Fix: Coercion of string to integers when converting csv to agate tabl…

…es (#2918)

sqlmesh/dbt/seed.py

@@ -55,21 +55,22 @@ def to_sqlmesh(self, context: DbtContext) -> Model:
         )
 
 
-class Integer(agate.data_types.DataType):
-    def cast(self, d: str) -> t.Optional[int]:
-        if d is None:
-            return d
-        try:
-            return int(d)
-        except ValueError:
-            raise agate.exceptions.CastError('Can not parse value "%s" as Integer.' % d)
-
-    def jsonify(self, d: str) -> str:
+class Integer(agate_helper.Integer):
+    def cast(self, d: t.Any) -> t.Optional[int]:
+        if isinstance(d, str):
+            # The dbt's implementation doesn't support coercion of strings to integers.
+            if d.strip().lower() in self.null_values:
+                return None
+            try:
+                return int(d)
+            except ValueError:
+                raise agate.exceptions.CastError('Can not parse value "%s" as Integer.' % d)
+        return super().cast(d)
+
+    def jsonify(self, d: t.Any) -> str:
         return d
 
 
-# The dbt version has a bug in which they check whether the type of the input value
-# is int, while the input value is actually always a string.
 agate_helper.Integer = Integer  # type: ignore
 
 

tests/dbt/test_transformation.py

@@ -1,3 +1,5 @@
+import agate
+from datetime import datetime
 import json
 import logging
 import typing as t
@@ -34,7 +36,7 @@
 from sqlmesh.dbt.model import Materialization, ModelConfig
 from sqlmesh.dbt.project import Project
 from sqlmesh.dbt.relation import Policy
-from sqlmesh.dbt.seed import SeedConfig
+from sqlmesh.dbt.seed import SeedConfig, Integer
 from sqlmesh.dbt.target import BigQueryConfig, DuckDbConfig, SnowflakeConfig
 from sqlmesh.dbt.test import TestConfig
 from sqlmesh.utils.errors import ConfigError, MacroEvalError, SQLMeshError
@@ -402,6 +404,7 @@ def test_seed_column_inference(tmp_path):
         fd.write("int_col,double_col,datetime_col,date_col,boolean_col,text_col\n")
         fd.write("1,1.2,2021-01-01 00:00:00,2021-01-01,true,foo\n")
         fd.write("2,2.3,2021-01-02 00:00:00,2021-01-02,false,bar\n")
+        fd.write("null,,null,,,null\n")
 
     seed = SeedConfig(
         name="test_model",
@@ -423,6 +426,23 @@ def test_seed_column_inference(tmp_path):
     }
 
 
+def test_agate_integer_cast():
+    agate_integer = Integer(null_values=("null", ""))
+    assert agate_integer.cast("1") == 1
+    assert agate_integer.cast(1) == 1
+    assert agate_integer.cast("null") is None
+    assert agate_integer.cast("") is None
+
+    with pytest.raises(agate.exceptions.CastError):
+        agate_integer.cast("1.2")
+
+    with pytest.raises(agate.exceptions.CastError):
+        agate_integer.cast(1.2)
+
+    with pytest.raises(agate.exceptions.CastError):
+        agate_integer.cast(datetime.now())
+
+
 @pytest.mark.xdist_group("dbt_manifest")
 def test_model_dialect(sushi_test_project: Project, assert_exp_eq):
     model_config = ModelConfig(