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1 Commits
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9aaf8a5e88
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@@ -15,7 +15,7 @@ The project consists of a main pipeline workflow that processes multiple modules
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### main.py
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- **Startup Safety Check**: Scans the `COMBINED_FOLDER` at startup and warns the user if existing files are found, offering a chance to abort to prevent accidental data mixing.
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- **Startup Safety Check**: Scans the `COMBINED_FOLDER` at startup and warns the user if existing files are found, Deleting existing files if continue is accepted.
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- **Batch Processing**: Processes input tar files in configurable batches to manage resource usage.
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- **End-to-End Processing**: Extracts GZ files, processes DAT/ASC, and appends to CSV in a single thread per file.
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- **Concurrency**: Uses multi-threading to process individual GZ files within a batch concurrently.
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@@ -92,13 +92,16 @@ if __name__ == "__main__":
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f"Found {len(existing_combined)} files in {Config.COMBINED_FOLDER}"
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)
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logging.warning(
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"You may want to remove these before continuing to avoid duplicates or messy data."
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"If you continue these WILL BE DELETED, Please make sure you have them saved."
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)
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logging.warning("!" * 80)
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response = input("Continue? (Y/N): ").strip().lower()
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if response != "y":
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logging.info("Aborting...")
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exit(0)
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else:
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shutil.rmtree(Path(Config.COMBINED_FOLDER)) # Delete everything including the directory
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Path(Config.COMBINED_FOLDER).mkdir()
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extraction = Extract(Config)
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batch = BatchNimrod(Config)
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@@ -130,12 +133,6 @@ if __name__ == "__main__":
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# 1. Extract batch (TAR -> GZ)
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logging.info("Extracting tar files for batch")
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extraction.extract_tar_batch(batch_files)
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# Note: We do NOT run extract_gz_batch anymore. We will find GZ files and process them.
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# Get list of GZ files (recursively or flat?)
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# extract_tar_batch puts them in GZ_TOP_FOLDER/tar_name_without_ext
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# So we need to look there.
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# Ideally we know where we put them.
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gz_files_to_process = []
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for tar_file in batch_files:
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+2
-2
@@ -1,7 +1,7 @@
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[project]
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name = "met-office"
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version = "1.3.1"
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description = "Convert .dat nimrod files to .asc files"
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version = "1.3.2"
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description = "Convert nimrod files to .csv timeseries"
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readme = "README.md"
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requires-python = ">=3.14"
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dependencies = [
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