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Dealing with duplicate hashes

If there is a mismatch between when the originator VASP appends the transaction hash to the travel rule message they have already sent and when you call txNotify, you might end up with two travel rule messages where the transaction hash is the same for both, but the status is different. Usually, one would be INCOMPLETE while the other is SENT, ACK or ACCEPTED.


If you want to clean up these INCOMPLETE ones, you can follow the steps below:

  1. Make sure you are consuming the notification.transactionUpdated webhook on your side to create a database of incoming TR messages.
  2. Create a script that identifies and extracts duplicate transaction hashes from that database.
  3. Use a similar script to the ones below to confirm that they are duplicates. You can either call the API to fetch the details for the records or directly use the data in your transactionUpdated database to compare the fields.
  4. If duplicates are found, cancel them by calling the txCancel API.

Compare using API

#!/usr/bin/env python3


import os
import sys
import json
import time
import argparse
import logging
import requests

TARGET_OK_STATUSES = {"SENT","ACK","ACCEPTED"}

def setup_logging(verbose=False):
    level = logging.DEBUG if verbose else logging.INFO
    logging.basicConfig(
        level=level,
        format="%(asctime)s [%(levelname)s] %(message)s",
        datefmt="%Y-%m-%d %H:%M:%S",
    )

def env(name, default=None):
    val = os.environ.get(name)
    return val if val is not None and val != "" else default

API_BASE = env("NOTABENE_API_BASE", "https://api.notabene.dev")
VASP_DID = env("NOTABENE_VASP_DID", "did:ethr:0xd4bd902ec78578f33a20ff601504d2ab324cfab9")
TOKEN = env("NOTABENE_API_TOKEN")

def require_token():
    if not TOKEN:
        raise SystemExit("NOTABENE_API_TOKEN is not set. Export it before running.")

def api_get(path, params):
    url = f"{API_BASE}{path}"
    headers = {"Authorization": f"Bearer {TOKEN}"}
    logging.debug("GET %s params=%s", url, params)
    r = requests.get(url, headers=headers, params=params, timeout=30)
    if r.status_code != 200:
        logging.error("GET %s failed: %s %s", url, r.status_code, r.text)
        raise RuntimeError(f"GET {url} failed: {r.status_code} {r.text}")
    return r.json()

def api_post(path, body):
    url = f"{API_BASE}{path}"
    headers = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}
    logging.debug("POST %s body=%s", url, body)
    r = requests.post(url, headers=headers, json=body, timeout=30)
    return r.status_code, r.text

def paginate_tx_list(q_hash, results_per_page=50, page_start=0, max_pages=50, sleep_sec=0.0):
    """Yield all transactions matching a given q hash, across pages."""
    page = page_start
    total_pages = None
    while True:
        params = {
            "vaspDID": VASP_DID,
            "resultsPerPage": results_per_page,
            "page": page,
            "q": q_hash,
            "sort": "updatedAt:DESC",
        }
        data = api_get("/tx/list", params)
        txs = data.get("transactions") or []
        logging.info("Fetched %d transactions for hash %s (page %d)", len(txs), q_hash, page)
        for t in txs:
            yield t
        if total_pages is None:
            total_pages = int(data.get("paginateInfo", {}).get("totalPages", 1))
        page += 1
        if page >= total_pages or page - page_start >= max_pages:
            break
        if sleep_sec > 0:
            time.sleep(sleep_sec)

def extract_fields(tx):
    asset = (tx.get("transactionAsset") or "").strip()
    amount = str(tx.get("transactionAmount") or "").strip()
    bc = tx.get("transactionBlockchainInfo") or {}
    txhash = (bc.get("txHash") or "").strip()
    dest = (bc.get("destination") or "").strip()
    status = (tx.get("status") or "").strip().upper()
    tid = tx.get("id")
    updated_at = tx.get("updatedAt")
    return {
        "id": tid,
        "status": status,
        "asset": asset,
        "amount": amount,
        "txHash": txhash,
        "destination": dest,
        "updatedAt": updated_at,
        "raw": tx,
    }

def same_key(a, b):
    return (
        a["asset"] == b["asset"] and
        a["amount"] == b["amount"] and
        a["txHash"] == b["txHash"] and
        a["destination"] == b["destination"]
    )

def cancel_tx(incomplete_id, other_id, dry_run=False):
    body = {
        "id": incomplete_id,
        "reason": f"This is a duplicate of {other_id}",
    }
    if dry_run:
        logging.info("[DRY-RUN] Would POST /tx/cancel %s", body)
        return 200, "DRY-RUN"
    status, text = api_post("/tx/cancel", body)
    if 200 <= status < 300:
        logging.info("[OK] Cancelled %s (duplicate of %s)", incomplete_id, other_id)
    else:
        logging.error("[ERROR] Cancel %s failed: HTTP %s %s", incomplete_id, status, text)
    return status, text

def process_hash(q_hash, dry_run=False):
    logging.info("Processing hash %s", q_hash)
    txs = [extract_fields(t) for t in paginate_tx_list(q_hash)]
    txs = [t for t in txs if t["txHash"] == q_hash]
    logging.debug("After filtering exact txHash, %d remain", len(txs))
    if len(txs) <= 1:
        logging.info("Hash %s: %d match(es) -> nothing to do.", q_hash, len(txs))
        return

    incompletes = [t for t in txs if t["status"] == "INCOMPLETE"]
    others = [t for t in txs if t["status"] in TARGET_OK_STATUSES]

    logging.info("Hash %s: %d INCOMPLETE, %d others", q_hash, len(incompletes), len(others))

    others_sorted = sorted(others, key=lambda x: (x["updatedAt"] or ""), reverse=True)

    if not incompletes or not others_sorted:
        logging.info("Hash %s: no INCOMPLETE/eligible counterpart. Skipping.", q_hash)
        return

    for inc in incompletes:
        counterpart = next((o for o in others_sorted if same_key(inc, o)), None)
        if counterpart:
            logging.debug("INCOMPLETE %s matches counterpart %s", inc["id"], counterpart["id"])
            cancel_tx(inc["id"], counterpart["id"], dry_run=dry_run)
        else:
            logging.info("Hash %s: INCOMPLETE %s has no exact matching counterpart.", q_hash, inc['id'])

def main():
    ap = argparse.ArgumentParser()
    ap.add_argument("--hashes", nargs="*", help="List of blockchain tx hashes to check")
    ap.add_argument("--hash-file", help="File with one hash per line")
    ap.add_argument("--dry-run", action="store_true", help="Don't call txCancel; just log actions")
    ap.add_argument("-v","--verbose", action="store_true", help="Verbose (debug) logging")
    args = ap.parse_args()

    setup_logging(args.verbose)

    require_token()

    hashes = []
    if args.hashes:
        hashes.extend(args.hashes)
    if args.hash_file:
        with open(args.hash_file, "r", encoding="utf-8") as f:
            for line in f:
                line = line.strip()
                if line:
                    hashes.append(line)
    if not hashes:
        logging.error("Provide --hashes ... or --hash-file path")
        sys.exit(1)

    for h in hashes:
        try:
            process_hash(h, dry_run=args.dry_run)
        except Exception as e:
            logging.exception("Error processing hash %s", h)

if __name__ == "__main__":
    main()

Run command:

$env:NOTABENE_API_TOKEN = "eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6IklkYzY4WTU5NU9xVDZuaTA3SHYzYiJ9..."
python hash_check_and_cancel_with_logging.py --hash-file hashes.txt --dry-run



Compare using database

#!/usr/bin/env python3
"""

Given:
  - A CSV "database" containing transactions with fields similar to:
      id, status, transactionAsset, transactionAmount, transactionBlockchainInfo.txHash,
      transactionBlockchainInfo.destination, updatedAt (names can vary)
  - A list of blockchain hashes (via --hashes or --hash-file)

For each hash:
  - Look up rows in the CSV where txHash == <hash>
  - If more than one row matches:
      * Compare (transactionAsset, transactionAmount, txHash, destination)
      * If an INCOMPLETE row has an exact counterpart with status in {"SENT","ACK","ACCEPTED"},
        call txCancel on the INCOMPLETE row with reason "This is a duplicate of <OTHER_ID>".

