chore: import upstream snapshot with attribution

backend/test/unit/knowledge/test_kb_utils.py

@@ -0,0 +1,54 @@
+import pytest
+
+from yuxi.knowledge.utils.kb_utils import prepare_item_metadata
+
+
+async def test_prepare_item_metadata_preserves_uploaded_file_size():
+    item = "minio://knowledgebases/db/upload/demo.txt"
+    params = {
+        "content_hashes": {item: "hash"},
+        "file_sizes": {item: 1234},
+    }
+
+    metadata = await prepare_item_metadata(item, "file", "db", params=params)
+
+    assert metadata["size"] == 1234
+    assert "file_sizes" not in (metadata.get("processing_params") or {})
+
+
+async def test_prepare_item_metadata_uses_source_path_as_display_filename():
+    item = "minio://knowledgebases/db/upload/intro_1710000000000.md"
+    params = {
+        "content_hashes": {item: "hash"},
+        "source_path": "guides/setup/Intro.MD",
+    }
+
+    metadata = await prepare_item_metadata(item, "file", "db", params=params)
+
+    assert metadata["filename"] == "guides/setup/Intro.MD"
+    assert metadata["file_type"] == "md"
+    assert metadata["path"] == item
+
+
+async def test_prepare_item_metadata_preserves_preprocessed_file_size():
+    item = "minio://knowledgebases/db/upload/page.html"
+    params = {
+        "_preprocessed_map": {
+            item: {
+                "path": item,
+                "content_hash": "hash",
+                "filename": "https://example.com",
+                "file_size": 5678,
+            }
+        }
+    }
+
+    metadata = await prepare_item_metadata(item, "file", "db", params=params)
+
+    assert metadata["size"] == 5678
+    assert "_preprocessed_map" not in (metadata.get("processing_params") or {})
+
+
+async def test_prepare_item_metadata_rejects_direct_url_content_type():
+    with pytest.raises(ValueError, match="Unsupported content_type"):
+        await prepare_item_metadata("https://example.com", "url", "db")