Anderson Carvalho anderson-marques

## aws-s3-get-object-command-to-string.ts
const input:GetObjectRequest = {
    Bucket: this.eventsBucket,
    Key: `${request.eventName}/${request.eventId}`
}
const command = new GetObjectCommand(input);
const output = await this.s3Client.send(command)

let outputBody: string = ''
for await (let chunk of output.Body as Readable) {
    outputBody += chunk

## jython_base64.py
import base64
encoded = base64.b64encode('data to be encoded')
print(encoded)
# prints 'ZGF0YSB0byBiZSBlbmNvZGVk'
data = base64.b64decode(encoded)
print(data)
# prints 'data to be encoded'

## gcp_create_access_token.js
const {google} = require('googleapis');

const main = async function() {

    const auth = new google.auth.GoogleAuth({
        keyFile: __dirname  + '/service-account-key.json',
        scopes: [ 'https://www.googleapis.com/auth/cloud-platform']
    });

    const accessToken = await auth.getAccessToken()

## http-benchmark.md

      
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                anderson-marques
                / http-benchmark.md
            
            
              Created
              March 30, 2021 17:30
                — forked from denji/http-benchmark.md
            
              
                HTTP(S) Benchmark Tools / Toolkit for testing/debugging HTTP(S) and restAPI (RESTful)
              
          
    Moved to git-repository: https://github.com/denji/awesome-http-benchmark

Tools

Located in alphabetical order (not prefer)

ab – slow and single threaded, written in C
apib – most of the features of ApacheBench (ab), also designed as a more modern replacement, written in C
autocannon – fast HTTP/1.1 benchmarking tool written in Node.js
baloo – Expressive end-to-end HTTP API testing made easy, written in Go (golang)


## parse_dotenv.bash
# Pass the env-vars to MYCOMMAND
eval $(egrep -v '^#' .env | xargs) MYCOMMAND
# … or ...
# Export the vars in .env into your shell:
export $(egrep -v '^#' .env | xargs)

## k8s_force_namespace_deletion.sh
NAMESPACE=apigee
kubectl proxy &
kubectl get namespace $NAMESPACE -o json |jq '.spec = {"finalizers":[]}' >temp.json
curl -k -H "Content-Type: application/json" -X PUT --data-binary @temp.json 127.0.0.1:8001/api/v1/namespaces/$NAMESPACE/finalize

## gcloud_service_account_print_access_token.py
# Python script to programmatically generate the access token from a service-account key
# It does what the following commands does:
#     - gcloud auth activate-service-account
#     - gcloud auth print-access-token

import google.auth
import google.auth.transport.requests

from google.oauth2 import service_account
from os.path import expanduser

## oauth2_device_flow.py
"""
OAuth2 Device Flow adaptation from Implicit Flow - Useful for CLIs
"""
from http.server import SimpleHTTPRequestHandler, HTTPServer
import os
from os.path import expanduser
import json

callback_html = """
<body style="font-family: 'Trebuchet MS', 'Lucida Sans Unicode', 'Lucida Grande', 'Lucida Sans', Arial, sans-serif">

## tag_untagged_ecr_images.sh
# This script tags a untagged ECR Images using its diggest
ECR_REPO=my-ecr-repo-name
IMAGE_DIGEST="sha256:ab6DSA4f1f940df430062009fdfb02d3ede74b48e39ada939047c2e7d0ee3ac50d8"
TAG=my-tag
# ---
MANIFEST=$(aws ecr batch-get-image --repository-name $ECR_REPO --image-ids imageDigest=$IMAGE_DIGEST --query 'images[].imageManifest' --output text)
aws ecr put-image --repository-name $ECR_REPO --image-tag $TAG --image-manifest "$MANIFEST"

## Makefile
build-dev:
	@docker build -f ./docker/dev/Dockerfile  -t dockerized-dotnet:dev .

tag=1.0.0
build-prod:
	@docker build -f ./docker/prod/Dockerfile -t dockerized-dotnet:${tag} .
	@docker tag dockerized-dotnet:${tag} dockerized-dotnet:latest

console: build-dev
	@docker run --rm -it dockerized-dotnet:dev sh
	const input:GetObjectRequest = {
	Bucket: this.eventsBucket,
	Key: `${request.eventName}/${request.eventId}`
	}
	const command = new GetObjectCommand(input);
	const output = await this.s3Client.send(command)

	let outputBody: string = ''
	for await (let chunk of output.Body as Readable) {
	outputBody += chunk
	import base64
	encoded = base64.b64encode('data to be encoded')
	print(encoded)
	# prints 'ZGF0YSB0byBiZSBlbmNvZGVk'
	data = base64.b64decode(encoded)
	print(data)
	# prints 'data to be encoded'
	const {google} = require('googleapis');

	const main = async function() {

	const auth = new google.auth.GoogleAuth({
	keyFile: __dirname + '/service-account-key.json',
	scopes: [ 'https://www.googleapis.com/auth/cloud-platform']
	});

	const accessToken = await auth.getAccessToken()
	# Pass the env-vars to MYCOMMAND
	eval $(egrep -v '^#' .env \| xargs) MYCOMMAND
	# … or ...
	# Export the vars in .env into your shell:
	export $(egrep -v '^#' .env \| xargs)
	NAMESPACE=apigee
	kubectl proxy &
	kubectl get namespace $NAMESPACE -o json \|jq '.spec = {"finalizers":[]}' >temp.json
	curl -k -H "Content-Type: application/json" -X PUT --data-binary @temp.json 127.0.0.1:8001/api/v1/namespaces/$NAMESPACE/finalize
	# Python script to programmatically generate the access token from a service-account key
	# It does what the following commands does:
	# - gcloud auth activate-service-account
	# - gcloud auth print-access-token

	import google.auth
	import google.auth.transport.requests

	from google.oauth2 import service_account
	from os.path import expanduser
	"""
	OAuth2 Device Flow adaptation from Implicit Flow - Useful for CLIs
	"""
	from http.server import SimpleHTTPRequestHandler, HTTPServer
	import os
	from os.path import expanduser
	import json

	callback_html = """
	<body style="font-family: 'Trebuchet MS', 'Lucida Sans Unicode', 'Lucida Grande', 'Lucida Sans', Arial, sans-serif">
	# This script tags a untagged ECR Images using its diggest
	ECR_REPO=my-ecr-repo-name
	IMAGE_DIGEST="sha256:ab6DSA4f1f940df430062009fdfb02d3ede74b48e39ada939047c2e7d0ee3ac50d8"
	TAG=my-tag
	# ---
	MANIFEST=$(aws ecr batch-get-image --repository-name $ECR_REPO --image-ids imageDigest=$IMAGE_DIGEST --query 'images[].imageManifest' --output text)
	aws ecr put-image --repository-name $ECR_REPO --image-tag $TAG --image-manifest "$MANIFEST"
	build-dev:
	@docker build -f ./docker/dev/Dockerfile -t dockerized-dotnet:dev .

	tag=1.0.0
	build-prod:
	@docker build -f ./docker/prod/Dockerfile -t dockerized-dotnet:${tag} .
	@docker tag dockerized-dotnet:${tag} dockerized-dotnet:latest

	console: build-dev
	@docker run --rm -it dockerized-dotnet:dev sh