# datasynth-core
Core domain models, traits, and distributions for synthetic accounting data generation.
## Overview
`datasynth-core` provides the foundational building blocks for the SyntheticData workspace:
- **Domain Models**: Journal entries, chart of accounts, master data, documents, anomalies
- **Statistical Distributions**: Line item sampling, amount generation, temporal patterns
- **Core Traits**: Generator and Sink interfaces for extensibility
- **Template System**: File-based templates for regional/sector customization
- **Infrastructure**: UUID factory, memory guard, GL account constants
## Key Components
### Domain Models (`models/`)
| `journal_entry.rs` | Journal entry header and balanced line items |
| `chart_of_accounts.rs` | Hierarchical GL accounts with account types |
| `master_data.rs` | Enhanced vendors, customers with payment behavior |
| `documents.rs` | Purchase orders, invoices, goods receipts, payments |
| `temporal.rs` | Bi-temporal data model for audit trails |
| `anomaly.rs` | Anomaly types and labels for ML training |
| `internal_control.rs` | SOX 404 control definitions |
### Enterprise Process Chain Models (v0.6.0)
| `sourcing/` | SourcingProject, RfxEvent, SupplierBid, ProcurementContract, CatalogItem and related procurement models |
| `bank_reconciliation.rs` | Bank reconciliation statements and matching rules |
| `financial_statements.rs` | Income statement, balance sheet, cash flow statement models |
| `payroll.rs` | Payroll runs, pay stubs, deductions, tax withholdings |
| `time_entry.rs` | Time tracking entries, approval workflows |
| `expense_report.rs` | Expense reports, line items, receipt matching |
| `production_order.rs` | Manufacturing production orders and operations |
| `quality_inspection.rs` | Quality inspection lots, results, defect codes |
| `cycle_count.rs` | Inventory cycle count programs and variances |
| `sales_quote.rs` | Sales quotations and quote-to-order conversion |
| `management_kpi.rs` | Management KPIs and scorecard metrics |
| `budget.rs` | Budget plans, line items, variance analysis |
### UUID Factory Extensions (v0.6.0)
The UUID factory (`uuid_factory.rs`) has been extended with 18 new `GeneratorType` discriminators (0x28-0x39) covering sourcing, HR, manufacturing, financial reporting, and sales/KPI/budget entities. This ensures collision-free deterministic UUID generation across all new model types.
### Statistical Distributions (`distributions/`)
| `LineItemSampler` | Empirical distribution (60.68% two-line, 88% even counts) |
| `AmountSampler` | Log-normal with round-number bias, Benford compliance |
| `TemporalSampler` | Seasonality patterns with industry integration |
| `BenfordSampler` | First-digit distribution following P(d) = log10(1 + 1/d) |
### Infrastructure
| `uuid_factory.rs` | Deterministic FNV-1a hash-based UUID generation |
| `memory_guard.rs` | Cross-platform memory tracking with soft/hard limits |
| `accounts.rs` | Centralized GL control account numbers |
| `templates/` | YAML/JSON template loading and merging |
## Usage
```rust
use datasynth_core::models::{JournalEntry, JournalEntryLine};
use datasynth_core::distributions::AmountSampler;
// Create a balanced journal entry
let mut entry = JournalEntry::new(header);
entry.add_line(JournalEntryLine::debit("1100", amount, "AR Invoice"));
entry.add_line(JournalEntryLine::credit("4000", amount, "Revenue"));
// Sample realistic amounts
let sampler = AmountSampler::new(seed);
let amount = sampler.sample_benford_compliant(1000.0, 100000.0);
```
## License
Apache-2.0 - See [LICENSE](../../LICENSE) for details.