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cleaning/extract.py
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cleaning/extract.py
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#!/usr/bin/env python3
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"""
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Extract the first N lines from a huge file without loading it into RAM.
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Works because Python file objects are iterators: reading line-by-line
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only ever keeps one line (plus a small internal read-ahead buffer) in
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memory at a time, regardless of the file's total size.
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Usage:
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python extract_lines.py input.txt output.txt --lines 500
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# Start from a specific line (e.g. skip a header, or resume mid-file)
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python extract_lines.py input.txt output.txt --lines 500 --start 1000
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"""
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import argparse
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from itertools import islice
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def extract_lines(input_path: str, output_path: str, start: int, count: int) -> int:
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written = 0
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with open(input_path, "r", encoding="utf-8", errors="replace", buffering=1024 * 1024) as fin, \
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open(output_path, "w", encoding="utf-8") as fout:
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for line in islice(fin, start, start + count):
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fout.write(line)
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written += 1
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return written
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def main():
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parser = argparse.ArgumentParser(description="Extract a slice of lines from a huge file, streaming (low RAM).")
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parser.add_argument("input", help="Path to the big input file")
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parser.add_argument("output", help="Path to write the extracted lines to")
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parser.add_argument("--lines", type=int, default=500, help="Number of lines to extract (default: 500)")
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parser.add_argument("--start", type=int, default=0, help="Line number to start at, 0-indexed (default: 0)")
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args = parser.parse_args()
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n = extract_lines(args.input, args.output, args.start, args.lines)
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print(f"Wrote {n} lines (lines {args.start}-{args.start + n - 1}) to {args.output}")
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if __name__ == "__main__":
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main()
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