保護物件安全

Python 中的 AWS Boto 入門

Maksim Pecherskiy

Data engineer

為何在意權限？

df = pd.read_csv('https://gid-staging.potholes.csv')

權限總覽

為何在意權限？

已允許權限！

# Generate the boto3 client for interacting with S3
s3 = boto3.client('s3', region_name='us-east-1', 
                         aws_access_key_id=AWS_KEY_ID, 
                         aws_secret_access_key=AWS_SECRET)

# Use client to download a file
s3.download_file(
  Filename='potholes.csv',
  Bucket='gid-requests', 
  Key='potholes.csv')

AWS 權限系統

IAM

Bucket Policy

ACL

Presigned URL

AWS 權限系統

IAM

Bucket Policy

ACL

Presigned URL

ACL

上傳檔案

s3.upload_file(
  Filename='potholes.csv', Bucket='gid-requests', Key='potholes.csv')

將 ACL 設為 'public-read'

s3.put_object_acl(
  Bucket='gid-requests', Key='potholes.csv', ACL='public-read')

上傳時設定 ACL

以上傳同時設定 'public-read' ACL

s3.upload_file(
  Bucket='gid-requests', 
  Filename='potholes.csv', 
  Key='potholes.csv', 
  ExtraArgs={'ACL':'public-read'})

存取公開物件

S3 物件 URL 範本

https://{bucket}.{key}

Key='2019/potholes.csv' 的 URL

https://gid-requests.2019/potholes.csv

產生公開物件 URL

產生物件 URL 字串

url = "https://{}.{}".format(
  "gid-requests", 
  "2019/potholes.csv")

'https://gid-requests.2019/potholes.csv'

# Read the URL into Pandas
df = pd.read_csv(url)

如何決定可存取性

存取決策階層

如何決定可存取性

存取決策階層

複習

IAM

Bucket Policy

ACL

預先簽署 URL

複習

將 ACL 設為 'public-read'

s3.put_object_acl(
  Bucket='gid-requests', Key='potholes.csv', ACL='public-read')

將 ACL 設為 'private'

s3.put_object_acl(
  Bucket='gid-requests', Key='potholes.csv', ACL='private')

複習

以上傳同時設定 'public-read' ACL

s3.upload_file(
  Bucket='gid-requests', 
  Filename='potholes.csv', 
  Key='potholes2.csv', 
  ExtraArgs={'ACL':'public-read'})

複習

產生物件 URL 字串

url = "https://{}.{}".format(
  "gid-requests", 
  "2019/potholes.csv")

'https://gid-requests.2019/potholes.csv'

# Read the URL into Pandas
df = pd.read_csv(url)

一起來練習吧！

Python 中的 AWS Boto 入門