Test files and initial data gathering completed

tests/test_bars.py

@@ -0,0 +1,70 @@
+import shutil
+from pathlib import Path
+
+import pytest
+
+import analyze
+
+ALL_IMAGES = (
+    sorted(Path("tests/images/harvesting").glob("*.png"))
+    + sorted(Path("tests/images/not_harvesting").glob("*.png"))
+)
+
+assert len(ALL_IMAGES) > 0, "no images found under tests/images"
+
+# Inventory capacity was observed to change as the player collects items.
+# Frames not listed here are expected to read 106.
+INVENTORY_EXPECTED = {
+    "frame_00000.png": 110,
+    "frame_00001.png": 110,
+    "frame_00002.png": 108,
+    "frame_00003.png": 108,
+}
+
+OCR_AVAILABLE = analyze.pytesseract is not None and shutil.which("tesseract") is not None
+
+pytestmark = pytest.mark.skipif(
+    not OCR_AVAILABLE,
+    reason="pytesseract or tesseract-ocr not installed",
+)
+
+
+@pytest.fixture(scope="session")
+def bar_values():
+    values = {}
+    for path in ALL_IMAGES:
+        image = analyze.load_image(path)
+        assert image is not None, f"cannot load {path}"
+        values[path.name] = analyze.read_bar_values(image)
+    return values
+
+
+def test_mana_is_32(bar_values):
+    for name, values in bar_values.items():
+        assert values["mana"] == 32, name
+
+
+def test_food_is_39(bar_values):
+    for name, values in bar_values.items():
+        assert values["food"] == 39, name
+
+
+def test_health_is_40(bar_values):
+    for name, values in bar_values.items():
+        assert values["health"] == 40, name
+
+
+def test_action_points_are_140(bar_values):
+    for name, values in bar_values.items():
+        assert values["action_points"] == 140, name
+
+
+def test_inventory_matches_expected(bar_values):
+    for name, values in bar_values.items():
+        expected = INVENTORY_EXPECTED.get(name, 106)
+        assert values["inventory"] == expected, name
+
+
+def test_every_bar_has_a_value(bar_values):
+    for name, values in bar_values.items():
+        assert all(v is not None for v in values.values()), name

tests/test_corrupt.py

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+from pathlib import Path
+
+import analyze
+
+CORRUPT = sorted(Path("tests/images/corrupt").glob("*.png"))
+
+
+def test_corrupt_images_are_skipped_gracefully():
+    for path in CORRUPT:
+        assert analyze.load_image(path) is None, path

tests/test_harvesting.py

@@ -0,0 +1,23 @@
+from pathlib import Path
+
+import analyze
+
+HARVESTING = sorted(Path("tests/images/harvesting").glob("*.png"))
+NOT_HARVESTING = sorted(Path("tests/images/not_harvesting").glob("*.png"))
+
+assert len(HARVESTING) > 0, "no images found in tests/images/harvesting"
+assert len(NOT_HARVESTING) > 0, "no images found in tests/images/not_harvesting"
+
+
+def test_harvesting_frames_report_harvesting():
+    for path in HARVESTING:
+        image = analyze.load_image(path)
+        assert image is not None, f"cannot load {path}"
+        assert analyze.is_harvesting(image)["is_harvesting"] is True, path
+
+
+def test_not_harvesting_frames_report_not_harvesting():
+    for path in NOT_HARVESTING:
+        image = analyze.load_image(path)
+        assert image is not None, f"cannot load {path}"
+        assert analyze.is_harvesting(image)["is_harvesting"] is False, path