Add automation scripts tests

Gemfile.lock

@@ -279,6 +279,7 @@ GEM
 PLATFORMS
   arm64-darwin-21
   arm64-darwin-23
+  arm64-darwin-24
   x64-mingw-ucrt
   x86_64-darwin-21
   x86_64-darwin-22

tools/tests/automation_prepare_adhoc_availability_test.py

@@ -0,0 +1,254 @@
+import tempfile
+import os
+import sys
+import pytest
+import pandas as pd
+from ruamel.yaml import YAML
+from automation_prepare_adhoc_availability import (
+    get_available_mentor_sort,
+    get_unavailable_mentor_sort,
+    get_availability_update_dict,
+    update_mentor_availability,
+    MONTHS_MAP,
+    TYPE_LONG_TERM,
+    TYPE_AD_HOC,
+    TYPE_BOTH
+)
+
+yaml = YAML()
+
+
+class TestGetAvailableMentorSort:
+    def test_new_mentor_with_full_availability_returns_500(self):
+        mentor = {'name': 'Test Mentor', 'hours': 2}
+        current_availability = [4, 5, 6]
+
+        result = get_available_mentor_sort(mentor, current_availability)
+
+        assert result == 500
+
+    def test_mentor_with_more_than_3_hours_returns_500(self):
+        mentor = {'name': 'Test Mentor', 'hours': 4}
+        current_availability = [4]
+
+        result = get_available_mentor_sort(mentor, current_availability)
+
+        assert result == 500
+
+    def test_mentor_with_3_or_less_hours_returns_200(self):
+        mentor = {'name': 'Test Mentor', 'hours': 3}
+        current_availability = [4]
+
+        result = get_available_mentor_sort(mentor, current_availability)
+
+        assert result == 200
+
+    def test_mentor_with_1_hour_returns_200(self):
+        mentor = {'name': 'Test Mentor', 'hours': 1}
+        current_availability = [4]
+
+        result = get_available_mentor_sort(mentor, current_availability)
+
+        assert result == 200
+
+
+class TestGetUnavailableMentorSort:
+    def test_disabled_mentor_returns_1(self):
+        mentor = {'name': 'Test Mentor', 'disabled': True, 'type': TYPE_BOTH}
+
+        result = get_unavailable_mentor_sort(mentor)
+
+        assert result == 1
+
+    def test_long_term_mentor_returns_10(self):
+        mentor = {'name': 'Test Mentor', 'disabled': False, 'type': TYPE_LONG_TERM}
+
+        result = get_unavailable_mentor_sort(mentor)
+
+        assert result == 10
+
+    def test_ad_hoc_mentor_returns_100(self):
+        mentor = {'name': 'Test Mentor', 'disabled': False, 'type': TYPE_AD_HOC}
+
+        result = get_unavailable_mentor_sort(mentor)
+
+        assert result == 100
+
+    def test_both_type_mentor_returns_100(self):
+        mentor = {'name': 'Test Mentor', 'disabled': False, 'type': TYPE_BOTH}
+
+        result = get_unavailable_mentor_sort(mentor)
+
+        assert result == 100
+
+
+class TestGetAvailabilityUpdateDict:
+    def test_returns_dict_with_mentor_hours(self):
+        data = {
+            'Mentor Name': ['Alice Smith', 'Bob Jones'],
+            'Availability (Hours)': [5, 3]
+        }
+        df = pd.DataFrame(data)
+
+        result = get_availability_update_dict(df)
+
+        assert result['Alice Smith'] == 5
+        assert result['Bob Jones'] == 3
+
+    def test_empty_hours_returns_none(self):
+        data = {
+            'Mentor Name': ['Alice Smith'],
+            'Availability (Hours)': ['']
+        }
+        df = pd.DataFrame(data)
+
+        result = get_availability_update_dict(df)
+
+        assert result['Alice Smith'] is None
+
+    def test_nan_hours_returns_none(self):
+        data = {
+            'Mentor Name': ['Alice Smith'],
+            'Availability (Hours)': [pd.NA]
+        }
+        df = pd.DataFrame(data)
+
+        result = get_availability_update_dict(df)
+
+        assert result['Alice Smith'] is None
+
+    def test_strips_whitespace_from_names(self):
+        data = {
+            'Mentor Name': ['  Alice Smith  '],
+            'Availability (Hours)': [4]
+        }
+        df = pd.DataFrame(data)
+
+        result = get_availability_update_dict(df)
+
+        assert 'Alice Smith' in result
+
+
+class TestUpdateMentorAvailability:
+    def test_updates_mentor_availability_from_xlsx(self, monkeypatch):
+
+        with tempfile.NamedTemporaryFile(suffix='.xlsx', delete=False) as xlsx_file:
