app.py

from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy
from textblob import TextBlob
from datetime import datetime
import os

app = Flask(__name__)


# Set up database
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///entries.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)


# Thought model
class Thought(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    content = db.Column(db.Text, nullable=False)  # Full journal
    sentiment = db.Column(db.String(20), nullable=False)  # Overall mood
    breakdown = db.Column(db.Text, nullable=False)  # Per sentence results
    date = db.Column(db.DateTime, default=datetime.utcnow)


# Homepage - show all past entries
@app.route('/')
def home():
    entries = Thought.query.order_by(Thought.date.desc()).all()


    # Count sentiment types and make sure they default to 0 if None
    total_positive = Thought.query.filter(Thought.sentiment.like('%Positive%')).count() or 0
    total_negative = Thought.query.filter(Thought.sentiment.like('%Negative%')).count() or 0
    total_neutral  = Thought.query.filter(Thought.sentiment.like('%Neutral%')).count() or 0


    return render_template('index.html',
                           entries=entries,
                           total_positive=total_positive,
                           total_negative=total_negative,
                           total_neutral=total_neutral)






# Analyze and store journal entry
@app.route('/analyze', methods=['POST'])
def analyze():
    text = request.form['text']
    blob = TextBlob(text)


    sentence_results = []
    total_polarity = 0
    

    for sentence in blob.sentences:
        polarity = sentence.sentiment.polarity
        total_polarity += polarity


        if polarity > 0:
            sentiment = "Positive 😊"
        elif polarity < 0:
            sentiment = "Negative 😡"
        else:
            sentiment = "Neutral 😐"


        sentence_results.append(f"{sentence} → {sentiment}")


    avg_polarity = total_polarity / len(blob.sentences)


    if avg_polarity > 0:
        overall_sentiment = "Positive 😊"
    elif avg_polarity < 0:
        overall_sentiment = "Negative 😡"
    else:
        overall_sentiment = "Neutral 😐"


    # Save entry with breakdown joined as one string
    new_thought = Thought(
        content=text,
        sentiment=overall_sentiment,
        breakdown='\n'.join(sentence_results)
    )
    db.session.add(new_thought)
    db.session.commit()


    return redirect('/')


    return render_template('result.html', text=text, results=sentence_results, overall=overall_sentiment)


# Auto-create database on first run
if __name__ == '__main__':
    with app.app_context():
                db.create_all()
    port = int(os.environ.get("PORT", 5000))
app.run(host="0.0.0.0", port=port)