add enguagement tweet & fix filtered words
This commit is contained in:
@@ -240,7 +240,8 @@ def curate_from_reddit():
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logging.info(f"Trying Reddit Post: {title} from {source_name}")
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logging.info(f"Trying Reddit Post: {title} from {source_name}")
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image_query, relevance_keywords, skip = smart_image_and_filter(title, summary)
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image_query, relevance_keywords, skip = smart_image_and_filter(title, summary)
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if skip or any(keyword in title.lower() or keyword in summary.lower() for keyword in RECIPE_KEYWORDS + ["homemade"]):
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# Check both raw_title and title for keywords
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if skip or any(keyword in title.lower() or keyword in raw_title.lower() for keyword in RECIPE_KEYWORDS + ["homemade"]):
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print(f"Skipping filtered Reddit post: {title}")
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print(f"Skipping filtered Reddit post: {title}")
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logging.info(f"Skipping filtered Reddit post: {title}")
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logging.info(f"Skipping filtered Reddit post: {title}")
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attempts += 1
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attempts += 1
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@@ -316,7 +317,7 @@ def curate_from_reddit():
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uploader=uploader,
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uploader=uploader,
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pixabay_url=pixabay_url,
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pixabay_url=pixabay_url,
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interest_score=interest_score,
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interest_score=interest_score,
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should_post_tweet=True # Post the X tweet on the first call
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should_post_tweet=True
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)
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)
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finally:
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finally:
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is_posting = False
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is_posting = False
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@@ -338,7 +339,7 @@ def curate_from_reddit():
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pixabay_url=pixabay_url,
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pixabay_url=pixabay_url,
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interest_score=interest_score,
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interest_score=interest_score,
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post_id=post_id,
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post_id=post_id,
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should_post_tweet=False # Skip X tweet on the update call
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should_post_tweet=False
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)
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)
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finally:
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finally:
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is_posting = False
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is_posting = False
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@@ -0,0 +1,61 @@
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import random
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import logging
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from datetime import datetime
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import openai
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from foodie_utils import post_tweet, AUTHORS
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# Setup logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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def generate_engagement_tweet(author):
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author_handle = author["handle"]
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prompt = (
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f"Generate a concise tweet (under 280 characters) for {author_handle}. "
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f"Create an engaging food-related question or statement to spark interaction. "
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f"Include a call to action to follow {author_handle} or like the tweet, and mention InsiderFoodie.com with a link to https://insiderfoodie.com. "
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f"Avoid using the word 'elevate'—use more humanized language like 'level up' or 'bring to life'. "
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f"Do not include emojis, hashtags, or reward-driven incentives (e.g., giveaways)."
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)
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try:
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response = openai.ChatCompletion.create(
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model="gpt-4o",
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messages=[
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{"role": "system", "content": "You are a social media expert crafting engaging tweets."},
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{"role": "user", "content": prompt}
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],
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max_tokens=100,
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temperature=0.7
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)
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tweet = response.choices[0].message.content.strip()
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if len(tweet) > 280:
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tweet = tweet[:277] + "..."
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return tweet
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except Exception as e:
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logging.warning(f"Failed to generate engagement tweet for {author['username']}: {e}")
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# Fallback templates
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engagement_templates = [
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"Whats the most mouthwatering dish youve seen this week Share below and follow {handle} for more foodie ideas on InsiderFoodie.com Link: https://insiderfoodie.com",
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"Food lovers unite Whats your go to comfort food Tell us and like this tweet for more tasty ideas from {handle} on InsiderFoodie.com Link: https://insiderfoodie.com",
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"Ever tried a dish that looked too good to eat Share your favorites and follow {handle} for more culinary trends on InsiderFoodie.com Link: https://insiderfoodie.com",
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"What food trend are you loving right now Let us know and like this tweet to keep up with {handle} on InsiderFoodie.com Link: https://insiderfoodie.com"
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]
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template = random.choice(engagement_templates)
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return template.format(handle=author_handle)
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def post_engagement_tweet():
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for author in AUTHORS:
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tweet = generate_engagement_tweet(author)
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logging.info(f"Posting engagement tweet for {author['username']}: {tweet}")
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if post_tweet(author, tweet):
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logging.info(f"Successfully posted engagement tweet for {author['username']}")
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else:
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logging.warning(f"Failed to post engagement tweet for {author['username']}")
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if __name__ == "__main__":
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# Run only on Mondays
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if datetime.now(timezone.utc).weekday() == 0: # Monday (0 = Monday)
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post_engagement_tweet()
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else:
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logging.info("Not Monday - skipping engagement tweet posting")
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+23
-13
@@ -28,17 +28,27 @@ def get_dynamic_hook(article_title):
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logging.error(f"Dynamic hook generation failed: {e}")
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logging.error(f"Dynamic hook generation failed: {e}")
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return "This food scoop will blow your mind!"
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return "This food scoop will blow your mind!"
