src/target_revenue/effort_calculator.py implements Candidate A
(labor-cost-anchored, accepted T01): commit-timestamp session-gap
clustering for human interaction time, workplan/task-volume counts via
direct workplans/ directory parsing (no state-hub dependency, works
uniformly on any repo using this repo's own convention), file/line
counts with generated/vendored-path exclusion, and caller-supplied
token-cost pricing. estimate_target_basis() combines these and returns
a derivation dict (every input shown) plus a warnings list - never a
black-box dollar figure.
1-day manual-work floor, as requested: any raw commit-clustered
estimate below 1.0 day is floored and flagged with a warning that this
is very likely a measurement gap (commit-clustering is a floor
estimate by design) that should usually be compensated for by manual
override, not trusted at face value. A second, independent
sanity-check warning fires when finished-workplan/task volume is
substantial but the time estimate is still low, even above the floor -
demonstrated live against target-revenue's own history (7 finished
workplans, 57 tasks correctly flagged a 2.38-day estimate as
under-counted).
scripts/effort_calculator_cli.py: CLI wrapper printing JSON, following
the same offline-first, no-Phase-declaration pattern as
scripts/trf_onboard.py. tests/test_effort_calculator.py (15
deterministic tests, throwaway git repos/tmp_path fixtures) covers
commit clustering, workplan/task parsing, size-metric exclusion,
token-cost pricing, the floor-and-warning behavior, the sanity-check
warning, and an end-to-end smoke test. No new hard dependency.