Implement computing associatedBondingCurve from bondingCurve
For reference #26
This commit is contained in:
@@ -8,7 +8,9 @@ Make sure you have the required packages installed `pip install -r requirements.
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Make sure you have your endpoints set up in `config.py`.
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Quick note on a couple of new scripts in `/learning-examples`:
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Quick note on a couple on a few new scripts in `/learning-examples`:
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*(this is basically a changelog now)*
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## Bonding curve state check
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@@ -29,3 +31,38 @@ Note that it's using the [blockSubscribe]([url](https://docs.chainstack.com/refe
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To run:
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`python listen_to_raydium_migration.py`
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**The new two additions are based on this question [associatedBondingCurve #26](https://github.com/chainstacklabs/pump-fun-bot/issues/26)**
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You can take the compute the associatedBondingCurve address following the [Solana docs PDA](https://solana.com/docs/core/pda) description logic. Take the following as input *as seed* (order seems to matter):
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- bondingCurve address
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- the Solana system token program address: `TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA`
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- the token mint address
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And compute against the Solana system associated token account program address: `ATokenGPvbdGVxr1b2hvZbsiqW5xWH25efTNsLJA8knL`.
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The implications of this are kinda huge:
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* you can now use `logsSubscribe` to snipe the tokens and you are not limited to the `blockSubscribe` method
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* see which one is faster
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* not every provider supports `blockSubscribe` on lower tier plans or at all, but everyone supports `logsSubscribe`
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The following script showcase the implementation.
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## Compute associated bonding curve
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`compute_associated_bonding_curve.py` — computes the associated bonding curve for a given token.
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To run:
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`python compute_associated_bonding_curve.py` and then enter the token mint address.
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## Listen to new direct full details
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`listen_new_direct_full_details.py` — listens to the new direct full details events and prints the signature, the token address, and the bonding curve address.
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To run:
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`python listen_new_direct_full_details.py`
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So now you can run `listen_create_from_blocksubscribe.py` and `listen_new_direct_full_details.py` at the same time and see which one is faster.
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@@ -19,7 +19,7 @@ BUY_SLIPPAGE = 0.2 # 20% slippage tolerance for buying
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SELL_SLIPPAGE = 0.2 # 20% slippage tolerance for selling
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# Your nodes
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# You can also get a trader node https://docs.chainstack.com/docs/warp-transactions
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# You can also get a trader node https://docs.chainstack.com/docs/solana-trader-nodes
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RPC_ENDPOINT = "SOLANA_NODE_RPC_ENDPOINT"
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WSS_ENDPOINT = "SOLANA_NODE_WSS_ENDPOINT"
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@@ -0,0 +1,62 @@
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import sys
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import os
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from solders.pubkey import Pubkey
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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from config import PUMP_PROGRAM
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def get_bonding_curve_address(mint: Pubkey, program_id: Pubkey) -> tuple[Pubkey, int]:
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"""
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Derives the bonding curve address for a given mint
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"""
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return Pubkey.find_program_address(
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[
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b"bonding-curve",
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bytes(mint)
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],
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program_id
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)
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def find_associated_bonding_curve(mint: Pubkey, bonding_curve: Pubkey) -> Pubkey:
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"""
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Find the associated bonding curve for a given mint and bonding curve.
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This uses the standard ATA derivation.
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"""
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from config import SYSTEM_TOKEN_PROGRAM as TOKEN_PROGRAM_ID
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from config import SYSTEM_ASSOCIATED_TOKEN_ACCOUNT_PROGRAM as ATA_PROGRAM_ID
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derived_address, _ = Pubkey.find_program_address(
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[
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bytes(bonding_curve),
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bytes(TOKEN_PROGRAM_ID),
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bytes(mint),
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],
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ATA_PROGRAM_ID
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)
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return derived_address
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def main():
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mint_address = input("Enter the token mint address: ")
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try:
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mint = Pubkey.from_string(mint_address)
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bonding_curve_address, bump = get_bonding_curve_address(mint, PUMP_PROGRAM)
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# Calculate the associated bonding curve
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associated_bonding_curve = find_associated_bonding_curve(mint, bonding_curve_address)
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print("\nResults:")
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print("-" * 50)
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print(f"Token Mint: {mint}")
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print(f"Bonding Curve: {bonding_curve_address}")
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print(f"Associated Bonding Curve: {associated_bonding_curve}")
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print(f"Bonding Curve Bump: {bump}")
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print("-" * 50)
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except ValueError as e:
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print(f"Error: Invalid address format - {str(e)}")
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if __name__ == "__main__":
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main()
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@@ -0,0 +1,146 @@
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import asyncio
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import json
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import websockets
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import base58
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import base64
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import struct
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import sys
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import os
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from solders.pubkey import Pubkey
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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from config import (
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WSS_ENDPOINT,
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PUMP_PROGRAM,
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SYSTEM_TOKEN_PROGRAM as TOKEN_PROGRAM_ID,
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SYSTEM_ASSOCIATED_TOKEN_ACCOUNT_PROGRAM as ATA_PROGRAM_ID
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)
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def find_associated_bonding_curve(mint: Pubkey, bonding_curve: Pubkey) -> Pubkey:
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"""
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Find the associated bonding curve for a given mint and bonding curve.
