app.py

import os
import threading
from flask import Flask, render_template, request, jsonify
from rss_processor import fetch_rss_feeds, process_and_store_articles, vector_db, download_from_hf_hub, upload_to_hf_hub, clean_text
import logging
import time
from datetime import datetime
import hashlib

app = Flask(__name__)

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Global flag to track background loading
loading_complete = False
last_update_time = time.time()

def load_feeds_in_background():
    global loading_complete, last_update_time
    try:
        logger.info("Starting background RSS feed fetch")
        articles = fetch_rss_feeds()
        logger.info(f"Fetched {len(articles)} articles")
        process_and_store_articles(articles)
        last_update_time = time.time()
        logger.info("Background feed processing complete")
        upload_to_hf_hub()
        loading_complete = True
    except Exception as e:
        logger.error(f"Error in background feed loading: {e}")
        loading_complete = True

@app.route('/')
def index():
    global loading_complete, last_update_time

    db_exists = os.path.exists("chroma_db") and vector_db.get().get('documents')
    if not db_exists:
        loading_complete = False
        logger.info("Downloading Chroma DB from Hugging Face Hub...")
        download_from_hf_hub()
        threading.Thread(target=load_feeds_in_background, daemon=True).start()
    elif not loading_complete:
        pass
    else:
        loading_complete = True

    try:
        all_docs = vector_db.get(include=['documents', 'metadatas'])
        total_docs = len(all_docs['documents']) if all_docs.get('documents') else 0
        logger.info(f"Total articles in DB: {total_docs}")
        if not all_docs.get('metadatas'):
            logger.info("No articles in DB yet")
            return render_template("index.html", categorized_articles={}, has_articles=False, loading=not loading_complete)

        # Process and categorize articles with strict deduplication
        enriched_articles = []
        seen_keys = set()
        for doc, meta in zip(all_docs['documents'], all_docs['metadatas']):
            if not meta:
                continue
            title = meta.get("title", "No Title")
            link = meta.get("link", "")
            description = meta.get("original_description", "No Description")
            published = meta.get("published", "Unknown Date").strip()

            # Clean and normalize all fields
            title = clean_text(title)
            link = clean_text(link)
            description = clean_text(description)

            # Use a robust key with cleaned fields and description hash for deduplication
            description_hash = hashlib.sha256(description.encode('utf-8')).hexdigest()
            key = f"{title}|{link}|{published}|{description_hash}"
            if key not in seen_keys:
                seen_keys.add(key)
                try:
                    published = datetime.strptime(published, "%Y-%m-%d %H:%M:%S").isoformat() if "Unknown" not in published else published
                except (ValueError, TypeError):
                    published = "1970-01-01T00:00:00"
                enriched_articles.append({
                    "title": title,
                    "link": link,
                    "description": description,
                    "category": meta.get("category", "Uncategorized"),
                    "published": published,
                    "image": meta.get("image", "svg"),
                })
            else:
                logger.debug(f"Duplicate found in retrieval: {key}")

        # Sort by published date (stable sort)
        enriched_articles.sort(key=lambda x: x["published"], reverse=True)

        # Group by category and limit to 10 most recent per category
        categorized_articles = {}
        for article in enriched_articles:
            cat = article["category"]
            if cat not in categorized_articles:
                categorized_articles[cat] = []
            categorized_articles[cat].append(article)

        # Sort categories alphabetically
        categorized_articles = dict(sorted(categorized_articles.items(), key=lambda x: x[0].lower()))

        # Limit to 10 most recent per category and log top 2 for debugging
        for cat in categorized_articles:
            categorized_articles[cat] = sorted(categorized_articles[cat], key=lambda x: x["published"], reverse=True)[:10]
            if len(categorized_articles[cat]) >= 2:
                logger.debug(f"Category {cat} top 2: {categorized_articles[cat][0]['title']} | {categorized_articles[cat][1]['title']}")

        logger.info(f"Displaying articles: {sum(len(articles) for articles in categorized_articles.values())} total")
        return render_template("index.html", 
                              categorized_articles=categorized_articles, 
                              has_articles=True, 
                              loading=not loading_complete)
    except Exception as e:
        logger.error(f"Error retrieving articles: {e}")
        return render_template("index.html", categorized_articles={}, has_articles=False, loading=not loading_complete)

@app.route('/search', methods=['POST'])
def search():
    query = request.form.get('search')
    if not query:
        logger.info("Empty search query received")
        return jsonify({"categorized_articles": {}, "has_articles": False, "loading": False})

    try:
        logger.info(f"Searching for: {query}")
        results = vector_db.similarity_search(query, k=10)
        logger.info(f"Search returned {len(results)} results")
        
        enriched_articles = []
        seen_keys = set()
        for doc in results:
            meta = doc.metadata
            title = meta.get("title", "No Title")
            link = meta.get("link", "")
            description = meta.get("original_description", "No Description")
            published = meta.get("published", "Unknown Date").strip()

            # Clean and normalize all fields
            title = clean_text(title)
            link = clean_text(link)
            description = clean_text(description)

            description_hash = hashlib.sha256(description.encode('utf-8')).hexdigest()
            key = f"{title}|{link}|{published}|{description_hash}"
            if key not in seen_keys:
                seen_keys.add(key)
                enriched_articles.append({
                    "title": title,
                    "link": link,
                    "description": description,
                    "category": meta.get("category", "Uncategorized"),
                    "published": published,
                    "image": meta.get("image", "svg"),
                })

        categorized_articles = {}
        for article in enriched_articles:
            cat = article["category"]
            categorized_articles.setdefault(cat, []).append(article)

        logger.info(f"Found {len(enriched_articles)} unique articles across {len(categorized_articles)} categories")
        return jsonify({
            "categorized_articles": categorized_articles,
            "has_articles": bool(enriched_articles),
            "loading": False
        })
    except Exception as e:
        logger.error(f"Search error: {e}")
        return jsonify({"categorized_articles": {}, "has_articles": False, "loading": False}), 500

@app.route('/check_loading')
def check_loading():
    global loading_complete, last_update_time
    if loading_complete:
        return jsonify({"status": "complete", "last_update": last_update_time})
    return jsonify({"status": "loading"}), 202

@app.route('/get_updates')
def get_updates():
    global last_update_time
    try:
        all_docs = vector_db.get(include=['documents', 'metadatas'])
        if not all_docs.get('metadatas'):
            return jsonify({"articles": [], "last_update": last_update_time})

        enriched_articles = []
        seen_keys = set()
        for doc, meta in zip(all_docs['documents'], all_docs['metadatas']):
            if not meta:
                continue
            title = meta.get("title", "No Title")
            link = meta.get("link", "")
            description = meta.get("original_description", "No Description")
            published = meta.get("published", "Unknown Date").strip()

            # Clean and normalize all fields
            title = clean_text(title)
            link = clean_text(link)
            description = clean_text(description)

            description_hash = hashlib.sha256(description.encode('utf-8')).hexdigest()
            key = f"{title}|{link}|{published}|{description_hash}"
            if key not in seen_keys:
                seen_keys.add(key)
                try:
                    published = datetime.strptime(published, "%Y-%m-%d %H:%M:%S").isoformat() if "Unknown" not in published else published
                except (ValueError, TypeError):
                    published = "1970-01-01T00:00:00"
                enriched_articles.append({
                    "title": title,
                    "link": link,
                    "description": description,
                    "category": meta.get("category", "Uncategorized"),
                    "published": published,
                    "image": meta.get("image", "svg"),
                })

        enriched_articles.sort(key=lambda x: x["published"], reverse=True)
        categorized_articles = {}
        for article in enriched_articles:
            cat = article["category"]
            if cat not in categorized_articles:
                categorized_articles[cat] = []
            key = f"{article['title']}|{article['link']}|{article['published']}"
            if key not in [f"{a['title']}|{a['link']}|{a['published']}" for a in categorized_articles[cat]]:
                categorized_articles[cat].append(article)

        # Limit to 10 most recent per category with final deduplication
        for cat in categorized_articles:
            unique_articles = []
            seen_cat_keys = set()
            for article in sorted(categorized_articles[cat], key=lambda x: x["published"], reverse=True):
                key = f"{clean_text(article['title'])}|{clean_text(article['link'])}|{article['published']}"
                if key not in seen_cat_keys:
                    seen_cat_keys.add(key)
                    unique_articles.append(article)
            categorized_articles[cat] = unique_articles[:10]

        return jsonify({"articles": categorized_articles, "last_update": last_update_time})
    except Exception as e:
        logger.error(f"Error fetching updates: {e}")
        return jsonify({"articles": {}, "last_update": last_update_time}), 500

@app.route('/get_all_articles/<category>')
def get_all_articles(category):
    try:
        all_docs = vector_db.get(include=['documents', 'metadatas'])
        if not all_docs.get('metadatas'):
            return jsonify({"articles": [], "category": category})

        enriched_articles = []
        seen_keys = set()
        for doc, meta in zip(all_docs['documents'], all_docs['metadatas']):
            if not meta or meta.get("category") != category:
                continue
            title = meta.get("title", "No Title")
            link = meta.get("link", "")
            description = meta.get("original_description", "No Description")
            published = meta.get("published", "Unknown Date").strip()

            # Clean and normalize all fields
            title = clean_text(title)
            link = clean_text(link)
            description = clean_text(description)

            description_hash = hashlib.sha256(description.encode('utf-8')).hexdigest()
            key = f"{title}|{link}|{published}|{description_hash}"
            if key not in seen_keys:
                seen_keys.add(key)
                try:
                    published = datetime.strptime(published, "%Y-%m-%d %H:%M:%S").isoformat() if "Unknown" not in published else published
                except (ValueError, TypeError):
                    published = "1970-01-01T00:00:00"
                enriched_articles.append({
                    "title": title,
                    "link": link,
                    "description": description,
                    "category": meta.get("category", "Uncategorized"),
                    "published": published,
                    "image": meta.get("image", "svg"),
                })

        enriched_articles.sort(key=lambda x: x["published"], reverse=True)
        return jsonify({"articles": enriched_articles, "category": category})
    except Exception as e:
        logger.error(f"Error fetching all articles for category {category}: {e}")
        return jsonify({"articles": [], "category": category}), 500
@app.route('/card')
def card_load():
    return render_template("card.html")

    
if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860)