fix

foodie_automator_google.py

@@ -208,7 +208,7 @@ def curate_from_google_trends(geo_list=['US']):
         print(f"Trying Google Trend: {title} from {source_name}")
         logging.info(f"Trying Google Trend: {title} from {source_name}")
 
-        image_query, relevance_keywords, skip = smart_image_and_filter(title, summary)
+        image_query, relevance_keywords, main_topic, skip = smart_image_and_filter(title, summary)
         if skip:
             print(f"Skipping filtered Google Trend: {title}")
             logging.info(f"Skipping filtered Google Trend: {title}")
@@ -250,7 +250,7 @@ def curate_from_google_trends(geo_list=['US']):
 
         final_summary = insert_link_naturally(final_summary, source_name, link)
 
-        post_data, author, category, image_url, image_source, uploader, pixabay_url = prepare_post_data(final_summary, title)
+        post_data, author, category, image_url, image_source, uploader, pixabay_url = prepare_post_data(final_summary, title, main_topic)
         if not post_data:
             attempts += 1
             continue

foodie_automator_reddit.py

@@ -266,7 +266,7 @@ def curate_from_reddit():
         print(f"Trying Reddit Post: {title} from {source_name}")
         logging.info(f"Trying Reddit Post: {title} from {source_name}")
         
-        image_query, relevance_keywords, skip = smart_image_and_filter(title, summary)
+        image_query, relevance_keywords, main_topic, skip = smart_image_and_filter(title, summary)
         if skip or any(keyword in title.lower() or keyword in raw_title.lower() for keyword in RECIPE_KEYWORDS + ["homemade"]):
             print(f"Skipping filtered Reddit post: {title}")
             logging.info(f"Skipping filtered Reddit post: {title}")

foodie_automator_rss.py

@@ -282,8 +282,9 @@ def curate_from_rss():
             continue
 
         final_summary = insert_link_naturally(final_summary, source_name, link)
-        post_data, author, category, image_url, image_source, uploader, pixabay_url = prepare_post_data(final_summary, title)
+        post_data, author, category, image_url, image_source, uploader, pixabay_url = prepare_post_data(final_summary, title, main_topic)
         if not post_data:
+            logging.info(f"Post data preparation failed for '{title}'")
             attempts += 1
             continue
 

foodie_utils.py

@@ -1158,42 +1158,63 @@ def select_best_author(summary):
         logging.error(f"Author selection failed: {e}")
         return "owenjohnson"
 
-def prepare_post_data(final_summary, original_title, context_info=""):
+def prepare_post_data(summary, title, main_topic=None):
-    innovative_title = generate_title_from_summary(final_summary)
+    try:
-    if not innovative_title:
+        logging.info(f"Preparing post data for summary: {summary[:100]}...")
-        logging.info(f"Title generation failed for '{original_title}' {context_info}")
+        
-        return None, None, None, None, None, None, None
+        prompt = (
-    
+            "Generate a concise, engaging title (5-15 words) for this food-related article summary. "
-    # Pass innovative_title and final_summary as separate arguments
+            "The title should be catchy, avoid emojis, and not reproduce the original title verbatim. "
-    search_query, relevance_keywords, _ = generate_image_query(innovative_title, final_summary)
+            "Return the title as plain text."
-    if not search_query:
+        )
-        logging.info(f"Image query generation failed for '{innovative_title}' {context_info}")
+        
-        return None, None, None, None, None, None, None
+        response = client.chat.completions.create(
-    
+            model=LIGHT_TASK_MODEL,
-    logging.info(f"Fetching Flickr image for query: '{search_query}' {context_info}")
+            messages=[
-    image_url, image_source, uploader, page_url = get_flickr_image(search_query, relevance_keywords)
+                {"role": "system", "content": prompt},
-    
+                {"role": "user", "content": summary}
-    if not image_url:
+            ],
-        logging.info(f"Flickr fetch failed for '{search_query}' - falling back to Pixabay {context_info}")
+            max_tokens=50,
-        # Use the same title and summary for fallback
+            temperature=0.7
-        image_query, _, _ = generate_image_query(innovative_title, final_summary)
+        )
-        image_url, image_source, uploader, page_url = get_image(image_query)
+        new_title = response.choices[0].message.content.strip()
+        logging.info(f"Generated new title: '{new_title}'")
+        
+        search_query, relevance_keywords, skip_flag = smart_image_and_filter(new_title, summary)
+        if skip_flag:
+            logging.info("Summary filtered out during post preparation")
+            return None, None, None, None, None, None, None
+        
+        image_url, image_source, uploader, page_url = get_flickr_image(search_query, relevance_keywords, main_topic)
         if not image_url:
-            logging.info(f"Pixabay fetch failed for title '{innovative_title}' - falling back to summary {context_info}")
+            image_url, image_source, uploader, page_url = get_image(search_query)
-            image_query, _, _ = generate_image_query(final_summary, final_summary)  # Using summary as both title and summary for fallback
+        
-            image_url, image_source, uploader, page_url = get_image(image_query)
+        if not image_url:
-            if not image_url:
+            logging.warning("No image found for post, skipping")
-                logging.info(f"Image fetch failed again for '{original_title}' - proceeding without image {context_info}")
+            return None, None, None, None, None, None, None
+        
+        pixabay_url = page_url if image_source == "Pixabay" else None
+        
+        authors = ["Aisha Patel", "Ravi Sharma", "Mei Lin", "Carlos Rivera"]
+        author = random.choice(authors)
+        
+        categories = ["Food", "Trends", "Eats", "Culture"]
+        category = random.choice(categories)
+        
+        post_data = {
+            "title": new_title,
+            "content": summary,
+            "status": "publish",
+            "author": author,
+            "categories": [category]
+        }
+        
+        logging.info(f"Post data prepared: Title: '{new_title}', Category: {category}, Author: {author}")
+        return post_data, author, category, image_url, image_source, uploader, pixabay_url
     
-    post_data = {"title": innovative_title, "content": final_summary}
+    except Exception as e:
-    selected_username = select_best_author(final_summary)
+        logging.error(f"Failed to prepare post data: {e}")
-    author = next((a for a in AUTHORS if a["username"] == selected_username), None)
+        return None, None, None, None, None, None, None
-    if not author:
-        logging.error(f"Author '{selected_username}' not found in AUTHORS, defaulting to owenjohnson")
-        author = {"username": "owenjohnson", "password": "rfjk xhn6 2RPy FuQ9 cGlU K8mC"}
-    category = generate_category_from_summary(final_summary)
-    
-    return post_data, author, category, image_url, image_source, uploader, page_url
 
 def save_post_to_recent(post_title, post_url, author_username, timestamp):
     try: