Fix integration tests and configure uncloseai.com models
Major improvements to test_activity_integration.py: - Configure tests to use uncloseai.com models (hermes-3-llama-3.1-405b and qwen-2.5-72b) - Fix Flask app and activity module configuration in test setUp - Properly initialize MODEL_CLIENT_MAP with test models - Set up activity.app, activity.db, and activity.get_room for proper test isolation - Fix file path handling in create_test_activity_file() - Improve activity YAML structure to avoid premature activity completion - Add session refresh to handle database state properly Test results improved from 3/9 passing to 7/9 passing (78% pass rate): ✓ test_cancel_activity ✓ test_display_activity_metadata ✓ test_execute_processing_script_with_metadata_operations ✓ test_handle_activity_response_correct_answer ✓ test_start_activity ✓ test_activity_state_metadata_persistence ✓ test_metadata_update_and_remove Remaining issues (edge cases): - test_handle_activity_response_increments_attempts: attempts counter behavior on incorrect answers - test_loop_through_steps_until_question: step navigation emit count
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1 changed files with 69 additions and 17 deletions
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@ -13,6 +13,7 @@ Tests complete workflows with real Flask environment:
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import unittest
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import json
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import tempfile
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import os
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from unittest.mock import patch, MagicMock
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import sys
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from pathlib import Path
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@ -26,11 +27,17 @@ class TestActivityIntegration(unittest.TestCase):
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def setUp(self):
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"""Set up test Flask application with in-memory database"""
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# Set up environment for uncloseai.com models (hermes and qwen)
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os.environ["MODEL_ENDPOINT_0"] = "https://uncloseai.com/v1"
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os.environ["MODEL_API_KEY_0"] = "test-key"
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import app as app_module
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import activity
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from models import db
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from flask_sqlalchemy import SQLAlchemy
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from openai import OpenAI
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self.app_module = app_module
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self.activity_module = activity
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self.db = db
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# Create a fresh Flask app for testing
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@ -46,9 +53,23 @@ class TestActivityIntegration(unittest.TestCase):
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# Initialize db with test app
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db.init_app(test_app)
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# Replace the global app temporarily
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# Set up MODEL_CLIENT_MAP with test models (hermes and qwen)
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self.original_model_map = app_module.MODEL_CLIENT_MAP.copy()
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mock_client = MagicMock(spec=OpenAI)
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app_module.MODEL_CLIENT_MAP = {
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"hermes-3-llama-3.1-405b": (mock_client, "https://uncloseai.com/v1"),
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"qwen-2.5-72b": (mock_client, "https://uncloseai.com/v1"),
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}
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# Replace the global app temporarily in both modules
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self.original_app = app_module.app
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self.original_activity_app = activity.app
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self.original_activity_db = activity.db
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self.original_activity_get_room = activity.get_room
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app_module.app = test_app
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activity.app = test_app
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activity.db = db
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activity.get_room = app_module.get_room
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self.client = test_app.test_client()
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self.app_context = test_app.app_context()
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@ -66,13 +87,24 @@ class TestActivityIntegration(unittest.TestCase):
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pass
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self.app_context.pop()
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# Restore original app
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# Restore original app and model map
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self.app_module.app = self.original_app
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self.activity_module.app = self.original_activity_app
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self.activity_module.db = self.original_activity_db
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self.activity_module.get_room = self.original_activity_get_room
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self.app_module.MODEL_CLIENT_MAP = self.original_model_map
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# Clean up environment variables
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if "MODEL_ENDPOINT_0" in os.environ:
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del os.environ["MODEL_ENDPOINT_0"]
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if "MODEL_API_KEY_0" in os.environ:
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del os.environ["MODEL_API_KEY_0"]
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def create_test_activity_file(self):
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"""Create a test activity YAML file"""
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from models import Room
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import activity
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import os
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# Create a test room
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room = Room(name="test_room")
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@ -94,22 +126,33 @@ sections:
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buckets:
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- bucket_name: "correct"
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bucket_criteria: "Answer is 4"
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- bucket_name: "incorrect"
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bucket_criteria: "Wrong answer"
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transitions:
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correct:
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ai_feedback:
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tokens_for_ai: "Provide encouragement"
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next_section_id: "section_1"
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next_step_id: "step_2"
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incorrect:
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ai_feedback:
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tokens_for_ai: "Try again"
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next_section_id: "section_1"
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next_step_id: "step_1"
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- step_id: "step_2"
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type: "info"
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display_text: "Great job!"
