- puga/network.py + tools/network.py: model a multi-base chain (e.g. mine LST at one base, ship it, consume it at another). Simulates each base independently, nets a transferred material's producer-surplus against consumer-need, charges real freight only on what's moved, cm_free for a founding covered by a Core Module Kit. Worked example in plans/chains/. - puga/saturation.py: real price-band filtering. FIO's order_book NarrowPriceBandLow/High and WidePriceBandLow/High match APEX's own displayed Price Band exactly (verified live) - an order outside it is a stale artifact, not just uncompetitive. Added in_band() and effective_demand(); effective_supply() gained the same hard band filter alongside its existing soft vwap-proximity filter (renamed that param mult to free up `band`). Wired into tools/scan.py stage 2 in place of the raw, unfiltered demand figure. Was flagged as an unimplemented refinement in saturation-design.md since the original design review. - tools/sell.py: self-contained tranche split (aggressive tranche capped at a volume quantile, median normally or 80th pct with --tight when a payment is imminent and stockout risk outweighs margin; patient tranche priced under the next competitor tier). Instant-bid comparison moved behind --show-bid (off by default). - Docs and roadmap updated accordingly. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
4.4 KiB
Roadmap
Legend: [ ] todo, [x] done. Build order matters; each step is usable on its own.
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Repo skeleton, git (master), venv, CLAUDE.md, mechanics from PRUNplanner.
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puga/fio.py: cached FIO client (TTL per endpoint, keys from.env), pluspuga/prunplanner.pyforapi.prunplanner.org/data/*. Inspect whatexchanges/adds (VWAP?) vs FIO/exchange/all. -
(price + book tools done; cxpc trend history not needed, PRUNplanner has vwap7/30)
puga/market.py+tools/price.py,tools/book.py: prices across all CX, trends from cxpc, order-book walk for real fill price at quantity N. -
puga/econ.py(22 tests pass, expected values from PRUNplanner's suite): efficiency stack, workforce consumption, hab LP, extraction (port the formulas fromdocs/mechanics.md, with tests against PRUNplanner values). -
(v1 done; see saturation-design.md for refinements)
tools/scan.py(replaces prun_scan.py): depth-aware ROI. Per recipe report: buildings the market can absorb (output demand + traded volume, input supply), ROI at fill price for N buildings, absorbable profit/day. Filter--min-buildings. Both CX-local and universe. 5b. [ ]tools/arb.py(replaces prun_cxarb.py): inter-CX arbitrage onmarket.walkat real fill size; capital required, fuel/shipping cost from state, profit per trip within cash. Reason: old script uses top-of-book spread x min(supply,demand); on 2 of 4 top hits it overstated profit 7 to 11x (WAI, SCN). -
tools/chain.py: full bill of materials, make-vs-buy per node. -
tools/whatif.py: marginal ROI of adding a building to the actual state (usesstate/company.yaml, efficiency stack, imports). -
tools/planet.py,tools/found.py: rank planets for a resource; founding cost including environment extras. 13b. [x]puga/network.py+tools/network.py: multi-base chain modelling (per-base simulate, net transfers against real freight,cm_freefor kits). Worked example:plans/chains/nike_deimos_lst.yaml(Nike LST -> Deimos PP2/BSE). Known gap: reports whole-plan profit per base, not the marginal addition; caller must diff manually. -
tools/route.py,tools/haul.py: jump graph, fuel, profit per trip. 9b. [x] (dry-run default, --apply after user yes)tools/plan_push.py: create/update[PuGa]plans in PRUNplanner from YAML (Api-Key auth; see decisions.md for guardrails). -
tools/state.py sync(sites, production efficiency, storage, ships, cash, permits): inventory, production, ships intostate/. -
Docs to fill:
docs/apex.md,docs/fio.md,docs/playbook.md(question type -> tool),docs/decisions.md. -
tools/buy.py: cash-aware shopping list (construction gap vs empire state's built count, plus N days of net operating stock via simulate(), priced at real fill cost, checked against cash/reserve). -
tools/sell.py: ask-post-price + expected-clear-time advisor from 30d traded-volume percentiles, vs hitting the bids now. -
tools/portfolio.py: choose the set of 1-building opportunities for one base that maximises total profit given shared whole-building housing (HB1/HB2/...), capex, permits and (for demolish-later) 60-day value decay. Persistence check exists (tools/persistence.py); wire it into the ranking.
Open questions
- PRUNplanner auth is known (
Authorization: Api-Key <key>). FIO REST and FIO API are separate services with separate keys (separate services with separate keys; an earlier "one API" reading was wrong). Keys are in.env. Verified 2026-09-18: FIO_REST_KEY works on rest.fnar.net asAuthorization: <key>(own /sites, /storage etc. readable); FIO_API_KEY gives 401 there, host unknown. PRUNplanner key works (plans 0, empires 1, cx prefs 1 on his account). Still unknown: the OpenAPI spec at https://doc.fnar.net/api.json has no securitySchemes. Probe with read-only calls. - (resolved) PRUNplanner
exchanges/has vwap_daily/7d/30d and traded volume; merged intopuga/market.py. Trend history via cxpc still todo. - Extraction: concentration to daily rate formula.
- (resolved 2026-09-25) Real price-band filtering (
NarrowPriceBandLow/High,WidePriceBandLow/High) implemented inpuga/saturation.py(in_band,effective_demand,effective_supplyband param) and wired intotools/scan.pystage 2. Was flagged as an unimplemented refinement in saturation-design.md since day one; the player noticed a stale out-of-band bid in a live screenshot and asked the right question.