def analyze_spec(spec, analyzers=None, outdir=None, monitor=None, overwrite=False):
"""
Do an analysis for a spec, optionally adding monitoring.
We also allow the user to specify a custom output directory.
analyze_spec(spec, args.analyzers, args.outdir, monitor)
Args:
spec (spack.spec.Spec): spec object of installed package
analyzers (list): list of analyzer (keys) to run
monitor (spack.monitor.SpackMonitorClient): a monitor client
overwrite (bool): overwrite result if already exists
"""
analyzers = analyzers or list(spack.analyzers.analyzer_types.keys())
# Load the build environment from the spec install directory, and send
# the spec to the monitor if it's not known
if monitor:
monitor.load_build_environment(spec)
monitor.new_configuration([spec])
for name in analyzers:
# Instantiate the analyzer with the spec and outdir
analyzer = spack.analyzers.get_analyzer(name)(spec, outdir)
# Run the analyzer to get a json result - results are returned as
# a dictionary with a key corresponding to the analyzer type, so
# we can just update the data
result = analyzer.run()
# Send the result. We do them separately because:
# 1. each analyzer might have differently organized output
# 2. the size of a result can be large
analyzer.save_result(result, overwrite)
def test_spack_monitor_build_env(mock_monitor_request, install_mockery_mutable_config):
monitor = get_client(host="hostname")
assert hasattr(monitor, "build_environment")
for key in ["host_os", "platform", "host_target", "hostname", "spack_version",
"kernel_version"]:
assert key in monitor.build_environment
spec = spack.spec.Spec("dttop")
spec.concretize()
# Loads the build environment from the spec install folder
monitor.load_build_environment(spec)