cross-chain-pmm-lps/scripts

Scripts

size-inventory.cjs

Regenerates I_T^* (inventory target) and suggested D_0 per chain per cW token from config/simulation-params.json. Output includes assumptions (σ, T_refill/T_epoch, β, γ). Keeps configs honest and PRs reviewable.

Run from repo root (cross-chain-pmm-lps):

node scripts/size-inventory.cjs

Options:

• --sigma 1.8 — override USD stress multiplier (default 1.5)
• --refill-ratio 0.33 — T_refill / T_epoch (default 0.33)
• --depth-mult 0.75 — D_0 = depth_mult * I_T^* (default 0.75)
• --v-epoch '{"1":100000,"56":80000,"137":60000}' — per-chain V_epoch (JSON object)

Environment: V_EPOCH_<chainId> overrides V_epoch for that chain (e.g. V_EPOCH_1=100000).

Output: JSON with assumptions and per-chain per-token I_T_star, D_0, V_epoch, sigma, beta, gamma, and EUR stress flag where applicable.

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validate-deployment-status.cjs

Validates config/deployment-status.json for minimum viable deployed graph. Use in CI so deployment-realistic sim cannot run with half-filled state.

Rules:

• If bridgeAvailable === true on a chain, cwTokens must include at least cWUSDT and cWUSDC (phase 1).
• For each pmmPool: role ∈ {defense, public_routing}; feeBps and k present; base/quote (or tokenIn/tokenOut) exist in cwTokens or anchorAddresses.

Run:

node scripts/validate-deployment-status.cjs

Exit code: 0 if valid, 1 if invalid (errors to stderr).

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run-scenario.cjs

Builds the real routing graph from configs, runs epochs with PMM state updates, path enumeration + waterfilling, arb step (implied-price deviation, capped corrective trades, profit gate), bot step (inject/withdraw at 0.5×/1.5× I_T^* with intervention cost β/γ/ρ), and optional bridge shock trades. Emits a real scorecard (PR#2). Runs are deterministic when scenario.seed is set or derived from scenario name.

Configs used: simulation-params.json, token-map.json, routing-controls.json; deployment-status.json only when graphMode = deployed. Pool topology from pool-matrix.json and scenario topology / fullQuoteChains.

Tuning constants (in script):

Constant	Value	Purpose
PROBE_SIZE	1000	Units for path cost probe (k-shortest by cost)
K_PATHS	5	Max candidate paths per trade for waterfilling
CHUNK_FRACTION	0.05	5% of trade per chunk; marginal-equalization step size
AMM_DEPTH_UNITS	10e6	Background AMM depth (notional; infinite-depth approx in code)
AMM_FEE_BPS	5	Fee for anchor↔anchor stable swaps

Run:

node scripts/run-scenario.cjs hub_only_11
node scripts/run-scenario.cjs --scenario full_quote_1_56_137
node scripts/run-scenario.cjs bridge_shock_137_56

Output: JSON scorecard including: capture_mean, churn_mean, drain_half_life_epochs, path_concentration_index; intervention_cost_total / intervention_cost_inject_total / intervention_cost_withdraw_total / intervention_cost_by_chain / intervention_cost_per_1M_volume; peak_deviation_bps (post-arb), peak_deviation_bps_pre_arb, peak_deviation_bps_post_arb, peak_deviation_bps_post_bot; arb_volume_total, arb_profit_total (execution-based, not mid). See docs/12-sim-scorecard.md and config/scorecard-schema.json.

Orderflow: Trade sizes use distribution: "uniform" by default. Scenario schema supports lognormal / pareto for skewed (many small + occasional whale) flows; implement in sampleTrade() when needed.