First: if you're unsure or afraid of anything, ask for help! You can submit a work in progress (WIP) pull request, or file an issue with the parts you know. We'll do our best to guide you in the right direction, and let you know if there are guidelines we will need to follow. We want people to be able to participate without fear of doing the wrong thing.
Below are our expectations for contributors. Following these guidelines gives us the best opportunity to work with you, by making sure we have the things we need in order to make it happen. Doing your best to follow it will speed up our ability to merge PRs and respond to issues.
- Issues
- Pull Requests
We welcome issues of all kinds including feature requests, bug reports, and general questions. Below you'll find checklists with guidelines for well-formed issues of each type.
-
Test against latest release: Make sure you test against the latest released version. It is possible we already fixed the bug you're experiencing.
-
Search for possible duplicate reports: It's helpful to keep bug reports consolidated to one thread, so do a quick search on existing bug reports to check if anybody else has reported the same thing. You can scope searches by the label "bug" to help narrow things down.
-
Include steps to reproduce: Provide steps to reproduce the issue, along with your
.tf
files, with secrets removed, so we can try to reproduce it. Without this, it makes it much harder to fix the issue. -
For panics, include
crash.log
: If you experienced a panic, please create a gist of the entire generated crash log for us to look at. Double check no sensitive items were in the log.
-
Search for possible duplicate requests: It's helpful to keep requests consolidated to one thread, so do a quick search on existing requests to check if anybody else has reported the same thing. You can scope searches by the label "enhancement" to help narrow things down.
-
Include a use case description: In addition to describing the behavior of the feature you'd like to see added, it's helpful to also lay out the reason why the feature would be important and how it would benefit Terraform users.
- Search for answers in Terraform documentation: We're happy to answer questions in GitHub Issues, but it helps reduce issue churn and maintainer workload if you work to find answers to common questions in the documentation. Oftentimes Question issues result in documentation updates to help future users, so if you don't find an answer, you can give us pointers for where you'd expect to see it in the docs.
-
The issue is reported.
-
The issue is verified and categorized by a Terraform collaborator. Categorization is done via GitHub labels. We generally use a two-label system of (1) issue/PR type, and (2) section of the codebase. Type is one of "bug", "enhancement", "documentation", or "question", and section is usually the AWS service name.
-
An initial triage process determines whether the issue is critical and must be addressed immediately, or can be left open for community discussion.
-
The issue is addressed in a pull request or commit. The issue number will be referenced in the commit message so that the code that fixes it is clearly linked.
-
The issue is closed. Sometimes, valid issues will be closed because they are tracked elsewhere or non-actionable. The issue is still indexed and available for future viewers, or can be re-opened if necessary.
We appreciate direct contributions to the provider codebase. Here's what to expect:
- For pull requests that follow the guidelines, we will proceed to reviewing and merging, following the provider team's review schedule. There may be some internal or community discussion needed before we can complete this.
- Pull requests that don't follow the guidelines will be commented with what they're missing. The person who submits the pull request or another community member will need to address those requests before they move forward.
-
Fork the GitHub repository, modify the code, and create a pull request. You are welcome to submit your pull request for commentary or review before it is fully completed by creating a draft pull request or adding
[WIP]
to the beginning of the pull request title. Please include specific questions or items you'd like feedback on. -
Once you believe your pull request is ready to be reviewed, ensure the pull request is not a draft pull request by marking it ready for review or removing
[WIP]
from the pull request title if necessary, and a maintainer will review it. Follow the checklists below to help ensure that your contribution can be easily reviewed and potentially merged. -
One of Terraform's provider team members will look over your contribution and either approve it or provide comments letting you know if there is anything left to do. We do our best to keep up with the volume of PRs waiting for review, but it may take some time depending on the complexity of the work.
-
Once all outstanding comments and checklist items have been addressed, your contribution will be merged! Merged PRs will be included in the next Terraform release. The provider team takes care of updating the CHANGELOG as they merge.
-
In some cases, we might decide that a PR should be closed without merging. We'll make sure to provide clear reasoning when this happens.
There are several different kinds of contribution, each of which has its own standards for a speedy review. The following sections describe guidelines for each type of contribution.
The Terraform AWS Provider's website source is in this repository along with the code and tests. Below are some common items that will get flagged during documentation reviews:
- Reasoning for Change: Documentation updates should include an explanation for why the update is needed.
