main (#1)

Reviewed-on: #1
Co-authored-by: Daniel Dolezal <d.dolezal97@protonmail.com>
Co-committed-by: Daniel Dolezal <d.dolezal97@protonmail.com>

snakes/MasterSnake.py

@@ -4,6 +4,13 @@ class MasterSnake(TemplateSnake):
     def __init__(self):
         super().__init__()
         self.name = "MasterSnake"
+        self.disabled_find_near_by_food = True
+
+    def is_food_nearby(self, head, food_positions):
+        for food in food_positions:
+            if abs(head['x'] - food['x']) <= 1 and abs(head['y'] - food['y']) <= 1:
+                return True
+        return False
 
     def avoid_snake_body(self, snakes, board_width, board_height):
         # Konvertiere die Körperpositionen der Schlangen in ein Set von Tupeln für schnellen Zugriff
@@ -37,22 +44,38 @@ class MasterSnake(TemplateSnake):
 
         # Finde die nächstgelegene Nahrungsquelle, wenn Nahrung vorhanden ist
         try:
-            path_to_food = self.find_path_to_food(game_data)
-            if path_to_food:
-                # Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
-                move = self.move_towards_food(my_head, path_to_food[0], safe_positions)
+            if self.is_food_nearby(my_head, game_data['board']['food']) or self.disabled_find_near_by_food:
+                path_to_food = self.find_path_to_food(game_data)
+                if path_to_food:
+                    # Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
+                    move = self.move_towards(my_head, path_to_food[0], safe_positions)
+                    self.add_to_history({"my_head": my_head, "path_to_food": path_to_food, "move": move})
+                else:
+                    # Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine Nahrung vorhanden ist
+                    move = self.find_direction(my_head, safe_positions)
+                    self.add_to_history({"my_head": my_head, "move": move})
             else:
-                # Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine Nahrung vorhanden ist
+                # Wenn keine Nahrung in der Nähe ist, bewege dich in eine Richtung, die dich nahe an deinem eigenen Körper hält
                 move = self.find_direction(my_head, safe_positions)
+                self.add_to_history({"my_head": my_head, "move": move})
         except ValueError:
             move = self.find_direction(my_head, safe_positions)
+            self.add_to_history({"my_head": my_head, "move": move})
+
+        # Finde den größten sicheren Bereich
+        max_area_start, max_area = self.flood_fill(my_head, safe_positions)
+        # Wenn der Schwanz der Schlange im größten sicheren Bereich liegt, bewege dich in Richtung des Schwanzes
+        my_tail = (my_snake['body'][-1]['x'], my_snake['body'][-1]['y'])  # Convert to tuple
+        if my_tail in max_area:
+            move = self.move_towards(my_head, my_tail, safe_positions)
 
         # Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
-        move = self.avoid_dead_ends(my_head, move, safe_positions, board_width, board_height, snakes)
+        move = self.avoid_dead_ends(my_head, move, safe_positions, snakes)
+        self.add_to_history({"my_head": my_head, "move": move})
 
         return move
 
-    def move_towards_food(self, head, food, safe_positions):
+    def move_towards(self, head, target, safe_positions):
         directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
         best_direction = None
         min_distance = float('inf')
@@ -62,7 +85,7 @@ class MasterSnake(TemplateSnake):
         for direction, (dx, dy) in directions.items():
             next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
             if next_position in safe_positions:
-                distance = abs(food[0] - next_position['x']) + abs(food[1] - next_position['y'])
+                distance = abs(target[0] - next_position['x']) + abs(target[1] - next_position['y'])
                 distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
                 if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
                     best_direction = direction
@@ -150,16 +173,21 @@ class MasterSnake(TemplateSnake):
                 return direction
         return "up"  # Standardbewegung, falls keine sichere Position gefunden wird
 
-    def avoid_dead_ends(self, head, move, safe_positions, board_width, board_height, snakes):
+    def avoid_self_collision(self, future_head, body_positions):
+        # Überprüft, ob die zukünftige Kopfposition im Körper der Schlange liegt
+        return (future_head['x'], future_head['y']) not in body_positions
+
+    def avoid_dead_ends(self, head, move, safe_positions, snakes):
         directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
         dx, dy = directions[move]
         future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
+        body_positions = set((part['x'], part['y']) for part in snakes[0]['body'])
 
-        if not self.is_future_move_safe(future_head, safe_positions, board_width, board_height, snakes):
+        if not self.is_future_move_safe(future_head, safe_positions, snakes) or not self.avoid_self_collision(future_head, body_positions):
             for alternative_move in directions.keys():
                 dx, dy = directions[alternative_move]
                 alternative_future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
-                if self.is_future_move_safe(alternative_future_head, safe_positions, board_width, board_height, snakes):
+                if self.is_future_move_safe(alternative_future_head, safe_positions, snakes) and self.avoid_self_collision(alternative_future_head, body_positions):
                     return alternative_move
         return move
 
