Ali Rizvi-Santiago 6170e24ecb Refactored the code a bit to move the CopyFile hack out of DownloadClient and instead into each protocol.
config.go:
Removed all of the windows-specific net/url hackery since it's now handled mostly by download.go
Removed the replacement of '\' with '/' since url.Parse does it now.
Added knowledge of the other protocols implemented in download.go (ftp, smb)
Removed some modules that were unused in this commit.

download.go:
Moved the file-path conversions for the different protocols into their own internally callable functions.
Shuffled some of the functions around in case someone wants to implement the ability to resume.
Modified DownloadClient.Get to remove the CopyFile special case and trust the protocol implementations if a user doesn't want to copy the file.
Since all the protocols except for HTTPDownloader implement Cancel, added a Resume method as a placeholder for another developer to implement.
Added a few missing names from their function definitions.
Fixed the syntax in a few lines due to my suckage at go.
Adjusted the types for progress and total so that they support 64-bit sizes.
Removed the usage of the bufio library since it wasn't really being used.
2018-01-16 13:37:30 -06:00
2017-06-28 07:39:26 +02:00
2017-10-10 15:04:15 +01:00
2017-08-03 23:11:52 +02:00
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2017-11-21 22:04:33 +01:00
2017-12-08 15:45:12 -08:00
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2018-01-12 15:11:50 -08:00
2017-04-04 13:39:01 -07:00
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2018-01-08 12:27:10 -08:00
2016-10-07 21:10:20 +02:00
2017-04-04 13:39:01 -07:00
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Packer

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Packer is a tool for building identical machine images for multiple platforms from a single source configuration.

Packer is lightweight, runs on every major operating system, and is highly performant, creating machine images for multiple platforms in parallel. Packer comes out of the box with support for the following platforms:

  • Amazon EC2 (AMI). Both EBS-backed and instance-store AMIs
  • Azure
  • CloudStack
  • DigitalOcean
  • Docker
  • Google Compute Engine
  • Hyper-V
  • 1&1
  • OpenStack
  • Oracle Cloud Infrastructure
  • Parallels
  • ProfitBricks
  • QEMU. Both KVM and Xen images.
  • Triton (Joyent Public Cloud)
  • VMware
  • VirtualBox

Support for other platforms can be added via plugins.

The images that Packer creates can easily be turned into Vagrant boxes.

Quick Start

Download and install packages and dependencies

go get github.com/hashicorp/packer

Note: There is a great introduction and getting started guide for those with a bit more patience. Otherwise, the quick start below will get you up and running quickly, at the sacrifice of not explaining some key points.

First, download a pre-built Packer binary for your operating system or compile Packer yourself.

After Packer is installed, create your first template, which tells Packer what platforms to build images for and how you want to build them. In our case, we'll create a simple AMI that has Redis pre-installed. Save this file as quick-start.json. Export your AWS credentials as the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables.

{
  "variables": {
    "access_key": "{{env `AWS_ACCESS_KEY_ID`}}",
    "secret_key": "{{env `AWS_SECRET_ACCESS_KEY`}}"
  },
  "builders": [{
    "type": "amazon-ebs",
    "access_key": "{{user `access_key`}}",
    "secret_key": "{{user `secret_key`}}",
    "region": "us-east-1",
    "source_ami": "ami-af22d9b9",
    "instance_type": "t2.micro",
    "ssh_username": "ubuntu",
    "ami_name": "packer-example {{timestamp}}"
  }]
}

Next, tell Packer to build the image:

$ packer build quick-start.json
...

Packer will build an AMI according to the "quick-start" template. The AMI will be available in your AWS account. To delete the AMI, you must manually delete it using the AWS console. Packer builds your images, it does not manage their lifecycle. Where they go, how they're run, etc. is up to you.

Documentation

Comprehensive documentation is viewable on the Packer website:

https://www.packer.io/docs

Developing Packer

See CONTRIBUTING.md for best practices and instructions on setting up your development environment to work on Packer.

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