# foodie_x_poster.py
import json
import logging
import random
import time
import sys
import signal
import os
from datetime import datetime, timezone, timedelta
from openai import OpenAI
from foodie_config import OPENAI_API_KEY, AUTHORS, LIGHT_TASK_MODEL, PERSONA_CONFIGS, AUTHOR_BACKGROUNDS_FILE
from foodie_utils import load_json_file, post_tweet
from dotenv import load_dotenv

load_dotenv()

LOG_FILE = "/home/shane/foodie_automator/foodie_x_poster.log"
LOG_PRUNE_DAYS = 30

def setup_logging():
    if os.path.exists(LOG_FILE):
        with open(LOG_FILE, 'r') as f:
            lines = f.readlines()
        cutoff = datetime.now(timezone.utc) - timedelta(days=LOG_PRUNE_DAYS)
        pruned_lines = [line for line in lines if datetime.strptime(line[:19], '%Y-%m-%d %H:%M:%S').replace(tzinfo=timezone.utc) > cutoff]
        with open(LOG_FILE, 'w') as f:
            f.writelines(pruned_lines)
    logging.basicConfig(
        filename=LOG_FILE,
        level=logging.INFO,
        format="%(asctime)s - %(levelname)s - %(message)s",
        datefmt="%Y-%m-%d %H:%M:%S"
    )
    console_handler = logging.StreamHandler()
    console_handler.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s - %(message)s'))
    logging.getLogger().addHandler(console_handler)
    logging.info("Logging initialized for foodie_x_poster.py")

setup_logging()

client = OpenAI(api_key=OPENAI_API_KEY)

try:
    with open(AUTHOR_BACKGROUNDS_FILE, 'r') as f:
        AUTHOR_BACKGROUNDS = json.load(f)
except Exception as e:
    logging.error(f"Failed to load author_backgrounds.json: {e}")
    sys.exit(1)

is_posting = False

def signal_handler(sig, frame):
    logging.info("Received termination signal, checking if safe to exit...")
    if is_posting:
        logging.info("Currently posting, will exit after completion.")
    else:
        logging.info("Safe to exit immediately.")
        sys.exit(0)

signal.signal(signal.SIGTERM, signal_handler)
signal.signal(signal.SIGINT, signal_handler)

def generate_engagement_tweet(author, persona):
    background = next((bg for bg in AUTHOR_BACKGROUNDS if bg["username"] == author["username"]), {})
    if not background or "engagement_themes" not in background:
        logging.warning(f"No background or engagement themes found for {author['username']}")
        return "What food trends are you loving right now? Share your thoughts! #FoodieTrends"
    
    theme = random.choice(background["engagement_themes"])
    persona_config = PERSONA_CONFIGS[persona]
    base_prompt = persona_config["x_prompt"].format(
        description=persona_config["description"],
        tone=persona_config["tone"]
    )
    prompt = base_prompt.replace(
        "For engagement tweets, ask a question about food trends, foods, or articles to engage the public.",
        f"Generate an engagement tweet asking a question about {theme} to engage the public."
    )
    try:
        response = client.chat.completions.create(
            model=LIGHT_TASK_MODEL,
            messages=[
                {"role": "system", "content": prompt},
                {"role": "user", "content": f"Generate engagement tweet for {author['username']} about {theme}."}
            ],
            max_tokens=100,
            temperature=0.9
        )
        tweet = response.choices[0].message.content.strip()
        if len(tweet) > 280:
            tweet = tweet[:277] + "..."
        logging.info(f"Generated engagement tweet for {author['username']}: {tweet}")
        return tweet
    except Exception as e:
        logging.error(f"Failed to generate engagement tweet for {author['username']}: {e}")
        return f"What’s your take on {theme}? Let’s talk! #FoodieTrends"

def main():
    global is_posting
    logging.info("***** X Poster Launched *****")
    for author in AUTHORS:
        is_posting = True
        tweet = generate_engagement_tweet(author, author["persona"])
        post_tweet(author, tweet)
        is_posting = False
        time.sleep(random.uniform(3600, 7200))
    
    logging.info("X posting completed")
    return random.randint(600, 1800)

if __name__ == "__main__":
    sleep_time = main()
    logging.info(f"Sleeping for {sleep_time} seconds")
    time.sleep(sleep_time)