Transition to pyproject.toml

.github/workflows/test.yml

@@ -24,7 +24,6 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        pip install -r requirements.txt
     - name: Install the package
       run: pip install -e .
     - name: Test with unittest

pyproject.toml

@@ -0,0 +1,28 @@
+[project]
+name='sortgs'
+version='1.0.3'
+authors=[{name='Fernando Marcos Wittmann'}]
+description='A Python tool to rank Google Scholar publications by citations.'
+readme = 'README.md'
+urls={github='https://github.com/WittmannF/sort-google-scholar'}
+dependencies=[
+    'beautifulsoup4',
+    'matplotlib',
+    'pandas',
+    'requests',
+    'selenium',
+]
+scripts = {sortgs='sortgs:main'}
+classifiers=[
+    'Programming Language :: Python :: 3',
+    'License :: OSI Approved :: MIT License',
+    'Operating System :: OS Independent',
+]
+requires-python='>=3.8'
+
+[build-system]
+requires = ['setuptools']
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools.packages.find]
+where =["src"]

src/sortgs/__init__.py

@@ -0,0 +1 @@
+from sortgs.sortgs import main

test/test_sortgs.py

@@ -1,20 +1,18 @@
-import unittest
-from unittest.mock import patch
-import sortgs
 import os
+import unittest
 import pandas as pd
 
 class TestSortGS(unittest.TestCase):
     @classmethod
     def setUpClass(self):
         '''run once before all tests'''
-        os.system("python sortgs.py --debug --kw 'machine learning' --nresults 10 --endyear 2022")
+        os.system("sortgs --debug --kw 'machine learning' --nresults 10 --endyear 2022")
         self.df_top_10=pd.read_csv('machine_learning.csv')
 
-        os.system("python sortgs.py --debug --kw 'machine learning' --nresults 20 --endyear 2022")
+        os.system("sortgs --debug --kw 'machine learning' --nresults 20 --endyear 2022")
         self.df_top_20=pd.read_csv('machine_learning.csv')
 
-        os.system("python sortgs.py --debug --kw 'machine learning' --nresults 20 --endyear 2022 --sortby 'cit/year'")
+        os.system("sortgs --debug --kw 'machine learning' --nresults 20 --endyear 2022 --sortby 'cit/year'")
         self.df_top_sorted_cit_per_year=pd.read_csv('machine_learning.csv')
 
         # Repeat the above, but testing the cli command
@@ -55,7 +53,7 @@ def test_cit_per_year_sorted(self):
                                         [2896, 782, 571, 352, 302]])
 
     def test_csv_exists(self):
-        os.system("python sortgs.py --debug --kw 'machine learning' --nresults 10")
+        os.system("sortgs --debug --kw 'machine learning' --nresults 10")
         self.assertTrue(os.path.exists('machine_learning.csv'))
 
     def test_cli_get_10_results(self):
@@ -88,4 +86,4 @@ def test_cli_cit_per_year_sorted(self):
 
 
 if __name__=='__main__':
-    unittest.main()
+    unittest.main()