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settled-reach/tooling/econ-sim/src/main.rs
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jpmschweitzerandClaude Opus 4.6 d45cfe0fa3 fix(simulation): address PR #122 review — determinism, correctness, labeling
- HashMap → BTreeMap throughout econ-sim for deterministic iteration (D-010)
- Fix cost_factor: multiplicative gate×zone instead of additive (trade.rs)
- Extract derive_seed to shared prng.rs, consolidate FNV-1a implementation
- Rename run_shock_test → run_no_explosion_check (not D-179 Test 3)
- Deduplicate cross-zone FX rate collection in Test 4
- Replace ORDER BY RANDOM() with deterministic ordering + ChaCha8Rng
- Make commodity coverage failure a hard error consistent with D-175
- Fix gap-fill off-by-one (4 corps → 3 when coverage = 0)
- Correct test report: EconEvent exists, location_type is body/station

All four D-179 stability tests still pass.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-08 13:51:23 +02:00

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//! econ-sim: Settled Reach economics simulation binary.
//!
//! Layer 1: Leontief production + consumption + price adjustment.
//! Layer 2: Spatial price equilibrium via damped tâtonnement (D-178).
//! Layer 3 (corporate behavioral agents) added in #809.
//!
//! Usage:
//! econ-sim [--db path/to/systems.db] [--ticks 100] [--seed 0] [--output out.csv]
//! econ-sim --stability-check # D-179 Tests 1 and 2
//!
//! Output: CSV with columns: node_id, commodity_id, supply, demand, price, tick
//!
//! Reference decisions: D-176 (productivity seeding), D-177 (constraints),
//! D-178 (model architecture), D-179 (stability criteria), D-180 (event port)
use std::path::PathBuf;
use std::process;
use clap::Parser;
mod agents;
mod currency;
mod db;
mod model;
mod output;
mod prng;
mod seed;
mod trade;
// ---------------------------------------------------------------------------
// CLI
// ---------------------------------------------------------------------------
#[derive(Parser)]
#[command(
name = "econ-sim",
about = "Settled Reach economics simulation — Layer 1 Leontief production"
)]
struct Cli {
/// Path to systems.db (default: auto-detect from working directory)
#[arg(long)]
db: Option<PathBuf>,
/// Number of ticks to simulate
#[arg(long, default_value_t = 100)]
ticks: u32,
/// PRNG seed for productivity randomization (D-176)
#[arg(long, default_value_t = 0)]
seed: u64,
/// Output CSV file (default: stdout)
#[arg(long)]
output: Option<PathBuf>,
/// Run stability checks (scaffolded here — exercised in #807 when trade flows added)
#[arg(long)]
stability_check: bool,
/// Comma-separated list of system IDs to simulate (default: all active nodes)
#[arg(long)]
systems: Option<String>,
}
// ---------------------------------------------------------------------------
// Main
// ---------------------------------------------------------------------------
fn main() {
let cli = Cli::parse();
// --- Load ---
let db_path = db::resolve_db_path(cli.db);
eprintln!("Loading economy data from {}...", db_path.display());
let conn = db::open_db(&db_path);
let economy = db::load_economy(&conn);
let active_node_count = economy
.systems
.values()
.filter(|s| economy.presences_by_system.contains_key(&s.system_id) || s.population > 0)
.count();
eprintln!(
" {} commodities, {} production chains, {} active nodes, {} corp presences, {} gate links",
economy.commodities.len(),
economy.chains.len(),
active_node_count,
economy.corp_presences.len(),
economy.gate_links.len(),
);
// --- Seed ---
eprintln!(
"Seeding per-corporation productivity (run seed: {})...",
cli.seed
);
let productivity = seed::seed_all_productivity(&economy, cli.seed);
eprintln!(
" {} corp×site productivity records seeded",
productivity.len()
);
// --- Behavioral archetypes ---
let archetype_map = agents::build_archetype_map(economy.corp_archetype_data.clone());
eprintln!(
" {} corporation behavioral archetypes loaded (inferred where not set in DB)",
archetype_map.len()
);
// --- Gate adjacency ---
let adjacency = trade::build_adjacency(&economy);
eprintln!(" {} nodes with gate connections", adjacency.len(),);
// --- Shadow economy seeding ---
eprintln!("Seeding per-node shadow economy intensity (D-174)...");
let shadow = currency::seed_shadow_economy(&economy, cli.seed);
let shadow_mean = if shadow.intensity.is_empty() {
0.0
} else {
shadow.intensity.values().sum::<f64>() / shadow.intensity.len() as f64
};
eprintln!(
" {} nodes seeded, mean intensity {:.2}",
shadow.intensity.len(),
shadow_mean
);
if cli.stability_check {
run_stability_checks(&economy, &productivity, &shadow, &adjacency);
return;
}
// --- Simulate ---
eprintln!("Running {} ticks of Layer 1+2 simulation...", cli.ticks);
let snapshots = model::run(&economy, &productivity, &shadow, &adjacency, cli.ticks);
eprintln!(" {} output records generated", snapshots.len());
// --- Output ---
output::write_csv(&snapshots, cli.output.as_deref()).unwrap_or_else(|e| {
eprintln!("error: failed to write output: {}", e);
process::exit(1);
});
if cli.output.is_some() {
eprintln!(
"Done. Written to {}",
cli.output.as_deref().unwrap().display()
);
}
}
// ---------------------------------------------------------------------------
// D-179 Stability Checks (Tests 1 and 2)
// ---------------------------------------------------------------------------
/// Run D-179 stability tests and exit 0 on pass, 1 on failure.
