Get top 10 HN posts (TheAlgorithms#5604)

* updating DIRECTORY.md

* updating DIRECTORY.md

* Create get_top_hn_posts.py

* updating DIRECTORY.md

* Add return type and desc

* Add texttable

* Update web_programming/get_top_hn_posts.py

Co-authored-by: Christian Clauss <[email protected]>

* Update web_programming/get_top_hn_posts.py

Co-authored-by: Christian Clauss <[email protected]>

* Get top 10 posts

* Update get_top_hn_posts.py

* Don't use texttable

* Setup doctest

* Fix pre-commit issues

* Remove print statement

* Add hackernews_top_stories_as_markdown()

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: Christian Clauss <[email protected]>

Author: 3 people

DIRECTORY.md

@@ -53,6 +53,7 @@
 ## Cellular Automata
   * [Conways Game Of Life](https://github.com/TheAlgorithms/Python/blob/master/cellular_automata/conways_game_of_life.py)
   * [Game Of Life](https://github.com/TheAlgorithms/Python/blob/master/cellular_automata/game_of_life.py)
+  * [Nagel Schrekenberg](https://github.com/TheAlgorithms/Python/blob/master/cellular_automata/nagel_schrekenberg.py)
   * [One Dimensional](https://github.com/TheAlgorithms/Python/blob/master/cellular_automata/one_dimensional.py)
 
 ## Ciphers
@@ -987,6 +988,7 @@
   * [Fetch Jobs](https://github.com/TheAlgorithms/Python/blob/master/web_programming/fetch_jobs.py)
   * [Get Imdb Top 250 Movies Csv](https://github.com/TheAlgorithms/Python/blob/master/web_programming/get_imdb_top_250_movies_csv.py)
   * [Get Imdbtop](https://github.com/TheAlgorithms/Python/blob/master/web_programming/get_imdbtop.py)
+  * [Get Top Hn Posts](https://github.com/TheAlgorithms/Python/blob/master/web_programming/get_top_hn_posts.py)
   * [Get User Tweets](https://github.com/TheAlgorithms/Python/blob/master/web_programming/get_user_tweets.py)
   * [Giphy](https://github.com/TheAlgorithms/Python/blob/master/web_programming/giphy.py)
   * [Instagram Crawler](https://github.com/TheAlgorithms/Python/blob/master/web_programming/instagram_crawler.py)

requirements.txt

@@ -14,6 +14,7 @@ sklearn
 statsmodels
 sympy
 tensorflow
+texttable
 tweepy
 types-requests
 xgboost

web_programming/get_top_hn_posts.py

@@ -0,0 +1,26 @@
+from __future__ import annotations
+
+import requests
+
+
+def get_hackernews_story(story_id: str) -> dict:
+    url = f"https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"
+    return requests.get(url).json()
+
+
+def hackernews_top_stories(max_stories: int = 10) -> list[dict]:
+    """
+    Get the top max_stories posts from HackerNews - https://news.ycombinator.com/
+    """
+    url = "https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty"
+    story_ids = requests.get(url).json()[:max_stories]
+    return [get_hackernews_story(story_id) for story_id in story_ids]
+
+
+def hackernews_top_stories_as_markdown(max_stories: int = 10) -> str:
+    stories = hackernews_top_stories(max_stories)
+    return "\n".join("* [{title}]({url})".format(**story) for story in stories)
+
+
+if __name__ == "__main__":
+    print(hackernews_top_stories_as_markdown())