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-0.1.16.tar.gz
(625.5 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-0.1.16-py3-none-any.whl
(848.3 kB
view details)
File details
Details for the file escobar-0.1.16.tar.gz.
File metadata
- Download URL: escobar-0.1.16.tar.gz
- Upload date:
- Size: 625.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
82d18dfe483e7459f7f87296cbde9453580e47f0d561452cc97343f930de78ea
|
|
| MD5 |
f96208684c18885f32ece09e3581db4f
|
|
| BLAKE2b-256 |
3196d08225cb2985c1ee603f31036e5353e1a87de43794c7b7a4b61561ed19d0
|
File details
Details for the file escobar-0.1.16-py3-none-any.whl.
File metadata
- Download URL: escobar-0.1.16-py3-none-any.whl
- Upload date:
- Size: 848.3 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 |
6f95b871a8628665beed88b668f67d03636c0823a9c4e7f57998c534ed732c79
|
|
| MD5 |
da850ff285b2ad7bbd75018e839f74e6
|
|
| BLAKE2b-256 |
3b9ad7859781f8455f8bd21e75f8e1255a56d329e42c1e1ff334b0e2068d6a90
|