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This uses the standard ATA derivation.
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"""
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derived_address, _ = Pubkey.find_program_address(
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[
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bytes(bonding_curve),
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bytes(TOKEN_PROGRAM_ID),
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bytes(mint),
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],
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ATA_PROGRAM_ID
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)
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return derived_address
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# Load the IDL JSON file
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with open('../idl/pump_fun_idl.json', 'r') as f:
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idl = json.load(f)
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# Extract the "create" instruction definition
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create_instruction = next(instr for instr in idl['instructions'] if instr['name'] == 'create')
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def parse_create_instruction(data):
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if len(data) < 8:
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return None
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offset = 8
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parsed_data = {}
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# Parse fields based on CreateEvent structure
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fields = [
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('name', 'string'),
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('symbol', 'string'),
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('uri', 'string'),
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('mint', 'publicKey'),
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('bondingCurve', 'publicKey'),
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('user', 'publicKey'),
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]
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try:
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for field_name, field_type in fields:
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if field_type == 'string':
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length = struct.unpack('<I', data[offset:offset+4])[0]
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offset += 4
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value = data[offset:offset+length].decode('utf-8')
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offset += length
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elif field_type == 'publicKey':
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value = base58.b58encode(data[offset:offset+32]).decode('utf-8')
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offset += 32
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parsed_data[field_name] = value
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return parsed_data
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except:
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return None
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def print_transaction_details(log_data):
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print(f"Signature: {log_data.get('signature')}")
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for log in log_data.get('logs', []):
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if log.startswith("Program data:"):
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try:
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data = base58.b58decode(log.split(": ")[1]).decode('utf-8')
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print(f"Data: {data}")
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except:
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pass
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async def listen_for_new_tokens():
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while True:
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try:
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async with websockets.connect(WSS_ENDPOINT) as websocket:
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subscription_message = json.dumps({
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"jsonrpc": "2.0",
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"id": 1,
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"method": "logsSubscribe",
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"params": [
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{"mentions": [str(PUMP_PROGRAM)]},
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{"commitment": "processed"}
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]
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})
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await websocket.send(subscription_message)
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print(f"Listening for new token creations from program: {PUMP_PROGRAM}")
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# Wait for subscription confirmation
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response = await websocket.recv()
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print(f"Subscription response: {response}")
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while True:
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try:
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response = await websocket.recv()
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data = json.loads(response)
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if 'method' in data and data['method'] == 'logsNotification':
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log_data = data['params']['result']['value']
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logs = log_data.get('logs', [])
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if any("Program log: Instruction: Create" in log for log in logs):
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for log in logs:
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if "Program data:" in log:
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try:
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encoded_data = log.split(": ")[1]
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decoded_data = base64.b64decode(encoded_data)
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parsed_data = parse_create_instruction(decoded_data)
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if parsed_data and 'name' in parsed_data:
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print("Signature:", log_data.get('signature'))
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for key, value in parsed_data.items():
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print(f"{key}: {value}")
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# Calculate associated bonding curve
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mint = Pubkey.from_string(parsed_data['mint'])
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bonding_curve = Pubkey.from_string(parsed_data['bondingCurve'])
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associated_curve = find_associated_bonding_curve(mint, bonding_curve)
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print(f"Associated Bonding Curve: {associated_curve}")
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print("##########################################################################################")
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except Exception as e:
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print(f"Failed to decode: {log}")
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print(f"Error: {str(e)}")
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except Exception as e:
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print(f"An error occurred while processing message: {e}")
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break
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except Exception as e:
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print(f"Connection error: {e}")
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print("Reconnecting in 5 seconds...")
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await asyncio.sleep(5)
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if __name__ == "__main__":
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asyncio.run(listen_for_new_tokens())
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