WikiSearchAtomicFlow.py

from copy import deepcopy

from typing import List, Dict, Optional, Any

from flows.base_flows import AtomicFlow

from flows.utils import logging
from .wikipediaAPI import WikipediaAPIWrapper

log = logging.get_logger(__name__)


class WikiSearchAtomicFlow(AtomicFlow):
    REQUIRED_KEYS_CONFIG = ["lang", "top_k_results", "doc_content_chars_max"]
    REQUIRED_KEYS_CONSTRUCTOR = []

    SUPPORTS_CACHING: bool = True

    api_wrapper: WikipediaAPIWrapper

    def __init__(self, **kwargs):
        super().__init__(**kwargs)

    def run(self,
            input_data: Dict[str, Any]) -> Dict[str, Any]:

        # ~~~ Process input ~~~
        term = input_data.get("search_term", None)
        api_wrapper = WikipediaAPIWrapper(
            lang=self.flow_config["lang"],
            top_k_results=self.flow_config["top_k_results"],
            doc_content_chars_max=self.flow_config["doc_content_chars_max"]
        )

        # ~~~ Call ~~~
        if page_content := api_wrapper._fetch_page(term):
            search_response = {"wiki_content": page_content, "relevant_pages": None}
        else:
            page_titles = api_wrapper.search_page_titles(term)
            search_response = {"wiki_content": None, "relevant_pages": f"Could not find [{term}]. similar: {page_titles}"}

        # Log the update to the flow messages list
        observation = search_response["wiki_content"] if search_response["wiki_content"] else search_response["relevant_pages"]
        return {"wiki_content": observation}