Added test to verify that CSV target columns are ordered

tests/autobigs/engine/data/local/test_csv.py

@@ -1,6 +1,13 @@
-from autobigs.engine.data.local.csv import dict_loci_alleles_variants_from_loci
-from autobigs.engine.data.structures.mlst import Allele
+from typing import AsyncIterable, Iterable
+from autobigs.engine.data.local.csv import dict_loci_alleles_variants_from_loci, write_mlst_profiles_as_csv
+from autobigs.engine.data.structures.mlst import Allele, MLSTProfile
+import tempfile
+from csv import reader
+from os import path
 
+async def iterable_to_asynciterable(iterable: Iterable):
+    for iterated in iterable:
+        yield iterated
 
 def test_dict_loci_alleles_variants_from_loci_single_loci_not_list():
     alleles_map = {
@@ -19,3 +26,19 @@ def test_dict_loci_alleles_variants_from_loci_multi_loci_is_list():
     for loci, variant in results.items():
         assert isinstance(variant, list)
         assert len(variant) == 2
+
+async def test_column_order_is_same_as_expected_file():
+    dummy_profiles = [("test_1", MLSTProfile({
+        "A": Allele("A", "1", None),
+        "D": Allele("D", "1", None),
+        "B": Allele("B", "1", None),
+        "C": Allele("C", "1", None)
+    }, "mysterious", "very mysterious"))]
+    with tempfile.TemporaryDirectory() as temp_dir:
+        output_path = path.join(temp_dir, "out.csv")
+        await write_mlst_profiles_as_csv(iterable_to_asynciterable(dummy_profiles), output_path)
+        with open(output_path) as csv_handle:
+            csv_reader = reader(csv_handle)
+            lines = list(csv_reader)
+            target_columns = lines[4:]
+            assert target_columns == sorted(target_columns)