From a38a523f90ba6922fcb5f1cdf4200f27509eae93 Mon Sep 17 00:00:00 2001
From: aurelien <aurelien.pintrand@etu.uca.fr>
Date: Mon, 12 Feb 2024 21:41:28 +0100
Subject: [PATCH] interface almost done

---
 interface.py | 79 +++++++++++++++++++++++++++++-----------------------
 1 file changed, 44 insertions(+), 35 deletions(-)

diff --git a/interface.py b/interface.py
index af0eeb4..758c35d 100644
--- a/interface.py
+++ b/interface.py
@@ -23,27 +23,22 @@ def levenshtein_distance(s1, s2):
 
     return previous_row[-1]
 
-def find_closest_actor_name(input_name, actor_names, actor_ids):
+def find_closest_actor_name(input_name, actor_names):
     closest_name = None
-    closest_id = None
     min_distance = float('inf')
     for i in range(len(actor_names)):
         actor_name = actor_names[i]
-        actor_id = actor_ids[i]
         distance = levenshtein_distance(input_name, actor_name)
         if distance < min_distance:
             min_distance = distance
             closest_name = actor_name
-            closest_id = actor_id
-    return (closest_name,closest_id)
+    return (closest_name)
 
 def getUniqueActorNames(filePath):
     # Lire le fichier TSV
     df = pd.read_csv(filePath, sep='\t')
     actor_names = df['primaryName'].tolist()
-    actor_ids = df['nconst'].tolist()  # Supposer que la colonne s'appelle 'ActorName'
-  # Supposer que la colonne s'appelle 'ActorName'
-    return (actor_names,actor_ids)
+    return (actor_names)
 
 def saveUniqueActorsSorted(inputFilePath, outputFilePath):
     # Lire le fichier TSV
@@ -64,42 +59,56 @@ def saveUniqueActorsSorted(inputFilePath, outputFilePath):
             writer.writerow([row['primaryName'], row['nconst']])
 
 
+def ask_user_verification(actor_name):
+    response = input(f"Est-ce que vous vouliez dire {actor_name}? (Oui/Non) ")
+    return response.lower() in ['oui', 'o', 'yes', 'y']
+
+def add_actor(actor_names):
+    user_input = input("Entrez le nom de l'acteur à ajouter : ")
+    closest_name = find_closest_actor_name(user_input, actor_names)
+    if ask_user_verification(closest_name):
+        return closest_name
+    else:
+        user_choice = input("Voulez-vous réessayer avec un autre nom? (Oui/Non) ")
+        if user_choice.lower() in ['oui', 'o', 'yes', 'y']:
+            return add_actor(actor_names)
+        else:
+            return None
+
 if __name__ == "__main__":
     mustContinue = True
     if not os.path.exists("processedData/uniqueActorNames.tsv"):
         saveUniqueActorsSorted("processedData/actorsRatingsGroupedWithName.tsv", "processedData/uniqueActorNames.tsv")
-    tupleActors = getUniqueActorNames("processedData/uniqueActorNames.tsv")
+    actor_names = getUniqueActorNames("processedData/uniqueActorNames.tsv")
     selectedActorNames = []
 
-
     print("Bienvenue dans MoviePrecog!")
-    while(mustContinue):
+    while mustContinue:
         print("1: Ajouter un acteur à la liste (4 acteurs / actrices requis)")
         print("2: Afficher la liste")
         print("3: Vider la liste")
         print("4: Lancer la prévision")
         print("5: Quitter")
-        userChoice = input("Votre choix: ")
-        if(userChoice == "1"):
-            actorName = input("Quel acteur voulez-vous chercher ? ")
-            actorFound = find_closest_actor_name(actorName, tupleActors[0], tupleActors[1])
-            print("L'acteur/actrice trouvé est: " + actorFound)
-            sublevelMustContinue = True
-            leave = False
-            correctActorChoice = input("Est-ce le bon acteur/actrice ? (o = oui, n = non)")
-            if(correctActorChoice == "n"):
-                while(sublevelMustContinue):
-                    leave = input("Sortir ou relancer ? (sortir = s, relancer = r)")
-                    if(leave == "r"):
-                        actorName = input("Quel acteur voulez-vous chercher ? ")
-                        actorFound = find_closest_actor_name(actorName, tupleActors[0], tupleActors[1])
-                        print("L'acteur/actrice trouvé est: " + actorFound)
-                        sublevelMustContinue = True
-                        correctActorChoice = input("Est-ce le bon acteur/actrice ? (o = oui, n = non)")
-                        if(correctActorChoice == o):
-                            sublevelMustContinue = False
-                    else if(leave != "r" or (leave != "s" and leave ))
-
-
-            
-print(find_closest_actor_name("Robert downey jr",tupleActors[0],tupleActors[1]))
+        
+        choice = input("Faites votre choix : ")
+        
+        if choice == '1':
+            result = add_actor(actor_names)
+            if result:
+                selectedActorNames.append(result[0])
+                print(f"{result[0]} a été ajouté à la liste.")
+        elif choice == '2':
+            print("Liste des acteurs sélectionnés :")
+            for actor in selectedActorNames:
+                print(actor)
+        elif choice == '3':
+            selectedActorNames.clear()
+            print("La liste a été vidée.")
+        elif choice == '4':
+            # TODO: Implémenter la comparaison
+            print("Lancement de la prévision... (TODO)")
+        elif choice == '5':
+            print("Au revoir !")
+            mustContinue = False
+        else:
+            print("Choix non valide, veuillez réessayer.")