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
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
andtox
) must be installed to support this application
- alternatively, all optional dependencies (except
docker-compose
- Docker Desktop for
macOS
andWindows
provide the Docker Compose CLI; this may be used instead
- Docker Desktop for
- (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
- this provides a shortcut to setup/update the project's dev environment; an
alternative is to just run the following:
- (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 multiplepython
interpreter versions; it works best withpyenv
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:
- Download
docker-compose.yml
andbase.env
- Rename
base.env
⇨.env
- Launch the app by calling
docker-compose up
- Navigate to localhost:8000 to use the app
After selecting a development strategy and installing necessary dependencies, see the following steps for completing the environment setup.
To start the minimal production containers locally, you can use docker-compose
.
- Clone this repo
. ./.envrc
to set environment variablesdocker-compose pull
to pull the required Docker imagesexport CANARY_CORE_CMD='django-admin runserver'
in order to run the development server (by default, the API container runssleep infinity
)- To create the shortcut
dev-compose
, runeval "$(CANARY_ALIASES)"
- this is just an alias for
docker-compose -f docker-compose.yml -f compose/dev.yml
- this is just an alias for
- 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).
To perform the environment setup:
- Clone this repo
direnv allow
to allowdirenv
to automatically execute .envrc- Run
./api/docker-entrypoint.sh
to start the development server - 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
- integrate authorization class / model for restricting property data access to property owners + staff
- split
pre-commit
QA jobs intomypy
,flake8
,black
, andprettier
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
The following was generated by GitLab and is retained as a reference.
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!
- 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
- Invite team members and collaborators
- Create a new merge request
- Automatically close issues from merge requests
- Automatically merge when pipeline succeeds
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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