- Prefer AWS Documentation: Documentation about AWS service features and valid argument values that are likely to update over time should link to AWS service user guides and API references where possible.
- Large Example Configurations: Example Terraform configuration that includes multiple resource definitions should be added to the repository
examples
directory instead of an individual resource documentation page. Each directory underexamples
should be self-contained to callterraform apply
without special configuration. - Terraform Configuration Language Features: Individual resource documentation pages and examples should refrain from highlighting particular Terraform configuration language syntax workarounds or features such as
variable
,local
,count
, and built-in functions.
Working on existing resources is a great way to get started as a Terraform contributor because you can work within existing code and tests to get a feel for what to do.
In addition to the below checklist, please see the Common Review Items sections for more specific coding and testing guidelines.
- Acceptance test coverage of new behavior: Existing resources each have a set of acceptance tests covering their functionality. These tests should exercise all the behavior of the resource. Whether you are adding something or fixing a bug, the idea is to have an acceptance test that fails if your code were to be removed. Sometimes it is sufficient to "enhance" an existing test by adding an assertion or tweaking the config that is used, but it's often better to add a new test. You can copy/paste an existing test and follow the conventions you see there, modifying the test to exercise the behavior of your code.
- Documentation updates: If your code makes any changes that need to be documented, you should include those doc updates in the same PR. This includes things like new resource attributes or changes in default values. The Terraform website source is in this repo and includes instructions for getting a local copy of the site up and running if you'd like to preview your changes.
- Well-formed Code: Do your best to follow existing conventions you
see in the codebase, and ensure your code is formatted with
go fmt
. (The Travis CI build will fail ifgo fmt
has not been run on incoming code.) The PR reviewers can help out on this front, and may provide comments with suggestions on how to improve the code. - Vendor additions: Create a separate PR if you are updating the vendor folder. This is to avoid conflicts as the vendor versions tend to be fast- moving targets. We will plan to merge the PR with this change first.
Adding import support for Terraform resources will allow existing infrastructure to be managed within Terraform. This type of enhancement generally requires a small to moderate amount of code changes.
Comprehensive code examples and information about resource import support can be found in the Extending Terraform documentation.
In addition to the below checklist and the items noted in the Extending Terraform documentation, please see the Common Review Items sections for more specific coding and testing guidelines.
- Resource Code Implementation: In the resource code (e.g.
aws/resource_aws_service_thing.go
), implementation ofImporter
State
function - Resource Acceptance Testing Implementation: In the resource acceptance testing (e.g.
aws/resource_aws_service_thing_test.go
), implementation ofTestStep
s withImportState: true
- Resource Documentation Implementation: In the resource documentation (e.g.
website/docs/r/service_thing.html.markdown
), addition ofImport
documentation section at the bottom of the page
Implementing a new resource is a good way to learn more about how Terraform interacts with upstream APIs. There are plenty of examples to draw from in the existing resources, but you still get to implement something completely new.
In addition to the below checklist, please see the Common Review Items sections for more specific coding and testing guidelines.
-
Minimal LOC: It's difficult for both the reviewer and author to go through long feedback cycles on a big PR with many resources. We ask you to only submit 1 resource at a time.
-
Acceptance tests: New resources should include acceptance tests covering their behavior. See Writing Acceptance Tests below for a detailed guide on how to approach these.
-
Resource Naming: Resources should be named
aws_<service>_<name>
, using underscores (_
) as the separator. Resources are namespaced with the service name to allow easier searching of related resources, to align the resource naming with the service for Customizing Endpoints, and to prevent future conflicts with new AWS services/resources. For reference:service
is the AWS short service name that matches the entry inendpointServiceNames
(created via the New Service section)name
represents the conceptual infrastructure represented by the create, read, update, and delete methods of the service API. It should be a singular noun. For example, in an API that has methods such asCreateThing
,DeleteThing
,DescribeThing
, andModifyThing
the name of the resource would end in_thing
.
-
Arguments_and_Attributes: The HCL for arguments and attributes should mimic the types and structs presented by the AWS API. API arguments should be converted from
CamelCase
tocamel_case
. -
Documentation: Each resource gets a page in the Terraform documentation. The Terraform website source is in this repo and includes instructions for getting a local copy of the site up and running if you'd like to preview your changes. For a resource, you'll want to add a new file in the appropriate place and add a link to the sidebar for that page.
