SentimentDetectiontest / backend /test_sentiment.py
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Condense prompt, add implicit sympathy instructions, and update tests
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import os
import sys
from unittest.mock import MagicMock, patch
# Add current directory to path for imports
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
from main import run_flow_b
def test_run_flow_b_parsing():
print("Testing run_flow_b parsing and extraction logic...")
mock_response = MagicMock()
mock_response.content = '{"s": "frustration", "r": "Let\'s simplify this. What do you get when you add the numbers first?"}'
with patch("main.ChatGoogleGenerativeAI") as MockLLM:
mock_llm_instance = MagicMock()
mock_llm_instance.invoke.return_value = mock_response
MockLLM.return_value = mock_llm_instance
state, reply, context, est_in, est_out = run_flow_b(
message="I am stuck on this step, it is too hard!",
api_key="fake-api-key"
)
assert state == "frustration", f"Expected frustration, got {state}"
assert "simplify" in reply, f"Expected reply to contain simplification, got {reply}"
assert est_in > 0
assert est_out > 0
print("Mocked run_flow_b test passed!")
if __name__ == "__main__":
test_run_flow_b_parsing()