def test_lscpu():
expect = [{
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "Xeon 5160",
"brand": "Intel",
"core-n": 2,
"thread-n": 2,
"frequency-hertz": 3000000000,
"human_readable_frequency": "N/A"
}, {
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "Xeon 5160",
"brand": "Intel",
"core-n": 2,
"thread-n": 2,
"frequency-hertz": 3000000000,
"human_readable_frequency": "N/A"
}]
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
assert isinstance(expect, list)
assert len(expect) == 2
assert output == expect
def extract_data(directory: str,
has_dedicated_gpu: bool,
gpu_in_cpu: bool,
cleanup: bool,
verbose: bool,
unpack: bool = True):
mobo = get_baseboard(directory + "/baseboard.txt")
cpu = read_lscpu(directory + "/lscpu.txt")
gpu = read_lspci_and_glxinfo(has_dedicated_gpu, directory + "/lspci.txt",
directory + "/glxinfo.txt", verbose)
if not has_dedicated_gpu:
entries = extract_integrated_gpu_from_standalone(gpu)
if gpu_in_cpu:
if isinstance(cpu, list):
# Multiple processors
updated_cpus = []
for one_cpu in cpu:
one_cpu = {**one_cpu, **entries}
updated_cpus.append(one_cpu)
cpu = updated_cpus
del updated_cpus
else:
cpu = {**cpu, **entries}
else:
mobo = {**mobo, **entries}
gpu = []
mobo = get_connectors(directory + "/connector.txt", mobo, verbose)
mobo = get_net(directory + "/net.txt", mobo, verbose)
chassis = get_chassis(directory + "/chassis.txt")
dimms = read_decode_dimms(directory + "/dimms.txt", verbose)
if chassis["motherboard-form-factor"] == "proprietary-laptop":
psu = {"type": "external-psu"}
else:
psu = {"type": "psu"}
disks = read_smartctl(directory)
result = []
empty_dict = {}
for component in (chassis, mobo, cpu, dimms, gpu, disks, psu):
# return JSON ready for TARALLO
if unpack:
if isinstance(component, list):
if component.__len__() == 0:
result.append(empty_dict)
continue
for item in component:
result.append(item)
else:
result.append(component)
# return list of lists of dicts to use in extract_and_collect_data_from_generated_files() for long output
else:
if component.__len__() == 0:
result.append(empty_dict)
else:
result.append(component)
if cleanup:
result = do_cleanup(result, verbose)
return result
def test_lscpu():
expect = {
'type': 'cpu',
"working": "yes",
'isa': 'x86-32',
'model': 'Celeron 2.80GHz',
'brand': 'Intel',
'core-n': 1,
'thread-n': 1,
'frequency-hertz': -1,
'human_readable_frequency': 'N/A'
}
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
def test_lscpu():
expect = {
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "Core 2 Quad Q6600",
"brand": "Intel",
"core-n": 4,
"thread-n": 4,
"frequency-hertz": 2400000000,
}
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
assert output == expect
def test_lscpu():
expect = {
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "Pentium 4 2.80GHz",
"brand": "Intel",
"core-n": 1,
"thread-n": 2,
"frequency-hertz": 2800000000,
}
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
assert output == expect
def test_lscpu():
expect = {
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "FX-8370E",
"brand": "AMD",
"core-n": 4,
"thread-n": 8,
"frequency-hertz": 3300000000,
}
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
assert output == expect
def test_lscpu():
expect = {
'brand': 'Intel',
'core-n': 4,
'frequency-hertz': 3400000000,
'isa': 'x86-64',
'model': 'Core i7-2600',
'thread-n': 8,
'type': 'cpu',
'working': 'yes',
}
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
assert output == expect
def test_lscpu():
expect = {