@@ -171,7 +199,7 @@ class MasterSnake(TemplateSnake):
                 future_body_positions.add((part['x'], part['y']))
         return future_body_positions
 
-    def is_future_move_safe(self, future_head, safe_positions, board_width, board_height, snakes):
+    def is_future_move_safe(self, future_head, safe_positions, snakes):
         # Simuliere die Bewegung der Schlange und aktualisiere die Positionen des eigenen Körpers
         future_body_positions = self.simulate_snake_movement(snakes)
         # Konvertiere safe_positions in ein Set von Tupeln für den Flood Fill Algorithmus
@@ -181,5 +209,38 @@ class MasterSnake(TemplateSnake):
         # Füge die zukünftige Kopfposition hinzu, um sie als Startpunkt zu verwenden
         safe_positions_set.add((future_head['x'], future_head['y']))
         # Berechne die Anzahl der erreichbaren sicheren Positionen von der zukünftigen Kopfposition aus
+        reachable_positions = self.flood_fill((future_head['x'], future_head['y']), safe_positions_set)
         # Entscheide, ob die Bewegung sicher ist, basierend auf der Anzahl der erreichbaren Positionen
-        return safe_positions_set  # oder wähle einen anderen Schwellenwert
+
+        fill_bool = len(reachable_positions) > len(safe_positions_set) * 0.25
+        if fill_bool:
+            return fill_bool
+
+        return len(safe_positions_set) >= len(snakes[0]['body'])
+
+    def flood_fill(self, start, safe_positions):
+        stack = [start]
+        visited = set()
+        max_area = 0
+        max_area_start = None
+
+        while stack:
+            position = stack.pop()
+            if isinstance(position, dict):
+                position = tuple(position.values())
+            else:
+                position = tuple(position)
+
+            if position not in visited:
+                visited.add(position)
+                for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:  # links, rechts, oben, unten
+                    next_position = tuple([position[0] + dx, position[1] + dy])
+                    if next_position in safe_positions:
+                        stack.append(next_position)
+
+                # Überprüfe, ob der aktuelle Bereich größer ist als der bisher größte Bereich
+                if len(visited) > max_area:
+                    max_area = len(visited)
+                    max_area_start = position
+
+        return max_area_start, visited

