Updates to patching logic.

crudkit/core/service.py

@@ -10,7 +10,7 @@ from sqlalchemy.orm.attributes import InstrumentedAttribute
 from sqlalchemy.sql import operators
 from sqlalchemy.sql.elements import UnaryExpression, ColumnElement
 
-from crudkit.core import deep_diff, diff_to_patch
+from crudkit.core import deep_diff, diff_to_patch, filter_to_columns, normalize_payload
 from crudkit.core.base import Version
 from crudkit.core.spec import CRUDSpec
 from crudkit.core.types import OrderSpec, SeekWindow
@@ -661,41 +661,58 @@ class CRUDService(Generic[T]):
         session = self.session
         obj = session.get(self.model, id)
         if not obj:
-            raise ValueError("f{self.model.__name__} id ID {id} not found.")
+            raise ValueError(f"{self.model.__name__} with ID {id} not found.")
 
-        # Only touch real columns
-        valid = {c.name for c in self.model.__table__.columns}
-        unknown = set(data) - valid
-        if unknown:
-            raise ValueError(f"Unknown fields: {', '.join(sorted(unknown))}")
-
-        # BEFORE snapshot (non-lazy, columns-only is fine)
         before = obj.as_dict()
 
-        # Apply patch
+        # Normalize and restrict payload to real columns
-        for k, v in data.items():
+        norm = normalize_payload(data, self.model)
-            setattr(obj, k, v)
+        incoming = filter_to_columns(norm, self.model)
 
-        # If nothing changed at ORM level, bail early
+        # Build a synthetic "desired" state for top-level columns
-        if not session.is_modified(obj, include_collections=False):
+        desired = {**before, **incoming}
+
+        # Compute intended change set (before vs intended)
+        proposed = deep_diff(
+            before, desired,
+            ignore_keys={"id", "created_at", "updated_at"},
+            list_mode="index",
+        )
+        patch = diff_to_patch(proposed)
+
+        # Nothing to do
+        if not patch:
             return obj
 
+        # Apply only what actually changes
+        for k, v in patch.items():
+            setattr(obj, k, v)
+
+        # Optional: skip commit if ORM says no real change (paranoid check)
+        # Note: is_modified can lie if attrs are expired; use history for certainty.
+        dirty = any(inspect(obj).attrs[k].history.has_changes() for k in patch.keys())
+        if not dirty:
+            return obj
+
+        # Commit atomically
         session.commit()
 
+        # AFTER snapshot for audit
         after = obj.as_dict()
 
-        diff = deep_diff(
+        # Actual diff (captures triggers/defaults, still ignoring noisy keys)
-            before,
+        actual = deep_diff(
-            after,
+            before, after,
-            ignore_keys={"updated_at", "created_at", "id"},
+            ignore_keys={"id", "created_at", "updated_at"},
             list_mode="index",
         )
 
-        # If somehow no diff, do not spam versions
+        # If truly nothing changed post-commit (rare), skip version spam
-        if not(diff["added"] or diff["removed"] or diff["changed"]):
+        if not (actual["added"] or actual["removed"] or actual["changed"]):
             return obj
 
-        self._log_version("update", obj, actor, metadata={"diff": diff})
+        # Log both what we *intended* and what *actually* happened
+        self._log_version("update", obj, actor, metadata={"diff": actual, "patch": patch})
         return obj
 
     def delete(self, id: int, hard: bool = False, actor = None):

inventory/routes/entry.py

@@ -197,7 +197,7 @@ def init_entry_routes(app):
                 raise TypeError("Invalid model.")
 
             service = crudkit.crud.get_service(cls)
-            item = service.get(id, params)
+            service.update(id, data=payload, actor="update_entry")
 
             return {"status": "success", "payload": payload}
         except Exception as e:

inventory/routes/index.py

@@ -31,6 +31,8 @@ def init_index_routes(app):
             "limit": 0
         })
         rows = [item.as_dict() for item in inventory_report_rows]
+        chart_data = {}
+        if rows:
             df = pd.DataFrame(rows)
 
             xtab = pd.crosstab(df["condition"], df["device_type.description"]).astype(int)