feat(projekt-matching): vLLM guided-json client with extraction and matching prompts

projekt-matching/tests/test_llm.py

@@ -0,0 +1,58 @@
+import json
+from unittest import mock
+
+import pytest
+
+from projektmatch import llm
+
+
+def fake_post(payloads):
+    """Return a mock for requests.post yielding chat completions."""
+    responses = []
+    for p in payloads:
+        r = mock.Mock()
+        r.status_code = 200
+        r.json.return_value = {"choices": [{"message": {"content": p}}]}
+        responses.append(r)
+    return mock.Mock(side_effect=responses)
+
+
+def test_chat_json_strips_think_and_parses():
+    content = "<think>lange Kette</think>{\"a\": 1}"
+    with mock.patch("projektmatch.llm.requests.post", fake_post([content])) as p:
+        out = llm.chat_json("http://v/v1", "m", [{"role": "user", "content": "x"}],
+                            {"type": "object"})
+    assert out == {"a": 1}
+    body = p.call_args.kwargs["json"]
+    assert "max_tokens" not in body
+    assert body["guided_json"] == {"type": "object"}
+
+
+def test_chat_json_fallback_to_response_format():
+    bad = mock.Mock(status_code=400,
+                    text="Unknown parameter: 'guided_json'")
+    good = mock.Mock(status_code=200)
+    good.json.return_value = {"choices": [{"message": {"content": "{}"}}]}
+    with mock.patch("projektmatch.llm.requests.post",
+                    mock.Mock(side_effect=[bad, good])) as p:
+        assert llm.chat_json("http://v/v1", "m", [], {"type": "object"}) == {}
+    assert "response_format" in p.call_args.kwargs["json"]
+
+
+def test_match_cv_retries_on_missing_nr_then_raises():
+    reqs = [{"nr": 1, "text": "Python"}, {"nr": 2, "text": "K8s"}]
+    partial = json.dumps({"ratings": [
+        {"nr": 1, "rating": "yes", "reason": "ok"}]})
+    with mock.patch("projektmatch.llm.requests.post",
+                    fake_post([partial, partial])):
+        with pytest.raises(llm.LlmError, match="unvollständig"):
+            llm.match_cv("http://v/v1", "m", "CV", reqs)
+
+
+def test_match_cv_ok():
+    reqs = [{"nr": 1, "text": "Python"}]
+    full = json.dumps({"ratings": [
+        {"nr": 1, "rating": "unknown", "reason": "Teilevidenz"}]})
+    with mock.patch("projektmatch.llm.requests.post", fake_post([full])):
+        out = llm.match_cv("http://v/v1", "m", "CV", reqs)
+    assert out[0]["rating"] == "unknown"