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450 lines
17 KiB
Python
450 lines
17 KiB
Python
#!/usr/bin/env python3
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# This tool reads a disk image in any format and converts it to qcow2,
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# writing the result directly to stdout.
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#
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# Copyright (C) 2024 Igalia, S.L.
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#
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# Authors: Alberto Garcia <berto@igalia.com>
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# Madeeha Javed <javed@igalia.com>
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#
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# SPDX-License-Identifier: GPL-2.0-or-later
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#
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# qcow2 files produced by this script are always arranged like this:
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#
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# - qcow2 header
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# - refcount table
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# - refcount blocks
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# - L1 table
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# - L2 tables
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# - Data clusters
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#
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# A note about variable names: in qcow2 there is one refcount table
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# and one (active) L1 table, although each can occupy several
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# clusters. For the sake of simplicity the code sometimes talks about
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# refcount tables and L1 tables when referring to those clusters.
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import argparse
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import errno
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import math
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import os
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import signal
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import struct
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import subprocess
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import sys
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import tempfile
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import time
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from contextlib import contextmanager
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QCOW2_DEFAULT_CLUSTER_SIZE = 65536
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QCOW2_DEFAULT_REFCOUNT_BITS = 16
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QCOW2_FEATURE_NAME_TABLE = 0x6803F857
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QCOW2_DATA_FILE_NAME_STRING = 0x44415441
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QCOW2_V3_HEADER_LENGTH = 112 # Header length in QEMU 9.0. Must be a multiple of 8
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QCOW2_INCOMPAT_DATA_FILE_BIT = 2
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QCOW2_AUTOCLEAR_DATA_FILE_RAW_BIT = 1
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QCOW_OFLAG_COPIED = 1 << 63
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QEMU_STORAGE_DAEMON = "qemu-storage-daemon"
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def bitmap_set(bitmap, idx):
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bitmap[idx // 8] |= 1 << (idx % 8)
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def bitmap_is_set(bitmap, idx):
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return (bitmap[idx // 8] & (1 << (idx % 8))) != 0
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def bitmap_iterator(bitmap, length):
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for idx in range(length):
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if bitmap_is_set(bitmap, idx):
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yield idx
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def align_up(num, d):
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return d * math.ceil(num / d)
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# Holes in the input file contain only zeroes so we can skip them and
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# save time. This function returns the indexes of the clusters that
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# are known to contain data. Those are the ones that we need to read.
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def clusters_with_data(fd, cluster_size):
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data_to = 0
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while True:
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try:
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data_from = os.lseek(fd, data_to, os.SEEK_DATA)
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data_to = align_up(os.lseek(fd, data_from, os.SEEK_HOLE), cluster_size)
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for idx in range(data_from // cluster_size, data_to // cluster_size):
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yield idx
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except OSError as err:
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if err.errno == errno.ENXIO: # End of file reached
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break
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raise err
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# write_qcow2_content() expects a raw input file. If we have a different
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# format we can use qemu-storage-daemon to make it appear as raw.
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@contextmanager
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def get_input_as_raw_file(input_file, input_format):
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if input_format == "raw":
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yield input_file
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return
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try:
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temp_dir = tempfile.mkdtemp()
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pid_file = os.path.join(temp_dir, "pid")
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raw_file = os.path.join(temp_dir, "raw")
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open(raw_file, "wb").close()
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ret = subprocess.run(
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[
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QEMU_STORAGE_DAEMON,
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"--daemonize",
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"--pidfile", pid_file,
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"--blockdev", f"driver=file,node-name=file0,driver=file,filename={input_file},read-only=on",
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"--blockdev", f"driver={input_format},node-name=disk0,file=file0,read-only=on",
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"--export", f"type=fuse,id=export0,node-name=disk0,mountpoint={raw_file},writable=off",
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],
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capture_output=True,
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)
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if ret.returncode != 0:
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sys.exit("[Error] Could not start the qemu-storage-daemon:\n" +
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ret.stderr.decode().rstrip('\n'))
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yield raw_file
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finally:
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# Kill the storage daemon on exit
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# and remove all temporary files
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if os.path.exists(pid_file):
