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One file = one whole quote.",sections:{meta:"Identity, counts, and conventions for this dump.",raw:"Endpoint DTOs VERBATIM from the quoting backend â the inputs + audit trail. NOT formatted; may contain fields not surfaced in `derived`. Do not render from here unless a field is missing in `derived`.",derived:"Presentation-ready OUTPUTS â render these directly, no business logic needed downstream. See `derivedProvenance` for exactly how they are produced."},derivedProvenance:"Every `derived` number is produced by the SAME functions the Tornado UI renders from â SavingsUtils.calculateTotalSavings, ContributionUtils.mapInputCalculationsPerView, deriveEmployeeClass, getRecommendedPresetAccordingToPriorities â then key-renamed to this taxonomy. So `derived` MATCHES what the AE saw on screen; it is not a re-implementation. The fees-folding, Ã12 annualization, per-participant division, and savings thresholds are already applied. Formatting ($/% and â
1â) is intentionally left to you.",disambiguations:{rawVsDerived:"Some data appears in BOTH `raw` and `derived` (e.g. currentPlans, employeeBreakdown, allowanceCalculation). `raw` is the full untouched source; `derived` is the trimmed/computed view to render. Prefer `derived`; use `raw` only to audit or for a field not surfaced in derived.",twoSavingsNumbers:"There are TWO savings figures, both correct but computed DIFFERENTLY â do not conflate: (1) scenario COST-COMPARISON savings at `planComparison.scenarios[].savings` and `planDesigns[].costComparison.savings` = currentPlan monthly total â (scenario total incl. fees). (2) CONTRIBUTION savings inside `planDesigns[].contributionDistribution.employer.savingsAnnual` = (current employer â employer+fees) à 12.",contributionViews:"`contributionDistribution` has `employer` and `employee` views. The EMPLOYER view folds platform+payroll fees INTO `employerMonthly`; the EMPLOYEE view is PER-PARTICIPANT (÷ numParticipants). `*ChangePct` are vs the current plan; `employerSpendAnnual` is Ã12.",participation:'PARTICIPATION IS MIXED ACROSS BLOCKS, and this mirrors the Tornado UI exactly â it is not a dump artifact. An employee is "participating" if the CENSUS says so (is_participating = currentPremium IS NOT NULL when current coverage is available); it is derived data with NO AE-facing filter or toggle anywhere in the quoting UI. PARTICIPATING-SCOPED: `numParticipants` (a distinct count of participating employees), `totalFees` (= fixedPlatformFee + pepmFee x participating count, which then folds into contributionDistribution.employer.employerMonthly AND costComparison savings), and avgPremiums.avgChildCountParticipating. NOT participation-filtered: `employeeBreakdown.rows` (ALL employees â the query selects is_participating but the DTO drops it, so the dump can\'t mark which rows are which) and the allowanceGrid child multiplier. CONSEQUENCE: per-participant figures will NOT reconcile against a naive sum over employeeBreakdown.rows, and a row count is NOT numParticipants. Use numParticipants for per-employee math; do not derive it by counting rows.',twoChildCounts:"There are TWO \"average children\" figures, both real, over DIFFERENT populations â do not conflate (same trap as the two savings numbers): (1) `planDesigns[].avgPremiums.avgChildCountParticipating` is PARTICIPATING-scoped (is_participating = TRUE) and is what feeds `childrenAvgPremiumMonthly` and the contribution converters. (2) the multiplier that scales `allowanceGrid`'s FOUR-resolution `employeeChild`/`family` columns is deliberately NOT filtered by participation, to match the allowance model's population. They diverge whenever the census has non-participating EMPLOYEE_CHILD/FAMILY employees. The grid's own multiplier is computed server-side and passed straight into SQL â no endpoint returns it â so the dump cannot surface it today; the key is suffixed `Participating` so it cannot be mistaken for the grid's. Do NOT use avgChildCountParticipating to label or re-derive allowanceGrid values.",negativeSavings:"Savings CAN be negative (Zorro costs more for that option). `shouldShowSavings:false` is the UI's gate to hide it â never assume savings are positive.",allowanceTables:'TWO age-allowance tables per plan design, both aggregate/PII-free, same source grid: `allowanceByAgeBand` = 5 coarse bands (<30/30â39/40â49/50â59/60+) à 4 blended family units (kept for back-compat). `allowanceGrid` = the FULL schedule: one row per age (18="18 and under", 64="64 and over"), the design\'s real family units (`familyUnits`, 4 for FOUR / 8 for EIGHT), split by contribution class (`byClass[]`). Prefer `allowanceGrid` for the contribution-by-age slide; it is null for incomplete/draft designs. No population counts (it is a pricing curve, not a census).'},familyUnitModel:{what:'A "family unit" is WHO is covered â the household shape a premium and therefore an allowance is priced for. `allowanceGrid.familyUnitResolution` (FOUR | EIGHT) is the AE\'s per-plan-design choice of how finely to slice that axis, and it determines `familyUnits` (the exact column ke
