petaly 0.0.3.post1

Python ETL tool

🌸 Welcome to Petaly!

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

Why Petaly?

Petaly is designed for seamless data exchange, starting with support for PostgreSQL, MySQL, and CSV formats. Our goal is to expand and integrate additional open-source technologies, making it easier to connect and transfer data across various systems effortlessly. Petaly is user-friendly and does not require any programming knowledge; you can set up data pipelines simply by configuring them in YAML format, making it ready to use right 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:

Petaly was developed on:

• Python 3.11
• Python 3.10 also supported

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/petaly.ini

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

# Init workspace
$ python3 -m petaly init --workspace

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