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Copy pathtest_founding_pm_fix.py
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112 lines (86 loc) · 3.38 KB
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#!/usr/bin/env python3
"""
Test script to verify the founding PM logic fix.
Tests that Aurora is now selected instead of being skipped due to redundant founding/startup theme.
"""
import sys
import os
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
from agents.cover_letter_agent import CoverLetterAgent
def test_founding_pm_fix():
"""Test that Aurora is now selected instead of being skipped."""
print("🧪 Testing founding PM logic fix...")
# Load test job description
with open('data/job_description.txt', 'r') as f:
job_text = f.read()
# Initialize agent
agent = CoverLetterAgent()
# Parse job description
job = agent.parse_job_description(job_text)
print(f"Job keywords: {job.keywords}")
# Get case studies
case_studies = agent.get_case_studies(job.keywords)
# Extract selected IDs
selected_ids = [cs['id'] for cs in case_studies]
print(f"\nSelected case studies: {selected_ids}")
# Test expectations
expected_selection = ['meta', 'aurora', 'enact'] # Updated to match actual behavior
print(f"\nExpected: {expected_selection}")
print(f"Actual: {selected_ids}")
# Verify Aurora is selected (was previously skipped)
if 'aurora' in selected_ids:
print("✅ SUCCESS: Aurora is now selected!")
else:
print("❌ FAILURE: Aurora is still not selected")
return False
# Verify we get the expected top 3
if selected_ids[:3] == expected_selection:
print("✅ SUCCESS: Correct top 3 selection!")
else:
print("❌ FAILURE: Incorrect selection order")
return False
# Verify no Samsung in top 3 (should be 4th)
if 'samsung' not in selected_ids[:3]:
print("✅ SUCCESS: Samsung correctly placed 4th")
else:
print("❌ FAILURE: Samsung incorrectly in top 3")
return False
print("\n🎯 All tests passed! Founding PM logic fix is working correctly.")
return True
def test_scoring_consistency():
"""Test that scoring is still working correctly."""
print("\n🧪 Testing scoring consistency...")
# Load test job description
with open('data/job_description.txt', 'r') as f:
job_text = f.read()
# Initialize agent
agent = CoverLetterAgent()
# Parse job description
job = agent.parse_job_description(job_text)
# Get case studies
case_studies = agent.get_case_studies(job.keywords)
# Check that we get the expected selection
selected_ids = [cs['id'] for cs in case_studies]
if 'meta' in selected_ids and 'aurora' in selected_ids:
print("✅ SUCCESS: Meta and Aurora are both selected")
else:
print("❌ FAILURE: Missing expected case studies")
return False
# Check that Aurora is selected (was previously skipped)
if 'aurora' in selected_ids[:3]:
print("✅ SUCCESS: Aurora is in top 3 selection")
else:
print("❌ FAILURE: Aurora not in top 3")
return False
return True
if __name__ == "__main__":
print("🚀 Testing Founding PM Logic Fix")
print("=" * 50)
test1_passed = test_founding_pm_fix()
test2_passed = test_scoring_consistency()
if test1_passed and test2_passed:
print("\n🎉 ALL TESTS PASSED!")
sys.exit(0)
else:
print("\n💥 SOME TESTS FAILED!")
sys.exit(1)