* 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
* 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 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
- Add documentation for resources
- Rename files to match standard patterns
- Add acceptance tests for resource groups
- Add acceptance tests for vnets
- Remove ARM_CREDENTIALS file - as discussed this does not appear to be
an Azure standard, and there is scope for confusion with the
azureProfile.json file which the CLI generates. If a standard emerges
we can reconsider this.
- Validate credentials in the schema
- Remove storage testing artefacts
- Use ARM IDs as Terraform IDs
- Use autorest hooks for logging
As of this commit this provider has only logical resources that allow
the creation of private keys, self-signed certs and certificate requests.
These can be useful when creating other resources that use TLS
certificates, such as AWS Elastic Load Balancers.
Later it could grow to include support for real certificate provision from
CAs using the LetsEncrypt ACME protocol, once it is stable.
Tom Harvey