Add OPENAI_BASE_URL and end-to-end AI tests through the SDK

- Optional OPENAI_BASE_URL for OpenAI-compatible endpoints or proxies - Tests run the real openai SDK against a local stub server: request shape (model, auth, strict json_schema), text cleanup, photo import and an authentication error mapped to the UI message Co-Authored-By: Claude Opus 5.5 <[email protected]>
2026-10-30 22:06:35 +01:00
parent 74e11845de
commit 3b72436119
6 changed files with 84 additions and 1 deletions
@@ -313,3 +313,79 @@ def test_refusal_and_truncation(monkeypatch):
    monkeypatch.setattr(ai, "_client", lambda: StubClient(content='{"is_re', finish_reason="length"))
    with pytest.raises(ai.AIError, match="zu lang"):
        ai._create_completion([])
+
+
+# --- End to end through the real OpenAI SDK against a local stub server --------------------
+
+
+@pytest.fixture
+def stub_openai_server(settings):
+    """A local HTTP server that speaks enough of the Chat Completions API for one request."""
+    import threading
+    from http.server import BaseHTTPRequestHandler, HTTPServer
+
+    received = {}
+    reply = {"status": 200, "body": None}
+
+    class Handler(BaseHTTPRequestHandler):
+        def do_POST(self):
+            length = int(self.headers.get("Content-Length", 0))
+            received["path"] = self.path
+            received["auth"] = self.headers.get("Authorization")
+            received["body"] = json.loads(self.rfile.read(length))
+            body = reply["body"] or {
+                "id": "chatcmpl-test", "object": "chat.completion", "created": 0, "model": received["body"]["model"],
+                "choices": [{"index": 0, "finish_reason": "stop",
+                             "message": {"role": "assistant", "content": ai_answer(), "refusal": None}}],
+                "usage": {"prompt_tokens": 1, "completion_tokens": 1, "total_tokens": 2},
+            }
+            data = json.dumps(body).encode()
+            self.send_response(reply["status"])
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(data)))
+            self.end_headers()
+            self.wfile.write(data)
+
+        def log_message(self, *args):
+            pass
+
+    server = HTTPServer(("127.0.0.1", 0), Handler)
+    threading.Thread(target=server.serve_forever, daemon=True).start()
+    settings.OPENAI_API_KEY = "sk-test-local"
+    settings.OPENAI_BASE_URL = f"http://127.0.0.1:{server.server_port}/v1"
+    settings.OPENAI_MODEL = "stub-model"
+    yield received, reply
+    server.shutdown()
+
+
+@pytest.mark.django_db
+def test_end_to_end_ai_cleanup_through_sdk(stub_openai_server, user_client):
+    received, _ = stub_openai_server
+    response = user_client.post(reverse("recipes:create"), form_data(ai="1"))
+    assert response.status_code == 200
+    assert response.context["form"].initial["title"] == "Linsen-Dal"
+    assert received["path"] == "/v1/chat/completions"
+    assert received["auth"] == "Bearer sk-test-local"
+    body = received["body"]
+    assert body["model"] == "stub-model"
+    assert body["response_format"]["json_schema"]["strict"] is True
+    assert body["messages"][0]["role"] == "system"
+    assert not Recipe.objects.exists()
+
+
+@pytest.mark.django_db
+def test_end_to_end_api_error_through_sdk(stub_openai_server, user_client):
+    _, reply = stub_openai_server
+    reply["status"] = 401
+    reply["body"] = {"error": {"message": "Incorrect API key", "type": "invalid_request_error", "code": "invalid_api_key"}}
+    response = user_client.post(reverse("recipes:create"), form_data(ai="1"))
+    assert "API-Key ist ungültig" in response.content.decode()
+
+
+@pytest.mark.django_db
+def test_end_to_end_photo_import_through_sdk(stub_openai_server, user_client):
+    received, _ = stub_openai_server
+    response = user_client.post(reverse("recipes:import_photo"), {"photos": [image_upload()]})
+    assert response.context["form"].initial["title"] == "Linsen-Dal"
+    parts = received["body"]["messages"][1]["content"]
+    assert any(p["type"] == "image_url" and p["image_url"]["url"].startswith("data:image/jpeg;base64,") for p in parts)