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Fetch'n'Backup - Simple two-step backup tool with rsync

Project description

fnb โ€” Fetch'n'Backup

PyPI version Python 3.12+ License: MIT Test Coverage

fnb is a simple two-step backup tool, powered by rsync. It gives you two handy commands: fetch (to pull from remote), and backup (to save to somewhere safe).

Under the hood? Just good old rsync โ€” no magic, just sharp automation.

  • Simple config. Sharp execution. Safe data.
  • Use them one by one, or sync them all in one go.

๐Ÿš€ Features

  1. Fetch โ€” Retrieve data from a remote server to your local machine
  2. Backup โ€” Save local data to external storage
  3. Sync โ€” Run Fetch and Backup together in one go
  4. Init โ€” Generate an initial config file (fnb.toml)
  5. Structured Logging โ€” Built-in logging with configurable verbosity levels and file output

โš™๏ธ Installation

From PyPI (Recommended)

pip install fnb
# ใพใŸใฏ
uv pip install fnb

From Source

git clone https://gitlab.com/qumasan/fnb.git
cd fnb
uv pip install -e .

Requirements: Python 3.12 or higher is required.


๐Ÿงฐ Quick Start

# Initialize configuration files (fnb.toml and .env files)
fnb init

# Check the current config
fnb status

# Fetch: remote -> local
fnb fetch TARGET_LABEL

# Backup: local -> external
fnb backup TARGET_LABEL

# Run Fetch โ†’ Backup in one go
fnb sync TARGET_LABEL

# Check version
fnb version

# Logging and Verbosity Control
# Adjust log level for detailed output
fnb fetch TARGET_LABEL --log-level DEBUG
fnb sync TARGET_LABEL --verbose      # Same as --log-level DEBUG
fnb backup TARGET_LABEL --quiet      # Same as --log-level WARNING

# Log files are automatically saved to:
# macOS: ~/Library/Logs/fnb/fnb.log
# Linux: ~/.local/share/fnb/fnb.log

๐Ÿ”ง Configuration

fnb uses TOML configuration files with sections for fetch and backup operations:

[fetch.SECTION_NAME]
label = "TARGET_LABEL"
summary = "Fetch data from remote server"
host = "user@remote-host"
source = "~/path/to/source/"
target = "./local/backup/path/"
options = ["-auvz", "--delete", '--rsync-path="~/.local/bin/rsync"']
enabled = true

[backup.SECTION_NAME]
label = "TARGET_LABEL"
summary = "Backup data to cloud storage"
host = "none"          # Local operation
source = "./local/backup/path/"  # Output from fetch
target = "./cloud/backup/path/"
options = ["-auvz", "--delete"]
enabled = true

Configuration File Priority (highest to lowest)

  1. ./fnb.toml โ€” Project-local configuration
  2. ~/.config/fnb/config.toml โ€” Global user configuration (XDG standard)
  3. C:\Users\username\AppData\Local\fnb\config.toml โ€” Windows global configuration
  4. ./config/*.toml โ€” Split configuration for development/operations

๐Ÿ“Š Logging

fnb includes built-in structured logging powered by loguru. All operations are logged with configurable verbosity levels.

Log Levels

  • DEBUG โ€” Detailed debugging information, command traces, and internal state
  • INFO โ€” General operational information, task progress, success/failure messages (default)
  • WARNING โ€” Important notices, non-critical issues, fallback actions
  • ERROR โ€” Error conditions, operation failures, critical issues

Log Output

Console Output (stderr)

  • Colored, structured format with timestamps
  • User-facing messages on stdout (status, progress)
  • Internal logging on stderr (debug, technical details)

Log Files (automatic)

  • macOS: ~/Library/Logs/fnb/fnb.log
  • Linux: ~/.local/share/fnb/fnb.log
  • Windows: %APPDATA%\qumasan\fnb\Logs\fnb.log

