🎾 ReadmeDocsFetcher Node for Haystack

This custom component for Haystack is designed to fetch documentation pages from the ReadMe documentation you have access to. It uses a MarkdownConverter to convert all of your documentation pages to a list of Haystack Documents. You can use this node as a standalone node or within an indexing pipeline.

Instllation

pip install readmedocs-fetcher-haystack

Usage in Haystack

1. To initialize a ReadmeDocsFetcher you have to provide an api_key paramter. This is your ReadMe Docs API Key.
2. There are also 4 optional parameters to initialize the ReadmeDocsFetcher
   • slugs: To fetch a list of specific pages from your documentation. E.g. if you have want to fetch 'https://docs.haystack.deepset.ai/docs/installation' the slug would be installation. If not set, all of the available pages will be fetched.
   • base_url: Optionally provide this to add the full url of a documentation page to the meta of the created document. For example base_url='https://docs.haystack.deepset.ai'"
   • version: If not set, the latest stable version of tour docs will be fethed.
   • markdown_converter: When documents are fetched from ReadMe, temporary .md files are created and we use a MakrdownConverter to create a list of haystack Documents. If not provided at initialization, the a MarkdownConverter with the default parameters is used.

Standalone

import os
from dotenv import load_dotenv
from haystack.nodes import MarkdownConverter
from readmedocs_fetcher_haystack import ReadmeDocsFetcher

load_dotenv()
README_API_KEY = os.getenv('README_API_KEY')

converter = MarkdownConverter(remove_code_snippets=False)
readme_fetcher = ReadmeDocsFetcher(api_key=README_API_KEY, markdown_converter=converter, base_url="https://docs.haystack.deepset.ai")
readme_fetcher.fetch_docs()

To fetch a single doc from a specific version:

readme_fetcher.fetch_docs(slugs=["nodes_overview"], version="v1.18")

In a Pipeline

import os
from dotenv import load_dotenv
from haystack import Pipeline
from haystack.nodes import MarkdownConverter, PreProcessor
from haystack.document_stores import InMemoryDocumentStore
from readmedocs_fetcher_haystack import ReadmeDocsFetcher

load_dotenv()
README_API_KEY = os.getenv('README_API_KEY')

converter = MarkdownConverter(remove_code_snippets=False)
readme_fetcher = ReadmeDocsFetcher(api_key=README_API_KEY, markdown_converter=converter, base_url="https://docs.haystack.deepset.ai")

preprocessor = PreProcessor()
doc_store = InMemoryDocumentStore()

pipe = Pipeline()
pipe.add_node(component=readme_fetcher, name="ReadmeFetcher", inputs=["File"])
pipe.add_node(component=preprocessor, name="Preprocessor", inputs=["ReadmeFetcher"])
pipe.add_node(component=doc_store, name="DocumentStore", inputs=["Preprocessor"])
pipe.run()

To fetch a single documentation page:

pipe.run(params={"ReadmeFetcher":{"slugs": ["nodes_overview"]}})