annotate toolOptBioDes.py @ 10:6a1fbacdfaf5 draft

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author pablocarb
date Fri, 03 May 2019 05:18:02 -0400
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1 #!/usr/bin/env python3
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2 # -*- coding: utf-8 -*-
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3 """
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4 Created on Mar 19
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5
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6 @author: Pablo Carbonell
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7 @description: Query OptBioDes: optimal synbio design.
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8
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9 """
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10 import requests
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11 import argparse
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12 import csv
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13 import os
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14 import json
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15
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16 def arguments():
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17 parser = argparse.ArgumentParser(description='toolOptBioDes: Optimal SynBio Design. Pablo Carbonell, SYNBIOCHEM, 2019')
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18 parser.add_argument('infile',
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19 help='Input csv file (DoE specificiations).')
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20 parser.add_argument('size',
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21 help='Library size.')
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22 parser.add_argument('outfile',
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23 help='Output csv design file.')
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24 parser.add_argument('diagfile',
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25 help='Output csv diagnostics file.')
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26 parser.add_argument('-server', default='http://optbiodes.synbiochem.co.uk/REST',
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27 help='OptBioDes server.')
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28 return parser
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29
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30 def testApp(url):
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31 r = requests.get( url )
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32 res = json.loads( r.content.decode('utf-8') )
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33 print( res )
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34
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35 def sheetUpload(doefile, size, outfile, diagfile, url):
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36 files = { 'file': open(doefile, 'rb' ) }
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37 values = {'size': int(size), 'format': 'csv'}
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38 r = requests.post( os.path.join(url, 'Query' ), files=files, data=values )
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39 res = json.loads( r.content.decode('utf-8') )
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40 M = res['data']['M']
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41 with open(outfile, 'w') as h:
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42 cw = csv.writer(h)
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43 cw.writerow( res['data']['names'] )
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44 for row in M:
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45 cw.writerow( row )
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46 with open(diagfile, 'w') as h:
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47 cw = csv.writer(h)
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48 cw.writerow( ['Size', 'Efficiency'] )
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49 cw.writerow( [res['data']['libsize'], res['data']['J']] )
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50 print( 'Size:', res['data']['libsize'], 'Efficiency:', res['data']['J'] )
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54 if __name__ == "__main__":
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55 parser = arguments()
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56 arg = parser.parse_args()
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57 assert os.path.exists(arg.infile)
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58 sheetUpload( arg.infile, arg.size, arg.outfile, arg.diagfile, arg.server )