Features:
  - Column auto-detection with overrides
  - Case-insensitive comparison for destination
  - Logging and --dry-run
  - Env vars:
        NOTABENE_API_TOKEN  (Bearer token; required unless --dry-run)
        NOTABENE_API_BASE   (default: https://api.notabene.dev)

Usage:
  python hash_check_from_db_and_cancel.py --csv path/to/db.csv --hashes 0xabc 0xdef --dry-run -v
  python hash_check_from_db_and_cancel.py --csv path/to/db.csv --hash-file hashes.txt

Column overrides (if your headers differ):
  --db-id idcol --db-status statuscol --db-asset assetcol --db-amount amountcol
  --db-hash hashcol --db-destination destcol --db-updated updatedAtCol
"""
import os
import sys
import argparse
import logging
import json
import pandas as pd
import requests

TARGET_OK_STATUSES = {"SENT","ACK","ACCEPTED"}

def setup_logging(verbose=False):
    level = logging.DEBUG if verbose else logging.INFO
    logging.basicConfig(
        level=level,
        format="%(asctime)s [%(levelname)s] %(message)s",
        datefmt="%Y-%m-%d %H:%M:%S",
    )

def env(name, default=None):
    val = os.environ.get(name)
    return val if val is not None and val != "" else default

API_BASE = env("NOTABENE_API_BASE", "https://api.notabene.dev")
TOKEN = env("NOTABENE_API_TOKEN")

def require_token(dry_run=False):
    if dry_run:
        return
    if not TOKEN:
        raise SystemExit("NOTABENE_API_TOKEN is not set. Export it or use --dry-run.")

def api_post(path, body):
    url = f"{API_BASE}{path}"
    headers = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}
    logging.debug("POST %s body=%s", url, body)
    r = requests.post(url, headers=headers, json=body, timeout=30)
    return r.status_code, r.text

# ---------- Column handling ----------
def pick_col(cands, cols):
    """Pick a column name from 'cols' given a list of candidate names or substrings (case-insensitive)."""
    lower_map = {c.lower(): c for c in cols}
    # exact matches
    for c in cands:
        if c.lower() in lower_map:
            return lower_map[c.lower()]
    # substring matches
    for col in cols:
        lc = col.lower()
        for c in cands:
            if c.lower() in lc:
                return col
    return None

def infer_columns(df, overrides):
    cols = list(df.columns)
    # support dotted paths in CSV (e.g., transactionBlockchainInfo.txHash)
    id_col  = overrides.get("id") or pick_col(["id","tx_id","transaction_id","uuid"], cols)
    status_col = overrides.get("status") or pick_col(["status","tx_status","transaction_status"], cols)
    asset_col  = overrides.get("asset") or pick_col(["transactionAsset","asset","symbol","currency"], cols)
    amount_col = overrides.get("amount") or pick_col(["transactionAmount","amount","value"], cols)
    hash_col   = overrides.get("hash") or pick_col(["transactionblockchaininfo.txhash","txhash","hash","blockchain_hash"], cols)
    dest_col   = overrides.get("destination") or pick_col(["transactionblockchaininfo.destination","destination","to","beneficiary","dest_address"], cols)
    updated_col= overrides.get("updated") or pick_col(["updatedat","updated_at","timestamp","time","created_at","createdat"], cols)

    required = {
        "id": id_col,
        "status": status_col,
        "asset": asset_col,
        "amount": amount_col,
        "hash": hash_col,
        "destination": dest_col,
    }
    missing = [k for k,v in required.items() if v is None]
    if missing:
        raise SystemExit(f"Could not infer required columns {missing}. Available columns: {cols}. "
                         "Use --db-* overrides to specify exact names.")
    return {
        "id": id_col,
        "status": status_col,
        "asset": asset_col,
        "amount": amount_col,
        "hash": hash_col,
        "destination": dest_col,
        "updated": updated_col,  # optional
    }

