test: add end to end coverage

backend/tests/test_llm_and_rag.py

@@ -0,0 +1,55 @@
+import json
+
+import httpx
+import pytest
+from sqlalchemy import select
+
+from wisegrade.llm import DeepSeekClient, ModelError, ScoreResult, validate_score
+from wisegrade.models import KnowledgeChunk
+from wisegrade.rag import ingest, retrieve, split_pages
+
+
+def fake_embed(texts):
+    return [[1.0] + [0.0] * 1023 for _ in texts]
+
+
+def test_json_validation_and_evidence():
+    criterion = {"criterion_id": "stage1.problem", "max_score": 25}
+    chunks = [{"chunk_id": 7, "page": 2, "text": "工程需求是实时目标识别"}]
+    result = ScoreResult(criterion_id="stage1.problem", score=19, max_score=25, reason="满足需求",
+                         evidence=[{"chunk_id": 7, "page": 2, "quote": "实时目标识别"}], confidence=.8)
+    assert validate_score(result, criterion, chunks).score == 19
+    with pytest.raises(ModelError):
+        validate_score(result, criterion, [{**chunks[0], "text": "其他内容"}])
+    with pytest.raises(ValueError):
+        ScoreResult(criterion_id="x", score=5, max_score=10, reason="无依据", evidence=[], confidence=.5)
+
+
+def test_deepseek_adapter_mock_and_key_not_in_error(tmp_path):
+    image = tmp_path / "page.png"
+    image.write_bytes(b"png fixture")
+    def handler(request):
+        assert request.url.path == "/chat/completions"
+        assert request.headers["Authorization"] == "Bearer fake-secret"
+        content = json.loads(request.content)["messages"][1]["content"]
+        assert content[1]["type"] == "image_url" and content[1]["image_url"]["url"].startswith("data:image/png;base64,")
+        return httpx.Response(200, json={"choices": [{"message": {"content": json.dumps({"criterion_id": "x", "score": 0,
+            "max_score": 10, "reason": "缺失", "evidence": [], "confidence": .2})}}]})
+    client = DeepSeekClient(base_url="https://example.test", api_key="fake-secret", retries=0, transport=httpx.MockTransport(handler))
+    assert client.json_call("prompt", {}, ScoreResult, images=[str(image)]).score == 0
+    bad = DeepSeekClient(base_url="https://example.test", api_key="fake-secret", retries=0,
+                         transport=httpx.MockTransport(lambda _: httpx.Response(500, text="fake-secret")))
+    with pytest.raises(ModelError) as error:
+        bad.json_call("prompt", {}, ScoreResult)
+    assert "fake-secret" not in str(error.value)
+
+
+def test_project_isolation_and_chunk_metadata(db):
+    pages = [{"page_number": 3, "section": "实验", "text": "机器人实验数据和分析"}]
+    ingest(db, course_version_id=1, project_id=101, submission_file_id=None, title="学生A", category="stage3",
+           source_hash="a", pages=pages, embedder=fake_embed)
+    ingest(db, course_version_id=1, project_id=102, submission_file_id=None, title="学生B", category="stage3",
+           source_hash="b", pages=[{**pages[0], "text": "另一个学生的秘密"}], embedder=fake_embed)
+    hits = retrieve(db, course_version_id=1, project_id=101, category="stage3", query="实验数据", embedder=fake_embed)
+    assert hits and all(hit["project_id"] == 101 and hit["page"] == 3 for hit in hits)
+    assert "秘密" not in str(hits)