# foodie_automator_google.py
import requests
import random
import time
import logging
import re
import os
import json
import signal
import sys
from datetime import datetime, timedelta, timezone
from openai import OpenAI
from urllib.parse import quote
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options
from selenium.common.exceptions import TimeoutException
from duckduckgo_search import DDGS
from foodie_config import (
    AUTHORS, RECIPE_KEYWORDS, PROMO_KEYWORDS, HOME_KEYWORDS, PRODUCT_KEYWORDS,
    PERSONA_CONFIGS, CATEGORIES, get_clean_source_name, X_API_CREDENTIALS
)
from foodie_utils import (
    load_json_file, save_json_file, get_image, generate_image_query,
    upload_image_to_wp, determine_paragraph_count, insert_link_naturally,
    is_interesting, generate_title_from_summary, summarize_with_gpt4o,
    generate_category_from_summary, post_to_wp, prepare_post_data,
    select_best_author, smart_image_and_filter, get_flickr_image,
    get_next_author_round_robin, check_author_rate_limit, update_system_activity
)
from foodie_hooks import get_dynamic_hook, get_viral_share_prompt
from dotenv import load_dotenv
import fcntl

load_dotenv()

# Define constants at the top
SCRIPT_NAME = "foodie_automator_google"
POSTED_TITLES_FILE = '/home/shane/foodie_automator/posted_google_titles.json'
USED_IMAGES_FILE = '/home/shane/foodie_automator/used_images.json'
EXPIRATION_HOURS = 24
IMAGE_EXPIRATION_DAYS = 7

is_posting = False
LOCK_FILE = "/home/shane/foodie_automator/locks/foodie_automator_google.lock"

# Load JSON files after constants are defined
posted_titles_data = load_json_file(POSTED_TITLES_FILE, EXPIRATION_HOURS)
posted_titles = set(entry["title"] for entry in posted_titles_data if "title" in entry)
used_images_data = load_json_file(USED_IMAGES_FILE, IMAGE_EXPIRATION_DAYS)
used_images = set(entry["title"] for entry in used_images_data if "title" in entry)

def signal_handler(sig, frame):
    logging.info("Received termination signal, marking script as stopped...")
    update_system_activity(SCRIPT_NAME, "stopped")
    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)

LOG_FILE = "/home/shane/foodie_automator/logs/foodie_automator_google.log"
LOG_PRUNE_DAYS = 30
MAX_RETRIES = 3
RETRY_BACKOFF = 2

def setup_logging():
    if os.path.exists(LOG_FILE):
        with open(LOG_FILE, 'r') as f:
            lines = f.readlines()
        
        log_entries = []
        current_entry = []
        timestamp_pattern = re.compile(r'^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}')
        
        for line in lines:
            if timestamp_pattern.match(line):
                if current_entry:
                    log_entries.append(''.join(current_entry))
                current_entry = [line]
            else:
                current_entry.append(line)
        
        if current_entry:
            log_entries.append(''.join(current_entry))
        
        cutoff = datetime.now(timezone.utc) - timedelta(days=LOG_PRUNE_DAYS)
        pruned_entries = []
        for entry in log_entries:
            try:
                timestamp = datetime.strptime(entry[:19], '%Y-%m-%d %H:%M:%S').replace(tzinfo=timezone.utc)
                if timestamp > cutoff:
                    pruned_entries.append(entry)
            except ValueError:
                logging.warning(f"Skipping malformed log entry (no timestamp): {entry[:50]}...")
                continue
        
        with open(LOG_FILE, 'w') as f:
            f.writelines(pruned_entries)
    
    logger = logging.getLogger()
    logger.setLevel(logging.INFO)
    file_handler = logging.FileHandler(LOG_FILE, mode='a')
    file_handler.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s - %(message)s'))
    logger.addHandler(file_handler)
    console_handler = logging.StreamHandler()
    console_handler.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s - %(message)s'))
    logger.addHandler(console_handler)
    logging.info("Logging initialized for foodie_automator_google.py")

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

def acquire_lock():
    os.makedirs(os.path.dirname(LOCK_FILE), exist_ok=True)
    lock_fd = open(LOCK_FILE, 'w')
    try:
        fcntl.flock(lock_fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
        lock_fd.write(str(os.getpid()))
        lock_fd.flush()
        return lock_fd
    except IOError:
        logging.info("Another instance of foodie_automator_google.py is running")
        sys.exit(0)

def parse_search_volume(volume_text):
    try:
        volume_part = volume_text.split('\n')[0].lower().strip().replace('+', '')
        if 'k' in volume_part:
            volume = float(volume_part.replace('k', '')) * 1000
        elif 'm' in volume_part:
            volume = float(volume_part.replace('m', '')) * 1000000
        else:
            volume = float(volume_part)
        return volume
    except (ValueError, AttributeError) as e:
        logging.warning(f"Could not parse search volume from '{volume_text}': {e}")
        return 0

