datadrop-cli-extralsc 0.1.2

CLI tool for uploading and sharing files via datadrop.sh - like a pastebin for files

Datadrop CLI

A simple command-line tool to upload and share files via datadrop.sh - like a pastebin for files.

Installation

Recommended: pipx (Globally Available CLI)

# Install with pipx
pipx install datadrop-cli-extralsc

# Now use anywhere, anytime - no environment activation needed!
datadrop file.txt
datadrop -a photo1.jpg photo2.jpg

Why pipx?

• ✅ datadrop command available globally in any directory
• ✅ No need to activate virtual environments
• ✅ Works in .bashrc, .zshrc, scripts, anywhere
• ✅ Isolated from system Python (safe)
• ✅ Easy to manage: pipx uninstall datadrop-cli

Don't have pipx? Install it first:

# Debian/Ubuntu
sudo apt install pipx
pipx ensurepath

# macOS
brew install pipx
pipx ensurepath

# Or with pip
pip install --user pipx
pipx ensurepath

Alternative: pip with --user

# Install to ~/.local/bin (globally available)
pip install --user datadrop-cli-extralsc

# Command is now available globally
datadrop file.txt

From GitHub

# Install latest from GitHub (globally available with pipx)
pipx install git+https://github.com/extralsc/datadrop-cli.git

From source (Development)

# Clone and install in development mode
git clone https://github.com/extralsc/datadrop-cli.git
cd datadrop-cli
pip install -e .

# Or with pipx for global access
pipx install -e .

Usage

The CLI is super simple - just pass what you want to share:

Upload a file

datadrop file.txt
datadrop screenshot.png
datadrop document.pdf

Upload multiple files/folders

datadrop file1.txt file2.txt file3.txt
datadrop file.txt folder/ screenshot.png
datadrop folder1/ folder2/ folder3/

All uploads happen separately and you get a summary with all URLs.

Upload files as an album

datadrop -a file1.txt file2.txt file3.txt
datadrop --album *.jpg
datadrop -a image1.png image2.png document.pdf

Album mode uploads all files together in one album with a file explorer UI. Perfect for sharing multiple related files!

Upload a folder (automatically zips)

datadrop myfolder/
datadrop ./my-project/

The folder will be automatically zipped before uploading.

Create a text paste

# Direct text
datadrop "Hello World"
datadrop "Quick note to share"

# From stdin (pipe)
echo "test content" | datadrop
cat myfile.txt | datadrop
pbpaste | datadrop  # macOS clipboard
xclip -o | datadrop  # Linux clipboard

Custom filename

datadrop myfile.txt --name "custom-name"
datadrop myfolder/ --name "project-backup"
datadrop "content" --name "my-note.txt"

Examples

# Upload a single file
datadrop screenshot.png

# Upload multiple files at once
datadrop file1.txt file2.txt file3.txt

# Upload files as an album (file explorer UI)
datadrop -a photo1.jpg photo2.jpg photo3.jpg

# Upload text notes as album
datadrop -a "First note" "Second note"

# Mix files and text in album
datadrop -a config.json "Documentation" data.zip

# Upload folders as album (auto-zipped)
datadrop -a src/ dist/

# Mix everything: files, folders, and text
datadrop -a file.txt "Notes" folder/ image.png

# Upload mix of files and folders
datadrop README.md src/ dist/

# Upload an entire project folder (zipped)
datadrop ./my-project

# Quick paste from command output
ls -la | datadrop

# Upload with custom name (single file only)
datadrop report.pdf --name "Q4-Report"

# Share clipboard content (macOS)
pbpaste | datadrop

# Share clipboard content (Linux with xclip)
xclip -o | datadrop

Features

• Album uploads: Upload multiple files as an album with file explorer UI (-a or --album)
• Multiple uploads: Upload multiple files and folders in one command
• Smart detection: Automatically detects files, folders, or text
• Folder zipping: Folders are automatically zipped before upload
• Stdin support: Pipe any content directly to datadrop
• Custom naming: Optional custom names for single uploads
• Colored output: Beautiful terminal feedback
• Simple syntax: Just datadrop <what-you-want-to-share>

Commands

datadrop <input> [input2...]      # Upload file(s)/folder(s) or create paste
datadrop -a <file1> <file2> ...   # Upload multiple files as an album
datadrop --album <files...>       # Upload multiple files as an album (long form)
datadrop --name "name"            # Upload with custom name (single file only)
datadrop --version                # Show version
datadrop --help                   # Show help

How it works

1. Album mode (-a or --album) → Upload all files as one album with file explorer UI
2. Multiple arguments → Upload each file/folder separately and show summary
3. File path exists as file → Upload the file
4. File path exists as folder → Zip it and upload
5. Single argument, not a path → Create text paste
6. No argument but stdin has data → Create text paste from stdin

Album Feature

Albums let you share multiple files together in one shareable link with a file explorer UI.

What you get:

• 📁 File tree explorer in left sidebar
• 👁️ Text file preview (auto-loads and displays)
• ⬇️ Binary file download buttons
• 📊 Album metadata (file count, total size, expiration)
• 🌙 Dark mode support

Usage:

# Upload multiple images as an album
datadrop -a photo1.jpg photo2.jpg photo3.jpg

# Upload text notes as an album
datadrop -a "First note" "Second note" "Third note"

# Mix files and text in album
datadrop -a config.json "Documentation for config" data.zip

# Upload folders as album (auto-zipped)
datadrop -a folder1/ folder2/

# Mix files, folders, and text in album
datadrop -a file.txt "README content" src/ "Notes about src"

Album vs Regular Multiple Upload:

• Album (-a): All items in ONE link with file explorer UI
• Regular: Each item gets its OWN separate link

Requirements:

• Minimum 2 items required for albums
• Supports files, folders (auto-zipped), AND text content
• 10MB total size limit

Backend Integration: Albums send data as multipart/form-data:

• Files: files[]=@filename.ext
• Text: content[]="text" with names[]="name"
• Mixed: Both files and content in same request

Requirements

• Python >= 3.8
• click >= 8.1.7
• requests >= 2.31.0

Development

# Install dependencies
uv sync

# Run locally
python -m datadrop --help

# Test upload
.venv/bin/datadrop test.txt

API

Datadrop CLI uses the datadrop.sh API:

• Endpoint: POST https://datadrop.sh
• No authentication required
• Data valid for 24h before deleted

Development

Building the Package

# Install build tools
pip install build

# Build the package
python -m build

Publishing to PyPI

# Install twine
pip install twine

# Upload to PyPI (requires PyPI account and API token)
twine upload dist/*

Running Tests

# Install in development mode
pip install -e .

# Run tests (when added)
pytest

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.