def apply_schema(df, blobNamePath : str):
    try:
        global schemas_list

        found = False
        schema = pd.DataFrame()
        i=0
        idx = -1
        for schema_item in schemas_list:
            if schema_item["path_item"] in blobNamePath:
                found = True
                schema_path = blobNamePath.split(schema_item["path_item"])[0]
                schema_path = schema_path + 'schemas/' + schema_item["path_item"] + schema_item["file_name"] 
                if "schema" in schema_item.keys():
                    schema = schema_item["schema"]
                else:
                    idx=i
            i=i+1
        
        if found == True:
            if schema.empty == True:
                schema = getBlob(schema_path,"schema_filename.csv")
                schemas_list[idx]["schema"] = schema
            
            if schema.empty == False:
                schema_cols = schema.columns
                
                for col in schema_cols:
                    if col not in df.columns:
                        df[col]=''
                df = df[schema_cols]

        return df
    except Exception as e:
        print('****** error applying schema' + e.message)
        raise e