app.py

import os
from flask import Flask, render_template, request
from rss_processor import fetch_rss_feeds, process_and_store_articles, vector_db

app = Flask(__name__)

@app.route('/', methods=['GET', 'POST'])
def index():
    articles = fetch_rss_feeds()
    process_and_store_articles(articles)
    stored_docs = vector_db.similarity_search("news", k=len(articles))
    enriched_articles = [
        {
            "title": doc.metadata["title"],
            "link": doc.metadata["link"],
            "summary": doc.page_content,
            "category": doc.metadata["category"],
            "sentiment": doc.metadata["sentiment"],
            "published": doc.metadata["published"],
        }
        for doc in stored_docs
    ]

    if request.method == 'POST':
        query = request.form.get('search')
        if query:
            results = vector_db.similarity_search(query, k=10)
            enriched_articles = [
                {
                    "title": doc.metadata["title"],
                    "link": doc.metadata["link"],
                    "summary": doc.page_content,
                    "category": doc.metadata["category"],
                    "sentiment": doc.metadata["sentiment"],
                    "published": doc.metadata["published"],
                }
                for doc in results
            ]

    categorized_articles = {}
    for article in enriched_articles:
        cat = article["category"]
        if cat not in categorized_articles:
            categorized_articles[cat] = []
        categorized_articles[cat].append(article)

    return render_template("index.html", categorized_articles=categorized_articles)

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