Skip to content

deepset-ai/document-store

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

test

Example Store

This Github repository is a template that can be used to create custom document stores to extend the new Haystack API available from version 2.0.

Template features

By creating a new repo using this template, you'll get the following advantages:

  • Ready-made code layout and scaffold to build a custom document store.
  • Support for packaging and distributing the code through Python wheels using Hatch.
  • Github workflow to build and upload a package when tagging the repo.
  • Github workflow to run the tests on Pull Requests.

How to use this repo

  1. Create a new repository starting from this template. If you never used this feature before, you can find more details in Github docs.
  2. If possible, follow the convention technology-haystack for the name of the new repository, where technology can be for example the name of a vector database you're integrating.
  3. Rename the package src/example_store to something more meaningful and adjust the Python import statements.
  4. Replace any occurrence of example_store and example-store across the repo, according to the name you chose in the previous steps.
  5. Search the whole codebase for the string #FIXME, that's where you're supposed to change or add code specific for the database you're integrating.
  6. If Apache 2.0 is not suitable for your needs, change the software license.

When your custom document store is ready and working, feel free to add it to the list of available Haystack Integrations by opening a Pull Request in this repo.

Test

You can use hatch to run the linters:

~$ hatch run lint:all
cmd [1] | ruff .
cmd [2] | black --check --diff .
All done! ✨ 🍰 ✨
6 files would be left unchanged.
cmd [3] | mypy --install-types --non-interactive src/example_store tests
Success: no issues found in 6 source files

Similar for running the tests:

~$ hatch run cov
cmd [1] | coverage run -m pytest tests
...

Build

To build the package you can use hatch:

~$ hatch build
[sdist]
dist/example_store-0.0.1.tar.gz

[wheel]
dist/example_store-0.0.1-py3-none-any.whl

Release

To automatically build and push the package to PyPI, you need to set a repository secret called PYPI_API_TOKEN containing a valid token for your PyPI account. Then set the desired version number in src/example_store/__about__.py and tag the commit using the format vX.Y.Z. After pushing the tag, a Github workflow will start and take care of building and releasing the package.

License

example-store is distributed under the terms of the Apache-2.0 license.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages