Struct FraudConfig 

pub struct FraudConfig {
    pub enabled: bool,
    pub fraud_rate: f64,
    pub document_fraud_rate: Option<f64>,
    pub propagate_to_lines: bool,
    pub propagate_to_document: bool,
    pub fraud_type_distribution: FraudTypeDistribution,
    pub clustering_enabled: bool,
    pub clustering_factor: f64,
    pub approval_thresholds: Vec<f64>,
}

Fraud simulation configuration.

Document-level vs. line-level fraud

fraud_rate applies to individual journal-entry lines (line-level). document_fraud_rate (optional) applies to source documents (purchase orders, vendor invoices, customer invoices, payments), and when propagate_to_lines is true, every JE derived from a fraudulent document also gets is_fraud = true. This lets users express either:

• pure line-level fraud (document_fraud_rate = None): legacy behaviour;
• pure document-level fraud (fraud_rate ≈ 0 and document_fraud_rate set): fraud rings expressed at document granularity — realistic for PO/invoice fraud schemes where one fraudulent document spawns multiple derived JEs;
• hybrid (both set): document-level scheme fraud plus unrelated line-level slip-ups.

propagate_to_document does the inverse: when a JE is tagged as fraud by the anomaly injector, its source document is also marked fraudulent.

Fields

enabled: bool

Enable fraud scenario generation

fraud_rate: f64

Line-level fraud rate: fraction of individual JE lines flagged as fraud (0.0 to 1.0).

document_fraud_rate: Option<f64>

Document-level fraud rate: fraction of source documents (PO, vendor invoice, customer invoice, payment) flagged as fraud. None disables document-level injection; Some(r) marks ~r × document-count as fraud independently of the line-level rate.

propagate_to_lines: bool

When true, flagging a document as fraudulent cascades is_fraud = true and fraud_type to every journal entry derived from that document, and records fraud_source_document_id on the JE header. Default: true.

propagate_to_document: bool

When true, tagging a JE as fraud via line-level anomaly injection also marks the JE’s source document as fraudulent (if it can be resolved). Default: true.

fraud_type_distribution: FraudTypeDistribution

Fraud type distribution

clustering_enabled: bool

Enable fraud clustering

clustering_factor: f64

Clustering factor

approval_thresholds: Vec<f64>

Approval thresholds for threshold-adjacent fraud pattern

Trait Implementations

impl Clone for FraudConfig

fn clone(&self) -> FraudConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FraudConfig

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

Formats the value using the given formatter.

impl Default for FraudConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for FraudConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for FraudConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.