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| 10 | Usage:
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| 11 | make_fit.py -A arm64 -n 'Linux-6.6' -O linux
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| 12 | -o arch/arm64/boot/image.fit -k /tmp/kern/arch/arm64/boot/image.itk
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| 13 | @arch/arm64/boot/dts/dtbs-list -E -c gzip
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| 14 |
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| 15 | Creates a FIT containing the supplied kernel and a set of devicetree files,
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| 16 | either specified individually or listed in a file (with an '@' prefix).
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| 17 |
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| 18 | Use -E to generate an external FIT (where the data is placed after the
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| 19 | FIT data structure). This allows parsing of the data without loading
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| 20 | the entire FIT.
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| 21 |
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| 22 | Use -c to compress the data, using bzip2, gzip, lz4, lzma, lzo and
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| 23 | zstd algorithms.
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| 24 |
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| 25 | Use -D to decompose "composite" DTBs into their base components and
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| 26 | deduplicate the resulting base DTBs and DTB overlays. This requires the
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| 27 | DTBs to be sourced from the kernel build directory, as the implementation
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| 28 | looks at the .cmd files produced by the kernel build.
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| 29 |
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| 30 | The resulting FIT can be booted by bootloaders which support FIT, such
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| 31 | as U-Boot, Linuxboot, Tianocore, etc.
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| 32 |
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| 33 | Note that this tool does not yet support adding a ramdisk / initrd.
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| 34 |
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| 35 |
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| 36 | import argparse
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| 37 | import collections
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| 38 | import os
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| 39 | import subprocess
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| 40 | import sys
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| 41 | import tempfile
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| 42 | import time
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| 43 |
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| 44 | import libfdt
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| 45 |
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| 46 |
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| 47 | |
| 48 | CompTool = collections.namedtuple('CompTool', 'ext,tools')
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| 49 |
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| 50 | COMP_TOOLS = {
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| 51 | 'bzip2': CompTool('.bz2', 'bzip2'),
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| 52 | 'gzip': CompTool('.gz', 'pigz,gzip'),
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| 53 | 'lz4': CompTool('.lz4', 'lz4'),
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| 54 | 'lzma': CompTool('.lzma', 'lzma'),
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| 55 | 'lzo': CompTool('.lzo', 'lzop'),
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| 56 | 'zstd': CompTool('.zstd', 'zstd'),
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| 57 | }
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| 58 |
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| 59 |
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| 60 | def parse_args():
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| 61 | |
| 62 |
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| 63 | Returns:
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| 64 | Namespace object containing the arguments
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| 65 |
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| 66 | epilog = 'Build a FIT from a directory tree containing .dtb files'
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| 67 | parser = argparse.ArgumentParser(epilog=epilog, fromfile_prefix_chars='@')
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| 68 | parser.add_argument('-A', '--arch', type=str, required=True,
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| 69 | help='Specifies the architecture')
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| 70 | parser.add_argument('-c', '--compress', type=str, default='none',
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| 71 | help='Specifies the compression')
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| 72 | parser.add_argument('-D', '--decompose-dtbs', action='store_true',
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| 73 | help='Decompose composite DTBs into base DTB and overlays')
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| 74 | parser.add_argument('-E', '--external', action='store_true',
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| 75 | help='Convert the FIT to use external data')
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| 76 | parser.add_argument('-n', '--name', type=str, required=True,
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| 77 | help='Specifies the name')
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| 78 | parser.add_argument('-o', '--output', type=str, required=True,
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| 79 | help='Specifies the output file (.fit)')
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| 80 | parser.add_argument('-O', '--os', type=str, required=True,
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| 81 | help='Specifies the operating system')
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| 82 | parser.add_argument('-k', '--kernel', type=str, required=True,
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| 83 | help='Specifies the (uncompressed) kernel input file (.itk)')
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| 84 | parser.add_argument('-v', '--verbose', action='store_true',
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| 85 | help='Enable verbose output')
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| 86 | parser.add_argument('dtbs', type=str, nargs='*',
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| 87 | help='Specifies the devicetree files to process')
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| 88 |
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| 89 | return parser.parse_args()
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| 90 |
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| 91 |
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| 92 | def setup_fit(fsw, name):
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| 93 | |
| 94 |
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| 95 | Outputs the root properties and the 'images' node
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| 96 |
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| 97 | Args:
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| 98 | fsw (libfdt.FdtSw): Object to use for writing
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| 99 | name (str): Name of kernel image
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| 100 |
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| 101 | fsw.INC_SIZE = 65536
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| 102 | fsw.finish_reservemap()
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| 103 | fsw.begin_node('')
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| 104 | fsw.property_string('description', f'{name} with devicetree set')
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| 105 | fsw.property_u32('#address-cells', 1)
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| 106 |
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| 107 | fsw.property_u32('timestamp', int(time.time()))
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| 108 | fsw.begin_node('images')
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| 109 |
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| 110 |
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| 111 | def write_kernel(fsw, data, args):
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| 112 | |
| 113 |
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| 114 | Writes a kernel node along with the required properties
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| 115 |
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| 116 | Args:
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| 117 | fsw (libfdt.FdtSw): Object to use for writing
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| 118 | data (bytes): Data to write (possibly compressed)
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| 119 | args (Namespace): Contains necessary strings:
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| 120 | arch: FIT architecture, e.g. 'arm64'
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| 121 | fit_os: Operating Systems, e.g. 'linux'
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| 122 | name: Name of OS, e.g. 'Linux-6.6.0-rc7'
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| 123 | compress: Compression algorithm to use, e.g. 'gzip'
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| 124 |
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| 125 | with fsw.add_node('kernel'):
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| 126 | fsw.property_string('description', args.name)
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| 127 | fsw.property_string('type', 'kernel_noload')
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| 128 | fsw.property_string('arch', args.arch)
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| 129 | fsw.property_string('os', args.os)
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| 130 | fsw.property_string('compression', args.compress)
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| 131 | fsw.property('data', data)
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| 132 | fsw.property_u32('load', 0)
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| 133 | fsw.property_u32('entry', 0)
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| 134 |
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| 135 |
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| 136 | def finish_fit(fsw, entries):
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| 137 | |
| 138 |
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| 139 | Writes the /configurations node and subnodes
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| 140 |
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| 141 | Args:
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| 142 | fsw (libfdt.FdtSw): Object to use for writing
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| 143 | entries (list of tuple): List of configurations:
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| 144 | str: Description of model
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| 145 | str: Compatible stringlist
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| 146 |
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| 147 | fsw.end_node()
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| 148 | seq = 0
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| 149 | with fsw.add_node('configurations'):
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| 150 | for model, compat, files in entries:
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| 151 | seq += 1
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| 152 | with fsw.add_node(f'conf-{seq}'):
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| 153 | fsw.property('compatible', bytes(compat))
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| 154 | fsw.property_string('description', model)
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| 155 | fsw.property('fdt', bytes(''.join(f'fdt-{x}\x00' for x in files), "ascii"))
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| 156 | fsw.property_string('kernel', 'kernel')
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| 157 | fsw.end_node()
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| 158 |
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| 159 |
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| 160 | def compress_data(inf, compress):
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| 161 | |
| 162 |
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| 163 | Args:
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| 164 | inf (IOBase): Filename containing the data to compress
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| 165 | compress (str): Compression algorithm, e.g. 'gzip'
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| 166 |
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| 167 | Return:
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| 168 | bytes: Compressed data
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| 169 |
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| 170 | if compress == 'none':
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| 171 | return inf.read()
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| 172 |
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| 173 | comp = COMP_TOOLS.get(compress)
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| 174 | if not comp:
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| 175 | raise ValueError(f"Unknown compression algorithm '{compress}'")
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| 176 |
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| 177 | with tempfile.NamedTemporaryFile() as comp_fname:
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| 178 | with open(comp_fname.name, 'wb') as outf:
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| 179 | done = False
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| 180 | for tool in comp.tools.split(','):
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| 181 | try:
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| 182 | subprocess.call([tool, '-c'], stdin=inf, stdout=outf)
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| 183 | done = True
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| 184 | break
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| 185 | except FileNotFoundError:
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| 186 | pass
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| 187 | if not done:
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| 188 | raise ValueError(f'Missing tool(s): {comp.tools}\n')
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| 189 | with open(comp_fname.name, 'rb') as compf:
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| 190 | comp_data = compf.read()
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| 191 | return comp_data
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| 192 |
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| 193 |
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| 194 | def output_dtb(fsw, seq, fname, arch, compress):
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| 195 | |
| 196 |
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| 197 | Args:
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| 198 | fsw (libfdt.FdtSw): Object to use for writing
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| 199 | seq (int): Sequence number (1 for first)
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| 200 | fname (str): Filename containing the DTB
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| 201 | arch: FIT architecture, e.g. 'arm64'
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| 202 | compress (str): Compressed algorithm, e.g. 'gzip'
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| 203 |
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| 204 | with fsw.add_node(f'fdt-{seq}'):
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| 205 | fsw.property_string('description', os.path.basename(fname))
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| 206 | fsw.property_string('type', 'flat_dt')
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| 207 | fsw.property_string('arch', arch)
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| 208 | fsw.property_string('compression', compress)
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| 209 |
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| 210 | with open(fname, 'rb') as inf:
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| 211 | compressed = compress_data(inf, compress)
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| 212 | fsw.property('data', compressed)
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| 213 |
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| 214 |
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| 215 | def process_dtb(fname, args):
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| 216 | |
| 217 |
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| 218 | Args:
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| 219 | fname (str): Filename containing the DTB