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def select_best_cta(article_title, article_summary, post_url):
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def select_best_cta(title, content, post_url=None):
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# Use the provided post_url if available, otherwise a placeholder to be updated later
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cta_templates = [
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share_url_base = post_url if post_url else "https://insiderfoodie.com/placeholder"
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# Share-focused CTAs
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share_url = f"https://x.com/intent/tweet?url={quote(share_url_base)}&text={quote(get_dynamic_hook(article_title))}"
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"Cant Get Enough Share This Now On <a href='https://x.com/intent/tweet?url={url}&text={text}'><i class='tsi tsi-twitter'></i></a>",
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cta_options = [
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"This Blew Your Mind Right Tweet It On <a href='https://x.com/intent/tweet?url={url}&text={text}'><i class='tsi tsi-twitter'></i></a>",
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f"Can’t Get Enough? Share This Now On <a href='{share_url}'><i class='tsi tsi-twitter'></i></a>!",
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"Ready to Spill the Tea Share On <a href='https://x.com/intent/tweet?url={url}&text={text}'><i class='tsi tsi-twitter'></i></a>",
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f"Obsessed Yet? Spread the Word On <a href='{share_url}'><i class='tsi tsi-twitter'></i></a>!",
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"Too Wild to Keep Quiet Post It On <a href='https://x.com/intent/tweet?url={url}&text={text}'><i class='tsi tsi-twitter'></i></a>",
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f"This Blew Your Mind, Right? Tweet It On <a href='{share_url}'><i class='tsi tsi-twitter'></i></a>!",
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# Like-focused CTAs
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f"Ready to Spill the Tea? Share On <a href='{share_url}'><i class='tsi tsi-twitter'></i></a>!",
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"Love This Foodie Find Hit That Like Button",
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f"Too Wild to Keep Quiet? Post It On <a href='{share_url}'><i class='tsi tsi-twitter'></i></a>!"
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"Think This Dish Is a Game Changer Show Some Love With a Like",
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# Follow-focused CTAs
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"Hungry for More Foodie Insights Follow Us for the Latest Trends",
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"Dont Miss Out on Foodie Updates Follow Us Today"
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]
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]
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selected_cta = random.choice(cta_options)
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logging.info(f"Selected random CTA: {selected_cta}")
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hook = get_dynamic_hook(title).strip()
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return selected_cta
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hook = urllib.parse.quote(hook)
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url = post_url if post_url else "https://insiderfoodie.com/placeholder"
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url = urllib.parse.quote(url)
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cta = random.choice(cta_templates)
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if "https://x.com/intent/tweet" in cta:
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cta = cta.format(url=url, text=hook)
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return cta
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+27
-25
@@ -122,33 +122,35 @@ def save_post_counts(counts):
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logging.info("Saved post counts to x_post_counts.json")
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logging.info("Saved post counts to x_post_counts.json")
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def generate_article_tweet(author, post, persona):
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def generate_article_tweet(author, post, persona):
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persona_config = PERSONA_CONFIGS[persona]
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title = post["title"]
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base_prompt = persona_config["x_prompt"].format(
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url = post["url"]
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description=persona_config["description"],
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author_handle = f"@{author['username']}"
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tone=persona_config["tone"]
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# Base tweet content
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prompt = (
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f"Generate a concise tweet (under 280 characters) for {author_handle} using the persona '{persona}'. "
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f"Summarize the article '{title}' and include the link '{url}'. "
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f"Highlight the article's appeal, make it engaging, and encourage interaction. "
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f"Always mention 'InsiderFoodie.com' in the tweet. "
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f"Avoid using the word 'elevate'—use more humanized language like 'level up' or 'bring to life'. "
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f"Do not include hashtags or emojis."
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)
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)
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prompt = base_prompt.replace(
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"For article tweets, include the article title, a quirky hook, and the URL.",
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response = openai.ChatCompletion.create(
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f"Generate an article tweet including the title '{post['title']}', a quirky hook, and the URL '{post['url']}'."
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model=SUMMARY_MODEL,
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messages=[
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{"role": "system", "content": "You are a social media expert crafting engaging tweets."},
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{"role": "user", "content": prompt}
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],
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max_tokens=100,
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temperature=0.7
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)
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)
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try:
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response = client.chat.completions.create(
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tweet = response.choices[0].message.content.strip()
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model=LIGHT_TASK_MODEL,
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if len(tweet) > 280:
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messages=[
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tweet = tweet[:277] + "..."
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{"role": "system", "content": prompt},
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{"role": "user", "content": f"Generate tweet for {post['title']}."}
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return tweet
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],
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max_tokens=100,
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temperature=0.9
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)
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tweet = response.choices[0].message.content.strip()
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if len(tweet) > 280:
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tweet = tweet[:277] + "..."
