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data-quality

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Aylr
Aylr commented Dec 28, 2020

Describe the bug
data docs columns shrink to 1 character width with long query

To Reproduce
Steps to reproduce the behavior:

  1. make a batch from a long query string
  2. run validation
  3. render result to data docs
  4. See screenshot
    <img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4
enhancement help wanted good first issue core-team
jwmueller
jwmueller commented May 6, 2022

Currently the X argument of CleanLearning.fit() does not seem to support non-array data.
Perhaps this is due to the sklearn function check_X_y() called inside CleanLearning, which we could replace.
Or perhaps it's due to how the cross-validation is currently being implemented.

However these are both easy to improve to rid the restriction that only array data are supported.
Seems e

enhancement good first issue urgent
tpvasconcelos
tpvasconcelos commented May 15, 2022

Is your feature request related to a problem? Please describe.
The Pydantic errors can be very annoying to debug when the error messages are not explicit or (as often seen) completely missing. I provide two specific examples bellow but many more can be found throughout the codebase.

Describe the solution you'd like
Always include explicit error messages to all Pydating validation chec

xiaoyongzhu
xiaoyongzhu commented May 13, 2022

Currently the registry tags are a dictionary format like this:

{"description":"this is a test feature"}

but user could easily do something else like

{"description", "this is a test feature"}

and the object will not be serialized as it's not a valid python dict. We should add a type check for that to avoid those kind of errors.

good first issue help wanted
tozka
tozka commented Apr 11, 2022

What is the feature request? What problem does it solve?

As employees leave the organization/company or users change mails , eventually the notification list configured for the job would start containing a lot of invalid mails. This causes issues with SMTP relay (e.g postfix) which could be buffering all invalid requests until the queu is full, which cause all mails coming for all jobs to b

enhancement good first issue
NBi

NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Access. The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# or Java code to specify your tests! Either, you don't need Visual Studio or Eclipse to compile your test suite. Just create an Xml file and let the framework interpret it and play your tests. The framework is designed as an add-on of NUnit but with the possibility to port it easily to other testing frameworks.

  • Updated Jan 23, 2022
  • C#

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