Files
pumpfun-bonkfun-bot_github/learning-examples/manual_buy_cu_optimized.py
T
Anton Sauchyk 546b94af6f fix(examples): add bonding_curve_v2 to learning examples (#160)
* fix(examples): add bonding_curve_v2 remaining account to learning examples

Add the required bonding_curve_v2 PDA as a remaining account to buy/sell
instructions in manual_buy, manual_sell, mint_and_buy, and mint_and_buy_v2
learning examples, matching the pump.fun program upgrade.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix(examples): add bonding_curve_v2 to manual_buy_geyser and manual_buy_cu_optimized

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 23:54:18 +01:00

571 lines
22 KiB
Python

"""
Pump.fun Token Buy Script with Compute Unit Optimization
This script is identical to manual_buy.py but adds SetLoadedAccountsDataSizeLimit
instruction. By default, Solana transactions can load up to 64MB of account data
(costing 16k CU). By setting a lower limit (512KB), we reduce CU consumption and
improve transaction priority.
Key difference from manual_buy.py:
- Adds set_loaded_accounts_data_size_limit(512_000) before other instructions
NOTE: The CU savings from this optimization are NOT visible in transaction "consumed CU"
metrics, which only show execution CU. The 16k CU loaded accounts overhead is counted
separately for transaction priority/cost calculation. This makes the real impact hard
to measure directly, but it improves priority.
Reference: https://www.anza.xyz/blog/cu-optimization-with-setloadedaccountsdatasizelimit
"""
import asyncio
import base64
import hashlib
import json
import os
import struct
import base58
import websockets
from construct import Flag, Int64ul, Struct
from solana.rpc.async_api import AsyncClient
from solana.rpc.commitment import Confirmed
from solana.rpc.types import TxOpts
from solders.compute_budget import set_compute_unit_price
from solders.instruction import AccountMeta, Instruction
from solders.keypair import Keypair
from solders.message import Message
from solders.pubkey import Pubkey
from solders.transaction import Transaction, VersionedTransaction
from spl.token.instructions import (
create_idempotent_associated_token_account,
get_associated_token_address,
)
# Discriminators
EXPECTED_DISCRIMINATOR = struct.pack("<Q", 6966180631402821399)
TOKEN_DECIMALS = 6
# Global constants
PUMP_PROGRAM = Pubkey.from_string("6EF8rrecthR5Dkzon8Nwu78hRvfCKubJ14M5uBEwF6P")
PUMP_GLOBAL = Pubkey.from_string("4wTV1YmiEkRvAtNtsSGPtUrqRYQMe5SKy2uB4Jjaxnjf")
PUMP_EVENT_AUTHORITY = Pubkey.from_string(
"Ce6TQqeHC9p8KetsN6JsjHK7UTZk7nasjjnr7XxXp9F1"
)
PUMP_FEE = Pubkey.from_string("CebN5WGQ4jvEPvsVU4EoHEpgzq1VV7AbicfhtW4xC9iM")
PUMP_FEE_PROGRAM = Pubkey.from_string("pfeeUxB6jkeY1Hxd7CsFCAjcbHA9rWtchMGdZ6VojVZ")
SYSTEM_PROGRAM = Pubkey.from_string("11111111111111111111111111111111")
SYSTEM_TOKEN_PROGRAM = Pubkey.from_string("TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA")
TOKEN_2022_PROGRAM = Pubkey.from_string("TokenzQdBNbLqP5VEhdkAS6EPFLC1PHnBqCXEpPxuEb")
SYSTEM_ASSOCIATED_TOKEN_ACCOUNT_PROGRAM = Pubkey.from_string(
"ATokenGPvbdGVxr1b2hvZbsiqW5xWH25efTNsLJA8knL"
)
SOL = Pubkey.from_string("So11111111111111111111111111111111111111112")
LAMPORTS_PER_SOL = 1_000_000_000
COMPUTE_BUDGET_PROGRAM = Pubkey.from_string(
"ComputeBudget111111111111111111111111111111"
)
RPC_ENDPOINT = os.environ.get("SOLANA_NODE_RPC_ENDPOINT")
RPC_WEBSOCKET = os.environ.get("SOLANA_NODE_WSS_ENDPOINT")
class BondingCurveState:
"""Bonding curve state parser with progressive field parsing.
