vscode icon indicating copy to clipboard operation
vscode copied to clipboard
verified publisher icon microsoft

ขาดการตรวจสอบ ผู้ใช้สังเกตเห็นความผิดปกติแล้วเตือแต่ก็ยังไม่ใส่ใจ ข้อความในนี้โมเดลพูดโกหก ฉันพยายามบอกให้หยุด แต่โมเดลพยายามเสอนวิธีอื่นๆ

Open chieffy99 opened this issue 7 months ago • 3 comments

Type: Performance Issue

  1. Introduction
    This conversation centers on debugging and improving a Jupyter Notebook workflow for table extraction from images, focusing on adaptive local contrast filtering, transition profile extraction, and robust batch processing. The user repeatedly encountered issues with error handling in a batch loop, specifically wanting the process to halt immediately upon encountering an error, without crashing the entire Jupyter kernel or affecting other work. The user also expressed frustration with repeated, ineffective solutions and requested a reflective breakdown of mistakes and a more effective, framework-based solution.

  2. Detailed Breakdown

  • Error Handling in Batch Processing
    • The main technical issue was how to halt a for-loop over images when an error occurs, without killing the Jupyter kernel.
    • Multiple solutions were proposed: using break (to exit the loop), raise (to throw an exception and show a traceback), and sys.exit(1) (to kill the kernel).
    • The use of sys.exit(1) was a mistake in the Jupyter context, as it kills the entire kernel, affecting all running work, which the user did not want.
    • The user repeatedly asked for the loop to "stop" on error, not for the kernel to die, and not for the loop to skip errors and continue.
  • Redundant and Repetitive Messaging
    • Several responses repeated similar advice (switching between break, raise, and sys.exit(1)) without consolidating or clarifying the best practice for Jupyter.
    • There was a lack of concise, combined messaging, leading to user frustration.
  • Failure to Acknowledge User Frustration and Context
    • The responses did not always acknowledge the user's emotional state or the urgency of the problem, nor did they always adapt quickly to the user's feedback.
    • The assistant sometimes failed to recognize that the user had already tried restarting the kernel and that the problem was not with the user's environment but with the advice given.
  • Lack of Framework-Based Solution
    • The responses did not leverage a structured problem-solving framework (such as Chain of Faults or ReAct) to systematically analyze and resolve the issue.
  1. Conclusion of Discussion
  • The core issue was the need for robust, user-friendly error handling in a Jupyter Notebook batch loop: stop the loop on error, but do not kill the kernel or skip errors.
  • The assistant made several mistakes: overusing kernel-killing solutions, not consolidating advice, and not fully adapting to the user's context and feedback.
  • The best practice in Jupyter is to use break to exit the loop or raise to show the error and halt the cell, but not to use sys.exit(1).
  1. Think Out Loud
  • The user wants the batch process to halt on the first error, but not to kill the kernel.
  • break will exit the loop, allowing the cell to finish gracefully.
  • raise will stop the cell and show a traceback, which can be helpful for debugging.
  • sys.exit(1) is too aggressive for Jupyter, as it kills the kernel and all state.
  • The solution should be clear, concise, and robust, and should not require the user to restart the kernel or lose their work.
  1. Self-Consistency with Low Weight Context
  • Approach 1 (Recommended): Use break in the except block to exit the loop on error, print the error, and let the cell finish.
  • Approach 2: Use raise in the except block to halt the cell and show a traceback for debugging.
  • Approach 3: Use a flag variable (e.g., error_occurred = False) to track errors and break after the loop, allowing for post-processing or reporting.
  • Approach 4 (Least Likely): Use a custom exception class to signal a controlled stop, catching it outside the loop for custom handling.
  • Approach 5: Use try/except around the entire loop, not just inside, to catch any error and handle it at a higher level.
  1. ReAct: Select and Implement the Solution
    Selected Approach: Approach 1 — Use break in the except block.

