAP_ALIASES
-from algorithms.genetic.map_importer_exporter import import_random_map
-from common.constants import *
-from learning.decision_tree import DecisionTree
-from logic.knights_queue import KnightsQueue
-from models.castle import Castle
-from models.knight import Knight
-from models.monster import Monster
-from models.tile import Tile
-
-
-class Level:
-    def __init__(self, screen, logs):
-        self.screen = screen
-        self.logs = logs
-        self.decision_tree = DecisionTree()
-        # sprite group setup
-        self.sprites = pygame.sprite.LayeredUpdates()
-
-        self.map = []
-
-        self.list_knights_blue = []
-        self.list_knights_red = []
-        self.list_monsters = []
-        self.list_castles = []
-
-        self.knights_queue = None
-
-        self.stats = None
-
-    def setup_stats(self, stats):
-        self.stats = stats
-
-    def add_points(self, team, points_to_add):
-        if self.stats is not None:
-            self.stats.add_points(team, points_to_add)
-
-    def create_map(self):
-        self.map = import_random_map()
-        self.setup_base_tiles()
-        self.setup_objects()
-        self.knights_queue = KnightsQueue(self.list_knights_blue, self.list_knights_red)
-
-    def setup_base_tiles(self):
-        textures = []
-        for texture_path in TILES:
-            converted_texture = pygame.image.load('resources/textures/' + texture_path).convert_alpha()
-            converted_texture = pygame.transform.scale(converted_texture, (40, 40))
-            textures.append((texture_path, converted_texture))
-
-        for row_index, row in enumerate(self.map):
-            for col_index, col in enumerate(row):
-
-                # add base tiles, e.g. water, tree, grass
-                if col == MAP_ALIASES.get('WATER'):
-                    texture_index = 5
-                    texture_surface = textures[texture_index][1]
-                    Tile((col_index, row_index), texture_surface, self.sprites, 'w')
-                elif col == MAP_ALIASES.get('TREE'):
-                    texture_index = 6
-                    texture_surface = textures[texture_index][1]
-                    Tile((col_index, row_index), texture_surface, self.sprites, 't')
-                elif col == MAP_ALIASES.get('SAND'):
-                    texture_index = 4
-                    texture_surface = textures[texture_index][1]
-                    Tile((col_index, row_index), texture_surface, self.sprites)
-                else:
-                    texture_index = random.randint(0, 3)
-                    texture_surface = textures[texture_index][1]
-                    Tile((col_index, row_index), texture_surface, self.sprites)
-
-    def setup_objects(self):
-        castle_count = 0  # TODO: find some smarter method to print castle
-
-        for row_index, row in enumerate(self.map):
-            print(row)
-            for col_index, col in enumerate(row):
-
-                # add objects, e.g. knights, monsters, castle
-                if col == MAP_ALIASES.get('KNIGHT_BLUE'):
-                    knight = Knight(self.screen, (col_index, row_index), self.sprites, "blue")
-                    self.map[row_index][col_index] = knight
-                    self.list_knights_blue.append(knight)
-                elif col == MAP_ALIASES.get('KNIGHT_RED'):
-                    knight = Knight(self.screen, (col_index, row_index), self.sprites, "red")
-                    self.map[row_index][col_index] = knight
-                    self.list_knights_red.append(knight)
-                elif col == MAP_ALIASES.get('MONSTER'):
-                    monster = Monster(self.screen, (col_index, row_index), self.sprites)
-                    self.map[row_index][col_index] = monster
-                    self.list_monsters.append(monster)
-                elif col == MAP_ALIASES.get('CASTLE'):
-                    castle_count += 1
-                    if castle_count == 4:
-                        castle = Castle(self.screen, (col_index, row_index), self.sprites)
-                        self.map[row_index][col_index] = castle
-                        self.list_castles.append(castle)
-
-    #def attack_knight(self, knights_list, positions, current_knight):
-    #    op_pos_1 = current_knight.position[0] - 1, current_knight.position[1]
-    #    positions.append(op_pos_1)
-    #    op_pos_2 = current_knight.position[0], current_knight.position[1] - 1
-    #    positions.append(op_pos_2)
-    #    op_pos_3 = current_knight.position[0] + 1, current_knight.position[1]
-    #    positions.append(op_pos_3)
-    #    op_pos_4 = current_knight.position[0], current_knight.position[1] + 1
-    #    positions.append(op_pos_4)
-    #    for some_knight in knights_list:
-    #        for some_position in positions:
-    #            if (some_knight.position == some_position and some_knight.team != current_knight.team):
-    #                some_knight.health_bar.take_dmg(current_knight.attack)
-    #                if some_knight.health_bar.current_hp == 0:
-    #                    some_knight.kill()
-    #    positions.clear()
-
-    def attack_knight_left(self, knights_list, current_knight):
-        position_left = current_knight.position[0] - 1, current_knight.position[1]
-        for some_knight in knights_list:
-            if (some_knight.position == position_left and some_knight.team != current_knight.team):
-                some_knight.health_bar.take_dmg(current_knight.attack)
-                if some_knight.health_bar.current_hp <= 0:
-                    some_knight.kill()
-                    self.add_points(current_knight.team, 5)
-        for monster in self.list_monsters:
-            if monster.position == position_left:
-                monster.health_bar.take_dmg(current_knight.attack)
-                if monster.health_bar.current_hp <= 0:
-                    monster.kill()
-                    self.add_points(current_knight.team, monster.points)
-                else:
-                    current_knight.health_bar.take_dmg(monster.attack)
-                    if current_knight.health_bar.current_hp <= 0:
-                        current_knight.kill()
-        for castle in self.list_castles:
-            if castle.position == position_left:
-                castle.health_bar.take_dmg(current_knight.attack)
-
-
-    def attack_knight_right(self, knights_list, current_knight):
-        position_right = current_knight.position[0] + 1, current_knight.position[1]
-        for some_knight in knights_list:
-            if (some_knight.position == position_right and some_knight.team != current_knight.team):
-                some_knight.health_bar.take_dmg(current_knight.attack)
-                if some_knight.health_bar.current_hp == 0:
-                    some_knight.kill()
-                    self.add_points(current_knight.team, 5)