def scrape_google_trends(geo='US'):
    chrome_options = Options()
    chrome_options.add_argument("--headless")
    chrome_options.add_argument("--no-sandbox")
    chrome_options.add_argument("--disable-dev-shm-usage")
    chrome_options.add_argument("user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/125.0.0.0 Safari/537.36")

    driver = None
    try:
        for attempt in range(MAX_RETRIES):
            try:
                driver = webdriver.Chrome(options=chrome_options)
                time.sleep(random.uniform(2, 5))
                url = f"https://trends.google.com/trending?geo={geo}&hours=24&sort=search-volume&category=5"
                logging.info(f"Navigating to {url} (attempt {attempt + 1})")
                driver.get(url)

                logging.info("Waiting for page to load...")
                WebDriverWait(driver, 60).until(
                    EC.presence_of_element_located((By.TAG_NAME, "tbody"))
                )
                break
            except TimeoutException:
                logging.warning(f"Timeout on attempt {attempt + 1} for geo={geo}")
                if attempt == MAX_RETRIES - 1:
                    logging.error(f"Failed after {MAX_RETRIES} attempts for geo={geo}")
                    return []
                time.sleep(RETRY_BACKOFF * (2 ** attempt))
                if driver:
                    driver.quit()
                continue

        driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
        time.sleep(2)

        trends = []
        rows = driver.find_elements(By.XPATH, "//tbody/tr")
        logging.info(f"Found {len(rows)} rows in tbody for geo={geo}")

        cutoff_date = datetime.now(timezone.utc) - timedelta(hours=24)
        for row in rows:
            try:
                columns = row.find_elements(By.TAG_NAME, "td")
                if len(columns) >= 3:
                    title = columns[1].text.strip()
                    search_volume_text = columns[2].text.strip()
                    search_volume = parse_search_volume(search_volume_text)
                    logging.info(f"Parsed trend: {title} with search volume: {search_volume}")
                    if title and search_volume >= 20000:
                        link = f"https://trends.google.com/trends/explore?q={quote(title)}&geo={geo}"
                        trends.append({
                            "title": title,
                            "link": link,
                            "search_volume": search_volume
                        })
                        logging.info(f"Added trend: {title} with search volume: {search_volume}")
                    else:
                        logging.info(f"Skipping trend: {title} (volume: {search_volume} < 20K or no title)")
                else:
                    logging.info(f"Skipping row with insufficient columns: {len(columns)}")
            except Exception as e:
                logging.warning(f"Row processing error: {e}")
                continue

        if trends:
            trends.sort(key=lambda x: x["search_volume"], reverse=True)
            logging.info(f"Extracted {len(trends)} trends for geo={geo}: {[t['title'] for t in trends]}")
        else:
            logging.warning(f"No valid trends found with search volume >= 20K for geo={geo}")
        return trends
    except Exception as e:
        logging.error(f"Unexpected error in scrape_google_trends: {e}", exc_info=True)
        return []
    finally:
        if driver:
            driver.quit()
            logging.info(f"Chrome driver closed for geo={geo}")

def fetch_duckduckgo_news_context(trend_title, hours=24):
    for attempt in range(MAX_RETRIES):
        try:
            with DDGS() as ddgs:
                results = ddgs.news(f"{trend_title} news", timelimit="d", max_results=5)
                titles = []
                for r in results:
                    try:
                        date_str = r["date"]
                        # Handle both ISO formats with and without timezone
                        if '+00:00' in date_str:
                            dt = datetime.strptime(date_str, "%Y-%m-%dT%H:%M:%S+00:00").replace(tzinfo=timezone.utc)
                        else:
                            dt = datetime.strptime(date_str, "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc)
                        if dt > (datetime.now(timezone.utc) - timedelta(hours=24)):
                            titles.append(r["title"].lower())
                    except ValueError as e:
                        logging.warning(f"Date parsing failed for '{date_str}': {e}")
                        continue
                context = " ".join(titles) if titles else "No recent news found within 24 hours"
                logging.info(f"DuckDuckGo News context for '{trend_title}': {context}")
                return context
        except Exception as e:
            logging.warning(f"DuckDuckGo News context fetch failed for '{trend_title}' (attempt {attempt + 1}): {e}")
            if attempt < MAX_RETRIES - 1:
                time.sleep(RETRY_BACKOFF * (2 ** attempt))
            continue
    logging.error(f"Failed to fetch DuckDuckGo News context for '{trend_title}' after {MAX_RETRIES} attempts")
    return trend_title

def curate_from_google_trends(posted_titles_data, posted_titles, used_images_data, used_images):
    try:
        logging.debug(f"Using {len(posted_titles)} posted titles and {len(used_images)} used images")

