src/autobigs/cli/info.py

@@ -1,7 +1,5 @@
 from argparse import ArgumentParser, Namespace
 import asyncio
-import csv
-from os import path
 from autobigs.engine.analysis.bigsdb import BIGSdbIndex
 
 def setup_parser(parser: ArgumentParser):
@@ -26,14 +24,6 @@ def setup_parser(parser: ArgumentParser):
         help="Lists the known schema IDs for a given BIGSdb sequence definition database name. The name, and then the ID of the schema is given."
     )
 
-    parser.add_argument(
-        "--csv-prefix", "-o",
-        dest="csv_output",
-        required=False,
-        default=None,
-        help="Output list as CSV at a given path. A suffix is added depending on the action taken."
-    )
-
     parser.set_defaults(run=run_asynchronously)
     return parser
 
@@ -41,29 +31,15 @@ async def run(args: Namespace):
     async with BIGSdbIndex() as bigsdb_index:
         if args.list_dbs:
             known_seqdef_dbs = await bigsdb_index.get_known_seqdef_dbs(force=False)
-            sorted_seqdef_dbs = [(name, source) for name, source in sorted(known_seqdef_dbs.items())]
+            print("The following are all known BIGS database names (sorted alphabetically):")
-            print("The following are all known BIGS database names, and their source (sorted alphabetically):")
+            print("\n".join(sorted(known_seqdef_dbs.keys())))
-            print("\n".join(["{0}: {1}".format(name, source) for name, source in sorted_seqdef_dbs]))
-            if args.csv_output:
-                dbs_csv_path = path.splitext(args.csv_output)[0] + "_" + "dbs.csv"
-                with open(dbs_csv_path, "w") as csv_out_handle:
-                    writer = csv.writer(csv_out_handle)
-                    writer.writerow(("BIGSdb Names", "Source"))
-                    writer.writerows(sorted_seqdef_dbs)
-                    print("\nDatabase output written to {0}".format(dbs_csv_path))
 
         for bigsdb_schema_name in args.list_bigsdb_schemas:
             schemas = await bigsdb_index.get_schemas_for_seqdefdb(bigsdb_schema_name)
-            sorted_schemas = [(name, id) for name, id in sorted(schemas.items())]
             print("The following are the known schemas for \"{0}\", and their associated IDs:".format(bigsdb_schema_name))
-            print("\n".join(["{0}: {1}".format(name, id) for name, id in sorted_schemas]))
+            for schema_desc, schema_id in schemas.items():
-            if args.csv_output:
+                print(f"{schema_desc}: {schema_id}")
-                schema_csv_path = path.splitext(args.csv_output)[0] + "_" + "schemas.csv"
+
-                with open(schema_csv_path, "w") as csv_out_handle:
-                    writer = csv.writer(csv_out_handle)
-                    writer.writerow(("Name", "ID"))
-                    writer.writerows(sorted_schemas)
-                    print("\nSchema list output written to {0}".format(schema_csv_path))
         if not (args.list_dbs or len(args.list_bigsdb_schemas) > 0):
             print("Nothing to do. Try specifying \"-l\" for a list of known databases, or \"-h\" for more information.")
 

src/autobigs/cli/st.py

@@ -50,7 +50,7 @@ async def run(args: Namespace):
     async with BIGSdbIndex() as bigsdb_index:
         gen_strings = read_multiple_fastas(args.fastas)
         async with await bigsdb_index.build_profiler_from_seqdefdb(False, args.seqdefdb, args.schema) as mlst_profiler:
-            mlst_profiles = mlst_profiler.profile_multiple_strings(gen_strings, args.stop_on_fail)
+            mlst_profiles = mlst_profiler.profile_multiple_strings(gen_strings)
             failed = await write_mlst_profiles_as_csv(mlst_profiles, args.out)
             if len(failed) > 0:
                 print(f"A total of {len(failed)} IDs failed (no profile found):\n{"\n".join(failed)}")