mirror of
https://github.com/bohd4nx/FragmentAPI.git
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bohd4nx
5dc3cddf1a
- clean_decode now uses Cell.one_from_boc + load_snake_string - no more regex/string hacks, native BOC parsing - added full transaction_data debug log in process_transaction
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import base64
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import logging
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from pytoniq_core import Cell
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logger = logging.getLogger(__name__)
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# OLD decoder (manual base64 + regex, kept for reference):
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#
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# import re, string
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# def clean_decode(payload: str) -> str:
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# s = re.sub(r'[^A-Za-z0-9+/=]', '', payload.strip())
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# s += '=' * (-len(s) % 4)
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# text = base64.b64decode(s).decode('utf-8', errors='ignore')
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# text = ''.join(c for c in text if c in string.printable or c.isspace())
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# match = re.search(r'([0-9]*\s*Telegram .*?Ref#[A-Za-z0-9]+)', text, re.S)
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# return match.group(1).strip() if match else text.strip()
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def clean_decode(payload: str) -> str:
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logger.debug("Original payload: %s", payload)
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# Pad and decode base64 → BOC bytes
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s = payload.strip()
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if not s:
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return ""
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s += "=" * (-len(s) % 4)
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boc = base64.b64decode(s)
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# Parse BOC cell and read snake-encoded text (skipping 32-bit op prefix)
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cell = Cell.one_from_boc(boc)
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sl = cell.begin_parse()
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sl.load_uint(32) # op code — always 0 for text comment
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result = sl.load_snake_string().strip()
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logger.debug("Decoded result: %s", result)
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return result
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