+            xlsx_path = xlsx_file.name
+
+        with tempfile.NamedTemporaryFile(suffix='.yml', mode='w', delete=False) as yml_file:
+            yml_path = yml_file.name
+
+        try:
+            df = pd.DataFrame({
+                'Mentor Name': ['Alice Smith'],
+                'Availability (Hours)': [5]
+            })
+            df.to_excel(xlsx_path, index=False)
+
+            mentors = [
+                {
+                    'name': 'Alice Smith',
+                    'hours': 2,
+                    'availability': [4, 5],
+                    'sort': 200,
+                    'type': TYPE_AD_HOC,
+                    'disabled': False
+                },
+                {
+                    'name': 'Bob Jones',
+                    'hours': 3,
+                    'availability': [4],
+                    'sort': 100,
+                    'type': TYPE_LONG_TERM,
+                    'disabled': False
+                }
+            ]
+
+            with open(yml_path, 'w') as f:
+                yaml.dump(mentors, f)
+
+            update_mentor_availability(4, xlsx_path, yml_path)
+
+            with open(yml_path, 'r') as f:
+                result = yaml.load(f)
+
+            alice = next(m for m in result if m['name'] == 'Alice Smith')
+            assert alice['hours'] == 5
+            assert alice['availability'] == [4]
+            assert alice['sort'] == 500 
+
+            bob = next(m for m in result if m['name'] == 'Bob Jones')
+            assert bob['availability'] == []
+            assert bob['sort'] == 10 
+
+        finally:
+            os.remove(xlsx_path)
+            os.remove(yml_path)
+
+    def test_mentor_not_in_xlsx_becomes_unavailable(self, monkeypatch):
+        with tempfile.NamedTemporaryFile(suffix='.xlsx', delete=False) as xlsx_file:
+            xlsx_path = xlsx_file.name
+
+        with tempfile.NamedTemporaryFile(suffix='.yml', mode='w', delete=False) as yml_file:
+            yml_path = yml_file.name
+
+        try:
+            df = pd.DataFrame({
+                'Mentor Name': ['Alice Smith'],
+                'Availability (Hours)': [5]
+            })
+            df.to_excel(xlsx_path, index=False)
+
+            mentors = [
+                {'name': 'Alice Smith', 'hours': 2, 'availability': [4], 'sort': 200, 'type': TYPE_AD_HOC, 'disabled': False},
+                {'name': 'Bob Jones', 'hours': 3, 'availability': [4], 'sort': 200, 'type': TYPE_BOTH, 'disabled': False}
+            ]
+
+            with open(yml_path, 'w') as f:
+                yaml.dump(mentors, f)
+
+            update_mentor_availability(4, xlsx_path, yml_path)
+
+            with open(yml_path, 'r') as f:
+                result = yaml.load(f)
+
+            bob = next(m for m in result if m['name'] == 'Bob Jones')
+            assert bob['availability'] == []
+            assert bob['sort'] == 100
+
+        finally:
+            os.remove(xlsx_path)
+            os.remove(yml_path)
+
+    def test_keeps_existing_hours_when_xlsx_hours_empty(self):
+        with tempfile.NamedTemporaryFile(suffix='.xlsx', delete=False) as xlsx_file:
+            xlsx_path = xlsx_file.name
+
+        with tempfile.NamedTemporaryFile(suffix='.yml', mode='w', delete=False) as yml_file:
+            yml_path = yml_file.name
+
+        try:
+            df = pd.DataFrame({
+                'Mentor Name': ['Alice Smith'],
+                'Availability (Hours)': ['']
+            })
+            df.to_excel(xlsx_path, index=False)
+
+            mentors = [
+                {'name': 'Alice Smith', 'hours': 3, 'availability': [4], 'sort': 200, 'type': TYPE_AD_HOC, 'disabled': False}
+            ]
+
+            with open(yml_path, 'w') as f:
+                yaml.dump(mentors, f)
+
+            update_mentor_availability(4, xlsx_path, yml_path)
+
+            with open(yml_path, 'r') as f:
+                result = yaml.load(f)
+
+            alice = result[0]
+            assert alice['hours'] == 3 
+
+        finally:
+            os.remove(xlsx_path)
+            os.remove(yml_path)

