Skip to main content

A TUI to recover overwritten or deleted data.

Project description

RecoverPy

Recover overwritten or deleted data.

Release License Downloads Tests


RecoverPy

RecoverPy is a TUI utility written in Python with the help of py_cui.

You can already find plenty of solutions to recover deleted files but it can be a hassle to recover overwritten files. RecoverPy searches through every inodes to find your request.

Demo

Installation

:penguin: The main prerequisite is having a Linux system.

Mandatory: To list and search through your partitions, recoverpy uses grep, dd, and lsblk commands.
Optional: To display real time grep progress, you can install progress tool.

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

Installation from pip: python3 -m pip install recoverpy

Pip should be already installed if you have Python >=3.4. Otherwise, see pip docs for installation.

To update: python3 -m pip install --upgrade recoverpy

Usage

python3 -m recoverpy

You must have root access to use recoverpy.

If you are not logged as root use sudo recoverpy or log in with su - before execution.

First, 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.

Then, type a text to search. You can now start the search.

Note that searching a string in a whole partition may take a while. (see euphemism)

Results will appear in the left-hand box. Select a result to display the corresponding partition block content in the right-hand box.

Once you have found your precious, select Save. 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.

Save path is set in conf.yaml. Default is /tmp/.

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 string you search:

  • 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 a match:

  • Use the option to explore neighboring blocks to make sure you do not miss some part of your file.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recoverpy-1.3.0.tar.gz (25.2 kB view details)

Uploaded Source

Built Distribution

recoverpy-1.3.0-py3-none-any.whl (27.9 kB view details)

Uploaded Python 3

File details

Details for the file recoverpy-1.3.0.tar.gz.

File metadata

  • Download URL: recoverpy-1.3.0.tar.gz
  • Upload date:
  • Size: 25.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for recoverpy-1.3.0.tar.gz
Algorithm Hash digest
SHA256 b35a6a7e4133b523cd5548388299e19048d8ad88bb8bd950b267806c2d001ce2
MD5 52b726857d28ecdbee19a2614253ed26
BLAKE2b-256 0efa6fd014111282a2b5cf4defeee2f81f8c1ac107a380e0782822cb9615362e

See more details on using hashes here.

File details

Details for the file recoverpy-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: recoverpy-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 27.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for recoverpy-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 59ebb8a2ca3a297019c267411ea026272d69412228b0d48e9d7184d626109666
MD5 c52024ef049d9539924cc727dffbac4e
BLAKE2b-256 d10a6a90455a80fbc8b6b811d0089869029ca4e5b90729c77676056639de615e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page