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poa_evmda.py
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poa_evmda.py
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import os
import snappy
import grpc
import json
import asyncio
import psycopg2
import websockets
from datetime import datetime, timezone
from concurrent.futures import ThreadPoolExecutor
from dotenv import load_dotenv
from web3 import Web3
from web3.middleware import ExtraDataToPOAMiddleware
import disperser_pb2
import disperser_pb2_grpc
load_dotenv()
GRPC_ENDPOINT = os.getenv("GRPC_ENDPOINT")
ACCOUNT = os.getenv("ACCOUNT")
DB_HOST = os.getenv("DB_HOST")
DB_PORT = os.getenv("DB_PORT", 5432)
DB_USER = os.getenv("DB_USER")
DB_PASSWORD = os.getenv("DB_PASSWORD")
DB_NAME = os.getenv("DB_NAME") # Database name
CHUNK_SIZE = 31 # 0 prefix byte leaves 31 bytes for data
executor = ThreadPoolExecutor(max_workers=200) # Adjust the number of workers as needed
def chunk_encode(data):
length_prefix = len(data).to_bytes(4, "big")
total_length = len(length_prefix) + len(data)
padding_length = (CHUNK_SIZE - (total_length % CHUNK_SIZE)) % CHUNK_SIZE
padded_bytes = length_prefix + data + b"\x00" * padding_length
chunks = [
padded_bytes[i: i + CHUNK_SIZE]
for i in range(0, len(padded_bytes), CHUNK_SIZE)
]
# Set first byte to 0 to ensure data is within valid range of bn254 curve
prefixed_chunks = [b"\x00" + chunk for chunk in chunks]
return b"".join(prefixed_chunks)
def to_serializable(val):
if isinstance(val, bytes):
return val.hex()
elif isinstance(val, datetime):
return val.isoformat()
return str(val)
def disperse_blob(request):
channel = grpc.secure_channel(GRPC_ENDPOINT, grpc.ssl_channel_credentials())
client = disperser_pb2_grpc.DisperserStub(channel)
response = client.DisperseBlob(request)
return response
def connect_db():
connection = psycopg2.connect(
host=DB_HOST,
port=DB_PORT,
user=DB_USER,
password=DB_PASSWORD,
dbname=DB_NAME
)
return connection
def log_block_info_to_db(chain_name, block_number, block_size, request_id):
try:
connection = connect_db()
cursor = connection.cursor()
# Create table if it doesn't exist
create_table_query = f"""
CREATE TABLE IF NOT EXISTS {chain_name} (
id SERIAL PRIMARY KEY,
block_number BIGINT NOT NULL,
block_size BIGINT NOT NULL,
request_id TEXT NOT NULL,
timestamp TIMESTAMPTZ NOT NULL
);
"""
cursor.execute(create_table_query)
# Insert log entry into the respective chain table
insert_query = f"""
INSERT INTO {chain_name} (block_number, block_size, request_id, timestamp)
VALUES (%s, %s, %s, %s);
"""
cursor.execute(insert_query, (
block_number,
block_size,
request_id,
datetime.now(timezone.utc).isoformat()
))
connection.commit()
cursor.close()
connection.close()
except Exception as e:
print(f"Error logging block info to database: {e}")
def log_chain_info_to_db(chain_name, data_posted):
try:
connection = connect_db()
cursor = connection.cursor()
insert_query = """
INSERT INTO ChainInfo (chain_name, data_posted)
VALUES (%s, %s)
ON CONFLICT (chain_name) DO UPDATE SET
data_posted = ChainInfo.data_posted + EXCLUDED.data_posted;
"""
cursor.execute(insert_query, (chain_name, data_posted))
connection.commit()
cursor.close()
connection.close()
except Exception as e:
print(f"Error logging chain info to database: {e}")
async def process_block(chain_name, block_info, w3):
block_number = int(block_info["number"], 16) # Convert hex block number to int
try:
# Fetch the full block
block_data = w3.eth.get_block(block_number, full_transactions=True)
json_data = json.dumps(dict(block_data), default=to_serializable).encode("utf-8")
json_size = len(json_data) / 1024 / 1024
snappy_data = chunk_encode(json_data)
snappy_size = len(snappy_data) / 1024 / 1024
print(f"Block {block_number} json:{json_size:.1f}MiB snappy:{snappy_size:.1f}MiB")
request = disperser_pb2.DisperseBlobRequest(data=snappy_data, account_id=ACCOUNT)
# Create an async task to disperse the blob and log it without waiting
asyncio.create_task(disperse_and_log(chain_name, request, block_number, len(snappy_data)))
# Log chain info
log_chain_info_to_db(chain_name, len(snappy_data))
except Exception as e:
print(f"Error processing block {block_number} for {chain_name}: {e}")
async def disperse_and_log(chain_name, request, block_number, block_size):
try:
# Run the disperse_blob in the executor
response = await asyncio.get_event_loop().run_in_executor(executor, disperse_blob, request)
# Log block information to the database
request_id = response.request_id.decode('utf-8')
log_block_info_to_db(chain_name, block_number, block_size, request_id)
except Exception as e:
print(f"Error in disperse_and_log for block {block_number} on {chain_name}: {e}")
async def subscribe_to_blocks(chain_name, rpc_endpoint, ws_endpoint):
w3 = Web3(Web3.HTTPProvider(rpc_endpoint))
w3.middleware_onion.inject(ExtraDataToPOAMiddleware, layer=0)
uri = ws_endpoint
while True:
try:
print(f"Connecting to WebSocket for {chain_name}...")
async with websockets.connect(uri, max_size=None) as websocket:
subscribe_message = {
"jsonrpc": "2.0",
"id": 1,
"method": "eth_subscribe",
"params": ["newHeads"]
}
await websocket.send(json.dumps(subscribe_message))
print(f"Subscription message sent for {chain_name}...")
while True:
message = await websocket.recv()
data = json.loads(message)
if "params" in data:
block_info = data["params"]["result"]
await process_block(chain_name, block_info, w3)
except websockets.exceptions.ConnectionClosedError as e:
print(f"Connection closed for {chain_name}, retrying in 5 seconds: {e}")
await asyncio.sleep(5) # Wait for 5 seconds before retrying
except Exception as e:
print(f"Unexpected error for {chain_name}: {e}")
await asyncio.sleep(5) # Wait for 5 seconds before retrying
async def main():
chains = [
{
"name": "Avalanche",
"rpc_endpoint": "",
"ws_endpoint": ""
},
{
"name": "BNB",
"rpc_endpoint": "",
"ws_endpoint": ""
},
{
"name": "Polygon",
"rpc_endpoint": "",
"ws_endpoint": ""
},
{
"name": "Scroll",
"rpc_endpoint": "",
"ws_endpoint": ""
}
]
tasks = []
for chain in chains:
tasks.append(subscribe_to_blocks(chain["name"], chain["rpc_endpoint"], chain["ws_endpoint"]))
await asyncio.gather(*tasks)
if __name__ == '__main__':
asyncio.run(main())