Commit d366f99d authored by Abhishek Kumar's avatar Abhishek Kumar

Completed txns code

parent fb9756fb
from utils import * from utils import *
from simulate import Event from simulate import Event
class Block: class Block:
def __init__(self, peer, ID, transactions, previous_block_ID): def __init__(self, nodeID, ID, transactions, previous_block_ID):
# Initialize block attributes # Initialize block attributes
self.blk_Id = ID self.blk_Id = ID
self.transactions = transactions self.transactions = transactions
self.prev_blk_Id = previous_block_ID self.prev_blk_Id = previous_block_ID
self.pow_user_id = peer self.pow_user_id = nodeID
return return
class Blockchain: class Blockchain:
def __init__(self): def __init__(self):
# Initialize blockchain attributes # Initialize blockchain attributes
# TODO: Should broadcast the genesis block
self.chain = {} self.chain = {}
self.genensis_block = Block(0, [], -1) self.genensis_block = Block(-1, gen_hash(GENESIS_SECRET), [], -1)
self.chain[self.genensis_block.blk_Id] = self.genensis_block self.chain[self.genensis_block.blk_Id] = (self.genensis_block, 0) #
self.head = 0 self.head = self.genensis_block.blk_Id
self.len_longest_chain = 1 self.len_longest_chain = 1
self.seen_transactions = set() self.seen_transactions = set()
self.pending_transactions = set() self.pending_transactions = set()
self.next_pow_completion_time = 0 self.next_pow_completion_time = 0
pass
def get_chain_length(self, blk_Id = None): def get_chain_length(self, blk_Id=None):
# Return the length of the longest chain # Return the length of the longest chain
if blk_Id is None: if blk_Id is None:
curr = self.len_longest_chain curr = self.head
curr = blk_Id curr = blk_Id
cnt = 0 cnt = 0
while(curr != -1): while curr != self.genensis_block.blk_Id:
if curr not in self.chain: if curr not in self.chain:
print("ERROR: Block not found in the chain") print("ERROR: Block not found in the chain")
break break
curr = self.chain[curr].prev_blk_Id curr = self.chain[curr].prev_blk_Id
cnt += 1 cnt += 1
return cnt return cnt
def receive_txn(self, txn): def receive_txn(self, txn):
""" """
Receive transaction from a neighbor Receive transaction from a neighbor
if already seen, return 0 else return 1 if already seen, return 0 else return 1
""" """
if txn in self.seen_transactions: if txn in self.seen_transactions:
return 0 return 0
...@@ -49,18 +50,33 @@ class Blockchain: ...@@ -49,18 +50,33 @@ class Blockchain:
self.seen_transactions.add(txn_id) self.seen_transactions.add(txn_id)
self.pending_transactions.add(txn) self.pending_transactions.add(txn)
return 1 return 1
def verify_blk(self, blk): def verify_blk(self, blk):
""" """
Verify the block Verify the block
if valid, return 1 else 0 if valid, return 1 else 0
""" """
return 1 return 1
def add_mined_block(self, blk): def add_mined_block(self, blk):
""" """
Add the mined block to the blockchain Add the mined block to the blockchain
""" """
return return
def def print_chain(self):
pass
def already_exist(self, blk):
print(blk, self.chain.get(blk.blk_Id))
exit()
if blk.blk_Id in self.chain:
return True
return False
def received_txn(self, txn):
if txn in self.pending_transactions or txn in self.seen_transactions:
return False
self.pending_transactions.add(txn)
return True
...@@ -3,30 +3,46 @@ from simulate import EventSimulator ...@@ -3,30 +3,46 @@ from simulate import EventSimulator
import random import random
from network import Network from network import Network
def parse_cmd(): def parse_cmd():
""" """
Parse command line arguments Parse command line arguments
""" """
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument('-n', '--num_nodes', type = int, default = 50, help="Number of nodes in the network") parser.add_argument(
parser.add_argument('--z0', type = int, default = 10, help="percentage of node with slow bandwidth") "-n", "--num_nodes", type=int, default=50, help="Number of nodes in the network"
parser.add_argument('--z1', type = int, default = 10, help="percentage of node with low CPU") )
parser.add_argument('--T_tx', type = int, default = 10, help="Interarrival time between transactions") parser.add_argument(