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "Core m3-6Y30",
"brand": "Intel",
"core-n": 2,
"thread-n": 4,
"frequency-hertz": 900000000,
"human_readable_frequency": "N/A"
}
output = read_lscpu.read_lscpu(filedir + 'lscpu.txt')
assert output == expect
def test_lscpu():
expect = {
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "Pentium D 2.66GHz",
"brand": "Intel",
"core-n": 2,
"thread-n": 2,
"frequency-hertz": 2660000000,
"human_readable_frequency": "N/A"
}
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
assert output == expect
def test_lscpu():
expect = {
"type": "cpu",
"working": "yes",
"isa": "x86-32",
"model": "Athlon 4",
"brand": "AMD",
"core-n": 1,
"thread-n": 1,
"frequency-hertz": -1,
}
output = read_lscpu.read_lscpu(os.path.join(filedir, 'lscpu.txt'))
assert output == expect
def test_lscpu():
expect = {
"type": "cpu",
"working": "yes",
"isa": "x86-64",
"model": "FX-8370E",
"brand": "AMD",
"core-n": 4,
"thread-n": 8,
"frequency-hertz": 3300000000,
"human_readable_frequency": "N/A"
}
output = read_lscpu.read_lscpu(filedir + 'lscpu.txt')
assert output == expect
def extract_data(directory: str,
has_dedicated_gpu: bool,
gpu_in_cpu: bool,
gui: bool,
verbose: bool,
unpack: bool = True):
mobo = get_baseboard(directory + "/baseboard.txt")
cpu = read_lscpu(directory + "/lscpu.txt")
gpu = read_lspci_and_glxinfo(has_dedicated_gpu, directory + "/lspci.txt",
directory + "/glxinfo.txt", verbose)
if not has_dedicated_gpu:
entries = extract_integrated_gpu_from_standalone(gpu)
if gpu_in_cpu:
if isinstance(cpu, list):
# Multiple processors
updated_cpus = []
for one_cpu in cpu:
one_cpu = {**one_cpu, **entries}
updated_cpus.append(one_cpu)
cpu = updated_cpus
del updated_cpus
else:
cpu = {**cpu, **entries}
else:
mobo = {**mobo, **entries}
gpu = []
mobo = get_connectors(directory + "/connector.txt", mobo, verbose)
mobo = get_net(directory + "/net.txt", mobo, verbose)
chassis = get_chassis(directory + "/chassis.txt")
dimms = read_decode_dimms(directory + "/dimms.txt", verbose)
if chassis["motherboard-form-factor"] == "proprietary-laptop":
psu = {"type": "external-psu"}
else:
psu = {"type": "psu"}
disks = read_smartctl(directory)
result = []
empty_dict = {}
for component in (chassis, mobo, cpu, dimms, gpu, disks, psu):
# return JSON ready for TARALLO
if unpack:
if isinstance(component, list):
if len(component) == 0:
result.append(empty_dict)
continue
for item in component:
result.append(item)
else:
result.append(component)
# return list of lists of dicts to use in extract_and_collect_data_from_generated_files() for long output
else:
if len(component) == 0:
result.append(empty_dict)
else:
result.append(component)
result = do_cleanup(result, gui, verbose)
# check on case and mobo
try:
if (chassis['model'], chassis['brand'],
chassis['variant']) == (mobo['brand'], mobo['model'],
mobo['variant']):
chassis.pop('model')
except KeyError:
pass
# maybe there's a nicer way
comparator = []
for comp in result:
if isinstance(comp, list):
comparator = comparator + comp
else:
comparator.append(comp)
# avoid bad associations between items and products
for comp1 in comparator:
for comp2 in comparator:
if is_product(comp1) and is_product(
comp2) and comp1['type'] != comp2['type']:
if (comp1['brand'], comp2['model']) == (comp2['brand'],
comp2['model']):
variant1 = comp1.pop('variant', '')
variant2 = comp2.pop('variant', '')
if variant1 == variant2:
comp1['variant'] = variant1.rstrip().join(
f"_{comp1['type']}")
comp2['variant'] = variant2.rstrip().join(
f"_{comp2['type']}")
return result