Add more logging to figure out why raw kernel did not start (microsoft#14374)

* Some more logging * Some more logging

Author: rchiodo

src/client/datascience/interactive-common/interactiveBase.ts

@@ -943,6 +943,7 @@ export abstract class InteractiveBase extends WebviewPanelHost<IInteractiveWindo
  await this.ensureNotebook(serverConnection);
  }
  } catch (exc) {
+ traceError(`Exception attempting to start notebook: `, exc);
  // We should dispose ourselves if the load fails. Othewise the user
  // updates their install and we just fail again because the load promise is the same.
  await this.closeBecauseOfFailure(exc);

src/client/datascience/jupyter/jupyterNotebook.ts

@@ -277,6 +277,8 @@ export class JupyterNotebookBase implements INotebook {
  this.ranInitialSetup = true;
  this._workingDirectory = undefined;
 
+ traceInfo(`Initial setup for ${this.identity.toString()} starting ...`);
+
  try {
  // When we start our notebook initial, change to our workspace or user specified root directory
  await this.updateWorkingDirectoryAndPath();

src/client/datascience/raw-kernel/liveshare/hostRawNotebookProvider.ts

@@ -136,13 +136,15 @@ export class HostRawNotebookProvider
  notebookMetadata?: nbformat.INotebookMetadata,
  cancelToken?: CancellationToken
  ): Promise<INotebook> {
+ traceInfo(`Creating raw notebook for ${identity.toString()}`);
  const notebookPromise = createDeferred<INotebook>();
  this.setNotebook(identity, notebookPromise.promise);
 
  const progressReporter = !disableUI
  ? this.progressReporter.createProgressIndicator(localize.DataScience.connectingIPyKernel())
  : undefined;
 
+ traceInfo(`Computing working directory ${identity.toString()}`);
  const workingDirectory = await computeWorkingDirectory(resource, this.workspaceService);
 
  const rawSession = new RawJupyterSession(
@@ -156,6 +158,8 @@ export class HostRawNotebookProvider
  try {
  const launchTimeout = this.configService.getSettings().datascience.jupyterLaunchTimeout;
 
+ traceInfo(`Getting preferred kernel for ${identity.toString()}`);
+
  // We need to locate kernelspec and possible interpreter for this launch based on resource and notebook metadata
  const kernelConnectionMetadata = await this.kernelSelector.getPreferredKernelForLocalConnection(
  resource,
@@ -173,6 +177,7 @@ export class HostRawNotebookProvider
  ) {
  notebookPromise.reject('Failed to find a kernelspec to use for ipykernel launch');
  } else {
+ traceInfo(`Connecting to raw session for ${identity.toString()}`);
  await rawSession.connect(kernelConnectionMetadata, launchTimeout, cancelToken);
 
  // Get the execution info for our notebook