Skip to main content

File-system specification

Project description

filesystem_spec

PyPI version Anaconda-Server Badge Build Docs

A specification for pythonic filesystems.

Install

pip install fsspec

would install the base fsspec. Various optionally supported features might require specification of custom extra require, e.g. pip install fsspec[ssh] will install dependencies for ssh backends support. Use pip install fsspec[full] for installation of all known extra dependencies.

Up-to-date package also provided through conda-forge distribution:

conda install -c conda-forge fsspec

Purpose

To produce a template or specification for a file-system interface, that specific implementations should follow, so that applications making use of them can rely on a common behaviour and not have to worry about the specific internal implementation decisions with any given backend. Many such implementations are included in this package, or in sister projects such as s3fs and gcsfs.

In addition, if this is well-designed, then additional functionality, such as a key-value store or FUSE mounting of the file-system implementation may be available for all implementations "for free".

Documentation

Please refer to RTD

Develop

fsspec uses GitHub Actions for CI. Environment files can be found in the "ci/" directory. Note that the main environment is called "py38", but it is expected that the version of python installed be adjustable at CI runtime. For local use, pick a version suitable for you.

Testing

Tests can be run in the dev environment, if activated, via pytest fsspec.

The full fsspec suite requires a system-level docker, docker-compose, and fuse installation. If only making changes to one backend implementation, it is not generally necessary to run all tests locally.

It is expected that contributors ensure that any change to fsspec does not cause issues or regressions for either other fsspec-related packages such as gcsfs and s3fs, nor for downstream users of fsspec. The "downstream" CI run and corresponding environment file run a set of tests from the dask test suite, and very minimal tests against pandas and zarr from the test_downstream.py module in this repo.

Code Formatting

fsspec uses Black to ensure a consistent code format throughout the project. Run black fsspec from the root of the filesystem_spec repository to auto-format your code. Additionally, many editors have plugins that will apply black as you edit files. black is included in the tox environments.

Optionally, you may wish to setup pre-commit hooks to automatically run black when you make a git commit. Run pre-commit install --install-hooks from the root of the filesystem_spec repository to setup pre-commit hooks. black will now be run before you commit, reformatting any changed files. You can format without committing via pre-commit run or skip these checks with git commit --no-verify.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

fsspec-2023.6.0.tar.gz (154.4 kB view details)

Uploaded Source

Built Distribution

fsspec-2023.6.0-py3-none-any.whl (163.8 kB view details)

Uploaded Python 3

File details

Details for the file fsspec-2023.6.0.tar.gz.

File metadata

  • Download URL: fsspec-2023.6.0.tar.gz
  • Upload date:
  • Size: 154.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for fsspec-2023.6.0.tar.gz
Algorithm Hash digest
SHA256 d0b2f935446169753e7a5c5c55681c54ea91996cc67be93c39a154fb3a2742af
MD5 a6776f6c387e09c54146d7cc10e6c434
BLAKE2b-256 14e433a5c4635cff37ef6eb66608c675ae678b48baa6e73b331536cf2cbf18a1

See more details on using hashes here.

Provenance

File details

Details for the file fsspec-2023.6.0-py3-none-any.whl.

File metadata

  • Download URL: fsspec-2023.6.0-py3-none-any.whl
  • Upload date:
  • Size: 163.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for fsspec-2023.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1cbad1faef3e391fba6dc005ae9b5bdcbf43005c9167ce78c915549c352c869a
MD5 8ffe661e6ee70b610e59b1a453063c21
BLAKE2b-256 e3bd4c0a4619494188a9db5d77e2100ab7d544a42e76b2447869d8e124e981d8

See more details on using hashes here.

Provenance

Supported by

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