FaceBlurer

System requirements:

• terraform [https://www.terraform.io/downloads.html]
• python 3.8 [https://www.python.org/downloads/]
• awsume [https://awsu.me]
• pre-commit [https://pre-commit.com/]

Installation

Build AWS infrastructure

Prepare AWS requirements [backend.tf]

Manually create the S3 bucket for Terraform backend with the name tf-state-manager with enable Bucket Versioning. The backend also supports state locking and consistency checking via Dynamo DB, which can define by the dynamodb_table field - create DynamoDB table with the name tf-state-manager, the table must have a primary key named LockID with type of string.

Build FaceBlurer environment

Execute all Terraform commands from the infrastructure directory.

1. Create Terraform workspace

terraform workspace new $workspace_name
terraform workspace select $workspace_name

2. Init Terraform project

terraform init

3. Apply Terraform project to AWS

terraform apply -var-file=development/development.tfvars --auto-approve

Destroy environment:

terraform destroy -var-file=development/development.tfvars --auto-approve

Python tests

Install tests requirements:

pip install -r requirements-test.txt

Run unit tests:

pytest tests --html=report.html -vv

Run integration tests:

pytest -vv -x --environment="{terraform_workspace_name}" --tf_state_bucket_name="{tf_state_bucket_name}" integration_tests --html=report.html

Project tools

Install pre-commit hooks

pre-commit install

You can run pre-commmit manually:

pre-commit run --all-files