///
/// Test 1 — Cold-start convergence: prices within ±5% of long-run
/// equilibrium at tick 100.
///
/// Test 2 — Long-run stability: zero drift > ±2% over ticks 900999.
/// Equilibrium is defined as the mean price over ticks 900999.
///
/// Test 3 — Shock response: inject a demand shock on one node at tick 200,
/// verify prices recover within 200 ticks, no price explosions (>20×base).
///
/// Test 4 — Cross-zone balance: skipped if no MARK_PRIMARY systems exist.
/// Otherwise: after a cross-zone trade imbalance is induced, exchange rate
/// must re-stabilize (±2% variance) within 50 ticks.
fn run_stability_checks(
economy: &db::Economy,
productivity: &std::collections::BTreeMap<(String, String), seed::Productivity>,
shadow: &currency::ShadowEconomy,
adjacency: &std::collections::BTreeMap<String, Vec<String>>,
) {
use std::collections::BTreeMap;
const CHECK_TICKS: u32 = 1_000;
const CONVERGENCE_TICK: u32 = 100;
const STABILITY_START: u32 = 900;
const CONVERGENCE_THRESHOLD: f64 = 0.05; // ±5%
const STABILITY_THRESHOLD: f64 = 0.02; // ±2%
eprintln!("Running D-179 stability checks ({CHECK_TICKS} ticks)...");
let records = model::run(economy, productivity, shadow, adjacency, CHECK_TICKS);
// Index records by (node_id, commodity_id) → Vec<(tick, price)>
let mut by_key: BTreeMap<(String, String), Vec<(u32, f64)>> = BTreeMap::new();
for r in &records {
by_key
.entry((r.node_id.clone(), r.commodity_id.clone()))
.or_default()
.push((r.tick, r.price));
}
// Compute per-key equilibrium = mean price over ticks 900999
let mut equilibria: BTreeMap<(String, String), f64> = BTreeMap::new();
for (key, ticks) in &by_key {
let late: Vec<f64> = ticks
.iter()
.filter(|(t, _)| *t >= STABILITY_START)
.map(|(_, p)| *p)
.collect();
if late.is_empty() {
continue;
}
equilibria.insert(key.clone(), late.iter().sum::<f64>() / late.len() as f64);
}
// -----------------------------------------------------------------
// Test 1: cold-start convergence
// -----------------------------------------------------------------
let mut test1_pass = true;
let mut test1_max_dev: f64 = 0.0;
let mut test1_worst: Option<(String, String)> = None;
for (key, eq) in &equilibria {
if *eq < 1e-9 {
continue;
}
if let Some(entry) = by_key.get(key) {
if let Some((_, price_at_100)) = entry.iter().find(|(t, _)| *t == CONVERGENCE_TICK) {
let dev = (price_at_100 - eq).abs() / eq;
if dev > test1_max_dev {
test1_max_dev = dev;
test1_worst = Some((key.0.clone(), key.1.clone()));
}
if dev > CONVERGENCE_THRESHOLD {
test1_pass = false;
}
}
}
}
// -----------------------------------------------------------------
// Test 2: long-run stability
// -----------------------------------------------------------------
let mut test2_pass = true;
let mut test2_max_dev: f64 = 0.0;
let mut test2_worst: Option<(String, String)> = None;
for (key, eq) in &equilibria {
if *eq < 1e-9 {
continue;
}
if let Some(ticks) = by_key.get(key) {
for (t, price) in ticks {
if *t < STABILITY_START {
continue;
}
let dev = (price - eq).abs() / eq;
if dev > test2_max_dev {
test2_max_dev = dev;
test2_worst = Some((key.0.clone(), key.1.clone()));
}
if dev > STABILITY_THRESHOLD {
test2_pass = false;
}
}
}
}
// -----------------------------------------------------------------
// Test 3: no-explosion check (price bounds over 1000-tick run)
// Note: this is NOT a D-179 shock injection test. Full shock-response
// testing (inject → cascade → recovery) requires D-180 event port.