        # Define regions to scrape
        regions = ['US', 'GB', 'AU']
        all_trends = []

        # Scrape trends for each region
        for geo in regions:
            logging.info(f"Scraping Google Trends for geo={geo}")
            trends = scrape_google_trends(geo=geo)
            if trends:
                logging.info(f"Collected {len(trends)} trends for geo={geo}")
                all_trends.extend(trends)
            else:
                logging.warning(f"No trends collected for geo={geo}")

        # Remove duplicates by title and sort by search volume
        unique_trends = []
        seen_titles = set()
        for trend in all_trends:
            if trend["title"] not in seen_titles:
                unique_trends.append(trend)
                seen_titles.add(trend["title"])
        
        if not unique_trends:
            logging.info("No Google Trends data available across regions")
            sleep_time = random.randint(1200, 1800)  # 20–30 minutes
            return None, None, sleep_time

        # Sort trends by search volume in descending order
        unique_trends.sort(key=lambda x: x["search_volume"], reverse=True)
        logging.info(f"Total unique trends collected: {len(unique_trends)}")

        attempts = 0
        max_attempts = 10
        while attempts < max_attempts and unique_trends:
            trend = unique_trends.pop(0)
            title = trend["title"]
            link = trend.get("link", "")
            summary = trend.get("summary", "")
            source_name = trend.get("source", "Google Trends")
            original_source = f'<a href="{link}">{source_name}</a>'
            original_url = link  # Store for fallback

            if title in posted_titles:
                logging.info(f"Skipping already posted trend: {title}")
                attempts += 1
                continue

            # Check author availability before GPT calls
            author = get_next_author_round_robin()
            if not author:
                logging.info(f"Skipping trend '{title}' due to tweet rate limits for all authors")
                attempts += 1
                continue

            author_username = author["username"]
            logging.info(f"Selected author via round-robin: {author_username}")

            logging.info(f"Trying Google Trend: {title} from {source_name}")

            try:
                image_query, relevance_keywords, main_topic, skip, specific_term = smart_image_and_filter(title, summary)
            except Exception as e:
                logging.warning(f"Failed to process smart_image_and_filter for '{title}': {e}")
                attempts += 1
                continue

            if skip:
                logging.info(f"Skipping filtered trend: {title}")
                attempts += 1
                continue

            ddg_context = fetch_duckduckgo_news_context(title)
            scoring_content = f"{title}\n\n{summary}\n\nAdditional Context: {ddg_context}"
            interest_score = is_interesting(scoring_content)
            logging.info(f"Interest score for '{title}': {interest_score}")
            if interest_score < 6:
                logging.info(f"Trend Interest Too Low: {interest_score}")
                attempts += 1
                continue

            num_paragraphs = determine_paragraph_count(interest_score)
            extra_prompt = (
                f"Generate exactly {num_paragraphs} paragraphs.\n"
                f"FOCUS: Summarize ONLY the provided content, focusing on its specific topic and details without mentioning the original title.\n"
                f"Incorporate relevant insights from this additional context if available: {ddg_context}.\n"
                f"Do NOT introduce unrelated concepts unless in the content or additional context.\n"
                f"Expand on the core idea with relevant context about its appeal or significance in food trends.\n"
                f"Do not include emojis in the summary."
            )
            content_to_summarize = scoring_content
            final_summary = summarize_with_gpt4o(
                content_to_summarize,
                source_name,
                link,
                interest_score=interest_score,
                extra_prompt=extra_prompt
            )
            if not final_summary:
                logging.info(f"Summary failed for '{title}'")
                attempts += 1
                continue

            final_summary = insert_link_naturally(final_summary, source_name, link)

            post_data = {
                "title": generate_title_from_summary(final_summary),
                "content": final_summary,
                "status": "publish",
                "author": author_username,
                "categories": [generate_category_from_summary(final_summary)]
            }
            category = post_data["categories"][0]
            image_url, image_source, uploader, page_url = get_flickr_image(image_query, relevance_keywords, main_topic, specific_term)
            if not image_url:
                logging.warning(f"Flickr image fetch failed for '{image_query}', trying fallback")
                image_url, image_source, uploader, page_url = get_image(image_query, specific_term)
                if not image_url:
                    logging.warning(f"All image uploads failed for '{title}' - posting without image")
                    image_source = None
                    uploader = None
                    page_url = None

            hook = get_dynamic_hook(post_data["title"]).strip()
            share_prompt = get_viral_share_prompt(post_data["title"], final_summary)
            share_text = f"Check out this foodie gem! {post_data['title']}"
            share_text_encoded = quote(share_text)
            share_links_template = (
                f'<p>{share_prompt} '
                f'<a href="https://x.com/intent/tweet?url={{post_url}}&text={share_text_encoded}" target="_blank"><i class="tsi tsi-twitter"></i></a> '
                f'<a href="https://www.facebook.com/sharer/sharer.php?u={{post_url}}" target="_blank"><i class="tsi tsi-facebook"></i></a></p>'
            )
            post_data["content"] = f"{final_summary}\n\n{share_links_template}"

