upgrade pydantic version (v2+)

dbt_af/__init__.py

@@ -3,6 +3,6 @@
     'conf',
 ]
 
-__version__ = '0.4.1'
+__version__ = '0.4.2'
 
 from . import conf, dags  # noqa

dbt_af/operators/base.py

@@ -5,7 +5,11 @@
 from tempfile import TemporaryDirectory
 from typing import Dict, Optional
 
-import pydantic
+try:
+    import pydantic.v1 as pydantic
+except ModuleNotFoundError:
+    import pydantic
+
 from airflow.operators.bash import BashOperator
 from airflow.utils.context import Context
 

dbt_af/parser/dbt_node_model.py

@@ -4,7 +4,11 @@
 from typing import Any, DefaultDict, Dict, List, Optional, Union
 
 import pendulum
-import pydantic
+
+try:
+    import pydantic.v1 as pydantic
+except ModuleNotFoundError:
+    import pydantic
 
 from dbt_af.common.constants import DOMAIN_DAG_START_DATE_FMT
 from dbt_af.common.scheduling import BaseScheduleTag, ScheduleTag

dbt_af/parser/dbt_profiles.py

@@ -1,6 +1,9 @@
 from typing import Any, Literal
 
-from pydantic import BaseModel, Field, root_validator
+try:
+    from pydantic.v1 import BaseModel, Field, root_validator
+except ModuleNotFoundError:
+    from pydantic import BaseModel, Field, root_validator
 
 KUBERNETES_TARGET_TYPE = 'kubernetes'
 

dbt_af/parser/dbt_source_model.py

@@ -1,7 +1,10 @@
 import os
 from typing import Any, Dict, List, Optional
 
-import pydantic
+try:
+    import pydantic.v1 as pydantic
+except ModuleNotFoundError:
+    import pydantic
 
 
 class _FreshnessAfterModel(pydantic.BaseModel):

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "dbt-af"
-version = "0.4.1"
+version = "0.4.2"
 description = "Distibuted dbt runs on Apache Airflow"
 authors = [
     "Nikita Yurasov <nikitayurasov@toloka.ai>",
@@ -24,7 +24,7 @@ packages = [
 python = ">=3.10,<4.0"
 attrs = "~23.1"
 apache-airflow = ">=2.6,<2.8.0"
-pydantic = "~1.10.7"
+pydantic = ">=1.10,<3.0.0"
 apache-airflow-providers-cncf-kubernetes = ">=7.0.0"
 cachetools = "~5.3"
 typer = "~0.9"