Struct ScenarioConfig 

pub struct ScenarioConfig {
    pub tags: Vec<String>,
    pub profile: Option<String>,
    pub description: Option<String>,
    pub ml_training: bool,
    pub target_anomaly_ratio: Option<f64>,
    pub metadata: HashMap<String, String>,
}

Scenario configuration for metadata, tagging, and ML training setup.

This section enables tracking the purpose and characteristics of a generation run.

Fields

tags: Vec<String>

Tags for categorizing and filtering datasets. Examples: “fraud_detection”, “retail”, “month_end_stress”, “ml_training”

profile: Option<String>

Data quality profile preset.

• “clean”: Minimal data quality issues (0.1% missing, 0.05% typos)
• “noisy”: Moderate issues (5% missing, 2% typos, 1% duplicates)
• “legacy”: Heavy issues simulating legacy system data (10% missing, 5% typos)

description: Option<String>

Human-readable description of the scenario purpose.

ml_training: bool

Whether this run is for ML training (enables balanced labeling).

target_anomaly_ratio: Option<f64>

Target anomaly class balance for ML training. If set, anomalies will be injected to achieve this ratio.

metadata: HashMap<String, String>

Custom metadata key-value pairs.

Trait Implementations

impl Clone for ScenarioConfig

fn clone(&self) -> ScenarioConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ScenarioConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ScenarioConfig

fn default() -> ScenarioConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ScenarioConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ScenarioConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.