target-revenue/workplans/TREV-WP-0010-development-effort-calculator.md

id	type	title	domain	repo	status	owner	topic_slug	created	updated	state_hub_workstream_id
TREV-WP-0010	workplan	Development Effort Calculator	infotech	target-revenue	active	claude	infotech	2026-07-30	2026-07-30	2cabf156-dbdf-4e46-a213-fb76800702df

Development Effort Calculator

Turns measurable repo activity (human interaction time, workplan/task volume, file/line complexity, AI token cost) into target_basis values (specs/PhaseManifestSpecification.md), which combined with a human Target Multiple classification (10x/100x/1000x) produces a proposed Initial Target via the framework's own existing formula (specs/TargetRevenueFrameworkCore.md §1.4) — not a new formula. This calculator is a value-input tool feeding that existing formula, not a competing valuation methodology.

Split from the former combined TREV-WP-0009-control-plane-and-effort-calculator.md (2026-07-30) — this deliverable has its own formula decision and implementation arc, independent of the Target Revenue Control Plane (workplans/TREV-WP-0009-target-revenue-control-plane.md), even though the Control Plane's Phase-registration flow is expected to consume this calculator's output once both exist.

Does not include: declaring any real Phase for any repo, or choosing a repo's Target Multiple classification unilaterally — per specs/DevelopmentEffortCalculatorConcept.md §4, that classification remains a human judgment call the calculator can inform but not make.

Concept: specs/DevelopmentEffortCalculatorConcept.md.

Formula decision (human gate)

id: TREV-WP-0010-T01
status: done
priority: high
human_accept_required: true
human_accepted_by: Bernd
human_accepted_at: "2026-07-30"
state_hub_task_id: "a3e1acbf-8659-4745-b595-ba8c2728f3b5"

specs/DevelopmentEffortCalculatorConcept.md §3 presents two combination strategies without choosing between them:

• Candidate A (labor-cost-anchored, recommended v0 default) — human time drives estimated_effort_days/daily_rate directly; AI token cost becomes approved_direct_costs (a real, metered direct cost); workplan/task-volume and repo-size metrics are a sanity check/adjustment on the human-time estimate, not a separate dollar figure.
• Candidate B (composite-index-anchored) — all four metric families scored into one weighted complexity index, converted to dollars via a declared $-per-unit rate.

Confirm one as the adopted v0 approach (or propose a refinement), per the same human-gate pattern already used for the degeneration policy formula (workplans/TREV-WP-0007-degeneration-policy-and-canonical-profiles.md T02). Agents may prepare a recommendation and leave this todo.

Accepted 2026-07-30 by the maintainer (Bernd): Candidate A (labor-cost-anchored) confirmed as the adopted v0 formula. estimated_effort_days and daily_rate are driven directly by commit-clustered human interaction time; AI token cost (get_token_summary) becomes approved_direct_costs; workplan/task- volume and file/line-size metrics serve only as a sanity check/adjustment on the human-time estimate, never their own dollar figure; the Target Multiple remains a human classification, not computed. T02 implements this formula, not Candidate B or a hybrid.

Implement the calculator

id: TREV-WP-0010-T02
status: done
priority: high
state_hub_task_id: "b5fb46ea-b737-495f-82b8-5e10f0032cb5"

Using T01's confirmed formula, implement data collection for each metric family and the combination formula itself, producing target_basis field values ready to drop into a Phase Manifest:

• Human interaction time — v0 default: commit-timestamp clustering (session-gap grouping over git history), explicitly a floor estimate, not a true count (concept §2a).
• Workplan/task volume — counts via state hub list_tasks/ list_workplans scoped to the repo, or direct workplans/ directory inspection where hub coverage is thin (concept §2b).
• File/line complexity — raw counts with generated/vendored-path exclusion (concept §2c's flagged distortion: dependency trees, lockfiles, and generated files must not inflate this signal).
• AI token cost — get_token_summary(scope="repo", id=...), the strongest, least speculative input since it is a real metered cost, not a proxy (concept §2d).

Output must show its work (which inputs produced which numbers) — a black-box dollar figure with no visible derivation would undermine the "transparent, non-gameable" goal (specs/TargetRevenueLicenseConcept.md §4.6) this whole framework is built around.

Result: src/target_revenue/effort_calculator.py implemented, pure/ offline (no network or state-hub dependency — list_tasks/list_workplans was superseded by direct workplans/ directory parsing so the module works uniformly on any repo using this repo's own workplan convention, without requiring hub connectivity). cluster_commit_hours() does session-gap clustering over git log --all --format=%at, with a 15-minute floor for single-commit sessions. workplan_task_counts() parses frontmatter status: fields and this repo's triple-backtick task-block convention. repo_size_metrics() excludes generated/vendored path components (node_modules, .venv, __pycache__, etc.). token_cost_usd() takes caller-supplied token counts (e.g. from get_token_summary) rather than fetching them itself. estimate_target_basis() combines these per Candidate A and returns a TargetBasisEstimate with a derivation dict (showing every input value) and a warnings list.

1-day manual-work floor, as requested: any raw commit-clustered estimate below MANUAL_EFFORT_FLOOR_DAYS = 1.0 is floored to 1.0 day (never reported smaller) and flagged with an explicit warning explaining this is very likely a measurement gap — commit-clustering is a floor estimate by design — and should usually be compensated for by a manual override rather than trusted at face value. A second, independent sanity-check warning fires when a repo's finished-workplan/task volume is substantial but the raw time estimate is still low, catching the case where the floor itself wasn't triggered but the estimate still looks implausible (demonstrated live: running the calculator against target-revenue's own history — 7 finished workplans, 57 finished tasks — correctly flagged its 2.38-day raw estimate as under-counted, above the 1-day floor but still clearly too low for that much finished work).

scripts/effort_calculator_cli.py — a CLI wrapper printing the estimate as JSON, following the same offline-first, no-Phase-declaration pattern as scripts/trf_onboard.py. tests/test_effort_calculator.py (15 tests, deterministic — builds throwaway git repos and directory fixtures under tmp_path rather than depending on any real repo's changing state) covers commit clustering (empty/single-commit/multi-session), workplan/ task parsing, size-metric exclusion, token-cost pricing, the floor-and- warning behavior, the independent sanity-check warning, and an end-to-end smoke test. Full suite: 79 passing offline (64 + 15 new), no new hard dependency (stdlib + existing pathlib/subprocess/re only).

Apply calculator to real candidate repos

id: TREV-WP-0010-T03
status: todo
priority: medium
state_hub_task_id: "74a3db97-1b66-4514-895a-bb9c385008aa"

Once T02 is implemented, run it against the real candidates already identified (specs/PilotPhaseCandidateSurvey.md: net-kingdom's NK-WP-0002, railiance-apps's vergabe-teilnahme, and info-tech-canon's service surface) to produce proposed, calculator-derived target_basis values, replacing the hand-picked illustrative figures currently in examples/pilot-candidates/*/manifest.json. This remains draft/non-binding — updating a draft manifest's numbers is not a Phase declaration, and does not touch workplans/TREV-WP-0008-governance-and-pilot-rollout.md T05's own gate.