使用boto3将csv文件保存到s3

Question

我正在尝试将 CSV 文件写入并保存到 s3 中的特定文件夹（存在）。这是我的代码：

from io import BytesIO
import pandas as pd
import boto3
s3 = boto3.resource('s3')

d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)

csv_buffer = BytesIO()

bucket = 'bucketName/folder/'
filename = "test3.csv"
df.to_csv(csv_buffer)
content = csv_buffer.getvalue()

def to_s3(bucket,filename,content):
  s3.Object(bucket,filename).put(Body=content)

to_s3(bucket,filename,content)

这是我得到的错误：

Invalid bucket name "bucketName/folder/": Bucket name must match the regex "^[a-zA-Z0-9.\-_]{1,255}$"

我也试过：

bucket = bucketName/folder

和：

bucket = bucketName
key = folder/
s3.Object(bucket,key,filename).put(Body=content)

有什么建议？

Answer 1

也可以使用upload_file现有的 .csv 文件保存到 s3 存储桶中：

import boto3
s3 = boto3.resource('s3')

bucket = 'bucket_name'
filename = 'file_name.csv'
s3.meta.client.upload_file(Filename = filename, Bucket= bucket, Key = filename)

Answer 2

这应该有效

def to_s3(bucket,filename, content):
    client = boto3.client('s3')
    k = "folder/subfolder"+filename
    client.put_object(Bucket=bucket, Key=k, Body=content)