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+Settings for DataJoint using pydantic-settings """ import collections @@ -9,6 +9,11 @@ import pprint from contextlib import contextmanager from enum import Enum +from typing import Any, Dict, Iterator, List, Literal, Optional, Tuple + +from pydantic import Field, field_validator +from pydantic.aliases import AliasChoices +from pydantic_settings import BaseSettings, SettingsConfigDict from .errors import DataJointError @@ -18,9 +23,6 @@ # 2, 2 means that file abcdef is stored as /ab/cd/abcdef DEFAULT_SUBFOLDING = (2, 2) -validators = collections.defaultdict(lambda: lambda value: True) -validators["database.port"] = lambda a: isinstance(a, int) - Role = Enum("Role", "manual lookup imported computed job") role_to_prefix = { Role.manual: "", @@ -31,29 +33,6 @@ } prefix_to_role = dict(zip(role_to_prefix.values(), role_to_prefix)) -default = dict( - { - "database.host": "localhost", - "database.password": None, - "database.user": None, - "database.port": 3306, - "database.reconnect": True, - "connection.init_function": None, - "connection.charset": "", # pymysql uses '' as default - "loglevel": "INFO", - "safemode": True, - "fetch_format": "array", - "display.limit": 12, - "display.width": 14, - "display.show_tuple_count": True, - "database.use_tls": None, - "enable_python_native_blobs": True, # python-native/dj0 encoding support - "add_hidden_timestamp": False, - # file size limit for when to disable checksums - "filepath_checksum_size_limit": None, - } -) - logger = logging.getLogger(__name__.split(".")[0]) log_levels = { "INFO": logging.INFO, @@ -65,40 +44,312 @@ } -class Config(collections.abc.MutableMapping): - instance = None +class DatabaseSettings(BaseSettings): + """Database connection settings""" - def __init__(self, *args, **kwargs): - if not Config.instance: - Config.instance = Config.__Config(*args, **kwargs) - else: - Config.instance._conf.update(dict(*args, **kwargs)) + host: str = "localhost" + password: Optional[str] = None + user: Optional[str] = None + port: int = 3306 + reconnect: bool = True + use_tls: Optional[bool] = None - def __getattr__(self, name): - return getattr(self.instance, name) + model_config = SettingsConfigDict( + env_prefix="DJ_", + case_sensitive=False, + extra="allow", + ) - def __getitem__(self, item): - return self.instance.__getitem__(item) - def __setitem__(self, item, value): - self.instance.__setitem__(item, value) +class ConnectionSettings(BaseSettings): + """Connection settings""" - def __str__(self): - return pprint.pformat(self.instance._conf, indent=4) + init_function: Optional[str] = None + charset: str = "" # pymysql uses '' as default - def __repr__(self): - return self.__str__() + model_config = SettingsConfigDict( + env_prefix="", + case_sensitive=False, + extra="allow", + ) - def __delitem__(self, key): - del self.instance._conf[key] - def __iter__(self): - return iter(self.instance._conf) +class DisplaySettings(BaseSettings): + """Display settings""" + + limit: int = 12 + width: int = 14 + show_tuple_count: bool = True + + model_config = SettingsConfigDict( + env_prefix="", + case_sensitive=False, + extra="allow", + ) + + +class ExternalSettings(BaseSettings): + """External storage settings""" + + aws_access_key_id: Optional[str] = None + aws_secret_access_key: Optional[str] = None + + model_config = SettingsConfigDict( + env_prefix="DJ_", + case_sensitive=False, + extra="allow", + ) + - def __len__(self): - return len(self.instance._conf) +class DataJointSettings(BaseSettings): + """Main DataJoint Settings using Pydantic""" - def save(self, filename, verbose=False): + database: DatabaseSettings = Field(default_factory=DatabaseSettings) + connection: ConnectionSettings = Field(default_factory=ConnectionSettings) + display: DisplaySettings = Field(default_factory=DisplaySettings) + external: ExternalSettings = Field(default_factory=ExternalSettings) + + loglevel: Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = Field( + default="INFO", + validation_alias=AliasChoices("loglevel", "DJ_LOG_LEVEL"), + ) + safemode: bool = True + fetch_format: Literal["array", "frame"] = "array" + enable_python_native_blobs: bool = True + add_hidden_timestamp: bool = False + filepath_checksum_size_limit: Optional[int] = None + + # External stores configuration (not managed by