Survey Form Bridge Test

Testing: Basic Telehandler Request

Input: I need a telehandler to lift 1500 pounds up to 40 feet high and reach 20 feet out. This is for outdoor construction work.

1. AI Parsing Result:

{
    "error": "OpenAI error (0): "
}

❌ AI Parsing failed: OpenAI error (0):

Testing: Boom Lift Indoor Work

Input: Need a boom lift for indoor warehouse work, reaching 35 feet high with 2 people (400 lbs total).

1. AI Parsing Result:

{
    "error": "OpenAI error (0): "
}

❌ AI Parsing failed: OpenAI error (0):

Testing: Up and Over Scenario

Input: I need to reach over a 12-foot wall to access a work area 30 feet high for maintenance with tools and materials.

1. AI Parsing Result:

{
    "error": "OpenAI error (0): "
}

❌ AI Parsing failed: OpenAI error (0):

Summary

This test validates the AI Chatbot → Survey Form Bridge approach that:

• ✅ Parses natural language using your fine-tuned OpenAI model
• ✅ Maps AI parameters to iOS survey form structure
• ✅ Uses the same initialloadR4.php workflow as the mobile app
• ✅ Avoids the constraint violations from direct stored procedure calls
• ✅ Gets real JED-EYE recommendations through the proven pathway

Next Steps:

1. Run this test to validate the mapping logic
2. Test with a real company API key using the updated rentalChat.php
3. Verify that recommendations come from real JED-EYE data
4. Add any missing parameter mappings based on your AI model's output