Psuedocode: Add MF commands to CLI

core/dbt/cli/context.py

@@ -1,5 +1,6 @@
 import click
 from typing import Optional
+import importlib
 
 from dbt.cli.main import cli as dbt
 
@@ -13,4 +14,23 @@ def make_context(args, command=dbt) -> Optional[click.Context]:
     ctx.invoked_subcommand = ctx.protected_args[0] if ctx.protected_args else None
     ctx.obj = {}
 
+    # Build MetricFlowClient if metricflow is installed (could move this to a click.option)
+    ctx.obj["mf_client"] = None
+    if importlib.util.find_spec("metricflow") is not None:
+        from metricflow.api.metricflow_client import MetricFlowClient
+        from metricflow.model.objects.user_configured_model import UserConfiguredModel
+        from metricflow.sql_clients.sql_utils import make_sql_client
+
+        # Fetch manifest and pull out what's needed to build UserConfiguredModel
+        user_configured_model = UserConfiguredModel()
+
+        # Parse profiles file to get DW connection details (url, pw, schema)
+        sql_client = make_sql_client(url="", password="")
+
+        ctx.obj["mf_client"] = MetricFlowClient(
+            user_configured_model=user_configured_model,
+            sql_client=sql_client,
+            system_schema="",
+        )
+
     return ctx

core/dbt/cli/main.py

@@ -622,6 +622,19 @@ snapshot_freshness.hidden = True
 cli.commands["source"].add_command(snapshot_freshness, "snapshot-freshness")  # type: ignore
 
 
+@cli.command("list-metrics")
+def list_metrics(ctx, **kwargs):
+    """Lists metrics defined in YAML files."""
+    mf_client = ctx.obj["mf_client"]
+    if mf_client is not None:
+        return mf_client.list_metrics()
+    else:
+        raise Exception("Please install `metricflow` to use this command.")
+
+
+# Other possible commands to add: list-dimensions, get-dimension-values, query, validate-configs
+
+
 # dbt test
 @cli.command("test")
 @click.pass_context