def test_env_dict_initialized_with_replaced_env_dict():
a = EnvDict({'a': {'b': 1}})
a_mod = a._replace_flatten_keys({'env__a__b': 2})
b = EnvDict(a_mod)
# make sure the new object has the updated values
assert b['a']['b'] == 2
def test_env_dict_initialized_with_env_dict(data, keys):
env = EnvDict(EnvDict(data))
# ensure we initialized the object correctly
assert repr(env)
assert str(env)
# check we can access nested keys
for key in keys:
env = env[key]
assert env == 1
def test_replace_value_casts_if_possible():
env = EnvDict({'a': False, 'b': 1, 'c': 1.1})
env._replace_value('True', ['a'])
env._replace_value('2', ['b'])
env._replace_value('2.2', ['c'])
assert env.a is True
assert env.b == 2
assert env.c == 2.2
def test_dagspec_initialization_from_yaml_and_env(tmp_nbs, monkeypatch):
"""
DAGSpec can be initialized with a path to a spec or a dictionary, but
they have a slightly different behavior. This ensure the cli passes
the path, instead of a dictionary
"""
mock_DAGSpec = Mock(wraps=parsers.DAGSpec)
mock_default_path_to_env = Mock(wraps=parsers.default.path_to_env)
mock_EnvDict = Mock(wraps=parsers.EnvDict)
monkeypatch.setattr(sys, 'argv', ['python'])
monkeypatch.setattr(parsers, 'DAGSpec', mock_DAGSpec)
monkeypatch.setattr(parsers.default, 'path_to_env',
mock_default_path_to_env)
monkeypatch.setattr(parsers, 'EnvDict', mock_EnvDict)
parser = CustomParser()
with parser:
pass
dag, args = _custom_command(parser)
# ensure called using the path to the yaml spec
mock_DAGSpec.assert_called_once_with('pipeline.yaml',
env=EnvDict({'sample': False}))
# and EnvDict initialized from env.yaml
mock_EnvDict.assert_called_once_with(str(Path('env.yaml').resolve()))
def test_default_with_root(monkeypatch):
mock = Mock(return_value='some_value')
monkeypatch.setattr(default, 'find_root_recursively', mock)
env = EnvDict(dict())
assert env.root == 'some_value'
def test_default(monkeypatch):
monkeypatch.setattr(getpass, 'getuser', Mock(return_value='User'))
monkeypatch.setattr(os, 'getcwd', Mock(return_value='/some_path'))
env = EnvDict(dict())
assert env.cwd == str(Path('/some_path').resolve())
assert env.user == 'User'
def test_error_when_loaded_obj_is_not_dict(content, type_, tmp_directory):
path = Path(tmp_directory, 'file.yaml')
path.write_text(content)
with pytest.raises(ValueError) as excinfo:
EnvDict('file.yaml')
expected = ("Expected object loaded from 'file.yaml' to be "
"a dict but got '{}' instead, "
"verify the content").format(type_)
assert str(excinfo.value) == expected
def test_attribute_error_message():
env = EnvDict({'user': '******', 'cwd': 'cwd', 'root': 'root'})
with pytest.raises(AttributeError) as excinfo_attr:
env.aa
with pytest.raises(KeyError) as excinfo_key:
env['aa']
assert str(excinfo_attr.value) == f"{env!r} object has no atttribute 'aa'"
assert str(excinfo_key.value) == f'"{env!r} object has no key \'aa\'"'
def _process_file_dir_or_glob(parser):
"""
Process a file entry point file or directory), returns the initialized dag
and parsed args
Parameters
----------
parser : CustomParser
CLI arg parser
"""
# look for env.yaml by searching in default locations
path_to_env = default.path_to_env(
Path(parser.parse_entry_point_value()).parent)
if path_to_env:
env_dict = EnvDict(path_to_env)
_add_cli_args_from_env_dict_keys(parser, env_dict)
args = parser.parse_args()
if hasattr(args, 'log'):
if args.log is not None:
logging.basicConfig(level=args.log.upper())
entry_point = EntryPoint(args.entry_point)
if entry_point.type == EntryPoint.Directory:
dag = DAGSpec.from_directory(args.entry_point).to_dag()
elif entry_point.type == EntryPoint.Pattern:
dag = DAGSpec.from_files(args.entry_point).to_dag()
else:
if path_to_env:
# and replace keys depending on passed cli args
replaced = _env_keys_to_override(args, parser.static_args)
env = env_dict._replace_flatten_keys(replaced)
dag = DAGSpec(args.entry_point, env=env).to_dag()
else:
dag = DAGSpec(args.entry_point).to_dag()
return dag, args
def decorator(fn):
_validate_and_modify_signature(fn)
try:
env_dict = EnvDict(source)
except Exception as e:
raise RuntimeError('Failed to resolve environment using '
'@with_env decorator in function "{}". '
'Tried to call Env with argument: {}'.format(
_get_function_name_w_module(fn),
source)) from e
fn._env_dict = env_dict
@wraps(fn)
def wrapper(*args, **kwargs):
to_replace = {
k: v
for k, v in kwargs.items() if k.startswith('env__')
}
for key in to_replace.keys():
kwargs.pop(key)
env_dict_new = env_dict._replace_flatten_keys(to_replace)
try:
Env._init_from_decorator(env_dict_new,
_get_function_name_w_module(fn))
except Exception as e:
current = Env.load()
