Source code for medium_api._recommended_feed

"""
Recommended Feed module containing `Recommended Feed` class.
"""
import math


SAMPLE_STYLE_FILE = 'https://mediumapi.com/styles/dark.css'

[docs] class RecommendedFeed: """RecommendedFeed Class With `RecommendedFeed` object, you can use the following properties and methods: - recommended_feed.ids - recommended_feed.articles - recommended_feed.fetch_articles() Note: `RecommendedFeed` class is NOT intended to be used directly by importing. See :obj:`medium_api.medium.Medium.recommended_feed`. """ def __init__(self, tag, count, get_resp, fetch_articles, fetch_users, fetch_publications, fetch_lists): self.tag = str(tag) self.count = int(count) self.__get_resp = get_resp self.__fetch_articles = fetch_articles self.__fetch_users = fetch_users self.__fetch_publications = fetch_publications self.__fetch_lists = fetch_lists self.__ids = [] self.__articles = None @property def ids(self): """To get a list of recommended_feed `article_ids` Returns: list[str]: A list of `article_ids` (str) from the recommended_feed for the given `tag`. """ articles_per_page = 25 no_of_pages = math.ceil(self.count / articles_per_page) if not self.__ids: for page in range(1, no_of_pages + 1): resp, _ = self.__get_resp(f'/recommended_feed/{self.tag}?page={page}') self.__ids += list(resp['recommended_feed']) return self.__ids[:self.count] @property def articles(self): """To get a list of recommended_feed `Article` objects Returns: list[Article]: A list of `Article` objects from the recommended_feed for the given `tag`. """ from medium_api._article import Article if self.__articles is None: self.__articles = [Article(article_id=article_id, get_resp=self.__get_resp, fetch_articles=self.__fetch_articles, fetch_users=self.__fetch_users, fetch_publications=self.__fetch_publications, fetch_lists=self.__fetch_lists, save_info=False) for article_id in self.ids] return self.__articles
[docs] def fetch_articles(self, content=False, markdown=False, html=False, html_fullpage=True, html_style_file=SAMPLE_STYLE_FILE): """To fetch all the recommended_feed articles information (multithreading) Args: content (bool, optional): Set it to `True` if you want to fetch the textual content of the article as well. Otherwise, default is `False`. markdown(bool, optional): Set it to `True` if you want to fetch the markdown of the article as well. Otherwise, default is `False` html(bool, optional): Set it to `True` if you want to fetch the article in HTML format as well. Otherwise, default is `False` html_fullpage(bool, optional): Set it to `False` if you only want to fetch the HTML inside body tag of the article. Otherwise, default is `True`, which fetches the entire HTML of the article. Returns: None: All the fetched information will be access via recommended_feed.articles. ``recommended_feed.articles[0].title`` ``recommended_feed.articles[1].claps`` """ self.__fetch_articles( self.articles, content=content, markdown=markdown, html=html, html_fullpage=html_fullpage, html_style_file=html_style_file )
def __repr__(self): return f'<RecommendedFeed: {self.tag}>'