refactor: Rename configs to uk_gfs_configs and remove non-GFS yamls

docs/getting_started.md

@@ -727,20 +727,20 @@ Common error messages and their solutions:
 ## Running PVNet Model
 
 1. Update configuration file
-  Go to src/open_data_pvnet/configs/PVNet_configs/datamodule/streamed_batches.yaml
+  Go to src/open_data_pvnet/uk_gfs_configs/PVNet_configs/datamodule/streamed_batches.yaml
 
   Change values if desired (increase at your discretion):
   num_train_samples: 5
   num_val_samples: 5
 
-2. Update src/open_data_pvnet/configs/PVNet_configs/datamodule/premade_batches.yaml
-  Change this line to configuration: <your_directory...open-data-pvnet/src/open_data_pvnet/configs/PVNet_configs/datamodule/configuration/example_configuration.yaml>
+2. Update src/open_data_pvnet/uk_gfs_configs/PVNet_configs/datamodule/premade_batches.yaml
+  Change this line to configuration: <your_directory...open-data-pvnet/src/open_data_pvnet/uk_gfs_configs/PVNet_configs/datamodule/configuration/example_configuration.yaml>
 
-3. Update src/open_data_pvnet/configs/PVNet_configs/config.yaml
+3. Update src/open_data_pvnet/uk_gfs_configs/PVNet_configs/config.yaml
   Change the line to - datamodule: premade_batches.yaml
 
 4. Open a Weights & Biases Account https://wandb.ai/
-  Go to src/open_data_pvnet/configs/PVNet_configs/logger/wandb.yaml
+  Go to src/open_data_pvnet/uk_gfs_configs/PVNet_configs/logger/wandb.yaml
   Change to project: "GFS_TEST_RUN"
   Change to save_dir: "GFS_TEST_RUN"
 

run.py

@@ -39,7 +39,7 @@
 
 
 @hydra.main(
-    config_path="src/open_data_pvnet/configs/PVNet_configs",
+    config_path="src/open_data_pvnet/uk_gfs_configs/PVNet_configs",
     config_name="config.yaml",
     version_base="1.2",
 )

src/open_data_pvnet/nwp/gfs_dataset.py

@@ -201,7 +201,7 @@ def _normalize_sample(self, dataset: xr.Dataset) -> xr.Dataset:
 # # Uncomment the block below to test
 # if __name__ == "__main__":
 #     dataset_path = "s3://ocf-open-data-pvnet/data/gfs.zarr"
-#     config_path = "src/open_data_pvnet/configs/gfs_data_config.yaml"
+#     config_path = "src/open_data_pvnet/uk_gfs_configs/gfs_data_config.yaml"
 #     dataset = open_gfs(dataset_path)
 #     dataset = handle_nan_values(dataset, method="fill", fill_value=0.0)
 #     sampler = GFSDataSampler(dataset, config_filename=config_path, start_time="2023-01-01T00:00:00", end_time="2023-01-30T00:00:00")

src/open_data_pvnet/scripts/save_samples.py

@@ -125,7 +125,7 @@ def save_samples_with_dataloader(
     pbar.close()
 
 
-@hydra.main(config_path="../configs/PVNet_configs", config_name="config.yaml", version_base="1.2")
+@hydra.main(config_path="../uk_gfs_configs/PVNet_configs", config_name="config.yaml", version_base="1.2")
 def main(config: DictConfig) -> None:
     """Constructs and saves validation and training samples."""
     config_dm = config.datamodule