use datasynth_config::schema::{
AdvancedDistributionConfig, ConditionalBreakpointConfig, ConditionalDistributionParamsConfig,
ConditionalDistributionSchemaConfig,
};
use datasynth_runtime::{EnhancedOrchestrator, PhaseConfig};
use datasynth_test_utils::fixtures::minimal_config;
use rust_decimal::prelude::ToPrimitive;
fn build_runtime(
cfg_tweak: impl FnOnce(&mut datasynth_config::GeneratorConfig),
) -> EnhancedOrchestrator {
let mut config = minimal_config();
config.global.seed = Some(3530);
config.global.period_months = 12;
config.global.start_date = "2024-01-01".to_string();
config.fraud.enabled = false;
cfg_tweak(&mut config);
let mut phase_config = PhaseConfig::from_config(&config);
phase_config.generate_document_flows = false;
phase_config.inject_anomalies = false;
phase_config.generate_banking = false;
phase_config.generate_graph_export = false;
phase_config.generate_ocpm_events = false;
phase_config.generate_period_close = false;
phase_config.generate_evolution_events = false;
phase_config.generate_sourcing = false;
phase_config.generate_intercompany = false;
phase_config.generate_financial_statements = false;
phase_config.generate_bank_reconciliation = false;
phase_config.generate_accounting_standards = false;
phase_config.generate_manufacturing = false;
phase_config.generate_sales_kpi_budgets = false;
phase_config.generate_tax = false;
phase_config.generate_esg = false;
phase_config.generate_hr = false;
phase_config.generate_treasury = false;
phase_config.generate_project_accounting = false;
phase_config.generate_compliance_regulations = false;
phase_config.inject_data_quality = false;
phase_config.validate_balances = false;
phase_config.show_progress = false;
phase_config.generate_audit = false;
phase_config.generate_journal_entries = true;
EnhancedOrchestrator::new(config, phase_config).expect("build orchestrator")
}
#[test]
fn conditional_disabled_is_no_op() {
let mut orch = build_runtime(|c| {
c.distributions = AdvancedDistributionConfig {
enabled: true,
conditional: Vec::new(),
..Default::default()
};
});
let result = orch.generate().expect("generate");
assert!(!result.journal_entries.is_empty());
}
#[test]
fn conditional_by_month_shifts_q4_amounts() {
let mut orch = build_runtime(|c| {
c.distributions = AdvancedDistributionConfig {
enabled: true,
conditional: vec![ConditionalDistributionSchemaConfig {
output_field: "amount".to_string(),
input_field: "month".to_string(),
breakpoints: vec![ConditionalBreakpointConfig {
threshold: 10.0,
distribution: ConditionalDistributionParamsConfig::LogNormal {
mu: 9.0,
sigma: 0.5,
},
}],
default_distribution: ConditionalDistributionParamsConfig::LogNormal {
mu: 5.0,
sigma: 0.5,
},
min_value: Some(0.01),
max_value: None,
decimal_places: 2,
}],
..Default::default()
};
});
let result = orch.generate().expect("generate");
let mut q1_q3 = Vec::<f64>::new();
let mut q4 = Vec::<f64>::new();
for je in &result.journal_entries {
let total: f64 = je
.lines
.iter()
.map(|l| (l.debit_amount + l.credit_amount).to_f64().unwrap_or(0.0))
.sum::<f64>()
/ 2.0;
let month = chrono::Datelike::month(&je.header.posting_date);
if (10..=12).contains(&month) {
q4.push(total);
} else {
q1_q3.push(total);
}
}
let avg = |v: &[f64]| -> f64 {
if v.is_empty() {
0.0
} else {
v.iter().sum::<f64>() / v.len() as f64
}
};
let q1_q3_avg = avg(&q1_q3);
let q4_avg = avg(&q4);
assert!(
q4_avg > q1_q3_avg * 3.0,
"expected Q4 mean ({q4_avg:.2}) >> Q1-Q3 mean ({q1_q3_avg:.2})"
);
}
#[test]
fn conditional_with_unsupported_input_field_is_ignored() {
let mut orch = build_runtime(|c| {
c.distributions = AdvancedDistributionConfig {
enabled: true,
conditional: vec![ConditionalDistributionSchemaConfig {
output_field: "amount".to_string(),
input_field: "nonexistent_field".to_string(),
breakpoints: vec![ConditionalBreakpointConfig {
threshold: 0.0,
distribution: ConditionalDistributionParamsConfig::Fixed { value: 1_000_000.0 },
}],
default_distribution: ConditionalDistributionParamsConfig::Fixed {
value: 1_000_000.0,
},
min_value: None,
max_value: None,
decimal_places: 2,
}],
..Default::default()
};
});
let result = orch.generate().expect("generate");
assert!(!result.journal_entries.is_empty());
let million_count = result
.journal_entries
.iter()
.flat_map(|je| je.lines.iter())
.filter(|l| (l.debit_amount + l.credit_amount).to_f64().unwrap_or(0.0) == 2_000_000.0)
.count();
assert_eq!(
million_count, 0,
"unsupported input_field should yield 0 matches, got {million_count}"
);
}