-
Notifications
You must be signed in to change notification settings - Fork 294
How to debug the debugger
This page describes how to debug the jupyter extension and debugpy when the user is running a 'debug' command. You should probably read all of the debug topics to familiarize yourself with how debugging works before following the steps below.
When the user clicks Debug Cell in a notebook, there are a number of entrypoints (as shown in the sequence diagram on the other wiki page)
You can debug these entry points just like debugging anything in the extension:
- Set a breakpoint
- Launch 'Extension' debugger launch.json entry.
- Perform the user task to start debugging
Entry Point | Why you might start here | What the cause might be |
---|---|---|
Debugging Manager::startDebuggingConfig | Debug cell isn't starting the debugger. This is the main entrypoint and it's what tells VS code to start the debugger | Debug config may not match, so check the config when starting. |
Kernel Debug Adapter::handleMessage | Debug cell is starting the debugger (or entering debug mode) but breakpoints don't hit or the cell never looks like it's running. | The correct DAP messages are note being sent to the kernel. |
Kernel Debug Adapter::onIOPubMessage | Debug cell is starting the debugger (or entering debug mode) but breakpoints don't hit or the cell never looks like it's running. | The resulting DAP messages from the debugpy are referencing invalid paths or showing an error. |
Kernel Debug Adapter::dumpCell | Debug cell is starting the debugger and cell seems to run, but breakpoints don't bind or seem to jump around |
dumpCell may be creating output files not referencable by VS code (like remote paths) or line number translation could be off |
Kernel Debug Adapter::translate functions | Breakpoints move or don't bind. Wrong files open when stopping | File path translation is generating invalid paths for debugpy or there's a line number translation problem |
Okay so what if all of those entry points look good but debugpy just doesn't seem to respond correctly?
There are three things you can do to debug debugpy:
The easiest thing to do is turn on logging for debugpy with some environment variables:
Environment Variable | Value |
---|---|
PYDEVD_DEBUG | true |
DEBUGPY_LOG_DIR | directory that already exists |
PYDEVD_DEBUG_FILE | directory that already exists - use same as previous variable |
Launching VS code with these environment variables set will generate files like so in the directory specified:
These files are:
- debugpy.adapter - messages logged by the adapter process (process that is speaking DAP with VS code)
- debugpy.pydevd - messages logged by pydevd (generally has more information)
- debugpy.server - messages logged when debugpy is started in listen mode (more DAP messages)
Opening the adapter log should list out the the DAP messages and their contents. Here's an example:
D+00000.234: Client[1] --> {
"seq": 1,
"type": "request",
"command": "initialize",
"arguments": {
"clientID": "vscode",
"clientName": "Visual Studio Code - Insiders",
"adapterID": "Python Interactive Window Debug Adapter",
"pathFormat": "path",
"linesStartAt1": true,
"columnsStartAt1": true,
"supportsVariableType": true,
"supportsVariablePaging": true,
"supportsRunInTerminalRequest": true,
"locale": "en",
"supportsProgressReporting": true,
"supportsInvalidatedEvent": true,
"supportsMemoryReferences": true
}
}
This is:
- a message sent from the client (VS Code) indicated by
Client[1] -->
- an initialize message (first DAP message)
A response from the server would look like:
D+00000.281: Server[1] --> {
"pydevd_cmd_id": 502,
"seq": 10,
"type": "response",
"request_seq": 5,
"success": true,
"command": "initialize",
"body": {
"supportsConfigurationDoneRequest": true,
"supportsFunctionBreakpoints": true,
"supportsConditionalBreakpoints": true,
"supportsHitConditionalBreakpoints": true,
"supportsEvaluateForHovers": true,
"exceptionBreakpointFilters": [
{
"filter": "raised",
"label": "Raised Exceptions",
"default": false
},
{
"filter": "uncaught",
"label": "Uncaught Exceptions",
"default": true
},
{
"filter": "userUnhandled",
"label": "User Uncaught Exceptions",
"default": false
}
],
"supportsStepBack": false,
"supportsSetVariable": true,
"supportsRestartFrame": false,
"supportsGotoTargetsRequest": true,
"supportsStepInTargetsRequest": true,
"supportsCompletionsRequest": true,
"completionTriggerCharacters": [],
"supportsModulesRequest": true,
"additionalModuleColumns": [],
"supportedChecksumAlgorithms": [],
"supportsRestartRequest": false,
"supportsExceptionOptions": true,
"supportsValueFormattingOptions": true,
"supportsExceptionInfoRequest": true,
"supportTerminateDebuggee": true,
"supportsDelayedStackTraceLoading": true,
"supportsLoadedSourcesRequest": false,
"supportsLogPoints": true,
"supportsTerminateThreadsRequest": false,
"supportsSetExpression": true,
"supportsTerminateRequest": true,
"supportsDataBreakpoints": false,
"supportsReadMemoryRequest": false,
"supportsDisassembleRequest": false,
"supportsClipboardContext": true,
"supportsDebuggerProperties": true,
"pydevd": {
"processId": 21600
}
}
}
You can then verify that the server is responding with the expected messages and that they have expected results. For example you might verify that breakpoints on for the correct files, or that the stack frame response has the correct file in it.
Okay so what if the server isn't sending the correct messages?
You can actually debug debugpy's adapter server itself. It's the process that is sitting and listening to messages from VS code and
- Contribution
- Source Code Organization
- Coding Standards
- Profiling
- Coding Guidelines
- Component Governance
- Writing tests
- Kernels
- Intellisense
- Debugging
- IPyWidgets
- Extensibility
- Module Dependencies
- Errors thrown
- Jupyter API
- Variable fetching
- Import / Export
- React Webviews: Variable Viewer, Data Viewer, and Plot Viewer
- FAQ
- Kernel Crashes
- Jupyter issues in the Python Interactive Window or Notebook Editor
- Finding the code that is causing high CPU load in production
- How to install extensions from VSIX when using Remote VS Code
- How to connect to a jupyter server for running code in vscode.dev
- Jupyter Kernels and the Jupyter Extension