parser.add_argument('--I', type = int, default = 100, help="Interarrival time between blocks") "--z0", type=int, default=10, help="percentage of node with slow bandwidth"
parser.add_argument('--T_dij', type = int, default = 10, help="Mean of queuing delay") )
#parser.add_argument('--pij', type = int, default = 10, help="speed of light propagation delay") parser.add_argument(
parser.add_argument('--sim_time', type = int, default = 100, help="Simulation time in seconds") "--z1", type=int, default=10, help="percentage of node with low CPU"
parser.add_argument('--seed', type = int, default = 0, help="Seed for random number generator") )
parser.add_argument(
"--T_tx", type=int, default=10, help="Interarrival time between transactions"
)
parser.add_argument(
"--I", type=int, default=100, help="Interarrival time between blocks"
)
parser.add_argument("--T_dij", type=int, default=10, help="Mean of queuing delay")
# parser.add_argument('--pij', type = int, default = 10, help="speed of light propagation delay")
parser.add_argument(
"--sim_time", type=int, default=100, help="Simulation time in seconds"
)
parser.add_argument(
"--seed", type=int, default=0, help="Seed for random number generator"
)
return parser.parse_args() return parser.parse_args()
if __name__ == '__main__':
if __name__ == "__main__":
args = parse_cmd() args = parse_cmd()
random.seed(args.seed) random.seed(args.seed)
print(args) print(args)
sim = EventSimulator(args) sim = EventSimulator(args)
nx = Network(sim, args) nx = Network(sim, args)
sim.startSimulation() sim.startSimulation()
exit(0) exit(0)
\ No newline at end of file
...@@ -3,38 +3,45 @@ import random ...@@ -3,38 +3,45 @@ import random
from simulate import Event from simulate import Event
from utils import sample_exponential from utils import sample_exponential
class Network: class Network:
def __init__(self, sim, args): def __init__(self, sim, args):
self.args = args self.args = args
self.sim = sim self.sim = sim
self.pij = float(random.randrange(10, 500)) * 0.001# speed of light propagation delay in ms # speed of light propagation delay in ms
self.pij = float(random.randrange(10, 500)) * 0.001
self.I = 600 self.I = 600
self.create_nodes() self.create_nodes()
self.create_connections() self.create_connections()
self.sim.push_event(Event(0, self.init_simulation,)) self.sim.push_event(
Event(
0,
self.init_simulation,
)
)
return return
def init_simulation(self, args): def init_simulation(self, args):
for node in self.nodes: for node in self.nodes:
node.init_simulation() node.init_simulation()
return return
def create_nodes(self): def create_nodes(self):
""" """
Create a list of nodes with the specified parameters Create a list of nodes with the specified parameters
""" """
self.nodes = [] self.nodes = []
# Create a list of badwidth and cpu type based on z0 and z1 # Create a list of badwidth and cpu type based on z0 and z1
# 0 is slow and 1 is fast # 0 is slow and 1 is fast
bandwidth_type = [1] * self.args.num_nodes bandwidth_type = [1] * self.args.num_nodes
num_slow_bandwidth = int((self.args.z0*self.args.num_nodes)/100) num_slow_bandwidth = int((self.args.z0 * self.args.num_nodes) / 100)
rand_idx = random.sample(range(self.args.num_nodes), num_slow_bandwidth) rand_idx = random.sample(range(self.args.num_nodes), num_slow_bandwidth)
for idx in rand_idx: for idx in rand_idx:
bandwidth_type[idx] = 0 bandwidth_type[idx] = 0
cpu_type = [1] * self.args.num_nodes cpu_type = [1] * self.args.num_nodes
num_slow_cpu = int((self.args.z1*self.args.num_nodes)/100) num_slow_cpu = int((self.args.z1 * self.args.num_nodes) / 100)
rand_idx = random.sample(range(self.args.num_nodes), num_slow_cpu) rand_idx = random.sample(range(self.args.num_nodes), num_slow_cpu)
for idx in rand_idx: for idx in rand_idx:
cpu_type[idx] = 0 cpu_type[idx] = 0
...@@ -42,8 +49,8 @@ class Network: ...@@ -42,8 +49,8 @@ class Network:
# Based on CPU type calculate the PoW time Tk # Based on CPU type calculate the PoW time Tk
# 10 * h_k * (n - num_slow) + h_k * num_slow = 1 # 10 * h_k * (n - num_slow) + h_k * num_slow = 1
# => h_k = 1 / (10 * n - 9 * num_slow) # => h_k = 1 / (10 * n - 9 * num_slow)
h_k_slow = 1 / float(10*self.args.num_nodes - 9*num_slow_cpu) h_k_slow = 1 / float(10 * self.args.num_nodes - 9 * num_slow_cpu)