-
Well-formed Code: Do your best to follow existing conventions you see in the codebase, and ensure your code is formatted with
go fmt
. (The Travis CI build will fail ifgo fmt
has not been run on incoming code.) The PR reviewers can help out on this front, and may provide comments with suggestions on how to improve the code. -
Vendor updates: Create a separate PR if you are adding to the vendor folder. This is to avoid conflicts as the vendor versions tend to be fast- moving targets. We will plan to merge the PR with this change first.
Implementing a new AWS service gives Terraform the ability to manage resources in a whole new API. It's a larger undertaking, but brings major new functionality into Terraform.
-
Service Client: Before new resources are submitted, we request a separate pull request containing just the new AWS Go SDK service client. Doing so will pull the AWS Go SDK service code into the project at the current version. Since the AWS Go SDK is updated frequently, these pull requests can easily have merge conflicts or be out of date. The maintainers prioritize reviewing and merging these quickly to prevent those situations.
To add the AWS Go SDK service client:
- In
aws/provider.go
Add a new service entry toendpointServiceNames
. This service name should match the AWS Go SDK or AWS CLI service name. - In
aws/config.go
: Add a new import for the AWS Go SDK code. e.g.github.com/aws/aws-sdk-go/service/quicksight
- In
aws/config.go
: Add a new{SERVICE}conn
field to theAWSClient
struct for the service client. The service name should match the name inendpointServiceNames
. e.g.quicksightconn *quicksight.QuickSight
- In
aws/config.go
: Create the new service client in the{SERVICE}conn
field in theAWSClient
instantiation withinClient()
. e.g.quicksightconn: quicksight.New(sess.Copy(&aws.Config{Endpoint: aws.String(c.Endpoints["quicksight"])})),
- In
website/docs/guides/custom-service-endpoints.html.md
: Add the service name in the list of customizable endpoints. - Run the following then submit the pull request:
go test ./aws go mod tidy go mod vendor
- In
-
Initial Resource: Some services can be big and it can be difficult for both reviewer & author to go through long feedback cycles on a big PR with many resources. Often feedback items in one resource will also need to be applied in other resources. We prefer you to submit the necessary minimum in a single PR, ideally just the first resource of the service.
The initial resource and changes afterwards should follow the other sections of this guide as appropriate.
While region validation is automatically added with SDK updates, new regions are generally limited in which services they support. Below are some manually sourced values from documentation.
- Check Regions and Endpoints ELB regions and add Route53 Hosted Zone ID if available to
aws/data_source_aws_elb_hosted_zone_id.go
- Check Regions and Endpoints S3 website endpoints and add Route53 Hosted Zone ID if available to
aws/hosted_zones.go
- Check CloudTrail Supported Regions docs and add AWS Account ID if available to
aws/data_source_aws_cloudtrail_service_account.go
- Check Elastic Load Balancing Access Logs docs and add Elastic Load Balancing Account ID if available to
aws/data_source_aws_elb_service_account.go
- Check Redshift Database Audit Logging docs and add AWS Account ID if available to
aws/data_source_aws_redshift_service_account.go
- Check Regions and Endpoints Elastic Beanstalk and add Route53 Hosted Zone ID if available to
aws/data_source_aws_elastic_beanstalk_hosted_zone.go
The Terraform AWS Provider follows common practices to ensure consistent and reliable implementations across all resources in the project. While there may be older resource and testing code that predates these guidelines, new submissions are generally expected to adhere to these items to maintain Terraform Provider quality. For any guidelines listed, contributors are encouraged to ask any questions and community reviewers are encouraged to provide review suggestions based on these guidelines to speed up the review and merge process.
The following Go language resources provide common coding preferences that may be referenced during review, if not automatically handled by the project's linting tools.
The following resource checks need to be addressed before your contribution can be merged. The exclusion of any applicable check may result in a delayed time to merge.
-
Passes Testing: All code and documentation changes must pass unit testing, code linting, and website link testing. Resource code changes must pass all acceptance testing for the resource.
-
Avoids API Calls Across Account, Region, and Service Boundaries: Resources should not implement cross-account, cross-region, or cross-service API calls.
