v1.5.11

feder/__init__.py

@@ -1,5 +1,5 @@
 # PEP 396: The __version__ attribute's value SHOULD be a string.
-__version__ = "1.5.10"
+__version__ = "1.5.11"
 
 
 # Compatibility to eg. django-rest-framework

feder/llm_evaluation/models.py

@@ -235,6 +235,9 @@ def get_normalized_answers(cls, letter):
             normalized_questions_json = (
                 letter.case.monitoring.normalized_response_template
             )
+            instruction_extension = (
+                letter.case.monitoring.letter_normalization_prompt_extension or ""
+            )
         else:
             logger.warning(
                 f"Can not get normalised answer: letter {letter.pk}"
@@ -244,6 +247,7 @@ def get_normalized_answers(cls, letter):
         test_prompt = letter_response_normalization.format(
             institution=institution_name,
             normalized_questions=normalized_questions_json,
+            prompt_instruction_extension=instruction_extension,
             monitoring_response="",
         )
         llm_engine = settings.OPENAI_API_ENGINE_35
@@ -273,6 +277,7 @@ def get_normalized_answers(cls, letter):
             final_prompt = letter_response_normalization.format(
                 institution=institution_name,
                 normalized_questions=normalized_questions_json,
+                prompt_instruction_extension=instruction_extension,
                 monitoring_response=text,
             )
             letter_llm_request = cls.objects.create(

feder/llm_evaluation/tasks.py

@@ -100,6 +100,14 @@ def update_letter_normalized_answers(letter_pk):
         )
         return
 
+    if not letter.ai_evaluation:
+        categorize_letter_in_background(letter_pk)
+        logger.info(
+            f"Letter with pk={letter_pk} has no AI evaluation. Task to update letter"
+            + " categorization and upadte normalized answers created."
+        )
+        return
+
     if EMAIL_IS_ANSWER in letter.ai_evaluation:
         LlmLetterRequest.get_normalized_answers(letter)
         logger.info(f"Letter with pk={letter_pk} answer normalization processed.")