Mercurial > repos > in_silico > cravat_annotate_mutations
view cravat_submit/cravat_submit.py @ 15:a46b42bda5d7 draft
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author | in_silico |
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date | Tue, 12 Jun 2018 12:05:40 -0400 |
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import requests import json import time import urllib import sys import csv input_filename = sys.argv[1] input_select_bar = sys.argv[2] output_filename = sys.argv[3] # HACK: Input args corrections. if input_select_bar == "None": # The server represents an analyses of None as ""; however, submitting a blank string on command line throws off arg position input_select_bar = "" # The server represents the "Vest and Chasm" analyses as "VEST;CHASM; however, galaxy converts the semi-colon to an 'X'. Switch it back. elif input_select_bar == "VESTXCHASM": input_select_bar = "VEST;CHASM" write_header = True #plugs in params to given URL submit = requests.post('http://staging.cravat.us/CRAVAT/rest/service/submit', files={'inputfile':open(input_filename)}, data={'email':'znylund@insilico.us.com', 'analyses': input_select_bar}) #,'analysis':input_select_bar,'functionalannotation': "on"}) #Makes the data a json dictionary, takes out only the job ID jobid = json.loads(submit.text)['jobid'] #out_file.write(jobid) submitted = json.loads(submit.text)['status'] #out_file.write('\t' + submitted) #loops until we find a status equal to Success, then breaks while True: check = requests.get('http://staging.cravat.us/CRAVAT/rest/service/status', params={'jobid': jobid}) status = json.loads(check.text)['status'] resultfileurl = json.loads(check.text)['resultfileurl'] #out_file.write(str(status) + ', ') if status == 'Success': #out_file.write('\t' + resultfileurl) break else: time.sleep(2) #out_file.write('\n') #creates three files file_1 = time.strftime("%H:%M") + '_Z_Variant_Result.tsv' file_2 = time.strftime("%H:%M") + '_Z_Additional_Details.tsv' file_3 = time.strftime("%H:%M") + 'Combined_Variant_Results.tsv' #Download the two results urllib.urlretrieve("http://staging.cravat.us/CRAVAT/results/" + jobid + "/" + "Variant.Result.tsv", file_1) urllib.urlretrieve("http://staging.cravat.us/CRAVAT/results/" + jobid + "/" + "Variant_Additional_Details.Result.tsv", file_2) headers = [] duplicates = [] #opens the Variant Result file and the Variant Additional Details file as csv readers, then opens the output file (galaxy) as a writer with open(file_1) as tsvin_1, open(file_2) as tsvin_2, open(output_filename, 'wb') as tsvout: tsvreader_1 = csv.reader(tsvin_1, delimiter='\t') tsvreader_2 = csv.reader(tsvin_2, delimiter='\t') tsvout = csv.writer(tsvout, delimiter='\t') #loops through each row in the Variant Additional Details file for row in tsvreader_2: #sets row_2 equal to the same row in Variant Result file row_2 = tsvreader_1.next() #checks if row is empty or if the first term contains '#' if row == [] or row[0][0] == '#': continue #checks if the row begins with input line if row[0] == 'Input line': #Goes through each value in the headers list in VAD for value in row: #Adds each value into headers headers.append(value) #Loops through the Keys in VR for value in row_2: #Checks if the value is already in headers if value in headers: continue #else adds the header to headers else: headers.append(value) print headers tsvout.writerow(headers) else: cells = [] #Goes through each value in the next list for value in row: #adds it to cells cells.append(value) #Goes through each value from the VR file after position 11 (After it is done repeating from VAD file) for value in row_2[11:]: #adds in the rest of the values to cells cells.append(value) print cells tsvout.writerow(cells)