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with open(pid_file, "r") as f:
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pid = int(f.readline())
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os.kill(pid, signal.SIGTERM)
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while os.path.exists(pid_file):
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time.sleep(0.1)
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os.unlink(raw_file)
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os.rmdir(temp_dir)
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def write_features(cluster, offset, data_file_name):
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if data_file_name is not None:
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encoded_name = data_file_name.encode("utf-8")
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padded_name_len = align_up(len(encoded_name), 8)
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struct.pack_into(f">II{padded_name_len}s", cluster, offset,
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QCOW2_DATA_FILE_NAME_STRING,
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len(encoded_name),
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encoded_name)
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offset += 8 + padded_name_len
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qcow2_features = [
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# Incompatible
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(0, 0, "dirty bit"),
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(0, 1, "corrupt bit"),
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(0, 2, "external data file"),
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(0, 3, "compression type"),
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(0, 4, "extended L2 entries"),
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# Compatible
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(1, 0, "lazy refcounts"),
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# Autoclear
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(2, 0, "bitmaps"),
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(2, 1, "raw external data"),
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]
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struct.pack_into(">I", cluster, offset, QCOW2_FEATURE_NAME_TABLE)
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struct.pack_into(">I", cluster, offset + 4, len(qcow2_features) * 48)
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offset += 8
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for feature_type, feature_bit, feature_name in qcow2_features:
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struct.pack_into(">BB46s", cluster, offset,
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feature_type, feature_bit, feature_name.encode("ascii"))
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offset += 48
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def write_qcow2_content(input_file, cluster_size, refcount_bits, data_file_name, data_file_raw):
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# Some basic values
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l1_entries_per_table = cluster_size // 8
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l2_entries_per_table = cluster_size // 8
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refcounts_per_table = cluster_size // 8
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refcounts_per_block = cluster_size * 8 // refcount_bits
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# Virtual disk size, number of data clusters and L1 entries
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disk_size = align_up(os.path.getsize(input_file), 512)
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total_data_clusters = math.ceil(disk_size / cluster_size)
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l1_entries = math.ceil(total_data_clusters / l2_entries_per_table)
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allocated_l1_tables = math.ceil(l1_entries / l1_entries_per_table)
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# Max L1 table size is 32 MB (QCOW_MAX_L1_SIZE in block/qcow2.h)
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if (l1_entries * 8) > (32 * 1024 * 1024):
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sys.exit("[Error] The image size is too large. Try using a larger cluster size.")
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# Two bitmaps indicating which L1 and L2 entries are set
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l1_bitmap = bytearray(allocated_l1_tables * l1_entries_per_table // 8)
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l2_bitmap = bytearray(l1_entries * l2_entries_per_table // 8)
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allocated_l2_tables = 0
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allocated_data_clusters = 0
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if data_file_raw:
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# If data_file_raw is set then all clusters are allocated and
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# we don't need to read the input file at all.
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allocated_l2_tables = l1_entries
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for idx in range(l1_entries):
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bitmap_set(l1_bitmap, idx)
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for idx in range(total_data_clusters):
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bitmap_set(l2_bitmap, idx)
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else:
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# Open the input file for reading
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fd = os.open(input_file, os.O_RDONLY)
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zero_cluster = bytes(cluster_size)
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# Read all the clusters that contain data
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for idx in clusters_with_data(fd, cluster_size):
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cluster = os.pread(fd, cluster_size, cluster_size * idx)
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# If the last cluster is smaller than cluster_size pad it with zeroes
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if len(cluster) < cluster_size:
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cluster += bytes(cluster_size - len(cluster))
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# If a cluster has non-zero data then it must be allocated
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# in the output file and its L2 entry must be set
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if cluster != zero_cluster:
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bitmap_set(l2_bitmap, idx)
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allocated_data_clusters += 1
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# Allocated data clusters also need their corresponding L1 entry and L2 table
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l1_idx = math.floor(idx / l2_entries_per_table)
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if not bitmap_is_set(l1_bitmap, l1_idx):
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bitmap_set(l1_bitmap, l1_idx)
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allocated_l2_tables += 1
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# Total amount of allocated clusters excluding the refcount blocks and table
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total_allocated_clusters = 1 + allocated_l1_tables + allocated_l2_tables
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if data_file_name is None:
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total_allocated_clusters += allocated_data_clusters
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# Clusters allocated for the refcount blocks and table
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allocated_refcount_blocks = math.ceil(total_allocated_clusters / refcounts_per_block)
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allocated_refcount_tables = math.ceil(allocated_refcount_blocks / refcounts_per_table)
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# Now we have a problem because allocated_refcount_blocks and allocated_refcount_tables...
