petaly 0.0.6

Python ETL tool

Welcome to Petaly!

Petaly is an open-source ETL (Extract, Transform, Load) tool created by and for data professionals! Our mission is to simplify data movement and transformation across different platforms with a tool that truly understands the needs of the data community.

Designed for seamless data exchange, Petaly supports PostgreSQL, MySQL, and CSV formats, with plans to expand and integrate additional open-source technologies. It makes connecting and transferring data across various systems effortless. Petaly is user-friendly and requires no programming knowledge—data pipelines can be easily configured in YAML format, making the tool ready to use immediately after installation.

Important

This is an Alpha version of the Petaly project!

Getting Started

• Explore the Documentation: [UNDER CONSTRUCTION] Check out our documentation to get started with installation, configuration, and best practices for using Petaly.
• Join the Community: [UNDER CONSTRUCTION] Connect with fellow contributors, share your experiences, and get support in our community channels.
• Contribute: We’re continuously improving Petaly, and your feedback and contributions are invaluable. Check out our Contributing Guide to see how you can get involved.

Tool Features

In the current version Petaly provides extract and load data between following endpoints:

• CSV
• MySQL (tested version 8.0)
• PostgresQL (tested version 16)

Requirements:

• Python 3.10 - 3.12

Tested on

Petaly was tested on:

OS:

• MacOS 14.6
• Ubuntu 22.04.3 LTS

It's possible that the tool will work with other operating systems and other databases and python versions. It just hasn't been tested yet.

Installation

1. Install with pip

$ mkdir petaly
$ cd petaly
$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip3 install petaly

1.a Alternatively, download and install from GitHub

$ git clone https://github.com/petaly-labs/petaly.git
$ cd petaly
$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip3 install -r requirements.txt
$ cd src/

# Installation step completed

2. Init config file and workspace

# Check petaly installation
$ python3 -m petaly --help

# Init petaly config file
$ python -m petaly init -c /YOUR_PATH_TO_PETALY_CONFIG_DIR/petaly.ini

# After the config file is created use it with [-c] argument
$ python -m petaly init -c /YOUR_PATH_TO_PETALY_CONFIG_DIR/petaly.ini

# To skip the [-c] argument, set the environment variable PETALY_CONFIG_DIR
$ export PETALY_CONFIG_DIR=/YOUR_PATH_TO_PETALY_CONFIG_DIR

$ vi petaly.ini
# Edit the petaly.ini file and define three different folders for: pipelines, logs and output
[workspace_config]
pipeline_dir_path= /YOUR_FULL_PATH_FOR_PIPELINES
logs_dir_path= /YOUR_FULL_PATH_FOR_LOGS
output_dir_path= /YOUR_FULL_PATH_FOR_OUTPUT
...

# Init workspace
$ python3 -m petaly init --workspace -c /YOUR_PATH_TO_PETALY_CONFIG_DIR/petaly.ini

3. Init a pipeline

# Run the following command and follow the wizard steps to initialize a pipeline my_pipeline
# No changes will be made to the target endpoint at this point.
$ python3 -m petaly init -p my_pipeline

4. Run the pipeline

# Now you can run the pipeline my_pipeline and load data from the specified source. 
# Note that it will make changes, re/create tables in the target endpoint (database or folders)
$ python3 -m petaly run -p my_pipeline

To learn more about pipeline configuration parameters, use the following tutorial - Pipeline Explained