initial model

python/src/classes.py

@@ -1,5 +1,5 @@
 import numpy as np
-from datetime import datetime, timedelta
+from datetime import datetime
 
 class Bakery:
     def __init__(self):
@@ -15,7 +15,7 @@ class Bakery:
         self.energy_per_loaf = 0.3 # kWh per loaf
         
         # Community / meta-system metrics
-        self.community_trust = 50  # 0-100 score
+        self.community_trust = 50.0  # 0-100 score
         self.distribution_log = []
         
     def produce_bread(self, requested_loaves):
@@ -46,3 +46,13 @@ class Bakery:
             "individuals": total_distributed * 0.2
         })
         return total_distributed
+
+class Member:
+    def __init__(self, name, skill):
+        self.name = name
+        self.skill = skill
+        self.participation_score = np.random.randint(20, 80)
+        self.trust_score = np.random.randint(30, 70)
+        
+    def vote(self, proposal):
+        return "yes" if np.random.rand() > 0.01 else "no"  # 1/100 chance for a no

python/src/simulation.py

@@ -0,0 +1,49 @@
+import numpy as np
+from datetime import datetime, timedelta
+from classes import Bakery, Member
+
+def simulate_days(days=30):
+    bakery = Bakery()
+    
+    # Initialize members
+    members = [
+        Member("Alex", "baker"),
+        Member("Sam", "organizer"),
+        Member("Jamie", "distributor"),
+        Member("Casey", "volunteer")
+    ]
+
+    # Metrics
+    trust_history = []
+    bread_history = []
+    
+    for day in range(days):
+        # --- Daily donations ---
+        bakery.flour_stock += np.random.randint(10, 2)  # ~10kg/day
+        bakery.energy_stock += np.random.randint(30, 5) # ~30kWh/day
+        
+        # --- Decentralized production decision ---
+        if bakery.flour_stock < 50:  # Trigger production proposal
+            votes = [member.vote("produce_bread") for member in members]
+            yes_votes = sum(1 for vote in votes if vote == "yes")
+            
+            if yes_votes / len(members) >= 1:  # Consensus
+                requested_loaves = 100
+                produced = bakery.produce_bread(requested_loaves)
+                print(f"Day {day}: Produced {produced} loaves")
+        
+        # --- Distribute bread ---
+        daily_distribution = bakery.distribute_bread({
+            "mutual_aid": 50,   # 50 groups needing bread
+            "individuals": 100  # 100 individuals
+        })
+        
+        # --- Update meta-system trust ---
+        bakery.community_trust += daily_distribution * 0.1
+        bakery.community_trust = min(bakery.community_trust, 100)
+        
+        # Log metrics
+        trust_history.append(bakery.community_trust)
+        bread_history.append(bakery.bread_stock)
+    
+    return trust_history, bread_history