File Log Management

  • Rotation: Automatic rotation when files reach 10MB
  • Retention: Keeps logs for 7 days
  • Compression: Old logs compressed with gzip
  • Disable: Set FNB_DISABLE_FILE_LOGGING=1 to disable file logging

Command Examples

# Default INFO level logging
fnb sync logs

# Verbose debugging output
fnb fetch logs --verbose
fnb sync logs --log-level DEBUG

# Quiet mode (warnings and errors only)
fnb backup logs --quiet
fnb fetch logs --log-level WARNING

# Custom log level
fnb sync logs --log-level ERROR

๐Ÿ” Authentication

SSH password input can be automated using pexpect. You can also define connection settings in a .env file if needed. Run fnb init env to create the initial .env file.


๐Ÿ†• What's New in v0.12.3

๐Ÿ› ๏ธ Development Workflow Improvements

  • Restructured Task File - Reorganized task definitions following standardized pattern for better organization and clarity
  • Enhanced Task Management - New convenience tasks: env:setup, env:clean, status, log, push, push:tags, push:release
  • Improved Type Safety - Fixed type checking issues in options.py for stricter type compliance
  • Dependency Updates - Updated 68 packages to latest versions

๐Ÿ“š Expanded Documentation

  • Release Note Templates - New docs:release task for structured release documentation
  • Version Management - Simplified with bump:auto, bump:patch, bump:minor, bump:major commands
  • Release Notes Structure - vX.Y.Z release notes in docs/releases/ with comprehensive information

๐Ÿ“– ReadTheDocs Documentation Platform Integration (v0.11.2)

  • Versioned Documentation - Automatic documentation builds for each Git tag
  • Multi-format Output - HTML, EPUB, and HTMLZip formats available
  • Version Selector - Easy switching between documentation versions
  • Public Documentation - Professional documentation hosting at https://fnb.readthedocs.io/

๐Ÿ”ง Enhanced Documentation Infrastructure (v0.11.2)

  • Automated Builds - Documentation automatically builds on tag push
  • Material Theme Support - Full mkdocs-material compatibility with ReadTheDocs
  • Stable URLs - Each version accessible at predictable URLs
  • Search Integration - Full-text search across all versions

๐Ÿงช Development

  • Python 3.12+ โ€” Version requirement
  • uv โ€” Package management
  • Typer โ€” CLI framework
  • Pydantic โ€” Configuration validation
  • pexpect โ€” SSH automation
  • python-dotenv โ€” Environment variable support
  • pytest โ€” Testing framework (80% coverage)
  • mkdocs-material โ€” Documentation with i18n support
  • pre-commit โ€” Run checks before each commit
  • ruff โ€” Fast Python linter and formatter
  • commitizen โ€” Conventional commit tagging and changelog automation
  • renovate โ€” Automated dependency management

Release Management

This project uses automated semantic versioning with structured release workflow:

Complete Release Workflow

Option 1: Automated Full Release (v0.12.3)

task release:full  # test โ†’ format โ†’ bump โ†’ release

Option 2: Step-by-Step Release (New in v0.12.3)

# Step 1: Verify changes and run tests
task test:ci           # Run all tests and checks

# Step 2: Preview and execute version bump
task bump:check        # Preview version changes
task bump:patch        # Bump patch version (or bump:minor/bump:major)

# Step 3: Create release notes from template
task docs:release -- X.Y.Z  # Create vX.Y.Z.md from template
# Edit docs/releases/vX.Y.Z.md with detailed release information

