Merge pull request 'added points in stats;' (#41) from stats_update into master

Reviewed-on: #41

.gitignore

@@ -149,4 +149,5 @@ cython_debug/
 #  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
 #  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/
+.idea/
+/algorithms/neural_network/data/

algorithms/a_star.py

@@ -0,0 +1,189 @@
+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

@@ -0,0 +1,120 @@
+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

@@ -0,0 +1,142 @@
+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

@@ -0,0 +1,29 @@
+# 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

@@ -0,0 +1,166 @@
+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

@@ -0,0 +1,26 @@
+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

@@ -0,0 +1,42 @@
+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

@@ -0,0 +1,81 @@
+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

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

algorithms/neural_network/neural_network.py

@@ -0,0 +1,64 @@
+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

@@ -0,0 +1,125 @@
+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

@@ -0,0 +1,27 @@
+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

@@ -2,5 +2,6 @@ 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

@@ -1,34 +1,96 @@
+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_WIDTH = 36
+GRID_CELL_SIZE = 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 = 5
+KNIGHTS_SPAWN_HEIGHT = 7
-KNIGHTS_SPAWN_FIRST_ROW = 8
+LEFT_KNIGHTS_SPAWN_FIRST_ROW = 6
-KNIGHTS_SPAWN_FIRST_COL = 0
+LEFT_KNIGHTS_SPAWN_FIRST_COL = 0
-MONSTER_SPAWN_WIDTH = 19
+RIGHT_KNIGHTS_SPAWN_FIRST_ROW = 6
-MONSTER_SPAWN_HEIGHT = 15
+RIGHT_KNIGHTS_SPAWN_FIRST_COL = 20
-MONSTER_SPAWN_FIRST_COL = 4
+
-MONSTER_SPAWN_FIRST_ROW = 0
 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

@@ -1,5 +1,22 @@
+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:
@@ -10,3 +27,93 @@ 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

@@ -0,0 +1,302 @@
+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
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+5;23;43;2;5;6;11;10;75;15;2;0;12;11;4;opp4
+17;39;8;7;41;14;16;7;45;8;1;2;2;2;8;opp1
+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

