将jupter笔记本代码转换为适当的python函数

Question

嗨，我在Jupyter笔记本中创建了一些代码，从API中提取数据，然后将其写入Dynamodb。 它在Jupyter中运行良好，但在使用def将其转换为python函数时失败。 代码如下：

import boto3
import pyowm
import time
import json
import requests
from datetime import datetime, date, timedelta, timezone
import pandas as pd
from geopy.geocoders import Nominatim


client = boto3.client('ssm')
parameter = client.get_parameter(Name='OpenWeather_API_Key', WithDecryption=False)
ssmkey = parameter['Parameter']['Value']
api_key = print("\"%s\""% ssmkey )
owm = pyowm.OWM(api_key)
city = 'Berlin, DE'

geolocator = Nominatim(user_agent='aerieous@myserver.com')
location = geolocator.geocode(city)
lat = location.latitude
lon = location.longitude

x = (datetime.now() - timedelta(days=1))
d = x.isoformat(' ', 'seconds')

# convert time to epoch
p = '%Y-%m-%d %H:%M:%S'
dt = int(time.mktime(time.strptime(d, p)))

url = "https://api.openweathermap.org/data/2.5/onecall/timemachine?lat=%s&lon=%s&dt=%s&appid=%s&units=metric" % (
lat, lon, dt, api_key)
response = requests.get(url)
data_history = json.loads(response.text)

df_history2 = pd.json_normalize(data_history, record_path='hourly', meta=['lat', 'lon', 'timezone'],
                            errors='ignore')
df_history2['dt'] = pd.to_datetime(df_history2['dt'], unit='s').dt.strftime("%m/%d/%Y %H:%M:%S")
# replace the column header
df_history2 = df_history2.rename(columns={'dt': 'timestamp'})
df_history2['uuid'] = df_history2[['timestamp', 'timezone']].agg('-'.join, axis=1)
df_select_hist2 = df_history2[
['uuid', 'lat', 'lon', 'timezone', 'timestamp', 'temp', 'feels_like', 'humidity', 'pressure']]

# change column types to strings to be on safer side :)
df_select_hist2 = df_select_hist2.astype(str)

# Convert dataframe to list of dictionaries (JSON) that can be consumed by any no-sql database
content = df_select_hist2.to_dict('records')

# create a DynamoDB client
dynamodb = boto3.resource('dynamodb')

table = dynamodb.Table("Dev_Weather")

for item in content:
   unique_id = item['uuid']
   location = item['timezone']
   timestamp = item['timestamp']
   lat = item['lat']
   lon = item['lon']
   temp = item['temp']
   feels_like = item['feels_like']
   humidity = item['humidity']
   pressure = item['pressure']

   table.put_item(
      Item={
        'pk_id': unique_id,
        'sk': timestamp,
        'gsi_1_pk': lat,
        'gsi_1_sk': lon,
        'gsi_2_pk': temp,
        'gsi_2_sk': feels_like,
        'humidity': humidity,
        'pressure': pressure,
        'timezone': location
    }
    )

我知道必须有一个函数调用和一些print（），但我不知道把它们放在哪里。谢谢

A