Create pinned requirements.txt inside a Docker image using pip-tools

Overview

Pin your Python dependencies!

pin-requirements.py is a script that lets you pin your Python dependencies inside a Docker container.

  • Pinning your dependencies is great because it gives you reproducible builds. See below for more motivation.
  • pip installs different dependencies depending on the version of Python, and which operating system you're using. So if you're deploying on Linux, doing the pinning inside Docker means you get consistent, correct pinning.

pin-requirements.py is a script based on pip-tools that takes the high-level requirements from requirements.in and transitively pins them to output file requirements.txt:

Just create a requirements.in listing your top-level dependencies:

flask>1.0

And then run:

$ pin-requirements.py --image python:3.9-slim

You will now have a requirements.txt file that looks a little like this:

# ...
click==8.0.3 \
    --hash=sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3 \
    --hash=sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b
    # via flask
flask==2.0.2 \
    --hash=sha256:7b2fb8e934ddd50731893bdcdb00fc8c0315916f9fcd50d22c7cc1a95ab634e2 \
    --hash=sha256:cb90f62f1d8e4dc4621f52106613488b5ba826b2e1e10a33eac92f723093ab6a
    # via -r /input/requirements.in
# ...

(Choose the matching Docker image for whatever Python version you actually use in production.)

All requirements will be updated to their latest version whenever the script is run.

Check-in both requirements.in and requirements.txt into version control, install your application dependencies using the latter, and update your dependencies by re-running this command.

To learn more about what the tool is doing, see the underlying pip-tools documentation.

This tool is sponsored by the Python on Docker Production Handbook, your complete reference for packaging Python applications for Docker in production.

Motivation

Note that everything I'm discussing here is focused on applications; libraries are a whole different story.

On the one hand, you want your builds to be reproducible: whenever you package or install your software, it should install the same dependencies. Pinning your dependencies to specific versions is how you do this, and you want to pin all dependencies, including dependencies-of-dependencies.

On the other hand, you need to update your dependencies... and a fully pinned set of dependencies is a pain in the ass to update, since it is overly constrained.

Thus, every application really requires two different sets of dependency description files:

  1. The logical, direct dependencies. For example, "this needs at least Flask 1.0 to run".
  2. The complete set of dependencies, including transitive dependencies, pinned to particular versions. Transitive means dependencies-of-dependencies, and pinning means particular versions. For example, this might be "Flask==1.0.3, itsdangerous==1.1.0, werkzeug==0.15.4, click==7.0, jinja2==2.10.1, markupsafe==1.1.1".

The first set of dependencies can be used to easily update the second set of dependencies when you want to upgrade (e.g. to get security updates).

The second set of dependencies is what you should use to build the application, in order to get reproducible builds: that is, to ensure each build will have the exact same dependencies installed as the previous build.

This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).

Deploying ML models with CPU based TFServing, Docker, and Kubernetes By: Chansung Park and Sayak Paul This project shows how to serve a TensorFlow ima

Chansung Park 104 Dec 28, 2022
A job launching library for docker, EC2, GCP, etc.

doodad A library for packaging dependencies and launching scripts (with a focus on python) on different platforms using Docker. Currently supported pl

Justin Fu 55 Aug 27, 2022
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.

Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.

Ning 1 Jan 01, 2022
MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge.

MicroK8s The smallest, fastest Kubernetes Single-package fully conformant lightweight Kubernetes that works on 42 flavours of Linux. Perfect for: Deve

Ubuntu 7.1k Jan 08, 2023
ServerStatus 云探针、多服务器探针、云监控、多服务器云监控

ServerStatus 云探针、多服务器探针、云监控、多服务器云监控 基于ServerStatus-Hotaru膜改版的套娃膜改版(实际上本README也是抄它的)。 主要将client改为通过http提交数据,以及将服务端换成了php以便减小部署成本(PHP is the best!) 默认图片

shirakun 16 Apr 14, 2022
Emissary - open source Kubernetes-native API gateway for microservices built on the Envoy Proxy

Emissary-ingress Emissary-Ingress is an open-source Kubernetes-native API Gateway + Layer 7 load balancer + Kubernetes Ingress built on Envoy Proxy. E

Emissary Ingress 4k Dec 31, 2022
A Kubernetes operator that creates UptimeRobot monitors for your ingresses

This operator automatically creates uptime monitors at UptimeRobot for your Kubernetes Ingress resources. This allows you to easily integrate uptime monitoring of your services into your Kubernetes d

Max 49 Dec 14, 2022
Official Python client library for kubernetes

Kubernetes Python Client Python client for the kubernetes API. Installation From source: git clone --recursive https://github.com/kubernetes-client/py

Kubernetes Clients 5.4k Jan 02, 2023
Ansible Collection: A collection of Ansible Modules and Lookup Plugins (MLP) from Linuxfabrik.

ansible_mlp An Ansible collection of Ansible Modules and Lookup Plugins (MLP) from Linuxfabrik. Ansible Bitwarden Item Lookup Plugin Returns a passwor

Linuxfabrik 2 Feb 07, 2022
Chartreuse: Automated Alembic migrations within kubernetes

Chartreuse: Automated Alembic SQL schema migrations within kubernetes "How to automate management of Alembic database schema migration at scale using

Wiremind 8 Oct 25, 2022
A lobby boy will create a VPS server when you need one, and destroy it after using it.

Lobbyboy What is a lobby boy? A lobby boy is completely invisible, yet always in sight. A lobby boy remembers what people hate. A lobby boy anticipate

226 Dec 29, 2022
Learning and experimenting with Kubernetes

Kubernetes Experiments This repository contains code that I'm using to learn and experiment with Kubernetes. 1. Environment setup minikube kubectl doc

Richard To 10 Dec 02, 2022
A colony of interacting processes

NColony Infrastructure for running "colonies" of processes. Hacking $ tox Should DTRT -- if it passes, it means unit tests are passing, and 100% cover

23 Apr 04, 2022
A honey token manager and alert system for AWS.

SpaceSiren SpaceSiren is a honey token manager and alert system for AWS. With this fully serverless application, you can create and manage honey token

287 Nov 09, 2022
Dockerized service to backup all running database containers

Docker Database Backup Dockerized service to automatically backup all of your database containers. Docker Image Tags: docker.io/jandi/database-backup

Jan Dittrich 16 Dec 31, 2022
Run your clouds in RAID.

UniKlaud Run your clouds in RAID Table of Contents About The Project Built With Getting Started Installation Usage Roadmap Contributing License Contac

3 Jan 16, 2022
Quick & dirty controller to schedule Kubernetes Jobs later (once)

K8s Jobber Operator Quickly implemented Kubernetes controller to enable scheduling of Jobs at a later time. Usage: To schedule a Job later, Set .spec.

Jukka Väisänen 2 Feb 11, 2022
A collection of beginner-friendly DevOps content

mansion Mansion is just a testing repo for learners to commit into open source project. These are the steps you need to learn: Please do not edit thes

Bryan Lim 62 Nov 30, 2022
Let's learn how to build, release and operate your containerized applications to Amazon ECS and AWS Fargate using AWS Copilot.

🚀 Welcome to AWS Copilot Workshop In this workshop, you'll learn how to build, release and operate your containerised applications to Amazon ECS and

Donnie Prakoso 15 Jul 14, 2022