From 20110fded872fcdcb62f79ac55e37792e86a187c Mon Sep 17 00:00:00 2001
From: everythingfades <raymondguhonglei@163.com>
Date: Tue, 20 Jan 2026 17:02:28 +0000
Subject: [PATCH] dummy: changing the evaluation function to dummy to check
 received payload

---
 evaluation_function/compareFSA_service.py | 37 ++++++++++++
 evaluation_function/evaluation.py         | 74 ++++++++++++-----------
 2 files changed, 77 insertions(+), 34 deletions(-)
 create mode 100644 evaluation_function/compareFSA_service.py

diff --git a/evaluation_function/compareFSA_service.py b/evaluation_function/compareFSA_service.py
new file mode 100644
index 0000000..31be923
--- /dev/null
+++ b/evaluation_function/compareFSA_service.py
@@ -0,0 +1,37 @@
+# dummy file for shimmy tests
+
+import sys
+import json
+from typing import Any
+from .evaluation import evaluation_function
+from lf_toolkit.evaluation import Params
+
+def main():
+    for line in sys.stdin:
+        try:
+            # Parse request from Shimmy
+            req = json.loads(line)
+            response: Any = req["input"]["response"]
+            answer: Any = req["input"]["answer"]
+            params_dict: dict = req["input"].get("params", {})
+            params = Params(params_dict)
+
+            # Call your evaluation function
+            result = evaluation_function(response, answer, params)
+
+            # Convert LFResult to JSON
+            resp = {
+                "output": {
+                    "is_correct": result.is_correct,
+                    "feedback_items": result.feedback_items
+                }
+            }
+            print(json.dumps(resp), flush=True)
+
+        except Exception as e:
+            # Always return JSON even on error
+            resp = {"output": {"is_correct": False, "feedback_items": [("error", str(e))]}}
+            print(json.dumps(resp), flush=True)
+
+if __name__ == "__main__":
+    main()
diff --git a/evaluation_function/evaluation.py b/evaluation_function/evaluation.py
index 6644df5..f2d3cf1 100755
--- a/evaluation_function/evaluation.py
+++ b/evaluation_function/evaluation.py
@@ -5,47 +5,53 @@
 from .schemas.result import Result
 from .correction import analyze_fsa_correction
 
-
-
 def evaluation_function(
-    response: Any,
-    answer: Any,
-    params: Params,
+    payload: Any
 ) -> LFResult:
-    """
-    Evaluate a student's FSA response against the expected answer.
+  return LFResult(
+    is_correct=False,
+        feedback_items=[("error", f"{payload}")]
+    )
+
+# def evaluation_function(
+#     response: Any,
+#     answer: Any,
+#     params: Params,
+# ) -> LFResult:
+#     """
+#     Evaluate a student's FSA response against the expected answer.
     
-    Args:
-        response: Student's FSA (dict with states, alphabet, transitions, etc.), since frontend constriants, this is FSAFrontend
-        answer: Expected FSA still, FSAFrontend for the same reason
-        params: Extra parameters (e.g., require_minimal)
+#     Args:
+#         response: Student's FSA (dict with states, alphabet, transitions, etc.), since frontend constriants, this is FSAFrontend
+#         answer: Expected FSA still, FSAFrontend for the same reason
+#         params: Extra parameters (e.g., require_minimal)
     
-    Returns:
-        LFResult with is_correct and feedback
-    """
-    try:
-        # Parse FSAs from input
-        student_fsa_ = FSAFrontend.model_validate(response)
-        expected_fsa_ = FSAFrontend.model_validate(answer)
+#     Returns:
+#         LFResult with is_correct and feedback
+#     """
+#     try:
+#         # Parse FSAs from input
+#         student_fsa_ = FSAFrontend.model_validate(response)
+#         expected_fsa_ = FSAFrontend.model_validate(answer)
 
-        student_fsa = student_fsa_.from_flattened()
-        expected_fsa = expected_fsa_.from_flattened()
+#         student_fsa = student_fsa_.from_flattened()
+#         expected_fsa = expected_fsa_.from_flattened()
 
         
-        # Get require_minimal from params if present
-        require_minimal = params.get("require_minimal", False) if hasattr(params, "get") else False
+#         # Get require_minimal from params if present
+#         require_minimal = params.get("require_minimal", False) if hasattr(params, "get") else False
         
-        # Run correction pipeline
-        result: Result = analyze_fsa_correction(student_fsa, expected_fsa, require_minimal)
+#         # Run correction pipeline
+#         result: Result = analyze_fsa_correction(student_fsa, expected_fsa, require_minimal)
         
-        # Convert to lf_toolkit Result
-        return LFResult(
-            is_correct=result.is_correct,
-            feedback_items=[("feedback", result.feedback)]
-        )
+#         # Convert to lf_toolkit Result
+#         return LFResult(
+#             is_correct=result.is_correct,
+#             feedback_items=[("feedback", result.feedback)]
+#         )
         
-    except Exception as e:
-        return LFResult(
-            is_correct=False,
-            feedback_items=[("error", f"Invalid FSA format: {str(e)}, received: \n\nresponse: {response}\n\n answer: {answer}, \n\nparams: {params}")]
-        )
+#     except Exception as e:
+#         return LFResult(
+#             is_correct=False,
+#             feedback_items=[("error", f"Invalid FSA format: {str(e)}, received: \n\nresponse: {response}\n\n answer: {answer}, \n\nparams: {params}")]
+#         )