-
Avoids Optional and Required for Non-Configurable Attributes: Resource schema definitions for read-only attributes should not include
Optional: true
orRequired: true
. -
Avoids resource.Retry() without resource.RetryableError(): Resource logic should only implement
resource.Retry()
if there is a retryable condition (e.g.return resource.RetryableError(err)
). -
Avoids Resource Read Function in Data Source Read Function: Data sources should fully implement their own resource
Read
functionality including duplicatingd.Set()
calls. -
Avoids Reading Schema Structure in Resource Code: The resource
Schema
should not be read in resourceCreate
/Read
/Update
/Delete
functions to perform looping or otherwise complex attribute logic. Used.Get()
andd.Set()
directly with individual attributes instead. -
Implements Read After Create and Update: Except where API eventual consistency prohibits immediate reading of resources or updated attributes, resource
Create
andUpdate
functions should return the resourceRead
function. -
Implements Immediate Resource ID Set During Create: Immediately after calling the API creation function, the resource ID should be set with
d.SetId()
before other API operations or returning theRead
function. -
Implements Attribute Refreshes During Read: All attributes available in the API should have
d.Set()
called their values in the Terraform state during theRead
function. -
Implements Error Checks with Non-Primative Attribute Refreshes: When using
d.Set()
with non-primative types (schema.TypeList
,schema.TypeSet
, orschema.TypeMap
), perform error checking to prevent issues where the code is not properly able to refresh the Terraform state. -
Implements Import Acceptance Testing and Documentation: Support for resource import (
Importer
in resource schema) must includeImportState
acceptance testing (see also the Acceptance Testing Guidelines below) and## Import
section in resource documentation. -
Implements Customizable Timeouts Documentation: Support for customizable timeouts (
Timeouts
in resource schema) must include## Timeouts
section in resource documentation. -
Implements State Migration When Adding New Virtual Attribute: For new "virtual" attributes (those only in Terraform and not in the API), the schema should implement State Migration to prevent differences for existing configurations that upgrade.
-
Uses AWS Go SDK Constants: Many AWS services provide string constants for value enumerations, error codes, and status types. See also the "Constants" sections under each of the service packages in the AWS Go SDK documentation.
-
Uses AWS Go SDK Pointer Conversion Functions: Many APIs return pointer types and these functions return the zero value for the type if the pointer is
nil
. This prevents potential panics from unchecked*
pointer dereferences and can eliminate boilerplatenil
checking in many cases. See also theaws
package in the AWS Go SDK documentation. -
Uses AWS Go SDK Types: Use available SDK structs instead of implementing custom types with indirection.
-
Uses TypeList and MaxItems: 1: Configuration block attributes (e.g.
Type: schema.TypeList
orType: schema.TypeSet
withElem: &schema.Resource{...}
) that can only have one block should useType: schema.TypeList
andMaxItems: 1
in the schema definition. -
Uses Existing Validation Functions: Schema definitions including
ValidateFunc
for attribute validation should use available Terraformhelper/validation
package functions.All()
/Any()
can be used for combining multiple validation function behaviors. -
Uses isResourceTimeoutError() with resource.Retry(): Resource logic implementing
resource.Retry()
should error check withisResourceTimeoutError(err error)
and potentially unset the error before returning the error. For example:var output *kms.CreateKeyOutput err := resource.Retry(1*time.Minute, func() *resource.RetryError { var err error output, err = conn.CreateKey(input) /* ... */ return nil }) if isResourceTimeoutError(err) { output, err = conn.CreateKey(input) } if err != nil { return fmt.Errorf("error creating KMS External Key: %s", err) }
-
Uses resource.NotFoundError: Custom errors for missing resources should use
resource.NotFoundError
. -
Skips Exists Function: Implementing a resource
Exists
function is extraneous as it often duplicates resourceRead
functionality. Ensured.SetId("")
is used to appropriately trigger resource recreation in the resourceRead
function. -
Skips id Attribute: The
id
attribute is implicit for all Terraform resources and does not need to be defined in the schema.
