Handle slicing SeqRecords

Author: Nolan Woods

.idea/BioPython-Convert.iml

@@ -29,6 +29,12 @@
 # and https://github.com/jmespath/jmespath.py/issues/159
 
 
+class Options(jmespath.Options):
+    def __init__(self, dict_cls=None, custom_functions=None, custom_slice_types=None):
+        super().__init__(dict_cls, custom_functions)
+        self.custom_slice_types = custom_slice_types
+
+
 def compile(expression):
     return Parser().parse(expression)
 
@@ -178,6 +184,8 @@ def visit_index(self, node, value, **kwargs):
         return super().visit_index(node, value)
 
     def visit_slice(self, node, value, **kwargs):
+        if self._options.custom_slice_types is not None and isinstance(value, self._options.custom_slice_types):
+            return value[slice(*node['children'])]
         return itertools.islice(value, *node['children'])
 
     def visit_multi_select_list(self, node, value, **kwargs):

.idea/misc.xml

@@ -27,6 +27,8 @@
 stat_annotations = ['molecule_type', 'topology', 'data_file_division', 'date', 'accessions', 'sequence_version', 'gi',
                     'keywords', 'source', 'organism']
 
+JMESPathGenOptions = JMESPathGen.Options(custom_functions=JMESPathGen.ExtendedFunctions(), custom_slice_types=(SeqIO.SeqRecord,))
+
 usage = """\
 Use: biopython.convert [-s] [-v] [-i] [-q JMESPath] input_file input_type output_file output_type
 \t-s Split records into seperate files
@@ -192,7 +194,7 @@ def gentype(x):
 
     # Wrap input in JMESPath selector if provided
     if jpath:
-        input_records = JMESPathGen.search(jpath, gentype(input_records))
+        input_records = JMESPathGen.search(jpath, gentype(input_records), JMESPathGenOptions)
 
     # Apply xform to both entire return value
     input_records = xform(input_records)

biopython_convert/JMESPathGen.py

@@ -0,0 +1,88 @@
+LOCUS       NC_008563               2800 bp    DNA              UNK 01-JAN-1980
+DEFINITION  Escherichia coli APEC O1, complete genome.
+ACCESSION   NC_008563
+VERSION     NC_008563.1
+KEYWORDS    .
+SOURCE      .
+  ORGANISM  .
+            .
+FEATURES             Location/Qualifiers
+     gene            117..2579
+                     /locus_tag="APECO1_RS00010"
+                     /old_locus_tag="APECO1_1976"
+     CDS             117..2579
+                     /locus_tag="APECO1_RS00010"
+                     /old_locus_tag="APECO1_1976"
+                     /inference="COORDINATES: similar to AA
+                     sequence:RefSeq:WP_005124053.1"
+                     /note="Derived by automated computational analysis using
+                     gene prediction method: Protein Homology."
+                     /codon_start=1
+                     /transl_table=11
+                     /product="bifunctional aspartokinase I/homoserine
+                     dehydrogenase I"
+                     /protein_id="WP_001264707.1"
+                     /translation="MRVLKFGGTSVANAERFLRVADILESNARQGQVATVLSAPAKITN
+                     HLVAMIEKTISGQDALPNISDAERIFAELLTGLAAAQPGFPLAQLKTFVDQEFAQIKHV
+                     LHGISLLGQCPDSINAALICRGEKMSIAIMAGVLEARGHNVTVIDPVEKLLAVGHYLES
+                     TVDIAESTRRIAASRIPADHMVLMAGFTAGNEKGELVVLGRNGSDYSAAVLAACLRADC
+                     CEIWTDVDGVYTCDPRQVPDARLLKSMSYQEAMELSYFGAKVLHPRTITPIAQFQIPCL
+                     IKNTGNPQAPGTLIGASRDEDELPVKGISNLNNMAMFSVSGPGMKGMVGMAARVFAAMS
+                     RARISVVLITQSSSEYSISFCVPQSDCVRAERAMQEEFYLELKEGLLEPLAVTERLAII
+                     SVVGDGMRTLRGISAKFFAALARANINIVAIAQGSSERSISVVVNNDDATTGVRVTHQM
+                     LFNTDQVIEVFVIGVGGVGGALLEQLKRQQSWLKNKHIDLRVCGVANSKALLTNVHGLN
+                     LENWQEELAQAKEPFNLGRLIRLVKEYHLLNPVIVDCTSSQAVADQYADFLREGFHVVT
+                     PNKKANTSSMDYYHQLRYAAEKSRRKFLYDTNVGAGLPVIENLQNLLNAGDELMKFSGI
+                     LSGSLSYIFGKLDEGMSFSEATTLAREMGYTEPDPRDDLSGMDVARKLLILARETGREL
+                     ELADIEIEPVLPAEFNAEGDVAAFMANLSQLDDLFAARVAKARDEGKVLRYVGNIDEDG
+                     VCRVKIAEVDGNDPLFKVKNGENALAFYSHYYQPLPLVLRGYGAGNDVTAAGVFADLLR
+                     TLSWKLGV"
+ORIGIN
+        1 accatcacca ttaccacagg taacggtgcg ggctgacgcg tacaggaaac acagaaaaaa
+       61 gcccgcacct gacagtgcgg gctttttttt cgaccaaagg taacgaggta acaaccatgc
+      121 gagtgttgaa gttcggcggt acatcagtgg caaatgcaga acgttttctg cgggttgccg
+      181 atattctgga aagcaatgcc aggcaggggc aggtggcgac cgtcctctct gcccccgcca
+      241 aaattaccaa ccatctggta gcgatgattg aaaaaaccat tagcggccaa gatgctttac
+      301 ccaatatcag cgatgccgaa cgtatttttg ccgaacttct gacgggactc gccgccgccc
+      361 agccgggatt tccgctggca caattgaaaa ctttcgtcga ccaggaattt gcccaaataa
+      421 aacatgtcct gcatggcatt agtttgttgg ggcagtgccc ggatagcatc aacgctgcgc
+      481 tgatttgccg tggcgagaaa atgtcgatcg ccattatggc cggcgtgtta gaagcgcgtg
+      541 gtcacaacgt taccgttatc gatccggtcg aaaaactgct tgcagtgggg cattacctcg
+      601 aatctaccgt tgatattgct gagtccaccc gccgtattgc ggcaagccgc attccggctg
+      661 accacatggt gctgatggct ggtttcactg ccggtaatga aaaaggcgag ctggtggttc
+      721 tgggacgcaa cggttccgac tactccgctg cggtgctggc ggcctgttta cgcgccgatt
+      781 gttgcgagat ctggacggat gttgacggtg tttatacctg cgatccgcgt caggtgcccg
+      841 atgcgaggtt gttgaagtcg atgtcctatc aggaagcgat ggagctttct tacttcggcg
+      901 ctaaagttct tcacccccgc accatcaccc ccatcgccca gtttcagatc ccttgcctga
+      961 ttaaaaatac cggaaatcct caagctccag gtacgctcat tggtgccagc cgtgatgaag
+     1021 acgaattacc ggtcaagggc atttccaatc tgaataacat ggcaatgttc agcgtttccg
+     1081 gcccggggat gaaagggatg gttggcatgg cggcgcgcgt ctttgcagcg atgtcacgcg
+     1141 cccgtatttc cgtggtgctg attacgcaat catcttccga atacagtatc agtttctgcg
+     1201 ttccgcaaag cgactgtgtg cgagctgaac gggcaatgca ggaagagttc tacctggaac
+     1261 tgaaagaagg cttactggag ccgttggcgg tgacggaacg gctggccatt atctcggtgg
+     1321 taggtgatgg tatgcgcacc ttacgtggga tctcggcgaa attctttgcc gcgctggccc
+     1381 gcgccaatat caacattgtc gccattgctc agggatcttc tgaacgctca atctctgtcg
+     1441 tggtcaataa cgatgatgcg accactggcg tgcgcgttac tcatcagatg ctgttcaata
+     1501 ccgatcaggt tatcgaagtg tttgtgattg gcgtcggtgg cgttggcggt gcgctgctgg
+     1561 agcaactgaa gcgtcagcaa agctggttga agaataaaca tatcgactta cgtgtctgcg
+     1621 gtgttgctaa ctcgaaggca ctgctcacca atgtacatgg ccttaatctg gaaaactggc
+     1681 aggaagaact ggcgcaagcc aaagagccgt ttaatctcgg gcgcttaatt cgcctcgtga
+     1741 aagaatatca tctgctgaac ccggtcattg ttgactgtac ttccagccag gcagtggcgg
+     1801 atcaatatgc cgacttcctg cgcgaaggtt tccacgttgt tacgccgaac aaaaaggcca
+     1861 acacctcgtc gatggattac taccatcagt tgcgttatgc ggcggaaaaa tcgcggcgta
+     1921 aattcctcta tgacaccaac gttggggctg gattaccggt tatcgagaac ctgcaaaatc
+     1981 tgctcaatgc tggtgatgaa ttgatgaagt tctccggcat tctttcaggt tcgctttctt
+     2041 atatcttcgg caagttagac gaaggcatga gtttctccga ggcgaccaca ctggcgcggg
+     2101 aaatgggtta taccgaaccg gacccgcgag atgatctttc tggtatggat gtggcgcgta
+     2161 agctattgat tctcgctcgt gaaacgggac gtgaactgga gctggcggat attgaaattg
+     2221 aacctgtgct gcccgcagag tttaacgccg agggtgatgt cgccgctttt atggcgaatc
+     2281 tgtcacagct cgacgatctc tttgccgcgc gtgtggcgaa ggcccgtgat gaaggaaaag
+     2341 ttttgcgcta tgttggcaat attgatgaag atggcgtctg ccgcgtgaag attgccgaag
+     2401 tggatggtaa tgatccgctg ttcaaagtga aaaatggcga aaacgccctg gccttctata
+     2461 gccactatta tcagccgctg ccgttggtac tgcgcggata tggtgcgggc aatgacgtta
+     2521 cagctgccgg tgtctttgct gatctgctac gtaccctctc atggaagtta ggagtctgac
+     2581 atggttaaag tttatgcccc ggcttccagt gccaatatga gcgtcgggtt tgatgtgctc
+     2641 ggggcggcgg tgacacctgt tgatggtgca ttgctcggag atgtagtcac ggttgaggcg
+     2701 gcagagacat tcagtctcaa caacctcgga cgctttgccg ataagctgcc gtcagagcca
+     2761 cgggaaaata tcgtttatca gtgctgggag cgtttttgcc
+//

biopython_convert/__init__.py

@@ -172,4 +172,12 @@ def test_creation2(self):
 seq: extract(seq, @),
 description: desc})
         """)
-        self.compare_files(Path.joinpath(self.output_path, 'ffn'), output_path)
+        self.compare_files(Path.joinpath(self.output_path, 'ffn'), output_path)
+
+    def test_jpath_slice(self):
+        """
+        Test slicing a SeqRecord
+        """
+        output_path = Path(self.workdir.name, 'jpath_slice')
+        convert(self.input_path, self.input_type, output_path, 'genbank', jpath='[[0][200:3000]]')
+        self.compare_files(Path.joinpath(self.output_path, 'jpath_slice'), output_path)