# HG changeset patch # User greg # Date 1693506613 0 # Node ID 163260afc1b1afd971d2a69c5a855e5574bf86b3 # Parent a859de7cce949051c0e886e87f9a3b4ba44a4691 Uploaded diff -r a859de7cce94 -r 163260afc1b1 pima_report.py --- a/pima_report.py Tue Jun 27 13:39:14 2023 +0000 +++ b/pima_report.py Thu Aug 31 18:30:13 2023 +0000 @@ -464,20 +464,25 @@ if self.quast_report_file is not None: # Process quast values. quast_report = pandas.read_csv(self.quast_report_file, header=0, index_col=0, sep='\t') - quast_mismatches = int(float(quast_report.loc['# mismatches per 100 kbp', :][0]) * (float(quast_report.loc['Total length (>= 0 bp)', :][0]) / 100000.)) - quast_indels = int(float(quast_report.loc['# indels per 100 kbp', :][0]) * (float(quast_report.loc['Total length (>= 0 bp)', :][0]) / 100000.)) - self.doc.new_line() - self.doc.new_header(level=2, title=self.alignment_title) - self.doc.new_line() - self.doc.new_header(level=3, title=self.snp_indel_title) - Table_1 = [ - "Category", - "Quantity", - 'SNPs', - '{:,}'.format(quast_mismatches), - 'Small indels', - '{:,}'.format(quast_indels) - ] + try: + quast_mismatches = int(float(quast_report.loc['# mismatches per 100 kbp', :][0]) * (float(quast_report.loc['Total length (>= 0 bp)', :][0]) / 100000.)) + quast_indels = int(float(quast_report.loc['# indels per 100 kbp', :][0]) * (float(quast_report.loc['Total length (>= 0 bp)', :][0]) / 100000.)) + self.doc.new_line() + self.doc.new_header(level=2, title=self.alignment_title) + self.doc.new_line() + self.doc.new_header(level=3, title=self.snp_indel_title) + Table_1 = [ + "Category", + "Quantity", + 'SNPs', + '{:,}'.format(quast_mismatches), + 'Small indels', + '{:,}'.format(quast_indels) + ] + except Exception: + # Likely a high dissimilarity bewteen the sample + # and the reference, resulting in a failed alignment. + pass self.doc.new_table(columns=2, rows=3, text=Table_1, text_align='left') self.doc.new_line('
') self.doc.new_line()