Description
Starting any project from scratch can be a daunting task… But not if you have this ultimate Python project blueprint!
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Write Clean Python Code. Always.
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They vary from L1 to L5 with "L5" being the highest.
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README
Blueprint/Boilerplate For Python Projects
Blog Posts - More Information About This Repo
You can find more information about this project/repository and how to use it in following blog post:
- Ultimate Setup for Your Next Python Project
- Automating Every Aspect of Your Python Project
- Deploy Any Python Project to Kubernetes
- Implementing gRPC server using Python
Quick Start
To use this repository as starter for your project you can run configure_project.sh
script, which sets up all variables and file names. This way you can avoid configuring and renaming things yourself:
./configure_project.sh MODULE="coolproject" REGISTRY="docker.pkg.github.com/martinheinz/repo-name"
Running
Using Python Interpreter
~ $ make run
Using Docker
Development image:
~ $ make build-dev
~ $ docker images --filter "label=name=blueprint"
REPOSITORY TAG IMAGE ID CREATED SIZE
docker.pkg.github.com/martinheinz/python-project-blueprint/blueprint 3492a40-dirty acf8d09acce4 28 seconds ago 967MB
~ $ docker run acf8d09acce4
Hello World...
Production (Distroless) image:
~ $ make build-prod VERSION=0.0.5
~ $ docker images --filter "label=version=0.0.5"
REPOSITORY TAG IMAGE ID CREATED SIZE
docker.pkg.github.com/martinheinz/python-project-blueprint/blueprint 0.0.5 65e6690d9edd 5 seconds ago 86.1MB
~ $ docker run 65e6690d9edd
Hello World...
Testing
Test are ran every time you build dev or prod image. You can also run tests using:
~ $ make test
Pushing to GitHub Package Registry
~ $ docker login docker.pkg.github.com --username MartinHeinz
Password: ...
...
Login Succeeded
~ $ make push VERSION=0.0.5
Cleaning
Clean Pytest and coverage cache/files:
~ $ make clean
Clean Docker images:
~ $ make docker-clean
Kubernetes
Application can be easily deployed on k8s using KinD.
To create cluster and/or view status:
~ $ make cluster
To deploy application to local cluster:
~ $ make deploy-local
To get debugging information of running application:
~ $ make cluster-debug
To get remote shell into application pod:
~ $ make cluster-rsh
To apply/update Kubernetes manifest stored in k8s
directory:
~ $ make manifest-update
Setting Up Sonar Cloud
- Navigate to https://sonarcloud.io/projects
- Click plus in top right corner -> analyze new project
- Setup with other CI tool -> other -> Linux
- Copy
-Dsonar.projectKey=
and-Dsonar.organization=
- These 2 values go to
sonar-project.properties
file
- These 2 values go to
- Click pencil at bottom of
sonar-scanner
command - Generate token and save it
- Go to repo -> Settings tab -> Secrets -> Add a new secret
- name:
SONAR_TOKEN
- value: Previously copied token
- name:
Creating Secret Tokens
Token is needed for example for GitHub Package Registry. To create one:
- Go to Settings tab
- Click Secrets
- Click Add a new secret
- Name: name that will be accessible in GitHub Actions as
secrets.NAME
- Value: value
- Name: name that will be accessible in GitHub Actions as