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324 | @dataclass
class lineapy_config:
"""
A dataclass that holds configuration items and sets them as environmental
variables. All items are initialized with default value. Then replace
with values in the configuration file (if it is existing in LINEAPY_HOME_DIR,
use this one, otherwise look for home directory) if available. Then,
replace with values in environmental variables if possible. Finally, it sets
all values in environmental variables.
Attributes
----------
home_dir: Path
Home directory of LineaPy (must be local)
database_url: Optional[str]
Database connection string for LineaPy database
artifact_storage_dir: Optional[FilePath]
Directory for storing artifacts
customized_annotation_folder: Optional[FilePath]
Directory for storing customized annotations
do_not_track: bool
Opt out or user analytics
logging_level: str
Logging level
logging_file: Optional[Path]
Logging file location (only support local for at this time)
storage_options: Optional[Dict[str, Any]]
Dictionary for artifact storage configuration
(same as storage_options in pandas, Dask and fsspec)
mlflow_registry_uri: Optional[str]
URI for MLflow registry
mlflow_tracking_uri: Optional[str]
URI for MLflow tracking
default_ml_models_storage_backend: Optional[ARTIFACT_STORAGE_BACKEND]
Default storage backend if at least one of mlflow_tracking_uri
or mlflow_registry_uri is not empty
"""
home_dir: Path
database_url: Optional[str]
artifact_storage_dir: Optional[FilePath]
customized_annotation_folder: Optional[FilePath]
do_not_track: bool
logging_level: str
logging_file: Optional[Path]
storage_options: Optional[Dict[str, Any]]
mlflow_registry_uri: Optional[str]
mlflow_tracking_uri: Optional[str]
default_ml_models_storage_backend: Optional[ARTIFACT_STORAGE_BACKEND]
def __init__(
self,
home_dir=f"{Path(os.environ.get('HOME','~')).expanduser().resolve()}/{LINEAPY_FOLDER_NAME}",
database_url=None,
artifact_storage_dir=None,
customized_annotation_folder=None,
do_not_track=False,
logging_level="INFO",
logging_file=None,
storage_options=None,
mlflow_registry_uri=None,
mlflow_tracking_uri=None,
default_ml_models_storage_backend=None,
):
if logging_level.isdigit():
logging_level = logging._levelToName[int(logging_level)]
self.home_dir = Path(home_dir).expanduser()
self.storage_options = storage_options
self.database_url = database_url
self.artifact_storage_dir = artifact_storage_dir
self.customized_annotation_folder = customized_annotation_folder
self.do_not_track = do_not_track
self.logging_level = logging_level
self.logging_file = logging_file
self.dev_id = None
self.mlflow_registry_uri = mlflow_registry_uri
self.mlflow_tracking_uri = mlflow_tracking_uri
self.default_ml_models_storage_backend = (
default_ml_models_storage_backend
)
# config file
config_file_path = Path(
os.environ.get(
"LINEAPY_HOME_DIR",
f"{Path(os.environ.get('HOME','~')).expanduser().resolve()}/{LINEAPY_FOLDER_NAME}",
)
).joinpath(CONFIG_FILE_NAME)
if config_file_path.exists():
with open(config_file_path, "r") as f:
_read_config = json.load(f)
else:
config_file_path = (
Path(os.environ.get("HOME", "~"))
.expanduser()
.resolve()
.joinpath(CONFIG_FILE_NAME)
)
if config_file_path.exists():
with open(config_file_path, "r") as f:
_read_config = json.load(f)
else:
_read_config = {}
# env vars
for key, default_value in self.__dict__.items():
env_var_value = os.environ.get(f"LINEAPY_{key.upper()}")
config_value = _read_config.get(key, None)
# set config value based on environ -> config -> default
if env_var_value is not None:
# special logic to handle serialization of storage options
if key == "storage_options":
env_var_value = json.loads(env_var_value)
self.set(key, env_var_value, verbose=False)
elif config_value is not None:
self.set(key, config_value, verbose=False)
elif default_value is not None:
self.set(key, default_value, verbose=False)
self._set_defaults()
def get(self, key: str) -> Any:
"""Get LineaPy config field"""
if key in self.__dict__.keys():
# fill empty default_ml_models_storage_backend if
# mlflow_registry_uri or mlflow_tracking_uri is set
if (
key == "default_ml_models_storage_backend"
and (getattr(self, key) is None)
and (
(getattr(self, "mlflow_tracking_uri") is not None)
or (getattr(self, "mlflow_registry_uri") is not None)
)
):
self.set(
"default_ml_models_storage_backend",
DEFAULT_ML_MODELS_STORAGE_BACKEND,
)
return getattr(self, key)
else:
logger.error(key, "is not a lineapy config item")
raise NotImplementedError
def set(self, key: str, value: Any, verbose=True) -> None:
"""Set LineaPy config field"""
if key not in self.__dict__.keys():
logger.error(key, "is not a lineapy config item")
raise NotImplementedError
else:
if key == "database_url":
try:
new_db = create_lineadb_engine(value)
self.__dict__[key] = value
os.environ[f"LINEAPY_{key.upper()}"] = str(value)
if verbose:
logger.warning(
f"LineaPy database is changed to {value}, resetting notebook session in next cell"
)
except Exception as e:
logger.warning(
f"LineaPy cannot connect to {value}. Is this a valid database connection string? Ignore setting LineaPy database."
