Port updates from 0.207.1

.changes/unreleased/Fixes-20250124-140300.yaml

@@ -0,0 +1,6 @@
+kind: Fixes
+body: Fix `mf tutorial` experience.
+time: 2025-01-24T14:03:00.410289-08:00
+custom:
+  Author: plypaul
+  Issue: "1631"

.changes/unreleased/Fixes-20250124-181618.yaml

@@ -0,0 +1,6 @@
+kind: Fixes
+body: Compatibility Issue with dbt-core 1.9.0 and dbt-metricflow 0.7.1.
+time: 2025-01-24T18:16:18.536201-08:00
+custom:
+  Author: plypaul
+  Issue: "1589"

.changes/unreleased/Fixes-20250124-181706.yaml

@@ -0,0 +1,6 @@
+kind: Fixes
+body: dbt-core dependency issue with metricflow==0.207.0.
+time: 2025-01-24T18:17:06.936807-08:00
+custom:
+  Author: plypaul
+  Issue: "1632"

.github/actions/setup-python-env/action.yaml

@@ -5,7 +5,7 @@ inputs:
   python-version:
     description: "Version of Python to use for testing"
     required: false
-    default: "3.8"
+    default: "3.9"
   hatch-environment-cache-config-json:
     description: "Configuration JSON to be passed into the script to install `hatch` environments for caching."
     required: false

.github/workflows/cd-push-dbt-metricflow-to-pypi.yaml

@@ -7,7 +7,7 @@ on:
       - "dbt-metricflow/v[0-9]+.[0-9]+.[0-9]+*"
 
 env:
-  PYTHON_VERSION: "3.8"
+  PYTHON_VERSION: "3.9"
 
 jobs:
   pypi-publish:

.github/workflows/cd-push-metricflow-to-pypi.yaml

@@ -8,7 +8,7 @@ on:
       - "v[0-9]+.[0-9]+.[0-9]+*"
 
 env:
-  PYTHON_VERSION: "3.8"
+  PYTHON_VERSION: "3.9"
 
 jobs:
   pypi-publish:

dbt-metricflow/dbt_metricflow/__about__.py

@@ -1,3 +1,3 @@
 from __future__ import annotations
 
-__version__ = "0.7.0"
+__version__ = "0.8.0"

dbt-metricflow/dbt_metricflow/cli/__init__.py

@@ -1,3 +1,3 @@
 from __future__ import annotations
 
-PACKAGE_NAME = "metricflow"
+PACKAGE_NAME = "dbt-metricflow"

dbt-metricflow/dbt_metricflow/cli/cli_context.py → dbt-metricflow/dbt_metricflow/cli/cli_configuration.py

@@ -9,6 +9,7 @@
 from metricflow_semantics.mf_logging.lazy_formattable import LazyFormat
 from metricflow_semantics.model.semantic_manifest_lookup import SemanticManifestLookup
 
+from dbt_metricflow.cli import PACKAGE_NAME
 from dbt_metricflow.cli.dbt_connectors.adapter_backed_client import AdapterBackedSqlClient
 from dbt_metricflow.cli.dbt_connectors.dbt_config_accessor import dbtArtifacts, dbtProjectMetadata
 from metricflow.engine.metricflow_engine import MetricFlowEngine
@@ -17,24 +18,47 @@
 logger = logging.getLogger(__name__)
 
 
-class CLIContext:
-    """Context for the MetricFlow CLI."""
+class CLIConfiguration:
+    """Configuration object used for the MetricFlow CLI."""
 
-    def __init__(self) -> None:
-        """Initialize the CLI context for executing commands.
-
-        The dbt_artifacts construct must be loaded in order for logging configuration to work correctly.
-        """
+    def __init__(self) -> None:  # noqa: D107
         self.verbose = False
-        self._dbt_project_metadata: dbtProjectMetadata = dbtProjectMetadata.load_from_project_path(pathlib.Path.cwd())
+        self._dbt_project_metadata: Optional[dbtProjectMetadata] = None
         self._dbt_artifacts: Optional[dbtArtifacts] = None
         self._mf: Optional[MetricFlowEngine] = None
         self._sql_client: Optional[SqlClient] = None
         self._semantic_manifest: Optional[SemanticManifest] = None
         self._semantic_manifest_lookup: Optional[SemanticManifestLookup] = None
-        # self.log_file_path invokes the dbtRunner. If this is done after the configure_logging call all of the
-        # dbt CLI logging configuration could be overridden, resulting in lots of things printing to console
-        self._configure_logging(log_file_path=self.log_file_path)
+
+    def setup(self) -> None:
+        """Setup this configuration for executing commands.
+
+        The dbt_artifacts construct must be loaded in order for logging configuration to work correctly.
+        """
+        dbt_project_path = pathlib.Path.cwd()
+        try:
+            self._dbt_project_metadata = dbtProjectMetadata.load_from_project_path(dbt_project_path)
+
+            # self.log_file_path invokes the dbtRunner. If this is done after the configure_logging call all of the
+            # dbt CLI logging configuration could be overridden, resulting in lots of things printing to console
+            self._configure_logging(log_file_path=self.log_file_path)
+        except Exception as e:
+            exception_message = str(e)
+            if exception_message.find("Could not find adapter type") != -1:
+                raise RuntimeError(
+                    f"Got an error during setup, potentially due to a missing adapter package. Has the appropriate "
+                    f"adapter package (`{PACKAGE_NAME}[dbt-*]`) for the dbt project {str(dbt_project_path)!r} been "
+                    f"installed? If not please install it (e.g. `pip install '{PACKAGE_NAME}[dbt-duckdb]')."
+                ) from e
+            else:
+                raise e
+
+    def _get_dbt_project_metadata(self) -> dbtProjectMetadata:
+        if self._dbt_project_metadata is None:
+            raise RuntimeError(
+                f"{self.__class__.__name__}.setup() should have been called before accessing the configuration."
+            )
+        return self._dbt_project_metadata
 
     def _configure_logging(self, log_file_path: pathlib.Path) -> None:
         """Initialize the logging spec for the CLI.
@@ -70,13 +94,13 @@ def _configure_logging(self, log_file_path: pathlib.Path) -> None:
     @property
     def dbt_project_metadata(self) -> dbtProjectMetadata:
         """Property accessor for dbt project metadata, useful in cases where the full manifest load is not needed."""
-        return self._dbt_project_metadata
+        return self._get_dbt_project_metadata()
 
     @property
     def dbt_artifacts(self) -> dbtArtifacts:
         """Property accessor for all dbt artifacts, used for powering the sql client (among other things)."""
         if self._dbt_artifacts is None:
-            self._dbt_artifacts = dbtArtifacts.load_from_project_metadata(self._dbt_project_metadata)
+            self._dbt_artifacts = dbtArtifacts.load_from_project_metadata(self.dbt_project_metadata)
         return self._dbt_artifacts
 
     @property
@@ -85,7 +109,7 @@ def log_file_path(self) -> pathlib.Path:
         # The dbt Project.log_path attribute is currently sourced from the final runtime config value accessible
         # through the CLI state flags. As such, it will deviate from the default based on the DBT_LOG_PATH environment
         # variable. Should this behavior change, we will need to update this call.
-        return pathlib.Path(self._dbt_project_metadata.project.log_path, "metricflow.log")
+        return pathlib.Path(self.dbt_project_metadata.project.log_path, "metricflow.log")
 
     @property
     def sql_client(self) -> SqlClient: