* Importing the OpsGenie SDK
* Adding the goreq dependency
* Initial commit of the OpsGenie / User provider
* Refactoring to return a single client
* Adding an import test / fixing a copy/paste error
* Adding support for OpsGenie docs
* Scaffolding the user documentation for OpsGenie
* Adding a TODO
* Adding the User data source
* Documentation for OpsGenie
* Adding OpsGenie to the internal plugin list
* Adding support for Teams
* Documentation for OpsGenie Team's
* Validation for Teams
* Removing Description for now
* Optional fields for a User: Locale/Timezone
* Removing an implemented TODO
* Running makefmt
* Downloading about half the internet
Someone witty might simply sign this commit with "npm install"
* Adding validation to the user object
* Fixing the docs
* Adding a test creating multple users
* Prompting for the API Key if it's not specified
* Added a test for multiple users / requested changes
* Fixing the linting
* "external" provider for gluing in external logic
This provider will become a bit of glue to help people interface external
programs with Terraform without writing a full Terraform provider.
It will be nowhere near as capable as a first-class provider, but is
intended as a light-touch way to integrate some pre-existing or custom
system into Terraform.
* Unit test for the "resourceProvider" utility function
This small function determines the dependable name of a provider for
a given resource name and optional provider alias. It's simple but it's
a key part of how resource nodes get connected to provider nodes so
worth specifying the intended behavior in the form of a test.
* Allow a provider to export a resource with the provider's name
If a provider only implements one resource of each type (managed vs. data)
then it can be reasonable for the resource names to exactly match the
provider name, if the provider name is descriptive enough for the
purpose of the each resource to be obvious.
* provider/external: data source
A data source that executes a child process, expecting it to support a
particular gateway protocol, and exports its result. This can be used as
a straightforward way to retrieve data from sources that Terraform
doesn't natively support..
* website: documentation for the "external" provider
Sidebar:
- Rename "Azure (Resource Manager)" to "Microsoft Azure" and sort
accordingly
- Rename "Azure (Service Management)" to "Microsoft Azure (Legacy ASM)"
and sort accordingly
ARM provider docs:
- Name changes everywhere to Microsoft Azure Provider
- Mention and link to "legacy Azure Service Management Provider" in opening paragraph
- Sidebar gains link at bottom to Azure Service Management Provider
ASM provider docs:
- Name changes everywhere to Azure Service Management Provider
- Sidebar gains link at bottom to Microsoft Azure Provider
- Every page gets a header with the following
- "NOTE: The Azure Service Management provider is no longer being actively developed by HashiCorp employees. It continues to be supported by the community. We recommend using the Azure Resource Manager based [Microsoft Azure Provider] instead if possible."
* Add scaleway provider
this PR allows the entire scaleway stack to be managed with terraform
example usage looks like this:
```
provider "scaleway" {
api_key = "snap"
organization = "snip"
}
resource "scaleway_ip" "base" {
server = "${scaleway_server.base.id}"
}
resource "scaleway_server" "base" {
name = "test"
# ubuntu 14.04
image = "aecaed73-51a5-4439-a127-6d8229847145"
type = "C2S"
}
resource "scaleway_volume" "test" {
name = "test"
size_in_gb = 20
type = "l_ssd"
}
resource "scaleway_volume_attachment" "test" {
server = "${scaleway_server.base.id}"
volume = "${scaleway_volume.test.id}"
}
resource "scaleway_security_group" "base" {
name = "public"
description = "public gateway"
}
resource "scaleway_security_group_rule" "http-ingress" {
security_group = "${scaleway_security_group.base.id}"
action = "accept"
direction = "inbound"
ip_range = "0.0.0.0/0"
protocol = "TCP"
port = 80
}
resource "scaleway_security_group_rule" "http-egress" {
security_group = "${scaleway_security_group.base.id}"
action = "accept"
direction = "outbound"
ip_range = "0.0.0.0/0"
protocol = "TCP"
port = 80
}
```
Note that volume attachments require the server to be stopped, which can lead to
downtimes of you attach new volumes to already used servers
* Update IP read to handle 404 gracefully
* Read back resource on update
* Ensure IP detachment works as expected
Sadly this is not part of the official scaleway api just yet
* Adjust detachIP helper
based on feedback from @QuentinPerez in
https://github.com/scaleway/scaleway-cli/pull/378
* Cleanup documentation
* Rename api_key to access_key
following @stack72 suggestion and rename the provider api_key for more clarity
* Make tests less chatty by using custom logger
* Grafana provider
* grafana_data_source resource.