)
else:
self.__dict__[key] = value
# special logic to handle serialization of storage options
if key == "storage_options":
os.environ[f"LINEAPY_{key.upper()}"] = json.dumps(value)
else:
os.environ[f"LINEAPY_{key.upper()}"] = str(value)
if key == "mlflow_registry_uri":
if "mlflow" in sys.modules:
mlflow.set_registry_uri(value)
else:
raise ModuleNotFoundError("mlflow is not installed")
if key == "mlflow_tracking_uri":
if "mlflow" in sys.modules:
mlflow.set_tracking_uri(value)
else:
raise ModuleNotFoundError("mlflow is not installed")
# Send a heartbeat to artifact_storage_dir
if key == "artifact_storage_dir":
storage_options = (
{}
if self.storage_options is None
else self.storage_options
)
with fsspec.open(
str(self.safe_get("artifact_storage_dir")).rstrip("/")
+ "/heartbeat",
"w",
**storage_options,
) as f:
f.write(
datetime.datetime.utcnow().strftime("%Y%m%d%H%M%S")
)
def _set_defaults(self):
"""
Fill empty configuration items
"""
self.safe_get("logging_file")
self.safe_get("database_url")
self.safe_get("artifact_storage_dir")
self.safe_get("customized_annotation_folder")
def safe_get(self, name) -> FilePath:
def safe_get_folder(name) -> FilePath:
"""
Return folder as FilePath
Create the folder if it doesn't exist
"""
if isinstance(self.__dict__[name], Path) or isinstance(
fsspec.core.url_to_fs(self.__dict__[name])[0],
LocalFileSystem,
):
local_path = Path(self.__dict__[name]).resolve()
if not local_path.exists():
logger.warning(
f"Folder {local_path.as_posix()} does not exist. Creating a new one."
)
local_path.mkdir(parents=True, exist_ok=True)
return local_path
return self.__dict__[name]
# Return logging_file path, use LINEAPY_HOME_DIR/LOG_FILE_NAME if empty
if name == "logging_file":
if self.logging_file is None:
logging_file = Path(safe_get_folder("home_dir")).joinpath(
LOG_FILE_NAME
)
self.set("logging_file", logging_file, verbose=False)
else:
logging_file = Path(str(self.logging_file))
return logging_file
# Return LINEAPY_DATABASE_url, use sqlite:///{LINEAPY_HOME_DIR}/{DB_FILE_NAME} if empty
elif name == "database_url":
if self.database_url is None:
self.set(
"database_url",
f"sqlite:///{Path(safe_get_folder('home_dir')).as_posix()}/{DB_FILE_NAME}",
verbose=False,
)
return str(self.database_url)
# Return LINEAPY_ARTIFACT_STORAGE_DIR, use LINEAPY_HOME_DIR/FILE_PICKLER_BASEDIR if empty
elif name == "artifact_storage_dir":
if self.artifact_storage_dir is None:
self.set(
"artifact_storage_dir",
Path(safe_get_folder("home_dir")).joinpath(
FILE_PICKLER_BASEDIR
),
verbose=False,
)
return safe_get_folder("artifact_storage_dir")
# Return LINEAPY_CUSTOMIZED_ANNOTATION_FOLDER, use LINEAPY_HOME_DIR/CUSTOM_ANNOTATIONS_FOLDER_NAME if empty
elif name == "customized_annotation_folder":
if self.customized_annotation_folder is None:
self.set(
"customized_annotation_folder",
Path(safe_get_folder("home_dir")).joinpath(
CUSTOM_ANNOTATIONS_FOLDER_NAME
),
verbose=False,
)
return safe_get_folder("customized_annotation_folder")
elif name == "dev_id":
if self.dev_id is None:
dev_id_file = Path(safe_get_folder("home_dir")).joinpath(
DEVICE_ID_FILE_NAME
)
self.set(
"dev_id",
dev_id_file,
verbose=False,
)
else:
dev_id_file = logging_file = Path(str(self.dev_id))
return dev_id_file
else:
return self.get(name)
|