feat: update field generation and load layouts in main program

.gitignore

@@ -1,3 +1,4 @@
 __pycache__/
 .DS_Store
 .env
+src/field

README.md

@@ -37,9 +37,12 @@ Uruchom środowisko używając komend:
 
 ```
 cd src
+python generate_field.py
 python main.py
 ```
 
+Skrypt `generate_field.py` musi zostać przy pierwszym uruchomieniu, aby wygenerować pole. Kolejne wykonania skryptu nie są wymagane.
+
 ## 🧑‍🌾 Członkowie grupy
 
 - Wojciech Kubicki (483780)

src/field.py

@@ -1,13 +1,16 @@
 import pygame
 from tile import Tile
 from tractor import Tractor
+from ast import literal_eval
 
 class Field:
     def __init__(self):
         self.tiles = pygame.sprite.Group()
-        # TODO: enable resizing field grid from 16x16 to any size
-        for x in range(256):
-            self.tiles.add(Tile(x, self))
+        with open('./field', 'r', encoding='UTF-8') as file:
+            content = file.read()
+        tiles = literal_eval(content)
+        for x in range(len(tiles)):
+            self.tiles.add(Tile(x, self, tiles[x]))
         self.tractor = Tractor(self)
 
 

src/generate_field.py

@@ -1,6 +1,7 @@
 from random import randint, choices, random
 from kb import tractor_kb, multi_sasiedzi
 import pytholog as pl
+from numpy.random import choice as npchoice
 
 
 def score_field(field):
@@ -17,33 +18,32 @@ def score_field(field):
         if index % 16 != 0 and field[index-1] != 'water':
             neighbours.append(field[index-1])
 
-        score += multi_sasiedzi(field[index], neighbours)[0]["Mul"]
+        mod = multi_sasiedzi(field[index], neighbours)[0]["Mul"]
+        if mod > 10:
+            print(mod, '= multi(', field[index], ', ', neighbours, ')')
+        score += mod
 
+    score = score / 256
     return score
 
 
 def choose_parents(population):
-    weights = [x[0] for x in population]
+    total_weights = sum(entity[0] for entity in population)
 
-    weights_sum = 0
-    for weight in weights:
-        weights_sum += weight
+    weights = [entity[0] / total_weights for entity in population]
 
-    weights = [weight/weights_sum for weight in weights]
+    selection = npchoice(len(population), size=2, replace=False, p=weights)
 
-    mom = choices(population, cum_weights=weights, k=1)[0]
-    remaining_elements = [el for el in population if el != mom]
-    remaining_weights = [weights[population.index(el)] for el in remaining_elements]
-    dad = choices(remaining_elements, weights=remaining_weights, k=1)[0]
+    parents = [population[i] for i in selection]
 
-    return mom, dad
+    return parents[0], parents[1]
 
 
 def breed_and_mutate(mom, dad):
     crossover_point = randint(1, len(mom[1]) - 2)
     offspring = mom[1][:crossover_point] + dad[1][crossover_point:]
     if len(offspring) != len(mom):
-        ValueError("offspring lenght is not equal to mom length")
+        ValueError("offspring length is not equal to mom length")
 
     if random() < 0.1:
         mutation_index = randint(0, len(offspring) - 1)
@@ -57,6 +57,7 @@ def breed_and_mutate(mom, dad):
         offspring[mutation_index] = mutation
 
     offspring_score = score_field(offspring)
+    # print('offspring score', offspring_score, 'for parents', mom[0], 'and', dad[0])
 
     return [offspring_score, offspring]
 
@@ -73,9 +74,10 @@ def genetic_algorithm(population, iterations):
     for entity in population:
         entity[0] = score_field(entity[1])
 
-    for _ in range(iterations):
+    for iteration in range(iterations):
         population.sort(key=lambda x: x[0], reverse=True)
-        population = population[:5]
+        print('\n=====\n\n💪 Best individual in iteration', iteration, 'has a score of', population[0][0])
+        population = population[:population_size//2]
         new_offspring = []
 
         while len(population) + len(new_offspring) < population_size:
@@ -88,36 +90,27 @@ def genetic_algorithm(population, iterations):
     return population[0]
 
