added 1580 for 24_25

cin_validator/rules/cin2024_25/rule_1580.py

@@ -0,0 +1,64 @@
+from typing import Mapping
+
+import pandas as pd
+
+from cin_validator.rule_engine import (
+    CINTable,
+    IssueLocator,
+    RuleContext,
+    rule_definition,
+)
+from cin_validator.test_engine import run_rule
+
+ChildIdentifiers = CINTable.ChildIdentifiers
+LAchildID = ChildIdentifiers.LAchildID
+
+
+@rule_definition(
+    code="1580",
+    module=CINTable.ChildIdentifiers,
+    message="LA Child ID must not contain any non-alphanumeric characters",
+    affected_fields=[LAchildID],
+)
+def validate(
+    data_container: Mapping[CINTable, pd.DataFrame], rule_context: RuleContext
+):
+    df = data_container[ChildIdentifiers].copy()
+    non_alphanumeric = df[df["LAchildID"].str.isalnum() == False]
+
+    failing_indices = non_alphanumeric.index
+
+    rule_context.push_issue(
+        table=ChildIdentifiers, field=LAchildID, row=failing_indices
+    )
+
+
+def test_validate():
+    # Create some sample data such that some values pass the validation and some fail.
+    # Sidenote: a typical Header table will only have one row.
+    sample_ci = pd.DataFrame(
+        {
+            "LAchildID": [
+                "XXXXXXXXXXXXXXXXXXXX",
+                "XXXXXXXXXXXXXXXXXXX",
+                "XXXXXXXXXXXXXXXXXXXX;",  # non-alphanumeric characters, fail
+            ]
+        }
+    )
+
+    result = run_rule(validate, {ChildIdentifiers: sample_ci})
+
+    issues = list(result.issues)
+    # Intended fail points in data.
+    assert len(issues) == 1
+    # Intended failures of test data by index.
+    assert issues == [
+        IssueLocator(CINTable.ChildIdentifiers, LAchildID, 2),
+    ]
+
+    # Checks rule code and message are correct.
+    assert result.definition.code == "1580"
+    assert (
+        result.definition.message
+        == "LA Child ID must not contain any non-alphanumeric characters"
+    )