Datasets:
CASID: richer dataset card (paper info, usage, verification), add verify script
Browse files- scripts/verify_download.py +78 -0
scripts/verify_download.py
ADDED
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""Verify a downloaded CASID release against release_file_hashes.csv.
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Checks, for every row in the manifest:
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1. the file exists
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2. its size matches
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3. its MD5 matches (full read)
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Usage:
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python verify_download.py --root CASID-dataset [--workers 8]
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"""
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import argparse
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import csv
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import hashlib
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import os
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import sys
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from multiprocessing import Pool
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CHUNK = 1 << 20
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def check(task):
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root, rel, size, md5 = task
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path = os.path.join(root, rel)
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if not os.path.isfile(path):
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return rel, "MISSING"
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if os.path.getsize(path) != int(size):
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return rel, "SIZE_MISMATCH"
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h = hashlib.md5()
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try:
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with open(path, "rb") as f:
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for chunk in iter(lambda: f.read(CHUNK), b""):
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h.update(chunk)
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except OSError as e:
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return rel, "READ_ERROR(%s)" % e
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return rel, "OK" if h.hexdigest() == md5 else "MD5_MISMATCH"
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--root", required=True, help="downloaded dataset root")
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ap.add_argument("--workers", type=int, default=8)
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args = ap.parse_args()
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manifest = os.path.join(args.root, "release_file_hashes.csv")
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if not os.path.isfile(manifest):
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sys.exit("ERROR: %s not found (download incomplete?)" % manifest)
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tasks = []
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with open(manifest) as f:
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for row in csv.reader(f):
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if row and row[0] != "path":
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tasks.append((args.root, row[0], row[1], row[2]))
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print("verifying %d files ..." % len(tasks))
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n_ok = n_bad = 0
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bad = []
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with Pool(args.workers) as pool:
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for rel, status in pool.imap_unordered(check, tasks, chunksize=8):
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if status == "OK":
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n_ok += 1
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else:
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n_bad += 1
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bad.append((rel, status))
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if (n_ok + n_bad) % 500 == 0:
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print(" %d/%d" % (n_ok + n_bad, len(tasks)), flush=True)
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print("RESULT: %d OK, %d bad (total %d)" % (n_ok, n_bad, len(tasks)))
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for rel, status in bad[:20]:
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print(" %s: %s" % (status, rel))
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if n_bad:
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sys.exit(1)
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print("ALL FILES VERIFIED ✔")
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if __name__ == "__main__":
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main()
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