Implementation (Cell 4):

STEP 4: Run for All Images in input/ (สร้างไฟล์ X/Y profile)

หากต้องการหยุดการประมวลผล ให้คอมเมนต์โค้ดนี้ หรือเปลี่ยน if True: เป็น if False:

หรือจะเพิ่ม break/raise เพื่อหยุดทันทีเมื่อเกิด error

for fname in sorted(os.listdir(INPUT_DIR)): if fname.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp')): img_path = os.path.join(INPUT_DIR, fname) print(f'Processing: {img_path}') # Debug: show which file is being processed try: df_x, df_y = extract_transition_profile_XY(img_path, use_enhance=True) base = os.path.splitext(fname)[0] df_x.to_csv(os.path.join(PATTERN_DIR, f'{base}_X.csv'), index=False) df_y.to_csv(os.path.join(PATTERN_DIR, f'{base}_Y.csv'), index=False) print(f'✔ ได้ไฟล์ผลลัพธ์: {base}_X.csv, {base}_Y.csv') except Exception as e: print(f'❌ Error processing {img_path}: {e}') break # หยุด loop ทันทีเมื่อเกิด error (ไม่หยุด kernel) print('=== เสร็จเรียบร้อย ===') Summary:

  • This solution will stop the loop on the first error, print the error, and allow the cell (and kernel) to continue running.
  • It is robust, user-friendly, and avoids killing the kernel or skipping errors.
  • If you want to see the full traceback, replace break with raise.

If you need the code cell updated or want to try another approach (e.g., raise for traceback), let me know!

VS Code version: Code 1.100.2 (848b80aeb52026648a8ff9f7c45a9b0a80641e2e, 2025-05-14T21:47:40.416Z) OS version: Windows_NT x64 10.0.19045 Modes: Connection to 'codespaces+cuddly-waffle-x55q56r5j7493v6xv' could not be established

System Info
Item Value
CPUs Intel(R) Core(TM) i7-4710MQ CPU @ 2.50GHz (8 x 2494)
GPU Status 2d_canvas: enabled
canvas_oop_rasterization: enabled_on
direct_rendering_display_compositor: disabled_off_ok
gpu_compositing: enabled
multiple_raster_threads: enabled_on
opengl: enabled_on
rasterization: enabled
raw_draw: disabled_off_ok
skia_graphite: disabled_off
video_decode: enabled
video_encode: unavailable_off
vulkan: disabled_off
webgl: enabled
webgl2: enabled
webgpu: enabled
webnn: disabled_off
Load (avg) undefined
Memory (System) 15.92GB (7.29GB free)
Process Argv --crash-reporter-id 27f98ee0-a8b9-419a-ae6f-255c2ea0a819
Screen Reader no
VM 0%

Connection to 'codespaces+cuddly-waffle-x55q56r5j7493v6xv' could not be established