@@ -0,0 +1,78 @@
+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

@@ -0,0 +1,128 @@
+import unittest
+
+from logic.knights_queue import KnightsQueue
+from models.knight import Knight
+
+
+class KnightsQueueTest(unittest.TestCase):
+    def test_should_skip_dead_knights(self):
+        knight1 = Knight(None)
+        knight1.max_hp = 0
+
+        knight2 = Knight(None)
+        knight2.max_hp = 0
+
+        knight3 = Knight(None)
+        knight3.max_hp = 1
+
+        knight4 = Knight(None)
+        knight4.max_hp = 0
+
+        knight5 = Knight(None)
+        knight5.max_hp = 0
+
+        knight6 = Knight(None)
+        knight6.max_hp = 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(res2.max_hp, 1)
+
+    def test_should_return_first_alive_knight(self):
+        knight1 = Knight(None)
+        knight1.max_hp = 222
+
+        knight2 = Knight(None)
+        knight2.max_hp = -1
+
+        knight3 = Knight(None)
+        knight3.max_hp = 1
+
+        knights_queue = KnightsQueue([knight1, knight2], [knight3])
+
+        res1 = knights_queue.dequeue_knight()
+        res2 = knights_queue.dequeue_knight()
+        res3 = knights_queue.dequeue_knight()
+        res4 = knights_queue.dequeue_knight()
+
+        self.assertEqual(res1, res3)
+        self.assertEqual(res2, res4)
+
+    def test_should_raise_when_knight_died_and_whole_team_dead(self):
+        with self.assertRaises(Exception):
+            knight1 = Knight(None)
+            knight1.max_hp = 222
+            knight2 = Knight(None)
+            knight2.max_hp = 1
+
+            knights_queue = KnightsQueue([knight1], [knight2])
+            knights_queue.dequeue_knight()
+            knights_queue.dequeue_knight()
+            knight2.max_hp = -2
+            knights_queue.dequeue_knight()
+            knights_queue.dequeue_knight()
+
+    def test_should_make_valid_next_turn(self):
+        knight1 = Knight(None)
+        knight1.max_hp = 222
+        knight2 = Knight(None)
+        knight2.max_hp = 1
+
+        knights_queue = KnightsQueue([knight1], [knight2])
+        previous_turn = knights_queue.team_idx_turn
+        knights_queue.dequeue_knight()
+        current_turn = knights_queue.team_idx_turn
+
+        self.assertNotEqual(previous_turn, current_turn)
+
+    def test_should_raise_when_team_has_dead_knights(self):
+        with self.assertRaises(Exception):
+            knight1 = Knight(None)
+            knight1.max_hp = 0
+            knight2 = Knight(None)
+            knight2.max_hp = -1
+            knight3 = Knight(None)
+            knight3.max_hp = -2
+            knight4 = Knight(None)
+            knight4.max_hp = 20
+
+            knights_queue = KnightsQueue([knight1, knight2, knight3], [knight4])
+
+            knights_queue.dequeue_knight()
+            knights_queue.dequeue_knight()
+
+    def test_should_return_knight_from_any_team_and_add_to_queue_again(self):
+        knight1 = Knight(None)
+        knight1.max_hp = 10
+        knight2 = Knight(None)
+        knight2.max_hp = 20
+        knights_queue = KnightsQueue([knight1], [knight2])
+
+        result1 = knights_queue.dequeue_knight()
+        result2 = knights_queue.dequeue_knight()
+        result3 = knights_queue.dequeue_knight()
+
+        self.assertIsNotNone(result1)
+        self.assertIsNotNone(result2)
+        self.assertIsNotNone(result3)
+        self.assertTrue(result1.max_hp == result3.max_hp)
+
+    def test_should_raise_when_only_one_team_alive(self):
+        with self.assertRaises(Exception):
+            knight = Knight(None)
+            knight.max_hp = 21
+            knights_queue = KnightsQueue([knight], [])
+            knights_queue.dequeue_knight()
+
+    def test_should_raise_when_no_team_alive(self):
+        with self.assertRaises(Exception):
+            knights_queue = KnightsQueue([], [])
+            knights_queue.dequeue_knight()
+
+
+if __name__ == '__main__':
+    unittest.main()

logic/exceptions.py

@@ -0,0 +1,2 @@
+class FieldNotWalkable(Exception):
+    pass

logic/field.py

@@ -1,4 +0,0 @@
-class Field:
-    def __init__(self, texture_path, converted_texture):
-        self.texture_path = texture_path
-        self.converted_texture = converted_texture

logic/game.py

@@ -2,18 +2,15 @@ import sys
 
 import pygame
 
-from common.colors import FONT_DARK, WHITE
 from common.constants import *
-from common.helpers import draw_text
+from common.helpers import print_numbers
-from models.castle import Castle
+from logic.level import Level
-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 .grid import Grid
+from logic.health_bar import HealthBar
-from .spawner import Spawner
 
 
 class Game:
@@ -23,99 +20,35 @@ 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 = []
+        self.clock = pygame.time.Clock()
-        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):
-        while True:
+        menu = MainMenu(self.screen, self.clock, self.bg,
-            self.screen.blit(self.bg, (0, 0))
+                        self.game,
-
+                        self.screens['options'].display_screen,
-            pygame.draw.rect(self.screen, (255, 255, 255), pygame.Rect(800, 100, 400, 500), 0, 5)
+                        self.screens['credits'].display_screen)
-            draw_text('MAIN MENU', FONT_DARK, self.screen, 850, 150, 30, True)
+        menu.display_screen()
-
-            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()
-
-
-        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)
-
-        spawn_left_team = Spawner(grid, knights_left, width=KNIGHTS_SPAWN_WIDTH, height=KNIGHTS_SPAWN_HEIGHT,
-                                  pos_row=KNIGHTS_SPAWN_FIRST_ROW, pos_column=KNIGHTS_SPAWN_FIRST_COL)
-        spawn_right_team = Spawner(grid, knights_right, width=KNIGHTS_SPAWN_WIDTH, height=KNIGHTS_SPAWN_HEIGHT,
-                                   pos_row=KNIGHTS_SPAWN_FIRST_ROW,
-                                   pos_column=COLUMNS - KNIGHTS_SPAWN_WIDTH - 1)  # - 1 to avoid list index out of range
-
-        spawn_left_team.spawn()
-        spawn_right_team.spawn()
-
-        spawned_monsters = self.generate_monster(monsters_sprite_group)
-        monster_spawn = Spawner(grid, spawned_monsters, width=MONSTER_SPAWN_WIDTH, height=MONSTER_SPAWN_HEIGHT,
-                                pos_row=MONSTER_SPAWN_FIRST_ROW, pos_column=MONSTER_SPAWN_FIRST_COL)
-
-        monster_spawn.spawn_monsters()
-
-        spawned_castle = self.generate_castle(castle_sprite_group)
-        castle_spawn = Spawner(grid, [spawned_castle], width=CASTLE_SPAWN_WIDTH, height=CASTLE_SPAWN_HEIGHT,
-                               pos_row=CASTLE_SPAWN_FIRST_ROW, pos_column=CASTLE_SPAWN_FIRST_COL)
-
-        castle_spawn.spawn()
-
         while running:
             self.screen.blit(self.bg, (0, 0))
 
