"""``kedro.framework.project`` module provides utitlity to
configure a Kedro project and access its settings."""
# pylint: disable=redefined-outer-name,unused-argument,global-statement
import importlib
import operator
from collections.abc import MutableMapping
from typing import Dict, Optional
from warnings import warn
from dynaconf import LazySettings
from dynaconf.validator import ValidationError, Validator
from kedro.framework.hooks import get_hook_manager
from kedro.framework.hooks.manager import _register_hooks, _register_hooks_setuptools
from kedro.pipeline import Pipeline
def _get_default_class(class_import_path):
module, _, class_name = class_import_path.rpartition(".")
def validator_func(settings, validators):
return getattr(importlib.import_module(module), class_name)
return validator_func
class _IsSubclassValidator(Validator):
"""A validator to check if the supplied setting value is a subclass of the default class"""
def validate(self, settings, *args, **kwargs):
super().validate(settings, *args, **kwargs)
default_class = self.default(settings, self)
for name in self.names:
setting_value = getattr(settings, name)
if not issubclass(setting_value, default_class):
raise ValidationError(
f"Invalid value `{setting_value.__module__}.{setting_value.__qualname__}` "
f"received for setting `{name}`. It must be a subclass of "
f"`{default_class.__module__}.{default_class.__qualname__}`."
)
class _ProjectSettings(LazySettings):
"""Define all settings available for users to configure in Kedro,
along with their validation rules and default values.
Use Dynaconf's LazySettings as base.
"""
_CONF_ROOT = Validator("CONF_ROOT", default="conf")
_HOOKS = Validator("HOOKS", default=tuple())
_CONTEXT_CLASS = Validator(
"CONTEXT_CLASS",
default=_get_default_class("kedro.framework.context.KedroContext"),
)
_SESSION_STORE_CLASS = _IsSubclassValidator(
"SESSION_STORE_CLASS",
default=_get_default_class("kedro.framework.session.session.BaseSessionStore"),
)
_SESSION_STORE_ARGS = Validator("SESSION_STORE_ARGS", default={})
_DISABLE_HOOKS_FOR_PLUGINS = Validator("DISABLE_HOOKS_FOR_PLUGINS", default=tuple())
def __init__(self, *args, **kwargs):
kwargs.update(
validators=[
self._CONF_ROOT,
self._HOOKS,
self._CONTEXT_CLASS,
self._SESSION_STORE_CLASS,
self._SESSION_STORE_ARGS,
self._DISABLE_HOOKS_FOR_PLUGINS,
]
)
super().__init__(*args, **kwargs)
def _load_data_wrapper(func):
"""Wrap a method in _ProjectPipelines so that data is loaded on first access.
Taking inspiration from dynaconf.utils.functional.new_method_proxy
"""
# pylint: disable=protected-access
def inner(self, *args, **kwargs):
self._load_data()
return func(self._content, *args, **kwargs)
return inner
class _ProjectPipelines(MutableMapping):
"""A read-only lazy dictionary-like object to hold the project pipelines.
On configure it will store the pipelines module.
On first data access, e.g. through __getitem__, it will load the registered pipelines and merge
them with pipelines defined from hooks.
"""
def __init__(self) -> None:
self._pipelines_module: Optional[str] = None
self._is_data_loaded = False
self._content: Dict[str, Pipeline] = {}
@staticmethod
def _get_pipelines_registry_callable(pipelines_module: str):
module_obj = importlib.import_module(pipelines_module)
register_pipelines = getattr(module_obj, "register_pipelines")
return register_pipelines
def _load_data(self):
"""Lazily read pipelines defined in the pipelines registry module"""
# If the pipelines dictionary has not been configured with a pipelines module
# or if data has been loaded
if self._pipelines_module is None or self._is_data_loaded:
return
try:
register_pipelines = self._get_pipelines_registry_callable(
self._pipelines_module
)
except (ModuleNotFoundError, AttributeError) as exc:
# for backwards compatibility with templates < 0.17.2
# where no pipelines_registry is defined
if self._pipelines_module in str(exc): # pragma: no cover
project_pipelines = {}
else:
raise
else:
project_pipelines = register_pipelines()
hook_manager = get_hook_manager()
pipelines_dicts = (
hook_manager.hook.register_pipelines() # pylint: disable=no-member
)
for pipeline_collection in pipelines_dicts:
duplicate_keys = pipeline_collection.keys() & project_pipelines.keys()
if duplicate_keys:
warn(
f"Found duplicate pipeline entries. "
f"The following will be overwritten: {', '.join(duplicate_keys)}"
)
project_pipelines.update(pipeline_collection)
self._content = project_pipelines
self._is_data_loaded = True
def configure(self, pipelines_module: str) -> None:
"""Configure the pipelines_module to load the pipelines dictionary.
Reset the data loading state so that after every `configure` call,
data are reloaded.
"""
self._clear(pipelines_module)
def _clear(self, pipelines_module: str) -> None:
"""Helper method to clear the pipelines so new content will be reloaded
next time data is accessed. Useful for testing purpose.
"""
self._is_data_loaded = False
self._pipelines_module = pipelines_module
# Dict-like interface
__getitem__ = _load_data_wrapper(operator.getitem)
__setitem__ = _load_data_wrapper(operator.setitem)
__delitem__ = _load_data_wrapper(operator.delitem)
__iter__ = _load_data_wrapper(iter)
__len__ = _load_data_wrapper(len)
# Presentation methods
__repr__ = _load_data_wrapper(repr)
__str__ = _load_data_wrapper(str)
PACKAGE_NAME = None
settings = _ProjectSettings()
pipelines = _ProjectPipelines()
[docs]def validate_settings():
"""Eagerly validate that the settings module is importable. This is desirable to
surface any syntax or import errors early. In particular, without eagerly importing
the settings module, dynaconf would silence any import error (e.g. missing
dependency, missing/mislabelled pipeline), and users would instead get a cryptic
error message ``Expected an instance of `ConfigLoader`, got `NoneType` instead``.
More info on the dynaconf issue: https://github.com/rochacbruno/dynaconf/issues/460
"""
importlib.import_module(f"{PACKAGE_NAME}.settings")