def test_get_conda_env_export_exceptions():
# Mock to capture logs
def log_warning(msg, *args):
log_warning.val = msg % args if args else msg
# Mock to throw unrecognized argument exception
def raise_unrec_args(_):
raise Exception("conda-env: error: unrecognized arguments: -p"
"/home/butch/old_conda/")
# Mock to raise some other exception
def raise_other(_):
raise Exception("unknown")
from reproman.distributions.conda import lgr
tracer = CondaTracer()
with mock.patch.object(tracer._session, "execute_command",
raise_unrec_args), \
mock.patch.object(lgr, "warning", log_warning):
tracer._get_conda_env_export("", "/conda")
assert "Please use Conda 4.3.19" in log_warning.val
with mock.patch.object(tracer._session, "execute_command",
raise_other), \
mock.patch.object(lgr, "warning", log_warning):
tracer._get_conda_env_export("", "/conda")
assert "unknown" in log_warning.val
def test_conda_init_install_and_detect(tmpdir):
# Note: We use a subdirectory of tmpdir because `install_packages` decides
# to install miniconda based on whether the directory exists.
test_dir = os.path.join(str(tmpdir), "miniconda")
dist = CondaDistribution(
name="conda",
path=test_dir,
conda_version="4.8.2",
python_version="3.8.2",
platform=get_conda_platform_from_python(sys.platform) + "-64",
environments=[
CondaEnvironment(
name="root",
path=test_dir,
packages=[
CondaPackage(name="conda",
installer=None,
version="4.8.2",
build=None,
channel_name=None,
md5=None,
size=None,
url=None,
files=None),
CondaPackage(name="pip",
installer=None,
version="20.0.2",
build=None,
channel_name=None,
md5=None,
size=None,
url=None,
files=None),
CondaPackage(name="pytest",
installer="pip",
version="3.4.0",
build=None,
channel_name=None,
md5=None,
size=None,
url=None,
files=None)
],
channels=[
CondaChannel(
name="conda-forge",
url="https://conda.anaconda.org/conda-forge/linux-64"),
CondaChannel(
name="defaults",
url="https://repo.continuum.io/pkgs/main/linux-64")
]),
CondaEnvironment(
name="mytest",
path=os.path.join(test_dir, "envs/mytest"),
packages=[
CondaPackage(name="pip",
installer=None,
version="20.0.2",
build=None,
channel_name=None,
md5=None,
size=None,
url=None,
files=None),
CondaPackage(
name="xz",
installer=None,
version="5.2.3",
build="0",
channel_name="conda-forge",
md5="f4e0d30b3caf631be7973cba1cf6f601",
size="874292",
url=
"https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.3-0.tar.bz2",
files=[
"bin/xz",
]),
CondaPackage(
name="rpaths",
installer="pip",
version="0.13",
build=None,
channel_name=None,
md5=None,
size=None,
url=None,
files=["lib/python3.8/site-packages/rpaths.py"])
],
channels=[
CondaChannel(
name="conda-forge",
url="https://conda.anaconda.org/conda-forge/linux-64")
])
])
# First install the environment in the temporary directory.
dist.initiate(None)
dist.install_packages()
# Add an empty environment to test detection of them
if not os.path.exists(os.path.join(test_dir, "envs/empty")):
call("cd " + test_dir + "; " + "./bin/conda create -y -n empty; ",
shell=True)
# Test that editable packages are detected
pymod_dir = os.path.join(test_dir, "minimal_pymodule")
if not os.path.exists(pymod_dir):
create_pymodule(pymod_dir)
call([
os.path.join(test_dir, "envs/mytest/bin/pip"), "install", "-e",
pymod_dir
])
# Now pick some files we know are in the conda install and detect them
files = [
os.path.join(test_dir, "bin/pip"),
os.path.join(test_dir, "envs/mytest/bin/xz"),
os.path.join(test_dir, "envs/empty/conda-meta/history"),
]
tracer = CondaTracer()
dists = list(tracer.identify_distributions(files))
assert len(dists) == 1, "Exactly one Conda distribution expected."
(distributions, unknown_files) = dists[0]
# RepromanProvenance.write(sys.stdout, distributions)
assert distributions.platform.startswith(
get_conda_platform_from_python(sys.platform)), \
"A conda platform is expected."
assert len(distributions.environments) == 3, \
"Three conda environments are expected."
out = {
'environments': [{
'name': 'root',
'packages': [{
'name': 'pip'
}]
}, {
'name':
'mytest',
'packages': [{
'name': 'xz'
}, {
'name': 'pip'
}, {
'name': 'rpaths',
'installer': 'pip',
'editable': False
}, {
'name': 'nmtest',
'files': [],
'installer': 'pip',
'editable': True
}]
}]
}
assert_is_subset_recur(out, attr.asdict(distributions), [dict, list])
# conda packages are not repeated as "pip" packages.
for envs in distributions.environments:
for pkg in envs.packages:
if pkg.name == "pip":
assert pkg.installer is None
# Smoke test to make sure install_packages doesn't choke on the format that
# is actually returned by the tracer.
distributions.initiate(None)
distributions.install_packages()