-        for monster in self.list_monsters:
-            if monster.position == position_right:
-                monster.health_bar.take_dmg(current_knight.attack)
-                if monster.health_bar.current_hp <= 0:
-                    monster.kill()
-                    self.add_points(current_knight.team, monster.points)
-                else:
-                    current_knight.health_bar.take_dmg(monster.attack)
-                    if current_knight.health_bar.current_hp <= 0:
-                        current_knight.kill()
-        for castle in self.list_castles:
-            if castle.position == position_right:
-                castle.health_bar.take_dmg(current_knight.attack)
-
-    def attack_knight_up(self, knights_list, current_knight):
-        position_up = current_knight.position[0], current_knight.position[1] - 1
-        for some_knight in knights_list:
-            if (some_knight.position == position_up and some_knight.team != current_knight.team):
-                some_knight.health_bar.take_dmg(current_knight.attack)
-                if some_knight.health_bar.current_hp == 0:
-                    some_knight.kill()
-                    self.add_points(current_knight.team, 5)
-        for monster in self.list_monsters:
-            if monster.position == position_up:
-                monster.health_bar.take_dmg(current_knight.attack)
-                if monster.health_bar.current_hp <= 0:
-                    monster.kill()
-                    self.add_points(current_knight.team, monster.points)
-                else:
-                    current_knight.health_bar.take_dmg(monster.attack)
-                    if current_knight.health_bar.current_hp <= 0:
-                        current_knight.kill()
-        for castle in self.list_castles:
-            if castle.position == position_up:
-                castle.health_bar.take_dmg(current_knight.attack)
-
-    def attack_knight_down(self, knights_list, current_knight):
-        position_down = current_knight.position[0], current_knight.position[1] + 1
-        for some_knight in knights_list:
-            if (some_knight.position == position_down and some_knight.team != current_knight.team):
-                some_knight.health_bar.take_dmg(current_knight.attack)
-                if some_knight.health_bar.current_hp == 0:
-                    some_knight.kill()
-                    self.add_points(current_knight.team, 5)
-        for monster in self.list_monsters:
-            if monster.position == position_down:
-                monster.health_bar.take_dmg(current_knight.attack)
-                if monster.health_bar.current_hp <= 0:
-                    monster.kill()
-                    self.add_points(current_knight.team, monster.points)
-                else:
-                    current_knight.health_bar.take_dmg(monster.attack)
-                    if current_knight.health_bar.current_hp <= 0:
-                        current_knight.kill()
-        for castle in self.list_castles:
-            if castle.position == position_down:
-                castle.health_bar.take_dmg(current_knight.attack)
-
-    def handle_turn(self):
-        current_knight = self.knights_queue.dequeue_knight()
-        knights_list = self.list_knights_red + self.list_knights_blue
-        print("next turn " + current_knight.team)
-        knight_pos_x = current_knight.position[0]
-        knight_pos_y = current_knight.position[1]
-        positions = []
-
-        goal_list = self.decision_tree.predict_move(grid=self.map, current_knight=current_knight,
-                                                    monsters=self.list_monsters,
-                                                    opponents=self.list_knights_blue
-                                                    if current_knight.team_alias() == 'k_r' else self.list_knights_red,
-                                                    castle=self.list_castles[0])
-
-        if (len(self.list_knights_blue) == 0 or len(self.list_knights_red) == 0):
-            pygame.quit()
-
-        if len(goal_list) == 0:
-            return
-
-        state = State((knight_pos_y, knight_pos_x), current_knight.direction.name)
-        action_list = a_star(state, self.map, goal_list)
-        print(action_list)
-        print(goal_list)
-
-        if len(action_list) == 0:
-            return
-
-        next_action = action_list.pop(0)
-
-        #if current_knight.health_bar.current_hp != 0:
-        #self.attack_knight(knights_list, positions, current_knight)
-
-        if current_knight.direction.name == UP:
-            self.attack_knight_up(knights_list, current_knight)
-        elif current_knight.direction.name == DOWN:
-            self.attack_knight_down(knights_list, current_knight)
-        elif current_knight.direction.name == RIGHT:
-            self.attack_knight_right(knights_list, current_knight)
-        elif current_knight.direction.name == LEFT:
-            self.attack_knight_left(knights_list, current_knight)
-
-        if next_action == TURN_LEFT:
-            self.logs.enqueue_log(f'AI {current_knight.team}: Obrót w lewo.')
-            current_knight.rotate_left()
-        elif next_action == TURN_RIGHT:
-            self.logs.enqueue_log(f'AI {current_knight.team}: Obrót w prawo.')
-            current_knight.rotate_right()
-        elif next_action == FORWARD:
-            current_knight.step_forward()
-            self.map[knight_pos_y][knight_pos_x] = MAP_ALIASES.get("GRASS")
-
-                # update knight on map
-            if current_knight.direction.name == UP:
-                self.logs.enqueue_log(f'AI {current_knight.team}: Ruch do góry.')
-                self.map[knight_pos_y - 1][knight_pos_x] = current_knight.team_alias()
-            elif current_knight.direction.name == RIGHT:
-                self.logs.enqueue_log(f'AI {current_knight.team}: Ruch w prawo.')
-                self.map[knight_pos_y][knight_pos_x + 1] = current_knight.team_alias()
-            elif current_knight.direction.name == DOWN:
-                self.logs.enqueue_log(f'AI {current_knight.team}: Ruch w dół.')
-                self.map[knight_pos_y + 1][knight_pos_x] = current_knight.team_alias()
-            elif current_knight.direction.name == LEFT:
-                self.logs.enqueue_log(f'AI {current_knight.team}: Ruch w lewo.')
-                self.map[knight_pos_y][knight_pos_x - 1] = current_knight.team_alias()
-
-    def update(self):
-        bg_width = (GRID_CELL_PADDING + GRID_CELL_SIZE) * COLUMNS + BORDER_WIDTH
-        bg_height = (GRID_CELL_PADDING + GRID_CELL_SIZE) * ROWS + BORDER_WIDTH
-        pygame.draw.rect(self.screen, (255, 255, 255), pygame.Rect(5, 5, bg_width, bg_height), 0, BORDER_RADIUS)
-
-        # update and draw the game
-        self.sprites.draw(self.screen)
-        self.sprites.update()
-
-
-

