Add more optimization tests (#171)

* Integrated single_test_optimization into pytest to run a basic optimization test with tolerance set to 1e-6, ensuring quick detection of deviations.
* Added a long-run test (400 generations, like single_test_optimization), which can be triggered using --full-run in pytest.
* Mocked PDF creation in optimization tests and added a new PDF generation test with image comparison validation.

Note: Current tolerance is set to 1e-6; feedback on whether this tolerance is tight enough is welcome.

---------

Co-authored-by: Normann <github@koldrack.com>
Co-authored-by: Michael Osthege <michael.osthege@outlook.com>

tests/test_visualize.py

@@ -0,0 +1,30 @@
+import json
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+from matplotlib.testing.compare import compare_images
+
+from akkudoktoreos.visualize import visualisiere_ergebnisse
+
+DIR_TESTDATA = Path(__file__).parent / "testdata"
+DIR_IMAGEDATA = DIR_TESTDATA / "images"
+
+
+@pytest.mark.parametrize(
+    "fn_in, fn_out, fn_out_base",
+    [("visualize_input_1.json", "visualize_output_1.pdf", "visualize_base_output_1.pdf")],
+)
+@patch("akkudoktoreos.visualize.output_dir", DIR_IMAGEDATA)
+def test_visualisiere_ergebnisse(fn_in, fn_out, fn_out_base):
+    with open(DIR_TESTDATA / fn_in, "r") as f:
+        input_data = json.load(f)
+    visualisiere_ergebnisse(**input_data)
+    assert (
+        compare_images(
+            str(DIR_IMAGEDATA / fn_out),
+            str(DIR_IMAGEDATA / fn_out_base),
+            0,
+        )
+        is None
+    )