snakes/MasterSnake_FoodBySpace.py

@@ -0,0 +1,256 @@
+from snakes.TemplateSnake import TemplateSnake
+
+class MasterSnake(TemplateSnake):
+    def __init__(self):
+        super().__init__()
+        self.name = "MasterSnake"
+        self.history_head = []
+
+    def avoid_snake_body(self, snakes, board_width, board_height):
+        # Konvertiere die Körperpositionen der Schlangen in ein Set von Tupeln für schnellen Zugriff
+        body_positions = set()
+        for snake in snakes:
+            for part in snake['body']:
+                body_positions.add((part['x'], part['y']))
+
+        # Implementiere die Logik, um Positionen zu finden, die nicht von Schlangenkörpern belegt sind
+        safe_positions = self.find_safe_positions(body_positions, board_width, board_height)
+        return safe_positions
+
+    def find_safe_positions(self, body_positions, board_width, board_height):
+        # Finde sichere Positionen basierend auf den Körperpositionen und der Größe des Spielbretts
+        safe_positions = []
+        for x in range(board_width):  # Nutze die tatsächliche Breite des Spielbretts
+            for y in range(board_height):  # Nutze die tatsächliche Höhe des Spielbretts
+                if (x, y) not in body_positions:
+                    safe_positions.append({'x': x, 'y': y})
+        return safe_positions
+
+    def choose_move(self, game_data):
+        board_width = game_data['board']['width']
+        board_height = game_data['board']['height']
+        snakes = game_data['board']['snakes']
+        my_snake = game_data['you']
+        my_head = my_snake['head']
+
+        # Vermeide Schlangenkörper
+        safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
+
+        # Wähle Nahrung basierend auf verfügbarem Platz
+        try:
+            chosen_food = self.choose_food_based_on_space(game_data)
+            if chosen_food:
+                path_to_food = self.a_star_search(my_head, chosen_food, self.get_obstacles(game_data), board_width, board_height)
+                if path_to_food:
+                    # Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
+                    move = self.move_towards_food(my_head, path_to_food[0], safe_positions)
+                    self.add_to_history({"my_head": my_head, "path_to_food": path_to_food, "move": move})
+                else:
+                    # Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn kein Pfad zur Nahrung vorhanden ist
+                    move = self.find_direction(my_head, safe_positions)
+                    self.add_to_history({"my_head": my_head, "move": move})
+            else:
+                # Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine geeignete Nahrung gefunden wird
+                move = self.find_direction(my_head, safe_positions)
+                self.add_to_history({"my_head": my_head, "move": move})
+        except ValueError:
+            move = self.find_direction(my_head, safe_positions)
+            self.add_to_history({"my_head": my_head, "move": move})
+
+        # Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
+        move = self.avoid_dead_ends_and_circles(my_head, move, safe_positions, board_width, board_height, snakes)
+        self.add_to_history({"my_head": my_head, "move": move})
+        self.add_to_history_head({"my_head": my_head, "move": move})
+
+        return move
+
+    def move_towards_food(self, head, food, safe_positions):
+        directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
+        best_direction = None
+        min_distance = float('inf')
+        min_distance_to_body = float('inf')
+        body_positions = set((pos['x'], pos['y']) for pos in safe_positions[:-1])  # Exclude the head from body positions
+
+        for direction, (dx, dy) in directions.items():
+            next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
+            if next_position in safe_positions:
+                distance = abs(food[0] - next_position['x']) + abs(food[1] - next_position['y'])
+                distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
+                if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
+                    best_direction = direction
+                    min_distance = distance
+                    min_distance_to_body = distance_to_body
+
+        return best_direction if best_direction else "up"  # Default to moving up if no safe direction found
+
+    def find_path_to_food(self, game_data):
+        my_head = game_data['you']['head']
+        food_positions = game_data['board']['food']
+        snakes = game_data['board']['snakes']
+        board_width = game_data['board']['width']
+        board_height = game_data['board']['height']
+        
+        # Exclude own snake's body from obstacles
+        own_snake_body = game_data['you']['body']
+        obstacles = set((part['x'], part['y']) for part in own_snake_body)
+        
+        for snake in snakes:
+            if snake['id'] != game_data['you']['id']:
+                for part in snake['body']:
+                    obstacles.add((part['x'], part['y']))
+        
+        # Choose the closest food source based on the heuristic
+        closest_food = min(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
+        
+        # Use A* to search for a safe path
+        path = self.a_star_search(my_head, closest_food, obstacles, board_width, board_height)
+        return path
+
+    def choose_food_based_on_space(self, game_data):
+        my_head = game_data['you']['head']
+        food_positions = game_data['board']['food']
+        snakes = game_data['board']['snakes']
+        board_width = game_data['board']['width']
+        board_height = game_data['board']['height']
+        my_length = game_data['you']['length']
+
+        # Sortiere die Nahrungsquellen basierend auf ihrer Entfernung
+        sorted_food = sorted(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
+
+        for food in sorted_food:
+            path = self.a_star_search(my_head, food, self.get_obstacles(game_data), board_width, board_height)
+            if path and self.will_fit_in_space(path, my_length, board_width, board_height):
+                return food  # Diese Nahrung ist erreichbar und es gibt genug Platz
+
+        # Wenn keine geeignete Nahrung gefunden wird, gib ein Standard-Nahrungsobjekt zurück oder löse eine Ausnahme aus
+        if food_positions:
+            return food_positions[0]  # Gib das erste Nahrungsobjekt zurück
+        else:
+            raise ValueError("Keine Nahrung gefunden")  # Oder löse eine Ausnahme aus
+
+    def will_fit_in_space(self, path, snake_length, board_width, board_height):