logic/spawner.py

@@ -1,33 +1,36 @@
 import random
 
-from common.constants import COLUMNS, ROWS
+from common.constants import GRID_CELL_PADDING, GRID_CELL_WIDTH, GRID_CELL_HEIGHT
-
 
 class Spawner:
-    def __init__(self, map):
+    def __init__(self, grid, objs_to_spawn_list: list, spawn_area_width=0, spawn_area_height=0, spawn_area_pos_row=0,
-        self.map = map
+                 spawn_area_pos_column=0, spawn_where_possible=False):  # kolumny i wiersze liczymy od 0;
+        self.objs_to_spawn_list = objs_to_spawn_list
+        self.spawn_area_width = spawn_area_width
+        self.spawn_area_height = spawn_area_height
+        self.spawn_area_pos_row = spawn_area_pos_row
+        self.spawn_area_pos_column = spawn_area_pos_column
+        self.grid = grid
+        self.spawn_where_possible = spawn_where_possible
 
-    def __is_free_field(self, field):
+    def spawn(self):
-        return field in ['g', 's', ' ']
+        if self.spawn_where_possible:
+            possible_fields = self.grid.free_fields
+        else:
+            possible_fields = []
+            for field in self.grid.free_fields:
+                if (self.spawn_area_pos_column <= field.column < (self.spawn_area_width + self.spawn_area_pos_column)) \
+                        and (self.spawn_area_pos_row <= field.row < (self.spawn_area_height + self.spawn_area_pos_row)):
+                    possible_fields.append(field)
 
