Deployment example ====================================================================== This example demonstrates how to use the BESSER :doc:`../generators/backend` and :doc:`../generators/terraform` with the :doc:`../examples/dpp` model to create a backend service, build and upload Docker images, and deploy the infrastructure using Terraform. Deployment Model ---------------- First, define your deployment model using the provided :doc:`grammar <../buml_language/model_building/deployment_grammar>`: .. code-block:: python Deployment model{ applications { -> name: app1, image: "image/latest", port: 8000, cpu_required: 10m, memory_required: 100Mi, domain_model: "dpp_model" } services { -> name: service1, port: 80, target_port: 8000, protocol: HTTP, type: lb, app_name: app1 } containers { -> name: container1, app_name: app1, cpu_limit: 500m, memory_limit: 512Mi } deployments { -> name: deployment1, replicas: 2, containers: [container1] } regions { -> name: us-east1 } clusters { -> public_cluster name: cluster1, number_of_nodes: 3, provider: google, config_file: "config_google.conf", services: [service1], deployments: [deployment1], regions: [us-east1], net_config: True -> public_cluster name: cluster2, number_of_nodes: 3, provider: aws, config_file: "config_aws.conf", services: [service1], deployments: [deployment1], regions: [us-east1], net_config: True } } Step 1: Generate the Backend ---------------------------- Use the Backend Generator to create the backend code for the ``library_model``. .. code-block:: python from besser.generators.backend import BackendGenerator backend = BackendGenerator(model=dpp_model, http_methods=['GET', 'POST', 'PUT', 'DELETE'], nested_creations=True, docker_image = True) backend.generate() This will generate the backend code in the ``output_backend`` directory, including the ``main_api.py``, ``sql_alchemy.py``, ``pydantic_classes.py`` files and the Dockerfile for building and uploading the Docker image. Step 2: Generate Terraform Files -------------------------------- Use the Terraform Generator to create the Terraform configuration files for deploying the backend to AWS or GCP. **AWS Configuration File** Create a configuration file named ``config_aws.conf``: .. code-block:: ini region = "us-east-1" access_key = "your_aws_access_key" secret_key = "your_aws_secret_key" **GCP Configuration File** Create a configuration file named ``config_google.conf``: .. code-block:: ini project = "your_gcp_project_id" **Generate Terraform Files** First convert the deployment grammar to B-UML model using the following code: .. code-block:: python from besser.BUML.notations.deployment import buml_deployment_model # Deployment architecture model deployment_model = buml_deployment_model(deployment_textfile="deployment.txt") Then, use the Terraform Generator to create the Terraform configuration files: .. code-block:: python from besser.generators.terraform import TerraformGenerator terraform_generator = TerraformGenerator(deployment_model=deployment_model) terraform_generator.generate() This will create the necessary Terraform files in directories named ``_/``. Step 3: Deploy Infrastructure with Terraform -------------------------------------------- Navigate to the generated directory (e.g., ``aws_cluster2/`` or ``gcp_cluster1/``) and run the setup script to deploy your infrastructure: .. code-block:: bash setup.bat This script will initialize and apply your Terraform configuration, deploying the resources to the specified cloud provider. This example demonstrates the complete workflow for using the Backend Generator and Terraform Generator with the DPP model. It covers defining the deployment model, generating the backend code, creating and uploading Docker images, and deploying the infrastructure using Terraform.