raise RuntimeError('Failed to initialize environment using '
'@with_env decorator in function "{}". '
'Current environment: {}'.format(
_get_function_name_w_module(fn),
repr(current))) from e
Env._ref = _get_function_name_w_module(fn)
try:
res = fn(Env.load(), *args, **kwargs)
except Exception as e:
Env.end()
raise e
Env.end()
return res
return wrapper
def test_adds_default_keys_if_they_dont_exist(monkeypatch):
monkeypatch.setattr(getpass, 'getuser', Mock(return_value='User'))
monkeypatch.setattr(os, 'getcwd', Mock(return_value='/some_path'))
mock = Mock(return_value='some_value')
monkeypatch.setattr(default, 'find_root_recursively', mock)
monkeypatch.setattr(expand.default, 'find_root_recursively', mock)
env = EnvDict({'a': 1}, path_to_here='/dir')
assert env.cwd == str(Path('/some_path').resolve())
assert env.here == str(Path('/dir').resolve())
assert env.user == 'User'
assert env.root == 'some_value'
assert env.default_keys == {'cwd', 'here', 'user', 'root'}
def test_serialize_env_dict():
# this tests an edge case due to EnvDict's implementation: to enable
# accessing values in the underlying dictionary as attributes, we are
# customizing __getattr__, however, when an object is unserialized,
# Python tries to look for __getstate__ (which triggers calling
# __getattr__), since it cannot find it, it will go to __getitem__
# (given the current implementation of __getattr__). But __getitem__
# uses self.preprocessed. At unserialization time, this attribute does
# not exist yet!, which will cause another call to __getattr__. To avoid
# this recursive loop, we have to prevent special methods to call
# __getitem__ if they do not exist - EnvDict and Env objects are not
# expected to be serialized but we have fix it anyway
env = EnvDict({'a': 1})
assert pickle.loads(pickle.dumps(env))
def __init__(self, source=None):
"""Start the environment
Parameters
----------
source: dict, pathlib.Path, str, optional
If dict, loads it directly, if pathlib.Path, reads the file
(assumes yaml format), if str, looks for a file named that way
in the current directory and their parents. If None, it first looks
for a file named env.{host}.yaml where host is replaced by the
hostname (by calling platform.node()), if it fails, it looks for a
file called env.yaml
Raises
------
FileNotFoundError
If source is None and an environment file cannot be found
automatically
RuntimeError
If one environment has already started
Returns
-------
ploomber.Env
An environment object
"""
if not isinstance(source, EnvDict):
# try to initialize an EnvDict to perform validation, if any
# errors occur, discard object
try:
source = EnvDict(source)
except Exception:
Env.__instance = None
raise
self._data = source
self._fn_name = None
def __init__(self,
data,
env=None,
lazy_import=False,
reload=False,
parent_path=None):
if isinstance(data, (str, Path)):
if parent_path is not None:
raise ValueError('parent_path must be None when '
f'initializing {type(self).__name__} with '
'a path to a YAML spec')
# this is only used to display an error message with the path
# to the loaded file
path_for_errors = data
# resolve the parent path to make sources and products unambiguous
# even if the current working directory changes
path_to_entry_point = Path(data).resolve()
self._parent_path = str(path_to_entry_point.parent)
content = Path(data).read_text()
try:
data = yaml.safe_load(content)
except (yaml.parser.ParserError,
yaml.constructor.ConstructorError) as e:
error = e
else:
error = None
if error:
if '{{' in content or '}}' in content:
raise DAGSpecInitializationError(
'Failed to initialize spec. It looks like '
'you\'re using placeholders (i.e. {{placeholder}}). '
'Make sure values are enclosed in parentheses '
'(e.g. key: "{{placeholder}}"). Original '
'parser error:\n\n'
f'{error}')
else:
raise error
else:
path_for_errors = None
# FIXME: add test cases, some of those features wont work if
# _parent_path is None. We should make sure that we either raise
# an error if _parent_path is needed or use the current working
# directory if it's appropriate - this is mostly to make relative
# paths consistent: they should be relative to the file that
# contains them
self._parent_path = (None if not parent_path else str(
Path(parent_path).resolve()))
# try to look env.yaml in default locations
env_default_path = default.path_to_env(self._parent_path)
self.data = data
if isinstance(self.data, list):
self.data = {'tasks': self.data}
# validate keys defined at the top (nested keys are not validated here)
self._validate_top_keys(self.data, path_for_errors)
logger.debug('DAGSpec enviroment:\n%s', pp.pformat(env))
env = env or dict()