@@ -126,37 +59,18 @@ class Game:
                 if event.type == pygame.KEYDOWN:
                     if event.key == pygame.K_ESCAPE:
                         running = False
+                    if event.key == pygame.K_n:
+                        print_numbers_flag = not print_numbers_flag
 
-            grid.draw(self.screen)
+                if event.type == NEXT_TURN:  # is called every 'TURN_INTERVAL' milliseconds
-            stats.draw(self.screen)
+                    level.handle_turn()
-            logs.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

@@ -1,37 +0,0 @@
-import random
-
-import pygame
-
-from common.constants import ROWS, COLUMNS, GRID_CELL_PADDING, GRID_CELL_WIDTH, GRID_CELL_HEIGHT, BORDER_WIDTH, \
-    BORDER_RADIUS
-from .field import Field
-
-
-class Grid:
-    def __init__(self, textures):
-        self.textures = textures
-        self.grid = []
-        for row in range(ROWS):
-            self.grid.append([])
-            for _ in range(COLUMNS):
-                texture_path, converted_texture = self.get_random_texture()
-                field = Field(texture_path, converted_texture)
-                self.grid[row].append(field)
-
-    def get_random_texture(self):
-        texture_index = random.randint(0, len(self.textures) - 1)
-        return self.textures[texture_index]
-
-    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 row in range(ROWS):
-            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]
-                image = self.grid[row][column].converted_texture
-                screen.blit(pygame.transform.scale(image, (GRID_CELL_WIDTH, GRID_CELL_HEIGHT)), box_rect)

logic/health_bar.py

@@ -0,0 +1,59 @@
+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

@@ -0,0 +1,25 @@
+import random
+from collections import deque
+
+
+class KnightsQueue:
+    def __init__(self, blue_team, red_team):
+        self.queues = deque(blue_team), deque(red_team)
+        self.team_idx_turn = random.randint(0, 1)
+
+    def dequeue_knight(self):
+        if self.both_teams_alive():
+            knight = self.queues[self.team_idx_turn].popleft()
+            if knight.health_bar.current_hp <= 0:
+                return self.dequeue_knight()
+            else:
+                self.queues[self.team_idx_turn].append(knight)
+                self.next_turn()
+                return knight
+        raise Exception('Game has just ended')
+
+    def both_teams_alive(self):
+        return len(self.queues[0]) > 0 and len(self.queues[1]) > 0
+
+    def next_turn(self):
+        self.team_idx_turn = (self.team_idx_turn + 1) % 2

logic/level.py

@@ -0,0 +1,286 @@
+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

@@ -1,43 +1,33 @@
 import random
 
-from common.constants import GRID_CELL_PADDING, GRID_CELL_WIDTH, GRID_CELL_HEIGHT
+from common.constants import COLUMNS, ROWS
 
 
 class Spawner:
-    def __init__(self, grid, objs_to_spawn_list: list, width, height, pos_row, pos_column):
+    def __init__(self, map):
-        self.objs_to_spawn_list = objs_to_spawn_list
+        self.map = map
-        self.width = width
-        self.height = height
-        self.pos_row = pos_row
-        self.pos_column = pos_column
-        self.grid = grid
 
