fix: pickle read with wrong func

app.py

@@ -28,7 +28,7 @@ import utilities as us
 #             def wrapper(*args, **kwargs):
 #                 return func(*args, **kwargs)
 #             return wrapper
-pnp_path = os.path.join(".", "evaluation_p_np_metrics.csv")
+pnp_path = "evaluation_p_np_metrics.csv"
 
 js_func = """
 function refresh() {
@@ -50,8 +50,7 @@ df_default = pd.DataFrame({
     'Age': [25, 30, 35],
     'City': ['New York', 'Los Angeles', 'Chicago']
 })
-models_path = os.path.join(".", "models.csv")
-#models_path = "./models.csv"
+models_path ="models.csv"
 
 # Variabile globale per tenere traccia dei dati correnti
 df_current = df_default.copy()
@@ -82,7 +81,7 @@ def load_data(file, path, use_default):
             input_data["input_method"] = 'uploaded_file'
             input_data["db_name"] = os.path.splitext(os.path.basename(file))[0]
             #input_data["data_path"] = os.path.join(".", "data", "data_interface",f"{input_data['db_name']}.sqlite")
-            input_data["data_path"] = os.path.join(".", f"{input_data['db_name']}.sqlite")
+            input_data["data_path"] = f"{input_data['db_name']}.sqlite"
             input_data["data"] = us.load_data(file, input_data["db_name"])
             df_current = input_data["data"]['data_frames'].get('MyTable', df_default)  # Carica il DataFrame
             if(input_data["data"]['data_frames'] and input_data["data"]["db"] is None): #for csv and xlsx files
@@ -130,7 +129,7 @@ def load_data(file, path, use_default):
             #input_data["data_path"] = os.path.join(".", "data", "spider_databases", "defeault.sqlite")
             #input_data["db_name"] = "default"
             #input_data["data"]['db'] =  SqliteConnector(relative_db_path=input_data["data_path"], db_name=input_data["db_name"])
-            input_data["data"]['data_frames'] = us.extract_tables_dict(pnp_path)
+            input_data["data"]['data_frames'] = us.load_tables_dict_from_pkl('tables_dict.pkl')
             return input_data["data"]['data_frames']
     
     selected_inputs = sum([file is not None, bool(path), use_default])

utilities.py

@@ -108,28 +108,6 @@ def generate_some_samples(connector, tbl_name):
         samples.append(f"Error: {e}")
     return samples
 
-def load_tables_dict(file_path):
+def load_tables_dict_from_pkl(file_path):
     with open(file_path, 'rb') as f:
         return pickle.load(f)
-
-def extract_tables_dict(pnp_path):
-    tables_dict = {}
-    with open(pnp_path, mode='r', encoding='utf-8') as file:
-        reader = csv.DictReader(file)
-        tbl_db_pairs = set()  # Use a set to avoid duplicates
-        for row in reader:
-            tbl_name = row.get("tbl_name")
-            db_path = row.get("db_path")
-            if tbl_name and db_path:
-                tbl_db_pairs.add((tbl_name, db_path))  # Add the pair to the set
-    for tbl_name, db_path in list(tbl_db_pairs):
-            if tbl_name and db_path:
-                connector = sqlite3.connect(db_path)
-                query = f"SELECT * FROM {tbl_name} LIMIT 5"
-                try:
-                    df = pd.read_sql_query(query, connector)                    
-                    tables_dict[tbl_name] = df
-                except Exception as e:
-                    tables_dict[tbl_name] = pd.DataFrame({"Error": [str(e)]})  # DataFrame con messaggio di errore
-    return load_tables_dict('tables_dict.csv')
-    return tables_dict