The below are style-based items that may be noted during review and are recommended for simplicity, consistency, and quality assurance:
- Avoids CustomizeDiff: Usage of
CustomizeDiff
is generally discouraged. - Implements Error Message Context: Returning errors from resource
Create
,Read
,Update
, andDelete
functions should include additional messaging about the location or cause of the error for operators and code maintainers by wrapping withfmt.Errorf()
.- An example
Delete
API error:return fmt.Errorf("error deleting {SERVICE} {THING} (%s): %s", d.Id(), err)
- An example
d.Set()
error:return fmt.Errorf("error setting {ATTRIBUTE}: %s", err)
- An example
- Implements arn Attribute: APIs that return an Amazon Resource Name (ARN), should implement
arn
as an attribute. - Implements Warning Logging With Resource State Removal: If a resource is removed outside of Terraform (e.g. via different tool, API, or web UI),
d.SetId("")
andreturn nil
can be used in the resourceRead
function to trigger resource recreation. When this occurs, a warning log message should be printed beforehand:log.Printf("[WARN] {SERVICE} {THING} (%s) not found, removing from state", d.Id())
- Uses isAWSErr() with AWS Go SDK Error Objects: Use the available
isAWSErr(err error, code string, message string)
helper function instead of theawserr
package to compare error code and message contents. - Uses %s fmt Verb with AWS Go SDK Objects: AWS Go SDK objects implement
String()
so using the%v
,%#v
, or%+v
fmt verbs with the object are extraneous or provide unhelpful detail. - Uses Elem with TypeMap: While provider schema validation does not error when the
Elem
configuration is not present withType: schema.TypeMap
attributes, including the explicitElem: &schema.Schema{Type: schema.TypeString}
is recommended. - Uses American English for Attribute Naming: For any ambiguity with attribute naming, prefer American English over British English. e.g.
color
instead ofcolour
. - Skips Timestamp Attributes: Generally, creation and modification dates from the API should be omitted from the schema.
- Skips Error() Call with AWS Go SDK Error Objects: Error objects do not need to have
Error()
called.
The below are required items that will be noted during submission review and prevent immediate merging:
- Implements CheckDestroy: Resource testing should include a
CheckDestroy
function (typically namedtestAccCheckAws{SERVICE}{RESOURCE}Destroy
) that calls the API to verify that the Terraform resource has been deleted or disassociated as appropriate. More information aboutCheckDestroy
functions can be found in the Extending Terraform TestCase documentation. - Implements Exists Check Function: Resource testing should include a
TestCheckFunc
function (typically namedtestAccCheckAws{SERVICE}{RESOURCE}Exists
) that calls the API to verify that the Terraform resource has been created or associated as appropriate. Preferably, this function will also accept a pointer to an API object representing the Terraform resource from the API response that can be set for potential usage in laterTestCheckFunc
. More information about these functions can be found in the Extending Terraform Custom Check Functions documentation. - Excludes Provider Declarations: Test configurations should not include
provider "aws" {...}
declarations. If necessary, only the provider declarations inprovider_test.go
should be used for multiple account/region or otherwise specialized testing. - Passes in us-west-2 Region: Tests default to running in
us-west-2
and at a minimum should pass in that region or include necessaryPreCheck
functions to skip the test when ran outside an expected environment. - Uses resource.ParallelTest: Tests should utilize
resource.ParallelTest()
instead ofresource.Test()
except where serialized testing is absolutely required. - Uses fmt.Sprintf(): Test configurations preferably should to be separated into their own functions (typically named
testAccAws{SERVICE}{RESOURCE}Config{PURPOSE}
) that callfmt.Sprintf()
for variable injection or a stringconst
for completely static configurations. Test configurations should avoidvar
or other variable injection functionality such astext/template
. - Uses Randomized Infrastructure Naming: Test configurations that utilize resources where a unique name is required should generate a random name. Typically this is created via
rName := acctest.RandomWithPrefix("tf-acc-test")
in the acceptance test function before generating the configuration.
For resources that support import, the additional item below is required that will be noted during submission review and prevent immediate merging:
- Implements ImportState Testing: Tests should include an additional
TestStep
configuration that verifies resource import viaImportState: true
andImportStateVerify: true
. ThisTestStep
should be added to all possible tests for the resource to ensure that all infrastructure configurations are properly imported into Terraform.