 
-vegetables = [x['Nazwa_warzywa'] for x in tractor_kb.query(pl.Expr("warzywo(Nazwa_warzywa)"))]
-# water tiles locations
-# _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
-# _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
-# _ _ X X _ _ _ _ _ _ X X X _ _ _
-# _ X X X _ _ _ _ _ X X X _ _ _ _
-# _ _ X _ _ _ _ _ _ _ _ _ _ _ _ _
-# _ _ X _ _ _ _ X X _ X X _ _ _ _
-# _ _ _ _ _ _ X X X X X X _ _ _ _
-# _ _ _ _ _ _ X X _ _ _ _ _ _ _ _
-# _ _ _ _ _ _ _ X X _ _ _ _ _ _ _
-# _ _ _ _ X _ _ _ _ _ _ _ _ _ _ _
-# _ _ _ _ X X _ _ _ _ _ _ _ _ _ _
-# _ _ _ _ X _ _ _ _ _ X _ _ _ _ _
-# _ _ _ _ _ _ _ _ X X X X _ _ _ _
-# _ _ _ X _ _ _ _ _ X X X _ _ _ _
-# _ X _ _ _ _ _ _ _ _ _ _ _ _ _ _
-# _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
-water_tile_indexes = [37, 38, 45, 46, 47, 53, 54, 55, 61, 62, 63, 71, 88, 93, 94, 96, 97, 109, 110, 111, 112, 113, 114, 126, 127, 144, 145, 158, 175, 176, 192, 198, 213, 214, 215, 216, 225, 231, 232, 233, 240]
 population = []
+# each field has unmutable locations of water and grass tiles
+water_tile_indexes = [1, 2, 3, 34, 37, 44, 45, 53, 60, 61, 69, 81, 82, 83, 84, 119, 120, 121, 136, 152, 187, 194, 202, 203, 204, 210, 219, 226, 227, 228]
+grass_tile_indexes = [0, 39, 40, 56, 71, 72, 73, 86, 88, 114, 115, 130, 146, 147, 163, 164, 166, 167, 180, 181, 182, 231, 232, 233]
+vegetables = [x['Nazwa_warzywa'] for x in tractor_kb.query(pl.Expr("warzywo(Nazwa_warzywa)"))]
 
-for _ in range(10):
+for _ in range(100):
     field = [vegetables[randint(0, 24)] for _ in range(256)]
     for index in water_tile_indexes:
         field[index] = "water"
+    for index in grass_tile_indexes:
+        field[index] = "grass"
+
     # entities of the population are stored with two properties
     # the first being the average score of the field
     # and the second being the layout of the field 
     population.append([0, field])
 
-best = genetic_algorithm(population, 10)
-print('final field layout', best[1])
-print('final field multiplier score', best[0])
+best = genetic_algorithm(population, 20)
+print('\n=====\n\nfinal field multiplier score is', best[0])
+with open('field', 'w', encoding='utf-8') as file:
+    file.write(str(best[1]))
+file.close
+print('final field layout saved to file "field" in the current working directory\n')

src/kb.py

@@ -370,7 +370,7 @@ tractor_kb([
     "przeszkadza(burak, szpinak, 0.85)",
     "przeszkadza(burak, ziemniak, 0.85)",
     "przeszkadza(cebula, fasola, 0.80)",
-    "przeszkadza(cebula, groch, 85)",
+    "przeszkadza(cebula, groch, 0.85)",
     "przeszkadza(cebula, kalafior, 0.70)",
     "przeszkadza(cebula, kapusta, 0.75)",
     "przeszkadza(cebula, marchew, 0.85)",

src/tile.py

@@ -7,35 +7,22 @@ from config import TILE_SIZE, FREE_TILES
 
 class Tile(pygame.sprite.Sprite):
 
-    def __init__(self, id, field):
+    def __init__(self, id, field, tile_type):
         super().__init__()
         self.id = id
         x = id%16
         y = id//16
 
         self.field = field
-
-        # temporary solution to have vegetables act as obstacles
-        if random.randint(1, 10) % FREE_TILES == 0:
-            vegetables = tractor_kb.query(pl.Expr("warzywo(Nazwa_warzywa)"))
-            random_vegetable = vegetables[random.randint(0, len(vegetables)-1)]['Nazwa_warzywa']
-
-            if random_vegetable in {'cebula','pietruszka','bób', 'dynia','ziemniak'}:
-                random_vegetable = 'marchew'
-
-            self.set_type(random_vegetable)
-            self.water_level = random.randint(1, 5) * 10
-            self.stage = 'planted' # wczesniej to była self.faza = 'posadzono' ale stwierdzilem ze lepiej po angielsku???
-        else:
-            if random.randint(1, 10) % 3 == 0:
-                self.set_type('water')
+        self.set_type(tile_type)
+        if self.type == 'water':
+            self.stage = 'no_plant'
             self.water_level = 100
+        elif self.type == 'grass':
             self.stage = 'no_plant'
-            else:
-                self.set_type('grass')
             self.water_level = random.randint(1, 5) * 10
-                self.stage = 'no_plant'
-        
+        else:
+            self.stage = 'planted'
 
         self.rect = self.image.get_rect()
         self.rect.topleft = (x * TILE_SIZE, y * TILE_SIZE)