duperemover 0.1.0.1

A Python utility for efficiently deduplicating files in directories

Duperemover

A Python utility for efficiently deduplicating files in directories.

Install

pip install duperemover

Usage

from duperemover import Deduplicator

dedup = Deduplicator(
    directory="/path/to/directory",
    hash_algorithm="xxhash",
    replace_strategy="hardlink",
    progress=True,
)
dedup.deduplicate()
dedup.print_stats()

CLI

duperemover --help

Command Syntax

duperemover <directory> [options]

Arguments:
  <directory>            Directory to scan for duplicates.
  --hash-file <file>     File to store hashes (default: .hashes.db).
  --buffer-size <size>   Buffer size for hashing (default: 65536, 64KB).
  --hash-algorithm <alg> Hashing algorithm (choices: "xxhash", "blake3", "sha256", default: "xxhash" if available).
  --replace-strategy <strategy> Strategy for handling duplicates (choices: "hardlink", "delete", "rename", default: "hardlink").
  --max-threads <num>    Number of threads to use for processing (default: 4).
  --sync-interval <num>  Sync interval for hashes to disk (default: 100).
  --progress             Show a progress bar while processing files.
  --dry-run              Simulate the deduplication process without making any changes.
  --use-bloom-filter     Use Bloom filter to speed up duplicate checking.
  --exclude PATTERNS     Exclude files matching these patterns.

Examples

# Basic deduplication (using default hashing algorithm)
duperemover /path/to/directory

# Using SHA256 as the hashing algorithm
duperemover /path/to/directory --hash-algorithm sha256

# Simulate deduplication (dry run)
duperemover /path/to/directory --dry-run

# Create hard links for duplicates, use Bloom filter, and show progress
duperemover /path/to/directory --replace-strategy hardlink --use-bloom-filter --progress

Features

• Hash Algorithms: Choose between xxhash, blake3, and sha256 for calculating file hashes.
• Duplicate Handling Strategies:
  • hardlink: Replace duplicates with hard links.
  • delete: Delete duplicate files.
  • rename: Rename duplicate files by appending .duplicate to their names.
• Multi-threading: Process files in parallel to speed up deduplication.
• Bloom Filter: Optionally, enable the Bloom filter to speed up duplicate checks by avoiding re-hashing files.
• Exclusion Patterns: Exclude files matching specific patterns from the deduplication process.
• Progress Bar: Optionally display a progress bar for better visibility during the deduplication process.
• Dry Run: Run the deduplication process without making any actual changes (useful for testing).

API

Deduplicator

from duperemover import Deduplicator

Constructor

Deduplicator(
    directory: str,
    hash_file: str = ".hashes.db",
    buffer_size: int = 65536,
    hash_algorithm: str = "xxhash",
    replace_strategy: str = "hardlink",
    max_threads: int = 4,
    sync_interval: int = 100,
    progress: bool = False,
    dry_run: bool = False,
    exclude_patterns: list[str] | None = None,
    use_bloom_filter: bool = False,
)

Methods

• deduplicate(): Scan the directory for duplicates and process each file.
• print_stats(): Print deduplication statistics.
• count_files(directory): Count the number of files in a directory.
• get_file_hash(file_path): Calculate and return the hash of a file.
• are_same_file(file1, file2): Check if two files are the same based on their inodes.
• create_hard_link(source, target): Create a hard link from the source file to the target file.
• delete_duplicate(file_path): Delete a duplicate file.
• rename_duplicate(file_path): Rename a duplicate file by appending .duplicate.
• is_excluded(file_path): Check if a file matches any exclusion pattern.

Development

git clone https://github.com/daedalus/duperemover.git
cd duperemover
pip install -e ".[test]"

# run tests
pytest

# format
ruff format src/ tests/

# lint
ruff check src/ tests/

# type check
mypy src/