pydantic directly) + stores: Dict[str, Dict[str, Any]] = Field(default_factory=dict) + cache: Optional[str] = None + query_cache: Optional[str] = None + + model_config = SettingsConfigDict( + env_prefix="DJ_", + case_sensitive=False, + extra="allow", + validate_assignment=True, + ) + + @field_validator("cache", "query_cache", mode="before") + @classmethod + def validate_path(cls, v: Any) -> Optional[str]: + """Convert path-like objects to strings""" + if v is None: + return v + # Convert Path-like objects to strings + if hasattr(v, "__fspath__"): + return str(v) + return v + + @field_validator("loglevel") + @classmethod + def validate_loglevel(cls, v: str) -> str: + """Validate and set logging level""" + valid_levels = {"DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"} + if v not in valid_levels: + raise ValueError(f"'{v}' is not a valid logging value {tuple(valid_levels)}") + # Set the logger level + logger.setLevel(v) + return v + + +class ConfigWrapper(collections.abc.MutableMapping): + """ + Wrapper class that provides backward compatibility with the old Config interface. + Wraps a pydantic Settings instance to provide dict-like access with dot notation support. + """ + + def __init__(self, settings: DataJointSettings): + self._settings = settings + self._original_values: Dict[str, Any] = {} # For context manager support + self._extra: Dict[str, Any] = {} # Store arbitrary extra keys not in pydantic model + + @property + def _conf(self) -> Dict[str, Any]: + """Backward compatibility: expose internal config as _conf""" + result = self._to_dict() + result.update(self._extra) + return result + + def _get_nested(self, key: str) -> Any: + """Get a value using dot notation (e.g., 'database.host')""" + # Check if it's in the extra dict first + if key in self._extra: + return self._extra[key] + + parts = key.split(".") + obj = self._settings + + for part in parts: + if hasattr(obj, part): + obj = getattr(obj, part) + elif isinstance(obj, dict): + obj = obj[part] + else: + raise KeyError(f"Key '{key}' not found") + return obj + + def _set_nested(self, key: str, value: Any) -> None: + """Set a value using dot notation (e.g., 'database.host')""" + # Apply validators if they exist + if key in validators and not validators[key](value): + raise DataJointError(f"Validator for {key} did not pass") + + parts = key.split(".") + + if len(parts) == 1: + # Top-level attribute + if hasattr(self._settings, key): + setattr(self._settings, key, value) + else: + # Store in extra dict for arbitrary keys + self._extra[key] = value + else: + # Try to set in pydantic model first + try: + obj = self._settings + for part in parts[:-1]: + if hasattr(obj, part): + obj = getattr(obj, part) + elif isinstance(obj, dict): + if part not in obj: + obj[part] = {} + obj = obj[part] + else: + # Can't navigate, store as arbitrary key + self._extra[key] = value + return + + # Set the final value + final_key = parts[-1] + if hasattr(obj, final_key): + setattr(obj, final_key, value) + elif isinstance(obj, dict): + obj[final_key] = value + else: + # Store as arbitrary key + self._extra[key] = value + except (AttributeError, KeyError): + # If we can't set it in the model, store as arbitrary key + self._extra[key] = value + + # Special handling for loglevel + if key == "loglevel": + logger.setLevel(value) + + def __getitem__(self, key: str) -> Any: + """Get item using dict notation""" + try: + return self._get_nested(key) + except (AttributeError, KeyError): + raise KeyError(f"Key '{key}' not found") + + def __setitem__(self, key: str, value: Any) -> None: + """Set item using dict notation""" + logger.debug(f"Setting {key} to {value}") + self._set_nested(key, value) + + def __delitem__(self, key: str) -> None: + """Delete item by setting it to None (pydantic fields) or removing it (_extra dict)""" + # Check if it's in extra dict first + if key in self._extra: + del self._extra[key] + return + + parts = key.split(".") + if len(parts) == 1: + # For pydantic model fields, set to None instead of deleting + # (deleting would break iteration over model_fields) + if key in self._settings.__class__.model_fields: + setattr(self._settings, key, None) + else: + raise KeyError(f"Key '{key}' not found") + else: + # For nested fields, also set to None + obj = self._settings + for part in parts[:-1]: + obj = getattr(obj, part) + field_name = parts[-1] + if field_name in obj.