AI CHAT EXTENSION
Project description
Escobar
Debugging in VSCode
-
Running debug build npm run build && python3 -m jupyter labextension develop . --overwrite --build=True
-
Start the watch tasks first:
- Press
Ctrl+Shift+P(orCmd+Shift+Pon macOS) - Type "Run Task"
- Select "Start Development Environment"
This task runs both:
- "npm: watch" - Watches and recompiles TypeScript files
- "jupyter: lab watch" - Watches and rebuilds the extension
- Press
-
Once the watch tasks are running, start the debug processes:
- Use the "Debug JupyterLab (Python)" configuration to debug the backend
- Use the "Debug JupyterLab Extension" configuration to debug the frontend
TypeScript notes
- The watch tasks will automatically recompile the TypeScript and rebuild the extension
- You may need to refresh the JupyterLab page to see the changes
- For some changes, you might need to restart the debug sessions
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
escobar-0.1.14.tar.gz
(625.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
escobar-0.1.14-py3-none-any.whl
(848.0 kB
view details)
File details
Details for the file escobar-0.1.14.tar.gz.
File metadata
- Download URL: escobar-0.1.14.tar.gz
- Upload date:
- Size: 625.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0f190b77efb463245666eea98d7f85305cd32ac79d3798a177a0eba61582dcbd
|
|
| MD5 |
a66a1eabfae6a969aa53d7241c5d8736
|
|
| BLAKE2b-256 |
62035b494cf74a039188b4ca232a8527a153232dae3afbb8c63ac03556c33056
|
File details
Details for the file escobar-0.1.14-py3-none-any.whl.
File metadata
- Download URL: escobar-0.1.14-py3-none-any.whl
- Upload date:
- Size: 848.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9ed74fc5a431718772315010ff4f6763ee969eb76e771ea15894f452017768c
|
|
| MD5 |
041fa58ebbc544734295ff77022ea42e
|
|
| BLAKE2b-256 |
54bcda131a6c4b268553397769f7659045a6757e40004e7fad21e054810ca745
|