The below are style-based items that may be noted during review and are recommended for simplicity, consistency, and quality assurance:
- Uses Builtin Check Functions: Tests should utilize already available check functions, e.g.
resource.TestCheckResourceAttr()
, to verify values in the Terraform state over creating customTestCheckFunc
. More information about these functions can be found in the Extending Terraform Builtin Check Functions documentation. - Uses TestCheckResoureAttrPair() for Data Sources: Tests should utilize
resource.TestCheckResourceAttrPair()
to verify values in the Terraform state for data sources attributes to compare them with their expected resource attributes. - Excludes Timeouts Configurations: Test configurations should not include
timeouts {...}
configuration blocks except for explicit testing of customizable timeouts (typically very short timeouts withExpectError
). - Implements Default and Zero Value Validation: The basic test for a resource (typically named
TestAccAws{SERVICE}{RESOURCE}_basic
) should utilize available check functions, e.g.resource.TestCheckResourceAttr()
, to verify default and zero values in the Terraform state for all attributes. Empty/missing configuration blocks can be verified withresource.TestCheckResourceAttr(resourceName, "{ATTRIBUTE}.#", "0")
and empty maps withresource.TestCheckResourceAttr(resourceName, "{ATTRIBUTE}.%", "0")
The below are location-based items that may be noted during review and are recommended for consistency with testing flexibility. Resource testing is expected to pass across multiple AWS environments supported by the Terraform AWS Provider (e.g. AWS Standard and AWS GovCloud (US)). Contributors are not expected or required to perform testing outside of AWS Standard, e.g. running only in the us-west-2
region is perfectly acceptable, however these are provided for reference:
-
Uses aws_ami Data Source: Any hardcoded AMI ID configuration, e.g.
ami-12345678
, should be replaced with theaws_ami
data source pointing to an Amazon Linux image. A common pattern is a configuration like the below, which will likely be moved into a common configuration function in the future:data "aws_ami" "amzn-ami-minimal-hvm-ebs" { most_recent = true owners = ["amazon"] filter { name = "name" values = ["amzn-ami-minimal-hvm-*"] } filter { name = "root-device-type" values = ["ebs"] } }
-
Uses aws_availability_zones Data Source: Any hardcoded AWS Availability Zone configuration, e.g.
us-west-2a
, should be replaced with theaws_availability_zones
data source. A common pattern is declaringdata "aws_availability_zones" "current" {}
and referencing it viadata.aws_availability_zones.current.names[0]
ordata.aws_availability_zones.current.names[count.index]
in resources utilizingcount
. -
Uses aws_region Data Source: Any hardcoded AWS Region configuration, e.g.
us-west-2
, should be replaced with theaws_region
data source. A common pattern is declaringdata "aws_region" "cname}
and referencing it viadata.aws_region.current.name
-
Uses aws_partition Data Source: Any hardcoded AWS Partition configuration, e.g. the
aws
in aarn:aws:SERVICE:REGION:ACCOUNT:RESOURCE
ARN, should be replaced with theaws_partition
data source. A common pattern is declaringdata "aws_partition" "current" {}
and referencing it viadata.aws_partition.current.partition
-
Uses Builtin ARN Check Functions: Tests should utilize available ARN check functions, e.g.
testAccMatchResourceAttrRegionalARN()
, to validate ARN attribute values in the Terraform state overresource.TestCheckResourceAttrSet()
andresource.TestMatchResourceAttr()
-
Uses testAccCheckResourceAttrAccountID(): Tests should utilize the available AWS Account ID check function,
testAccCheckResourceAttrAccountID()
to validate account ID attribute values in the Terraform state overresource.TestCheckResourceAttrSet()
andresource.TestMatchResourceAttr()
Terraform includes an acceptance test harness that does most of the repetitive work involved in testing a resource. For additional information about testing Terraform Providers, see the Extending Terraform documentation.
Because acceptance tests create real resources, they often cost money to run. Because the resources only exist for a short period of time, the total amount of money required is usually a relatively small. Nevertheless, we don't want financial limitations to be a barrier to contribution, so if you are unable to pay to run acceptance tests for your contribution, mention this in your pull request. We will happily accept "best effort" implementations of acceptance tests and run them for you on our side. This might mean that your PR takes a bit longer to merge, but it most definitely is not a blocker for contributions.
Acceptance tests can be run using the testacc
target in the Terraform
Makefile
. The individual tests to run can be controlled using a regular
expression. Prior to running the tests provider configuration details such as
access keys must be made available as environment variables.
For example, to run an acceptance test against the Amazon Web Services provider, the following environment variables must be set:
# Using a profile
export AWS_PROFILE=...
# Otherwise
export AWS_ACCESS_KEY_ID=...
export AWS_SECRET_ACCESS_KEY=...
export AWS_DEFAULT_REGION=...
