71 lines
2.8 KiB
Markdown
71 lines
2.8 KiB
Markdown
# Contributing to LangFlow
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Hello there! We appreciate your interest in contributing to LangFlow.
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As an open-source project in a rapidly developing field, we are extremely open
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to contributions, whether it be in the form of a new feature, improved infra, or better documentation.
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To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow.
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Please do not try to push directly to this repo unless you are a maintainer.
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## 🗺️Contributing Guidelines
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### 🚩GitHub Issues
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Our [issues](https://github.com/logspace-ai/langflow/issues) page is kept up to date
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with bugs, improvements, and feature requests. There is a taxonomy of labels to help
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with sorting and discovery of issues of interest.
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If you're looking for help with your code, consider posting a question on the
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[GitHub Discussions board](https://github.com/logspace-ai/langflow/discussions). Please
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understand that we won't be able to provide individual support via email. We
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also believe that help is much more valuable if it's **shared publicly**,
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so that more people can benefit from it.
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- **Describing your issue:** Try to provide as many details as possible. What
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exactly goes wrong? _How_ is it failing? Is there an error?
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"XY doesn't work" usually isn't that helpful for tracking down problems. Always
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remember to include the code you ran and if possible, extract only the relevant
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parts and don't just dump your entire script. This will make it easier for us to
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reproduce the error.
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- **Sharing long blocks of code or logs:** If you need to include long code,
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logs or tracebacks, you can wrap them in `<details>` and `</details>`. This
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[collapses the content](https://developer.mozilla.org/en/docs/Web/HTML/Element/details)
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so it only becomes visible on click, making the issue easier to read and follow.
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### Issue labels
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[See this page](https://github.com/logspace-ai/langflow/labels) for an overview of
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the system we use to tag our issues and pull requests.
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### Local development
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You can develop LangFlow using docker compose, or locally.
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#### **Docker compose**
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This will run the backend and frontend in separate containers. The frontend will be available at `localhost:3000` and the backend at `localhost:7860`.
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```bash
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docker compose up --build
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# or
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make dev build=1
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```
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#### **Locally**
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Run locally by cloning the repository and installing the dependencies. We recommend using a virtual environment to isolate the dependencies from your system.
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Before you start, make sure you have the following installed:
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- Poetry
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- Node.js
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For the backend, you will need to install the dependencies and start the development server.
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```bash
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poetry install
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make run_backend
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```
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For the frontend, you will need to install the dependencies and start the development server.
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```bash
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cd src/frontend
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npm install
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npm start
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```
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