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Register route/whatif/chain-consumers/planet in CLAUDE.md and roadmap

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Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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dodox
2026-10-08 10:42:27 +02:00
co-authored by Claude Sonnet 5
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commit 3f8cc91da9
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CLAUDE.md
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@@ -45,8 +45,11 @@ Run as `puga <tool> ...` (e.g. `puga scan --min-n 3`, `puga plan pull <uuid>`);
- `tools/buy.py <spec.yaml|--uuid U> --days N` cash-aware shopping list: construction gap (plan vs empire state's built buildings) plus N days of the plan's NET operating stock (via `simulate()`, so self-produced inputs like AL net against consumption), priced at real fill cost, checked against cash/reserve. Pass a plan covering the WHOLE base for restocking, not just a new addition (see `docs/library.md`). - `tools/buy.py <spec.yaml|--uuid U> --days N` cash-aware shopping list: construction gap (plan vs empire state's built buildings) plus N days of the plan's NET operating stock (via `simulate()`, so self-produced inputs like AL net against consumption), priced at real fill cost, checked against cash/reserve. Pass a plan covering the WHOLE base for restocking, not just a new addition (see `docs/library.md`).
- `tools/sell.py TICKER QTY [--tight]` where to post an ask, expected hours to clear, and a self-contained tranche split: aggressive (undercut) tranche capped at the median 30d-volume quantile (or 80th pct with `--tight`, for when a payment is imminent and stockout risk outweighs a few points of margin), patient tranche priced just under the next competitor tier. `--show-bid` for the instant-bid comparison (off by default; usually worse). - `tools/sell.py TICKER QTY [--tight]` where to post an ask, expected hours to clear, and a self-contained tranche split: aggressive (undercut) tranche capped at the median 30d-volume quantile (or 80th pct with `--tight`, for when a payment is imminent and stockout risk outweighs a few points of margin), patient tranche priced just under the next competitor tier. `--show-bid` for the instant-bid comparison (off by default; usually worse).
- `tools/network.py <chain.yaml>` models a MULTI-BASE chain (e.g. mine LST at Nike, ship it, make BSE at Deimos): simulates each base, nets a transferred material's producer-surplus against consumer-need, charges real freight only on what's moved (`puga/network.py`). Spec and worked example in `plans/chains/`. `cm_free: true` per base for a new founding covered by a Core Module Kit. profit/day per base is the WHOLE plan, not the marginal addition - diff against the base's plan without the addition for a true marginal ROI. - `tools/network.py <chain.yaml>` models a MULTI-BASE chain (e.g. mine LST at Nike, ship it, make BSE at Deimos): simulates each base, nets a transferred material's producer-surplus against consumer-need, charges real freight only on what's moved (`puga/network.py`). Spec and worked example in `plans/chains/`. `cm_free: true` per base for a new founding covered by a Core Module Kit. profit/day per base is the WHOLE plan, not the marginal addition - diff against the base's plan without the addition for a true marginal ROI.
- `tools/whatif.py <before.yaml> [--add BUILDING:AMOUNT[:RECIPE]] [--infra HB1:+1] [--after after.yaml]` marginal ROI of adding to a base you already run (whole-plan diff, same rule as buy/runway - pass the WHOLE base, not just the addition). `--add` mutates a copy of `before` in-memory (reuses an existing building's recipe if omitted, e.g. `--add POL:1`); `--after` takes a second full spec instead. Flags any workforce tier the addition newly overloads (vs. a pre-existing one, which it won't flag) - this is what caught the PP2/pioneer-housing and 2nd-CHP/pioneer-housing surprises by hand before this tool existed.
- `tools/runway.py <spec.yaml|--uuid U> [--no-inbound]` days of runway per material before a base stalls: real NET consumption via `simulate()` (self-produced inputs excluded), base storage, PLUS (by default) any ship currently flying to that planet, auto-detected from live flight data (`tools/state.py` tags each ship with its flight origin/destination). Pass the WHOLE base plan (see `docs/library.md`). - `tools/runway.py <spec.yaml|--uuid U> [--no-inbound]` days of runway per material before a base stalls: real NET consumption via `simulate()` (self-produced inputs excluded), base storage, PLUS (by default) any ship currently flying to that planet, auto-detected from live flight data (`tools/state.py` tags each ship with its flight origin/destination). Pass the WHOLE base plan (see `docs/library.md`).