-    def spawn(self):
+    def __is_free_field(self, field):
-        coords = []
+        return field in ['g', 's', ' ']
-        for row in range(self.pos_row, (self.pos_row + self.width)):
-            for column in range(self.pos_column, (self.pos_column + self.height)):
-                if self.grid.grid[row][column].texture_path != "water.png" and self.grid.grid[row][column].texture_path != "grass_with_tree.jpg":
-                    coords.append([(GRID_CELL_PADDING + GRID_CELL_WIDTH) * column + GRID_CELL_PADDING + 7,
-                                   (GRID_CELL_PADDING + GRID_CELL_HEIGHT) * row + GRID_CELL_PADDING + 7])
 
-        for obj in self.objs_to_spawn_list:
+    def spawn_in_area(self, objects: list, spawn_area_pos_row=0, spawn_area_pos_column=0, spawn_area_width=0,
-            random_tile = random.randint(0, len(coords) - 1)
+                      spawn_area_height=0, size=1):
-            obj.rect.x = coords[random_tile][0]
+        spawned_objects_count = 0
-            obj.rect.y = coords[random_tile][1]
-            coords.pop(random_tile)
-            obj.update()
 
-    def spawn_monsters(self):
+        while spawned_objects_count != len(objects):
-        coords = []
+            x = random.randint(0, spawn_area_height) + spawn_area_pos_row
-        for row in range(self.pos_row, (self.pos_row + self.width)):
+            y = random.randint(0, spawn_area_width) + spawn_area_pos_column
-            for column in range(self.pos_column, (self.pos_column + self.height)):
+            if x < ROWS - 1 and y < COLUMNS - 1 and self.__is_free_field(self.map[x][y]):
-                if self.grid.grid[row][column].texture_path != "water.png" and self.grid.grid[row][column].texture_path != "grass_with_tree.jpg" and not ((10 <=column <=14) and (8 <= row <= 12)):
+                for i in range(size):
-                    coords.append([(GRID_CELL_PADDING + GRID_CELL_WIDTH) * column + GRID_CELL_PADDING + 7,
+                    for j in range(size):
-                                   (GRID_CELL_PADDING + GRID_CELL_HEIGHT) * row + GRID_CELL_PADDING + 7])
+                        self.map[x - i][y - j] = objects[spawned_objects_count]
+                spawned_objects_count += 1
 
-        for obj in self.objs_to_spawn_list:
+    def spawn_where_possible(self, objects: list):
-            random_tile = random.randint(0, len(coords) - 1)
+        spawned_objects_count = 0
-            obj.rect.x = coords[random_tile][0]
+        while spawned_objects_count != len(objects):
-            obj.rect.y = coords[random_tile][1]
+            x = random.randint(0, ROWS - 1)
-            coords.pop(random_tile)
+            y = random.randint(0, COLUMNS - 1)
-            obj.update()
+            if self.__is_free_field(self.map[x][y]):
+                self.map[x][y] = objects[spawned_objects_count]
+                spawned_objects_count += 1

models/castle.py

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

models/knight.py

@@ -1,18 +1,83 @@
-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()
 
-        self.health = random.randint(7, 12)
+    def __init__(self, screen, position, group, team):
-        self.attack = random.randint(4, 7)
+        super().__init__(group)
-        self.defense = random.randint(1,4)
+
+        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)
 
-        knights_list = pygame.sprite.Group()
+    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 pygame.image
 import random
 
+import pygame.image
+
+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):
-    monster_images = []
+    def __init__(self, screen, position, group):
-
+        super().__init__(group)
-    def __init__(self):
+        self._layer = 1
-        super().__init__()
+        self.image = random.choice(monster_images)
-
+        self.image = pygame.transform.scale(self.image, (40, 40))
-        self.monster_image1 = pygame.image.load("./resources/textures/dragon2.png")
+        position_in_px = (parse_cord(position[0]), parse_cord(position[1]))
-        self.monster_image1 = pygame.transform.scale(self.monster_image1, (40, 40))
+        self.rect = self.image.get_rect(topleft=position_in_px)
-        self.monster_image2 = pygame.image.load("./resources/textures/birb.png")
+        self.position = position
-        self.monster_image2 = pygame.transform.scale(self.monster_image2, (40, 40))
+        self.max_hp = random.randrange(15, 20)
-        self.monster_image3 = pygame.image.load("./resources/textures/wolfart.png")
+        self.health_bar = HealthBar(screen, self.rect, current_hp=self.max_hp, max_hp=self.max_hp,
-        self.monster_image3 = pygame.transform.scale(self.monster_image3, (40, 40))
+                                    calculate_xy=True, calculate_size=True)
-        self.monster_image4 = pygame.image.load("./resources/textures/goblin.png")
+        self.attack = random.randrange(4, 6)
-        self.monster_image4 = pygame.transform.scale(self.monster_image4, (40, 40))
+        if self.image == monster_images[0]:
-        self.monster_images.append(self.monster_image1)
+            self.max_hp = 20
-        self.monster_images.append(self.monster_image2)
+            self.attack = 6
-        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 == self.monster_images[1]:
+        elif self.image == monster_images[1]:
-            self.health = 15
+            self.max_hp = 15
             self.attack = 7
             self.points = 7
-        elif self.image == self.monster_images[2]:
+        elif self.image == monster_images[2]:
-            self.health = 10
+            self.max_hp = 10
             self.attack = 4
             self.points = 4
-        elif self.image == self.monster_images[3]:
+        elif self.image == monster_images[3]:
-            self.health = 7
+            self.max_hp = 7
             self.attack = 2
             self.points = 2
 
+    def update(self):
+        self.health_bar.update()

models/tile.py

@@ -0,0 +1,13 @@
+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

@@ -0,0 +1 @@
+{"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

@@ -0,0 +1 @@
+{"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

@@ -0,0 +1 @@
+{"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

@@ -1,25 +1,38 @@
+from queue import Queue
+
 import pygame
 
 from common.colors import FONT_DARK, ORANGE, WHITE
-from common.constants import COLUMNS, GRID_CELL_PADDING, GRID_CELL_WIDTH, BORDER_WIDTH, BORDER_RADIUS
+from common.constants import COLUMNS, GRID_CELL_PADDING, GRID_CELL_SIZE, BORDER_WIDTH, BORDER_RADIUS
 from common.helpers import draw_text
 
 
 class Logs:
-    def __init__(self):
+    def __init__(self, screen):
-        self.grid = []
+        self.log_queue = Queue(maxsize=7)
+        self.screen = screen
 
-    def draw(self, screen):
+    def draw(self):
-        x = (GRID_CELL_PADDING + GRID_CELL_WIDTH) * COLUMNS + BORDER_WIDTH + 15
+        x = (GRID_CELL_PADDING + GRID_CELL_SIZE) * COLUMNS + BORDER_WIDTH + 15
         y = 470
 
         # background
-        pygame.draw.rect(screen, WHITE, pygame.Rect(x, y, 340, 323), 0, BORDER_RADIUS)
+        pygame.draw.rect(self.screen, WHITE, pygame.Rect(x, y, 340, 323), 0, BORDER_RADIUS)
 
         # title
-        draw_text('LOGS', FONT_DARK, screen, x + 120, y + 10, 36)
+        draw_text('LOGS', FONT_DARK, self.screen, x + 120, y + 10, 36)
-        pygame.draw.rect(screen, ORANGE, pygame.Rect(x, y + 65, 340, 3))
+        pygame.draw.rect(self.screen, ORANGE, pygame.Rect(x, y + 65, 340, 3))
 
         # texts
-        draw_text('AI Blue: Zniszczyła fortecę (4, 8).', FONT_DARK, screen, x + 35, y + 90, 16)
+        next_y = y + 90
-        draw_text('AI Red: Zniszczyła fortecę (12, 5).', FONT_DARK, screen, x + 35, y + 120, 16)
+        i = 0
+        start = len(self.log_queue.queue) - 1
+        for idx in range(start, -1, -1):
+            draw_text(self.log_queue.queue[idx], FONT_DARK, self.screen, x + 35, next_y + i * 30, 16)
+            i = i + 1
+
+    def enqueue_log(self, text):
+        if self.log_queue.full():
+            self.log_queue.get()
+        self.log_queue.put(text)
+        self.draw()

ui/screens/credits.py

@@ -1,6 +1,31 @@
-from ui.screens.screen import Screen
+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

@@ -0,0 +1,66 @@
+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

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