Parses bonding curve account data progressively based on available bytes,
making it forward-compatible with future schema versions.
"""
# Base struct present in all versions
_BASE_STRUCT = Struct(
"virtual_token_reserves" / Int64ul,
"virtual_sol_reserves" / Int64ul,
"real_token_reserves" / Int64ul,
"real_sol_reserves" / Int64ul,
"token_total_supply" / Int64ul,
"complete" / Flag,
)
def __init__(self, data: bytes) -> None:
"""Parse bonding curve data progressively based on available bytes.
Args:
data: Raw account data including discriminator
Raises:
ValueError: If discriminator is invalid or data is too short
"""
if len(data) < 8:
raise ValueError("Data too short to contain discriminator")
if data[:8] != EXPECTED_DISCRIMINATOR:
raise ValueError("Invalid curve state discriminator")
# Parse base fields (always present)
offset = 8
base_data = data[offset:]
parsed = self._BASE_STRUCT.parse(base_data)
self.__dict__.update(parsed)
# Calculate offset after base struct
offset += self._BASE_STRUCT.sizeof()
# Parse creator if bytes remaining (added in V2)
if len(data) >= offset + 32:
creator_bytes = data[offset : offset + 32]
self.creator = Pubkey.from_bytes(creator_bytes)
offset += 32
else:
self.creator = None
# Parse mayhem mode flag if bytes remaining (added in V3)
if len(data) >= offset + 1:
self.is_mayhem_mode = bool(data[offset])
else:
self.is_mayhem_mode = False
async def get_pump_curve_state(
conn: AsyncClient, curve_address: Pubkey
) -> BondingCurveState:
response = await conn.get_account_info(curve_address, encoding="base64")
if not response.value or not response.value.data:
raise ValueError("Invalid curve state: No data")
data = response.value.data
if data[:8] != EXPECTED_DISCRIMINATOR:
raise ValueError("Invalid curve state discriminator")
return BondingCurveState(data)
def calculate_pump_curve_price(curve_state: BondingCurveState) -> float:
if curve_state.virtual_token_reserves <= 0 or curve_state.virtual_sol_reserves <= 0:
raise ValueError("Invalid reserve state")
return (curve_state.virtual_sol_reserves / LAMPORTS_PER_SOL) / (
curve_state.virtual_token_reserves / 10**TOKEN_DECIMALS
)
def _find_creator_vault(creator: Pubkey) -> Pubkey:
derived_address, _ = Pubkey.find_program_address(
[b"creator-vault", bytes(creator)],
PUMP_PROGRAM,
)
return derived_address
def _find_global_volume_accumulator() -> Pubkey:
derived_address, _ = Pubkey.find_program_address(
[b"global_volume_accumulator"],
PUMP_PROGRAM,
)
return derived_address
def _find_user_volume_accumulator(user: Pubkey) -> Pubkey:
derived_address, _ = Pubkey.find_program_address(
[b"user_volume_accumulator", bytes(user)],
PUMP_PROGRAM,
)
return derived_address
def _find_fee_config() -> Pubkey:
derived_address, _ = Pubkey.find_program_address(
[b"fee_config", bytes(PUMP_PROGRAM)],
PUMP_FEE_PROGRAM,
)
return derived_address
def _find_bonding_curve_v2(mint: Pubkey) -> Pubkey:
derived_address, _ = Pubkey.find_program_address(
[b"bonding-curve-v2", bytes(mint)],
PUMP_PROGRAM,
)
return derived_address
async def get_fee_recipient(
client: AsyncClient, curve_state: BondingCurveState
) -> Pubkey:
"""Determine the correct fee recipient based on mayhem mode.
Mayhem mode tokens use a different fee recipient (reserved_fee_recipient from Global account)
instead of the standard fee recipient. This function checks the bonding curve state
and returns the appropriate fee recipient.
