今天需要通过 IM (微信等)给其他人发消息,但又不希望 IM 公司拿到数据。
如果是程序员的话,直接用下面的命令:
加密后发送:
curl https://github.com/{username}.keys| age -R - config.dev.yaml > config.dev.yaml.age
今天需要通过 IM (微信等)给其他人发消息,但又不希望 IM 公司拿到数据。
如果是程序员的话,直接用下面的命令:
加密后发送:
curl https://github.com/{username}.keys| age -R - config.dev.yaml > config.dev.yaml.age
delete all oss bucket from your aliyun account. (At Your Own Risk)
#!/bin/bash
for x in $(aliyun oss ls oss:// | grep -- 'oss-' | awk '{printf "%s|%s\n", $5, $7}'); do
endpoint=$(echo "$x" | cut -d'|' -f1)
bucket=$(echo "$x" | cut -d'|' -f2)
echo "delete $bucket ..."
aliyun oss rm "$bucket" -f -r --all-versions -b -e "$endpoint.aliyuncs.com"
试了几个工具,只有:https://github.com/qiye45/wechatVideoDownload 靠谱一些。
下载链接:https://github.com/qiye45/wechatVideoDownload/releases/download/2.2/wechatVideoDownload2.2.zip
下载后,解压缩,然后运行:微信视频号下载工具2.2.exe
如下图,勾选这两个按钮:
import com.cloudbees.plugins.credentials.*; | |
import com.cloudbees.plugins.credentials.domains.Domain; | |
import org.jenkinsci.plugins.plaincredentials.impl.FileCredentialsImpl; | |
// | |
// modify fileName to match the filename of the secret(s) you want to print. | |
// (ID would probably be more helpful... yay stack overflow copy pasta) | |
// alternatively comment out the filter [line 15] to dump all secret files. | |
// | |
def fileName = "secrets.env" |
botocore.errorfactory.ValidationException: An error occurred (ValidationException) when calling the Retrieve operation: The vector database encountered an error while processing the request: The request was throttled because of insufficient resources on the database. (Service: RdsData, Status Code: 400, Request ID: b762f4a8-177c-4ba4-abd7-bd36b8fc17f4)
action: Databases -> choose your RDS -> Connectivity & security -> RDS Data API , disable and then re-enable
import json import pathlib
import boto3
def download_s3_obj_versions(_bucket, _key_prefix, _filename, is_save=True): client = boto3.client("s3")
_key = (pathlib.Path(_key_prefix) / _filename).as_posix()
apiVersion: v1 | |
kind: ConfigMap | |
metadata: | |
name: imagecleanupconfig | |
namespace: default | |
labels: | |
component: imagecleanup | |
data: | |
# removes all images unused by a running container | |
cronjobs: 0 0 * * * crictl rmi --prune 2>&1 |
import boto3 | |
identity_pool_id = "us-east-1:xxxxx" | |
dataset_name = "dataset-name-xxx" | |
client_sync = boto3.client("cognito-sync") | |
client_identity = boto3.client("cognito-identity") | |
def get_dataset_detail(identity_id): |