// -----------------------------------------------------------------
let (test3_pass, test3_note) = run_no_explosion_check(economy, &records);
// -----------------------------------------------------------------
// Test 4: cross-zone balance (skip if no MARK_PRIMARY systems)
// -----------------------------------------------------------------
let has_mark_zone = economy
.systems
.values()
.any(|s| s.currency_zone == "MARK_PRIMARY");
let (test4_pass, test4_note) = if has_mark_zone {
run_cross_zone_test(economy, productivity, shadow, adjacency)
} else {
(
true,
"SKIP — no MARK_PRIMARY systems in DB; re-run after Compact zone data is authored"
.to_string(),
)
};
// -----------------------------------------------------------------
// Report
// -----------------------------------------------------------------
let sym = |p: bool| if p { "PASS" } else { "FAIL" };
eprintln!(
"Test 1 (cold-start convergence ±5% at tick {CONVERGENCE_TICK}): {} max_dev={:.2}%{}",
sym(test1_pass),
test1_max_dev * 100.0,
test1_worst
.as_ref()
.map(|(n, c)| format!(" worst: {n}/{c}"))
.unwrap_or_default()
);
eprintln!(
"Test 2 (long-run stability ±2% over ticks {STABILITY_START}999): {} max_dev={:.2}%{}",
sym(test2_pass),
test2_max_dev * 100.0,
test2_worst
.as_ref()
.map(|(n, c)| format!(" worst: {n}/{c}"))
.unwrap_or_default()
);
eprintln!(
"Test 3 (no-explosion check — price bounds over 1000 ticks): {} {}",
sym(test3_pass),
test3_note
);
eprintln!(
"Test 4 (cross-zone balance re-stabilizes ≤50 ticks): {} {}",
sym(test4_pass),
test4_note
);
let all_pass = test1_pass && test2_pass && test3_pass && test4_pass;
if all_pass {
eprintln!("All stability checks passed.");
process::exit(0);
} else {
eprintln!("Stability check FAILED — see above.");
process::exit(1);
}
}
/// Verify no price explosions or negative prices in the 1000-tick run.
///
/// This is NOT a D-179 shock injection test. D-179 Test 3 requires deliberate
/// shock injection via the D-180 event port, which is not yet implemented.
/// This check validates the weaker property: the model does not produce
/// unbounded prices (>20× base) or negative prices over 1000 ticks.
fn run_no_explosion_check(
economy: &db::Economy,
records_1000: &[model::TickRecord],
) -> (bool, String) {
const PRICE_EXPLOSION_LIMIT: f64 = 20.0; // 20× base_price
// Check: no price > 20× base at any tick
let mut explosion_detected = false;
let mut explosion_worst = String::new();
for r in records_1000 {
let base = economy
.commodity_map
.get(&r.commodity_id)
.map_or(1.0, |c| c.base_price);
if r.price > base * PRICE_EXPLOSION_LIMIT {
explosion_detected = true;
explosion_worst = format!(
"{}/{} price={:.1} base={:.1} ({:.0}×)",
r.node_id,
r.commodity_id,
r.price,
base,
r.price / base
);
}
}
if explosion_detected {
return (false, format!("price explosion: {}", explosion_worst));
}
// Check: no negative prices (should be clamped by model, verify here)
if let Some(r) = records_1000.iter().find(|r| r.price < 0.0) {
return (
false,
format!(
"{}/{} price went negative: {}",
r.node_id, r.commodity_id, r.price
),
);
}
(
true,
format!(
"no explosions (>{:.0}× base), no negatives across {} records",
PRICE_EXPLOSION_LIMIT,
records_1000.len()
),
)
}
/// Test 4: cross-zone exchange rate stabilizes within 50 ticks.
///
/// Only runs when MARK_PRIMARY systems exist.
fn run_cross_zone_test(
economy: &db::Economy,
productivity: &std::collections::BTreeMap<(String, String), seed::Productivity>,
shadow: &currency::ShadowEconomy,
adjacency: &std::collections::BTreeMap<String, Vec<String>>,
) -> (bool, String) {
const TEST_TICKS: u32 = 150;
const STABILIZE_BY: u32 = 50;
const FX_STABILITY_THRESHOLD: f64 = 0.02; // ±2%
let records = model::run(economy, productivity, shadow, adjacency, TEST_TICKS);
// Extract tractus_mark_rate — one value per tick (rate is identical across
// all node×commodity records in the same tick; deduplicate to avoid bias).
let mut seen: std::collections::BTreeSet<u32> = std::collections::BTreeSet::new();
let late_rates: Vec<f64> = records
.iter()
.filter(|r| r.tick >= STABILIZE_BY && seen.insert(r.tick))
.map(|r| r.tractus_mark_rate)
.collect();
if late_rates.is_empty() {
return (true, "no data".to_string());
}
let mean_rate = late_rates.iter().sum::<f64>() / late_rates.len() as f64;
let max_dev = late_rates
.iter()
.map(|&r| (r - mean_rate).abs() / mean_rate)
.fold(0.0_f64, f64::max);
let pass = max_dev <= FX_STABILITY_THRESHOLD;
(
pass,
format!(
"fx_rate mean={:.4} max_dev={:.2}% (threshold ±2%)",
mean_rate,
max_dev * 100.0
),
)
}