#1728: add pass_row as configurable parameter for field_update

# Description
As described in #1728, pass_row parameter is now added as an editable parameter for the field_update step. This allows us to use row data inside custom python function.

# Tests
Ensured the newly added unit test ` test_step_field_update_with_function_and_pass_row_true` runs without fail and also that all the previous test cases run and pass too.

frictionless/steps/field/__spec__/test_field_update.py

@@ -144,3 +144,31 @@ def test_step_field_update_referenced_as_foreign_key():
             "reference": {"fields": ["pkey"], "resource": "resource1"},
         }
     ]
+
+
+def test_step_field_update_with_function_and_pass_row_true():
+    source = TableResource(path="data/transform.csv")
+
+    def add_country_to_id(value, row):
+        return str(value) + " " + row["name"]
+
+    pipeline = Pipeline(
+        steps=[
+            steps.field_update(
+                name="id", function=add_country_to_id,
+                descriptor={"type": "string"}, pass_row=True)
+        ],
+    )
+    target = source.transform(pipeline)
+    assert target.schema.to_descriptor() == {
+        "fields": [
+            {"name": "id", "type": "string"},
+            {"name": "name", "type": "string"},
+            {"name": "population", "type": "integer"},
+        ]
+    }
+    assert target.read_rows() == [
+        {"id": "1 germany", "name": "germany", "population": 83},
+        {"id": "2 france", "name": "france", "population": 66},
+        {"id": "3 spain", "name": "spain", "population": 47},
+    ]

frictionless/steps/field/field_update.py

@@ -50,11 +50,16 @@ class field_update(Step):
     A descriptor for the field to set the metadata.
     """
 
+    pass_row: bool = False
+    """
+    Pass the entire row as a parameter for the transformation function when True.
+    """
+
     # Transform
 
     def transform_resource(self, resource: Resource):
         function = self.function
-        pass_row = False
+        pass_row = self.pass_row
         table = resource.to_petl()  # type: ignore
         descriptor = deepcopy(self.descriptor) or {}
         new_name = descriptor.get("name")
@@ -106,5 +111,6 @@ def transform_resource(self, resource: Resource):
             "value": {},
             "formula": {"type": "string"},
             "descriptor": {"type": "object"},
+            "pass_row": {"type": "boolean"},
         },
     }