__class__.model_fields: + setattr(obj, field_name, None) + else: + raise KeyError(f"Key '{key}' not found") + + def __iter__(self) -> Iterator[str]: + """Iterate over all configuration keys (flattened)""" + return iter(self._get_all_keys()) + + def __len__(self) -> int: + """Return number of configuration keys""" + return len(self._get_all_keys()) + + def _get_all_keys(self) -> List[str]: + """Get all configuration keys in flat dot notation""" + keys: List[str] = [] + + def _extract_keys(obj: Any, prefix: str = "") -> None: + if isinstance(obj, BaseSettings): + for field_name in obj.__class__.model_fields: + field_value = getattr(obj, field_name) + full_key = f"{prefix}.{field_name}" if prefix else field_name + if isinstance(field_value, BaseSettings): + _extract_keys(field_value, full_key) + else: + keys.append(full_key) + elif isinstance(obj, dict): + for k, v in obj.items(): + full_key = f"{prefix}.{k}" if prefix else k + if isinstance(v, (dict, BaseSettings)): + _extract_keys(v, full_key) + else: + keys.append(full_key) + + _extract_keys(self._settings) + # Add extra keys + keys.extend(self._extra.keys()) + return keys + + def __str__(self) -> str: + """String representation""" + return pprint.pformat(self._to_dict(), indent=4) + + def __repr__(self) -> str: + """Repr representation""" + return self.__str__() + + def _to_dict(self) -> Dict[str, Any]: + """Convert settings to a flat dict with dot notation keys""" + result: Dict[str, Any] = {} + + def _flatten(obj: Any, prefix: str = "") -> None: + if isinstance(obj, BaseSettings): + for field_name in obj.__class__.model_fields: + field_value = getattr(obj, field_name) + full_key = f"{prefix}.{field_name}" if prefix else field_name + if isinstance(field_value, BaseSettings): + _flatten(field_value, full_key) + elif isinstance(field_value, dict): + result[full_key] = field_value + else: + result[full_key] = field_value + elif isinstance(obj, dict): + for k, v in obj.items(): + full_key = f"{prefix}.{k}" if prefix else k + result[full_key] = v + + _flatten(self._settings) + return result + + def __eq__(self, other: Any) -> bool: + """Compare two Config instances""" + if isinstance(other, ConfigWrapper): + return self._to_dict() == other._to_dict() + elif isinstance(other, dict): + return self._to_dict() == other + return False + + def save(self, filename: str, verbose: bool = False) -> None: """ Saves the settings in JSON format to the given file path. @@ -106,45 +357,51 @@ def save(self, filename, verbose=False): :param verbose: report having saved the settings file """ with open(filename, "w") as fid: - json.dump(self._conf, fid, indent=4) + json.dump(self._to_dict(), fid, indent=4) if verbose: logger.info("Saved settings in " + filename) - def load(self, filename): + def load(self, filename: str) -> None: """ Updates the setting from config file in JSON format. - :param filename: filename of the local JSON settings file. If None, the local config file is used. + :param filename: filename of the local JSON settings file. """ if filename is None: filename = LOCALCONFIG + with open(filename, "r") as fid: logger.info(f"DataJoint is configured from {os.path.abspath(filename)}") - self._conf.update(json.load(fid)) + data = json.load(fid) - def save_local(self, verbose=False): - """ - saves the settings in the local config file - """ + # Update settings from loaded data + for key, value in data.items(): + try: + self[key] = value + except Exception as e: + logger.warning(f"Could not set config key '{key}': {e}") + + def save_local(self, verbose: bool = False) -> None: + """saves the settings in the local config file""" self.save(LOCALCONFIG, verbose) - def save_global(self, verbose=False): - """ - saves the settings in the global config file - """ + def save_global(self, verbose: bool = False) -> None: + """saves the settings in the global config file""" self.save(os.path.expanduser(os.path.join("~", GLOBALCONFIG)), verbose) - def get_store_spec(self, store): + def get_store_spec(self, store: str) -> Dict[str, Any]: """ find configuration of external stores for blobs and attachments """ try: - spec = self["stores"][store] + spec = self._settings.stores[store] except KeyError: - raise DataJointError("Storage {store} is requested but not configured".format(store=store)) + raise DataJointError(f"Storage {store} is requested but not configured") + spec: Dict[str, Any] = dict(spec) # Make a copy spec["subfolding"] = spec.get("subfolding", DEFAULT_SUBFOLDING) - spec_keys = { # REQUIRED in uppercase and allowed in lowercase + + spec_keys_by_protocol: Dict[str, Tuple[str, ...]] = { # REQUIRED in uppercase and allowed in lowercase "file": ("PROTOCOL", "LOCATION", "subfolding", "stage"), "s3": ( "PROTOCOL", @@ -161,17 +418,14 @@ def get_store_spec(self, store): } try: - spec_keys = spec_keys[spec.get("protocol", "").lower()] + spec_keys: Tuple[str, ...] = spec_keys_by_protocol[spec.get("protocol", "").lower()] except KeyError: - raise DataJointError('Missing or invalid protocol in dj.config["stores"]["{store}"]'.format(store=store)) + raise DataJointError(f'Missing or invalid protocol in dj.config["stores"]["{store}"]') # check that all required keys are present in spec try: raise DataJointError( - 'dj.config["stores"]["{store}"] is missing "{k}"'.format( - store=store, - k=next(k.lower() for k in spec_keys if k.isupper() and k.lower() not in spec), - ) + f'dj.config["stores"]["{store}"] is missing "{next(k.lower() for k in spec_keys if k.isupper() and k.lower() not in spec)}"' # noqa: E501 ) except StopIteration: pass @@ -179,10 +433,7 @@ def get_store_spec(self, store): # check that only allowed keys are present in spec try: raise DataJointError( - 'Invalid key "{k}" in dj.config["stores"]["{store}"]'.format( - store=store, - k=next(k for k in spec if k.upper() not in spec_keys and k.lower() not in spec_keys), - ) + f'Invalid key "{next(k for k in spec if k.upper() not in spec_keys and k.lower() not in spec_keys)}" in dj.config["stores"]["{store}"]' # noqa: E501 ) except StopIteration: pass # no invalid keys @@ -190,7 +441,7 @@ def get_store_spec(self, store): return spec @contextmanager - def __call__(self, **kwargs): + def __call__(self, **kwargs: Any) -> Iterator["ConfigWrapper"]: """ The config object can also be used in a with statement to change the state of the configuration temporarily. kwargs to the context manager are the keys into config, where '.' is replaced by a @@ -201,95 +452,153 @@ def __call__(self, **kwargs): >>> with dj.config(safemode=False, database__host="localhost") as cfg: >>> # do dangerous stuff here """ + # Save current values + backup_values: Dict[str, Any] = {} + converted_kwargs: Dict[str, Any] = {k.replace("__", "."): v for k, v in kwargs.items()} try: - backup = self.instance - self.instance = Config.__Config(self.instance._conf) - new = {k.replace("__", "."): v for k, v in kwargs.items()} - self.instance._conf.update(new) - yield self - except: - self.instance = backup - raise - else: - self.instance = backup + # Save original values + for key in converted_kwargs: + try: + backup_values[key] = self[key] + except KeyError: + backup_values[key] = None - class __Config: - """ - Stores datajoint settings. Behaves like a dictionary, but applies validator functions - when certain keys are set. + # Apply new values + for key, value in converted_kwargs.items(): + self[key] = value - The default parameters are stored in datajoint.settings.default . If a local config file - exists, the settings specified in this file override the default settings. - """ + yield self - def __init__(self, *args, **kwargs): - self._conf = dict(default) - # use the free update to set keys - self._conf.update(dict(*args, **kwargs)) + finally: + # Restore original values + for key, value in backup_values.items(): + if value is not None: + self[key] = value + + +# Default configuration dictionary for backward compatibility +default = { + "database.host": "localhost", + "database.password": None, + "database.user": None, + "database.port": 3306, + "database.reconnect": True, + "connection.init_function": None, + "connection.charset": "", + "loglevel": "INFO", + "safemode": True, + "fetch_format": "array", + "display.limit": 12, + "display.width": 14, + "display.show_tuple_count": True, + "database.use_tls": None, + "enable_python_native_blobs": True, + "add_hidden_timestamp": False, + "filepath_checksum_size_limit": None, +} - def __getitem__(self, key): - return self._conf[key] +# Validators for backward compatibility +validators = collections.defaultdict(lambda: lambda value: True) +validators["database.port"] = lambda a: isinstance(a, int) - def __setitem__(self, key, value): - logger.debug("Setting {0:s} to {1:s}".format(str(key), str(value))) - if validators[key](value): - self._conf[key] = value - else: - raise DataJointError("Validator for {0:s} did not pass".format(key)) - valid_logging_levels = {"DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"} - if key == "loglevel": - if value not in valid_logging_levels: - raise ValueError(f"'{value}' is not a valid logging value {tuple(valid_logging_levels)}") - logger.setLevel(value) +# Create settings instance +_settings = DataJointSettings() + +# Create config wrapper for backward compatibility +config = ConfigWrapper(_settings) # Load configuration from file -config = Config() config_files = (os.path.expanduser(n) for n in (LOCALCONFIG, os.path.join("~", GLOBALCONFIG))) try: config.load(next(n for n in config_files if os.path.exists(n))) except StopIteration: logger.info("No config file was found.") -# override login credentials with environment variables -mapping = { - k: v - for k, v in zip( - ( - "database.host", - "database.user", - "database.password", - "database.port", - "external.aws_access_key_id", - "external.aws_secret_access_key", - "loglevel", - ), - map( - os.getenv, - ( - "DJ_HOST", - "DJ_USER", - "DJ_PASS", - "DJ_PORT", - "DJ_AWS_ACCESS_KEY_ID", - "DJ_AWS_SECRET_ACCESS_KEY", - "DJ_LOG_LEVEL", - ), - ), - ) - if v is not None -} +# Override login credentials with environment variables +# Note: pydantic-settings already handles this through validation_alias, +# but we keep this for any custom env vars not directly mapped +mapping = {} + +# Check for any environment variables that weren't caught by pydantic +for env_key, config_key in [ + ("DJ_HOST", "database.host"), + ("DJ_USER", "database.user"), + ("DJ_PASS", "database.password"), + ("DJ_PORT", "database.port"), + ("DJ_AWS_ACCESS_KEY_ID", "external.aws_access_key_id"), + ("DJ_AWS_SECRET_ACCESS_KEY", "external.aws_secret_access_key"), + ("DJ_LOG_LEVEL", "loglevel"), +]: + env_value = os.getenv(env_key) + if env_value is not None: + # Only add to mapping if pydantic didn't already set it + try: + current_value = config[config_key] + if current_value is None or (config_key == "database.port" and current_value == 3306): + if config_key == "database.port": + try: + mapping[config_key] = int(env_value) + except ValueError: + logger.warning(f"Invalid DJ_PORT value: {env_value}, using default port 3306") + else: + mapping[config_key] = env_value + except KeyError: + # Key doesn't exist yet, add it + if config_key == "database.port": + try: + mapping[config_key] = int(env_value) + except ValueError: + logger.warning(f"Invalid DJ_PORT value: {env_value}, using default port 3306") + else: + mapping[config_key] = env_value -# Convert DJ_PORT from string to int if present -if "database.port" in mapping and mapping["database.port"] is not None: - try: - mapping["database.port"] = int(mapping["database.port"]) - except ValueError: - logger.warning(f"Invalid DJ_PORT value: {mapping['database.port']}, using default port 3306") - del mapping["database.port"] if mapping: - logger.info(f"Overloaded settings {tuple(mapping)} from environment variables.") - config.update(mapping) + logger.info(f"Overloaded settings {tuple(mapping.keys())} from environment variables.") + for key, value in mapping.items(): + config[key] = value +# Set logging level logger.setLevel(log_levels[config["loglevel"]]) + + +# Maintain singleton behavior for compatibility +class Config: + """ + Backward compatibility class that mimics the old Config singleton behavior. + This redirects all access to the global config instance. + """ + + instance = None + + def __init__(self, *args: Any, **kwargs: Any) -> None: + # Always use the global config instance + pass + + def __getattr__(self, name: str) -> Any: + return getattr(config, name) + + def __getitem__(self, item: str) -> Any: + return config[item] + + def __setitem__(self, item: str, value: Any) -> None: + config[item] = value + + def __str__(self) -> str: + return str(config) + + def __repr__(self) -> str: + return repr(config) + + def __delitem__(self, key: str) -> None: + del config[key] + + def __iter__(self) -> Iterator[str]: + return iter(config) + + def __len__(self) -> int: + return len(config) + + def __eq__(self, other: Any) -> bool: + return config.__eq__(other)