# ---------- Normalization & compare ----------
def norm_dest(x):
    return str(x).strip().lower()

def same_key(a, b):
    return (
        a["asset"] == b["asset"] and
        str(a["amount"]) == str(b["amount"]) and
        a["txHash"] == b["txHash"] and
        norm_dest(a["destination"]) == norm_dest(b["destination"])
    )

def cancel_tx(incomplete_id, other_id, dry_run=False):
    body = {"id": incomplete_id, "reason": f"This is a duplicate of {other_id}"}
    if dry_run:
        logging.info("[DRY-RUN] Would POST /tx/cancel %s", body)
        return 200, "DRY-RUN"
    status, text = api_post("/tx/cancel", body)
    if 200 <= status < 300:
        logging.info("[OK] Cancelled %s (duplicate of %s)", incomplete_id, other_id)
    else:
        logging.error("[ERROR] Cancel %s failed: HTTP %s %s", incomplete_id, status, text)
    return status, text

def extract_row(row, cols):
    return {
        "id": row[cols["id"]],
        "status": str(row[cols["status"]]).strip().upper(),
        "asset": str(row[cols["asset"]]).strip(),
        "amount": row[cols["amount"]],
        "txHash": str(row[cols["hash"]]).strip(),
        "destination": str(row[cols["destination"]]).strip(),
        "updatedAt": str(row[cols["updated"]]) if cols["updated"] and cols["updated"] in row else None,
    }

def process_hash_from_df(df, q_hash, cols, dry_run=False):
    logging.info("Processing hash %s", q_hash)
    # exact filter on txHash
    sub = df[df[cols["hash"]].astype(str).str.strip() == str(q_hash).strip()].copy()
    logging.info("Hash %s: %d row(s) found in DB", q_hash, len(sub))
    if len(sub) <= 1:
        logging.info("Hash %s: nothing to do (<=1 match).", q_hash)
        return

    records = [extract_row(r, cols) for _, r in sub.iterrows()]
    incompletes = [r for r in records if r["status"] == "INCOMPLETE"]
    others = [r for r in records if r["status"] in TARGET_OK_STATUSES]

    logging.info("Hash %s: %d INCOMPLETE, %d others", q_hash, len(incompletes), len(others))
    if not incompletes or not others:
        logging.info("Hash %s: no actionable pairs.", q_hash)
        return

    # Sort others by updatedAt desc (string compare is fine for ISO; otherwise falls back to None at end)
    others_sorted = sorted(others, key=lambda x: (x["updatedAt"] or ""), reverse=True)

    for inc in incompletes:
        counterpart = next((o for o in others_sorted if same_key(inc, o)), None)
        if counterpart:
            logging.debug("INCOMPLETE %s matches counterpart %s", inc["id"], counterpart["id"])
            cancel_tx(inc["id"], counterpart["id"], dry_run=dry_run)
        else:
            logging.info("Hash %s: INCOMPLETE %s has no exact matching counterpart.", q_hash, inc["id"])

def main():
    ap = argparse.ArgumentParser()
    ap.add_argument("--csv", required=True, help="Path to the database CSV")
    ap.add_argument("--hashes", nargs="*", help="List of blockchain tx hashes to check")
    ap.add_argument("--hash-file", help="File with one hash per line")
    ap.add_argument("--dry-run", action="store_true", help="Don't call txCancel; just log actions")
    ap.add_argument("-v","--verbose", action="store_true", help="Verbose (debug) logging")
    # Overrides
    ap.add_argument("--db-id", dest="db_id")
    ap.add_argument("--db-status", dest="db_status")
    ap.add_argument("--db-asset", dest="db_asset")
    ap.add_argument("--db-amount", dest="db_amount")
    ap.add_argument("--db-hash", dest="db_hash")
    ap.add_argument("--db-destination", dest="db_destination")
    ap.add_argument("--db-updated", dest="db_updated")
    args = ap.parse_args()

    setup_logging(args.verbose)
    require_token(args.dry_run)

    # Load CSV
    df = pd.read_csv(args.csv)
    logging.info("Loaded DB CSV with %d rows and columns: %s", len(df), list(df.columns))

    overrides = {
        "id": args.db_id,
        "status": args.db_status,
        "asset": args.db_asset,
        "amount": args.db_amount,
        "hash": args.db_hash,
        "destination": args.db_destination,
        "updated": args.db_updated,
    }
    cols = infer_columns(df, overrides)
    logging.info("Using columns: %s", cols)

    # Collect hashes
    hashes = []
    if args.hashes:
        hashes.extend(args.hashes)
    if args.hash_file:
        with open(args.hash_file, "r", encoding="utf-8") as f:
            for line in f:
                line = line.strip()
                if line:
                    hashes.append(line)

    if not hashes:
        logging.error("Provide --hashes ... or --hash-file path")
        sys.exit(1)

    # Process each hash
    for h in hashes:
        try:
            process_hash_from_df(df, h, cols, dry_run=args.dry_run)
        except Exception as e:
            logging.exception("Error processing hash %s", h)

if __name__ == "__main__":
    main()

Run command:

# Set your API token (or use --dry-run to test safely)
$env:NOTABENE_API_TOKEN = "<your-bearer-token>"

# Dry run (no API calls)
python .\hash_check_from_db_and_cancel.py `
  --csv "D:\path\to\webhookDB.csv" `
  --hash-file .\hashes.txt `
  --dry-run -v

# Real run
python .\hash_check_from_db_and_cancel.py `
  --csv "D:\path\to\webhookDB.csv" `
  --hash-file .\hashes.txt -v

Samle DB:

id	transaction_asset	transaction_amount	beneficiary_vasp_did	originator_vasp_did	origin_address	destination_address	tx_hash	status	created_at	updated_at
71683b7e-41ff-4b89-8a2c-eceddf41cf7e	ETH-ETH	54325342	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0x4b9d27c388baf53c10d8dc4fdc1f2e0a7f3bb0e9	0x26F30441866De260879eEA444381F2eC7179c876	0x8f0D9acBdf8Dbeea67af639CbC995a9767e14488	0x26F30441866De260879eEA444381F2eC7179c876	INCOMPLETE	2025-08-20 2:40:12	2025-08-20 2:40:12
a61cf8af-57ea-4886-baa6-27e18b5ff54e	ETH-ETH	54325342	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0x4b9d27c388baf53c10d8dc4fdc1f2e0a7f3bb0e9	0x26F30441866De260879eEA444381F2eC7179c876	0x8f0D9acBdf8Dbeea67af639CbC995a9767e14488	0x26F30441866De260879eEA444381F2eC7179c876	SENT	2025-08-21 2:40:12	2025-08-21 2:40:12
644f5ae8-d73f-48de-8e80-7760398fdb72	ETH-ETH	11850000	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0x3f86c2b9d14a7c5590b36bd4e2f1a9d1b2c3a4d5	0xC04ebAe1B29BA89cC168b079B03caa5496915670	0x2dF9b935C44057Ac240634c7536511d8Aa03028D	0x2cf7543e4fcdf6f140e66bfd725ba6d939e6c34c3b2ef847e2d5e11671a0d233	INCOMPELTE	2025-08-22 2:40:12	2025-08-22 2:40:12
cee0c5d5-9f03-499b-8f87-b587d215d204	ETH-ETH	11850000	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0x3f86c2b9d14a7c5590b36bd4e2f1a9d1b2c3a4d5	0xC04ebAe1B29BA89cC168b079B03caa5496915670	0x2dF9b935C44057Ac240634c7536511d8Aa03028D	0x2cf7543e4fcdf6f140e66bfd725ba6d939e6c34c3b2ef847e2d5e11671a0d233	ACCEPTED	2025-08-23 2:40:12	2025-08-23 2:40:12
f3e35bb6-941a-4aaf-a4dc-9d84f27e9a45	ETH-ETH	432412	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0xd7db47597122b46af37bc50e664915acaf345dc6	0xb23360CCDd9Ed1b15D45E5d3824Bb409C8D7c460	0xC4e65AD18a6a0b7B33Ab99B203084B40fDd5aEe1	0xc724fe9d0b492a42d052d1ae27e477e1228faa362412220f6702ded1cf3fe2c2	INCOMPLETE	2025-08-24 2:40:12	2025-08-24 2:40:12
d59485c3-875c-4ca7-99ef-f2012b585716	ETH-ETH	432412	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0xd7db47597122b46af37bc50e664915acaf345dc6	0xb23360CCDd9Ed1b15D45E5d3824Bb409C8D7c460	0xC4e65AD18a6a0b7B33Ab99B203084B40fDd5aEe1	0xc724fe9d0b492a42d052d1ae27e477e1228faa362412220f6702ded1cf3fe2c2	ACK	2025-08-25 2:40:12	2025-08-25 2:40:12
28cdc207-c8a0-455f-8e67-d2a95f123d37	ETH-ETH	543256436	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0x7f4dd2f2fddbb296369e3ac5b1e603e269ef23c1	0x4838B106FCe9647Bdf1E7877BF73cE8B0BAD5f97	0x4C1746A800D224393fE2470C70A35717eD4eA5F1	0x1AB4973a48dc892Cd9971ECE8e01DcC7688f8F23	SENT	2025-08-26 2:40:12	2025-08-26 2:40:12
acaac9ef-1155-40e7-975a-e59b4b3b5e55	ETH-ETH	321454	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0xc9603188cf059d7f11135b96a91432e6d79cd491	0x4675C7e5BaAFBFFbca748158bEcBA61ef3b0a263	0xdAC17F958D2ee523a2206206994597C13D831ec7	0x49d071eb4ca633e640b0f42c98a7224867994624247461ee4e30acb79abc084f	ACK	2025-08-27 2:40:12	2025-08-27 2:40:12
eea01971-a069-4a1e-b22a-89dd135b4cb2	ETH-ETH	7432	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0x3a69821892b1c3754838ac0bf72aeeda96feae4d	0x1AB4973a48dc892Cd9971ECE8e01DcC7688f8F23	0x1ADE49c7D296847c65c952b8B4859D81739DBa4e	0x4d1bb5279206b8a558a6880d8972ab98ee8f44fb19e772cc6cb17e311aaea693	SENT	2025-08-28 2:40:12	2025-08-28 2:40:12
42a5311a-9b2a-4dbb-86e6-8b0e90de122d	ETH-ETH	3215732	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0x181caf505ba4c3766ddebf9dd68bda4429b74b41	0x1AB4973a48dc892Cd9971ECE8e01DcC7688f8F23	0x49FEd3C7eB5756f6a359E2e3531734a2c0A16B22	0x49d071eb4ca633e640b0f42c98a7224867994624247461ee4e30acb79abc084f	ACCEPTED	2025-08-29 2:40:12	2025-08-29 2:40:12
4af46b00-9475-4786-90ef-48a96e475966	ETH-ETH	72432	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0xdf5b2f9895feaec204cde9fdc0757ce49a501008	0x1A6ccF888DE9300eCCB70D3D33c4560e3fa5cD62	0x46c943CB8228D62c19D9DA300E8e6DBD5ac79859	0x1b6e44698fc46074b1838b07996b16aee2bdde49eeabe85d58bdd689c8fc17d8	SENT	2025-08-30 2:40:12	2025-08-30 2:40:12
e8482267-bd22-417c-894f-818424ba2873	ETH-ETH	54316	did:ethr:0x8e7b5a6f2f3e7d1b4c8a129fbd45e2a11a2b9c77	did:ethr:0xdf5b2f9895feaec204cde9fdc0757ce49a501008	0x3d03673aB0Bbfb5d86E2bd733469c18E0BBf433e	0xCC78Ee4037A0b7e03125512D7778B6d66C7A4f82	0xcccde479948c4d87bc61095a39725e8128c7fd0bda479833377862d9fbcadff9	ACCEPTED	2025-08-31 2:40:12	2025-08-31 2:40:12

Updated 8 days ago

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