Validator

Mission Data Validation Module

Note

Planned functionality includes: - Mission-farm compatibility checks - Temporal constraint validation - Resource availability verification - Spatial boundary validation - Database consistency checks

Warning

Current implementation is incomplete and requires: - Farm capability mapping integration - Database connection implementation - Detailed geometric validation logic

validator.validate_mission(mission_data: Dict[str, Any], mission_logger: Logger) → int

Validates mission structure against operational constraints.

Parameters:

• mission_data – Complete mission specification including: - mission_id: Unique mission identifier - tasks: List of mission tasks - vehicles: List of assigned vehicles - temporal_constraints: Time windows/limits

• mission_logger – Configured logger instance

Returns:

Validated mission ID

Raises:

• KeyError – If required mission fields are missing

• ValueError – If mission parameters violate constraints

Example

try:
    mid = validate_mission(mission_data, logger)
except ValidationError as e:
    handle_error(e)

Implement:

• Farm capability matrix validation

• Vehicle-task compatibility checks

• Temporal constraint enforcement

• Resource allocation verification

validator.validate_plan(mission_id: int, vehicle_id: int, plan: Dict[str, Any], mission_logger: Logger) → None

Validates vehicle plan against mission requirements.

Parameters:

• mission_id – Parent mission identifier

• vehicle_id – Target vehicle ID

• plan – Vehicle-specific task plan containing: - task_sequence: Ordered task list - resource_allocation: Assigned resources - temporal_parameters: Time constraints

• mission_logger – Configured logger instance

Raises:

• ValueError – For constraint violations

• TypeError – For invalid plan structure

Example

validate_plan(123, 456, vehicle_plan, logger)

Implement:

• Task dependency resolution checks

• Resource capacity validation

• Spatial boundary verification

• Temporal consistency checks