feat(approvals): enhance approval model with task titles and confidence as float

backend/tests/test_approvals_schema.py

@@ -0,0 +1,60 @@
+from __future__ import annotations
+
+import pytest
+from pydantic import ValidationError
+
+from app.schemas.approvals import ApprovalCreate
+
+
+def test_approval_create_requires_confidence_score() -> None:
+    with pytest.raises(ValidationError, match="confidence"):
+        ApprovalCreate.model_validate(
+            {
+                "action_type": "task.update",
+                "payload": {"reason": "Missing confidence should fail."},
+            },
+        )
+
+
+@pytest.mark.parametrize("confidence", [-1.0, 101.0])
+def test_approval_create_rejects_out_of_range_confidence(confidence: float) -> None:
+    with pytest.raises(ValidationError, match="confidence"):
+        ApprovalCreate.model_validate(
+            {
+                "action_type": "task.update",
+                "payload": {"reason": "Confidence must be in range."},
+                "confidence": confidence,
+            },
+        )
+
+
+def test_approval_create_requires_lead_reasoning() -> None:
+    with pytest.raises(ValidationError, match="lead reasoning is required"):
+        ApprovalCreate.model_validate(
+            {
+                "action_type": "task.update",
+                "confidence": 80,
+            },
+        )
+
+
+def test_approval_create_accepts_nested_decision_reason() -> None:
+    model = ApprovalCreate.model_validate(
+        {
+            "action_type": "task.update",
+            "confidence": 80,
+            "payload": {"decision": {"reason": "Needs manual approval."}},
+        },
+    )
+    assert model.payload == {"decision": {"reason": "Needs manual approval."}}
+
+
+def test_approval_create_accepts_float_confidence() -> None:
+    model = ApprovalCreate.model_validate(
+        {
+            "action_type": "task.update",
+            "confidence": 88.75,
+            "payload": {"reason": "Fractional confidence should be preserved."},
+        },
+    )
+    assert model.confidence == 88.75