# HG changeset patch
# User in_silico
# Date 1528815927 14400
# Node ID 152cc8feff8af9451b599a884703b71da40c2cf1
# Parent 399f41a4bad6f39c13da113bfdcaf597eae0f007
Uploaded
diff -r 399f41a4bad6 -r 152cc8feff8a cravat_convert/cravat_convert.py
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/cravat_convert/cravat_convert.py Tue Jun 12 11:05:27 2018 -0400
@@ -0,0 +1,80 @@
+'''
+Convert a VCF format file to Cravat format file
+'''
+
+import os
+import argparse
+from vcf_converter import CravatConverter
+###
+import ipdb
+
+
+# File read/write configuration variables
+vcf_sep = '\t'
+cr_sep = '\t'
+cr_newline = '\n'
+
+# VCF Headers mapped to their index position in a row of VCF values
+vcf_mapping = {
+ 'CHROM': 0,
+ 'POS': 1,
+ 'ID': 2,
+ 'REF': 3,
+ 'ALT': 4,
+ 'QUAL': 5,
+ 'FILTER': 6,
+ 'INFO': 7,
+ 'FORMAT': 8,
+ 'NA00001': 9,
+ 'NA00002': 10,
+ 'NA00003': 11
+}
+
+
+def get_args():
+ parser = argparse.ArgumentParser()
+ parser.add_argument('--input',
+ '-i',
+ required = True,
+ help='Input path to a VCF file for conversion',)
+ parser.add_argument('--output',
+ '-o',
+ default = os.path.join(os.getcwd(), "cravat_converted.txt"),
+ help = 'Output path to write the cravat file to')
+ return parser.parse_args()
+
+
+def convert(in_path, out_path=None):
+ if not out_path:
+ base, _ = os.path.split(in_path)
+ out_path = os.path.join(base, "cravat_converted.txt")
+
+ with open(in_path, 'r') as in_file, \
+ open(out_path, 'w') as out_file:
+
+ # cr_count will be used to generate the 'TR' field of the cravat rows (first header)
+ cr_count = 0
+ # VCF lines are always assumed to be '+' strand, as VCF doesn't specify that attribute
+ strand = '+'
+ # VCF converter. Adjusts position, reference, and alternate for Cravat formatting.
+ converter = CravatConverter()
+
+ for line in in_file:
+ if line.startswith("#"):
+ continue
+ line = line.strip().split(vcf_sep)
+ # row is dict of VCF headers mapped to corresponding values of this line
+ row = { header: line[index] for header, index in vcf_mapping.items() }
+ for alt in row["ALT"].split(","):
+ new_pos, new_ref, new_alt = converter.extract_vcf_variant(strand, row["POS"], row["REF"], alt)
+ new_pos, new_ref, new_alt = str(new_pos), str(new_ref), str(new_alt)
+ cr_line = cr_sep.join([
+ 'TR' + str(cr_count), row['CHROM'], new_pos, strand, new_ref, new_alt, row['ID']
+ ])
+ out_file.write(cr_line + cr_newline)
+ cr_count += 1
+
+
+if __name__ == "__main__":
+ cli_args = get_args()
+ convert(cli_args.input, cli_args.output)
diff -r 399f41a4bad6 -r 152cc8feff8a cravat_convert/cravat_convert.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/cravat_convert/cravat_convert.xml Tue Jun 12 11:05:27 2018 -0400
@@ -0,0 +1,20 @@
+
+ Converts a VCF format file to a Cravat format file
+ cravat_convert.py -i $input -o $output
+
+
+
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+
+
+ Converts a VCF format file to a Cravat format file
+
+
+
+
diff -r 399f41a4bad6 -r 152cc8feff8a cravat_submit/cravat_submit.py
--- a/cravat_submit/cravat_submit.py Tue Jun 12 11:05:20 2018 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,136 +0,0 @@
-import requests
-import json
-import time
-import urllib
-import sys
-import csv
-import pdb
-
-input_filename = sys.argv[1]
-input_select_bar = sys.argv[2]
-output_filename = sys.argv[3]
-
-#in_file = open('input_call.txt', "r")
-#out_file = open('output_call.txt', "w")
-
-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) + ', ')
- pdb.set_trace()
- 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)
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-#a = 'col1\tcol2\tcol3'
-#header_list = a.split('\t')
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-#loop through the two results, when you first hit header you print out the headers in tabular form
-#Print out each header only once
-#Combine both headers into one output file
-#loop through the rest of the data and assign each value to its assigned header
-#combine this all into one output file
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diff -r 399f41a4bad6 -r 152cc8feff8a cravat_submit/cravat_submit.xml
--- a/cravat_submit/cravat_submit.xml Tue Jun 12 11:05:20 2018 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,34 +0,0 @@
-
- Submits, checks for, and retrieves data for cancer annotation
- cravat_submit.py $input $dropdown $output
-
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- This tool submits, checks for, and retrieves data for cancer annotation.
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