Add Create Profiler Dashboard Command to the CLI

labs.yml

@@ -55,6 +55,20 @@ commands:
   - name: configure-database-profiler
     description: Configure database profiler
 
+  - name: create-profiler-dashboard
+    description: (Experimental) Upload the profiler results as a Databricks dashboard.
+    flags:
+      - name: extract-file
+        description: Path Location of the Profiler Extract File
+      - name: source-tech
+        description: Name of the Source System Technology that was Profiled
+      - name: volume-path
+        description: Unity Catalog Volume to upload the profiler extract
+      - name: catalog-name
+        description: (Optional) Name of the Catalog that extract data will be uploaded to
+      - name: schema-name
+        description: (Optional) Name of the Schema that the extract tables will be uploaded to
+
   - name: install-transpile
     description: Install & optionally configure 'transpile' dependencies
     flags:

src/databricks/labs/lakebridge/cli.py

@@ -827,6 +827,23 @@ def analyze(
         logger.debug(f"User: {ctx.current_user}")
 
 
+@lakebridge.command()
+def create_profiler_dashboard(
+    *,
+    w: WorkspaceClient,
+    extract_file: str,
+    source_tech: str,
+    volume_path: str,
+    catalog_name: str,
+    schema_name: str,
+) -> None:
+    """Deploys a profiler summary as a Databricks dashboard"""
+    ctx = ApplicationContext(w)
+    ctx.add_user_agent_extra("cmd", "create-profiler-dashboard")
+    ctx.dashboard_manager.upload_duckdb_to_uc_volume(extract_file, volume_path)
+    ctx.dashboard_manager.create_profiler_summary_dashboard(source_tech, catalog_name, schema_name)
+
+
 if __name__ == "__main__":
     app = lakebridge
     logger = app.get_logger()