Allows data sources to be created in Grafana. Supports all data source
types that are accepted in the current version of Grafana, and will
support any future ones that fit into the existing structure.
* Vendoring of apparentlymart/go-grafana-api
This is in anticipation of adding a Grafana provider plugin.
* grafana_dashboard resource
* Website documentation for the Grafana provider.
This introduces the terraform state list command to list the resources
within a state. This is the first of many state management commands to
come into 0.7.
This is the first command of many to come that is considered a
"plumbing" command within Terraform (see "plumbing vs porcelain":
http://git.661346.n2.nabble.com/what-are-plumbing-and-porcelain-td2190639.html).
As such, this PR also introduces a bunch of groundwork to support
plumbing commands.
The main changes:
- Main command output is changed to split "common" and "uncommon"
commands.
- mitchellh/cli is updated to support nested subcommands, since
terraform state list is a nested subcommand.
- terraform.StateFilter is introduced as a way in core to filter/search
the state files. This is very basic currently but I expect to make it
more advanced as time goes on.
- terraform state list command is introduced to list resources in a
state. This can take a series of arguments to filter this down.
Known issues, or things that aren't done in this PR on purpose:
- Unit tests for terraform state list are on the way. Unit tests for the
core changes are all there.
Here is an example that will setup the following:
+ An SSH key resource.
+ A virtual server resource that uses an existing SSH key.
+ A virtual server resource using an existing SSH key and a Terraform managed SSH key (created as "test_key_1" in the example below).
(create this as sl.tf and run terraform commands from this directory):
```hcl
provider "softlayer" {
username = ""
api_key = ""
}
resource "softlayer_ssh_key" "test_key_1" {
name = "test_key_1"
public_key = "${file(\"~/.ssh/id_rsa_test_key_1.pub\")}"
# Windows Example:
# public_key = "${file(\"C:\ssh\keys\path\id_rsa_test_key_1.pub\")}"
}
resource "softlayer_virtual_guest" "my_server_1" {
name = "my_server_1"
domain = "example.com"
ssh_keys = ["123456"]
image = "DEBIAN_7_64"
region = "ams01"
public_network_speed = 10
cpu = 1
ram = 1024
}
resource "softlayer_virtual_guest" "my_server_2" {
name = "my_server_2"
domain = "example.com"
ssh_keys = ["123456", "${softlayer_ssh_key.test_key_1.id}"]
image = "CENTOS_6_64"
region = "ams01"
public_network_speed = 10
cpu = 1
ram = 1024
}
```
You'll need to provide your SoftLayer username and API key,
so that Terraform can connect. If you don't want to put
credentials in your configuration file, you can leave them
out:
```
provider "softlayer" {}
```
...and instead set these environment variables:
- **SOFTLAYER_USERNAME**: Your SoftLayer username
- **SOFTLAYER_API_KEY**: Your API key
This introduces a provider for Cobbler. Cobbler manages bare-metal
deployments and, to some extent, virtual machines. This initial
commit supports the following resources: distros, profiles, systems,
kickstart files, and snippets.
GitHub really doesn't like when you make the H lowercase, it violates
their brand guidelines and they won't help promote anything that doesn't
use the capital H.
This brings across the following resources for Triton from the
joyent/triton-terraform repository, and converts them to the canonical
Terraform style, introducing Terraform-style documentation and
acceptance tests which run against the live API rather than the local
APIs:
- triton_firewall_rule
- triton_machine
- triton_key
This brings across the following resources for Triton from the
joyent/triton-terraform repository, and converts them to the canonical
Terraform style, introducing Terraform-style documentation and
acceptance tests which run against the live API rather than the local
APIs:
- triton_firewall_rule
- triton_machine
- triton_key
This uses the `fmtcmd` package which has recently been merged into HCL. Per
the usage text, this rewrites Terraform config files to their canonical
formatting and style.
Some notes about the implementation for this initial commit:
- all of the fmtcmd options are exposed as CLI flags
- it operates on all files that have a `.tf` suffix
- it currently only operates on the working directory and doesn't accept a
directory argument, but I'll extend this in subsequent commits
- output is proxied through `cli.UiWriter` so that we write in the same way
as other commands and we can capture the output during tests
- the test uses a very simple fixture just to ensure that it is working
correctly end-to-end; the fmtcmd package has more exhaustive tests
- we have to write the fixture to a file in a temporary directory because it
will be modified and for this reason it was easier to define the fixture
contents as a raw string