-    def spawn_in_area(self, objects: list, spawn_area_pos_row=0, spawn_area_pos_column=0, spawn_area_width=0,
+        for obj in self.objs_to_spawn_list:
-                      spawn_area_height=0, size=1):
+            ran_index = random.randint(0, len(possible_fields)-1)
-        spawned_objects_count = 0
+            ran_field = possible_fields[ran_index]
-
+            ran_field.busy = True
-        while spawned_objects_count != len(objects):
+            obj.rect = obj.rect.clamp(ran_field)
-            x = random.randint(0, spawn_area_height) + spawn_area_pos_row
+            self.grid.busy_fields.append(ran_field)
-            y = random.randint(0, spawn_area_width) + spawn_area_pos_column
+            if ran_field in self.grid.free_fields:
-            if x < ROWS - 1 and y < COLUMNS - 1 and self.__is_free_field(self.map[x][y]):
+                self.grid.free_fields.remove(ran_field)
-                for i in range(size):
+            if ran_field in possible_fields:
-                    for j in range(size):
+                possible_fields.remove(ran_field)
-                        self.map[x - i][y - j] = objects[spawned_objects_count]
+            obj.update()
-                spawned_objects_count += 1
-
-    def spawn_where_possible(self, objects: list):
-        spawned_objects_count = 0
-        while spawned_objects_count != len(objects):
-            x = random.randint(0, ROWS - 1)
-            y = random.randint(0, COLUMNS - 1)
-            if self.__is_free_field(self.map[x][y]):
-                self.map[x][y] = objects[spawned_objects_count]
-                spawned_objects_count += 1

models/castle.py

@@ -1,22 +1,15 @@
-import random
-
 import pygame.image
 
-from common.helpers import parse_cord
-from logic.health_bar import HealthBar
-
 
 class Castle(pygame.sprite.Sprite):
-    def __init__(self, screen, position, group):
+    images = []
-        super().__init__(group)
-        self._layer = 1
-        self.image = pygame.image.load("./resources/textures/castle.png").convert_alpha()
-        self.image = pygame.transform.scale(self.image, (78, 78))
-        self.position = position
-        position_in_px = (parse_cord(position[0]), parse_cord(position[1]))
-        self.rect = self.image.get_rect(center=position_in_px)
-        self.max_hp = 80
-        self.health_bar = HealthBar(screen, self.rect, current_hp=self.max_hp, max_hp=self.max_hp, calculate_xy=True, calculate_size=True)
 
-    def update(self):
+    def __init__(self):
-        self.health_bar.update()
+        super().__init__()
+
+        self.image = pygame.image.load("./resources/textures/castle.png")
+        self.image = pygame.transform.scale(self.image, (78, 78))
+        self.images.append(self.image)
+        self.rect = self.image.get_rect()
+        castle_list = pygame.sprite.Group()
+        self.health = 80

models/knight.py

@@ -1,83 +1,17 @@
+import pygame.image
 import random
 
-import pygame.image
-
-from common.constants import GRID_CELL_SIZE, Direction
-from common.helpers import parse_cord
-from logic.health_bar import HealthBar
-
-
-def load_knight_textures(team):
-    if team == "blue":
-        random_index = 3
-    else:
-        random_index = 4
-    states = [
-        pygame.image.load(f'resources/textures/knight_{random_index}_up.png').convert_alpha(),  # up = 0
-        pygame.image.load(f'resources/textures/knight_{random_index}_right.png').convert_alpha(),  # right = 1
-        pygame.image.load(f'resources/textures/knight_{random_index}_down.png').convert_alpha(),  # down = 2
-        pygame.image.load(f'resources/textures/knight_{random_index}_left.png').convert_alpha(),  # left = 3
-    ]
-    return states
-
-
 class Knight(pygame.sprite.Sprite):
+    def __init__(self, img):
+        super().__init__()
+        self.images = []
+        self.image = pygame.image.load("./resources/textures/knight.png")
+        self.image = pygame.transform.scale(self.image, (40, 40))
+        self.images.append(self.image)
+        self.rect = self.image.get_rect()
 
-    def __init__(self, screen, position, group, team):
+        self.health = random.randint(7, 12)
-        super().__init__(group)
+        self.attack = random.randint(4, 7)
-
-        self.direction = Direction.DOWN
-        self.states = load_knight_textures(team)
-
-        self.image = self.states[self.direction.value]
-        self.position = position
-        self._layer = 1
-        position_in_px = (parse_cord(position[0]), parse_cord(position[1]))
-        self.rect = self.image.get_rect(topleft=position_in_px)
-
-        self.team = team
-        self.max_hp = random.randint(9, 13)
-        self.attack = random.randint(2, 4)
         self.defense = random.randint(1,4)
         self.points = 1
-        self.health_bar = HealthBar(screen, self.rect, current_hp=self.max_hp, max_hp=self.max_hp, calculate_xy=True, calculate_size=True)
 
-    def rotate_left(self):
-        self.direction = self.direction.left()
-        self.image = self.states[self.direction.value]
-
-    def update(self):
-        self.health_bar.update()
-
-    def rotate_right(self):
-        self.direction = self.direction.right()
-        self.image = self.states[self.direction.value]
-
-    def take_dmg(self, amount):
-        self.health_bar.take_dmg(amount)
-
-    def heal(self, amount):
-        self.health_bar.heal(amount)
-
-    def get_current_hp(self):
-        return self.health_bar.current_hp
-
-    def get_max_hp(self):
-        return self.health_bar.max_hp
-
-    def step_forward(self):
-        if self.direction.name == 'UP':
-            self.position = (self.position[0], self.position[1] - 1)
-            self.rect.y = self.rect.y - GRID_CELL_SIZE - 5
-        elif self.direction.name == 'RIGHT':
-            self.position = (self.position[0] + 1, self.position[1])
-            self.rect.x = self.rect.x + GRID_CELL_SIZE + 5
-        elif self.direction.name == 'DOWN':
-            self.position = (self.position[0], self.position[1] + 1)
-            self.rect.y = self.rect.y + GRID_CELL_SIZE + 5
-        elif self.direction.name == 'LEFT':
-            self.position = (self.position[0] - 1, self.position[1])
-            self.rect.x = self.rect.x - GRID_CELL_SIZE - 5
-
-    def team_alias(self) -> str:
-        return "k_b" if self.team == "blue" else "k_r"

models/monster.py

@@ -1,47 +1,47 @@
-import random
-
 import pygame.image
-
+import random
-from common.helpers import parse_cord
-from logic.health_bar import HealthBar
-
-monster_images = [
-    pygame.image.load("./resources/textures/dragon2.png"),
-    pygame.image.load("./resources/textures/birb.png"),
-    pygame.image.load("./resources/textures/wolfart.png"),
-    pygame.image.load("./resources/textures/goblin.png"),
-]
 
 
 class Monster(pygame.sprite.Sprite):
-    def __init__(self, screen, position, group):
+    monster_images = []
-        super().__init__(group)
+
-        self._layer = 1
+    def __init__(self):
-        self.image = random.choice(monster_images)
+        super().__init__()
-        self.image = pygame.transform.scale(self.image, (40, 40))
+
-        position_in_px = (parse_cord(position[0]), parse_cord(position[1]))
+        self.monster_image1 = pygame.image.load("./resources/textures/dragon2.png")
-        self.rect = self.image.get_rect(topleft=position_in_px)
+        self.monster_image1 = pygame.transform.scale(self.monster_image1, (40, 40))
-        self.position = position
+        self.monster_image2 = pygame.image.load("./resources/textures/birb.png")
-        self.max_hp = random.randrange(15, 20)
+        self.monster_image2 = pygame.transform.scale(self.monster_image2, (40, 40))
-        self.health_bar = HealthBar(screen, self.rect, current_hp=self.max_hp, max_hp=self.max_hp,
+        self.monster_image3 = pygame.image.load("./resources/textures/wolfart.png")
-                                    calculate_xy=True, calculate_size=True)
+        self.monster_image3 = pygame.transform.scale(self.monster_image3, (40, 40))
-        self.attack = random.randrange(4, 6)
+        self.monster_image4 = pygame.image.load("./resources/textures/goblin.png")
-        if self.image == monster_images[0]:
+        self.monster_image4 = pygame.transform.scale(self.monster_image4, (40, 40))
-            self.max_hp = 20
+        self.monster_images.append(self.monster_image1)
-            self.attack = 6
+        self.monster_images.append(self.monster_image2)
+        self.monster_images.append(self.monster_image3)
+        self.monster_images.append(self.monster_image4)
+        #self.images.append(self.image1)
+        self.image = random.choice(self.monster_images)
+        self.rect = self.image.get_rect()
+        monster_list = pygame.sprite.Group()
+
+
+        self.health = random.randrange(15, 25)
+        self.attack = random.randrange(2, 10)
+        if self.image == self.monster_images[0]:
+            self.health = 20
+            self.attack = 9
             self.points = 10
-        elif self.image == monster_images[1]:
+        elif self.image == self.monster_images[1]:
-            self.max_hp = 15
+            self.health = 15
             self.attack = 7
             self.points = 7
-        elif self.image == monster_images[2]:
+        elif self.image == self.monster_images[2]:
-            self.max_hp = 10
+            self.health = 10
             self.attack = 4
             self.points = 4
-        elif self.image == monster_images[3]:
+        elif self.image == self.monster_images[3]:
-            self.max_hp = 7
+            self.health = 7
             self.attack = 2
             self.points = 2
 
