canary_core

Define the canary_core Django project for interfacing with the HouseCanary API. This project provides a custom Django app for interacting with third-party APIs providing property data: canary_core.hc_api_connector

System Dependencies

Two development strategies are supported by this project: container-based development using Docker, or bare-metal development from a virtual environment. The former requires minimal system dependencies; however, it requires additional IDE configuration steps for PyCharm and VSCode, which are not covered here.

When developing from a virtual environment, the following system dependencies are recommended:

• docker
  • alternatively, all optional dependencies (except direnv and tox) must be installed to support this application
• docker-compose
  • Docker Desktop for macOS and Windows provide the Docker Compose CLI; this may be used instead
• (optional) poetry
  • only required when working from a virtual environment; VSCode can be used to develop directly from inside the project's Docker container
• (optional) direnv
  • this provides a shortcut to setup/update the project's dev environment; an alternative is to just run the following:

    $ . ./.envrc

• (optional) postgresql 14
  • the db image managed by this project may be used instead
• (optional) tox
  • tox is used to run the test suite using multiple python interpreter versions; it works best with pyenv

Production Setup

This project manages Docker images for its API and database layers; accordingly, multiple frameworks can be used to orchestrate the containers.

Demo on a single system:

1. Download docker-compose.yml and base.env
2. Rename base.env ⇨ .env
3. Launch the app by calling docker-compose up
4. Navigate to localhost:8000 to use the app

Development Setup

After selecting a development strategy and installing necessary dependencies, see the following steps for completing the environment setup.

Container-based Development

To start the minimal production containers locally, you can use docker-compose.

1. Clone this repo
2. . ./.envrc to set environment variables
3. docker-compose pull to pull the required Docker images
4. export CANARY_CORE_CMD='django-admin runserver' in order to run the development server (by default, the API container runs sleep infinity)
5. To create the shortcut dev-compose, run eval "$(CANARY_ALIASES)"
   • this is just an alias for docker-compose -f docker-compose.yml -f compose/dev.yml
6. Finally, run dev-compose up -d

The above should start a network of three containers: db (the postgresql database), house_canary (the HouseCanary mock API server), and api (the core API container).

Virtual Environment

To perform the environment setup:

1. Clone this repo
2. direnv allow to allow direnv to automatically execute .envrc
3. Run ./api/docker-entrypoint.sh to start the development server
4. To start the mock HouseCanary API server, run the following:

   $ CANARY_CORE_ROOT_URLCONF=canary_core.hc_api_connector.tests.mock_api django-admin runserver localhost:8080

Next Steps

• integrate authorization class / model for restricting property data access to property owners + staff
• split pre-commit QA jobs into mypy, flake8, black, and prettier for more clarity/better feedback
• add routes for integrating drf-yasg to document the API
• build and publish package to internal registry using a CI job
• add integration tests for the primary application

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Appendix

The following was generated by GitLab and is retained as a reference.

Getting started

To make it easy for you to get started with GitLab, here's a list of recommended next steps.

Already a pro? Just edit this README.md and make it your own. Want to make it easy? Use the template at the bottom!

Add your files

• Create or upload files
• Add files using the command line or push an existing Git repository with the following command:

cd existing_repo
git remote add origin https://gitlab.com/django-canary/core.git
git branch -M main
git push -uf origin main

Integrate with your tools

• Set up project integrations

Collaborate with your team

• Invite team members and collaborators
• Create a new merge request
• Automatically close issues from merge requests
• Automatically merge when pipeline succeeds

Test and Deploy

Use the built-in continuous integration in GitLab.

• Get started with GitLab CI/CD
• Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)
• Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
• Use pull-based deployments for improved Kubernetes management

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Editing this README

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