I’ve been trying to add CI/CD pipeline circleci
to my AWS project
written in Terraform
.
The problem is, terraform init
plan
apply
works in my local machine, but it throws this error in CircleCI.
Error –
Initializing the backend...
╷
│ Error: error configuring S3 Backend: no valid credential sources for S3 Backend found.
│
│ Please see https://www.terraform.io/docs/language/settings/backends/s3.html
│ for more information about providing credentials.
│
│ Error: NoCredentialProviders: no valid providers in chain. Deprecated.
│ For verbose messaging see aws.Config.CredentialsChainVerboseErrors
My circleCi config
is this –
version: 2.1
orbs:
python: circleci/[email protected]
# terraform: circleci/[email protected]
jobs:
build:
# will use a python 3.10.2 container
docker:
- image: cimg/python:3.10.2
working_directory: ~/project
steps:
- checkout
- run:
name: Check pyton version
command: python --version
- run:
name: get current dir
command: pwd
- run:
name: list of things in that
command: ls -a
- run:
name: Install terraform
command: bash scripts/install_tf.sh
- run:
name: Init infrastructure
command: bash scripts/init.sh dev
# Invoke jobs via workflows
workflows:
.......
And my init.sh
is –
cd ./Terraform
echo "arg: $1"
if [[ "$1" == "dev" || "$1" == "stage" || "$1" == "prod" ]];
then
echo "environement: $1"
terraform init -migrate-state -backend-config=backend.$1.conf -var-file=terraform.$1.tfvars
else
echo "Wrong Argument"
echo "Pass 'dev', 'stage' or 'prod' only."
fi
My main.tf
is –
provider "aws" {
profile = "${var.profile}"
region = "${var.region}"
}
terraform {
backend "s3" {
}
}
And `backend.dev.conf is –
bucket = "bucket-name"
key = "mystate.tfstate"
region = "ap-south-1"
profile = "dev"
Also, my terraform.dev.tfvars
is –
region = "ap-south-1"
profile = "dev"
These work perfectly with in my local unix (mac m1), but throws error in circleCI
for backend. Yes, I’ve added environment variables with my aws_secret_access_key
and aws_access_key_id
, still it doesn’t work.
I’ve seen so many tutorials and nothing seems to solve this, I don’t want to write aws credentials in my code. any idea how I can solve this?
Update:
I have updated my pipeline to this –
version: 2.1
orbs:
python: circleci/[email protected]
aws-cli: circleci/[email protected]
jobs:
build:
# will use a python 3.10.2 container
docker:
- image: cimg/python:3.10.2
working_directory: ~/project
# Checkout the code as the first step. This is a dedicated
steps:
- checkout
- run:
name: Check pyton version
command: python --version
- run:
name: get current dir
command: pwd
- run:
name: list of things in that
command: ls -a
aws-cli-cred-setup:
executor: aws-cli/default
steps:
- aws-cli/setup:
aws-access-key-id: aws_access_key_id
aws-secret-access-key: aws_secret_access_key
aws-region: region
- run:
name: get aws acc info
command: aws sts get-caller-identity
terraform-setup:
executor: aws-cli/default
working_directory: ~/project
steps:
- checkout
- run:
name: Install terraform
command: bash scripts/install_tf.sh
- run:
name: Init infrastructure
command: bash scripts/init.sh dev
context: terraform
# Invoke jobs via workflows
workflows:
dev_workflow:
jobs:
- build:
filters:
branches:
only: main
- aws-cli-cred-setup
# context: aws
- terraform-setup:
requires:
- aws-cli-cred-setup
But it still throws the same error.
3
Answers
Ok I managed to fix this issue. You have to remove profile from
provider and other .tf files
files. So mymain.tf
file is -And
backend.dev.conf
is -And most importantly, You have to put
acccess key
,access key id
andregion
insidecircleci-> your project -> environment variable
, And you have to setup AWS CLI on circleci, apparently inside a jobconfig.yml
-This solved the issue. But you have to init, plan and apply inside the job where you set up
aws cli
. I might be wrong to do setup and plan inside same job, but I'm learning now and this did the job. API changed and old tutorials don't work nowadays. Comment me your suggestions if any.You have probably added the
aws_secret_access_key
andaws_access_key_id
to your project settings. But I don’t see them being used in your pipeline configuration. You should do something like, so they are known during runtime:I would advise you read about environment variables in the documentation.
Adding a profile to your backend will fix this issue. Example: