Skip to main content

Another library for iterating through the contents of a directory

Project description

Downloads Downloads Coverage Status Lines of code Hits-of-Code Test-Package Python versions PyPI version Checked with mypy Ruff DeepWiki

logo

There are many libraries for traversing directories. You can also do this using the standard library. What makes this library different:

  • 💎 Beautiful, laconic syntax.
  • ⚗️ Filtering by file extensions, text patterns in .gitignore format, and using custom callables.
  • 🐍 Natively works with both Path objects from the standard library and strings.
  • ❌ Support for cancellation tokens.
  • 👯‍♂️ Combining multiple crawling methods in one object.

Table of contents

Installation

You can install dirstree with pip:

pip install dirstree

You can also use instld to quickly try out this package and others without installing them.

Basic usage

The library is easy to use:

  • Create a crawler object, passing the path to the base directory and, if necessary, additional arguments.
  • Iterate through it.

The simplest example would look like this:

from dirstree import Crawler

crawler = Crawler('.')

for file in crawler:
    print(file)

↑ This recursively prints all files in the current directory, including files in nested directories. At each iteration, we get a new Path object.

By default, crawlers iterate over files only. If you need every filesystem entity found under the base directory, pass only_files=False:

crawler = Crawler('.', only_files=False)

Applying a function to each path

If you just want to run a function for each file the crawler finds, you don't have to write the loop yourself — every crawler has an apply() method:

Crawler('src', exclude=['tests/**']).apply(print)

↑ This will print the entire contents of the directory, except for the excluded locations.

ⓘ All of the crawler's settings are respected, exactly as they would be during normal iteration.

Filtering

Iterating through the files in the directory, you may not want to view all files, but only files of a certain type. To do this, ignore all other files. How to do it? There are three ways:

  • Bypass only files with the specified extensions, such as .txt, .doc, or .py.
  • Bypass files whose paths follow a specific text pattern.
  • Use an arbitrary function to determine whether you need each specific path or not.

To select a specific method, you need to pass a specific parameter when creating the crawler object. Of course, all the methods can be combined with each other.

To set the file extensions you are interested in, use the extensions parameter:

crawler = Crawler('.', extensions=['.txt'])  # Iterate only on .txt files.

ⓘ The extensions parameter is available only in the default file-only mode, so it cannot be combined with only_files=False. PythonCrawler is always file-only.

Also, if you only need Python files, you can use a special class to bypass them only, without specifying extensions:

from dirstree import PythonCrawler

crawler = PythonCrawler('.')  # Iterate only on .py files.

To specify which files and directories you do NOT want to iterate over, use the exclude parameter:

crawler = Crawler('.', exclude=['.git', 'venv'])  # Exclude ".git" and "venv" directories.

↑ Please note that we use the .gitignore format here.

If you need a universal way to filter out unnecessary paths, pass your function as the filter parameter:

crawler = Crawler('.', filter=lambda path: len(str(path)) == 7)  # Iterate only on paths that are 7 characters long.

Working with Cancellation Tokens

You can set an arbitrary condition under which file traversal will stop using cancellation tokens from the cantok library.

There are two ways to do this ↓

  1. If you use the crawler as a one-time object for a single iteration, set the token when creating it:
for path in Crawler('.', token=TimeoutToken(0.0001)): # Limit the iteration time to 0.0001 seconds.
    print(path)
  1. If you plan to use the crawler object several times, use the go() method for iteration and pass a new token to it every time:
crawler = Crawler('.')

for path in crawler.go(token=TimeoutToken(0.0001)): # Limit the iteration time to 0.0001 seconds.
    print(path)

↑ Follow these rules to avoid accidentally "baking" an expired token inside a crawler object.

Combination

You can combine multiple crawler objects into one using the usual addition operator, like this:

for path in Crawler('../dirstree') + Crawler('../cantok'):
    print(path)

↑ The paths that you will iterate over will be automatically deduplicated.

↑ You can also impose arbitrary restrictions on each of the summed objects, all of them will be taken into account.

You can also pass multiple paths to a single crawler object:

for path in Crawler('../dirstree', '../cantok'):
    print(path)

↑ In this case, there is no deduplication of paths.

Download files

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

Source Distribution

dirstree-0.0.9.tar.gz (22.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dirstree-0.0.9-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file dirstree-0.0.9.tar.gz.

File metadata

  • Download URL: dirstree-0.0.9.tar.gz
  • Upload date:
  • Size: 22.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dirstree-0.0.9.tar.gz
Algorithm Hash digest
SHA256 1f72e3ae2791c7a9943c0491bad7b7adfd830adf8711cd86feff7f0bbdddf8d7
MD5 b55b0f74851360364264ba6a308e6ee0
BLAKE2b-256 b4fdb35abbd46b3ce3560ac868e3b20084ab2316e125cc5c2ce3315dea014201

See more details on using hashes here.

Provenance

The following attestation bundles were made for dirstree-0.0.9.tar.gz:

Publisher: release.yml on mutating/dirstree

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dirstree-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: dirstree-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 9.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dirstree-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 687e0e41be3c2517c151276e71b3c567a581e1e8392d7ad546984bd6b28e38a1
MD5 4a23a1a4d4eff2701520f91be6318875
BLAKE2b-256 69496cabe454524f3c98ff53d8feb8bbc201b6de80bf48decb00f4adf889bf61

See more details on using hashes here.

Provenance

The following attestation bundles were made for dirstree-0.0.9-py3-none-any.whl:

Publisher: release.yml on mutating/dirstree

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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