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Contributing to Haystack Core Integrations

First off, thanks for taking the time to contribute! 💙

All types of contributions are encouraged and valued. See the Table of Contents for different ways to help and details about how this project handles them. Please make sure to read the relevant section before making your contribution. It will make it a lot easier for us maintainers and smooth out the experience for all involved. The community looks forward to your contributions!

Tip

If you like Haystack, but just don't have time to contribute, that's fine. There are other easy ways to support the project and show your appreciation, which we would also be very happy about:

  • Star this repository
  • Tweet about it
  • Mention Haystack at local meetups and tell your friends/colleagues

Table of Contents

Code of Conduct

This project and everyone participating in it is governed by our Code of Conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to haystack@deepset.ai.

I Have a Question

Tip

If you want to ask a question, we assume that you have read the available Documentation.

Before you ask a question, it is best to search for existing Issues that might help you. In case you have found a suitable issue and still need clarification, you can write your question in this issue. It is also advisable to search the internet for answers first.

If you then still feel the need to ask a question and need clarification, you can use one of our Community Channels, Discord in particular is often very helpful.

Reporting Bugs

Before Submitting a Bug Report

A good bug report shouldn't leave others needing to chase you up for more information. Therefore, we ask you to investigate carefully, collect information and describe the issue in detail in your report. Please complete the following steps in advance to help us fix any potential bug as fast as possible.

  • Make sure that you are using the latest version.
  • Determine if your bug is really a bug and not an error on your side e.g. using incompatible environment components/versions (Make sure that you have read the documentation. If you are looking for support, you might want to check this section).
  • To see if other users have experienced (and potentially already solved) the same issue you are having, check if there is not already a bug report existing for your bug or error in the bug tracker.
  • Also make sure to search the internet (including Stack Overflow) to see if users outside of the GitHub community have discussed the issue.
  • Collect information about the bug:
    • OS, Platform and Version (Windows, Linux, macOS, x86, ARM)
    • Version of Haystack and the integrations you're using
    • Possibly your input and the output
    • If you can reliably reproduce the issue, a snippet of code we can use

How Do I Submit a Good Bug Report?

Important

You must never report security related issues, vulnerabilities or bugs including sensitive information to the issue tracker, or elsewhere in public. Instead sensitive bugs must be reported using this link.

We use GitHub issues to track bugs and errors. If you run into an issue with the project:

  • Open an Issue of type Bug Report.
  • Explain the behavior you would expect and the actual behavior.
  • Please provide as much context as possible and describe the reproduction steps that someone else can follow to recreate the issue on their own. This usually includes your code. For good bug reports you should isolate the problem and create a reduced test case.
  • Provide the information you collected in the previous section.

Once it's filed:

  • The project team will label the issue accordingly.
  • A team member will try to reproduce the issue with your provided steps. If there are no reproduction steps or no obvious way to reproduce the issue, the team will ask you for those steps.
  • If the team is able to reproduce the issue, the issue will scheduled for a fix, or left to be implemented by someone.

Suggesting Enhancements

This section guides you through submitting an enhancement suggestion, including new integrations and improvements to existing ones. Following these guidelines will help maintainers and the community to understand your suggestion and find related suggestions.

Before Submitting an Enhancement

  • Make sure that you are using the latest version.
  • Read the documentation carefully and find out if the functionality is already covered, maybe by an individual configuration.
  • Perform a search to see if the enhancement has already been suggested. If it has, add a comment to the existing issue instead of opening a new one.
  • Find out whether your idea fits with the scope and aims of the project. It's up to you to make a strong case to convince the project's developers of the merits of this feature. Keep in mind that we want features that will be useful to the majority of our users and not just a small subset. If you're just targeting a minority of users, consider writing and distributing the integration on your own.

How Do I Submit a Good Enhancement Suggestion?

Enhancement suggestions are tracked as GitHub issues of type Feature request for existing integrations.

  • Use a clear and descriptive title for the issue to identify the suggestion.
  • Fill the issue following the template

Contribute code

Important

When contributing to this project, you must agree that you have authored 100% of the content, that you have the necessary rights to the content and that the content you contribute may be provided under the project license.

Where to start

If this is your first contribution, a good starting point is looking for an open issue that's marked with the label "good first issue". The core contributors periodically mark certain issues as good for first-time contributors. Those issues are usually limited in scope, easy fixable and low priority, so there is absolutely no reason why you should not try fixing them, it's a good excuse to start looking into the project and a safe space for experimenting failure: if you don't get the grasp of something, pick another one!

