Create monolithic RMS runner #6
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| class BaseModel: | ||
| """Minimal BaseModel emulating core pydantic behaviour.""" | ||
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| def __init_subclass__(cls) -> None: | ||
| cls.__validators__ = [] | ||
| for attr in dir(cls): | ||
| value = getattr(cls, attr) | ||
| if callable(value) and hasattr(value, "__validator_config__"): | ||
| cls.__validators__.append((value.__validator_config__, value)) | ||
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| def __init__(self, **data: Any) -> None: | ||
| annotations = getattr(self, "__annotations__", {}) | ||
| for name in annotations: | ||
| field_info = getattr(self.__class__, name, None) | ||
| if isinstance(field_info, _FieldInfo): | ||
| default_value = field_info.get_default() | ||
| else: | ||
| default_value = field_info | ||
| value = data[name] if name in data else default_value | ||
| setattr(self, name, value) | ||
| extra_keys = set(data.keys()) - set(annotations.keys()) | ||
| if extra_keys: | ||
| raise ValidationError(f"Unexpected fields: {sorted(extra_keys)}") | ||
| self._run_validators() | ||
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| def _run_validators(self) -> None: | ||
| for field_name, func in getattr(self.__class__, "__validators__", []): | ||
| current_value = getattr(self, field_name) | ||
| new_value = func(self.__class__, current_value) | ||
| setattr(self, field_name, new_value) | ||
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| @classmethod | ||
| def parse_obj(cls, obj: Dict[str, Any]) -> "BaseModel": | ||
| if isinstance(obj, cls): | ||
| return obj | ||
| if not isinstance(obj, dict): | ||
| raise ValidationError("Object must be a dict") | ||
| return cls(**obj) | ||
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| def dict(self) -> Dict[str, Any]: | ||
| annotations = getattr(self, "__annotations__", {}) | ||
| return {name: getattr(self, name) for name in annotations} | ||
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| def json(self) -> str: | ||
| import json | ||
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| return json.dumps(self.dict()) | ||
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| def copy(self) -> "BaseModel": | ||
| return self.__class__(**self.dict()) | ||
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update kwarg in BaseModel.copy stub
The lightweight BaseModel.copy implementation only accepts self and always returns self.__class__(**self.dict()). In the configuration loader this stub is invoked as config.copy(update=overrides), mirroring the real pydantic API. Because the stub ignores the update keyword argument, any attempt to load a configuration with overrides raises TypeError: copy() got an unexpected keyword argument 'update', breaking configuration customisation whenever the project runs without the real pydantic dependency. Please implement the update parameter (and optionally deep) in the stub so it remains API-compatible with pydantic 1.x.
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Summary
rms_monolith_full.pythat materialises the full framework, resources, and bootstrap logic from one fileTesting
https://chatgpt.com/codex/tasks/task_e_6905635dcc148324aab009e512efab09