| name | debug-operator |
| description | TRIGGER when operator errors appear or user reports broken behavior. Systematic diagnosis workflow. |
Debug Operator Workflow
Systematic approach to diagnosing TD operator errors:
- Get errors and warnings:
get_op_errors with recurse=true on the suspected operator and its children
- Inspect the operator:
get_op to see type, family, parameters, inputs, outputs, children
- Check connections:
get_connections to verify input/output wiring is correct
- Read DAT content:
get_dat_content if the operator is a DAT with script errors
- Check parameters:
get_parameter on specific parameters that might be misconfigured
- Check performance:
get_op_performance if the issue is cook-time related
Common Error Patterns
- Missing input: Operator requires a specific input type — check connections
- Script error in DAT: Read the DAT content and fix the Python/expression
- Parameter out of range: Check parameter values against valid ranges
- Missing operator reference: An expression or parameter references a non-existent operator
- Cook error: The operator can't process its inputs — check input data types match expectations
