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-2023.4.0.tar.gz (145.9 kB view details)

Uploaded Source

Built Distribution

fsspec-2023.4.0-py3-none-any.whl (154.0 kB view details)

Uploaded Python 3

File details

Details for the file fsspec-2023.4.0.tar.gz.

File metadata

  • Download URL: fsspec-2023.4.0.tar.gz
  • Upload date:
  • Size: 145.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for fsspec-2023.4.0.tar.gz
Algorithm Hash digest
SHA256 bf064186cd8808f0b2f6517273339ba0a0c8fb1b7048991c28bc67f58b8b67cd
MD5 22c530f1c6fe1d4dedd6ebd2da074078
BLAKE2b-256 d8c37eb5ace7aac24890fd6f3dbf49d547305237bd4002903f19b524061ce8ae

See more details on using hashes here.

File details

Details for the file fsspec-2023.4.0-py3-none-any.whl.

File metadata

  • Download URL: fsspec-2023.4.0-py3-none-any.whl
  • Upload date:
  • Size: 154.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for fsspec-2023.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f398de9b49b14e9d84d2c2d11b7b67121bc072fe97b930c4e5668ac3917d8307
MD5 2acde28119fd705445f92aa81fbc0756
BLAKE2b-256 d630db3078afe553e9a07c87534cbfb87a8c8ebb083fa0a8847ca5bdc86b51a7

See more details on using hashes here.

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