decentraland api looping

gistfile1.py

df = pd.DataFrame()

#update parameter used in mystring to start querying the database at the earliest update date of sale. The update 
#date is specified in epoch date and needs to be converted to datetime for human consumption.
update = 1

while True:
    
    #query the data using GraphQL python library.
    query = gql(mystring.format(update))
    result = client.execute(query)
    
    #if there is no data returned it means you reached the end and should stop querying.
    if len(client.execute(query)['orders']) <= 1:
        break
   
    else:
        #Create a temporary dataframe to later append to the final dataframe that compiles all 1000-row dataframes.
        df1 = pd.DataFrame()
        df1 = pd.DataFrame(result['orders'])
        #unfold a subdict into a series of columns.
        df1 = df1.join(df1['nft'].apply(pd.Series)) 
    
        #append your temp dataframe to your master dataset.
        df = df.append(df1)
        
        #Pass into the API the max date from your dataset to fetch the next 1000 records.
        update = df['updatedAt'].max()

#reformat the update date in human-readable datetime format.
df['updatedAt_dt'] = df['updatedAt'].apply(lambda x: time.strftime('%Y-%m-%d', time.localtime(int(x))) )