Architecture ============ Module map (see ``planning/v0.1.0a1-plan.md`` for the phase scope): - ``fresh_daugherty.instance.thesis`` — the transcribed Daugherty (1991) case-study reference data (Tables 5.1-5.5, horizon, objective), the anchors the reconstruction is calibrated against. - ``fresh_daugherty.instance.reconstruct`` — the documented reconstruction of the case-study yield/economics model (Chapman-Richards yield + Faustmann PNV, 4% discount, price escalation), calibrated to the thesis anchors and grounded in the Umpqua LRMP CMAI culmination ages. - ``fresh_daugherty.instance.landbases`` — the 18 initial forest conditions (Table 5.5) as public-safe area datasets. - ``fresh_daugherty.model`` — build the case-study as a ws3 ``ForestModel`` (Model I) from the reconstruction (Woodstock sections + bootstrap + optimization prep). - ``fresh_daugherty.lp`` — the open-loop NPV-max harvest-scheduling LP (even-flow or target-flow harvest policy). - ``fresh_daugherty.replan`` — the sequential-replanning simulator and the inconsistency metrics (the dynamic-inconsistency measurement). - ``fresh_daugherty.experiments`` — the experiment runner sweeping landbases x discount rates x harvest-flow policies (occurrence/magnitude table). - ``fresh_daugherty.cli`` — thin CLI wrappers over the Python APIs. - ``fresh_daugherty.instance.discount`` — the E1 (P9) time-varying discount-rate path records (constant / linear / inverse-j families) and their per-period factor vectors; the constant family is bit-identical to the core scalar convention. Design invariants: - Reuse, never re-implement: the model is built on ws3 (``ForestModel``, LP machinery); ws3's Model II path is a deferred ws3 enhancement. - CLI commands are thin wrappers over Python APIs. - Typed records at boundaries; the inner problem stays linear (continuous LP). - Provenance on every input, formulation, reconstruction assumption, seed, and result. - The scanned thesis is never committed (archival, not redistributable); all tests use the public-safe reconstructed fixtures.