            global is_posting
            is_posting = True
            try:
                post_id, post_url = post_to_wp(
                    post_data=post_data,
                    category=category,
                    link=link,
                    author=author,
                    image_url=image_url,
                    original_source=original_source,
                    image_source=image_source,
                    uploader=uploader,
                    page_url=page_url,
                    interest_score=interest_score,
                    should_post_tweet=True,
                    summary=final_summary
                )
                if not post_id:
                    logging.warning(f"Failed to post to WordPress for '{title}', using original URL: {original_url}")
                    post_url = original_url  # Fallback to original trend URL
                else:
                    logging.info(f"Posted to WordPress for {author_username}: {post_url}")

                # Update post with actual post_url
                post_url_encoded = quote(post_url)
                share_links = share_links_template.format(post_url=post_url_encoded)
                post_data["content"] = f"{final_summary}\n\n{share_links}"
                post_data["post_id"] = post_id
                if post_id:
                    post_to_wp(
                        post_data=post_data,
                        category=category,
                        link=link,
                        author=author,
                        image_url=None,  # Skip image re-upload
                        original_source=original_source,
                        image_source=image_source,
                        uploader=uploader,
                        page_url=page_url,
                        interest_score=interest_score,
                        post_id=post_id,
                        should_post_tweet=False
                    )
            except Exception as e:
                logging.error(f"Failed to post to WordPress for '{title}': {e}", exc_info=True)
                post_url = original_url  # Fallback to original trend URL
            finally:
                is_posting = False

            timestamp = datetime.now(timezone.utc).isoformat()
            save_json_file(POSTED_TITLES_FILE, title, timestamp)
            posted_titles.add(title)
            logging.info(f"Successfully saved '{title}' to {POSTED_TITLES_FILE}")

            if image_url:
                save_json_file(USED_IMAGES_FILE, image_url, timestamp)
                used_images.add(image_url)
                logging.info(f"Saved image '{image_url}' to {USED_IMAGES_FILE}")

            logging.info(f"***** SUCCESS: Posted '{post_data['title']}' (ID: {post_id or 'N/A'}) from Google Trends *****")
            sleep_time = random.randint(1200, 1800)  # 20–30 minutes
            return post_data, category, sleep_time

        logging.info("No interesting Google Trend found after attempts")
        sleep_time = random.randint(1200, 1800)  # 20–30 minutes
        return None, None, sleep_time
    except Exception as e:
        logging.error(f"Unexpected error in curate_from_google_trends: {e}", exc_info=True)
        sleep_time = random.randint(1200, 1800)  # 20–30 minutes
        return None, None, sleep_time

def run_google_trends_automator():
    lock_fd = None
    try:
        lock_fd = acquire_lock()
        update_system_activity(SCRIPT_NAME, "running", os.getpid())  # Record start
        logging.info("***** Google Trends Automator Launched *****")
        # Load JSON files once
        posted_titles_data = load_json_file(POSTED_TITLES_FILE, EXPIRATION_HOURS)
        posted_titles = set(entry["title"] for entry in posted_titles_data)
        used_images_data = load_json_file(USED_IMAGES_FILE, IMAGE_EXPIRATION_DAYS)
        used_images = set(entry["title"] for entry in used_images_data if "title" in entry)
        post_data, category, sleep_time = curate_from_google_trends(posted_titles_data, posted_titles, used_images_data, used_images)
        if not post_data:
            logging.info("No postable Google Trend found")
        logging.info("Completed Google Trends run")
        update_system_activity(SCRIPT_NAME, "stopped")  # Record stop
        logging.info(f"Run completed, sleep_time: {sleep_time} seconds")
        return post_data, category, sleep_time
    except Exception as e:
        logging.error(f"Fatal error in run_google_trends_automator: {e}", exc_info=True)
        update_system_activity(SCRIPT_NAME, "stopped")  # Record stop on error
        sleep_time = random.randint(1200, 1800)  # 20–30 minutes
        logging.info(f"Run completed, sleep_time: {sleep_time} seconds")
        return None, None, sleep_time
    finally:
        if lock_fd:
            fcntl.flock(lock_fd, fcntl.LOCK_UN)
            lock_fd.close()
            os.remove(LOCK_FILE) if os.path.exists(LOCK_FILE) else None

if __name__ == "__main__":
    setup_logging()
    post_data, category, sleep_time = run_google_trends_automator()
    logging.info(f"Run completed, sleep_time: {sleep_time} seconds")