def single_upload():
"""
Creates a randomly-named recipe and uploads it using a label so that it
doesn't affect the main bioconda channel. Tests that depend on this fixture
get a tuple of name, pakage, recipe dir. Cleans up when it's done.
"""
name = 'upload-test-' + str(uuid.uuid4()).split('-')[0]
r = Recipes('''
{0}:
meta.yaml: |
package:
name: {0}
version: "0.1"
'''.format(name),
from_string=True)
r.write_recipes()
env_matrix = list(utils.EnvMatrix(tmp_env_matrix()))[0]
build.build(
recipe=r.recipe_dirs[name],
recipe_folder='.',
docker_builder=None,
mulled_test=False,
env=env_matrix,
)
pkg = utils.built_package_path(r.recipe_dirs[name])
upload.anaconda_upload(pkg, label=TEST_LABEL)
yield (name, pkg, r.recipe_dirs[name])
p = sp.run([
'anaconda', '-t',
os.environ.get('ANACONDA_TOKEN'), 'remove',
'bioconda/{0}'.format(name), '--force'
],
stdout=sp.PIPE,
stderr=sp.STDOUT,
check=True,
universal_newlines=True)
def test_pkgname_with_numpy_x_x():
r = Recipes(
"""
one:
meta.yaml: |
package:
name: one
version: "0.1"
requirements:
run:
- python
- numpy x.x
build:
- python
- numpy x.x
""", from_string=True)
r.write_recipes()
os.environ['CONDA_NPY'] = '1.9'
assert os.path.basename(
utils.built_package_path(r.recipe_dirs['one'], env=os.environ)
) == 'one-0.1-np19py35_0.tar.bz2'
def test_build_empty_extra_container():
r = Recipes("""
one:
meta.yaml: |
package:
name: one
version: 0.1
extra:
container:
# empty
""",
from_string=True)
r.write_recipes()
build_result = build.build(
recipe=r.recipe_dirs['one'],
recipe_folder='.',
env={},
mulled_test=True,
)
assert build_result.success
pkg = utils.built_package_path(r.recipe_dirs['one'])
assert os.path.exists(pkg)
ensure_missing(pkg)
def test_rendering_sandboxing():
r = Recipes("""
one:
meta.yaml: |
package:
name: one
version: 0.1
extra:
var: {{ GITHUB_TOKEN }}
""",
from_string=True)
r.write_recipes()
env = {
# First one is allowed, others are not
'CONDA_ARBITRARY_VAR': 'conda-val-here',
'TRAVIS_ARBITRARY_VAR': 'travis-val-here',
'GITHUB_TOKEN': 'asdf',
'BUILDKITE_TOKEN': 'asdf',
}
# If GITHUB_TOKEN is already set in the bash environment, then we get
# a message on stdout+stderr (this is the case on travis-ci).
#
# However if GITHUB_TOKEN is not already set in the bash env (e.g., when
# testing locally), then we get a SystemError.
#
# In both cases we're passing in the `env` dict, which does contain
# GITHUB_TOKEN.
if 'GITHUB_TOKEN' in os.environ:
with pytest.raises(sp.CalledProcessError) as excinfo:
res = build.build(
recipe=r.recipe_dirs['one'],
recipe_folder='.',
env=env,
mulled_test=False,
_raise_error=True,
)
assert ("Undefined Jinja2 variables remain (['GITHUB_TOKEN']). "
"Please enable source downloading and try again.") in str(
excinfo.value.stdout)
else:
# recipe for "one" should fail because GITHUB_TOKEN is not a jinja var.
with pytest.raises(SystemExit) as excinfo:
res = build.build(recipe=r.recipe_dirs['one'],
recipe_folder='.',
env=env,
mulled_test=False)
assert "'GITHUB_TOKEN' is undefined" in str(excinfo.value)
r = Recipes("""
two:
meta.yaml: |
package:
name: two
version: 0.1
extra:
var2: {{ CONDA_ARBITRARY_VAR }}
""",
from_string=True)
r.write_recipes()
pkg = utils.built_package_path(r.recipe_dirs['two'], env=env)
ensure_missing(pkg)
res = build.build(recipe=r.recipe_dirs['two'],
recipe_folder='.',
env=env,
mulled_test=False)
t = tarfile.open(pkg)
tmp = tempfile.mkdtemp()
target = 'info/recipe/meta.yaml'
t.extract(target, path=tmp)
contents = yaml.load(open(os.path.join(tmp, target)).read())
assert contents['extra']['var2'] == 'conda-val-here', contents
