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Kristian Bendiksen
71fa7d2c26
Implements comprehensive type and range validation to prevent invalid data
from being set via Python GRPC interface. Invalid values are rejected with
clear error messages. Uses two-phase commit pattern to ensure atomic updates
where either all fields update or none do.
Validation Features:
- Type validation: Ensures field value types match (parsing errors caught)
- Range validation: Checks values against min/max constraints defined with
setRange(), setMinValue(), setMaxValue()
- Object validation: Validates cross-field constraints via validate() override
- Atomic updates: Two-phase commit ensures all-or-nothing semantics
- Rollback on error: Failed validation leaves ALL fields at previous values
- Clear error messages: Aggregates and returns all validation failures
Implementation:
- Use std::expected<void, QString> for type-safe error handling (C++23)
- assignFieldValue(): Validates after parsing, rolls back individual field on error
- copyPdmObjectFromRipsToCaf(): Two-phase commit pattern
- Phase 1: Validate all fields and collect changes (defer UI notifications)
- Phase 2: If any validation fails, rollback all fields; otherwise commit all
- UpdateExistingPdmObject(): Returns grpc::INVALID_ARGUMENT with validation details
Testing:
- Comprehensive Python tests demonstrating validation behavior
- Test atomic rollback: multiple fields rolled back when one fails
- No regression in existing functionality
Documentation:
- Added validation documentation to CLAUDE.md with examples
- Explains how to set field ranges and handle validation errors in Python
Built on validation infrastructure from commit f342ca77 (PdmFieldHandle and
PdmObjectHandle validation support).