Merge pull request #352 from DerwenAI/fuck_poetry

trying to migrate to poetry

Author: ceteri

.gitignore

@@ -6,6 +6,9 @@ docs/ex[0-9]*_files
 examples/foo.ttl
 examples/tmp.*
 kgl.tgz
+report-*
+*.zip
+.DS_Store
 dask-worker-space/
 .ipynb_checkpoints/
 kglab/.ipynb_checkpoints/
@@ -144,11 +147,3 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
-
-report-*
-
-# poetry lock file
-poetry.lock
-
-*.zip
-.DS_Store

README.md

@@ -6,89 +6,61 @@
 ![GitHub commit activity](https://img.shields.io/github/commit-activity/w/DerwenAI/kglab?style=plastic)
 [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
 [![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg)](https://github.com/PyCQA/bandit)
-![CI](https://github.com/DerwenAI/kglab/workflows/CI/badge.svg)
+[![Docker Pulls](https://img.shields.io/docker/pulls/derwenai/kglab.svg?maxAge=604800)](https://hub.docker.com/r/derwenai/kglab/)
 ![downloads](https://img.shields.io/pypi/dm/kglab)
-![sponsor](https://img.shields.io/github/sponsors/ceteri)
 
 
 Welcome to *Graph Data Science*:
 <https://derwen.ai/docs/kgl/>
 
 The **kglab** library provides a simple abstraction layer in Python 3.7+
 for building knowledge graphs, leveraging Pandas, NetworkX, RAPIDS, RDFLib,
-Morph-KGC, pythonPSL, and many more.
-
-> **SPECIAL REQUEST:**  
-> Which features would you like in an open source Python library for building knowledge graphs?  
-> Please add your suggestions through this survey:  
-> https://forms.gle/FMHgtmxHYWocprMn6  
-> This will help us prioritize the **kglab** roadmap.
-
-
-## Reviews
-
-[@kaaloo](https://github.com/kaaloo): 
-> "Feels like it's a Hugging Face for graphs! 🤯"
+Morph-KGC, and many more.
 
 
 ## Getting Started
 
 See the ["Getting Started"](https://derwen.ai/docs/kgl/start/)
 section of the online documentation.
 
+## Useing kglab as a package for your project
 
-### Using `kglab` as a library for your Python project
-
-We recommend installing from [PyPi](https://pypi.python.org/pypi/kglab) or [conda](https://anaconda.org/anaconda/conda):
-
-#### `pip`
+### We recommend installing from [PyPi](https://pypi.python.org/pypi/kglab):
 
+#### pip
 ```bash
 python3 -m pip install kglab
 ```
 
-#### `pipenv`
-
+#### poetry
 ```bash
-pipenv install kglab
+poetry add kglab
 ```
 
-#### `conda`
+#### conda
 ```bash
 conda env create -n kglab
 conda activate kglab
 pip install kglab
 ```
 
 ### Or, install from source:
-
 If you work directly from this Git repo, be sure to install the 
 dependencies:
 
 #### pip
-
 ```bash
 python3 -m pip install -U pip wheel
 python3 -m pip install -r requirements.txt
 ```
 
-#### pipenv
-
-```bash
-pipenv install --dev
-```
-
-Alternatively, to install dependencies using `conda`:
-
+#### conda
 ```bash
 conda env create -f environment.yml --force
 conda activate kglab
 ```
 
-### Sample Code
-
 Then to run some simple uses of this library:
-
 ```python
 import kglab
 
@@ -133,14 +105,12 @@ Also, container images for each release are available on DockerHub:
 <https://hub.docker.com/repository/docker/derwenai/kglab>
 
 To build a container image and run it for the tutorials:
-
 ```bash
 docker build --pull --rm -f "docker/Dockerfile" -t kglab:latest .
 docker run -p 8888:8888 -it kglab
 ```
 
 To build and run a container image for testing:
-
 ```bash
 docker build --pull --rm -f "docker/testsuite.Dockerfile" -t kglabtest:latest .
 docker run --rm -it kglabtest
@@ -199,7 +169,7 @@ Source code for **kglab** plus its logo, documentation, and examples
 have an [MIT license](https://spdx.org/licenses/MIT.html) which is
 succinct and simplifies use in commercial applications.
 
-All materials herein are Copyright &copy; 2020-2023 Derwen, Inc.
+All materials herein are Copyright &copy; 2020-2022 Derwen, Inc.
 </details>
 
 
@@ -241,15 +211,14 @@ and to our contributors:
 [@tomaarsen](https://github.com/tomaarsen),
 [@Mec-iS](https://github.com/Mec-iS),
 [@jake-aft](https://github.com/jake-aft),
+[@cutterkom](https://github.com/cutterkom),
+[@RishiKumarRay](https://github.com/RishiKumarRay),
 [@Tpt](https://github.com/Tpt),
 [@ArenasGuerreroJulian](https://github.com/ArenasGuerreroJulian),
 [@fils](https://github.com/fils),
-[@cutterkom](https://github.com/cutterkom),
-[@RishiKumarRay](https://github.com/RishiKumarRay),
 [@gauravjaglan](https://github.com/gauravjaglan),
 [@pebbie](https://github.com/pebbie),
 [@CatChenal](https://github.com/CatChenal),
-[@jorisSchaller](https://github.com/jorisSchaller),
 [@dmoore247](https://github.com/dmoore247),
 plus general support from [Derwen, Inc.](https://derwen.ai/);
 the [Knowledge Graph Conference](https://www.knowledgegraph.tech/)