interface almost done

master
Aurelien PINTRAND 1 year ago
parent 50ccafde6a
commit a38a523f90

@ -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.")

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