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70 lines
1.9 KiB
Python
70 lines
1.9 KiB
Python
"""Generic YAML loader with Pydantic validation."""
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from pathlib import Path
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from typing import TypeVar, Type
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import yaml
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from pydantic import BaseModel, ValidationError
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T = TypeVar("T", bound=BaseModel)
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class ConfigError(Exception):
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"""Configuration loading and validation error."""
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pass
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def load_yaml(path: Path, model_class: Type[T]) -> T:
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"""Load and validate YAML configuration file.
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Args:
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path: Path to YAML file (str or Path object)
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model_class: Pydantic model class to validate against
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Returns:
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Validated model instance of type T
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Raises:
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ConfigError: On file not found, YAML parsing error, or validation failure
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"""
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# Coerce str to Path if needed
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if isinstance(path, str):
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path = Path(path)
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try:
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with open(path, "r", encoding="utf-8") as f:
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data = yaml.safe_load(f)
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except FileNotFoundError as e:
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raise ConfigError(f"Configuration file not found: {path}") from e
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except yaml.YAMLError as e:
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raise ConfigError(f"YAML parsing error: {e}") from e
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try:
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return model_class.model_validate(data)
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except ValidationError as e:
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raise ConfigError(f"Configuration validation failed: {e}") from e
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def save_yaml(path: Path, model: BaseModel) -> None:
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"""Save Pydantic model to YAML file.
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Args:
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path: Path to YAML file (str or Path object)
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model: Pydantic model instance to save
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Raises:
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ConfigError: On file write error
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"""
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# Coerce str to Path if needed
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if isinstance(path, str):
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path = Path(path)
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try:
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data = model.model_dump(exclude_unset=True)
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with open(path, "w", encoding="utf-8") as f:
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yaml.dump(data, f, default_flow_style=False, allow_unicode=True)
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except Exception as e:
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raise ConfigError(f"Failed to save configuration to {path}: {e}") from e
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