Please note that the default region for the testing is us-west-2
and must be
overriden via the AWS_DEFAULT_REGION
environment variable, if necessary. This
is especially important for testing AWS GovCloud (US), which requires:
export AWS_DEFAULT_REGION=us-gov-west-1
Tests can then be run by specifying the target provider and a regular expression defining the tests to run:
$ make testacc TEST=./aws TESTARGS='-run=TestAccAWSCloudWatchDashboard_update'
==> Checking that code complies with gofmt requirements...
TF_ACC=1 go test ./aws -v -run=TestAccAWSCloudWatchDashboard_update -timeout 120m
=== RUN TestAccAWSCloudWatchDashboard_update
--- PASS: TestAccAWSCloudWatchDashboard_update (26.56s)
PASS
ok github.com/terraform-providers/terraform-provider-aws/aws 26.607s
Entire resource test suites can be targeted by using the naming convention to
write the regular expression. For example, to run all tests of the
aws_cloudwatch_dashboard
resource rather than just the update test, you can start
testing like this:
$ make testacc TEST=./aws TESTARGS='-run=TestAccAWSCloudWatchDashboard'
==> Checking that code complies with gofmt requirements...
TF_ACC=1 go test ./aws -v -run=TestAccAWSCloudWatchDashboard -timeout 120m
=== RUN TestAccAWSCloudWatchDashboard_importBasic
--- PASS: TestAccAWSCloudWatchDashboard_importBasic (15.06s)
=== RUN TestAccAWSCloudWatchDashboard_basic
--- PASS: TestAccAWSCloudWatchDashboard_basic (12.70s)
=== RUN TestAccAWSCloudWatchDashboard_update
--- PASS: TestAccAWSCloudWatchDashboard_update (27.81s)
PASS
ok github.com/terraform-providers/terraform-provider-aws/aws 55.619s
Terraform has a framework for writing acceptance tests which minimises the
amount of boilerplate code necessary to use common testing patterns. The entry
point to the framework is the resource.ParallelTest()
function.
Tests are divided into TestStep
s. Each TestStep
proceeds by applying some
Terraform configuration using the provider under test, and then verifying that
results are as expected by making assertions using the provider API. It is
common for a single test function to exercise both the creation of and updates
to a single resource. Most tests follow a similar structure.
- Pre-flight checks are made to ensure that sufficient provider configuration
is available to be able to proceed - for example in an acceptance test
targeting AWS,
AWS_ACCESS_KEY_ID
andAWS_SECRET_ACCESS_KEY
must be set prior to running acceptance tests. This is common to all tests exercising a single provider.
Each TestStep
is defined in the call to resource.ParallelTest()
. Most assertion
functions are defined out of band with the tests. This keeps the tests
readable, and allows reuse of assertion functions across different tests of the
same type of resource. The definition of a complete test looks like this:
func TestAccAWSCloudWatchDashboard_basic(t *testing.T) {
var dashboard cloudwatch.GetDashboardOutput
rInt := acctest.RandInt()
resource.ParallelTest(t, resource.TestCase{
PreCheck: func() { testAccPreCheck(t) },
Providers: testAccProviders,
CheckDestroy: testAccCheckAWSCloudWatchDashboardDestroy,
Steps: []resource.TestStep{
{
Config: testAccAWSCloudWatchDashboardConfig(rInt),
Check: resource.ComposeTestCheckFunc(
testAccCheckCloudWatchDashboardExists("aws_cloudwatch_dashboard.foobar", &dashboard),
resource.TestCheckResourceAttr("aws_cloudwatch_dashboard.foobar", "dashboard_name", testAccAWSCloudWatchDashboardName(rInt)),
),
},
},
})
}
When executing the test, the following steps are taken for each TestStep
:
-
The Terraform configuration required for the test is applied. This is responsible for configuring the resource under test, and any dependencies it may have. For example, to test the
aws_cloudwatch_dashboard
resource, a valid configuration with the requisite fields is required. This results in configuration which looks like this:resource "aws_cloudwatch_dashboard" "foobar" { dashboard_name = "terraform-test-dashboard-%d" dashboard_body = <<EOF { "widgets": [{ "type": "text", "x": 0, "y": 0, "width": 6, "height": 6, "properties": { "markdown": "Hi there from Terraform: CloudWatch" } }] } EOF }
-
Assertions are run using the provider API. These use the provider API directly rather than asserting against the resource state. For example, to verify that the
aws_cloudwatch_dashboard