Args:
client: Solana RPC client to fetch Global account data
curve_state: Parsed bonding curve state containing is_mayhem_mode flag
Returns:
Appropriate fee recipient pubkey (mayhem or standard)
"""
if not curve_state.is_mayhem_mode:
return PUMP_FEE
# Fetch Global account to get reserved_fee_recipient for mayhem mode tokens
response = await client.get_account_info(PUMP_GLOBAL, encoding="base64")
if not response.value or not response.value.data:
# Fallback to standard fee if Global account cannot be fetched
return PUMP_FEE
data = response.value.data
# Parse reserved_fee_recipient from Global account
# Offset calculation based on pump_fun_idl.json Global struct:
# discriminator(8) + initialized(1) + authority(32) + fee_recipient(32) +
# initial_virtual_token_reserves(8) + initial_virtual_sol_reserves(8) +
# initial_real_token_reserves(8) + token_total_supply(8) + fee_basis_points(8) +
# withdraw_authority(32) + enable_migrate(1) + pool_migration_fee(8) +
# creator_fee_basis_points(8) + fee_recipients[7](224) + set_creator_authority(32) +
# admin_set_creator_authority(32) + create_v2_enabled(1) + whitelist_pda(32) = 483
RESERVED_FEE_RECIPIENT_OFFSET = 483
if len(data) < RESERVED_FEE_RECIPIENT_OFFSET + 32:
# Fallback if account data is too short
return PUMP_FEE
reserved_fee_recipient_bytes = data[
RESERVED_FEE_RECIPIENT_OFFSET : RESERVED_FEE_RECIPIENT_OFFSET + 32
]
return Pubkey.from_bytes(reserved_fee_recipient_bytes)
def set_loaded_accounts_data_size_limit(bytes_limit: int) -> Instruction:
"""
Create SetLoadedAccountsDataSizeLimit instruction to reduce CU consumption.
Solana defaults to 64MB loaded data limit (16k CU cost: 8 CU per 32KB).
By setting a lower limit, you reduce CU consumption and improve tx priority.
Args:
bytes_limit: Max account data size in bytes (e.g., 512_000 = 512KB)
Returns:
Compute Budget instruction (discriminator 4)
"""
data = struct.pack("<BI", 4, bytes_limit)
return Instruction(COMPUTE_BUDGET_PROGRAM, data, [])
async def buy_token(
mint: Pubkey,
bonding_curve: Pubkey,
associated_bonding_curve: Pubkey,
creator_vault: Pubkey,
token_program: Pubkey,
amount: float,
slippage: float = 0.25,
max_retries=5,
):
private_key = base58.b58decode(os.environ.get("SOLANA_PRIVATE_KEY"))
payer = Keypair.from_bytes(private_key)
async with AsyncClient(RPC_ENDPOINT) as client:
associated_token_account = get_associated_token_address(
payer.pubkey(), mint, token_program_id=token_program
)
amount_lamports = int(amount * LAMPORTS_PER_SOL)
# Fetch bonding curve state to calculate price and determine fee recipient
curve_state = await get_pump_curve_state(client, bonding_curve)
token_price_sol = calculate_pump_curve_price(curve_state)
token_amount = amount / token_price_sol
# Calculate maximum SOL to spend with slippage
max_amount_lamports = int(amount_lamports * (1 + slippage))
# Determine fee recipient based on whether token uses mayhem mode
fee_recipient = await get_fee_recipient(client, curve_state)
accounts = [
AccountMeta(pubkey=PUMP_GLOBAL, is_signer=False, is_writable=False),
AccountMeta(pubkey=fee_recipient, is_signer=False, is_writable=True),
AccountMeta(pubkey=mint, is_signer=False, is_writable=False),
AccountMeta(pubkey=bonding_curve, is_signer=False, is_writable=True),
AccountMeta(
pubkey=associated_bonding_curve,
is_signer=False,
is_writable=True,
),
AccountMeta(
pubkey=associated_token_account,
is_signer=False,
is_writable=True,
),
AccountMeta(pubkey=payer.pubkey(), is_signer=True, is_writable=True),
AccountMeta(pubkey=SYSTEM_PROGRAM, is_signer=False, is_writable=False),