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# (a) increase total_allocated_clusters, and
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# (b) need to be recalculated when total_allocated_clusters is increased
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# So we need to repeat the calculation as long as the numbers change
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while True:
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new_total_allocated_clusters = total_allocated_clusters + allocated_refcount_tables + allocated_refcount_blocks
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new_allocated_refcount_blocks = math.ceil(new_total_allocated_clusters / refcounts_per_block)
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if new_allocated_refcount_blocks > allocated_refcount_blocks:
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allocated_refcount_blocks = new_allocated_refcount_blocks
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allocated_refcount_tables = math.ceil(allocated_refcount_blocks / refcounts_per_table)
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else:
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break
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# Now that we have the final numbers we can update total_allocated_clusters
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total_allocated_clusters += allocated_refcount_tables + allocated_refcount_blocks
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# At this point we have the exact number of clusters that the output
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# image is going to use so we can calculate all the offsets.
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current_cluster_idx = 1
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refcount_table_offset = current_cluster_idx * cluster_size
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current_cluster_idx += allocated_refcount_tables
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refcount_block_offset = current_cluster_idx * cluster_size
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current_cluster_idx += allocated_refcount_blocks
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l1_table_offset = current_cluster_idx * cluster_size
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current_cluster_idx += allocated_l1_tables
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l2_table_offset = current_cluster_idx * cluster_size
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current_cluster_idx += allocated_l2_tables
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data_clusters_offset = current_cluster_idx * cluster_size
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# Calculate some values used in the qcow2 header
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if allocated_l1_tables == 0:
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l1_table_offset = 0
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hdr_cluster_bits = int(math.log2(cluster_size))
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hdr_refcount_bits = int(math.log2(refcount_bits))
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hdr_length = QCOW2_V3_HEADER_LENGTH
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hdr_incompat_features = 0
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if data_file_name is not None:
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hdr_incompat_features |= 1 << QCOW2_INCOMPAT_DATA_FILE_BIT
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hdr_autoclear_features = 0
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if data_file_raw:
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hdr_autoclear_features |= 1 << QCOW2_AUTOCLEAR_DATA_FILE_RAW_BIT
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### Write qcow2 header
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cluster = bytearray(cluster_size)
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struct.pack_into(">4sIQIIQIIQQIIQQQQII", cluster, 0,
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b"QFI\xfb", # QCOW magic string
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3, # version
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0, # backing file offset
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0, # backing file sizes
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hdr_cluster_bits,
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disk_size,
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0, # encryption method
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l1_entries,
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l1_table_offset,
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refcount_table_offset,
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allocated_refcount_tables,
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0, # number of snapshots
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0, # snapshot table offset
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hdr_incompat_features,
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0, # compatible features
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hdr_autoclear_features,
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hdr_refcount_bits,
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hdr_length,
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)
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write_features(cluster, hdr_length, data_file_name)
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sys.stdout.buffer.write(cluster)
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### Write refcount table
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cur_offset = refcount_block_offset
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remaining_refcount_table_entries = allocated_refcount_blocks # Each entry is a pointer to a refcount block
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while remaining_refcount_table_entries > 0:
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cluster = bytearray(cluster_size)
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to_write = min(remaining_refcount_table_entries, refcounts_per_table)
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remaining_refcount_table_entries -= to_write
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for idx in range(to_write):
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struct.pack_into(">Q", cluster, idx * 8, cur_offset)
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cur_offset += cluster_size
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sys.stdout.buffer.write(cluster)
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### Write refcount blocks
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remaining_refcount_block_entries = total_allocated_clusters # One entry for each allocated cluster
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for tbl in range(allocated_refcount_blocks):
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cluster = bytearray(cluster_size)
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to_write = min(remaining_refcount_block_entries, refcounts_per_block)
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remaining_refcount_block_entries -= to_write
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# All refcount entries contain the number 1. The only difference
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# is their bit width, defined when the image is created.
