def main(argv):
status = 0
try:
_, platform, config_name, target_name, binary, *args = argv
except ValueError:
program = pathlib.Path(argv[0])
logging.error(
"""
Usage: %s platform config target binary [output] [options]
This is intended for use in github workflows.
For other purposes, a general program for the same operations is
%s/report_summary.py
""", program.name, program.parent)
return 1
try:
config_file = pathlib.Path(platform)
if config_file.is_file():
platform = config_file.stem
else:
config_file = (PLATFORM_CONFIG_DIR / platform).with_suffix('.cfg')
output_base = f'{platform}-{config_name}-{target_name}-sizes.json'
if args and not args[0].startswith('-'):
out, *args = args
output = pathlib.Path(out)
if out.endswith('/') and not output.exists():
output.mkdir(parents=True)
if output.is_dir():
output = output / output_base
else:
output = pathlib.Path(binary).parent / output_base
config = Config().init({
**memdf.util.config.CONFIG,
**memdf.collect.CONFIG,
**memdf.select.CONFIG,
**memdf.report.OUTPUT_CONFIG,
**CONFIG,
})
config.put('output.file', output)
config.put('output.format', 'json_records')
if config_file.is_file():
config.read_config_file(config_file)
else:
logging.warning('Missing config file: %s', config_file)
config.parse([argv[0]] + args)
config.put('output.metadata.platform', platform)
config.put('output.metadata.config', config_name)
config.put('output.metadata.target', target_name)
config.put('output.metadata.time', config['timestamp'])
config.put('output.metadata.input', binary)
config.put('output.metadata.by', 'section')
for key in ['event', 'hash', 'parent', 'pr']:
if value := config[key]:
config.putl(['output', 'metadata', key], value)
collected: DFs = memdf.collect.collect_files(config, [binary])
sections = collected[SectionDF.name]
section_summary = sections[['section',
'size']].sort_values(by='section')
section_summary.attrs['name'] = "section"
summaries = {
'section': section_summary,
}
# Write configured (json) report to the output file.
memdf.report.write_dfs(config, summaries)
# Write text report to stdout.
memdf.report.write_dfs(config, summaries, sys.stdout, 'simple')
def main(argv):
status = 0
try:
_, platform, config_name, target_name, binary, *args = argv
except ValueError:
program = pathlib.Path(argv[0])
logging.error(
"""
Usage: %s platform config target binary [output] [options]
This is intended for use in github workflows.
For other purposes, a general program for the same operations is
%s/report_summary.py
""", program.name, program.parent)
return 1
try:
config_file = pathlib.Path(platform)
if config_file.is_file():
platform = config_file.stem
else:
config_file = (PLATFORM_CONFIG_DIR / platform).with_suffix('.cfg')
output_base = f'{platform}-{config_name}-{target_name}-sizes.json'
if args and not args[0].startswith('-'):
out, *args = args
output = pathlib.Path(out)
if out.endswith('/') and not output.exists():
output.mkdir(parents=True)
if output.is_dir():
output = output / output_base
else:
output = pathlib.Path(binary).parent / output_base
config = Config().init({
**memdf.util.config.CONFIG,
**memdf.collect.CONFIG,
**memdf.select.CONFIG,
**memdf.report.OUTPUT_CONFIG,
**CONFIG,
})
config.put('output.file', output)
config.put('output.format', 'json_records')
if config_file.is_file():
config.read_config_file(config_file)
else:
logging.warning('Missing config file: %s', config_file)
config.parse([argv[0]] + args)
config.put('output.metadata.platform', platform)
config.put('output.metadata.config', config_name)
config.put('output.metadata.target', target_name)
config.put('output.metadata.time', config['timestamp'])
config.put('output.metadata.input', binary)
config.put('output.metadata.by', 'section')
for key in ['event', 'hash', 'parent', 'pr', 'ref']:
if value := config[key]:
config.putl(['output', 'metadata', key], value)
collected: DFs = memdf.collect.collect_files(config, [binary])
# Aggregate loaded segments, by writable (flash) or not (RAM).
segments = collected[SegmentDF.name]
segments['segment'] = segments.index
segments['wr'] = ((segments['flags'] & 2) != 0).convert_dtypes(
convert_boolean=False, convert_integer=True)
segment_summary = segments[segments['type'] == 'PT_LOAD'][[
'wr', 'size'
]].groupby('wr').aggregate(np.sum).reset_index().astype(
{'size': np.int64})
segment_summary.attrs['name'] = "wr"
sections = collected[SectionDF.name]
sections = sections.join(on='segment',
how='left',
other=segments,
rsuffix='-segment')
section_summary = sections[['section', 'size',
'wr']].sort_values(by='section')
section_summary.attrs['name'] = "section"
summaries = {
'section': section_summary,
'memory': segment_summary,
}
# Write configured (json) report to the output file.
memdf.report.write_dfs(config, summaries)
# Write text report to stdout.
memdf.report.write_dfs(config,
summaries,
sys.stdout,
'simple',
floatfmt='.0f')
