#!/bin/env python3 from flask import Flask, render_template, request, redirect import tempfile import random import string from ratspub import * app=Flask(__name__) app.config['SECRET_KEY'] = '#DtfrL98G5t1dC*4' @app.route("/") def root(): return render_template('index.html') @app.route("/search") def search(): tf_path=tempfile.gettempdir() tf_name=tf_path+"/tmp"+''.join(random.choice(string.ascii_letters) for x in range(6)) all_sentences=str() genes=request.args.get('query') genes=genes.replace(",", " ") genes=genes.replace(";", " ") genes=genes.split() if len(genes)>=6: return render_template('index.html') nodes=default_nodes edges=str() for gene in genes: nodes+="{ data: { id: '" + gene + "', nodecolor:'#FADBD8', fontweight:700, url:'https://www.ncbi.nlm.nih.gov/gene/?term="+gene+"'} },\n" sent0=gene_addiction(gene) e0=generate_edges(sent0, tf_name) sent1=gene_functional(gene) e1=generate_edges(sent1, tf_name) sent2=gene_anatomical(gene) e2=generate_edges(sent2, tf_name) edges+=e0+e1+e2 all_sentences+=sent0+sent1+sent2 #session['tmpfile']={'filename':tf_name} with open(tf_name,"w") as f: f.write(all_sentences) f.close() return render_template('cytoscape.html', elements=nodes+edges) @app.route("/sentences") def sentences(): edge=request.args.get('edgeID') (tf_name, gene0, cat0)=edge.split("|") out="

"+gene0 + " and " + cat0 + "


\n" print(tf_name) with open(tf_name, "r") as df: all_sents=df.read() for sent in all_sents.split("\n"): if len(sent.strip())!=0: (gene,nouse,cat, pmid, text)=sent.split("\t") if (gene == gene0 and cat == cat0) : out+= "
  • "+ text + " PMID:"+pmid+"
    " return render_template('sentences.html', sentences="
      "+out+"

    ") @app.route("/shownode") def shownode(): node=request.args.get('node') allnodes={**brain_d, **drug_d, **function_d, **addiction_d} out="

    "+node.upper()+"


  • "+ allnodes[node].replace("|", "
  • ") return render_template('sentences.html', sentences=out+"

    ") if __name__ == '__main__': app.run(debug=True)