+        # Überprüfe, ob die Länge des Pfades größer oder gleich der Länge der Schlange ist
+        if len(path) >= snake_length:
+            return True
+
+        # Überprüfe, ob es genügend Platz um den Endpunkt des Pfades gibt
+        end_of_path = path[-1]
+        space_count = self.count_space_around(end_of_path, board_width, board_height)
+        return space_count >= snake_length
+
+    def count_space_around(self, position, board_width, board_height):
+        # Zähle die Anzahl der erreichbaren Positionen um einen Punkt herum
+        x, y = position
+        count = 0
+        for dx in [-1, 0, 1]:
+            for dy in [-1, 0, 1]:
+                if (dx != 0 or dy != 0) and 0 <= x + dx < board_width and 0 <= y + dy < board_height:
+                    count += 1
+        return count
+
+    def get_obstacles(self, game_data):
+        # Erstelle ein Set von Hindernissen für die A* Suche
+        obstacles = set()
+        for snake in game_data['board']['snakes']:
+            for part in snake['body']:
+                obstacles.add((part['x'], part['y']))
+        return obstacles
+
+    def a_star_search(self, start, goal, obstacles, board_width, board_height):
+        # Convert snake positions into a set of obstacles
+        # Helper functions
+        def is_position_safe(position):
+            x, y = position
+            return 0 <= x < board_width and 0 <= y < board_height and position not in obstacles
+
+        def get_neighbors(position):
+            x, y = position
+            return [(nx, ny) for nx, ny in [(x-1, y), (x+1, y), (x, y-1), (x, y+1)] if is_position_safe((nx, ny))]
+
+        def heuristic(position, goal):
+            return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
+
+        # Initialize start and goal positions
+        start = (start['x'], start['y'])
+        goal = (goal['x'], goal['y'])
+
+        # Initialize the open and closed list
+        open_set = set([start])
+        came_from = {}
+        g_score = {start: 0}
+        f_score = {start: heuristic(start, goal)}
+
+        while open_set:
+            current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
+            if current == goal:
+                # Reconstruct the path
+                path = []
+                while current in came_from:
+                    path.append(current)
+                    current = came_from[current]
+                path.reverse()
+                return path  # Return the path as a list of tuples
+
+            open_set.remove(current)
+            for neighbor in get_neighbors(current):
+                tentative_g_score = g_score[current] + 1  # Distance between neighbors is always 1
+                if tentative_g_score < g_score.get(neighbor, float('inf')):
+                    came_from[neighbor] = current
+                    g_score[neighbor] = tentative_g_score
+                    f_score[neighbor] = g_score[neighbor] + heuristic(neighbor, goal)
+                    if neighbor not in open_set:
+                        open_set.add(neighbor)
+
+        return None  # Kein Pfad gefunden
+
+    def find_direction(self, head, safe_positions):
+        # Beispielhafte Logik zur Auswahl einer Bewegungsrichtung
+        directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
+        for direction, (dx, dy) in directions.items():
+            next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
+            if next_position in safe_positions:
+                return direction
+        return "up"  # Standardbewegung, falls keine sichere Position gefunden wird
+
+    def is_in_history(self, future_head):
+        # Überprüfe, ob die zukünftige Kopfposition in den letzten N Bewegungen vorkommt
+        return any(future_head == move_data["my_head"] for move_data in self.history_head[-10:])
+
+    def avoid_dead_ends_and_circles(self, head, move, safe_positions, board_width, board_height, snakes):
+        directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
+        dx, dy = directions[move]
+        future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
+
+        if not self.is_future_move_safe(future_head, safe_positions, board_width, board_height, snakes) or self.is_in_history(future_head):
+            for alternative_move in directions.keys():
+                dx, dy = directions[alternative_move]
+                alternative_future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
+                if self.is_future_move_safe(alternative_future_head, safe_positions, board_width, board_height, snakes) and not self.is_in_history(alternative_future_head):
+                    return alternative_move
+        return move
+
+    def add_to_history_head(self, move_data):
+        # Füge die aktuelle Kopfposition zur Historie hinzu und behalte nur die letzten 10 Positionen
+        self.history_head.append(move_data)
+        self.history_head = self.history_head[-10:]
+
+    def simulate_snake_movement(self, snakes):
+        future_body_positions = set()
+        for snake in snakes:
+            # Beachte, dass dies nur ein Beispiel ist und angepasst werden muss, um deine spezifische Spiellogik zu berücksichtigen
+            for part in snake['body'][:-1]:  # Ignoriere den letzten Teil des Körpers, da er sich bewegt
+                future_body_positions.add((part['x'], part['y']))
+        return future_body_positions
+
+    def is_future_move_safe(self, future_head, safe_positions, board_width, board_height, snakes):
+        # Simuliere die Bewegung der Schlange und aktualisiere die Positionen des eigenen Körpers
+        future_body_positions = self.simulate_snake_movement(snakes)
+        # Konvertiere safe_positions in ein Set von Tupeln für den Flood Fill Algorithmus
+        safe_positions_set = set((pos['x'], pos['y']) for pos in safe_positions)
+        # Entferne die zukünftigen Körperpositionen aus den sicheren Positionen
+        safe_positions_set = safe_positions_set - future_body_positions
+        # Füge die zukünftige Kopfposition hinzu, um sie als Startpunkt zu verwenden
+        safe_positions_set.add((future_head['x'], future_head['y']))
+        # Berechne die Anzahl der erreichbaren sicheren Positionen von der zukünftigen Kopfposition aus
+        # Entscheide, ob die Bewegung sicher ist, basierend auf der Anzahl der erreichbaren Positionen
+        return safe_positions_set  # oder wähle einen anderen Schwellenwert

snakes/TemplateSnake.py

@@ -10,3 +10,6 @@ class TemplateSnake:
 
   def get_history(self):
     return self.history
+
+  def choose_move(self, game_data:dict):
+    pass