-    def update(self):
-        self.health_bar.update()

models/tile.py

@@ -1,13 +0,0 @@
-import pygame
-
-from common.helpers import parse_cord
-
-
-class Tile(pygame.sprite.Sprite):
-    def __init__(self, position, image, group, tile_type=' '):
-        super().__init__(group)
-        self.image = image
-        self._layer = 0
-        position_in_px = (parse_cord(position[0]), parse_cord(position[1]))
-        self.rect = self.image.get_rect(topleft=position_in_px)
-        self.tile_type = tile_type

resources/maps/map_2022_06_02_13_27_18.json

@@ -1 +0,0 @@
-{"map": [[0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1], [0, 0, 0, 0, 3, 3, 0, 0, 1, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 3], [0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 3], [0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 2, 0, 3], [0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2], [0, 0, 3, 3, 3, 0, 0, 0, 3, 3, 3, 3, 0, 2, 2, 2, 0, 0, 0, 0, 0, 7, 2, 0], [0, 0, 0, 6, 0, 0, 0, 2, 2, 2, 0, 5, 5, 0, 2, 0, 0, 2, 2, 2, 2, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 5, 5, 0, 2, 0, 0, 0, 0, 2, 2, 1, 1, 7], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 3, 1, 7], [6, 0, 0, 6, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 1, 1, 0], [6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 3, 3, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3, 0, 1, 1, 7, 0], [0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3, 3, 1, 1, 1, 0], [0, 3, 3, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 1, 0, 0], [0, 3, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 4, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}

resources/maps/map_2022_06_06_14_55_49.json

@@ -1 +0,0 @@
-{"map": [[0, 0, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0], [0, 3, 3, 0, 0, 0, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 3, 3, 0, 0, 0, 2, 0, 0, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 2, 3, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 6, 3, 3, 0, 0, 0, 0, 0, 3, 0, 4, 0, 3, 0, 0, 0, 0, 0, 0, 7, 0, 0], [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 5, 5, 0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 7, 7, 0, 0], [6, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 3, 7, 0, 0, 0], [0, 0, 6, 6, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0], [0, 2, 2, 2, 2, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0], [2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 2, 0, 0, 0, 0, 0, 4, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 3, 3, 3, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}

resources/maps/map_2022_06_06_14_58_11.json

@@ -1 +0,0 @@
-{"map": [[0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 3, 3], [0, 0, 0, 0, 2, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 3, 0], [0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 0, 0, 0, 2, 0], [0, 0, 3, 3, 3, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 2, 0], [0, 0, 3, 0, 3, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 0], [0, 0, 3, 3, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0], [0, 0, 0, 6, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0], [0, 6, 0, 0, 0, 0, 3, 0, 0, 0, 0, 5, 5, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 5, 5, 1, 2, 0, 0, 0, 0, 0, 0, 7, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 4, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0], [0, 0, 3, 3, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 4], [6, 0, 0, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 3, 1, 1, 0, 7, 0, 7, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 1, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 3, 3, 2, 0, 0, 0, 0, 0, 0], [0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 0, 0], [0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}

ui/logs.py

@@ -3,7 +3,7 @@ from queue import Queue
 import pygame
 
 from common.colors import FONT_DARK, ORANGE, WHITE
-from common.constants import COLUMNS, GRID_CELL_PADDING, GRID_CELL_SIZE, BORDER_WIDTH, BORDER_RADIUS
+from common.constants import COLUMNS, GRID_CELL_PADDING, GRID_CELL_WIDTH, BORDER_WIDTH, BORDER_RADIUS
 from common.helpers import draw_text
 
 
@@ -13,7 +13,7 @@ class Logs:
         self.screen = screen
 
     def draw(self):
-        x = (GRID_CELL_PADDING + GRID_CELL_SIZE) * COLUMNS + BORDER_WIDTH + 15
+        x = (GRID_CELL_PADDING + GRID_CELL_WIDTH) * COLUMNS + BORDER_WIDTH + 15
         y = 470
 
