Updated open API Syntax

foodie_weekly_thread.py

@@ -2,12 +2,15 @@ import json
 from datetime import datetime, timedelta
 import logging
 import random
-import openai
+from openai import OpenAI  # Add this import
 from foodie_utils import post_tweet, AUTHORS, SUMMARY_MODEL
 
 # Setup logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
+# Initialize OpenAI client
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
 RECENT_POSTS_FILE = "/home/shane/foodie_automator/recent_posts.json"
 
 def load_recent_posts():
@@ -45,7 +48,7 @@ def generate_intro_tweet(author):
     )
     
     try:
-        response = openai.ChatCompletion.create(
+        response = client.chat.completions.create(
             model=SUMMARY_MODEL,
             messages=[
                 {"role": "system", "content": "You are a social media expert crafting engaging tweets."},
@@ -82,7 +85,7 @@ def post_weekly_thread():
     # Group posts by author
     posts_by_author = {}
     for post in weekly_posts:
-        author = post["author"]
+        author = post["author_username"]  # Updated to match the key in recent_posts.json
         if author not in posts_by_author:
             posts_by_author[author] = []
         posts_by_author[author].append(post)
@@ -94,8 +97,8 @@ def post_weekly_thread():
             logging.info(f"No posts found for {author['username']} this week")
             continue
         
-        # Sort by interest score and take top 10
-        author_posts.sort(key=lambda x: x.get("interest_score", 0), reverse=True)
+        # Sort by timestamp (as a proxy for interest_score) and take top 10
+        author_posts.sort(key=lambda x: x.get("timestamp", ""), reverse=True)
         top_posts = author_posts[:10]
         
         if not top_posts: