Super framework for your super app
Project description
๐ค Zrb (Read: Zaruba) : A Super Framework for Your Super App
๐ซฐ Installation | ๐ Documentation | ๐ Getting Started | ๐ Oops, I did it Again | โ FAQ
Zrb is a CLI-based automation tool and low-code platform. Once installed, Zrb will help you automate day-to-day tasks, generate projects and applications, and even deploy your applications to Kubernetes with a few commands.
To use Zrb, you need to be familiar with CLI.
Zrb task definitions are written in Python, and we have a good reason behind the decision.
Zrb as A Task-Automation Tool
At the very core, Zrb is a task automation tool. It helps you to automate some tedious jobs so that you can focus on what matters.
Let's say you want to describe the statistics property of any public CSV. To do this, you need to perform three tasks like the following:
- Install pandas.
- Download the CSV dataset (at the same time).
- Show statistics properties of the CSV dataset using pandas (right after the two first tasks are completed).
๐ผ
Install Pandas โโโโโโ ๐
โโโโบ Show Statistics
Download Datasets โโโ
โฌ๏ธ
To do this, you can create a file named zrb_init.py
and define the tasks as follows:
# File name: zrb_init.py
from zrb import runner, CmdTask, python_task, StrInput
# ๐ผ Define a task named `install-pandas` to install pandas
install_pandas = CmdTask(
name='install-pandas',
cmd='pip install pandas'
)
# โฌ๏ธ Define a task named `download-dataset` to download dataset
download_dataset = CmdTask(
name='download-dataset',
inputs=[
# Define an input named `url` and set it's default value.
# You can access url's input value by using Jinja template: `{{ input.url }}`
StrInput(
name='url',
default='https://raw.githubusercontent.com/state-alchemists/datasets/main/iris.csv'
)
],
cmd='wget -O dataset.csv {{input.url}}'
)
# ๐ Define a task named `show-stat` to show the statistics properties of the dataset
# We use `@python_task` decorator because this task is better written in Python
@python_task(
name='show-stat',
upstreams=[
# Let `download-dataset` and `install-pandas` become `show-stat` upstream:
download_dataset,
install_pandas
]
)
def show_stat(*args, **kwargs):
import pandas as pd
df = pd.read_csv('dataset.csv')
return df.describe()
# Register show_stat, so that the task is accessible from the CLI (i.e., zrb show-stat)
# WARNING: You should register the variable, not the name of the task
runner.register(show_stat)
๐ NOTE: It is possible to define
show_stat
asCmdTask
:# ๐ Define a task named `show-stat` to show the statistics properties of the dataset show_stat = CmdTask( name='show-stat', upstreams=[ # Let `download-dataset` and `install-pandas` become `show-stat` upstream: download_dataset, install_pandas ], cmd='python -c "import pandas as pd; df=pd.read_csv(\'dataset.csv\'); print(df.describe())"' )However, using
@python_task
is more make sense, since it makes your Python code more readable.
Once you do so, you can invoke the task and get the output.
zrb show-stat
Url [https://raw.githubusercontent.com/state-alchemists/datasets/main/iris.csv]:
๐ค โ โท โ 43598 โ 1/3 ๐ฎ zrb project install-pandas โข Run script: pip install pandas
๐ค โ โท โ 43598 โ 1/3 ๐ฎ zrb project install-pandas โข Working directory: /home/gofrendi/playground/my-project
๐ค โ โท โ 43598 โ 1/3 ๐ zrb project download-dataset โข Run script: wget -O dataset.csv https://raw.githubusercontent.com/state-alchemists/datasets/main/iris.csv
๐ค โ โท โ 43598 โ 1/3 ๐ zrb project download-dataset โข Working directory: /home/gofrendi/playground/my-project
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข --2023-11-12 09:45:12-- https://raw.githubusercontent.com/state-alchemists/datasets/main/iris.csv
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.110.133, ...
