ci: add auto comment github action

.github/workflows/auto-comment.yml

@@ -0,0 +1,28 @@
+name: AutoComment
+on: [issues, pull_request]
+jobs:
+  run:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: wow-actions/auto-comment@v1
+        with:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          issuesOpened: |
+            👋 @{{ author }}
+            Thank you for raising an issue. We will will investigate into the matter and get back to you as soon as possible.
+            Please make sure you have given us as much context as possible.
+          pullRequestOpened: |
+            ⚠️ ⚠️ ⚠️
+
+            👋 @{{ author }}
+            Please remember that we use [**fast-forward merge**](https://git-scm.com/docs/git-merge#Documentation/git-merge.txt---ff-only) instead of using the usual *Create a merge commit*, *squash and merge* or *rebase and merge* for merging `develop` into `main` or vice versa.
+            You can execute it by creating a new comment in this PR with the following content:
+            ```
+            fast-forward
+            ```
+            ***With an additional slash (`/`) before the command.***
+            **Please create this comment only after all tests have been completed positively!**
+
+            For merging your feature branch to `develop` please use [*squash and merge*](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/incorporating-changes-from-a-pull-request/about-pull-request-merges#squash-and-merge-your-commits).
+
+            Thanks! 🙏

.pre-commit-config.yaml

@@ -1,6 +1,9 @@
 default_language_version:
   python: python3.10
 
+ci:
+  skip: [poetry-lock, poetry-export]
+
 repos:
   - repo: https://github.com/compilerla/conventional-pre-commit
     rev: v2.1.1

docs/README.md

@@ -4,6 +4,7 @@
 ***A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering steps*** 🛠
 
 [![testing](https://github.com/chrislemke/sk-transformers/actions/workflows/testing.yml/badge.svg?branch=main)](https://github.com/chrislemke/sk-transformers/actions/workflows/testing.yml)
+[![Codacy Badge](https://app.codacy.com/project/badge/Grade/44093b8f6b28454fb8e0336ccb83cdc5)](https://www.codacy.com/gh/chrislemke/sk-transformers/dashboard?utm_source=github.com&utm_medium=referral&utm_content=chrislemke/sk-transformers&utm_campaign=Badge_Grade)
 [![codecov](https://codecov.io/github/chrislemke/sk-transformers/branch/main/graph/badge.svg?token=LJLXQXX6M8)](https://codecov.io/github/chrislemke/sk-transformers)
 [![deploy package](https://github.com/chrislemke/sk-transformers/actions/workflows/deploy-package.yml/badge.svg)](https://github.com/chrislemke/sk-transformers/actions/workflows/deploy-package.yml)
 [![pypi](https://img.shields.io/pypi/v/sk-transformers)](https://pypi.org/project/sk-transformers/)

src/sk_transformers/utils.py

@@ -33,7 +33,6 @@ def check_ready_to_transform(
         ValueError: If the input `X` does not contain the feature.
         ValueError: if the input `X` does not contain all features.
 
-
     Returns:
         pandas.DataFrame: A checked copy of original dataframe.
     """