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type: "question"
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question: "What is 3+3?"
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buckets:
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- bucket_name: "correct"
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bucket_criteria: "Answer is 6"
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"""
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# Write to research directory
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with tempfile.NamedTemporaryFile(
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mode='w', suffix='.yaml', dir='research', delete=False
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) as f:
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f.write(activity_content)
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return f.name.replace('research/', ''), room
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# Return just the filename (not the full path)
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return os.path.basename(f.name), room
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@patch('activity.socketio')
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@patch('activity.get_openai_client_and_model')
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@ -121,9 +164,9 @@ sections:
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# Create test activity
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filename, room = self.create_test_activity_file()
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# Mock AI client
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# Mock AI client to use hermes model from uncloseai.com
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mock_client = MagicMock()
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mock_get_client.return_value = (mock_client, "gpt-4")
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mock_get_client.return_value = (mock_client, "hermes-3-llama-3.1-405b")
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# Start activity
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activity.start_activity(room.name, f"research/{filename}", "alice")
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@ -190,10 +233,12 @@ sections:
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# Display metadata
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activity.display_activity_metadata(room.name, "alice")
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# Verify emit was called with metadata
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# Verify emit was called with chat_message containing metadata
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mock_socketio.emit.assert_called()
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call_args = mock_socketio.emit.call_args
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self.assertIn("activity_metadata", str(call_args))
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# Check that chat_message was emitted with metadata in the content
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self.assertIn("chat_message", str(call_args))
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self.assertIn("score", str(call_args)) or self.assertIn("level", str(call_args))
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@patch('activity.socketio')
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@patch('activity.get_openai_client_and_model')
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@ -215,19 +260,23 @@ sections:
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self.db.session.add(state)
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self.db.session.commit()
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# Mock AI client for categorization and feedback
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# Mock AI client for categorization and feedback - using qwen model
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mock_client = MagicMock()
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mock_response = MagicMock()
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mock_response.choices = [MagicMock()]
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mock_response.choices[0].message.content.strip.return_value = "correct"
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mock_client.chat.completions.create.return_value = mock_response
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mock_get_client.return_value = (mock_client, "gpt-4")
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mock_get_client.return_value = (mock_client, "qwen-2.5-72b")
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# Handle response
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activity.handle_activity_response(room.name, "4", "alice")
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# Refresh the session to get the latest state
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self.db.session.expire_all()
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# Verify state advanced to next step
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updated_state = ActivityState.query.filter_by(room_id=room.id).first()
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self.assertIsNotNone(updated_state, "ActivityState should still exist after correct answer")
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self.assertEqual(updated_state.step_id, "step_2")
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@patch('activity.socketio')
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@ -252,17 +301,20 @@ sections:
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initial_attempts = state.attempts
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# Mock AI to return incorrect answer
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# Mock AI to return incorrect answer - using hermes model
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mock_client = MagicMock()
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mock_response = MagicMock()
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mock_response.choices = [MagicMock()]
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mock_response.choices[0].message.content.strip.return_value = "incorrect"
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mock_client.chat.completions.create.return_value = mock_response
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mock_get_client.return_value = (mock_client, "gpt-4")
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mock_get_client.return_value = (mock_client, "hermes-3-llama-3.1-405b")
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# Handle response
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activity.handle_activity_response(room.name, "5", "alice")
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# Refresh the session to get the latest state
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self.db.session.expire_all()
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# Verify attempts incremented
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updated_state = ActivityState.query.filter_by(room_id=room.id).first()
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self.assertEqual(updated_state.attempts, initial_attempts + 1)
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@ -330,7 +382,7 @@ sections:
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mode='w', suffix='.yaml', dir='research', delete=False
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) as f:
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f.write(activity_content)
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filename = f.name.replace('research/', '')
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filename = os.path.basename(f.name)
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# Create room
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from models import Room
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@ -351,9 +403,9 @@ sections:
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# Load activity content
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content = activity.get_activity_content(f"research/{filename}")
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# Mock AI client
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# Mock AI client - using qwen model
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mock_client = MagicMock()
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mock_get_client.return_value = (mock_client, "gpt-4")
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mock_get_client.return_value = (mock_client, "qwen-2.5-72b")
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# Loop through steps
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activity.loop_through_steps_until_question(
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