subpopulation

Simulation/model/genesis_states.py

@@ -13,7 +13,7 @@ genesis_states = {
     'withdraw':{},
     'outboundAgents':[],
     'inboundAgents':[],
-    'operatorFiatBalance': R0,
+    'operatorFiatBalance': initialOperatingFiatBalance,
     'operatorCICBalance': S0,
     'fundsInProcess': {'timestep':[],'decision':[],'cic':[],'shilling':[]},
     'totalDistributedToAgents':0,

Simulation/model/partial_state_update_block.py

@@ -40,7 +40,9 @@ partial_state_update_block = {
         },
         'variables': {
         'withdraw': update_withdraw,
-        'network':update_network_withraw
+        'network':update_network_withraw,
+        'operatorFiatBalance':update_operatorFiatBalance_withdraw,
+        'operatorCICBalance':update_operatorCICBalance_withdraw
         }
     },
     # Operator

Simulation/model/parts/exogenousProcesses.py

@@ -19,10 +19,10 @@ def startingBalance(params, step, sL, s, _input):
     division =  timestep % 31  == 0
 
     if timestep == 1:
-        for i in agents:
+        for i in clusters:
             startingBalance[i] = network.nodes[i]['tokens']
     elif division == True:
-        for i in agents:
+        for i in clusters:
             startingBalance[i] = network.nodes[i]['tokens']
     else:
         startingBalance = s['startingBalance']
@@ -61,7 +61,7 @@ def redCrossDrop(params, step, sL, s, _input):
     
     timestep = s['timestep']
 
-    division =  timestep % 30  == 0
+    division =  timestep % redCrossDripFrequency  == 0
 
     if division == True:
         fiatBalance = fiatBalance + drip

Simulation/model/parts/initialization.py

@@ -4,19 +4,22 @@ import networkx as nx
 import matplotlib.pyplot as plt
 import numpy as np
 from .supportingFunctions import *
+from .subpopulation_clusters import *
 
 # Assumptions:
 # Amount received in shilling when withdraw occurs
 leverage = 1 
 
 # process time
-process_lag = 7 # timesteps
+process_lag = 15 # timesteps
 
 # red cross drip amount
-drip = 4000
+drip = 10000
 
-# system initialization
-agents = ['a','b','c','d','e','f','g','h','i','j','k','l','m','o','p']
+# starting operatorFiatBalance
+initialOperatingFiatBalance = 100000
+
+redCrossDripFrequency = 90 # days
 
 # system actors
 system = ['external','cic']
@@ -27,26 +30,11 @@ chama = ['chama_1','chama_2','chama_3','chama_4']
 # traders
 traders = ['ta','tb','tc'] #only trading on the cic. Link to external and cic not to other agents
 
-allAgents = agents + system
-
-mixingAgents = ['a','b','c','d','e','f','g','h','i','j','k','l','m','o','p','external']
-
-UtilityTypesOrdered ={'Food/Water':1,
-                    'Fuel/Energy':2,
-                    'Health':3,
-                    'Education':4,
-                    'Savings Group':5,
-                    'Shop':6}
-
-utilityTypesProbability = {'Food/Water':0.6,
-                    'Fuel/Energy':0.10,
-                    'Health':0.03,
-                    'Education':0.015,
-                    'Savings Group':0.065,
-                    'Shop':0.19}
+allAgents = clusters + system
 
 
-R0 =  500 #thousand xDAI
+
+R0 =  40000 #xDAI
 kappa = 4 #leverage
 P0 = 1/100 #initial price
 S0 = kappa*R0/P0
@@ -64,11 +52,11 @@ def create_network():
     network = nx.DiGraph()
 
     # Add nodes for n participants plus the external economy and the cic network
-    for i in agents:
-        network.add_node(i,type='Agent',tokens=400, native_currency = int(np.random.uniform(low=20, high=500, size=1)[0]))
+    for i in clusters:
+        network.add_node(i,type='Agent',tokens=clustersMedianSourceBalance[int(i)], native_currency = int(np.random.uniform(low=clusters1stQSourceBalance[int(i)], high=clusters3rdQSourceBalance[int(i)], size=1)[0])) 
         
         
-    network.add_node('external',type='Contract',native_currency = 100000000,tokens = 0,delta_native_currency = 0, pos=(1,50))
+    network.add_node('external',type='Cloud',native_currency = 100000000,tokens = 0,delta_native_currency = 0, pos=(1,50))
     network.add_node('cic',type='Contract',tokens= S0, native_currency = R0,pos=(50,1))
 
     for i in chama:
@@ -92,12 +80,11 @@ def create_network():
                 
     # Create bi-directional edges between some agent and a chama node representing membershio      
     for i in chama:
-        for j in agents:
+        for j in clusters:
             if np.random.choice(['Member','Non_Member'],1,p=[.50,.50])[0] == 'Member':
                 network.add_edge(i,j)
 
     # Type colors 
-    colors = ['Red','Blue','Green','Orange']
     color_map = []
     for i in network.nodes:
         if network.nodes[i]['type'] == 'Agent':

Simulation/model/parts/kpis.py

@@ -50,16 +50,14 @@ def velocity_of_money(params, step, sL, s):
 
     KPISpend = s['KPISpend']
 
-    # TODO: Moving average for state variable
     T = []
     for i,j in KPISpend.items():
         T.append(j)
         
     T = sum(T)
     
-    # TODO Moving average for state variable 
     M = []
-    for i in agents:
+    for i in clusters:
         M.append(network.nodes[i]['tokens'] + network.nodes[i]['native_currency'])
         
     M = sum(M)

Simulation/model/parts/operatorentity.py

@@ -7,21 +7,20 @@ from .supportingFunctions import *
 from collections import OrderedDict
 
 # Parameters
-FrequencyOfAllocation = 45 # every two weeks
+FrequencyOfAllocation = 7 
 idealFiat = 5000
 idealCIC = 200000
 varianceCIC = 50000
 varianceFiat = 1000
 unadjustedPerAgent = 50
+inventory_controller = False
 
 
 
-
-agentAllocation = {'a':[1,1],'b':[1,1],'c':[1,1], # agent:[centrality,allocationValue]
-                   'd':[1,1],'e':[1,1],'f':[1,1],
-                   'g':[1,1],'h':[1,1],'i':[1,1],
-                   'j':[1,1],'k':[1,1],'l':[1,1],
-                   'm':[1,1],'o':[1,1],'p':[1,1]}
+agentAllocation = {'0':[1,1],'1':[1,1],'2':[1,1], # agent:[centrality,allocationValue]
+                   '3':[1,1],'4':[1,1],'5':[1,1],
+                   '6':[1,1],'7':[1,1],'8':[1,1],
+                   '9':[1,1]}
 
 # Behaviors
 def disbursement_to_agents(params, step, sL, s):
@@ -51,8 +50,6 @@ def disbursement_to_agents(params, step, sL, s):
 def inventory_controller(params, step, sL, s):
     '''
     Monetary policy hysteresis conservation allocation between fiat and cic reserves.
-    
-    # TODO: If scarcity on both sides, add feedback to reduce percentage able to withdraw, frequency you can redeem, or redeem at less than par. 
     '''
     fiatBalance = s['operatorFiatBalance']
     cicBalance = s['operatorCICBalance']
@@ -62,10 +59,13 @@ def inventory_controller(params, step, sL, s):
 
     updatedCIC = cicBalance
     updatedFiat = fiatBalance
-
-    #decision,amt = mint_burn_logic_control(idealCIC,updatedCIC,variance,updatedFiat)
-    decision,amt = mint_burn_logic_control(idealCIC,updatedCIC,varianceCIC,updatedFiat,varianceFiat,idealFiat)
-
+    
+    if inventory_controller == True:
+        decision,amt = mint_burn_logic_control(idealCIC,updatedCIC,varianceCIC,updatedFiat,varianceFiat,idealFiat)
+    else:
+        decision = 'none'
+        amt = 0 
+        
     if decision == 'burn':
         try:
             deltaR, realized_price = withdraw(amt,updatedFiat,updatedCIC, V0, kappa)
@@ -129,7 +129,7 @@ def update_agent_tokens(params,step,sL,s,_input):
     amount = _input['amount']
 
     if distribute == 'Yes':
-        for i in agents:
+        for i in clusters:
             network.nodes[i]['tokens'] = network.nodes[i]['tokens'] + amount[i]
     else:
         pass

Simulation/model/parts/subpopulation_clusters.py

@@ -0,0 +1,149 @@
+# Computed clusters data
+
+clusters = ['0','1','2','3','4','5','6','7','8','9']
+
+mixingAgents = ['0','1','2','3','4','5','6','7','8','9','external']
+
+clustersMedianSourceBalance = [310.0,174.5,206.38,64767.51,229.17,251652.0,18304.36,211.7,250.5,310.0]
+
+clusters1stQSourceBalance = [112.53,119.22,100.46,64767.51,100.0,251652.0,14050.3,109.42,102.46,150.72]
+
+clusters3rdQSourceBalance = [800.24,540.43,582.48,64767.51,924.5,251652.0,24857.5,670.44,968.88,1458.79]
+
+clustersMu = [291.21,606.38,514.12,1589.17,527.76,3909.86,1291.45,601.12,457.42,1783.02]
+
+clustersSigma = [731.89,1529.2,1882.62,5646.55,1337.06,8736.56,3381.92,1548.68,1496.74,7596.17]
+
+UtilityTypesOrdered = {'0': {'Food/Water': 1,
+  'Farming/Labour': 2,
+  'Shop': 3,
+  'Fuel/Energy': 4,
+  'None': 5,
+  'Transport': 6,
+  'Savings Group': 7,
+  'Education': 8,
+  'Health': 9,
+  'Environment': 10,
+  'Staff': 11,
+  'System': 12,
+  'Chama': 13,
+  'Game': 14},
+ '1': {'Food/Water': 1},
+ '2': {'Savings Group': 1, 'Farming/Labour': 2, 'Food/Water': 3},
+ '3': {'Farming/Labour': 1,
+  'Food/Water': 2,
+  'Shop': 3,
+  'Savings Group': 4,
+  'Fuel/Energy': 5,
+  'None': 6,
+  'Transport': 7,
+  'Education': 8},
+ '4': {'Food/Water': 1,
+  'Savings Group': 2,
+  'Farming/Labour': 3,
+  'Shop': 4,
+  'Fuel/Energy': 5,
+  'Health': 6,
+  'None': 7,
+  'Transport': 8,
+  'Education': 9},
+ '5': {'Farming/Labour': 1,
+  'Food/Water': 2,
+  'Savings Group': 3,
+  'Shop': 4,
+  'Fuel/Energy': 5,
+  'Transport': 6},
+ '6': {'Food/Water': 1,
+  'Farming/Labour': 2,
+  'Shop': 3,
+  'Fuel/Energy': 4,
+  'Savings Group': 5,
+  'Education': 6,
+  'Transport': 7,
+  'None': 8,
+  'Health': 9,
+  'Staff': 10},
+ '7': {'Savings Group': 1, 'Food/Water': 2, 'Farming/Labour': 3, 'Shop': 4},
+ '8': {'Savings Group': 1,
+  'Food/Water': 2,
+  'Health': 3,
+  'Education': 4,
+  'Farming/Labour': 5,
+  'Shop': 6},
+ '9': {'Savings Group': 1},
+ 'external': {'Food/Water':1,
+                    'Fuel/Energy':2,
+                    'Health':3,
+                    'Education':4,
+                    'Savings Group':5,
+                    'Shop':6}}
+
+
+utilityTypesProbability = {'0': {'Food/Water': 0.3376267211378423,
+  'Farming/Labour': 0.3294560447874111,
+  'Shop': 0.19210546224844907,
+  'Fuel/Energy': 0.041685580269329704,
+  'None': 0.03374186715085489,
+  'Transport': 0.028086699954607355,
+  'Savings Group': 0.01813814495385081,
+  'Education': 0.012445150552277198,
+  'Health': 0.00450143743380239,
+  'Environment': 0.0012672113784233622,
+  'Staff': 0.0006808896958692692,
+  'System': 0.0002080496292933878,
+  'Chama': 3.782720532607051e-05,
+  'Game': 1.8913602663035257e-05},
+ '1': {'Food/Water': 1.0},
+ '2': {'Savings Group': 0.6427282569469506,
+  'Farming/Labour': 0.25045110068567306,
+  'Food/Water': 0.1068206423673764},
+ '3': {'Farming/Labour': 0.25480153649167736,
+  'Food/Water': 0.1882202304737516,
+  'Shop': 0.18437900128040974,
+  'Savings Group': 0.16645326504481434,
+  'Fuel/Energy': 0.12419974391805377,
+  'None': 0.07554417413572344,
+  'Transport': 0.0038412291933418692,
+  'Education': 0.002560819462227913},
+ '4': {'Food/Water': 0.3145801420414984,
+  'Savings Group': 0.2651441303439632,
+  'Farming/Labour': 0.16724690154574573,
+  'Shop': 0.1522072134800167,
+  'Fuel/Energy': 0.06057652137585295,
+  'Health': 0.03328227266397438,
+  'None': 0.0036206656454532793,
+  'Transport': 0.0020888455646845844,
+  'Education': 0.0012533073388107507},
+ '5': {'Farming/Labour': 0.35526315789473684,
+  'Food/Water': 0.35526315789473684,
+  'Savings Group': 0.18421052631578946,
+  'Shop': 0.05263157894736842,
+  'Fuel/Energy': 0.02631578947368421,
+  'Transport': 0.02631578947368421},
+ '6': {'Food/Water': 0.3230154767848228,
+  'Farming/Labour': 0.2860708936595107,
+  'Shop': 0.18871692461308037,
+  'Fuel/Energy': 0.0983524712930604,
+  'Savings Group': 0.040439340988517224,
+  'Education': 0.032950574138791815,
+  'Transport': 0.013979031452820768,
+  'None': 0.012980529206190713,
+  'Health': 0.0024962556165751375,
+  'Staff': 0.000998502246630055},
+ '7': {'Savings Group': 0.7747841105354059,
+  'Food/Water': 0.15751295336787566,
+  'Farming/Labour': 0.04870466321243523,
+  'Shop': 0.018998272884283247},
+ '8': {'Savings Group': 0.6999073215940685,
+  'Food/Water': 0.19258572752548656,
+  'Health': 0.03670064874884152,
+  'Education': 0.03132530120481928,
+  'Farming/Labour': 0.02057460611677479,
+  'Shop': 0.018906394810009268},
+ '9': {'Savings Group': 1.0},
+'external': {'Food/Water':0.6,
+                    'Fuel/Energy':0.10,
+                    'Health':0.03,
+                    'Education':0.015,
+                    'Savings Group':0.065,
+                    'Shop':0.19}}

Simulation/model/parts/supportingFunctions.py

@@ -173,36 +173,36 @@ def DictionaryMergeAddition(inflow,outflow):
         
     return merged
 
-def mint_burn_logic_control(ideal,actual,variance,fiat,fiat_variance,ideal_fiat):
+def mint_burn_logic_control(idealCIC,actualCIC,varianceCIC,actualFiat,varianceFiat,idealFiat):
     '''
     Inventory control function to test if the current balance is in an acceptable range. Tolerance range 
     '''
-    if ideal - variance <= actual <= ideal + (2*variance):
+    if idealFiat - varianceFiat <= actualFiat <= idealFiat + (2*varianceFiat):
         decision = 'none'
         amount = 0
     else:
-        if (ideal + variance) > actual:
-            decision = 'mint'
-            amount = (ideal + variance) - actual
+        if (idealFiat + varianceFiat) > actualFiat:
+            decision = 'burn'
+            amount = (idealFiat + varianceFiat) - actualFiat
         else:
             pass
-        if actual > (ideal + variance):
-            decision = 'burn'
-            amount = actual - (ideal + variance) 
+        if actualFiat > (idealFiat + varianceFiat):
+            decision = 'mint'
+            amount = actualFiat - (idealFiat + varianceFiat) 
         else:
             pass
 
     if decision == 'mint':
-        if fiat < (ideal_fiat - fiat_variance):
-            if amount > fiat:
+        if actualCIC < (idealCIC - varianceCIC):
+            if amount > actualCIC:
                 decision = 'none'
                 amount = 0
             else:
                 pass
     if decision == 'none':
-        if fiat < (ideal_fiat - fiat_variance):
+        if actualCIC < (idealCIC - varianceCIC):
             decision = 'mint'
-            amount = (ideal_fiat-fiat_variance)
+            amount = (idealCIC-varianceCIC)
         else:
             pass
     

Simulation/model/parts/system.py

@@ -5,6 +5,8 @@ from cadCAD.configuration.utils import access_block
 from .initialization import *
 from .supportingFunctions import *
 from collections import OrderedDict
+from .subpopulation_clusters import *
+
 
 # Parameters
 agentsMinus = 2
@@ -19,10 +21,28 @@ def choose_agents(params, step, sL, s):
     '''
     outboundAgents = np.random.choice(mixingAgents,size=len(mixingAgents)-agentsMinus).tolist()
     inboundAgents = np.random.choice(mixingAgents,size=len(mixingAgents)-agentsMinus).tolist()
-    stepDemands = np.random.uniform(low=1, high=500, size=len(mixingAgents)-agentsMinus).astype(int)
     
+    demands = []
+    for i in outboundAgents:
+        if i == 'external':
+            demands.append(np.random.normal(sum(clustersMu)/len(clustersMu), sum(clustersSigma)/len(clustersMu), 1)[0])
+        else:
+            demands.append(np.random.normal(clustersMu[int(i)], clustersSigma[int(i)], 1)[0])
+
+    stepDemands = []
+    for i in demands:
+        if i > 0:
+            stepDemands.append(round(i,2))
+        else:
+            stepDemands.append(1)
+
+
+
+    stepUtilities = []
+
+    for i in outboundAgents:
+            stepUtilities.append(np.random.choice(list(UtilityTypesOrdered[str(i)].keys()),size=1,p=list(utilityTypesProbability[str(i)].values()))[0])
 
-    stepUtilities = np.random.choice(list(UtilityTypesOrdered.keys()),size=len(mixingAgents)-agentsMinus,p=list(utilityTypesProbability.values())).tolist()
 
     return {'outboundAgents':outboundAgents,'inboundAgents':inboundAgents,'stepDemands':stepDemands,'stepUtilities':stepUtilities}
 
@@ -53,7 +73,10 @@ def spend_allocation(params, step, sL, s):
         rankOrderDemand = {}
         for j in network.adj[i]:
             try:
-                rankOrder[j] = UtilityTypesOrdered[network.adj[i][j]['utility']]
+                #print(network.adj[i][j]['utility'])
+                #print(network.adj[i][j])
+                utility = network.adj[i][j]['utility']
+                rankOrder[j] = UtilityTypesOrdered[i][utility]
                 rankOrderDemand[j] = network.adj[i][j]['demand']
                 rankOrder = dict(OrderedDict(sorted(rankOrder.items(), key=lambda v: v, reverse=False)))
                 for k in rankOrder:
@@ -239,7 +262,7 @@ def update_node_spend(params, step, sL, s,_input):
 
 def update_withdraw(params, step, sL, s,_input):
     '''
-    Update flow sstate variable with the aggregated amount of shillings withdrawn
+    Update flow state variable with the aggregated amount of shillings withdrawn
     '''
     y = 'withdraw'
     x = s['withdraw']
@@ -277,3 +300,39 @@ def update_network_withraw(params, step, sL, s,_input):
     x = network
     return (y,x)
 
+
+def update_operatorFiatBalance_withdraw(params, step, sL, s,_input):
+    '''
+    Update flow state variable with the aggregated amount of shillings withdrawn
+    '''
+    y = 'operatorFiatBalance'
+    x = s['operatorFiatBalance']
+    if _input['withdraw']:
+        withdraw = _input['withdraw']
+        withdrawnCICSum = []
+        for i,j in withdraw.items():
+            withdrawnCICSum.append(j)
+        x = x - sum(withdrawnCICSum)
+    else:
+        pass
+
+    return (y,x)
+
+
+
+def update_operatorCICBalance_withdraw(params, step, sL, s,_input):
+    '''
+    Update flow state variable with the aggregated amount of shillings withdrawn
+    '''
+    y = 'operatorCICBalance'
+    x = s['operatorCICBalance']
+    if _input['withdraw']:
+        withdraw = _input['withdraw']
+        withdrawnCICSum = []
+        for i,j in withdraw.items():
+            withdrawnCICSum.append(j)
+        x = x + sum(withdrawnCICSum)
+    else:
+        pass
+
+    return (y,x)

SubpopulationGenerator/data/token_view.csv

@@ -0,0 +1,2 @@
+2,Sarafu,SARAFU,,LIQUID,0x0Fd6e8F2320C90e9D4b3A5bd888c4D556d20AbD4,0x2160a64ea2DE397963e3740C2aA9efAA08BB711A
+1,Kenyan Shilling,Ksh,,RESERVE,0xaE4ca821F7Ec78587a113CAC8E0CC393715E8622,