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fix(learning-examples): repair crashing listeners and decoders, prune obsolete paths, unify naming (#181)
Audited every script in learning-examples/ against mainnet. Broken — found by running them, all invisible offline: - listen_geyser.py crashed with IndexError after ~11 coins: it never resolved v0 address-lookup-table accounts, which geyser reports in meta.loaded_writable_addresses / loaded_readonly_addresses. Resolving them removes the crash and brings detections level with the WebSocket listeners, 35 coins each per 150 s. - compare_listeners.py logged 13,090,862 error lines / 888 MB in 150 s and never printed its own 30-second report: the inner recv() loop caught ConnectionClosed in a broad handler that only logged, so every following recv() raised at once and the outer reconnect handler was unreachable. Now 12 KB and exit 0. Same shape fixed in compare_migration_listeners.py, listen_blocksubscribe.py and extract_blocksubscribe_transactions.py; the last two also gained the reconnect loop their siblings already had. - decode_from_gettransaction.py matched instructions on account count instead of discriminator, reporting a real 19-account create_v2 as claim_cashback with every account under the wrong name. It also walked only top-level instructions, and in 40 consecutive pump.fun transactions there was 1 top-level pump instruction against 8 inner ones. - decode_from_blocksubscribe.py crashed on every real create_v2: on chain the trailing args are variable length, 0001 in one tx and 00 in another, so is_cashback_enabled can be absent entirely. - poll_bonding_curve_progress.py polled a hardcoded dead mint and took no argv. Obsolete: - Delete listen_blocksubscribe_old_raydium.py. Seven minutes on mainnet produced 0 initialize2 events while the wrapper listener caught 3 real migrations. - Delete the duplicate geyser stubs and protos under listen-new-tokens/. The protos were byte-identical to src/geyser/proto and the stubs had drifted; both geyser examples now import src.geyser.generated. - Recapture all four fixtures. The old ones were from Aug 2024 and included a 49-byte pre-creator bonding curve. Behind the protocol: - fetch_price.py, get_bonding_curve_status.py, poll_bonding_curve_progress.py and decode_from_getaccountinfo.py never read quote_mint and scaled by a hardcoded 1e9. Against a live USDC-paired curve the price was off by 1000x. - get_pumpswap_pools.py stopped parsing at coin_creator and missed the i128 virtual_quote_reserves. Live pools carry 17.5845 SOL of them, which under-prices by 3.5-23.9% when ignored. Duplication and naming: - Merge manual_buy_cu_optimized.py into manual_buy.py --cu-optimized. The deleted file's docstring said 512 KB while its code used 16 MB; simulation confirms 512 KB and 4 MB both fail MaxLoadedAccountsDataSizeExceeded on Token-2022 mints, so 16 MB is the correct value. - Merge listen_logsubscribe_abc.py into listen_logsubscribe.py. Its ATA derivation hardcoded the legacy token program, so every Associated BC it printed for a Token2022 coin was an address that does not exist on chain. Fixed on merge and cross-checked 59/59 against on-chain accounts. - Remove 19 dead symbols. BREAKING_FEE_RECIPIENTS is still live in the PumpSwap scripts and stays there. - Normalize naming: kebab-case directories, RPC method names as one lowercase token, scripts verb-first. Rules documented in CLAUDE.md. get_graduating_tokens.py is knowingly left broken: getProgramAccounts over the whole pump program is now rejected by providers and it needs a getProgramAccountsV2 rewrite, which belongs in its own PR. Verified: both offline gates pass, all 41 examples parse, every read-only script exercised on mainnet against SOL- and USDC-paired coins, no new ruff findings (427 -> 413). No script that spends real funds was run. Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -1,105 +0,0 @@
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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
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from solders.pubkey import Pubkey
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LAMPORTS_PER_SOL = 1_000_000_000
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TOKEN_DECIMALS = 6
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EXPECTED_DISCRIMINATOR = struct.pack("<Q", 6966180631402821399)
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class BondingCurveState:
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_STRUCT = Struct(
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"virtual_token_reserves" / Int64ul,
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"virtual_sol_reserves" / Int64ul,
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"real_token_reserves" / Int64ul,
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"real_sol_reserves" / Int64ul,
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"token_total_supply" / Int64ul,
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"complete" / Flag,
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"creator" / Bytes(32), # Added new creator field - 32 bytes for Pubkey
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"is_mayhem_mode" / Flag, # Added mayhem mode flag - 1 byte
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)
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def __init__(self, data: bytes) -> None:
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"""Parse bonding curve data - supports all versions."""
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if data[:8] != EXPECTED_DISCRIMINATOR:
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raise ValueError("Invalid curve state discriminator")
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# Required fields (always present)
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offset = 8
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self.virtual_token_reserves = int.from_bytes(
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data[offset : offset + 8], "little"
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)
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offset += 8
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self.virtual_sol_reserves = int.from_bytes(data[offset : offset + 8], "little")
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offset += 8
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self.real_token_reserves = int.from_bytes(data[offset : offset + 8], "little")
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offset += 8
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self.real_sol_reserves = int.from_bytes(data[offset : offset + 8], "little")
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offset += 8
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self.token_total_supply = int.from_bytes(data[offset : offset + 8], "little")
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offset += 8
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self.complete = bool(data[offset])
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offset += 1
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# Optional fields (may not be present in older versions)
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if len(data) >= offset + 32:
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self.creator = Pubkey.from_bytes(data[offset : offset + 32])
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offset += 32
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if len(data) > offset:
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self.is_mayhem_mode = bool(data[offset])
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offset += 1
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else:
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self.is_mayhem_mode = None
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if len(data) > offset:
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self.is_cashback_coin = bool(data[offset])
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else:
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self.is_cashback_coin = None
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else:
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self.creator = None
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self.is_mayhem_mode = None
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self.is_cashback_coin = None
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def calculate_bonding_curve_price(curve_state: BondingCurveState) -> float:
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if curve_state.virtual_token_reserves <= 0 or curve_state.virtual_sol_reserves <= 0:
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raise ValueError("Invalid reserve state")
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return (curve_state.virtual_sol_reserves / LAMPORTS_PER_SOL) / (
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curve_state.virtual_token_reserves / 10**TOKEN_DECIMALS
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)
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def decode_bonding_curve_data(raw_data: str) -> BondingCurveState:
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decoded_data = base64.b64decode(raw_data)
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if decoded_data[:8] != EXPECTED_DISCRIMINATOR:
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raise ValueError("Invalid curve state discriminator")
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return BondingCurveState(decoded_data)
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# Load the JSON data
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with open("learning-examples/raw_bondingCurve_from_getAccountInfo.json") as file:
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json_data = json.load(file)
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# Extract the base64 encoded data
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encoded_data = json_data["result"]["value"]["data"][0]
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# Decode the data
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bonding_curve_state = decode_bonding_curve_data(encoded_data)
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# Calculate and print the token price
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token_price_sol = calculate_bonding_curve_price(bonding_curve_state)
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print("Bonding Curve State:")
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print(f" Virtual Token Reserves: {bonding_curve_state.virtual_token_reserves}")
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print(f" Virtual SOL Reserves: {bonding_curve_state.virtual_sol_reserves}")
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print(f" Real Token Reserves: {bonding_curve_state.real_token_reserves}")
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print(f" Real SOL Reserves: {bonding_curve_state.real_sol_reserves}")
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print(f" Token Total Supply: {bonding_curve_state.token_total_supply}")
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print(f" Complete: {bonding_curve_state.complete}")
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print(f"\nToken Price: {token_price_sol:.10f} SOL")
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