Weiyuan Wu

Go to the `improve-ci` branch and run `just test`. Some tests from clean_ip are failing

Connector: Generator with UI

2

## Summary With the generator being merged, we can now start implementing a GUI. ## UI-level Explanation Actions - [x] Change the current ipywidget based generator GUI to support new...

**Is your feature request related to a problem? Please describe.** We observe that downloading data from databases into pandas dataframe currently has low performance. **Describe the solution you'd like** Connector...

## Summary Currently connector downloads configs from github using raw.githubusercontent.com, however, that one has a 5 mins content cache. This means if we just pushed something to github, connector will...

Feature Proposal: reduce dependencies

7

## Summary Reduce unnecessary dependencies for the whole package. ## Design-level Explanation Actions NA ## Design-level Explanation NA ## Implementation-level Explanation * Removing `Pillow` Pillow is used only to load...

DataConnector should throw correct error if universal parameters are used but not defined

2

**Describe the bug** Currently, when there are no definitions for the universal parameters but is used in the `query`, it throws an assertion error instead of something more informative. **To...

Exponential backoff for 429 Error

1

**Is your feature request related to a problem? Please describe.** The connector should detect the HTTP code for the response. In the case of 429 too many requests error, it...

Connector Config CI workflow

6

Currently, Connector Configs are put in a Github repo. This means every time a user instantiates a connector, a request will be issued to Github to check if there's an...

Create report does not handle a pure nan dataframe

1

**Describe the bug** ```python create_report(pd.DataFrame([[np.nan], [np.nan]], columns=["a"])) ``` Throws error. ``` --------------------------------------------------------------------------- ValueError Traceback (most recent call last) in ----> 1 create_report(pd.DataFrame([[np.nan], [np.nan]], columns=["a"])) ~/projects/dataprep/dataprep/eda/create_report/__init__.py in create_report(df, title, mode, progress)...

- [ ] Collect different rate limit header cases. - [ ] Change the schema.json to support the rate limit configuration. - [ ] Issue requests with rate limit considered.