from flask import Flask,request,render_template,send_file,jsonify
import os
from transformers import AutoTokenizer, AutoModel

app=Flask(__name__)
MESSAGED={'title':'Script Server',
          'messageL':['script in "script" parameter or field of json input to /run will be run']}

tokenizer = AutoTokenizer.from_pretrained('allenai/specter')
encoder = AutoModel.from_pretrained('allenai/specter')

@app.route('/encode',methods=['GET','POST'])
def encode():
    print(request)
    if request.method=='GET':
        text=request.args.get('text')
    elif request.method=='POST':
        data=request.get_json()
        if 'text' in data: text=data["text"]
    if text=='' or text is None: return -1
    inputs = tokenizer(text, padding=True, truncation=True, 
                       return_tensors="pt", max_length=512)
    result = encoder(**inputs)
    embeddings = result.last_hidden_state[:, 0, :]
    emb_array = embeddings.detach().numpy()
    embedding=emb_array.tolist()
    return jsonify({'embedding': embedding})

@app.route("/file/<string:filename>")
def return_file(filename):
    return send_file('./data/'+filename)

@app.route('/run',methods=['GET','POST'])
def run_script():
    script=''
    # print(request.method)
    print(request)
    if request.method=='GET': 
        script=request.args.get('script')
        print('I am in get')
    elif request.method=='POST':
        print('I am in post')
        data=request.get_json()
        if 'script' in data: script=data['script']
    if script=='' or script is None: return 'INVALID'
    os.system(script+' > ./out.txt')
    with open('./out.txt','r') as f: output=f.read()
    return output

@app.route('/',methods=['GET', 'POST'])
def home():
    return render_template('home.html',messageD=MESSAGED)

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