Files
met_office_radar_data/modules/batch_nimrod.py
T
2025-11-11 18:42:49 +00:00

47 lines
1.7 KiB
Python

from modules.nimrod import Nimrod
import os
from pathlib import Path
import logging
class BatchNimrod():
def __init__(self, config) -> None:
self.config = config
def process_nimrod_files(self) -> None:
"""
Process all Nimrod files in the input directory, applying bounding box clipping
and exporting to ASC format.
This function reads all files from DAT_TOP_FOLDER, applies the appropriate bounding
box for each area, and exports clipped raster data to OUT_TOP_FOLDER.
"""
# Read all file names in the folder
files_to_process = [f for f in os.listdir(Path(self.config.DAT_TOP_FOLDER))]
logging.info(f"Processing {len(files_to_process)} files...")
for in_file in os.listdir(Path(self.config.DAT_TOP_FOLDER)):
in_file_full = Path(self.config.DAT_TOP_FOLDER, in_file)
try:
image = Nimrod(open(in_file_full, "rb"))
out_file_name = f"{image.get_validity_time()}.asc"
out_file_path = Path(self.config.ASC_TOP_FOLDER, out_file_name)
with open(out_file_path, "w") as outfile:
image.extract_asc(outfile)
# delete dat file here
logging.debug(f"Successfully processed: {in_file_full}")
except Nimrod.HeaderReadError as e:
logging.error(f"Failed to read file {in_file_full}, is it corrupt?")
logging.error(e)
continue
except Nimrod.PayloadReadError as e:
logging.error(f"Failed to load the raster data in {in_file_full}")
logging.error(e)
continue