<div align="center">
<img src="docs/assets/logo.png" alt="RecoverPy">
</div>
<p align="center">
<em>Recover overwritten or deleted data.</em>
</p>
<p align="center">
<a href="https://img.shields.io/github/v/release/pablolec/recoverpy" target="_blank">
<img src="https://img.shields.io/github/v/release/pablolec/recoverpy" alt="Release">
</a>
<a href="https://github.com/PabloLec/recoverpy/blob/main/LICENSE" target="_blank">
<img src="https://img.shields.io/github/license/pablolec/recoverpy" alt="License">
</a>
<a href="https://pepy.tech/project/recoverpy" target="_blank">
<img src="https://static.pepy.tech/personalized-badge/recoverpy?period=total&units=abbreviation&left_color=grey&right_color=red&left_text=downloads" alt="Downloads">
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<a href="#" target="_blank">
<img src="https://github.com/PabloLec/recoverpy/actions/workflows/pytest.yml/badge.svg?branch=main" alt="Tests">
</a>
</p>
---
<!--ts-->
* [Demo](#Demo)
* [Installation](#Installation)
* [Dependencies](#dependencies)
* [Run with pipx](#run-with-pipx)
* [Installation from pip](#installation-from-pip)
* [Installation from AUR](#installation-from-aur)
* [Usage](#Usage)
* [Tips](#Tips)
* [Contributing](#Contributing)
<!--te-->
---
# RecoverPy
RecoverPy is a powerful tool that leverages your system capabilities to recover lost files.
Unlike others, you can not only recover deleted files but also **overwritten** data.
Every block of your partition will be scanned. You can even find a string in binary files.
## Demo
<p align="center">
<img src="docs/assets/demo.gif">
</p>
## Installation
:penguin: RecoverPy is currently only available on Linux systems.
:red_circle: **You must be root or use sudo**.
### Dependencies
**Mandatory:** To list and search through your partitions, recoverpy uses `grep`, `dd`, and `lsblk` commands. Although, if you're running a major Linux distrucition these tools should already be installed.
**Optional:** To display real time grep progress, you can install `progress`.
To install all dependencies:
- Debian-like: `apt install grep coreutils util-linux progress`
- Arch: `pacman -S grep coreutils util-linux progress`
- Fedora: `dnf install grep coreutils util-linux progress`
### Run with pipx
You can **directly run recoverpy with pipx in an isolated environment** without installing it.
To install pipx, follow the [official documentation](https://pipxproject.github.io/pipx/installation/).
To run recoverpy with pipx, simply run:
`sudo pipx run recoverpy`
#### Installation from pip
`python3 -m pip install recoverpy`
#### Installation from AUR
`yay -S python-recoverpy`
## Usage
```bash
python3 -m recoverpy
```
---
- **Select the system partition** in which your file was. If you are out of luck, you can alternatively search in your home partition, maybe your IDE, text editor, etc. made a backup at some point.
- **Type a text string to search**. See tips below for better results.
- **Start search**, Results will appear in the left-hand box.
- **Select a result**.
- Once you have found your precious, **select `Open`**.
- You can now either save this block individually or explore neighboring blocks for the remaining parts of the file. You could then save it all in one file.
## Tips
- Always do backups! Yes, maybe too late...
- **Unmount your partition before you do anything!** Although you can search with your partition still mounted, it is highly recommended to unmount your partition to avoid any alteration to your file.
Regarding the searched string:
- Be concise, find something that could be unique to your file.
- Stay simple, your string is escaped but exotic characters may affect your results.
- Try to remember the last edit you have made to your file.
When you have found your file:
- You might see multiple results. Your system often use different partion blocks to save successive versions of a file. Make sure you've found the last version.
- Try exploring neighboring blocks to be sure to save your whole file.
## Contributing
Thank you for considering contributing to RecoverPy.
Any request, bug report or PR are welcome. Please read the [contributing guide](CONTRIBUTING.md).
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