Admin MPCZ
a366427daf
Python csv.DictReader ne garde que le dernier quand 2 colonnes ont le meme nom: le Nouveau (condition) ecrasait le Production (lifecycle). Switch vers csv.reader + lecture par indice de colonne (1ere occurrence de Etat = lifecycle).
40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
"""Liste les valeurs distinctes des colonnes Etat et Status dans les CSV iTop.
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Usage:
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python tools/list_csv_etats.py <csv1> [<csv2> ...]
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"""
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import csv
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import sys
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from collections import Counter
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def main():
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if len(sys.argv) < 2:
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print("Usage: python tools/list_csv_etats.py <csv1> [<csv2> ...]")
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sys.exit(1)
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for path in sys.argv[1:]:
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print(f"\n=== {path} ===")
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with open(path, "r", encoding="utf-8-sig", newline="") as f:
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sample = f.read(4096); f.seek(0)
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delim = ";" if sample.count(";") > sample.count(",") else ","
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reader = csv.reader(f, delimiter=delim)
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header = next(reader)
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rows = list(reader)
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print(f"{len(rows)} lignes (delim={delim!r})")
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# iTop peut avoir 2 colonnes "Etat" (lifecycle + condition) - les compter separement
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cols_to_check = ["Etat", "État", "Status", "Environnement"]
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for col in cols_to_check:
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indices = [i for i, h in enumerate(header) if h == col]
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for rank, idx in enumerate(indices, 1):
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suffix = f" (#{rank})" if len(indices) > 1 else ""
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c = Counter((row[idx].strip() if idx < len(row) else "") for row in rows)
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print(f"\n[{col}{suffix} col index={idx}]")
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for v, n in c.most_common():
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print(f" {v!r:30s} {n}")
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if __name__ == "__main__":
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main()
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