122 lines
3.6 KiB
Python
122 lines
3.6 KiB
Python
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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WEBWORM_DOMAIN = "https://www.webworm.co"
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API_STORIES = lambda x: f"{WEBWORM_DOMAIN}/api/v1/archive?sort=new&search=&offset=0&limit=100"
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#API_ITEM = lambda x : f'https://hn.algolia.com/api/v1/items/{x}'
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API_ITEM_COMMENTS = lambda x: f"{WEBWORM_DOMAIN}/api/v1/post/{x}/comments?all_comments=true&sort=best_first"
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SITE_LINK = lambda x: f"{WEBWORM_DOMAIN}/p/{x}"
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SITE_AUTHOR_LINK = lambda x : f"{WEBWORM_DOMAIN}/people/{x}"
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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 feed():
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stories = api(API_STORIES)
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stories = list(filter(None, [None if i.get("audience") == "only_paid" else i for i in stories]))
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return [str(i.get("id")) for i in stories or []]
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def bylines(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'] = SITE_AUTHOR_LINK(b.get('id'))
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return a
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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 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'] = o.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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def comment_count(i):
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alive = 1 if i['author'] else 0
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return sum([comment_count(c) for c in i['comments']]) + alive
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def story(ref):
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stories = api(API_STORIES)
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stories = list(filter(None, [None if i.get("audience") == "only_paid" else i 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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print("no items")
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return False
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r = stories[0]
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if not r:
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print("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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s['comments'] = [comment(i) for i in api(API_ITEM_COMMENTS, r.get('id'))]
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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, [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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if 'text' in r and r['text']:
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s['text'] = clean(r['text'] or '')
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return s
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# scratchpad so I can quickly develop the parser
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if __name__ == '__main__':
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stories = feed()
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print(stories)
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print(story(stories[0]))
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