Jupyter notebook / last polish

[apichery]

No description provided.

[sourcery-ai]

Sourcery Code Quality Report

❌  Merging this PR will decrease code quality in the affected files by 0.04%.

Quality metrics	Before	After	Change
Complexity	2.45 ⭐	2.45 ⭐	0.00
Method Length	31.93 ⭐	32.03 ⭐	0.10 👎
Working memory	8.52 🙂	8.54 🙂	0.02 👎
Quality	79.49% ⭐	79.45% ⭐	-0.04% 👎

Other metrics	Before	After	Change
Lines	1425	1425	0

Changed files	Quality Before	Quality After	Quality Change
dataikuapi/dss/project.py	79.49% ⭐	79.45% ⭐	-0.04% 👎

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
dataikuapi/dss/project.py	DSSProject.new_recipe	17 🙂	180 😞	28 ⛔	29.17% 😞	Try splitting into smaller methods. Extract out complex expressions
dataikuapi/dss/project.py	DSSProject.duplicate	2 ⭐	73 🙂	18 ⛔	60.05% 🙂	Extract out complex expressions
dataikuapi/dss/project.py	DSSProject.create_prediction_ml_task	2 ⭐	75 🙂	14 😞	63.99% 🙂	Extract out complex expressions
dataikuapi/dss/project.py	DSSProject.list_jupyter_notebooks	5 ⭐	69 🙂	12 😞	64.92% 🙂	Extract out complex expressions
dataikuapi/dss/project.py	DSSProject.list_datasets	5 ⭐	63 🙂	12 😞	65.84% 🙂	Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

• ⭐ excellent
• 🙂 good
• 😞 poor
• ⛔ very poor

The 👍 and 👎 indicate whether the quality has improved or gotten worse with this pull request.

---

Please see our documentation here for details on how these metrics are calculated.

We are actively working on this report - lots more documentation and extra metrics to come!

Let us know what you think of it by mentioning @sourcery-ai in a comment.

[pbailly]

LGTM

[Tianni-dku]

@apichery Hi the return explanation here If "as_type" is "names" is wrong, maybe you forgot to change it. I guess you can just say:
If "as_type" is "listitems", then each one as a dict.