Tk = [] Tk = []
for i in range(self.args.num_nodes): for i in range(self.args.num_nodes):
if cpu_type[i] == 0: if cpu_type[i] == 0:
...@@ -52,26 +59,43 @@ class Network: ...@@ -52,26 +59,43 @@ class Network:
Tk.append(10 * (1 - h_k_slow)) Tk.append(10 * (1 - h_k_slow))
for i in range(self.args.num_nodes): for i in range(self.args.num_nodes):
self.nodes.append(Node(self.sim, i, bandwidth_type[i],\ self.nodes.append(
cpu_type[i], float(self.I)/Tk[i], self.args.T_tx,\ Node(
self.args.num_nodes, self.pij)) self.sim,
i,
bandwidth_type[i],
cpu_type[i],
float(self.I) / Tk[i],
self.args.T_tx,
self.args.num_nodes,
self.pij,
)
)
return return
def create_connections(self): def create_connections(self):
""" """
Create a bidirectional graph, 3-6 adjacent nodes per node Create a bidirectional graph, 3-6 adjacent nodes per node
TODO(SM): Need a better way to create a valid graph TODO(SM): Need a better way to create a valid graph
""" """
num_nodes = self.args.num_nodes num_nodes = self.args.num_nodes
valid_graph = False valid_graph = False
cnt = 0 cnt = 0
while valid_graph == False: while valid_graph == False:
#print("tyring to create a valid graph",cnt) # print("tyring to create a valid graph",cnt)
adjacency_list = [[] for _ in range(num_nodes)] adjacency_list = [[] for _ in range(num_nodes)]
for i in range(num_nodes): for i in range(num_nodes):
num_connections = random.randint(3, 6) num_connections = random.randint(3, 6)
potential_neighbors = [x for x in range(num_nodes) if x != i and len(adjacency_list[x]) < 6 and x not in adjacency_list[i]] potential_neighbors = [
neighbors = random.sample(potential_neighbors, min(num_connections, len(potential_neighbors))) x
for x in range(num_nodes)
if x != i
and len(adjacency_list[x]) < 6
and x not in adjacency_list[i]
]
neighbors = random.sample(
potential_neighbors, min(num_connections, len(potential_neighbors))
)
for j in neighbors: for j in neighbors:
adjacency_list[i].append(j) adjacency_list[i].append(j)
adjacency_list[j].append(i) adjacency_list[j].append(i)
...@@ -90,4 +114,4 @@ class Network: ...@@ -90,4 +114,4 @@ class Network:
for node in self.nodes: for node in self.nodes:
print(node.nodeId, node) print(node.nodeId, node)
print("Graph created") print("Graph created")
return return
\ No newline at end of file
This diff is collapsed.
This source diff could not be displayed because it is too large. You can view the blob instead.
...@@ -7,6 +7,7 @@ class Event: ...@@ -7,6 +7,7 @@ class Event:
self.time = time self.time = time
self.operation = operation self.operation = operation
self.args = args self.args = args
def process(self): def process(self):
#print("Processing event at time", self.time) #print("Processing event at time", self.time)
return self.operation(self.args) return self.operation(self.args)
...@@ -30,7 +31,7 @@ class EventSimulator: ...@@ -30,7 +31,7 @@ class EventSimulator:
Start the simulation. Start the simulation.
Run till the simulation time is reached or the queue is empty Run till the simulation time is reached or the queue is empty
""" """
print("Starting the simulation") print("Starting the simulation...")
while len(self.queue) > 0 and self.queue[0].time < self.sim_time: while len(self.queue) > 0 and self.queue[0].time < self.sim_time:
event = self.queue.pop(0) event = self.queue.pop(0)
self.curr_time = event.time self.curr_time = event.time
......
import random import random
import hashlib
GENESIS_SECRET = "afa25t#$e09ad&1q0-9quQ8q2_aE8Q^"
def gen_hash(value):
return hashlib.sha256(value.encode("utf-8")).hexdigest()
def sample_exponential(mean): def sample_exponential(mean):
return random.expovariate(1/mean) return random.expovariate(1 / mean)
txn_id = 0
txn_id = 0
def gen_txn_id(): def gen_txn_id():
global txn_id global txn_id
txn_id += 1 txn_id += 1
return txn_id return txn_id
def get_txn_id(txn): def get_txn_id(txn):
return txn.split(":")[0] return txn.split(":")[0]
blk_id = 0 blk_id = 0
def gen_blk_id(): def gen_blk_id():
global blk_id global blk_id
blk_id += 1 blk_id += 1
return blk_id return blk_id
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment