File size: 1,775 Bytes
c76423f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | import unittest
from rag.retrieve import AnswerDraftResult, generate_answer
class FakeResponse:
def __init__(self, content):
self.content = content
class FakeStructuredRunnable:
def __init__(self, structured_response):
self.structured_response = structured_response
def invoke(self, prompt):
return self.structured_response
class FakeStructuredLLM:
def __init__(self, structured_response):
self.structured_response = structured_response
self.prompts = []
def with_structured_output(self, schema):
self.schema = schema
return FakeStructuredRunnable(self.structured_response)
def invoke(self, prompt):
self.prompts.append(prompt)
return FakeResponse("")
class AnswerStructuredOutputTests(unittest.TestCase):
def test_generate_answer_uses_structured_output_when_available(self):
llm = FakeStructuredLLM(AnswerDraftResult(answer="Structured answer [1]"))
context = "Source [1] climate note"
result = generate_answer("What is climate change?", context, llm)
self.assertEqual(result, "Structured answer [1]")
self.assertIs(llm.schema, AnswerDraftResult)
def test_generate_answer_falls_back_to_plain_text_when_structured_output_is_missing(self):
class PlainLLM:
def __init__(self):
self.prompts = []
def invoke(self, prompt):
self.prompts.append(prompt)
return FakeResponse("Plain answer [1]")
llm = PlainLLM()
context = "Source [1] climate note"
result = generate_answer("What is climate change?", context, llm)
self.assertEqual(result, "Plain answer [1]")
if __name__ == "__main__":
unittest.main()
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