Fix: Imports for seed column type inference to support older versions of dbt (#2332)

Author: izeigerman

setup.py

@@ -63,7 +63,6 @@
             "beautifulsoup4",
             "black==24.1.1",
             "cryptography~=41.0.7",
-            "dbt-common",
             "dbt-core",
             "dbt-duckdb>=1.7.1",
             "Faker",
@@ -114,7 +113,6 @@
         ],
         "dbt": [
             "dbt-core<2",
-            "dbt-common",
         ],
         "gcppostgres": [
             "cloud-sql-python-connector[pg8000]",

sqlmesh/dbt/seed.py

@@ -3,7 +3,15 @@
 import typing as t
 
 import agate
-from dbt_common.clients import agate_helper
+
+try:
+    from dbt_common.clients import agate_helper  # type: ignore
+
+    SUPPORTS_DELIMITER = True
+except ImportError:
+    from dbt.clients import agate_helper  # type: ignore
+
+    SUPPORTS_DELIMITER = False
 from sqlglot import exp
 
 from sqlmesh.core.model import Model, SeedKind, create_seed_model
@@ -29,7 +37,11 @@ def to_sqlmesh(self, context: DbtContext) -> Model:
         seed_path = self.path.absolute().as_posix()
         kwargs = self.sqlmesh_model_kwargs(context)
         if kwargs.get("columns") is None:
-            agate_table = agate_helper.from_csv(seed_path, [], delimiter=self.delimiter)
+            agate_table = (
+                agate_helper.from_csv(seed_path, [], delimiter=self.delimiter)
+                if SUPPORTS_DELIMITER
+                else agate_helper.from_csv(seed_path, [])
+            )
             kwargs["columns"] = {
                 name: AGATE_TYPE_MAPPING[tpe.__class__]
                 for name, tpe in zip(agate_table.column_names, agate_table.column_types)