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FaceBlurer

Architecture overview

System requirements:

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
  1. Init Terraform project
terraform init
  1. 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

face_blurer's People

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