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logging.info(f"Generated article tweet for {author['username']}: {tweet}")
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return tweet
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except Exception as e:
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logging.error(f"Failed to generate article tweet for {author['username']}: {e}")
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return f"This trend is fire! Check out {post['title']} at {post['url']} #Foodie"
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def post_tweet(author, tweet):
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def post_tweet(author, tweet):
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credentials = next((cred for cred in X_API_CREDENTIALS if cred["username"] == author["username"]), None)
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credentials = next((cred for cred in X_API_CREDENTIALS if cred["username"] == author["username"]), None)
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@@ -0,0 +1,130 @@
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import json
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from datetime import datetime, timedelta
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import logging
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import random
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import openai
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from foodie_utils import post_tweet, AUTHORS
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# Setup logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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RECENT_POSTS_FILE = "/home/shane/foodie_automator/recent_posts.json"
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def load_recent_posts():
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posts = []
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if not os.path.exists(RECENT_POSTS_FILE):
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return posts
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with open(RECENT_POSTS_FILE, 'r') as f:
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for line in f:
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if line.strip():
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try:
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entry = json.loads(line.strip())
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posts.append(entry)
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except json.JSONDecodeError as e:
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logging.warning(f"Skipping invalid JSON line in {RECENT_POSTS_FILE}: {e}")
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return posts
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def filter_posts_for_week(posts, start_date, end_date):
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filtered_posts = []
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for post in posts:
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timestamp = datetime.fromisoformat(post["timestamp"])
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if start_date <= timestamp <= end_date:
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filtered_posts.append(post)
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return filtered_posts
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def generate_intro_tweet(author):
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author_handle = author["handle"]
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prompt = (
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f"Generate a concise tweet (under 280 characters) for {author_handle}. "
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f"Introduce a thread of their top 10 foodie posts of the week on InsiderFoodie.com. "
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f"Make it engaging, create curiosity, and include a call to action to visit InsiderFoodie.com, follow {author_handle}, or like the thread. "
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f"Avoid using the word 'elevate'—use more humanized language like 'level up' or 'bring to life'. "
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f"Do not include emojis, hashtags, or reward-driven incentives (e.g., giveaways)."
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)
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try:
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response = openai.ChatCompletion.create(
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model="gpt-4o",
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messages=[
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{"role": "system", "content": "You are a social media expert crafting engaging tweets."},
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{"role": "user", "content": prompt}
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],
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max_tokens=100,
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temperature=0.7
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)
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tweet = response.choices[0].message.content.strip()
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if len(tweet) > 280:
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tweet = tweet[:277] + "..."
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return tweet
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except Exception as e:
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logging.warning(f"Failed to generate intro tweet for {author['username']}: {e}")
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# Fallback template
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return (
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f"This weeks top 10 foodie finds by {author_handle} Check out the best on InsiderFoodie.com "
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f"Follow {author_handle} for more and like this thread to stay in the loop Visit us at https://insiderfoodie.com"
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)
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def post_weekly_thread():
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# Determine the date range (Monday to Sunday of the past week)
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today = datetime.now(timezone.utc)
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days_since_monday = (today.weekday() + 1) % 7 + 7 # Go back to previous Monday
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start_date = (today - timedelta(days=days_since_monday)).replace(hour=0, minute=0, second=0, microsecond=0)
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end_date = start_date + timedelta(days=6, hours=23, minutes=59, seconds=59)
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logging.info(f"Fetching posts from {start_date} to {end_date}")
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# Load and filter posts
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all_posts = load_recent_posts()
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weekly_posts = filter_posts_for_week(all_posts, start_date, end_date)
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# Group posts by author
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posts_by_author = {}
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for post in weekly_posts:
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author = post["author"]
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if author not in posts_by_author:
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posts_by_author[author] = []
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posts_by_author[author].append(post)
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# For each author, post a thread
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for author in AUTHORS:
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author_posts = posts_by_author.get(author["username"], [])
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if not author_posts:
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logging.info(f"No posts found for {author['username']} this week")
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continue
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# Sort by interest score and take top 10
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author_posts.sort(key=lambda x: x.get("interest_score", 0), reverse=True)
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top_posts = author_posts[:10]
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if not top_posts:
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continue
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# First tweet: Intro with CTA (generated by GPT)
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intro_tweet = generate_intro_tweet(author)
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logging.info(f"Posting intro tweet for {author['username']}: {intro_tweet}")
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intro_response = post_tweet(author, intro_tweet)
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if not intro_response:
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logging.warning(f"Failed to post intro tweet for {author['username']}")
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continue
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intro_tweet_id = intro_response.get("id")
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# Post each top post as a reply in the thread
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for i, post in enumerate(top_posts, 1):
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post_tweet_content = (
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f"{i}. {post['title']} Link: {post['url']}"
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)
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logging.info(f"Posting thread reply {i} for {author['username']}: {post_tweet_content}")
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post_tweet(author, post_tweet_content, reply_to_id=intro_tweet_id)
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logging.info(f"Successfully posted weekly thread for {author['username']}")
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if __name__ == "__main__":
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# Run only on Sundays
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if datetime.now(timezone.utc).weekday() == 6: # Sunday (0 = Monday, 6 = Sunday)
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post_weekly_thread()
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else:
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logging.info("Not Sunday - skipping weekly thread posting")
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Reference in New Issue
Block a user