s3 = boto3.client('s3') 使用upload_file()方法将文件上传到S3的特定文件夹中。在该方法中,指定本地文件路径、S3存储桶名称和目标文件夹路径: 代码语言:txt 复制 local_file_path = '/path/to/local/file.txt' bucket_name = 'your-bucket-name' folder_path = 'your-folder-path/' s3.upload_...
那么我们就是使用session来管理这个会话 importboto3defupload_file_to_s3(file_path, bucket_name, folder_name, object_name, access_key, secret_key): session = boto3.Session(aws_access_key_id=access_key, aws_secret_access_key=secret_key) s3 = session.client('s3')# 上传文件到S3存储桶s3.upl...
import boto3 s3_client = boto3.client('s3', aws_access_key_id='YOUR_ACCESS_KEY', aws_secret_access_key='YOUR_SECRET_KEY') 上传文件:使用S3客户端的upload_file方法,指定本地文件路径和目标S3存储桶以及对象键(文件名),将文件上传到S3。 代码语言:txt 复制 s3_client.upload_file('local_file...
2、实现单个图片的上传 defupload_logo_photo(logo_photo_s3=init_s3_logo_photo(),bucket_name=BUCKET_NAME,photo_name=None):withopen(os.path.join(PHOTO_FOLDER,photo_name),'rb')asf:photo_stream=f.read()try:# upload logo to s3logo_photo_s3.Bucket(bucket_name).put_object(Key=photo_name,Bod...
s3.Bucket('bucketname').upload_file('/local/file/here.txt','folder/sub/path/to/s3key') Run Code Online (Sandbox Code Playgroud) http://boto3.readthedocs.io/en/latest/reference/services/s3.html#S3.Bucket.upload_file 这样很好,但是不允许存储当前内存中的数据。(4认同) ...
defupload_logo_photo(logo_photo_s3=init_s3_logo_photo(),bucket_name=BUCKET_NAME,photo_name=None):withopen(os.path.join(PHOTO_FOLDER,photo_name),'rb')asf:photo_stream=f.read()try:# upload logo to s3logo_photo_s3.Bucket(bucket_name).put_object(Key=photo_name,Body=photo_stream)print(...
您正在尝试连接AccountName + 'folder_' + datetime.now().strftime("%Y-%m-%d_%H-%M-%S") + "...
I've been trying to upload files from a local folder into folders on S3 using Boto3, and it's failing kinda silently, with no indication of why the upload isn't happening. key_name = folder + '/' s3_connect = boto3.client('s3', s3_bucket_region,) # upload File to S3 for ...
aws configure # 输入access key和security key:后两项可以忽略(假如只需要使用S3的话) 连接S3存储桶 # view folder aws [option] --endpoint-url [endpoint_url] s3 [action] s3://[bucket] # download single file aws [option] --endpoint-url [endpoint_url] s3 cp s3://[bucket]/[file_path] [...
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_buff...