import scipy as scipy
import pandas as pd
import io
+import argparse
-pd.set_option("display.max_colwidth", 10000)
+def generatereport():
-filename = "reportdata.txt"
-samplename = "hu34D5B9_var-GS000015891-ASM"
-headfile = "head.html"
-tailfile = "tail.html"
+ parser = argparse.ArgumentParser()
+ parser.add_argument('txtfilename', metavar='VCF2TXTFILENAME', help='text file of info to annotate')
+ parser.add_argument('samplename', metavar='SAMPLENAME', help='name of sample to use on report')
+ parser.add_argument('headfile', metavar='REPORTHEADHTML', help='head html for report')
+ parser.add_argument('tailfile', metavar='REPORTTAILHTML', help='tail html for report')
+ args = parser.parse_args()
-headerlist = ["Variant ID", "Chromosome", "Position", "Ref","Alt","Allele ID", "Clinical Significance","Disease Name","Frequency GO-ESP", "Frequency EXAC", "Frequency 1000 Genomes Project","GT"]
-reportdata = pd.read_csv(filename,header=0,names=headerlist,sep='\t')
-reportdata['Zygosity']="."
+ pd.set_option("display.max_colwidth", 10000)
-idxHOM1 = reportdata.GT=='1|1'
-idxHOM2 = reportdata.GT=='1/1'
-idxHET1 = reportdata.GT=='1|0'
-idxHET2 = reportdata.GT=='1/0'
-idxHET3 = reportdata.GT=='0|1'
-idxHET4 = reportdata.GT=='0/1'
-idxHOM = idxHOM1 | idxHOM2
-idxHET = idxHET1 | idxHET2 | idxHET3 | idxHET4
-reportdata.Zygosity[idxHOM]='HOM'
-reportdata.Zygosity[idxHET]='HET'
+# filename = "reportdata.txt"
+# samplename = "hu34D5B9_var-GS000015891-ASM"
+# headfile = "head.html"
+# tailfile = "tail.html"
-#reportdata['URL'] =reportdata['Variant ID'].apply(lambda x: '<a href="www.ncbi.nlm.nih.gov/clinvar/variation/'+str(x)+'> Link </a>')
-reportdata['URL'] = '<a href="http://www.mywebsite.com/about.html">About</a>'
-reportdata.to_json('test.json',orient='records')
-str_io = io.StringIO()
+ filename = args.txtfilename
+ samplename = args.samplename
+ headfile = args.headfile
+ tailfile = args.tailfile
-reportdatasub = reportdata[["Variant ID", "Allele ID", "Clinical Significance","Disease Name", "Frequency EXAC", "Frequency 1000 Genomes Project","Zygosity","URL"]]
+ # reading data into dataframe
+ headerlist = ["Variant ID", "Chromosome", "Position", "Ref","Alt","Allele ID", "Clinical Significance","Disease Name","Frequency GO-ESP", "Frequency EXAC", "Frequency 1000 Genomes Project","GT"]
+ reportdata = pd.read_csv(filename,header=0,names=headerlist,sep='\t')
+ reportdata['Zygosity']="."
-reportdatasub.to_html(buf=str_io, classes='table table-bordered',index_names=False,index=False)
-html_str = str_io.getvalue()
-html_str_encoded = unicode(html_str).encode('utf8')
+ # defining zygosity
+ idxHOM1 = reportdata.GT=='1|1'
+ idxHOM2 = reportdata.GT=='1/1'
+ idxHET1 = reportdata.GT=='1|0'
+ idxHET2 = reportdata.GT=='1/0'
+ idxHET3 = reportdata.GT=='0|1'
+ idxHET4 = reportdata.GT=='0/1'
+ idxHOM = idxHOM1 | idxHOM2
+ idxHET = idxHET1 | idxHET2 | idxHET3 | idxHET4
+ reportdata.Zygosity[idxHOM]='HOM'
+ reportdata.Zygosity[idxHET]='HET'
-html_str_encoded = html_str_encoded.replace('<','<')
-html_str_encoded = html_str_encoded.replace('>','>')
-html_str_encoded = html_str_encoded.replace('|','<br/>')
+ # creating url from variant ID
+ reportdata['URL'] = '<a href="http://www.mywebsite.com/about.html">About</a>'
+ reportdata.to_json('test.json',orient='records')
+ str_io = io.StringIO()
-html_file = open(headfile, 'r')
-source_code_head = html_file.read()
-html_file.close()
+ # creating html table from dataframe
+ reportdatasub = reportdata[["Variant ID", "Allele ID", "Clinical Significance","Disease Name", "Frequency EXAC", "Frequency 1000 Genomes Project","Zygosity","URL"]]
+ reportdatasub.to_html(buf=str_io, classes='table table-bordered',index_names=False,index=False)
+ html_str = str_io.getvalue()
+ html_str_encoded = unicode(html_str).encode('utf8')
+ html_str_encoded = html_str_encoded.replace('<','<')
+ html_str_encoded = html_str_encoded.replace('>','>')
+ html_str_encoded = html_str_encoded.replace('|','<br/>')
-html_file = open(tailfile, 'r')
-source_code_tail = html_file.read()
-html_file.close()
+ html_file = open(headfile, 'r')
+ source_code_head = html_file.read()
+ html_file.close()
+ html_file = open(tailfile, 'r')
+ source_code_tail = html_file.read()
+ html_file.close()
-total_html = source_code_head + html_str_encoded + source_code_tail
+ # combine html table with head and tail html for total report
+ total_html = source_code_head + html_str_encoded + source_code_tail
+
+ # write out report html
+ f = open(samplename+'.html','wb')
+ f.write(total_html)
+ f.close()
-f = open(samplename+'.html','wb')
-
-f.write(total_html)
-f.close()
+if __name__ == '__main__':
+ generatereport()