- `tools/chain.py TICKER` make-vs-buy cost tree plus sourcing depth of inputs. - `tools/chain.py TICKER` make-vs-buy cost tree plus sourcing depth of inputs. `--consumers` flips it: what recipes EAT this ticker as an input, with each output's market depth - for "is there a deeper downstream product worth chaining into" questions (e.g. checking BOR/BSE/BBH for further processing).
- `tools/planet.py RESOURCE [--min-factor X] [--from PLANET] [--top N]` ranks planets for a raw resource by extraction factor, with founding cost straight from FIO's own `BuildRequirements` (real environment-extras materials, not guessed temperature/pressure thresholds - PRUNplanner's own calculations don't model those either) and optional jump distance via `tools/route.py`. Pure-factor ranking alone is misleading - the best-factor planets are often thousands of ly away; always pass `--from` an existing base. Library: `puga/planet.py`.
- `tools/route.py <from planet/system> <to planet/system>` jump-distance route (not a PRUNplanner feature - built from FIO's `/systemstars` graph, Dijkstra by straight-line ly since that's what FTL fuel/time scale with, jump count reported alongside). Accepts planet natural IDs, system natural IDs, or names. Library: `puga/route.py`.
- `tools/price.py` prices across exchanges with VWAP, volume, fill price for a quantity; `tools/book.py` order-book ladder. - `tools/price.py` prices across exchanges with VWAP, volume, fill price for a quantity; `tools/book.py` order-book ladder.
- `tools/prun_scan.py`, `tools/prun_cxarb.py` legacy top-of-book scans; overstate thin markets. Baseline only. `tools/arb.py` replacement is on the roadmap. - `tools/prun_scan.py`, `tools/prun_cxarb.py` legacy top-of-book scans; overstate thin markets. Baseline only. `tools/arb.py` replacement is on the roadmap.
- `puga/econ.py` pure formulas ported from PRUNplanner (efficiency stack, workforce, extraction, production I/O, hab optimizer); `tests/test_econ.py` holds the reference values. - `puga/econ.py` pure formulas ported from PRUNplanner (efficiency stack, workforce, extraction, production I/O, hab optimizer); `tests/test_econ.py` holds the reference values.
docs/roadmap.md
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@@ -9,10 +9,10 @@ Legend: [ ] todo, [x] done. Build order matters; each step is usable on its own.
5. [x] (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. 5. [x] (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 on `market.walk` at 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). 5b. [ ] `tools/arb.py` (replaces prun_cxarb.py): inter-CX arbitrage on `market.walk` at 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).
6. [x] `tools/chain.py`: full bill of materials, make-vs-buy per node. 6. [x] `tools/chain.py`: full bill of materials, make-vs-buy per node.
7. [ ] `tools/whatif.py`: marginal ROI of adding a building to the actual state (uses `state/company.yaml`, efficiency stack, imports). 7. [x] `tools/whatif.py`: marginal ROI of adding a building to a base you already run (whole-plan diff via `simulate()`, built dict from `state/company.yaml`; flags newly-caused workforce overloads).
8. [ ] `tools/planet.py`, `tools/found.py`: rank planets for a resource; founding cost including environment extras. 8. [x] `tools/planet.py`: rank planets for a resource (FIO bulk `Resources`/`BuildRequirements` data), founding cost from real environment-extras materials, jump distance via `tools/route.py`. `tools/found.py` (full founding workflow/writeback) still todo.
13b. [x] `puga/network.py` + `tools/network.py`: multi-base chain modelling (per-base simulate, net transfers against real freight, `cm_free` for 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. 13b. [x] `puga/network.py` + `tools/network.py`: multi-base chain modelling (per-base simulate, net transfers against real freight, `cm_free` for 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.
9. [ ] `tools/route.py`, `tools/haul.py`: jump graph, fuel, profit per trip. 9. [x] `tools/route.py`: jump graph (FIO `/systemstars`, Dijkstra by straight-line ly, jump count alongside). `tools/haul.py` (fuel cost, profit per trip) still todo.
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). 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).
10. [x] `tools/state.py sync` (sites, production efficiency, storage, ships, cash, permits): inventory, production, ships into `state/`. 10. [x] `tools/state.py sync` (sites, production efficiency, storage, ships, cash, permits): inventory, production, ships into `state/`.
11. [ ] Docs to fill: `docs/apex.md`, `docs/fio.md`, `docs/playbook.md` (question type -> tool), `docs/decisions.md`. 11. [ ] Docs to fill: `docs/apex.md`, `docs/fio.md`, `docs/playbook.md` (question type -> tool), `docs/decisions.md`.