spark: add text_stats.py - JSON utility to count lines, words, chars in files
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@@ -1,34 +1,38 @@
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#!/usr/bin/env python3
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"""
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text_stats.py - Quick utility to count lines, words, and characters in text files.
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Usage: python text_stats.py <file1> [file2] ...
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text_stats.py - Quick utility to count lines, words, and characters in a file.
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Usage: python3 text_stats.py <file_path>
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Output: JSON with {path, lines, words, chars}
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"""
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import sys
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import json
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from pathlib import Path
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def analyze_text(filepath):
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"""Return (lines, words, chars) for a text file."""
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try:
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with open(filepath, 'r', encoding='utf-8', errors='replace') as f:
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content = f.read()
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lines = content.count('\n') + (1 if content and not content.endswith('\n') else 0)
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lines = len(content.splitlines()) if content.strip() else 0
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words = len(content.split())
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chars = len(content)
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return lines, words, chars
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except Exception as e:
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return None, None, None
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def main():
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if len(sys.argv) < 2:
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print("Usage: python text_stats.py <file1> [file2] ...")
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def text_stats(path: str) -> dict:
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"""Return dict with lines, words, and chars count for given file."""
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p = Path(path)
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if not p.is_file():
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raise FileNotFoundError(f"No such file: {path}")
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content = p.read_text()
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lines = len(content.splitlines()) if content.strip() else 0
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words = len(content.split())
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chars = len(content)
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return {"path": str(p.resolve()), "lines": lines, "words": words, "chars": chars}
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if __name__ == "__main__":
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if len(sys.argv) != 2:
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print(json.dumps({"error": "Usage: text_stats.py <file_path>"}))
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sys.exit(1)
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for filepath in sys.argv[1:]:
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lines, words, chars = analyze_text(filepath)
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if lines is None:
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print(f"{filepath}: error reading file")
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continue
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print(f"{filepath}: {lines} lines, {words} words, {chars} chars")
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if __name__ == '__main__':
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main()
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try:
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result = text_stats(sys.argv[1])
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print(json.dumps(result, indent=2))
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except Exception as e:
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print(json.dumps({"error": str(e)}))
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sys.exit(1)
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