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pumpfun-bonkfun-bot/learning-examples/decode_from_getAccountInfo.py
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import base64
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import json
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import struct
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from construct import Bytes, Flag, Int64ul, Struct
from solders.pubkey import Pubkey
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LAMPORTS_PER_SOL = 1_000_000_000
TOKEN_DECIMALS = 6
EXPECTED_DISCRIMINATOR = struct.pack("<Q", 6966180631402821399)
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class BondingCurveState:
_STRUCT = Struct(
"virtual_token_reserves" / Int64ul,
"virtual_sol_reserves" / Int64ul,
"real_token_reserves" / Int64ul,
"real_sol_reserves" / Int64ul,
"token_total_supply" / Int64ul,
"complete" / Flag,
"creator" / Bytes(32), # Added new creator field - 32 bytes for Pubkey
"is_mayhem_mode" / Flag, # Added mayhem mode flag - 1 byte
)
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def __init__(self, data: bytes) -> None:
"""Parse bonding curve data - supports all versions."""
if data[:8] != EXPECTED_DISCRIMINATOR:
raise ValueError("Invalid curve state discriminator")
# Required fields (always present)
offset = 8
self.virtual_token_reserves = int.from_bytes(
data[offset : offset + 8], "little"
)
offset += 8
self.virtual_sol_reserves = int.from_bytes(data[offset : offset + 8], "little")
offset += 8
self.real_token_reserves = int.from_bytes(data[offset : offset + 8], "little")
offset += 8
self.real_sol_reserves = int.from_bytes(data[offset : offset + 8], "little")
offset += 8
self.token_total_supply = int.from_bytes(data[offset : offset + 8], "little")
offset += 8
self.complete = bool(data[offset])
offset += 1
# Optional fields (may not be present in older versions)
if len(data) >= offset + 32:
self.creator = Pubkey.from_bytes(data[offset : offset + 32])
offset += 32
if len(data) > offset:
self.is_mayhem_mode = bool(data[offset])
offset += 1
else:
self.is_mayhem_mode = None
if len(data) > offset:
self.is_cashback_coin = bool(data[offset])
else:
self.is_cashback_coin = None
else:
self.creator = None
self.is_mayhem_mode = None
self.is_cashback_coin = None
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def calculate_bonding_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")
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return (curve_state.virtual_sol_reserves / LAMPORTS_PER_SOL) / (
curve_state.virtual_token_reserves / 10**TOKEN_DECIMALS
)
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def decode_bonding_curve_data(raw_data: str) -> BondingCurveState:
decoded_data = base64.b64decode(raw_data)
if decoded_data[:8] != EXPECTED_DISCRIMINATOR:
raise ValueError("Invalid curve state discriminator")
return BondingCurveState(decoded_data)
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# Load the JSON data
with open("learning-examples/raw_bondingCurve_from_getAccountInfo.json") as file:
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json_data = json.load(file)
# Extract the base64 encoded data
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encoded_data = json_data["result"]["value"]["data"][0]
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# Decode the data
bonding_curve_state = decode_bonding_curve_data(encoded_data)
# Calculate and print the token price
token_price_sol = calculate_bonding_curve_price(bonding_curve_state)
print("Bonding Curve State:")
print(f" Virtual Token Reserves: {bonding_curve_state.virtual_token_reserves}")
print(f" Virtual SOL Reserves: {bonding_curve_state.virtual_sol_reserves}")
print(f" Real Token Reserves: {bonding_curve_state.real_token_reserves}")
print(f" Real SOL Reserves: {bonding_curve_state.real_sol_reserves}")
print(f" Token Total Supply: {bonding_curve_state.token_total_supply}")
print(f" Complete: {bonding_curve_state.complete}")
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print(f"\nToken Price: {token_price_sol:.10f} SOL")