def main():
parser = argparse.ArgumentParser(
description=
'Fetch the source for all of the recipes in the given directory.')
parser.add_argument('--recipes-directory',
help='The directory to look for recipes.',
default='recipes')
parser.add_argument(
'cache_directory',
help=
'The directory to store the source cache (aka the conda build root).')
args = parser.parse_args()
source_cache = os.path.abspath(args.cache_directory)
recipes_directory = os.path.join(args.recipes_directory)
if not os.path.exists(source_cache):
os.makedirs(source_cache)
# We import conda_build.config, set a value, remove conda_build.config, and re-import it.
# We do this because conda_build has import time resolution on some of the conda_build.source
# variables (e.g. SRC_CACHE).
import conda_build.config
conda_build.config.config.croot = source_cache
sys.modules.pop('conda_build.source', None)
import conda_build.source
visited_sources = set()
for meta in list_metas(recipes_directory):
fetch_to_source_cache(meta, source_cache)
def main():
parser = argparse.ArgumentParser(description='Removing duplicate recipes which are lower down the pecking order.')
parser.add_argument('recipes_dirs', nargs="+",
help=("The directories containing recipes which should be 'flattened'."))
parser.add_argument('--output-dir', help='Directory which should be created containing flattened recipes.',
default='flattened_recipes')
args = parser.parse_args()
meta_collections = OrderedDict([(recipes_dir, list_metas(recipes_dir))
for recipes_dir in args.recipes_dirs])
flattened = list(flatten_metas(meta_collections.values()))
flattened_collections = OrderedDict()
for recipe_dir, metas in meta_collections.items():
for meta in metas:
if meta in flattened:
flattened_collections.setdefault(recipe_dir, []).append(meta)
for recipe_dir, metas in flattened_collections.items():
recipes_parent_dir = os.path.dirname(os.path.abspath(recipe_dir))
for meta in metas:
# Figure out where the recipe is, relative to the recipe dir
meta_dir = os.path.relpath(os.path.abspath(meta.path), recipes_parent_dir)
target_locn = os.path.join(args.output_dir, meta_dir)
shutil.copytree(meta.path, target_locn)
print('Copying {}'.format(meta_dir))
def test_follow_symlink(self):
link_dir = self.tmp_dir(prefix='recipes_through_links')
os.symlink(os.path.join(self.recipes_root_dir, 'd1'),
os.path.join(link_dir, 'd1'))
os.symlink(os.path.join(self.recipes_root_dir, 'm1'),
os.path.join(link_dir, 'm1'))
metas = list_metas(link_dir)
names = [meta.name() for meta in metas]
self.assertEqual(sorted(names), ['m1', 'm3'])
def test_follow_symlink(self):
link_dir = self.tmp_dir(prefix='recipes_through_links')
os.symlink(os.path.join(self.recipes_root_dir, 'd1'),
os.path.join(link_dir, 'd1'))
os.symlink(os.path.join(self.recipes_root_dir, 'm1'),
os.path.join(link_dir, 'm1'))
metas = list_metas(link_dir)
names = [meta.name() for meta in metas]
self.assertEqual(sorted(names), ['m1', 'm3'])
def test_order_dependent_selector(self):
# If we listen to the selectors, we would get a different build order.
# As a result of https://github.com/SciTools/conda-build-all/issues/30
# we know that we either have to resolve all dependencies up-front,
# or simply ignore all selectors when dealing with sort order (but
# emphatically not when building!).
metas = list_metas(self.recipes_root_dir)
from conda_build_all.builder import sort_dependency_order
names = [m.name() for m in sort_dependency_order(metas)]
self.assertEqual(names, ['c', 'a', 'b'])
def main():
parser = argparse.ArgumentParser(description='Fetch the source for all of the recipes in the given directory.')
parser.add_argument('--recipes-directory', help='The directory to look for recipes.',
default='recipes')
parser.add_argument('cache_directory', help='The directory to store the source cache (aka the conda build root).')
args = parser.parse_args()
source_cache = os.path.abspath(args.cache_directory)
recipes_directory = os.path.join(args.recipes_directory)
if not os.path.exists(source_cache):
os.makedirs(source_cache)
# We import conda_build.config, set a value, remove conda_build.config, and re-import it.
# We do this because conda_build has import time resolution on some of the conda_build.source
# variables (e.g. SRC_CACHE).
import conda_build.config
conda_build.config.config.croot = source_cache
sys.modules.pop('conda_build.source', None)
import conda_build.source
visited_sources = set()
for meta in list_metas(recipes_directory):
fetch_to_source_cache(meta, source_cache)
def test_default_depth(self):
metas = list_metas(self.recipes_root_dir)
names = [meta.name() for meta in metas]
self.assertEqual(sorted(names), ['m1', 'm2', 'm3', 'm4'])
def test_depth_2(self):
metas = list_metas(self.recipes_root_dir, max_depth=2)
names = [meta.name() for meta in metas]
self.assertEqual(sorted(names), ['m1', 'm2'])
def test_default_depth(self):
metas = list_metas(self.recipes_root_dir)
names = [meta.name() for meta in metas]
self.assertEqual(sorted(names), ['m1', 'm2', 'm3', 'm4'])
def test_depth_2(self):
metas = list_metas(self.recipes_root_dir, max_depth=2)
names = [meta.name() for meta in metas]
self.assertEqual(sorted(names), ['m1', 'm2'])