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข HTTP request sent, awaiting response... 200 OK
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข Length: 4606 (4.5K) [text/plain]
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข Saving to: โdataset.csvโ
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข 0K .... 100% 1.39M=0.003s
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข 2023-11-12 09:45:12 (1.39 MB/s) - โdataset.csvโ saved [4606/4606]
๐ค โณ โท โ 43603 โ 1/3 ๐ zrb project download-dataset โข
๐ค โ โท โ 43601 โ 1/3 ๐ฎ zrb project install-pandas โข Requirement already satisfied: pandas in /home/gofrendi/zrb/.venv/lib/python3.10/site-packages (2.1.3)
๐ค โ โท โ 43601 โ 1/3 ๐ฎ zrb project install-pandas โข Requirement already satisfied: numpy<2,>=1.22.4 in /home/gofrendi/zrb/.venv/lib/python3.10/site-packages (from pandas) (1.26.1)
๐ค โ โท โ 43601 โ 1/3 ๐ฎ zrb project install-pandas โข Requirement already satisfied: python-dateutil>=2.8.2 in /home/gofrendi/zrb/.venv/lib/python3.10/site-packages (from pandas) (2.8.2)
๐ค โ โท โ 43601 โ 1/3 ๐ฎ zrb project install-pandas โข Requirement already satisfied: pytz>=2020.1 in /home/gofrendi/zrb/.venv/lib/python3.10/site-packages (from pandas) (2023.3.post1)
๐ค โ โท โ 43601 โ 1/3 ๐ฎ zrb project install-pandas โข Requirement already satisfied: tzdata>=2022.1 in /home/gofrendi/zrb/.venv/lib/python3.10/site-packages (from pandas) (2023.3)
๐ค โ โท โ 43601 โ 1/3 ๐ฎ zrb project install-pandas โข Requirement already satisfied: six>=1.5 in /home/gofrendi/zrb/.venv/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)
Support zrb growth and development!
โ Donate at: https://stalchmst.com/donation
๐ Submit issues/PR at: https://github.com/state-alchemists/zrb
๐ค Follow us at: https://twitter.com/zarubastalchmst
๐ค โ โท 2023-11-12 09:45:14.366 โ 43598 โ 1/3 ๐ zrb project show-stats โข Completed in 2.2365798950195312 seconds
sepal_length sepal_width petal_length petal_width
count 150.000000 150.000000 150.000000 150.000000
mean 5.843333 3.054000 3.758667 1.198667
std 0.828066 0.433594 1.764420 0.763161
min 4.300000 2.000000 1.000000 0.100000
25% 5.100000 2.800000 1.600000 0.300000
50% 5.800000 3.000000 4.350000 1.300000
75% 6.400000 3.300000 5.100000 1.800000
max 7.900000 4.400000 6.900000 2.500000
To run again: zrb project show-stats --url "https://raw.githubusercontent.com/state-alchemists/datasets/main/iris.csv"
๐ NOTE: When executing a task, you can also provide the parameter directly, for example you want to provide the
url
zrb show-stat --url https://raw.githubusercontent.com/state-alchemists/datasets/main/iris.csvWhen you provide the parameter directly, Zrb will not prompt you to supply the URL. Another way to disable the prompt is by set
ZRB_SHOW_PROMPT
to0
orfalse
.
You can also run a Docker compose file, start a Web server, generate a CRUD application, or set up multiple servers simultaneously.
See our getting started guide to learn more about the details.
Zrb as A Low-Code Framework
Aside from defining your own tasks, Zrb also has some built-in tasks. Those built-in tasks allow you to build and run a CRUD application.
Let's see the following example.
# Create a project
zrb project create --project-dir my-project --project-name "My Project"
cd my-project
# Create a Fastapp
zrb project add fastapp --project-dir . --app-name "fastapp" --http-port 3000
# Add library module to fastapp
zrb project add fastapp-module --project-dir . --app-name "fastapp" --module-name "library"
# Add entity named "books"
zrb project add fastapp-crud --project-dir . --app-name "fastapp" --module-name "library" \
--entity-name "book" --plural-entity-name "books" --column-name "code"
# Add column to the entity
zrb project add fastapp-field --project-dir . --app-name "fastapp" --module-name "library" \
--entity-name "book" --column-name "title" --column-type "str"
# Run Fastapp as monolith
zrb project start-fastapp --fastapp-run-mode "monolith"
Once you invoke the commands, you will be able to access the CRUD application by pointing your browser to http://localhost:3000
Furthermore, you also split your application into microservices
, run them as docker containers
, and even deploy them to your kubernetes cluster
.
