feat: initial project setup

data_platform/__init__.py

@@ -0,0 +1,3 @@
+from data_platform.definitions import defs
+
+__all__ = ["defs"]

data_platform/definitions.py

@@ -0,0 +1,36 @@
+from pathlib import Path
+
+from dagster import Definitions
+from dagster_dbt import DbtCliResource, DbtProject, dbt_assets
+
+# ---------------------------------------------------------------------------
+# dbt project
+# ---------------------------------------------------------------------------
+
+DBT_PROJECT_DIR = Path(__file__).parent.parent / "dbt"
+
+dbt_project = DbtProject(project_dir=str(DBT_PROJECT_DIR))
+
+# When running locally outside Docker, generate/refresh the manifest automatically.
+dbt_project.prepare_if_dev()
+
+
+# ---------------------------------------------------------------------------
+# dbt assets – every dbt model/test/snapshot becomes a Dagster asset
+# ---------------------------------------------------------------------------
+
+@dbt_assets(manifest=dbt_project.manifest_path)
+def dbt_project_assets(context, dbt: DbtCliResource):
+    yield from dbt.cli(["build"], context=context).stream()
+
+
+# ---------------------------------------------------------------------------
+# Definitions
+# ---------------------------------------------------------------------------
+
+defs = Definitions(
+    assets=[dbt_project_assets],
+    resources={
+        "dbt": DbtCliResource(project_dir=str(DBT_PROJECT_DIR)),
+    },
+)