tools/tests/download_image_test.py

@@ -0,0 +1,93 @@
+import os
+import sys
+import io
+import tempfile
+import pytest
+import builtins
+import requests
+from unittest import mock
+
+import download_image
+
+
+class TestDownloadImage:
+    def test_successful_download_creates_file(self, tmp_path, monkeypatch):
+        monkeypatch.setattr(download_image, "IMAGE_FILE_PATH", str(tmp_path))
+
+        mock_response = mock.Mock()
+        mock_response.status_code = 200
+        mock_response.content = b"fake image data"
+        mock_response.raise_for_status = mock.Mock()
+        monkeypatch.setattr(requests, "get", mock.Mock(return_value=mock_response))
+
+        url = "https://example.com/test.jpeg"
+        mentor_name = "Alice Smith"
+        image_path = download_image.download_image(url, mentor_name)
+
+        assert image_path.endswith("alice_smith.jpeg")
+        assert os.path.exists(image_path)
+        with open(image_path, "rb") as f:
+            assert f.read() == b"fake image data"
+
+    def test_download_failure_returns_none(self, tmp_path, monkeypatch):
+        monkeypatch.setattr(download_image, "IMAGE_FILE_PATH", str(tmp_path))
+
+        monkeypatch.setattr(requests, "get", mock.Mock(side_effect=requests.exceptions.RequestException("network error")))
+
+        result = download_image.download_image("https://badurl.com/image.jpeg", "Bob")
+        assert result is None
+
+    def test_directory_created_if_not_exists(self, tmp_path, monkeypatch):
+        image_dir = tmp_path / "new_images"
+        monkeypatch.setattr(download_image, "IMAGE_FILE_PATH", str(image_dir))
+
+        mock_response = mock.Mock()
+        mock_response.status_code = 200
+        mock_response.content = b"123"
+        mock_response.raise_for_status = mock.Mock()
+        monkeypatch.setattr(requests, "get", mock.Mock(return_value=mock_response))
+
+        result = download_image.download_image("https://example.com/img.jpg", "John Doe")
+        assert os.path.exists(image_dir)
+        assert result.endswith("john_doe.jpeg")
+
+    def test_filename_sanitization(self, tmp_path, monkeypatch):
+        monkeypatch.setattr(download_image, "IMAGE_FILE_PATH", str(tmp_path))
+
+        mock_response = mock.Mock()
+        mock_response.content = b"data"
+        mock_response.raise_for_status = mock.Mock()
+        monkeypatch.setattr(requests, "get", mock.Mock(return_value=mock_response))
+
+        result = download_image.download_image("https://example.com/img.jpg", "Alice Smith-Jones")
+        assert "alice_smith-jones.jpeg" in result
+
+
+class TestRunAutomation:
+    def test_run_automation_success(self, tmp_path, monkeypatch, capsys):
+        monkeypatch.setattr(sys, "argv", ["download_image.py", "https://example.com/test.jpg", "Charlie"])
+
+        fake_path = str(tmp_path / "charlie.jpeg")
+        monkeypatch.setattr(download_image, "download_image", mock.Mock(return_value=fake_path))
+
+        download_image.run_automation()
+
+        captured = capsys.readouterr()
+        assert "Image saved to" in captured.out
+        download_image.download_image.assert_called_once()
+
+    def test_run_automation_failure(self, monkeypatch, capsys):
+        monkeypatch.setattr(sys, "argv", ["download_image.py", "https://example.com/fail.jpg", "David"])
+        monkeypatch.setattr(download_image, "download_image", mock.Mock(return_value=None))
+
+        download_image.run_automation()
+        captured = capsys.readouterr()
+        assert "Failed to download the image." in captured.out
+
+    def test_run_automation_no_args(self, monkeypatch, caplog):
+        monkeypatch.setattr(sys, "argv", ["download_image.py"])
+        caplog.set_level("INFO")
+
+        download_image.run_automation()
+
+        assert "Add parameters for download" in caplog.text