adding new reddit group

tools/sentiment_analysis_util.py

@@ -68,6 +68,17 @@ def fetch_reddit_news(topic):
     if len(headlines)<10:
         for submission in reddit.subreddit('nova').search(topic): #,time_filter='week'):
             headlines.add(submission.title + ', Date: ' +datetime.utcfromtimestamp(int(submission.created_utc)).strftime('%Y-%m-%d %H:%M:%S') + ', URL:' +submission.url)
+
+    for submission in reddit.subreddit('washingtondc').search(topic,time_filter='week'):
+        headlines.add(submission.title + ', Date: ' +datetime.utcfromtimestamp(int(submission.created_utc)).strftime('%Y-%m-%d %H:%M:%S') + ', URL:' +submission.url)
+    
+    if len(headlines)<10:
+        for submission in reddit.subreddit('washingtondc').search(topic,time_filter='year'):
+            headlines.add(submission.title + ', Date: ' +datetime.utcfromtimestamp(int(submission.created_utc)).strftime('%Y-%m-%d %H:%M:%S') + ', URL:' +submission.url)
+    if len(headlines)<10:
+        for submission in reddit.subreddit('washingtondc').search(topic): #,time_filter='week'):
+            headlines.add(submission.title + ', Date: ' +datetime.utcfromtimestamp(int(submission.created_utc)).strftime('%Y-%m-%d %H:%M:%S') + ', URL:' +submission.url)
+
     return headlines
 
 def analyze_sentiment(article):
@@ -117,7 +128,7 @@ def generate_summary_of_sentiment(sentiment_analysis_results): #, dominant_senti
     )
 
     messages=[
-            {"role": "system", "content": "You are a helpful assistant that looks at all news articles, their sentiment, along with domainant sentiment and generates a summary rationalizing dominant sentiment. At the end of the summary, add URL links with dates for all the articles in the markdown format for streamlit. Example of adding the URLs: The Check out the links: [link](%s) % url, 2024-03-01 "},
+            {"role": "system", "content": "You are a helpful assistant that looks at all news articles with their sentiment, hyperlink and date in front of the article text, the articles MUST be ordered by date!, and generate a summary rationalizing dominant sentiment. At the end of the summary, add URL links with dates for all the articles in the markdown format for streamlit. Make sure the articles as well as the links are ordered descending by Date!!!!!!! Example of adding the URLs: The Check out the links: [link](%s) % url, 2024-03-01. "},
             {"role": "user", "content": f"News articles and their sentiments: {news_article_sentiment}"} #, and dominant sentiment is: {dominant_sentiment}"}
     ]
     response = model.invoke(messages)