Setting up your development environment

Haystack makes heavy use of Hatch, a Python project manager that we use to set up the virtual environments, build the project and publish packages. As you can imagine, the first step towards becoming a Haystack contributor is installing Hatch. There are a variety of install methods depending on your operating system platform, version and personal taste: please have a look at this page and keep reading once you can run from your terminal:

$ hatch --version
Hatch, version 1.9.3

Clone the git repository

You won't be able to make changes directly to this repo, so the first step is to create a fork. Once your fork is ready, you can clone a local copy with:

$ git clone https://github.com/YOUR-USERNAME/haystack-core-integrations

If everything worked, you should be able to do something like this (the output might be different):

$ cd haystack-core-integrations/integrations/chroma
$ hatch version
0.13.1.dev30+g9fe18d23

Working on integrations

Note

This is a so-called monorepo, meaning that this single repository contains multiple different applications. In our case, Haystack Integrations live in the ./integrations folder, and each one must be considered an independent project. All the examples shown in this section must be executed in one specific integration folder.

Hatch provides several commands we use for developing integrations, let's pick haystack-chroma to show a practical example. Before proceeding, from the root of the repository we cd into the integration folder:

$ cd integrations/chroma

Integration version

We can get the current version of the integration with:

$ hatch version
0.13.1.dev30+g9fe18d23

Note

Even when you see the version number ends with a suffix like .dev..., this doesn't necessarily mean the integration has unreleased commits. In other words, despite what the version number says, you might be looking at the latest released code. This is a side effect of working with a monorepo: hatch can't tell if a certain commit in the git history is releated to one integration or the other.

Run the linter

Every time you change the code, it's a good practice to run the linter, that will ensure your code is well formatted and the static checker is happy with the typing:

$ hatch run lint:all

If you see Hatch reporting problems, you can try fixing them with:

$ hatch run lint:fmt

You can also run the code formatter and the static checker separated:

$ hatch run lint:style

and

$ hatch run lint:typing

Run the tests

It's important your tests pass before contributing code. To run all the tests locally:

$ hatch run test

[!IMPORTANT] The command above will run ALL the tests, including integration tests; some of those often need you to run a certain service in background (e.g. a Vector Database) or provide credentials to external services (e.g. OpenAI) in order to pass.

If you want to run only a portion of the tests, for example including integration tests, Hatch will happily take the same options you would pass to pytest directly, in this case a marker with the option -m:

$ hatch run test -m"not integration"

Create a new integration

Important

Core integrations follow the naming convention PREFIX-haystack, where PREFIX can be the name of the technology you're integrating Haystack with. For example, a deepset integration would be named as deepset-haystack.

To create a new integration, from the root of the repo change directory into integrations:

cd integrations

From there, use hatch to create the scaffold of the new integration:

$ hatch --config hatch.toml new -i
Project name: deepset-haystack
Description []: An example integration, this text can be edited later

deepset-haystack
├── src
│   └── deepset_haystack
│       ├── __about__.py
│       └── __init__.py
├── tests
│   └── __init__.py
├── LICENSE.txt
├── README.md
└── pyproject.toml

Improving The Documentation

There are two types of documentation for this project: Python API docs, and Documentation pages

Python API docs

The Python API docs detail the source code: classes, functions, and parameters that every integration implements. This type of documentation is extracted from the source code itself, and contributors should pay attention when they change the code to also change relevant comments and docstrings. This type of documentation is mostly useful to developers, but it can be handy for users at times. You can browse it on the dedicated section in the documentation website.

We use pydoc-markdown to convert docstrings into properly formatted Markdown files, and while the CI takes care of generating and publishing the updated documentation at every merge on the main branch, you can generate the docs locally using Hatch. From an integration folder:

$ hatch run docs

If you see a warning referring to a missing README_API_KEY env var, that's expected.

If you want to customise the conversion process, the pydoc-markdown config files are stored in a pydoc/ folder for each integration.

Documentation pages

Documentation pages explain what an integration accomplishes, how to use it, and how to configure it. This type of documentation mostly targets end-users, and contributors are welcome to make changes and keep it up-to-date. You can contribute changes to the documentation using the "Suggest Edits" button in the top-right corner of each page.