app.py

from flask import Flask, request, jsonify, send_file
from analysis import get_comprehensive_analysis, generate_html_report
from pdf_generator import generate_pdf
import os
import uuid
import json

app = Flask(__name__)


@app.route("/")
def home():
    return "YOUV.AI Flask Skin Analysis API is running!", 200


# ---------------------------------------------------------
# 1️⃣ STEP ONE: ANALYSIS ONLY (returns JSON, no PDF)
# ---------------------------------------------------------
@app.route("/analyze", methods=["POST"])
def analyze():
    if "image" not in request.files:
        return jsonify({"success": False, "error": "No image uploaded"}), 400

    image = request.files["image"]
    temp_name = f"upload_{uuid.uuid4().hex}.jpg"
    image.save(temp_name)

    # Optional: Enable multi-pass via query parameter
    # Example: /analyze?multipass=true
    enable_multipass = request.args.get("multipass", "false").lower() == "true"

    analysis = get_comprehensive_analysis(temp_name, enable_multipass=enable_multipass)
    os.remove(temp_name)

    if not analysis:
        return jsonify({"success": False, "error": "Analysis failed"}), 500

    return jsonify({
        "success": True,
        "analysis": analysis
    }), 200


# ---------------------------------------------------------
# 2️⃣ STEP TWO: PDF GENERATION (frontend sends JSON here)
# ---------------------------------------------------------
@app.route("/generate_pdf", methods=["POST"])
def generate_pdf_endpoint():

    try:
        # Case 1: JSON in body
        data = request.get_json(silent=True)

        # Case 2: JSON string inside form-data
        if not data and "json_data" in request.form:
            try:
                data = json.loads(request.form["json_data"])
            except:
                return jsonify({
                    "success": False,
                    "error": "Invalid JSON inside 'json_data'"
                }), 400

        if not data or "analysis" not in data:
            return jsonify({
                "success": False,
                "error": "Missing 'analysis' JSON"
            }), 400

        analysis = data["analysis"]
        user_info = {
            "name": data.get("name", ""),
            "age": data.get("age", ""),
            "gender": data.get("gender", ""),
            "email": data.get("email", ""),
            "phone": data.get("phone", "")
        }

        # Generate HTML + PDF
        html_path = os.path.abspath(f"report_{uuid.uuid4().hex}.html")
        pdf_path = os.path.abspath(f"report_{uuid.uuid4().hex}.pdf")

        generate_html_report(analysis, user_info, html_path)
        generate_pdf(html_path, pdf_path)

        return send_file(pdf_path, mimetype="application/pdf", as_attachment=True)

    except Exception as e:
        return jsonify({"success": False, "error": str(e)}), 500


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