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for idx in range(to_write):
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if refcount_bits == 64:
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struct.pack_into(">Q", cluster, idx * 8, 1)
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elif refcount_bits == 32:
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struct.pack_into(">L", cluster, idx * 4, 1)
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elif refcount_bits == 16:
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struct.pack_into(">H", cluster, idx * 2, 1)
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elif refcount_bits == 8:
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cluster[idx] = 1
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elif refcount_bits == 4:
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cluster[idx // 2] |= 1 << ((idx % 2) * 4)
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elif refcount_bits == 2:
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cluster[idx // 4] |= 1 << ((idx % 4) * 2)
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elif refcount_bits == 1:
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cluster[idx // 8] |= 1 << (idx % 8)
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sys.stdout.buffer.write(cluster)
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### Write L1 table
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cur_offset = l2_table_offset
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for tbl in range(allocated_l1_tables):
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cluster = bytearray(cluster_size)
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for idx in range(l1_entries_per_table):
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l1_idx = tbl * l1_entries_per_table + idx
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if bitmap_is_set(l1_bitmap, l1_idx):
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struct.pack_into(">Q", cluster, idx * 8, cur_offset | QCOW_OFLAG_COPIED)
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cur_offset += cluster_size
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sys.stdout.buffer.write(cluster)
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### Write L2 tables
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cur_offset = data_clusters_offset
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for tbl in range(l1_entries):
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# Skip the empty L2 tables. We can identify them because
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# there is no L1 entry pointing at them.
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if bitmap_is_set(l1_bitmap, tbl):
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cluster = bytearray(cluster_size)
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for idx in range(l2_entries_per_table):
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l2_idx = tbl * l2_entries_per_table + idx
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if bitmap_is_set(l2_bitmap, l2_idx):
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if data_file_name is None:
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struct.pack_into(">Q", cluster, idx * 8, cur_offset | QCOW_OFLAG_COPIED)
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cur_offset += cluster_size
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else:
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struct.pack_into(">Q", cluster, idx * 8, (l2_idx * cluster_size) | QCOW_OFLAG_COPIED)
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sys.stdout.buffer.write(cluster)
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### Write data clusters
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if data_file_name is None:
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for idx in bitmap_iterator(l2_bitmap, total_data_clusters):
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cluster = os.pread(fd, cluster_size, cluster_size * idx)
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# If the last cluster is smaller than cluster_size pad it with zeroes
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if len(cluster) < cluster_size:
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cluster += bytes(cluster_size - len(cluster))
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sys.stdout.buffer.write(cluster)
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if not data_file_raw:
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os.close(fd)
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def main():
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# Command-line arguments
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parser = argparse.ArgumentParser(
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description="This program converts a QEMU disk image to qcow2 "
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"and writes it to the standard output"
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)
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parser.add_argument("input_file", help="name of the input file")
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parser.add_argument(
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"-f",
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dest="input_format",
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metavar="input_format",
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help="format of the input file (default: raw)",
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default="raw",
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)
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parser.add_argument(
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"-c",
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dest="cluster_size",
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metavar="cluster_size",
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help=f"qcow2 cluster size (default: {QCOW2_DEFAULT_CLUSTER_SIZE})",
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default=QCOW2_DEFAULT_CLUSTER_SIZE,
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type=int,
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choices=[1 << x for x in range(9, 22)],
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)
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parser.add_argument(
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"-r",
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dest="refcount_bits",
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metavar="refcount_bits",
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help=f"width of the reference count entries (default: {QCOW2_DEFAULT_REFCOUNT_BITS})",
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default=QCOW2_DEFAULT_REFCOUNT_BITS,
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type=int,
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choices=[1 << x for x in range(7)],
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)
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parser.add_argument(
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"-d",
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dest="data_file",
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help="create an image with input_file as an external data file",
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action="store_true",
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)
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parser.add_argument(
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"-R",
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dest="data_file_raw",
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help="enable data_file_raw on the generated image (implies -d)",
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action="store_true",
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)
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args = parser.parse_args()
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if args.data_file_raw:
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args.data_file = True
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if not os.path.isfile(args.input_file):
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sys.exit(f"[Error] {args.input_file} does not exist or is not a regular file.")
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if args.data_file and args.input_format != "raw":
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sys.exit("[Error] External data files can only be used with raw input images")
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# A 512 byte header is too small for the data file name extension
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if args.data_file and args.cluster_size == 512:
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sys.exit("[Error] External data files require a larger cluster size")
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if sys.stdout.isatty():
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sys.exit("[Error] Refusing to write to a tty. Try redirecting stdout.")
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if args.data_file:
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data_file_name = args.input_file
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else:
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data_file_name = None
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with get_input_as_raw_file(args.input_file, args.input_format) as raw_file:
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write_qcow2_content(
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raw_file,
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args.cluster_size,
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args.refcount_bits,
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data_file_name,
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args.data_file_raw,
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)
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if __name__ == "__main__":
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main()
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