Refine optional eval dependency

Author: RobGeada

src/endpoints/evaluation/lm_evaluation_harness.py

@@ -11,15 +11,13 @@
 
 try:
     from lm_eval.__main__ import setup_parser as lm_eval_setup_parser
-    available = True
+    from fastapi_utils.tasks import repeat_every
 except ImportError:
-    available = False
+    raise ImportError("The TrustyAI service was not built with LM-Evaluation-Harness support, use `pip install .[eval]`")
 
 from pydantic import BaseModel, create_model
 
 from fastapi import HTTPException
-from fastapi_utils.tasks import repeat_every
-
 from fastapi import APIRouter
 import subprocess
 import logging

src/main.py

@@ -25,7 +25,11 @@
 from src.endpoints.metrics.metrics_info import router as metrics_info_router
 from src.endpoints.data.data_download import router as data_download_router
 
-from src.endpoints.evaluation.lm_evaluation_harness import router as lm_evaluation_harness_router, available as lm_evaluation_harness_available
+try:
+    from src.endpoints.evaluation.lm_evaluation_harness import router as lm_evaluation_harness_router
+    lm_evaluation_harness_available = True
+except ImportError:
+    lm_evaluation_harness_available = False
 
 logging.basicConfig(
     level=logging.DEBUG,