# Step 4: Commit release notes
git add docs/releases/vX.Y.Z.md mkdocs.yml
git commit -m "docs: add vX.Y.Z release notes"

# Step 5: Push release to GitLab with notes file
task push:release -- X.Y.Z  # Creates GitLab release with release notes

# Step 6: Verify TestPyPI deployment (automatic on tag push)
VERSION=X.Y.Z task verify:testpypi

# Step 7: Production PyPI deployment (when ready)
task publish:prod

Release Timeline

  1. Code Changes โ†’ Commit with conventional commit format
  2. Version Bump โ†’ task version:bump creates tag and updates files
  3. Tag Push โ†’ task release pushes tags and creates GitLab release
  4. TestPyPI Deploy โ†’ Automatic CI deployment on tag push
  5. Release Notes โ†’ Manual creation of detailed release documentation
  6. Documentation โ†’ Update navigation and release index
  7. PyPI Deploy โ†’ Manual production deployment when ready

Current Version: v0.12.3 - View Release

CI/CD Pipeline

GitLab CI/CD pipeline provides automated testing, building, and deployment:

Stages:

  • renovate: Automated dependency management (optional)
  • test: Unit tests, code quality, Renovate-specific tests
  • docs-quality: Documentation build validation
  • build: Package building with uv build
  • deploy-test: TestPyPI deployment (automatic on tag push) ๐Ÿš€
  • deploy-prod: PyPI deployment (manual approval for safety)

Automated Workflows:

# Deployment (v0.10.0)
tag push โ†’ [Auto TestPyPI] โ†’ Local Verification โ†’ [Manual PyPI]

# Dependency Management (v0.11.0)
Monday 6am JST โ†’ [Renovate Scan] โ†’ [Auto MR] โ†’ [Enhanced Testing]

Optional CI Variables:

# GitLab Settings โ†’ CI/CD โ†’ Variables
TESTPYPI_API_TOKEN  # TestPyPI API token for testing releases
PYPI_API_TOKEN      # PyPI API token for production releases
RENOVATE_TOKEN      # GitLab token for automated dependency updates (new in v0.11.0)

Local CI Simulation:

# Run tests as they run in CI (unit tests only)
task test:ci

# Run unit tests only (fast feedback)
task test:unit

# Run integration tests only
task test:integration

# Run all tests
task test

# Verify TestPyPI deployment
VERSION=0.12.3 task verify:testpypi

# Dependency management tasks (new in v0.11.0)
task deps:update    # Update all dependencies
task deps:test      # Test with updated dependencies
task deps:security  # Check for security vulnerabilities

Test Structure

Tests are organized into two directories for optimal development workflow:

  • tests/unit/: 9 files, 124 tests - Fast unit tests (1.65s)
  • tests/integration/: 1 file, 23 tests - Comprehensive workflow tests (3.25s)

Both directory-based and marker-based execution are supported:

# Directory-based (recommended)
task test:unit          # tests/unit/ only
task test:integration   # tests/integration/ only

# Marker-based (backward compatibility)
pytest -m "not integration"  # unit tests
pytest -m "integration"      # integration tests

Test Coverage

Current test coverage is 80% with comprehensive error handling and integration testing:

  • Unit Tests: 124 tests covering all modules
  • Integration Tests: 23 tests covering complete workflows
  • Test Execution: ~0.61s for unit tests, full test suite in <5s

See CLAUDE.md for detailed test structure and module-level coverage information.

๐Ÿชช License

MIT

๐Ÿ› ๏ธ Contributing

This project is maintained in two repositories:

  • ๐Ÿ› ๏ธ Development, Issues, Merge Requests: GitLab
  • ๐ŸŒ Public Mirror and Discussions: GitHub
  • ๐Ÿ“ฆ PyPI Package: fnb
  • ๐Ÿ“– Documentation: ReadTheDocs with versioned documentation
  • ๐Ÿ“– Legacy Docs: GitLab Pages (maintained for reference)

Please use GitLab for development contributions, bug reports, and feature requests. For documentation viewing and community discussions, feel free to visit the GitHub mirror.

Development Workflow

See CLAUDE.md for detailed development guidelines including:

  • Testing and coverage requirements (83%+)
  • Version management and release workflow
  • GitLab integration best practices

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