| """Weather processor (placeholder). | |
| The bio modalities use a per-modality processor to turn raw inputs into | |
| encoder tensors. Weather is different: the ``ERA5QwenVLDataset`` (in | |
| ``mkb/modalities/weather/data/era5_dataset.py``) directly emits all | |
| encoder tensors plus the chat-template placeholder. This file exists | |
| only so that ``BaseProcessor``-style callers — if any — see a concrete | |
| class for the modality. | |
| """ | |
| from __future__ import annotations | |
| from typing import Any, Dict, Optional, Tuple | |
| class WeatherProcessor: | |
| """No-op processor; the dataset class does the real work.""" | |
| modality_name = "weather" | |
| def process_input(self, raw_input: Any, **kwargs) -> Dict[str, Any]: | |
| raise NotImplementedError( | |
| "Weather inputs come straight from ERA5QwenVLDataset; the dataset " | |
| "produces encoder-ready tensors directly." | |
| ) | |
| def build_placeholder( | |
| self, raw_input: Any, is_output: bool = False, **kwargs, | |
| ) -> Tuple[str, Optional[Any]]: | |
| raise NotImplementedError( | |
| "Use the chat-template helper in mkb/modalities/weather/data/era5_dataset.py." | |
| ) | |