lantrix

Connecting to host 10.0.0.100, port 5201
[  5] local 10.0.0.11 port 55740 connected to 10.0.0.100 port 5201
[ ID] Interval           Transfer     Bitrate
[  5]   0.00-1.00   sec  3.63 MBytes  30.4 Mbits/sec
[  5]   1.00-2.00   sec  39.6 KBytes   323 Kbits/sec
[  5]   2.00-3.00   sec   933 KBytes  7.67 Mbits/sec
[  5]   3.00-4.00   sec  2.33 MBytes  19.6 Mbits/sec
[  5]   4.00-5.00   sec   256 KBytes  2.10 Mbits/sec
[  5]   5.00-6.00   sec  3.46 MBytes  29.0 Mbits/sec
[  5]   6.00-7.00   sec  1.19 MBytes  9.91 Mbits/sec

lantrix

#!/usr/bin/env bash
set -e

# Build Picard package - copied from github actions
# https://raw.githubusercontent.com/metabrainz/picard/4138db54301a0d5e0727c758f78b4306ae1e57bb/.github/workflows/package.yml

export DISCID_VERSION='0.6.2'
export FPCALC_VERSION='1.5.0'
export PYTHON_VERSION='3.7.6'
export PYTHON_MAJOR_VERSION='3.7'

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#!/bin/bash
outputFile='/tmp/_scanned_photo_index_raw.csv'
# Header
echo "Outputting to: ${outputFile}"
echo "Photo ID,Filename,Date,Create (Scan) Date,Type,Resolution DPI,ImageSize,Megapixels,GPSLatitude,GPSLongitude,GPSPosition,ImageWidth,ImageHeight,FileSize,Album,Box,Custodian,Location,Metadata updated,Notes" > ${outputFile}
# Data
for photo in `ls -art |grep tif |grep -v reverse`; do
  echo "Parsing $photo"
  human=$(exiftool -f -d "%Y/%m/%d" -p '$Filename;$DateTimeOriginal;$CreateDate;$FileType;$XResolution;$ImageSize;$Megapixels;$GPSLatitude;$GPSLongitude;$GPSPosition;$ImageWidth;$ImageHeight;$FileSize;$ImageDescription' $photo)
  numeric=$(exiftool -n -f -d "%Y/%m/%d" -p '$Filename;$DateTimeOriginal;$CreateDate;$FileType;$XResolution;$ImageSize;$Megapixels;$GPSLatitude;$GPSLongitude;$GPSPosition;$ImageWidth;$ImageHeight;$FileSize;$ImageDescription' $photo)

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Set-AWSCredential -ProfileName myprofile
Set-DefaultAWSRegion -Region ap-east-1

$images = Get-EC2Image -Owner self -Verbose

# Our parallel processing code is now inside a function that takes start end end array indexes as parameters
function ProcessFiles([int]$FromIndex, [int]$ToIndex) {
    $images[$FromIndex..$ToIndex] | Where-Object {$_.CreationDate -Like "2020-04*"} | ForEach-Object -ThrottleLimit 6 -Parallel {
        Write-Output -InputObject "Image $($_.ImageId) $($_.CreationDate) $($_.Name)"
        Unregister-EC2Image -ImageId $($_.ImageId) -Verbose

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# Buildtime
DOCKER_BUILDKIT=1 docker build \
 -f Dockerfile \
 -t myimage \
 --secret id=aws,src=$HOME/.aws/credentials \
 .

# Runtime
docker run -it \
 --rm \

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Dockerfile frontend experimental syntaxes

Note for Docker users

If you are using Docker v18.06 or later, BuildKit mode can be enabled by setting export DOCKER_BUILDKIT=1 on the client side. Docker v18.06 also requires the daemon to be running in experimental mode.

You need to use docker build CLI instead of buildctl CLI mentioned in this document. See the docker build document for the usage.

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# Name of our service
service: daily-instance-snapshot

# The required version of serverless we have to be using for this to work
frameworkVersion: ">=1.26.0 <2.0.0"

##############################
# Our service provider and runtime/region definitions
##############################
provider:

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env:
  VERSION: 0.1.${BUILDKITE_BUILD_NUMBER}

steps:

  - label: ":docker: Build Powershell Lambda Environment"
    command: 'echo Building PS Docker Image...'
    agents:
      queue: myQueue
    plugins:

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AWSTemplateFormatVersion: "2010-09-09"
Description: A Schedule to invoke a Lambda
Parameters:
  LambdaArn:
    Type: String
    Description: ARN of the lambda to be invoked
Resources:
  InvokeLambdaRole:
    Type: AWS::IAM::Role
    Properties:

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$lambda = 'test-ps-lambda'

Install-Module -Name AWS.Tools.Installer, AWSLambdaPSCore
Install-AWSToolsModule -Name Common, CloudWatchLogs, Lambda -Cleanup

New-AWSPowerShellLambda -Template Basic -ScriptName TestLambda -Directory testlambda

# Publish Lambda
$publishParams = @{
  ScriptPath = ".\TestLambda.ps1"