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| 220 | args (Namespace): Program arguments
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| 221 | Returns:
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| 222 | tuple:
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| 223 | str: Model name string
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| 224 | str: Root compatible string
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| 225 | files: list of filenames corresponding to the DTB
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| 226 |
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| 227 | |
| 228 | with open(fname, 'rb') as inf:
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| 229 | data = inf.read()
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| 230 | fdt = libfdt.FdtRo(data)
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| 231 | model = fdt.getprop(0, 'model').as_str()
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| 232 | compat = fdt.getprop(0, 'compatible')
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| 233 |
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| 234 | if args.decompose_dtbs:
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| 235 | |
| 236 | path, basename = os.path.split(fname)
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| 237 | cmd_fname = os.path.join(path, f'.{basename}.cmd')
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| 238 | with open(cmd_fname, 'r', encoding='ascii') as inf:
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| 239 | cmd = inf.read()
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| 240 |
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| 241 | if 'scripts/dtc/fdtoverlay' in cmd:
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| 242 | |
| 243 | files = cmd.split()
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| 244 | files = files[files.index('-i') + 1:]
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| 245 | else:
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| 246 | files = [fname]
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| 247 | else:
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| 248 | files = [fname]
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| 249 |
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| 250 | return (model, compat, files)
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| 251 |
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| 252 | def build_fit(args):
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| 253 | |
| 254 |
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| 255 | Args:
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| 256 | args (Namespace): Program arguments
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| 257 |
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| 258 | Returns:
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| 259 | tuple:
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| 260 | bytes: FIT data
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| 261 | int: Number of configurations generated
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| 262 | size: Total uncompressed size of data
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| 263 |
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| 264 | seq = 0
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| 265 | size = 0
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| 266 | fsw = libfdt.FdtSw()
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| 267 | setup_fit(fsw, args.name)
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| 268 | entries = []
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| 269 | fdts = {}
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| 270 |
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| 271 | |
| 272 | with open(args.kernel, 'rb') as inf:
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| 273 | comp_data = compress_data(inf, args.compress)
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| 274 | size += os.path.getsize(args.kernel)
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| 275 | write_kernel(fsw, comp_data, args)
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| 276 |
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| 277 | for fname in args.dtbs:
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| 278 | |
| 279 | if os.path.splitext(fname)[1] != '.dtb':
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| 280 | continue
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| 281 |
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| 282 | try:
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| 283 | (model, compat, files) = process_dtb(fname, args)
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| 284 | except Exception as e:
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| 285 | sys.stderr.write(f"Error processing {fname}:\n")
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| 286 | raise e
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| 287 |
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| 288 | for fn in files:
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| 289 | if fn not in fdts:
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| 290 | seq += 1
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| 291 | size += os.path.getsize(fn)
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| 292 | output_dtb(fsw, seq, fn, args.arch, args.compress)
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| 293 | fdts[fn] = seq
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| 294 |
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| 295 | files_seq = [fdts[fn] for fn in files]
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| 296 |
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| 297 | entries.append([model, compat, files_seq])
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| 298 |
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| 299 | finish_fit(fsw, entries)
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| 300 |
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| 301 | |
| 302 | return fsw.as_fdt().as_bytearray(), seq + 1, size
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| 303 |
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| 304 |
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| 305 | def run_make_fit():
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| 306 |
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| 307 | args = parse_args()
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| 308 |
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| 309 | out_data, count, size = build_fit(args)
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| 310 | with open(args.output, 'wb') as outf:
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| 311 | outf.write(out_data)
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| 312 |
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| 313 | ext_fit_size = None
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| 314 | if args.external:
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| 315 | mkimage = os.environ.get('MKIMAGE', 'mkimage')
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| 316 | subprocess.check_call([mkimage, '-E', '-F', args.output],
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| 317 | stdout=subprocess.DEVNULL)
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| 318 |
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| 319 | with open(args.output, 'rb') as inf:
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| 320 | data = inf.read()
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| 321 | ext_fit = libfdt.FdtRo(data)
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| 322 | ext_fit_size = ext_fit.totalsize()
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| 323 |
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| 324 | if args.verbose:
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| 325 | comp_size = len(out_data)
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| 326 | print(f'FIT size {comp_size:#x}/{comp_size / 1024 / 1024:.1f} MB',
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| 327 | end='')
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| 328 | if ext_fit_size:
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| 329 | print(f', header {ext_fit_size:#x}/{ext_fit_size / 1024:.1f} KB',
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| 330 | end='')
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| 331 | print(f', {count} files, uncompressed {size / 1024 / 1024:.1f} MB')
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| 332 |
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| 333 |
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| 334 | if __name__ == "__main__":
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| 335 | sys.exit(run_make_fit())
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