vdb/download: Add --prioritized_seqs_file option

vdb/download.py

@@ -1,6 +1,8 @@
 import os, json, datetime, sys, re
 from rethinkdb import r
 from Bio import SeqIO
+from csv import DictReader
+from typing import Dict, List, Optional
 import numpy as np
 
 # Enable import from modules in parent directory.
@@ -54,6 +56,12 @@ def duplicate_resolver(resolve_method):
         return method
 
     parser.add_argument('--resolve_method', type=duplicate_resolver, default="choose_longest", help="Set method of resolving duplicates for the same locus, options are \'keep_duplicates\', \'choose_longest\', \'choose_genbank\' and \'split_passage\'")
+    parser.add_argument('--prioritized_seqs_file', type=str,
+        help="A TSV file with strain and sequence accessions that are prioritized " +
+             "when using the `split_passage` resolve method. " +
+             "The file is expected to have the columns `strain` and `accession`, " +
+             "and the `strain` column is expected to have unique strain names. " +
+             "Remember to add the `-egg` suffix to the strain name for egg passaged sequences.")
     return parser
 
 
@@ -219,7 +227,54 @@ def check_date_format(self, older_date, newer_date):
             raise Exception("Date interval must be in YYYY-MM-DD format with all values defined", older_date, newer_date)
         return(older_date.upper(), newer_date.upper())
 
-    def resolve_duplicates(self, sequence_docs, resolve_method=None, **kwargs):
+
+    def parse_prioritized_seqs(self, prioritized_seqs_file: str) -> Dict[str, str]:
+        '''
+        Parse provided TSV file *prioritized_seqs_file* to return a dict with the
+        `strain` as the key and `accession` as the value.
+
+        Raises an AssertionError if there are duplicate strains in the file.
+        '''
+        prioritized_seqs = {}
+
+        with open(prioritized_seqs_file, 'r', newline='') as handle:
+            for record in DictReader(handle, delimiter="\t"):
+                assert record['strain'] not in prioritized_seqs, \
+                    f"Found duplicate strain {record['strain']} in prioritized-seqs TSV."
+
+                prioritized_seqs[record['strain']] = record['accession']
+
+        return prioritized_seqs
+
+
+    def resolve_prioritized_seqs(self, prioritized_seqs: Dict[str,str], strain_sdocs: List[Dict]) -> Optional[Dict]:
+        '''
+        Returns the prioritized sequence based on sequence accession
+        for a strain when available.
+        '''
+        strain = strain_sdocs[0]["strain"]
+
+        # All `strain_sdocs` should be for the same strain!
+        assert all(d["strain"] == strain for d in strain_sdocs), \
+            f"Not all strain_sdocs should have the same strain name {strain!r}"
+
+        seq_accession = prioritized_seqs.get(strain, None)
+        if seq_accession is None:
+            return None
+
+        prioritized_seq_sdocs = [sdoc for sdoc in strain_sdocs if sdoc['accession'] == seq_accession]
+        if len(prioritized_seq_sdocs) == 0:
+            print(f"WARNING: cannot find prioritized accession {seq_accession!r} for strain {strain!r}")
+            return None
+
+        # There should always only be one matching accession since the sequences table is indexed on accession!
+        assert len(prioritized_seq_sdocs) == 1, \
+            f"More than one sequence matched the prioritized accession {seq_accession!r} for strain {strain!r}"
+
+        return prioritized_seq_sdocs[0]
+
+
+    def resolve_duplicates(self, sequence_docs, resolve_method=None, prioritized_seqs_file=None, **kwargs):
         '''
         Takes a list of sequence documents (each one a Dict of key value pairs)
         And subsets this list to have only 1 sequence document for each 'strain'
@@ -255,6 +310,12 @@ def resolve_duplicates(self, sequence_docs, resolve_method=None, **kwargs):
             print("Resolving duplicate strains by keeping one cell/direct and one egg sequence")
             print("Appends -egg to egg-passaged sequence")
             print("Within cell/egg partitions prioritize longest sequence")
+
+            prioritized_seqs = {}
+            if prioritized_seqs_file is not None:
+                print(f"Sequence accessions specified in {prioritized_seqs_file!r} will be prioritized regardless of sequence length.")
+                prioritized_seqs = self.parse_prioritized_seqs(prioritized_seqs_file)
+
             for strain in strains:
                 strain_sdocs = strain_to_sdocs[strain]
                 cell_strain_sdocs = []
@@ -266,11 +327,19 @@ def resolve_duplicates(self, sequence_docs, resolve_method=None, **kwargs):
                         strain_sdoc['strain'] = strain_sdoc['strain'] + "-egg"
                         egg_strain_sdocs.append(strain_sdoc)
                 if len(cell_strain_sdocs) > 0:
-                    sorted_cell_strain_sdocs = sorted(cell_strain_sdocs, key=lambda k: len(k['sequence'].replace('n', '')), reverse=True)
-                    resolved_sequence_docs.append(sorted_cell_strain_sdocs[0])
+                    prioritized_seq_sdoc = self.resolve_prioritized_seqs(prioritized_seqs, cell_strain_sdocs)
+                    if prioritized_seq_sdoc is not None:
+                        resolved_sequence_docs.append(prioritized_seq_sdoc)
+                    else:
+                        sorted_cell_strain_sdocs = sorted(cell_strain_sdocs, key=lambda k: len(k['sequence'].replace('n', '')), reverse=True)
+                        resolved_sequence_docs.append(sorted_cell_strain_sdocs[0])
                 if len(egg_strain_sdocs) > 0:
-                    sorted_egg_strain_sdocs = sorted(egg_strain_sdocs, key=lambda k: len(k['sequence'].replace('n', '')), reverse=True)
-                    resolved_sequence_docs.append(sorted_egg_strain_sdocs[0])
+                    prioritized_seq_sdoc = self.resolve_prioritized_seqs(prioritized_seqs, egg_strain_sdocs)
+                    if prioritized_seq_sdoc is not None:
+                        resolved_sequence_docs.append(prioritized_seq_sdoc)
+                    else:
+                        sorted_egg_strain_sdocs = sorted(egg_strain_sdocs, key=lambda k: len(k['sequence'].replace('n', '')), reverse=True)
+                        resolved_sequence_docs.append(sorted_egg_strain_sdocs[0])
         elif resolve_method == "keep_duplicates":
             print("Keeping duplicate strains")
             resolved_sequence_docs = sequence_docs