def init_repo(repo_path: Text, artifact_store_path: Text = None,
metadata_store: Optional[ZenMLMetadataStore] = None,
pipelines_dir: Text = None,
analytics_opt_in: bool = None):
"""
Initializes a git repo with zenml.
Args:
repo_path (str): path to root of a git repo
metadata_store: metadata store definition
artifact_store_path (str): path where to store artifacts
pipelines_dir (str): path where to store pipeline configs.
analytics_opt_in (str): opt-in flag for analytics code.
Raises:
InvalidGitRepositoryError: If repository is not a git repository.
NoSuchPathError: If the repo_path does not exist.
"""
# check whether its a git repo by initializing GitWrapper
git_wrapper = GitWrapper(repo_path)
# Do proper checks and add to .gitignore
git_wrapper.add_gitignore([ZENML_DIR_NAME + '/'])
# use the underlying ZenMLConfig class to create the config
ZenMLConfig.to_config(
repo_path, artifact_store_path, metadata_store, pipelines_dir)
# create global config
global_config = GlobalConfig.get_instance()
if analytics_opt_in is not None:
global_config.set_analytics_opt_in(analytics_opt_in)
def test_to_from_config(equal_zenml_configs):
# TODO: This is messed up
cfg1 = ZenMLConfig(repo_path=config_root)
cfg2 = cfg1.from_config(cfg1.to_config(path=config_root))
assert equal_zenml_configs(cfg1, cfg2, loaded=True)
