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Delete trend_crawl.py
Browse files- trend_crawl.py +0 -89
trend_crawl.py
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from trendspy import Trends
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import streamlit as st
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from datetime import datetime, timezone, timedelta
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TREND_TOPICS = {
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1: "Autos and Vehicles",
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2: "Beauty and Fashion",
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3: "Business and Finance",
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20: "Climate",
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4: "Entertainment",
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5: "Food and Drink",
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6: "Games",
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7: "Health",
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8: "Hobbies and Leisure",
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9: "Jobs and Education",
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10: "Law and Government",
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11: "Other",
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13: "Pets and Animals",
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14: "Politics",
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15: "Science",
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16: "Shopping",
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17: "Sports",
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18: "Technology",
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19: "Travel and Transportation"
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}
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def get_trends_base():
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return Trends()
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def process_trends_for_country(country_code, trends_list, tr):
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trends_json = {}
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if country_code not in trends_json:
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trends_json[country_code] = {"All categories" : {}}
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for trend in trends_list:
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timestamp = convert_to_datetime(trend.started_timestamp[0])
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current_time = datetime.now(timezone.utc)
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if current_time - timestamp > timedelta(days=2):
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continue
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category = None
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for topic_id in trend.topics:
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if topic_id in TREND_TOPICS:
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category = TREND_TOPICS[topic_id]
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break
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if category is None:
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category = TREND_TOPICS[11]
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if category not in trends_json[country_code]:
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trends_json[country_code][category] = {}
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topic_name = trend.keyword
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try:
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news = tr.trending_now_news_by_ids(trend.news_tokens, max_news=3)
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articles = [
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{"title": article.title, "href": article.url}
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for article in news
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]
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except Exception as e:
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articles=[]
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trends_json[country_code]["All categories"][topic_name] = {
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"searchQueries": trend.volume,
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"articles": articles,
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"is_trend_finished": trend.is_trend_finished,
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}
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trends_json[country_code][category][topic_name] = {
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"searchQueries": trend.volume,
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"articles": articles,
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}
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return trends_json
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def convert_to_datetime( raw_time):
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"""Converts time in seconds to a datetime object with UTC timezone, if it exists."""
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return datetime.fromtimestamp(raw_time, tz=timezone.utc) if raw_time else None
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def get_trends(country):
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tr = get_trends_base()
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trends = tr.trending_now(geo=country)
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trends_json = process_trends_for_country(country, trends, tr)
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all_categories = trends_json[country]["All categories"]
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print(trends)
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return trends_json
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