我想知道boto3中是否存在一个键。我可以循环桶内容并检查键是否匹配。
但这似乎太长了,也太过分了。Boto3官方文档明确说明了如何做到这一点。
也许我忽略了最明显的一点。有人能告诉我怎么做吗?
我想知道boto3中是否存在一个键。我可以循环桶内容并检查键是否匹配。
但这似乎太长了,也太过分了。Boto3官方文档明确说明了如何做到这一点。
也许我忽略了最明显的一点。有人能告诉我怎么做吗?
当前回答
我注意到,为了使用botocore.exceptions. clienterror捕获异常,我们需要安装botocore。botocore占用36M的磁盘空间。如果我们使用aws lambda函数,这尤其会产生影响。如果我们只是使用异常,那么我们可以跳过使用额外的库!
我正在验证文件扩展名为'.csv' 如果桶不存在,这将不会抛出异常! 如果桶存在但对象不存在,则不会抛出异常! 如果桶为空,则抛出异常! 如果桶没有权限,就会抛出异常!
代码看起来像这样。请分享你的想法:
import boto3
import traceback
def download4mS3(s3bucket, s3Path, localPath):
s3 = boto3.resource('s3')
print('Looking for the csv data file ending with .csv in bucket: ' + s3bucket + ' path: ' + s3Path)
if s3Path.endswith('.csv') and s3Path != '':
try:
s3.Bucket(s3bucket).download_file(s3Path, localPath)
except Exception as e:
print(e)
print(traceback.format_exc())
if e.response['Error']['Code'] == "404":
print("Downloading the file from: [", s3Path, "] failed")
exit(12)
else:
raise
print("Downloading the file from: [", s3Path, "] succeeded")
else:
print("csv file not found in in : [", s3Path, "]")
exit(12)
其他回答
我注意到,为了使用botocore.exceptions. clienterror捕获异常,我们需要安装botocore。botocore占用36M的磁盘空间。如果我们使用aws lambda函数,这尤其会产生影响。如果我们只是使用异常,那么我们可以跳过使用额外的库!
我正在验证文件扩展名为'.csv' 如果桶不存在,这将不会抛出异常! 如果桶存在但对象不存在,则不会抛出异常! 如果桶为空,则抛出异常! 如果桶没有权限,就会抛出异常!
代码看起来像这样。请分享你的想法:
import boto3
import traceback
def download4mS3(s3bucket, s3Path, localPath):
s3 = boto3.resource('s3')
print('Looking for the csv data file ending with .csv in bucket: ' + s3bucket + ' path: ' + s3Path)
if s3Path.endswith('.csv') and s3Path != '':
try:
s3.Bucket(s3bucket).download_file(s3Path, localPath)
except Exception as e:
print(e)
print(traceback.format_exc())
if e.response['Error']['Code'] == "404":
print("Downloading the file from: [", s3Path, "] failed")
exit(12)
else:
raise
print("Downloading the file from: [", s3Path, "] succeeded")
else:
print("csv file not found in in : [", s3Path, "]")
exit(12)
get()方法非常简单
import botocore
from boto3.session import Session
session = Session(aws_access_key_id='AWS_ACCESS_KEY',
aws_secret_access_key='AWS_SECRET_ACCESS_KEY')
s3 = session.resource('s3')
bucket_s3 = s3.Bucket('bucket_name')
def not_exist(file_key):
try:
file_details = bucket_s3.Object(file_key).get()
# print(file_details) # This line prints the file details
return False
except botocore.exceptions.ClientError as e:
if e.response['Error']['Code'] == "NoSuchKey": # or you can check with e.reponse['HTTPStatusCode'] == '404'
return True
return False # For any other error it's hard to determine whether it exists or not. so based on the requirement feel free to change it to True/ False / raise Exception
print(not_exist('hello_world.txt'))
这里有一个对我有用的解决办法。需要注意的是,我事先知道密钥的确切格式,所以我只列出单个文件
import boto3
# The s3 base class to interact with S3
class S3(object):
def __init__(self):
self.s3_client = boto3.client('s3')
def check_if_object_exists(self, s3_bucket, s3_key):
response = self.s3_client.list_objects(
Bucket = s3_bucket,
Prefix = s3_key
)
if 'ETag' in str(response):
return True
else:
return False
if __name__ == '__main__':
s3 = S3()
if s3.check_if_object_exists(bucket, key):
print "Found S3 object."
else:
print "No object found."
这可以同时检查前缀和键,最多取1个键。
def prefix_exits(bucket, prefix):
s3_client = boto3.client('s3')
res = s3_client.list_objects_v2(Bucket=bucket, Prefix=prefix, MaxKeys=1)
return 'Contents' in res
您可以使用awswrangler在一行中完成它。
awswrangler.s3.does_object_exist(path_of_object_to_check)
https://aws-data-wrangler.readthedocs.io/en/stable/stubs/awswrangler.s3.does_object_exist.html
does_object_exist方法使用s3客户机的head_object方法并检查是否引发了ClientError。如果错误代码是404,则返回False。