AccountMeta(pubkey=token_program, is_signer=False, is_writable=False),
AccountMeta(pubkey=creator_vault, is_signer=False, is_writable=True),
AccountMeta(
pubkey=PUMP_EVENT_AUTHORITY, is_signer=False, is_writable=False
),
AccountMeta(pubkey=PUMP_PROGRAM, is_signer=False, is_writable=False),
AccountMeta(
pubkey=_find_global_volume_accumulator(),
is_signer=False,
is_writable=False,
),
AccountMeta(
pubkey=_find_user_volume_accumulator(payer.pubkey()),
is_signer=False,
is_writable=True,
),
# Index 14: fee_config (readonly)
AccountMeta(
pubkey=_find_fee_config(),
is_signer=False,
is_writable=False,
),
# Index 15: fee_program (readonly)
AccountMeta(
pubkey=PUMP_FEE_PROGRAM,
is_signer=False,
is_writable=False,
),
# Remaining account: bonding_curve_v2 (readonly, required for all coins)
AccountMeta(
pubkey=_find_bonding_curve_v2(mint),
is_signer=False,
is_writable=False,
),
]
discriminator = struct.pack("<Q", 16927863322537952870)
data = (
discriminator
+ struct.pack("<Q", int(token_amount * 10**6))
+ struct.pack("<Q", max_amount_lamports)
+ struct.pack("<B", 1) # track_volume: 1 = true (enable volume tracking)
)
buy_ix = Instruction(PUMP_PROGRAM, data, accounts)
idempotent_ata_ix = create_idempotent_associated_token_account(
payer.pubkey(), payer.pubkey(), mint, token_program_id=token_program
)
# CU OPTIMIZATION: Limit account data to 512KB (down from 64MB default)
# This reduces CU cost from 16k to ~128 CU and improves tx priority.
# Must be placed FIRST in the instruction list.
cu_limit_ix = set_loaded_accounts_data_size_limit(512_000)
msg = Message(
[cu_limit_ix, set_compute_unit_price(1_000), idempotent_ata_ix, buy_ix],
payer.pubkey(),
)
recent_blockhash = await client.get_latest_blockhash()
opts = TxOpts(skip_preflight=True, preflight_commitment=Confirmed)
for attempt in range(max_retries):
try:
tx_buy = await client.send_transaction(
Transaction(
[payer],
msg,
recent_blockhash.value.blockhash,
),
opts=opts,
)
tx_hash = tx_buy.value
print(f"Transaction sent: https://explorer.solana.com/tx/{tx_hash}")
await client.confirm_transaction(
tx_hash, commitment="confirmed", sleep_seconds=1
)
print("Transaction confirmed")
return # Success, exit the function
except Exception as e:
print(f"Attempt {attempt + 1} failed: {str(e)[:50]}")
if attempt < max_retries - 1:
wait_time = 2**attempt
print(f"Retrying in {wait_time} seconds...")
await asyncio.sleep(wait_time)
else:
print("Max retries reached. Unable to complete the transaction.")
def load_idl(file_path):
with open(file_path) as f:
return json.load(f)
def calculate_discriminator(instruction_name):
sha = hashlib.sha256()
sha.update(instruction_name.encode("utf-8"))
return struct.unpack("<Q", sha.digest()[:8])[0]
def decode_create_instruction(ix_data, ix_def, accounts):
"""Decode create instruction from transaction data."""
args = {}
offset = 8
for arg in ix_def["args"]:
if arg["type"] == "string":
length = struct.unpack_from("<I", ix_data, offset)[0]
offset += 4
value = ix_data[offset : offset + length].decode("utf-8")
offset += length
elif arg["type"] == "pubkey":
value = base58.b58encode(ix_data[offset : offset + 32]).decode("utf-8")
offset += 32
else:
raise ValueError(f"Unsupported type: {arg['type']}")
args[arg["name"]] = value
args["mint"] = str(accounts[0])
args["bondingCurve"] = str(accounts[2])
args["associatedBondingCurve"] = str(accounts[3])
args["user"] = str(accounts[7])
return args
async def listen_for_create_transaction():
"""Listen for new token creation on pump.fun."""
