fix(recipes): detect duplicates for remote imports using modelVersionId and Civitai URL, #750

- Use modelVersionId as fallback for all loras in fingerprint calculation (not just deleted)
- Add URL-based duplicate detection using source_path field
- Combine both fingerprint and URL-based duplicate detection in API response
- Fix _download_remote_media return type and unbound variable issue

tests/utils/test_fingerprint_fallback.py

@@ -0,0 +1,100 @@
+"""Test for modelVersionId fallback in fingerprint calculation."""
+import pytest
+from py.utils.utils import calculate_recipe_fingerprint
+
+
+def test_calculate_fingerprint_with_model_version_id_fallback():
+    """Test that fingerprint uses modelVersionId when hash is empty, even when not deleted."""
+    loras = [
+        {
+            "hash": "",
+            "strength": 1.0,
+            "modelVersionId": 2639467,
+            "isDeleted": False,
+            "exclude": False
+        }
+    ]
+    fingerprint = calculate_recipe_fingerprint(loras)
+    assert fingerprint == "2639467:1.0"
+
+
+def test_calculate_fingerprint_with_multiple_model_version_ids():
+    """Test fingerprint with multiple loras using modelVersionId fallback."""
+    loras = [
+        {
+            "hash": "",
+            "strength": 1.0,
+            "modelVersionId": 2639467,
+            "isDeleted": False,
+            "exclude": False
+        },
+        {
+            "hash": "",
+            "strength": 0.8,
+            "modelVersionId": 1234567,
+            "isDeleted": False,
+            "exclude": False
+        }
+    ]
+    fingerprint = calculate_recipe_fingerprint(loras)
+    assert fingerprint == "1234567:0.8|2639467:1.0"
+
+
+def test_calculate_fingerprint_with_deleted_lora():
+    """Test that deleted loras with modelVersionId are still included."""
+    loras = [
+        {
+            "hash": "",
+            "strength": 1.0,
+            "modelVersionId": 2639467,
+            "isDeleted": True,
+            "exclude": False
+        }
+    ]
+    fingerprint = calculate_recipe_fingerprint(loras)
+    assert fingerprint == "2639467:1.0"
+
+
+def test_calculate_fingerprint_with_excluded_lora():
+    """Test that excluded loras are skipped even with modelVersionId."""
+    loras = [
+        {
+            "hash": "",
+            "strength": 1.0,
+            "modelVersionId": 2639467,
+            "isDeleted": False,
+            "exclude": True
+        }
+    ]
+    fingerprint = calculate_recipe_fingerprint(loras)
+    assert fingerprint == ""
+
+
+def test_calculate_fingerprint_prefers_hash_over_version_id():
+    """Test that hash is used even when modelVersionId is present."""
+    loras = [
+        {
+            "hash": "abc123",
+            "strength": 1.0,
+            "modelVersionId": 2639467,
+            "isDeleted": False,
+            "exclude": False
+        }
+    ]
+    fingerprint = calculate_recipe_fingerprint(loras)
+    assert fingerprint == "abc123:1.0"
+
+
+def test_calculate_fingerprint_without_hash_or_version_id():
+    """Test that loras without hash or modelVersionId are skipped."""
+    loras = [
+        {
+            "hash": "",
+            "strength": 1.0,
+            "modelVersionId": 0,
+            "isDeleted": False,
+            "exclude": False
+        }
+    ]
+    fingerprint = calculate_recipe_fingerprint(loras)
+    assert fingerprint == ""