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import gradio as gr
from igfold import IgFoldRunner
import os
import random
import base64


def read_mol(molpath):
    with open(molpath, "r") as fp:
        lines = fp.readlines()
    mol = ""
    for l in lines:
        mol += l
    return mol


def molecule(input_pdb):

    mol = read_mol(input_pdb)

    byte_content = mol.encode('utf-8')
    base64_content = base64.b64encode(byte_content).decode('utf-8')


    x = (
        """<!DOCTYPE html>
        <html>
        <head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <style>
    body{
        font-family:sans-serif
    }
    .mol-container {
    width: 100%;
    height: 600px;
    position: relative;
    }
    .mol-container select{
        background-image:None;
    }
    </style>
     <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.3/jquery.min.js" integrity="sha512-STof4xm1wgkfm7heWqFJVn58Hm3EtS31XFaagaa8VMReCXAkQnJZ+jEy8PCC/iT18dFy95WcExNHFTqLyp72eQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
     <script src="https://3Dmol.csb.pitt.edu/build/3Dmol-min.js"></script>
    </head>
    <body>  
    <div id="container" class="mol-container"></div>
  
            <script>
               let pdb = `"""
        + mol
        + """`  
             $(document).ready(function () {
                let element = $("#container");
                let config = { backgroundColor: "white" };
                let viewer = $3Dmol.createViewer(element, config);
                viewer.addModel(pdb, "pdb");
                viewer.getModel(0).setStyle({}, {cartoon:{color:"spectrum"}});
                viewer.addSurface($3Dmol.SurfaceType.VDW, {opacity: 0.7, color: "lightblue"});
                viewer.zoomTo();
                viewer.render();
                viewer.zoom(0.8, 2000);
              })
        </script>
        </body></html>"""
    )

    return f"""<iframe style="width: 100%; height: 600px" name="result" allow="midi; geolocation; microphone; camera; 
    display-capture; encrypted-media;" sandbox="allow-modals allow-forms 
    allow-scripts allow-same-origin allow-popups 
    allow-top-navigation-by-user-activation allow-downloads" allowfullscreen="" 
    allowpaymentrequest="" frameborder="0" srcdoc='{x}'></iframe>
    <a href="data:application/octet-stream;base64,{base64_content}" download="example.txt">Download File</a>
    """


def validate(seq):
    alphabet = set('ACDEFGHIKLMNPQRSTVWY')
    leftover = set(seq.upper()) - alphabet
    return not leftover

def pred_seq(h_seq, l_seq):
    h_seq = h_seq.upper()
    l_seq = l_seq.upper()
    h_is_valid = validate(h_seq)
    l_is_valid = validate(l_seq)
    if h_is_valid and l_is_valid:    
        sequences = {
            "H": h_seq,
            "L": l_seq
        }

        f_name = ''.join([random.choice("ACDEFGHIKLMNPQRSTVWY") for _ in range(15)])

        pred_pdb = f"{f_name}.pdb"

        igfold = IgFoldRunner()
        igfold.fold(
            pred_pdb,
            sequences=sequences,
            do_refine=False,
            do_renum=False,
        )

        html = molecule(pred_pdb)

    else:
        html = "<p>ERROR! Not valid sequence</p>"
    return (html)

inputs = [gr.Textbox(lines=5, label="Heavy chain"),
          gr.Textbox(lines=5, label="Light chain")
]
iface = gr.Interface(fn=pred_seq, 
                     inputs=inputs, 
                     outputs=gr.HTML(),
                     title="Antibody structure prediction")

iface.launch(share = True)