Use intent model from archfc to pick prompt gateway (#328)

tests/modelserver/test_hallucination.py

@@ -0,0 +1,49 @@
+import json
+import os
+import pytest
+import requests
+from deepdiff import DeepDiff
+import logging
+import yaml
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+MODEL_SERVER_ENDPOINT = os.getenv(
+    "MODEL_SERVER_ENDPOINT", "http://localhost:51000/function_calling"
+)
+
+# Load test data from YAML file
+script_dir = os.path.dirname(__file__)
+
+# Construct the full path to the YAML file
+yaml_file_path = os.path.join(script_dir, "test_hallucination_data.yaml")
+
+# Load test data from YAML file
+with open(yaml_file_path, "r") as file:
+    test_data_yaml = yaml.safe_load(file)
+
+
+@pytest.mark.parametrize(
+    "test_data",
+    [
+        pytest.param(test_case, id=test_case["id"])
+        for test_case in test_data_yaml["test_cases"]
+    ],
+)
+def test_model_server(test_data):
+    input = test_data["input"]
+    expected = test_data["expected"]
+
+    response = requests.post(MODEL_SERVER_ENDPOINT, json=input)
+    assert response.status_code == 200
+    # print(json.dumps(response.json()))
+    # ensure that response is json
+    assert response.headers["content-type"] == "application/json"
+    response_json = response.json()
+    assert response_json
+    metadata = response_json.get("metadata", [])
+    assert (metadata["hallucination"].lower() == "true") == expected[0]["hallucination"]
+    assert (metadata["prompt_prefilling"].lower() == "true") == expected[0][
+        "prompt_prefilling"
+    ]