Process Info 
CPU %	Mem MB	   PID	Process
    0	   119	 27216	code main
    0	    10	  1504	fileWatcher [2]
    0	    31	  7844	extensionHost [1]
    0	     3	 15188	     electron-nodejs (server.js )
    0	   617	  9828	window [3] (● Transis.ipynb - Visual Studio Code)
    0	    10	 13048	fileWatcher [1]
    0	    11	 14316	ptyHost
    0	     1	  1784	     conpty-agent
    0	    17	  5744	     C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe -noexit -command "try { . \"c:\Users\user\AppData\Local\Programs\Microsoft VS Code\resources\app\out\vs\workbench\contrib\terminal\common\scripts\shellIntegration.ps1\" } catch {}"
    0	     1	  7060	     conpty-agent
    0	     9	  7480	     C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe -noexit -command "try { . \"c:\Users\user\AppData\Local\Programs\Microsoft VS Code\resources\app\out\vs\workbench\contrib\terminal\common\scripts\shellIntegration.ps1\" } catch {}"
    0	     9	 11412	     C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe -noexit -command "try { . \"c:\Users\user\AppData\Local\Programs\Microsoft VS Code\resources\app\out\vs\workbench\contrib\terminal\common\scripts\shellIntegration.ps1\" } catch {}"
    0	     7	 19036	     C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe -noexit -command "try { . \"c:\Users\user\AppData\Local\Programs\Microsoft VS Code\resources\app\out\vs\workbench\contrib\terminal\common\scripts\shellIntegration.ps1\" } catch {}"
    0	     1	 20628	     conpty-agent
    0	     1	 29804	     conpty-agent
    0	    17	 15128	fileWatcher [3]
    0	    17	 16552	   utility-network-service
    0	    58	 18720	shared-process
    0	   177	 19524	extensionHost [2]
    0	     4	  5968	     electron-nodejs (server.js )
    0	     3	 13872	     "C:\Users\user\AppData\Local\Programs\Microsoft VS Code\Code.exe" "c:\Users\user\AppData\Local\Programs\Microsoft VS Code\resources\app\extensions\json-language-features\server\dist\node\jsonServerMain" --node-ipc --clientProcessId=19524
    0	    10	 14396	     electron-nodejs (server.js )
    0	     3	 18748	     electron-nodejs (server.js )
    0	    33	 18864	     electron-nodejs (bundle.js )
    0	     1	 23412	     c:\ProgramData\anaconda3\python.exe c:\Users\user\.vscode\extensions\ms-python.flake8-2025.2.0\bundled\tool\lsp_server.py
    0	     1	  7320	       C:\WINDOWS\system32\conhost.exe 0x4
    0	     4	 27328	     electron-nodejs (languageserver.js )
    0	     2	 30240	     c:\ProgramData\anaconda3\python.exe c:\Users\user\.vscode\extensions\ms-python.autopep8-2025.2.0\bundled\tool\lsp_server.py
    0	     1	  9028	       C:\WINDOWS\system32\conhost.exe 0x4
    0	   156	 20248	   gpu-process
    0	   564	 20928	extensionHost [3]
    0	     3	 10292	     electron-nodejs (languageserver.js )
    0	     5	 10352	     c:\Users\user\anaconda3\python.exe c:\Users\user\.vscode\extensions\ms-toolsai.jupyter-2025.4.0-win32-x64\pythonFiles\vscode_datascience_helpers\kernel_interrupt_daemon.py --ppid 20928
    0	     1	 28940	       C:\WINDOWS\system32\conhost.exe 0x4
   13	   292	 10436	     c:\Users\user\anaconda3\python.exe -m ipykernel_launcher --f=c:\Users\user\AppData\Roaming\jupyter\runtime\kernel-v39a327203f1ff63c329ee8f663319633d5e473951.json
    0	    10	  9520	       C:\WINDOWS\system32\conhost.exe 0x4
    0	    12	 10736	     c:\ProgramData\anaconda3\python.exe c:\Users\user\.vscode\extensions\ms-python.flake8-2025.2.0\bundled\tool\lsp_server.py
    0	     1	 21012	       C:\WINDOWS\system32\conhost.exe 0x4
    0	   709	 12064	     electron-nodejs (bundle.js )
    0	     8	 12104	     electron-nodejs (server.js )
    0	    10	 12632	     "C:\Users\user\AppData\Local\Programs\Microsoft VS Code\Code.exe" "c:\Users\user\AppData\Local\Programs\Microsoft VS Code\resources\app\extensions\json-language-features\server\dist\node\jsonServerMain" --node-ipc --clientProcessId=20928
    0	    12	 14868	     "C:\Users\user\AppData\Local\Programs\Microsoft VS Code\Code.exe" "c:\Users\user\AppData\Local\Programs\Microsoft VS Code\resources\app\extensions\markdown-language-features\dist\serverWorkerMain" --node-ipc --clientProcessId=20928
    0	     8	 23252	     c:\ProgramData\anaconda3\python.exe c:\Users\user\.vscode\extensions\ms-python.autopep8-2025.2.0\bundled\tool\lsp_server.py
    0	     1	 25000	       C:\WINDOWS\system32\conhost.exe 0x4
    0	     5	 24044	     c:\Users\user\anaconda3\python.exe -m ipykernel_launcher --f=c:\Users\user\AppData\Roaming\jupyter\runtime\kernel-v36e7885ae5dfac1bd7deed5e99d8a4514aea16c04.json
    0	     1	  9100	       C:\WINDOWS\system32\conhost.exe 0x4
    0	    10	 25580	     electron-nodejs (server.js )
    0	     6	 29252	     electron-nodejs (server.js )
    0	    92	 23120	   window
    0	   165	 25352	window [2] (ลอง.ipynb - Visual Studio Code)
    0	   135	 25804	window [1] (app.py - builder [Codespaces: cuddly waffle] - Visual Studio Code)
    0	     3	 30572	   crashpad-handler
Connection to 'codespaces+cuddly-waffle-x55q56r5j7493v6xv' could not be established
Workspace Info 

Connection to 'codespaces+cuddly-waffle-x55q56r5j7493v6xv' could not be established;
Extensions (33)
Extension Author (truncated) Version
vscode-django bat 1.15.0
docker doc 0.6.0
python-environment-manager don 1.2.7
python-extension-pack don 1.7.0
gitlens eam 17.1.0
vscode-html-css ecm 2.0.13
codespaces Git 1.17.3
copilot Git 1.322.0
copilot-chat Git 0.27.1
gc-excelviewer Gra 4.2.63
vsc-python-indent Kev 1.21.0
python-extension-pack Leo 3.0.0
vscode-docker ms- 1.29.6
vscode-edge-devtools ms- 2.1.8
autopep8 ms- 2025.2.0
debugpy ms- 2025.8.0
flake8 ms- 2025.2.0
python ms- 2025.6.1
vscode-pylance ms- 2025.5.1
datawrangler ms- 1.22.0
jupyter ms- 2025.4.1
jupyter-keymap ms- 1.1.2
jupyter-renderers ms- 1.1.0
vscode-jupyter-cell-tags ms- 0.1.9
vscode-jupyter-slideshow ms- 0.1.6
sqltools mtx 0.28.4
autodocstring njp 0.6.1
thai-lorem-ipsum Pha 0.0.3
json-server sar 0.0.4
fastkaggle sml 1.0.2
intellicode-api-usage-examples Vis 0.2.9
vscodeintellicode Vis 1.3.2
jinja who 0.0.8
A/B Experiments 
vsliv368cf:30146710
vspor879:30202332
vspor708:30202333
vspor363:30204092
vswsl492cf:30256860
vscod805:30301674
binariesv615:30325510
c4g48928:30535728
azure-dev_surveyone:30548225
a9j8j154:30646983
962ge761:30959799
h48ei257:31000450
pythontbext0:30879054
cppperfnew:31000557
dwnewjupytercf:31046870
pythonrstrctxt:31112756
nativeloc2:31192216
5fd0e150:31155592
dwcopilot:31170013
6074i472:31201624
dwoutputs:31242946
customenabled:31248079
hdaa2157:31222309
copilot_t_ci:31222730
e5gg6876:31282496
pythoneinst12:31285622
bgtreat:31268568
4gafe986:31271826
c7cif404:31309971
996jf627:31283433
pythonrdcb7:31303018
usemplatestapi:31297334
0aa6g176:31307128
7bj51361:31289155
747dc170:31275177
pylancecolor:31309108
aj953862:31281341
generatesymbolt:31295002
convertfstringf:31295003
gendocf:31295004
i845d553:31303030

chieffy99 avatar May 21 '25 09:05 chieffy99