forked from tanner/qotnews
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160 lines
5.1 KiB
160 lines
5.1 KiB
import logging |
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logging.basicConfig( |
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', |
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level=logging.DEBUG) |
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if __name__ == '__main__': |
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import sys |
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sys.path.insert(0,'.') |
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import requests |
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from datetime import datetime |
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from utils import clean |
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SUBSTACK_API_TOP_POSTS = lambda x: "https://substack.com/api/v1/reader/top-posts" |
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def author_link(author_id, base_url): |
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return f"{base_url}/people/{author_id}" |
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def api_comments(post_id, base_url): |
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return f"{base_url}/api/v1/post/{post_id}/comments?all_comments=true&sort=best_first" |
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def api_stories(x, base_url): |
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return f"{base_url}/api/v1/archive?sort=new&search=&offset=0&limit=100" |
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def unix(date_str): |
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return int(datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S.%fZ').timestamp()) |
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def api(route, ref=None): |
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try: |
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r = requests.get(route(ref), timeout=5) |
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if r.status_code != 200: |
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raise Exception('Bad response code ' + str(r.status_code)) |
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return r.json() |
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except KeyboardInterrupt: |
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raise |
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except BaseException as e: |
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logging.error('Problem hitting Substack API: {}, trying again'.format(str(e))) |
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try: |
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r = requests.get(route(ref), timeout=15) |
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if r.status_code != 200: |
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raise Exception('Bad response code ' + str(r.status_code)) |
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return r.json() |
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except KeyboardInterrupt: |
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raise |
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except BaseException as e: |
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logging.error('Problem hitting Substack API: {}'.format(str(e))) |
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return False |
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def comment(i): |
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if 'body' not in i: |
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return False |
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c = {} |
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c['date'] = unix(i.get('date')) |
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c['author'] = i.get('name', '') |
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c['score'] = i.get('reactions').get('❤') |
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c['text'] = clean(i.get('body', '') or '') |
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c['comments'] = [comment(j) for j in i['children']] |
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c['comments'] = list(filter(bool, c['comments'])) |
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return c |
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class Publication: |
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def __init__(self, domain): |
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self.BASE_DOMAIN = domain |
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def feed(self): |
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stories = api(lambda x: api_stories(x, self.BASE_DOMAIN)) |
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stories = list(filter(None, [i if i.get("audience") == "everyone" else None for i in stories])) |
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return [str(i.get("id")) for i in stories or []] |
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def story(self, ref): |
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stories = api(lambda x: api_stories(x, self.BASE_DOMAIN)) |
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stories = list(filter(None, [i if i.get("audience") == "everyone" else None for i in stories])) |
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stories = list(filter(None, [i if str(i.get('id')) == ref else None for i in stories])) |
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if len(stories) == 0: |
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return False |
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r = stories[0] |
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if not r: |
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return False |
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s = {} |
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s['author'] = '' |
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s['author_link'] = '' |
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s['date'] = unix(r.get('post_date')) |
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s['score'] = r.get('reactions').get('❤') |
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s['title'] = r.get('title', '') |
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s['link'] = r.get('canonical_url', '') |
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s['url'] = r.get('canonical_url', '') |
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comments = api(lambda x: api_comments(x, self.BASE_DOMAIN), r.get('id')) |
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s['comments'] = [comment(i) for i in comments.get('comments')] |
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s['comments'] = list(filter(bool, s['comments'])) |
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s['num_comments'] = r.get('comment_count', 0) |
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authors = list(filter(None, [self._bylines(byline) for byline in r.get('publishedBylines')])) |
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if len(authors): |
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s['author'] = authors[0].get('name') |
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s['author_link'] = authors[0].get('link') |
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return s |
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def _bylines(self, b): |
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if 'id' not in b: |
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return None |
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a = {} |
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a['name'] = b.get('name') |
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a['link'] = author_link(b.get('id'), self.BASE_DOMAIN) |
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return a |
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class Top: |
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def feed(self): |
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stories = api(SUBSTACK_API_TOP_POSTS) |
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stories = list(filter(None, [i if i.get("audience") == "everyone" else None for i in stories])) |
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return [str(i.get("id")) for i in stories or []] |
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def story(self, ref): |
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stories = api(SUBSTACK_API_TOP_POSTS) |
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stories = list(filter(None, [i if i.get("audience") == "everyone" else None for i in stories])) |
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stories = list(filter(None, [i if str(i.get('id')) == ref else None for i in stories])) |
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if len(stories) == 0: |
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return False |
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r = stories[0] |
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if not r: |
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return False |
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s = {} |
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pub = r.get('pub') |
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base_url = pub.get('base_url') |
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s['author'] = pub.get('author_name') |
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s['author_link'] = author_link(pub.get('author_id'), base_url) |
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s['date'] = unix(r.get('post_date')) |
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s['score'] = r.get('score') |
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s['title'] = r.get('title', '') |
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s['link'] = r.get('canonical_url', '') |
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s['url'] = r.get('canonical_url', '') |
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comments = api(lambda x: api_comments(x, base_url), r.get('id')) |
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s['comments'] = [comment(i) for i in comments.get('comments')] |
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s['comments'] = list(filter(bool, s['comments'])) |
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s['num_comments'] = r.get('comment_count', 0) |
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return s |
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top = Top() |
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# scratchpad so I can quickly develop the parser |
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if __name__ == '__main__': |
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top_posts = top.feed() |
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print(top.story(top_posts[0])) |
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webworm = Publication("https://www.webworm.co/") |
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posts = webworm.feed() |
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print(posts[:1]) |
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print(webworm.story(posts[0])) |