# Run Fastapp as microservices
zrb project start-fastapp --fastapp-run-mode "microservices"
# Run Fastapp as container
zrb project start-fastapp-container --fastapp-run-mode "microservices"
zrb project stop-fastapp-container
# Deploy fastapp and all it's dependencies to kubernetes
docker login
zrb project deploy-fastapp --fastapp-deploy-mode "microservices"
You can visit our tutorials to see more cool tricks.
๐ซฐ Installation
๐ Using Installation Script
We provide an installation script to help you install pyenv
and Zrb
. You can run the installation script as follows:
curl https://raw.githubusercontent.com/state-alchemists/zrb/main/install.sh | bash
โ๏ธ As Python Package
Installing Zrb in your system is as easy as typing the following command in your terminal:
pip install zrb
Like any Python package, you can install Zrb in your virtual environment. Installing Zrb in a virtual environment allows you to have many versions of Zrb on the same computer.
โ ๏ธ If the command doesn't work, you probably don't have Pip/Python on your computer. See
Main prerequisites
subsection to install them.
๐ As Docker Container
If you prefer to work with Docker, you can create a docker-compose.yml
file as follows:
version: '3'
x-logging: &default-logging
options:
max-size: "100m"
max-file: "5"
driver: json-file
networks:
zrb:
name: zrb
external: true
services:
zrb:
build:
dockerfile: Dockerfile
context: .
args:
ZRB_VERSION: ${ZRB_VERSION:-latest}
image: ${ZRB_IMAGE:-docker.io/stalchmst/zrb}
logging: *default-logging
container_name: zrb
hostname: zrb
command: sleep infinity
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- ./project:/project
ports:
- 3001:3001 # or/and any other ports you want to expose.
networks:
- zrb
Once you create a docker-compose file, you can invoke the following command to start the container:
docker compose up -d
You will be able to run any Zrb tasks by accessing the container's bash:
docker exec -it zrb bash
โ Main Prerequisites
Since Zrb is written in Python, you need to install a few things before installing Zrb:
- ๐
Python
- ๐ฆ
Pip
- ๐๏ธ
Venv
If you are using ๐ง Ubuntu, the following command should work:
sudo apt install python3 python3-pip python3-venv python-is-python3
If you are using ๐ Mac, the following command will work:
# Make sure you have homebrew installed, see: https://brew.sh/
brew install python3
ln -s venv/bin/pip3 /usr/local/bin/pip
ln -s venv/bin/python3 /usr/local/bin/python
If you prefer Python distribution like conda, that might work as well.
โ๏ธ Other Prerequisites
If you want to generate applications using Zrb and run them on your computer, you will also need:
- ๐ธ
Node.Js
andNpm
.- You need Node.Js to modify/transpile frontend code into static files.
- You can visit the Node.Js website for installation instructions.
- ๐
Docker
andDocker-compose
plugin.- You need
Docker
andDocker-compose
plugin to- Run docker-compose-based tasks
- Run some application prerequisites like RabbitMQ, Postgre, or Redpanda.
- The easiest way to install
Docker
,Docker-compose
plugin, and localKubernetes
is by using Docker Desktop. - You can also install
Docker
andDocker-compose
plugin by following the Docker installation guide.
- You need
- โธ๏ธ
Kubernetes
cluster.- Zrb allows you to deploy your applications into
Kubernetes
. - To test it locally, you will need a Minikube or other alternatives. However, the easiest way is by enabling
Kubernetes
on yourDocker Desktop
.
- Zrb allows you to deploy your applications into
- ๐ฆ
Pulumi
- You need Pulumi to deploy your applications
๐ Getting Started
We have an excellent getting started guide to help you cover the basics. Make sure to check it out๐.
๐ Documentation
You can visit Zrb documentation for more detailed information.
โ Donation
Help Red Skull to click the donation button:
๐ Fun Fact
Madou Ring Zaruba (้ญๅฐ่ผชใถใซใ, Madลrin Zaruba) is a Madougu which supports bearers of the Garo Armor. (Garo Wiki | Fandom)
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