Merge pull request #4367 from GSA-TTS/main

backend/audit/intakelib/transforms/runners.py

@@ -1,6 +1,8 @@
 import logging
 from copy import deepcopy
 
+from .xform_resize_award_references import resize_award_reference
+
 from .xform_all_amount_expended_need_to_be_integers import (
     convert_amount_expended_to_integers,
 )
@@ -112,9 +114,11 @@ def run_all_secondary_auditors_transforms(ir):
     regenerate_uniform_cluster_names,
     reformat_federal_agency_prefix,
     generate_cfda_keys,
+    resize_award_reference,
 ]
 
 audit_findings_transforms = general_transforms + [
     reformat_award_reference,
     reformat_prior_references,
+    resize_award_reference,
 ]

backend/audit/intakelib/transforms/xform_resize_award_references.py

@@ -0,0 +1,27 @@
+import logging
+from audit.intakelib.intermediate_representation import (
+    get_range_by_name,
+    replace_range_by_name,
+)
+from audit.intakelib.checks.check_finding_award_references_pattern import (
+    AWARD_LEN_5_DIGITS,
+)
+
+logger = logging.getLogger(__name__)
+
+
+def resize_award_reference(ir):
+    references = get_range_by_name(ir, "award_reference")
+    new_values = list(map(_format_reference, references["values"]))
+    new_ir = replace_range_by_name(ir, "award_reference", new_values)
+
+    return new_ir
+
+
+def _format_reference(v):
+
+    if v and len(v) < AWARD_LEN_5_DIGITS:
+        parts = v.split("-")
+        padding = "0" * (AWARD_LEN_5_DIGITS - len(v))
+        return f"{parts[0]}-{padding}{parts[1]}"
+    return v

backend/audit/test_xform_resize_award_references.py

@@ -0,0 +1,53 @@
+from unittest.mock import patch
+
+from django.test import SimpleTestCase
+
+from audit.intakelib.transforms.xform_resize_award_references import (
+    _format_reference,
+    resize_award_reference,
+)
+
+
+class TestResizeAwardReference(SimpleTestCase):
+
+    @patch("audit.intakelib.transforms.xform_resize_award_references.get_range_by_name")
+    @patch(
+        "audit.intakelib.transforms.xform_resize_award_references.replace_range_by_name"
+    )
+    def test_resize_award_reference(
+        self, mock_replace_range_by_name, mock_get_range_by_name
+    ):
+        """Test the resize_award_reference function"""
+        ir = []
+        references = {
+            "values": [
+                "AWARD-123",  # Will need padding
+                "AWARD-4567",  # Will need padding
+                "AWARD-12345",  # Correct length, no padding
+                None,  # No change for None
+            ]
+        }
+        expected_new_values = [
+            "AWARD-00123",
+            "AWARD-04567",
+            "AWARD-12345",
+            None,
+        ]
+
+        mock_get_range_by_name.return_value = references
+        new_ir = resize_award_reference(ir)
+
+        mock_get_range_by_name.assert_called_once_with(ir, "award_reference")
+        mock_replace_range_by_name.assert_called_once_with(
+            ir, "award_reference", expected_new_values
+        )
+
+        self.assertEqual(new_ir, mock_replace_range_by_name.return_value)
+
+    def test_format_reference(self):
+        """Test the _format_reference function"""
+        self.assertEqual(_format_reference("AWARD-123"), "AWARD-00123")
+        self.assertEqual(_format_reference("AWARD-4567"), "AWARD-04567")
+        self.assertEqual(_format_reference("AWARD-12345"), "AWARD-12345")
+        self.assertEqual(_format_reference(None), None)
+        self.assertEqual(_format_reference(""), "")

backend/data_fixtures/audit/test_data_entries/federal-awards-audit-findings-entries.json

@@ -1,30 +1,30 @@
-[
-  {
-    "award_reference": "AWARD-0001",
-    "compliance_requirement": "AB",
-    "reference_number": "2023-001",
-    "repeat_prior_reference": "Y",
-    "prior_references": "2020-001",
-    "is_valid": "Y",
-    "questioned_costs": "N",
-    "significant_deficiency": "N",
-    "other_matters": "N",
-    "other_findings": "N",
-    "modified_opinion": "Y",
-    "material_weakness": "N"
-  },
-  {
-    "award_reference": "AWARD-0002",
-    "compliance_requirement": "E",
-    "reference_number": "2023-001",
-    "repeat_prior_reference": "N",
-    "prior_references": "N/A",
-    "is_valid": "Y",
-    "questioned_costs": "N",
-    "significant_deficiency": "N",
-    "other_matters": "Y",
-    "other_findings": "N",
-    "modified_opinion": "N",
-    "material_weakness": "Y"
-  }
-]
+[
+  {
+    "award_reference": "AWARD-00001",
+    "compliance_requirement": "AB",
+    "reference_number": "2023-001",
+    "repeat_prior_reference": "Y",
+    "prior_references": "2020-001",
+    "is_valid": "Y",
+    "questioned_costs": "N",
+    "significant_deficiency": "N",
+    "other_matters": "N",
+    "other_findings": "N",
+    "modified_opinion": "Y",
+    "material_weakness": "N"
+  },
+  {
+    "award_reference": "AWARD-00002",
+    "compliance_requirement": "E",
+    "reference_number": "2023-001",
+    "repeat_prior_reference": "N",
+    "prior_references": "N/A",
+    "is_valid": "Y",
+    "questioned_costs": "N",
+    "significant_deficiency": "N",
+    "other_matters": "Y",
+    "other_findings": "N",
+    "modified_opinion": "N",
+    "material_weakness": "Y"
+  }
+]