Fix: iTop exporte 2 colonnes Etat (lifecycle+condition), prendre la 1ere

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).

tools/import_etat_itop.py

@@ -110,15 +110,29 @@ def main():
             with open(csv_path, "r", encoding="utf-8-sig", newline="") as f:
                 sample = f.read(4096); f.seek(0)
                 delim = ";" if sample.count(";") > sample.count(",") else ","
-                rows = list(csv.DictReader(f, delimiter=delim))
+                reader = csv.reader(f, delimiter=delim)
-            print(f"[INFO] {len(rows)} lignes (delim={delim!r})")
+                header = next(reader)
-            for r in rows:
+                # iTop exporte parfois 2 colonnes "Etat" (lifecycle + condition physique).
-                hostname = (r.get("Nom") or r.get("Hostname") or "").strip()
+                # On prend la PREMIERE occurrence = lifecycle.
+                idx_etat = next((i for i, h in enumerate(header) if h in ("Etat", "État")), -1)
+                idx_nom = next((i for i, h in enumerate(header) if h == "Nom"), -1)
+                idx_hostname = next((i for i, h in enumerate(header) if h == "Hostname"), -1)
+                rows = list(reader)
+            print(f"[INFO] {len(rows)} lignes (delim={delim!r}, idx_etat={idx_etat})")
+            if idx_etat == -1:
+                print("[WARN] Colonne Etat absente, skip.")
+                continue
+            for row in rows:
+                if idx_nom >= 0 and idx_nom < len(row):
+                    hostname = row[idx_nom].strip()
+                elif idx_hostname >= 0 and idx_hostname < len(row):
+                    hostname = row[idx_hostname].strip()
+                else:
+                    hostname = ""
                 if not hostname or not any(c.isalpha() for c in hostname):
                     continue
-                # Etat d'abord (lifecycle VM). Si valeur "condition" -> NULL.
+                # Lifecycle = 1ere colonne Etat (l'iTop export peut avoir 2 "Etat")
-                # Status ignore (toujours 'Production' cote iTop, pas pertinent).
+                raw = row[idx_etat].strip() if idx_etat < len(row) else ""
-                raw = (r.get("Etat") or r.get("État") or "").strip()
                 new_etat = norm_etat(raw)
                 # Cas: valeur condition iTop (Nouveau, Recycle, ...) -> NULL (physique non deploye)
                 is_condition = raw in ("Nouveau", "Recyclé", "A récupérer", "Cassé",

tools/list_csv_etats.py

@@ -18,15 +18,19 @@ def main():
         with open(path, "r", encoding="utf-8-sig", newline="") as f:
             sample = f.read(4096); f.seek(0)
             delim = ";" if sample.count(";") > sample.count(",") else ","
-            reader = csv.DictReader(f, delimiter=delim)
+            reader = csv.reader(f, delimiter=delim)
+            header = next(reader)
             rows = list(reader)
         print(f"{len(rows)} lignes (delim={delim!r})")
-        print(f"Colonnes: {list(rows[0].keys()) if rows else []}")
 
-        for col in ("Etat", "État", "Status", "Environnement"):
+        # iTop peut avoir 2 colonnes "Etat" (lifecycle + condition) - les compter separement
-            if rows and col in rows[0]:
+        cols_to_check = ["Etat", "État", "Status", "Environnement"]
-                c = Counter((r.get(col) or "").strip() for r in rows)
+        for col in cols_to_check:
-                print(f"\n[{col}]")
+            indices = [i for i, h in enumerate(header) if h == col]
+            for rank, idx in enumerate(indices, 1):
+                suffix = f" (#{rank})" if len(indices) > 1 else ""
+                c = Counter((row[idx].strip() if idx < len(row) else "") for row in rows)
+                print(f"\n[{col}{suffix} col index={idx}]")
                 for v, n in c.most_common():
                     print(f"  {v!r:30s} {n}")