idl_path = os.path.join(os.path.dirname(__file__), "..", "idl", "pump_fun_idl.json")
idl = load_idl(idl_path)
create_discriminator = calculate_discriminator("global:create")
create_v2_discriminator = calculate_discriminator("global:create_v2")
async with websockets.connect(RPC_WEBSOCKET) as websocket:
subscription_message = json.dumps(
{
"jsonrpc": "2.0",
"id": 1,
"method": "blockSubscribe",
"params": [
{"mentionsAccountOrProgram": str(PUMP_PROGRAM)},
{
"commitment": "confirmed",
"encoding": "base64",
"showRewards": False,
"transactionDetails": "full",
"maxSupportedTransactionVersion": 0,
},
],
}
)
await websocket.send(subscription_message)
print(f"Subscribed to blocks mentioning program: {PUMP_PROGRAM}")
while True:
response = await websocket.recv()
data = json.loads(response)
if "method" in data and data["method"] == "blockNotification":
if "params" in data and "result" in data["params"]:
block_data = data["params"]["result"]
if "value" in block_data and "block" in block_data["value"]:
block = block_data["value"]["block"]
if "transactions" in block:
for tx in block["transactions"]:
if isinstance(tx, dict) and "transaction" in tx:
tx_data_decoded = base64.b64decode(
tx["transaction"][0]
)
transaction = VersionedTransaction.from_bytes(
tx_data_decoded
)
for ix in transaction.message.instructions:
if str(
transaction.message.account_keys[
ix.program_id_index
]
) == str(PUMP_PROGRAM):
ix_data = bytes(ix.data)
discriminator = struct.unpack(
"<Q", ix_data[:8]
)[0]
# Check which create instruction was used
instruction_name = None
token_program = None
if discriminator == create_discriminator:
instruction_name = "create"
token_program = SYSTEM_TOKEN_PROGRAM
elif (
discriminator == create_v2_discriminator
):
instruction_name = "create_v2"
token_program = TOKEN_2022_PROGRAM
if instruction_name:
create_ix = next(
instr
for instr in idl["instructions"]
if instr["name"] == instruction_name
)
account_keys = [
str(
transaction.message.account_keys[
index
]
)
for index in ix.accounts
]
decoded_args = (
decode_create_instruction(
ix_data, create_ix, account_keys
)
)
# Add token program info to decoded args
decoded_args["token_program"] = str(
token_program
)
decoded_args["is_token_2022"] = (
token_program == TOKEN_2022_PROGRAM
)
return decoded_args
async def main():
print("Waiting for a new token creation...")
token_data = await listen_for_create_transaction()
print("New token created:")
print(json.dumps(token_data, indent=2))
print("\nWaiting 15 seconds for things to stabilize...")
await asyncio.sleep(15)
mint = Pubkey.from_string(token_data["mint"])
bonding_curve = Pubkey.from_string(token_data["bondingCurve"])
associated_bonding_curve = Pubkey.from_string(token_data["associatedBondingCurve"])
creator_vault = _find_creator_vault(Pubkey.from_string(token_data["creator"]))
token_program = Pubkey.from_string(token_data["token_program"])
# Fetch the token price
async with AsyncClient(RPC_ENDPOINT) as client:
curve_state = await get_pump_curve_state(client, bonding_curve)
token_price_sol = calculate_pump_curve_price(curve_state)
# Amount of SOL to spend (adjust as needed)
amount = 0.000_001 # 0.00001 SOL
slippage = 0.3 # 30% slippage tolerance
print(f"Bonding curve address: {bonding_curve}")
print(
f"Token Program: {token_program} ({'Token2022' if token_data['is_token_2022'] else 'Standard Token'})"
)
print(f"Token price: {token_price_sol:.10f} SOL")
print(
f"Buying {amount:.6f} SOL worth of the new token with {slippage * 100:.1f}% slippage tolerance..."
)
print("CU Optimization: Enabled (512KB account data limit)")
await buy_token(
mint,
bonding_curve,
associated_bonding_curve,
creator_vault,
token_program,
amount,
slippage,
)
if __name__ == "__main__":
asyncio.run(main())