Update deploy.py

dltflow/cli/deploy.py

@@ -47,7 +47,7 @@
 import sys
 import yaml
 import pathlib
-sys.path.append('{package_namespace}')
+sys.path.append('/dbfs{package_namespace}')
 """
 
 _CODE_IMPORT_AND_LAUNCH_CELLS = """
@@ -67,12 +67,13 @@
 
 
 def upload_py_package_to_workspace(
-    run_id: str,
-    dbfs_path: pathlib.Path,
-    package_path: pathlib.Path,
-    files: list,
-    profile: str,
-    ws_client: WorkspaceClient = None,
+        run_id: str,
+        dbfs_path: pathlib.Path,
+        package_path: pathlib.Path,
+        config_path: pathlib.Path,
+        files: list,
+        profile: str,
+        ws_client: WorkspaceClient = None,
 ):
     """
     Upload a python package to the Databricks workspace. The logic being leveraged by
@@ -108,13 +109,18 @@ def upload_py_package_to_workspace(
     dbx_echo(f"Upload directory: [yellow]`{upload_dbfs_path}`")
     ws_client.dbfs.mkdirs(str(upload_dbfs_path))
 
-    for file in files:
-        file = pathlib.Path(file).absolute()
-        ws_client.dbfs.copy(
-            f"file://{file}/",
-            str(upload_dbfs_path),
-            recursive=True,
-        )
+    ws_client.dbfs.copy(f"file://{package_path}/", str(upload_dbfs_path), recursive=True)
+    ws_client.dbfs.copy(f'file://{config_path}/', str(upload_dbfs_path), recursive=True)
+
+    # for file in files:
+    #     file = pathlib.Path(file).absolute()
+    #     parent_dir = file.parent
+    #     ws_client.dbfs.mkdirs(str(parent_dir))
+    #     ws_client.dbfs.copy(
+    #         f"file://{file}/",
+    #         str(upload_dbfs_path),
+    #         recursive=True,
+    #     )
     dbx_echo(f"📦📤 [green]Upload complete!")
     return "/dbfs" + str(upload_dbfs_path)
 
@@ -160,10 +166,10 @@ def get_module_info_from_path_name(project_name, project_path, module_path: str)
 
 
 def create_notebook_and_upload(
-    ws_client: WorkspaceClient,
-    dbfs_path: pathlib.Path,
-    notebook_name: str,
-    notebook_src: str,
+        ws_client: WorkspaceClient,
+        dbfs_path: pathlib.Path,
+        notebook_name: str,
+        notebook_src: str,
 ):
     """
     This function creates a DLT pipeline notebook and uploads it to the Databricks workspace.
@@ -206,15 +212,16 @@ def create_notebook_and_upload(
 
 
 def deploy_py_module_as_notebook(
-    run_id: str,
-    ws_client: WorkspaceClient,
-    project_name: str,
-    workflow_name: str,
-    dbfs_path: pathlib.Path,
-    package_path: pathlib.Path,
-    items: list,
-    dependencies: list = None,
-    launch_method: str = "launch",
+        run_id: str,
+        ws_client: WorkspaceClient,
+        project_name: str,
+        workflow_name: str,
+        dbfs_path: pathlib.Path,
+        package_path: pathlib.Path,
+        config_path: pathlib.Path,
+        items: list,
+        dependencies: list = None,
+        launch_method: str = "launch",
 ):
     """
     This function deploys a python module as a DLT pipeline to the Databricks workspace.
@@ -253,7 +260,7 @@ def deploy_py_module_as_notebook(
     )
 
     for item in items:
-        cfg = f'config_path = "{str(package_namespace.joinpath(item.get("config_path")))}"'
+        cfg = f'config_path = "/dbfs{str(package_namespace.joinpath(item.get("config_path")))}"'
         class_name, import_path = get_module_info_from_path_name(
             project_name, package_path, item.get("python_file")
         )
@@ -268,6 +275,7 @@ def deploy_py_module_as_notebook(
             run_id=run_id,
             dbfs_path=dbfs_path,
             package_path=package_path,
+            config_path=config_path,
             files=item.values(),
             profile=ws_client.config.profile,
             ws_client=ws_client,
@@ -287,11 +295,11 @@ def deploy_py_module_as_notebook(
 
 
 def register_notebook_as_dlt_pipeline(
-    ws_client: WorkspaceClient,
-    notebook_path: str,
-    pipeline_payload: DLTFlowPipeline,
-    project_conf,
-    as_individual: bool,
+        ws_client: WorkspaceClient,
+        notebook_path: str,
+        pipeline_payload: DLTFlowPipeline,
+        project_conf,
+        as_individual: bool,
 ):  # pragma: no cover
     """
     Register a notebook as a DLT pipeline in the Databricks workspace.
@@ -329,7 +337,7 @@ def register_notebook_as_dlt_pipeline(
 
 
 def handle_deployment_per_file_config_dependency(
-    workflow_name, items, dependencies, deployment_config, profile, as_individual: bool
+        workflow_name, items, dependencies, deployment_config, profile, as_individual: bool
 ):
     """
     A helper function to handle the deployment of a python module as a DLT pipeline.
@@ -353,7 +361,7 @@ def handle_deployment_per_file_config_dependency(
     config: ProjectConfig = get_config()
     project_path = pathlib.Path(".")
     _code_path = project_path.joinpath(config.include.code.name).resolve()
-    _cfg_path = project_path.joinpath(config.include.conf.name)
+    _cfg_path = project_path.joinpath(config.include.conf.name).resolve()
     assert profile in config.targets, f"Profile {profile} not found in config file."
     _target_config = config.targets.get(profile)
     _dbfs_path = pathlib.Path(config.targets.get(profile).workspace.root_path)
@@ -367,6 +375,7 @@ def handle_deployment_per_file_config_dependency(
         workflow_name=workflow_name,
         dbfs_path=_dbfs_path,
         package_path=_code_path,
+        config_path=_cfg_path,
         items=items,
         dependencies=dependencies,
         launch_method=config.include.code.dict().get("launch_method", "launch"),