         # background

ui/screens/credits.py

@@ -1,31 +1,6 @@
-import pygame
-
 from ui.screens.screen import Screen
-from common.colors import BLACK
+
-from common.helpers import draw_text
 
 class Credits(Screen):
-
     def __init__(self, screen, clock):
         super().__init__('credits', screen, clock)
-
-    def display_screen(self):
-        running = True
-        while running:
-            self.screen.fill((252, 164, 12))
-            draw_text('Twórcy :', BLACK, self.screen, 520, 150)
-            draw_text('Angelika Iskra', BLACK, self.screen, 520, 250)
-            draw_text('Dawid Korzępa', BLACK, self.screen, 520, 300)
-            draw_text('Juliusz Sadowski', BLACK, self.screen, 520, 350)
-            draw_text('Aleksandra Muczyńska', BLACK, self.screen, 520, 400)
-            draw_text('Jerzy Tomaszewski', BLACK, self.screen, 520, 450)
-            draw_text('Mateusz Konofał', BLACK, self.screen, 520, 500)
-            for event in pygame.event.get():
-                if event.type == pygame.QUIT:
-                    running = False
-                if event.type == pygame.KEYDOWN:
-                    if event.key == pygame.K_ESCAPE:
-                        running = False
-            pygame.display.update()
-            self.clock.tick(60)
-

ui/screens/main_menu.py

@@ -1,66 +0,0 @@
-import sys
-
-import pygame
-
-from common.colors import WHITE, FONT_DARK
-from common.helpers import draw_text
-from ui.screens.credits import Credits
-from ui.screens.options import Options
-from ui.screens.screen import Screen
-
-
-class MainMenu(Screen):
-    def __init__(self, screen, clock, bg, btn_play_action, btn_options_action, btn_credits_action):
-        super().__init__('main_menu', screen, clock)
-        self.click = False
-        self.bg = bg
-        self.btn_play_action = btn_play_action
-        self.btn_options_action = btn_options_action
-        self.btn_credits_action = btn_credits_action
-
-    def display_screen(self):
-        running = True
-        while running:
-            self.screen.blit(self.bg, (0, 0))
-
-            pygame.draw.rect(self.screen, (255, 255, 255), pygame.Rect(800, 100, 400, 500), 0, 5)
-            draw_text('MAIN MENU', FONT_DARK, self.screen, 850, 150, 30, True)
-
-            mx, my = pygame.mouse.get_pos()
-
-            button_1 = pygame.Rect(850, 250, 300, 50)
-            button_2 = pygame.Rect(850, 350, 300, 50)
-            button_3 = pygame.Rect(850, 450, 300, 50)
-            if button_1.collidepoint((mx, my)):
-                if self.click:
-                    self.btn_play_action()
-            if button_2.collidepoint((mx, my)):
-                if self.click:
-                    self.btn_options_action()
-            if button_3.collidepoint((mx, my)):
-                if self.click:
-                    self.btn_credits_action()
-            pygame.draw.rect(self.screen, (0, 191, 255), button_1, 0, 4)
-            draw_text('PLAY', WHITE, self.screen, 870, 255)
-
-            pygame.draw.rect(self.screen, (0, 191, 255), button_2, 0, 4)
-            draw_text('OPTIONS', WHITE, self.screen, 870, 355)
-
-            pygame.draw.rect(self.screen, (0, 191, 255), button_3, 0, 4)
-            draw_text('CREDITS', WHITE, self.screen, 870, 455)
-
-            self.click = False
-            for event in pygame.event.get():
-                if event.type == pygame.QUIT:
-                    pygame.quit()
-                    sys.exit()
-                if event.type == pygame.KEYDOWN:
-                    if event.key == pygame.K_ESCAPE:
-                        pygame.quit()
-                        sys.exit()
-                if event.type == pygame.MOUSEBUTTONDOWN:
-                    if event.button == 1:
-                        self.click = True
-
-            pygame.display.update()
-            self.clock.tick(60)

ui/stats.py

@@ -1,67 +1,44 @@
 import pygame
-import time
 
-from logic.health_bar import HealthBar
 from common.colors import FONT_DARK, ORANGE, WHITE, RED
-from common.constants import COLUMNS, GRID_CELL_PADDING, GRID_CELL_SIZE, BORDER_WIDTH, BORDER_RADIUS
+from common.constants import COLUMNS, GRID_CELL_PADDING, GRID_CELL_WIDTH, BORDER_WIDTH, BORDER_RADIUS
 from common.helpers import draw_text
 
 
 class Stats:
-    def __init__(self, screen, list_knights_blue, list_knights_red):
+    def __init__(self):
         self.grid = []
-        self.list_knights_blue = list_knights_blue
-        self.list_knights_red = list_knights_red
-        self.screen = screen
-        self.x = (GRID_CELL_PADDING + GRID_CELL_SIZE) * COLUMNS + BORDER_WIDTH + 15
-        self.y = 5
-        self.blue_team_hp_bar = HealthBar(self.screen,
-                                          pygame.Rect(self.x + 30, self.y + 210, 100, 15),
-                                          current_hp=sum([knight.get_current_hp() for knight in self.list_knights_blue]),
-                                          max_hp=sum([knight.get_max_hp() for knight in self.list_knights_blue]))
-        self.red_team_hp_bar = HealthBar(self.screen,
-                                         pygame.Rect(self.x + 210, self.y + 210, 100, 15),
-                                         current_hp=sum([knight.get_current_hp() for knight in self.list_knights_red]),
-                                         max_hp=sum([knight.get_max_hp() for knight in self.list_knights_red]))
-        self.blue_team_points = 0
-        self.red_team_points = 0
 
-    def update(self):
+    def draw(self, screen):
+        x = (GRID_CELL_PADDING + GRID_CELL_WIDTH) * COLUMNS + BORDER_WIDTH + 15
+        y = 5
 
         # background
-        pygame.draw.rect(self.screen, WHITE, pygame.Rect(self.x, self.y, 340, 450), 0, BORDER_RADIUS)
+        pygame.draw.rect(screen, WHITE, pygame.Rect(x, y, 340, 450), 0, BORDER_RADIUS)
 
         # title
-        draw_text('STATS', FONT_DARK, self.screen, self.x + 120, self.y + 10, 36)
+        draw_text('STATS', FONT_DARK, screen, x + 120, y + 10, 36)
-        pygame.draw.rect(self.screen, ORANGE, pygame.Rect(self.x, self.y + 65, 340, 3))
+        pygame.draw.rect(screen, ORANGE, pygame.Rect(x, y + 65, 340, 3))
 
         # shields
         shield_blue = pygame.image.load('./resources/textures/shield_blue.png')
         shield_red = pygame.image.load('./resources/textures/shield_red.png')
-        self.screen.blit(shield_blue, (self.x + 20, self.y + 80))
+        screen.blit(shield_blue, (x + 20, y + 80))
-        self.screen.blit(shield_red, (self.x + 200, self.y + 80))
+        screen.blit(shield_red, (x + 200, y + 80))
-        draw_text('VS', FONT_DARK, self.screen, self.x + 150, self.y + 120, 36)
+        draw_text('VS', FONT_DARK, screen, x + 150, y + 120, 36)
 
         # HP bars
-        self.red_team_hp_bar.take_dmg(self.red_team_hp_bar.current_hp -
+        pygame.draw.rect(screen, RED, pygame.Rect(x + 30, y + 210, 100, 15), 0, 4)
-                                      sum([knight.get_current_hp() for knight in self.list_knights_red]))
+        pygame.draw.rect(screen, RED, pygame.Rect(x + 210, y + 210, 100, 15), 0, 4)
-        self.blue_team_hp_bar.take_dmg(self.blue_team_hp_bar.current_hp -
-                                       sum([knight.get_current_hp() for knight in self.list_knights_blue]))
-        self.red_team_hp_bar.update()
-        self.blue_team_hp_bar.update()
 
         # texts
-        draw_text('Rycerze: ' + str(len(self.list_knights_blue)), FONT_DARK, self.screen, self.x + 35, self.y + 240, 18)  # blue
+        draw_text('Rycerze: 2', FONT_DARK, screen, x + 35, y + 240, 18)
+        draw_text('Fortece: 1', FONT_DARK, screen, x + 35, y + 270, 18)
 
-        draw_text('Rycerze: ' + str(len(self.list_knights_red)), FONT_DARK, self.screen, self.x + 215, self.y + 240, 18)
+        draw_text('Rycerze: 4', FONT_DARK, screen, x + 215, y + 240, 18)
+        draw_text('Fortece: 0', FONT_DARK, screen, x + 215, y + 270, 18)
 
         # points
-        pygame.draw.rect(self.screen, ORANGE, pygame.Rect(self.x, self.y + 390, 340, 3))
+        pygame.draw.rect(screen, ORANGE, pygame.Rect(x, y + 390, 340, 3))
-        draw_text('PUNKTY: ' + str(self.blue_team_points), FONT_DARK, self.screen, self.x + 35, self.y + 408, 18, True)
+        draw_text('PUNKTY: 10', FONT_DARK, screen, x + 35, y + 408, 18, True)
-        draw_text('PUNKTY: ' + str(self.red_team_points), FONT_DARK, self.screen, self.x + 215, self.y + 408, 18, True)
+        draw_text('PUNKTY: 10', FONT_DARK, screen, x + 215, y + 408, 18, True)
-
-    def add_points(self, team, points):
-        if team == "blue":
-            self.blue_team_points += points
-        else:
-            self.red_team_points += points