import numpy as np
from datetime import datetime

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  # 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

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