New user questions for debugging in python

[aclifton314]

I posted this in issues, but it seems it's better suited here in a discussion. Below is the original post.

emacs=30.1
python=3.12
poetry=1.8.3
debugpy=1.8.15

I am having a difficult time understanding how to use dape properly for python. I have a project I am building using poetry and have created a simple script below called myscript.py:

import pandas as pd

data = {"Name": ["Tom", "nick", "katie", "jack"], "Age": [20, 21, 19, 18]}
df = pd.DataFrame(data)
print(df)

In my config.el I have:

(require 'dape)
(setq dape-debug t)
(add-to-list 'dape-configs
             `(debugpy
               modes (python-ts-mode python-mode)
               command "python"
               command-args ("-m" "debugpy.adapter")
               :type "python"
               :request "launch"
               :custom (dape-cwd-function 'projectile-project-root)
               :justMyCode t
               :showReturnValue t
               :cwd dape-cwd-fn
               :program "/path/to/myscript.py"))

(use-package repeat
  :custom
  (repeat-mode +1))

In myscript.py I put a breakpoint at print(df) using dape-breakpoint-toggle. I run dape and am prompted in a minibuffer to run an adapter. Currently it says Run adapter: debugpy which I assume is correct.

I get the following in dape-repl:

* Welcome to the Dape REPL *
Available Dape commands: debug, next, continue, pause, step, out, up, down, threads, stack, modules, sources, breakpoints, scope, watch, restart, kill, disconnect, quit
Empty input will rerun last command.

* Adapter started with "python -m debugpy.adapter" *
* Process launched /path/to/myscript.py *
ModuleNotFoundError:
	No module named 'pandas'
> 

and here is what I get in dape-connection events:

[jsonrpc] e[09:11:36.212] <-- configurationDone[5] {"seq": 11, "type": "response", "request_seq": 5, "success": true, "command": "configurationDone"}
[jsonrpc] e[09:11:36.212] <-- launch[2] {"seq": 12, "type": "response", "request_seq": 2, "success": true, "command": "launch"}
[jsonrpc] e[09:11:36.212] <-- process {"seq": 13, "type": "event", "event": "process", "body": {"startMethod": "launch", "isLocalProcess": true, "systemProcessId": 4107, "name": "path/to/myscript.py", "pointerSize": 64}}
[jsonrpc] e[09:11:36.216] <-- thread {"seq": 14, "type": "event", "event": "thread", "body": {"reason": "started", "threadId": 1}}
[jsonrpc] e[09:11:36.216] --> threads[6] {"type":"request","seq":6,"command":"threads"}
[jsonrpc] e[09:11:36.271] <-- threads[6] {"seq": 15, "type": "response", "request_seq": 6, "success": true, "command": "threads", "body": {"threads": [{"id": 1, "name": "MainThread"}]}}
[jsonrpc] e[09:11:36.271] <-- stopped {"seq": 16, "type": "event", "event": "stopped", "body": {"reason": "exception", "description": "No module named 'pandas'", "threadId": 1, "preserveFocusHint": false, "text": "ModuleNotFoundError", "allThreadsStopped": true}}
[jsonrpc] e[09:11:36.273] --> threads[7] {"type":"request","seq":7,"command":"threads"}
[jsonrpc] e[09:11:36.325] <-- threads[7] {"seq": 17, "type": "response", "request_seq": 7, "success": true, "command": "threads", "body": {"threads": [{"id": 1, "name": "MainThread"}]}}
[jsonrpc] e[09:11:36.325] --> stackTrace[8] {"type":"request","seq":8,"command":"stackTrace","arguments":{"threadId":1,"startFrame":0,"levels":1}}
[jsonrpc] e[09:11:36.390] <-- stackTrace[8] {"seq": 18, "type": "response", "request_seq": 8, "success": true, "command": "stackTrace", "body": {"stackFrames": [{"id": 2, "name": "<module>", "line": 1, "column": 1, "source": {"path": "/home/user//path/to/myscript.py", "sourceReference": 0}, "endColumn": 20}], "totalFrames": 1}}
[jsonrpc] e[09:11:36.397] --> scopes[9] {"type":"request","seq":9,"command":"scopes","arguments":{"frameId":2}}
[jsonrpc] e[09:11:36.397] <-- module {"seq": 19, "type": "event", "event": "module", "body": {"reason": "new", "module": {"id": 0, "name": "__main__", "path": "/home/user/path/to/myscript.py"}}}
[jsonrpc] e[09:11:36.397] <-- module {"seq": 20, "type": "event", "event": "module", "body": {"reason": "new", "module": {"id": 1, "name": "runpy", "path": "/home/user/miniconda3/lib/python3.13/runpy.py"}}}
[jsonrpc] e[09:11:36.451] <-- scopes[9] {"seq": 21, "type": "response", "request_seq": 9, "success": true, "command": "scopes", "body": {"scopes": [{"name": "Locals", "variablesReference": 3, "expensive": false, "presentationHint": "locals", "source": {}}, {"name": "Globals", "variablesReference": 4, "expensive": false, "source": {}}]}}
[jsonrpc] e[09:11:36.503] --> variables[10] {"type":"request","seq":10,"command":"variables","arguments":{"variablesReference":3}}
[jsonrpc] e[09:11:36.504] --> variables[11] {"type":"request","seq":11,"command":"variables","arguments":{"variablesReference":4}}
[jsonrpc] e[09:11:36.516] <-- variables[10] {"seq": 22, "type": "response", "request_seq": 10, "success": true, "command": "variables", "body": {"variables": [{"name": "special variables", "value": "", "type": "", "evaluateName": "special variables", "variablesReference": 5}]}}
[jsonrpc] e[09:11:36.574] <-- variables[11] {"seq": 23, "type": "response", "request_seq": 11, "success": true, "command": "variables", "body": {"variables": [{"name": "special variables", "value": "", "type": "", "evaluateName": "special variables", "variablesReference": 6}]}}
[jsonrpc] e[09:11:38.058] --> evaluate[12] {"type":"request","seq":12,"command":"evaluate","arguments":{"frameId":2,"expression":"import","context":"hover"}}
[jsonrpc] e[09:11:38.088] <-- evaluate[12] {"seq": 24, "type": "response", "request_seq": 12, "success": false, "command": "evaluate", "message": "Exception occurred during evaluation."}

If I run myscript.py using poetry run python myscript.py, it runs successfully.

I'm very new to dape so I apologize if these questions are simple.

1. How do I get dapeto automatically run on whichever python buffer I am instead of having to edit :program?
2. How do I disconnect and quit out of dape and close all the open buffers in one go instead of having to close them individually?
3. How do I correct this error above?

Thank you in advance for your help!