# NOTE: when loading from a path, EnvDict recursively looks
# at parent folders, this is useful when loading envs
# in nested directories where scripts/functions need the env
# but here, since we just need this for the spec, we might
# want to turn it off. should we add a parameter to EnvDict
# to control this?
if env_default_path:
defaults = yaml.safe_load(Path(env_default_path).read_text())
self.env = EnvDict(env,
path_to_here=self._parent_path,
defaults=defaults)
else:
self.env = EnvDict(env, path_to_here=self._parent_path)
self.data = expand_raw_dictionary(self.data, self.env)
logger.debug('Expanded DAGSpec:\n%s', pp.pformat(data))
# if there is a "location" top key, we don't have to do anything else
# as we will just load the dotted path when .to_dag() is called
if 'location' not in self.data:
Meta.initialize_inplace(self.data)
import_tasks_from = self.data['meta']['import_tasks_from']
if import_tasks_from is not None:
# when using a relative path in "import_tasks_from", we must
# make it absolute...
if not Path(import_tasks_from).is_absolute():
# use _parent_path if there is one
if self._parent_path:
self.data['meta']['import_tasks_from'] = str(
Path(self._parent_path, import_tasks_from))
# otherwise just make it absolute
else:
self.data['meta']['import_tasks_from'] = str(
Path(import_tasks_from).resolve())
imported = yaml.safe_load(
Path(self.data['meta']['import_tasks_from']).read_text())
if self.env is not None:
imported = expand_raw_dictionaries(imported, self.env)
# relative paths here are relative to the file where they
# are declared
base_path = Path(self.data['meta']['import_tasks_from']).parent
for task in imported:
add_base_path_to_source_if_relative(task,
base_path=base_path)
self.data['tasks'].extend(imported)
self.data['tasks'] = [
normalize_task(task) for task in self.data['tasks']
]
# make sure the folder where the pipeline is located is in sys.path
# otherwise dynamic imports needed by TaskSpec will fail
with add_to_sys_path(self._parent_path, chdir=False):
self.data['tasks'] = [
TaskSpec(t,
self.data['meta'],
project_root=self._parent_path,
lazy_import=lazy_import,
reload=reload) for t in self.data['tasks']
]
else:
self.data['meta'] = Meta.empty()
def test_add_cli_args_from_env_dict_keys():
parser = ArgumentParser()
_add_cli_args_from_env_dict_keys(parser, EnvDict({'a': 1}))
assert {action.dest for action in parser._actions} == {'env__a', 'help'}
def test_replace_nested_flatten_key_env_dict():
env = EnvDict({'a': {'b': 1}})
new_env = env._replace_flatten_key(2, 'env__a__b')
assert new_env.a.b == 2 and env is not new_env # must return a copy
def test_replace_flatten_key_env_dict():
env = EnvDict({'a': 1})
new_env = env._replace_flatten_key(2, 'env__a')
assert new_env.a == 2 and env is not new_env # must return a copy
def test_default_keys(kwargs, expected):
assert EnvDict(**kwargs).default_keys == expected
def test_replace_nested_flatten_keys_env_dict():
env = EnvDict({'a': {'b': 1, 'c': 1}})
new_env = env._replace_flatten_keys({'env__a__b': 2, 'env__a__c': 2})
assert (new_env.a.b == 2 and new_env.a.c == 2
and env is not new_env) # must return a copy
def test_default_with_here_absolute(tmp_directory):
here = str(Path(tmp_directory, 'dir').resolve())
env = EnvDict(dict(), path_to_here=here)
assert env.here == here
def test_default_with_here_relative(tmp_directory):
Path('dir').mkdir()
env = EnvDict(dict(), path_to_here='dir')
assert env.here == str(Path(tmp_directory, 'dir').resolve())
def test_error_when_flatten_key_doesnt_exist():
env = EnvDict({'a': 1})
with pytest.raises(KeyError):
env._replace_flatten_key(2, 'env__b')