Integration: ReadMeDocs Fetcher

Fetch documentdation pages from ReadMe docs sites.

Authors

Tuana Çelik

Silvano Cerza

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.

Installation

pip install readmedocs-fetcher-haystack

Usage

To initialize a ReadmeDocsFetcher you have to provide an api_key parameter. This is your ReadMe Docs API Key.
There are 3 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 fetched.
- 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, then 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"]}})