bakery class

python/src/classes.py

@@ -0,0 +1,48 @@
+import numpy as np
+from datetime import datetime, timedelta
+
+class Bakery:
+    def __init__(self):
+        # Resources stock
+        self.flour_stock = 100  # kg
+        self.yeast_stock = 10   # kg
+        self.energy_stock = 200 # kWh
+        self.bread_stock = 0    # loaves
+        
+        # Production variables
+        self.flour_per_loaf = 0.5  # kg per loaf
+        self.yeast_per_loaf = 0.02 # kg per loaf
+        self.energy_per_loaf = 0.3 # kWh per loaf
+        
+        # Community / meta-system metrics
+        self.community_trust = 50  # 0-100 score
+        self.distribution_log = []
+        
+    def produce_bread(self, requested_loaves):
+        # Max possible loaves
+        max_flour = self.flour_stock // self.flour_per_loaf
+        max_yeast = self.yeast_stock // self.yeast_per_loaf
+        max_energy = self.energy_stock // self.energy_per_loaf
+        possible_loaves = min(max_flour, max_yeast, max_energy, requested_loaves)
+        
+        if possible_loaves > 0:
+            # Deduct resources
+            self.flour_stock -= possible_loaves * self.flour_per_loaf
+            self.yeast_stock -= possible_loaves * self.yeast_per_loaf
+            self.energy_stock -= possible_loaves * self.energy_per_loaf
+            
+            # Add bread (with 1% waste)
+            self.bread_stock += int(possible_loaves * 0.99)
+            
+        return possible_loaves
+    
+    def distribute_bread(self, priority_groups):
+        # Allocate 80% to mutual aid network, 20% to individuals (commune can and should feed themselves if possible)
+        total_distributed = min(self.bread_stock, priority_groups["mutual_aid"] * 0.8 + priority_groups["individuals"] * 0.2)
+        self.bread_stock -= total_distributed
+        self.distribution_log.append({
+            "date": datetime.now(),
+            "mutual_aid": total_distributed * 0.8,
+            "individuals": total_distributed * 0.2
+        })
+        return total_distributed