described above was created successfully, a test function like this is used:func testAccCheckCloudWatchDashboardExists(n string, dashboard *cloudwatch.GetDashboardOutput) resource.TestCheckFunc { return func(s *terraform.State) error { rs, ok := s.RootModule().Resources[n] if !ok { return fmt.Errorf("Not found: %s", n) } conn := testAccProvider.Meta().(*AWSClient).cloudwatchconn params := cloudwatch.GetDashboardInput{ DashboardName: aws.String(rs.Primary.ID), } resp, err := conn.GetDashboard(¶ms) if err != nil { return err } *dashboard = *resp return nil } }
Notice that the only information used from the Terraform state is the ID of the resource. For computed properties, we instead assert that the value saved in the Terraform state was the expected value if possible. The testing framework provides helper functions for several common types of check - for example:
resource.TestCheckResourceAttr("aws_cloudwatch_dashboard.foobar", "dashboard_name", testAccAWSCloudWatchDashboardName(rInt)),
-
The resources created by the test are destroyed. This step happens automatically, and is the equivalent of calling
terraform destroy
. -
Assertions are made against the provider API to verify that the resources have indeed been removed. If these checks fail, the test fails and reports "dangling resources". The code to ensure that the
aws_cloudwatch_dashboard
shown above has been destroyed looks like this:func testAccCheckAWSCloudWatchDashboardDestroy(s *terraform.State) error { conn := testAccProvider.Meta().(*AWSClient).cloudwatchconn for _, rs := range s.RootModule().Resources { if rs.Type != "aws_cloudwatch_dashboard" { continue } params := cloudwatch.GetDashboardInput{ DashboardName: aws.String(rs.Primary.ID), } _, err := conn.GetDashboard(¶ms) if err == nil { return fmt.Errorf("Dashboard still exists: %s", rs.Primary.ID) } if !isCloudWatchDashboardNotFoundErr(err) { return err } } return nil }
These functions usually test only for the resource directly under test.
When testing requires AWS infrastructure in a second AWS account, the below changes to the normal setup will allow the management or reference of resources and data sources across accounts:
- In the
PreCheck
function, includetestAccAlternateAccountPreCheck(t)
to ensure a standardized set of information is required for cross-account testing credentials - Declare a
providers
variable at the top of the test function:var providers []*schema.Provider
- Switch usage of
Providers: testAccProviders
toProviderFactories: testAccProviderFactories(&providers)
- Add
testAccAlternateAccountProviderConfig()
to the test configuration and useprovider = "aws.alternate"
for cross-account resources. The resource that is the focus of the acceptance test should not use the provider alias to simplify the testing setup. - For any
TestStep
that includesImportState: true
, add theConfig
that matches the previousTestStep
Config
An example acceptance test implementation can be seen below:
func TestAccAwsExample_basic(t *testing.T) {
var providers []*schema.Provider
resourceName := "aws_example.test"
resource.ParallelTest(t, resource.TestCase{
PreCheck: func() {
testAccPreCheck(t)
testAccAlternateAccountPreCheck(t)
},
ProviderFactories: testAccProviderFactories(&providers),
CheckDestroy: testAccCheckAwsExampleDestroy,
Steps: []resource.TestStep{
{
Config: testAccAwsExampleConfig(),
Check: resource.ComposeTestCheckFunc(
testAccCheckAwsExampleExists(resourceName),
// ... additional checks ...
),
},
{
Config: testAccAwsExampleConfig(),
ResourceName: resourceName,
ImportState: true,
ImportStateVerify: true,
},
},
})
}
func testAccAwsExampleConfig() string {
return testAccAlternateAccountProviderConfig() + fmt.Sprintf(`
# Cross account resources should be handled by the cross account provider.
# The standardized provider alias is aws.alternate as seen below.
resource "aws_cross_account_example" "test" {
provider = "aws.alternate"
# ... configuration ...
}
# The resource that is the focus of the testing should be handled by the default provider,
# which is automatically done by not specifying the provider configuration in the resource.
resource "aws_example" "test" {
# ... configuration ...
}
`)
}
Searching for usage of testAccAlternateAccountPreCheck
in the codebase will yield real world examples of this setup in action.
Running these acceptance tests is the same as before, except the following additional credential information is required:
# Using a profile
export AWS_ALTERNATE_PROFILE=...
# Otherwise
export AWS_ALTERNATE_ACCESS_KEY_ID=...
export AWS_ALTERNATE_SECRET_ACCESS_KEY=...