update realtime rate limit for X

foodie_weekly_thread.py

@@ -10,7 +10,7 @@ import time
 from datetime import datetime, timedelta, timezone
 import tweepy
 from openai import OpenAI
-from foodie_utils import post_tweet, AUTHORS, SUMMARY_MODEL, load_json_file
+from foodie_utils import post_tweet, AUTHORS, SUMMARY_MODEL, load_json_file, check_author_rate_limit
 from foodie_config import X_API_CREDENTIALS, RECENT_POSTS_FILE
 from dotenv import load_dotenv
 
@@ -310,9 +310,6 @@ def post_weekly_thread():
         if username in posts_by_author:
             posts_by_author[username].append(post)
     
-    # Load post counts to check limits
-    post_counts = load_post_counts()
-    
     # Post threads for each author
     for author in AUTHORS:
         username = author["username"]
@@ -321,21 +318,13 @@ def post_weekly_thread():
             logging.info(f"No posts found for {username}, skipping")
             continue
         
-        # Check daily limit (each thread will use 3 tweets: lead + 2 thread tweets)
-        author_count = next((entry for entry in post_counts if entry["username"] == username), None)
-        if not author_count:
-            logging.error(f"No post count entry for {username}, skipping")
+        # Check if the author can post before generating the thread
+        can_post, remaining, reset = check_author_rate_limit(author)
+        if not can_post:
+            reset_time = time.strftime('%Y-%m-%d %H:%M:%S', time.gmtime(reset)) if reset else "Unknown"
+            logging.info(f"Skipping weekly thread for {username} due to rate limit. Remaining: {remaining}, Reset at: {reset_time}")
             continue
-        if author_count["daily_count"] >= 15:
-            logging.warning(f"Daily post limit (15) reached for {username}, skipping")
-            continue
-        if author_count["daily_count"] + 3 > 15:
-            logging.warning(f"Posting thread for {username} would exceed daily limit (current: {author_count['daily_count']}, needed: 3), skipping")
-            continue
-        if author_count["monthly_count"] >= 500:
-            logging.warning(f"Monthly post limit (500) reached for {username}, skipping")
-            continue
-        
+
         # Select top 2 posts (to fit within 3-tweet limit: lead + 2 posts)
         author_posts = sorted(author_posts, key=lambda x: datetime.fromisoformat(x["timestamp"]), reverse=True)[:2]
         logging.info(f"Selected {len(author_posts)} posts for {username}")