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A modern Python command-line tool for listing directory contents with advanced filtering and metadata support

Project description

trxd

A modern Python command-line tool for listing directory contents with advanced filtering and metadata support. Similar to tree but with more features and better performance.

Features

  • Multiple output formats: Tree (with emojis), ASCII tree, flat list, JSON, YAML, and CSV
  • Advanced filtering: Exclude files and directories using glob patterns
  • Metadata support: File sizes, modification dates, and directory statistics
  • Memory efficient: Uses generators for large directory structures
  • Cross-platform: Works on Windows, macOS, and Linux
  • Modern Python: Built with pathlib and type hints

Installation

Using pip

pip install trxd

From source

git clone https://github.com/alexmarco/trxd.git
cd trxd
pip install -e .

Using uv (recommended)

uv add trxd

Usage

Basic usage

# List current directory in tree format
trxd

# List specific directory
trxd /path/to/directory

# List with emoji icons (default)
trxd --format tree

# List with ASCII characters (no emojis)
trxd --format tree --no-emoji

# List with ASCII format (same as --no-emoji)
trxd --format ascii

Output formats

# Tree format with emojis (default)
trxd --format tree

# Tree format with ASCII characters
trxd --format ascii

# Flat list format
trxd --format flat

# JSON format
trxd --format json

# YAML format
trxd --format yaml

# CSV format
trxd --format csv

Filtering options

# Exclude files and directories
trxd --exclude "*.pyc" --exclude "__pycache__"

# Exclude only directories
trxd --exclude-dir "node_modules" --exclude-dir ".git"

# Exclude only files
trxd --exclude-file "*.log" --exclude-file "*.tmp"

# Multiple exclusions
trxd -x "*.pyc" -x "*.pyo" -xd "__pycache__" -xd ".git"

Metadata support

# Show file sizes and modification dates
trxd --show-metadata

# Combine with different formats
trxd --format flat --show-metadata
trxd --format json --show-metadata

Examples

Basic directory listing

$ trxd src/
๐Ÿ“ src/
โ”œโ”€โ”€ ๐Ÿ“ components/
โ”‚   โ”œโ”€โ”€ ๐Ÿ Button.py
โ”‚   โ””โ”€โ”€ ๐Ÿ Header.py
โ”œโ”€โ”€ ๐Ÿ“ utils/
โ”‚   โ””โ”€โ”€ ๐Ÿ helpers.py
โ””โ”€โ”€ ๐Ÿ main.py

Tree format without emojis

$ trxd --format tree --no-emoji src/
[d] src/
โ”œโ”€โ”€ [d] components/
โ”‚   โ”œโ”€โ”€ [f] Button.py
โ”‚   โ””โ”€โ”€ [f] Header.py
โ”œโ”€โ”€ [d] utils/
โ”‚   โ””โ”€โ”€ [f] helpers.py
โ””โ”€โ”€ [f] main.py

ASCII tree format

$ trxd --format ascii src/
[d] src/
โ”œโ”€โ”€ [d] components/
โ”‚   โ”œโ”€โ”€ [f] Button.py
โ”‚   โ””โ”€โ”€ [f] Header.py
โ”œโ”€โ”€ [d] utils/
โ”‚   โ””โ”€โ”€ [f] helpers.py
โ””โ”€โ”€ [f] main.py

Tree format with metadata

$ trxd --format tree --show-metadata src/
๐Ÿ“ src/ [4 files, 2.1 KB]
โ”œโ”€โ”€ ๐Ÿ“ components/ [2 files, 922 B]
โ”‚   โ”œโ”€โ”€ ๐Ÿ Button.py [450 B, 2024-01-15 14:25]
โ”‚   โ””โ”€โ”€ ๐Ÿ Header.py [472 B, 2024-01-15 14:20]
โ”œโ”€โ”€ ๐Ÿ“ utils/ [1 file, 800 B]
โ”‚   โ””โ”€โ”€ ๐Ÿ helpers.py [800 B, 2024-01-15 14:15]
โ””โ”€โ”€ ๐Ÿ main.py [1.2 KB, 2024-01-15 14:30]

Mixed file types with emojis

$ trxd project/
๐Ÿ“ project/
โ”œโ”€โ”€ ๐Ÿ“ src/
โ”‚   โ”œโ”€โ”€ ๐Ÿ main.py
โ”‚   โ”œโ”€โ”€ ๐ŸŒ index.html
โ”‚   โ”œโ”€โ”€ ๐ŸŽจ styles.css
โ”‚   โ””โ”€โ”€ ๐Ÿ“œ app.js
โ”œโ”€โ”€ ๐Ÿ“ docs/
โ”‚   โ”œโ”€โ”€ ๐Ÿ“ README.md
โ”‚   โ””โ”€โ”€ ๐Ÿ“„ manual.pdf
โ”œโ”€โ”€ ๐Ÿ“‹ config.json
โ”œโ”€โ”€ ๐Ÿ” .env
โ””โ”€โ”€ ๐Ÿณ Dockerfile

Flat format (simple)

$ trxd --format flat src/
src
src/main.py
src/components
src/components/Button.py
src/components/Header.py
src/utils
src/utils/helpers.py

Flat format with metadata

$ trxd --format flat --show-metadata src/
src [4 files, 2.1 KB]
src/main.py [1.2 KB, 2024-01-15 14:30]
src/components [2 files, 922 B]
src/components/Button.py [450 B, 2024-01-15 14:25]
src/components/Header.py [472 B, 2024-01-15 14:20]
src/utils [1 file, 800 B]
src/utils/helpers.py [800 B, 2024-01-15 14:15]

JSON output (simple)

$ trxd --format json src/
{
  "src": {
    "main.py": null,
    "components": {
      "Button.py": null,
      "Header.py": null
    },
    "utils": {
      "helpers.py": null
    }
  }
}

JSON output with metadata

$ trxd --format json --show-metadata
{
  "_metadata": {
    "file_count": 4,
    "total_size": 2156,
    "modified": "2024-01-15T14:30:00"
  },
  "src": {
    "type": "directory",
    "file_count": 4,
    "total_size": 2156,
    "modified": "2024-01-15T14:30:00",
    "contents": {
      "main.py": {
        "type": "file",
        "size": 1234,
        "modified": "2024-01-15T14:30:00"
      },
      "components": {
        "type": "directory",
        "file_count": 2,
        "total_size": 922,
        "modified": "2024-01-15T14:25:00",
        "contents": {
          "Button.py": {
            "type": "file",
            "size": 450,
            "modified": "2024-01-15T14:25:00"
          },
          "Header.py": {
            "type": "file",
            "size": 472,
            "modified": "2024-01-15T14:20:00"
          }
        }
      },
      "utils": {
        "type": "directory",
        "file_count": 1,
        "total_size": 800,
        "modified": "2024-01-15T14:15:00",
        "contents": {
          "helpers.py": {
            "type": "file",
            "size": 800,
            "modified": "2024-01-15T14:15:00"
          }
        }
      }
    }
  }
}

YAML output (simple)

$ trxd --format yaml src/
src:
  main.py: null
  components:
    Button.py: null
    Header.py: null
  utils:
    helpers.py: null

YAML output with metadata

$ trxd --format yaml --show-metadata src/
_metadata:
  file_count: 4
  total_size: 2156
  modified: '2024-01-15T14:30:00'
src:
  type: directory
  file_count: 4
  total_size: 2156
  modified: '2024-01-15T14:30:00'
  contents:
    main.py:
      type: file
      size: 1234
      modified: '2024-01-15T14:30:00'
    components:
      type: directory
      file_count: 2
      total_size: 922
      modified: '2024-01-15T14:25:00'
      contents:
        Button.py:
          type: file
          size: 450
          modified: '2024-01-15T14:25:00'
        Header.py:
          type: file
          size: 472
          modified: '2024-01-15T14:20:00'
    utils:
      type: directory
      file_count: 1
      total_size: 800
      modified: '2024-01-15T14:15:00'
      contents:
        helpers.py:
          type: file
          size: 800
          modified: '2024-01-15T14:15:00'

CSV format

The CSV format provides a structured, tabular output that's perfect for data analysis and processing:

$ trxd --format csv src/
type,path,name,extension
directory,src,src,
file,src/main.py,main.py,py
directory,src/components,components,
file,src/components/Button.py,Button.py,py
file,src/components/Header.py,Header.py,py
directory,src/utils,utils,
file,src/utils/helpers.py,helpers.py,py

CSV format with metadata

When using --show-metadata with CSV format, additional columns are included:

$ trxd --format csv --show-metadata src/
type,path,name,extension,size,modified,file_count,total_size
directory,src,src,,0,2024-01-15 14:30:00,4,2156
file,src/main.py,main.py,py,1234,2024-01-15 14:30:00,,
directory,src/components,components,,0,2024-01-15 14:25:00,2,922
file,src/components/Button.py,Button.py,py,450,2024-01-15 14:25:00,,
file,src/components/Header.py,Header.py,py,472,2024-01-15 14:20:00,,
directory,src/utils,utils,,0,2024-01-15 14:15:00,1,800
file,src/utils/helpers.py,helpers.py,py,800,2024-01-15 14:15:00,,

CSV Columns:

  • type: "directory" or "file"
  • path: Relative path from the starting directory
  • name: File or directory name
  • extension: File extension (empty for directories)
  • size: File size in bytes (only with --show-metadata)
  • modified: Last modification date (only with --show-metadata)
  • file_count: Number of files in directory (only with --show-metadata)
  • total_size: Total size of all files in directory (only with --show-metadata)

ASCII format with metadata

$ trxd --format ascii --show-metadata src/
[d] src/ [4 files, 2.1 KB]
โ”œโ”€โ”€ [d] components/ [2 files, 922 B]
โ”‚   โ”œโ”€โ”€ [f] Button.py [450 B, 2024-01-15 14:25]
โ”‚   โ””โ”€โ”€ [f] Header.py [472 B, 2024-01-15 14:20]
โ”œโ”€โ”€ [d] utils/ [1 file, 800 B]
โ”‚   โ””โ”€โ”€ [f] helpers.py [800 B, 2024-01-15 14:15]
โ””โ”€โ”€ [f] main.py [1.2 KB, 2024-01-15 14:30]

Filtering examples

# Exclude Python cache files
$ trxd --exclude "*.pyc" --exclude "__pycache__"

# Exclude common build directories
$ trxd --exclude-dir "node_modules" --exclude-dir ".git" --exclude-dir "dist"

# Show only source files
$ trxd --exclude-file "*.log" --exclude-file "*.tmp" --show-metadata

# Complex filtering example
$ trxd --exclude-dir "node_modules" --exclude-dir ".git" --exclude "*.pyc" --exclude "*.pyo" --show-metadata

Real-world usage examples

# List a Python project structure
$ trxd --exclude-dir "__pycache__" --exclude-dir ".git" --exclude "*.pyc" --format tree

# Get directory size information
$ trxd --show-metadata --format flat | grep "\[.*files"

# Export project structure for documentation
$ trxd --format yaml --exclude-dir ".git" --exclude-dir "node_modules" > project-structure.yaml

# Generate JSON for API consumption
$ trxd --format json --show-metadata --exclude-dir ".git" > directory-info.json

# Quick file listing without directories
$ trxd --format flat --exclude-dir "*" src/

Integration examples

# Use with other tools
$ trxd --format flat | grep "\.py$" | wc -l  # Count Python files
$ trxd --show-metadata --format json | jq '.src.contents | keys'  # Get directory contents with jq

# CSV data analysis
$ trxd --format csv --show-metadata | awk -F',' '$1=="file" {sum+=$5} END {print "Total file size:", sum}'  # Sum file sizes
$ trxd --format csv | grep "\.py$" | wc -l  # Count Python files using CSV
$ trxd --format csv --show-metadata | grep "directory" | awk -F',' '{print $3, $7}'  # Show directory file counts

# Generate reports
$ trxd --show-metadata --format json | jq '[.src.contents | to_entries[] | select(.value.type == "file") | {name: .key, size: .value.size}]'
$ trxd --format csv --show-metadata > directory-analysis.csv  # Export to CSV for Excel/analysis

Command-line options

positional arguments:
  path                  Directory path to list (default: current directory)

options:
  -h, --help            Show help message and exit
  --format {tree,ascii,json,yaml,flat}
                        Output format (default: tree)
  -x, --exclude EXCLUDE
                        Pattern to exclude (files and directories)
  -xd, --exclude-dir EXCLUDE_DIR
                        Pattern to exclude (directories only)
  -xf, --exclude-file EXCLUDE_FILE
                        Pattern to exclude (files only)
  -m, --show-metadata   Show metadata (size, modification date)
  --no-emoji           Disable emojis in tree format (use ASCII characters)

Performance

  • Memory efficient: Uses generators to process large directory structures without loading everything into memory
  • Fast filtering: Uses pathlib's efficient pattern matching
  • Lazy evaluation: Metadata is only collected when requested

Requirements

  • Python 3.8+
  • PyYAML (for YAML output)

Development

Setup development environment

git clone https://github.com/alexmarco/trxd.git
cd trxd
uv sync --dev

Run tests

uv run pytest

Run linting

uv run ruff check .
uv run ruff format .

License

MIT License - see LICENSE file for details.

Contributing

We welcome contributions! Please see our Contributing Guide for detailed information on how to contribute to trxd.

Quick Start

  1. Fork the repository
  2. Clone your fork locally
  3. Create a feature branch (git checkout -b feat/amazing-feature)
  4. Make your changes following our coding standards
  5. Test your changes (uv run pytest)
  6. Commit using Conventional Commits
  7. Push to your branch (git push origin feat/amazing-feature)
  8. Open a Pull Request

Types of Contributions

  • ๐Ÿ› Bug fixes and issue reports
  • ๐Ÿš€ New features and enhancements
  • ๐Ÿ“š Documentation improvements
  • ๐Ÿงช Tests and quality improvements
  • ๐ŸŽจ UI/UX enhancements

For more details, examples, and our automated workflow, see CONTRIBUTING.md.

Changelog

v1.0.0

  • Initial release
  • Basic tree listing functionality
  • Multiple output formats (tree, ascii, flat, json, yaml)
  • Advanced filtering options
  • Metadata support (file sizes, modification dates)
  • Memory-efficient generator-based processing

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