1ys). Render whatever `familyUnits` says â do not hardcode 4 or 8 columns.',four:"FOUR = 1:1 with the canonical platform `FamilyUnit` enum, though the keys are camelCase WIRE NAMES rather than the enum literals: employee<->EMPLOYEE_ONLY, employeeSpouse<->EMPLOYEE_SPOUSE, employeeChild<->EMPLOYEE_CHILD, family<->FAMILY. Children are LUMPED â one credit whether the employee has 1 kid or 4. IMPORTANT: that lumped figure is scaled by a CENSUS-DERIVED AVERAGE number of children (average over the quote's own EMPLOYEE_CHILD/FAMILY employees, falling back to the plan-year general child count) â NOT a fixed per-child tier. So `employeeChild` and `family` can sit between the 1-child and 2-child figures, and they are quote-specific. The EIGHT keys are unaffected: employeeChild1..3 / family1..3 use exact integer counts 1/2/3.",eight:"EIGHT = the SAME four units at finer resolution, with the two child-bearing ones fanned out over dependent counts {1, 2, 3+}: employee + employeeSpouse + (employeeChild à 1/2/3) + (family à 1/2/3) = 2 + 3 + 3 = 8. So EIGHT is not a different taxonomy, just a finer one on the dependent axis. `family*` means employee + spouse + N children (i.e. the employeeChild* row plus a spouse).",keysVsEnums:'IMPORTANT â keys are MAPPED, values are VERBATIM; do not conflate them. The `enums` convention (verbatim @zorro/clients values) applies to `familyUnitResolution`, whose value IS the literal FamilyUnitDistribution enum ("FOUR"/"EIGHT"). It does NOT apply to the entries of `familyUnits`: those are camelCase WIRE KEYS (e.g. "employeeChild1"), not FamilyUnit enum literals (e.g. "EMPLOYEE_CHILD") â and 6 of the 8 have no enum literal at all. Always read the keys from `familyUnits` and index the rows with them as-is; never construct them from the enum.',naming:'The backend enum is `FamilyUnitDistribution` (FOUR | EIGHT), scoped to the quoting domain only â nothing post-sale sees it. The dump exposes it as `familyUnitResolution` because that is what it means: nothing is being *distributed*, the family axis is just resolved at 4 or 8 units. Note the keys are "family units" (the domain\'s own term â the allowance calc doc calls the full set "10 family units"), NOT "tiers": in this codebase "tier" already means the contribution input structure (`ContributionGroup.TIERS`, `allowance3TierTo4Tier*`), a different concept.',limits:'Children are CAPPED AT 3+ (the 3 bucket rolls up everything above). FOUR and EIGHT are the ONLY two resolutions quoting offers â the underlying quote table has a fixed set of 10 allowance columns (the 4 collapsed + the 6 expanded, all always populated), so `familyUnitResolution` only selects which subset to read. This is a QUOTING-side shape: post-sale, the live employer allowance model (`allowance_model_item`) is a long/narrow table keyed by (age band à class à family unit à dependent count) with free-form classes and arbitrary bands, where "4-level" vs "8-level" is implied by the data (dependent count null vs 1/2/3+) rather than being an enum at all. If you ever need a LIVE employer\'s actual model rather than the QUOTED one, that is a different data source.'},howToRead:["Prefer `derived` for rendering; reach into `raw` only for audit or a field not present in `derived`.","`derived.planComparison` â EVERY scenario (all options) with totals + savings + render-complete benchmark plan cards; shared across the quote.","`derived.planDesigns[]` â one entry per SAVED plan design (completed only by default). Carries the employer/employee contribution split, per-employee breakdown, and two aggregate (PII-free) allowance tables: `allowanceByAgeBand` (5-band à 4-unit blended) and `allowanceGrid` (the un-collapsed per-age à full family-unit à contribution-class schedule â see `familyUnitModel`). Scenarios without a saved design have totals + savings but no funded split."],conventions:{cadence:"All money is MONTHLY unless the key ends in 'Annual'.",percentages:"0â100, keys end in 'Pct'.",savings:"Always the shape { savingsMonthly, savingsPct, shouldShowSavings }
1.",formatting:"Numbers only â $/% and ââ formatting is the consumer's job.",enums:"Verbatim @zorro/clients enum values (e.g. scenario, metalLevel)."},scenarioFunding:"FUNDED OPTIONS = SAVED PLAN DESIGNS. The employer/employee funded split (`derived.planDesigns[].contributionDistribution` + `employeeBreakdown`) exists per saved plan design, for that design's OWN scenario â the allowance grid is keyed by (plan design, demographic bucket) with no scenario axis. To present N comparable funded options, the AE saves N plan designs; this dump returns all completed ones. `derived.planComparison.scenarios[]` gives totals + savings for EVERY scenario (read-only), but NOT a funded split â funding a non-saved scenario would overwrite the design's grid, so it needs a scenario-keyed / read-only allowance calc (a core quoting change).",pii:"meta.containsPii=true: employee names, ages, ZIPs, and per-employee plan/cost data are included. Handle per your data-protection rules.",docs:".agents/agent-ops/nextgen-proposals/nextgen-proposals-integration.md (see meta.contractVersion)"};function z(e){return{planName:e.planName,carrier:e.carrier,networkType:e.networkType,employeeCount:e.employeeCount,deductible:e.deductible,moop:e.moop,pcp:e.pcp??null,specialist:e.specialist??null,rx1:e.rx1??null,rx2:e.rx2??null,rx3:e.rx3??null}}function K(e){return{planId:e.planId,planName:e.planName,carrier:e.carrier,metalLevel:e.metalLevel,networkType:e.networkType,employeeCount:e.employeeCount,deductible:e.deductible,medicalMoop:e.medicalMoop,pcpCost:e.pcpCost,specialistCost:e.specialistCost,genericDrugsCost:e.genericDrugsCost,benefitsSummaryUrl:e.benefitsSummaryUrl}}function Z(e,t){let{savings:n,selectedTotalMonthlyCostWithFees:o,savingsInDollars:i}=U({selectedQuoteScenario:t,allQuoteScenarios:e});return{currentMonthly:e.currentPlan.totalMonthlyCost,zorroMonthly:o.toNumber(),savings:{savingsMonthly:i.toNumber(),savingsPct:new f.default(n).mul(100).toNumber(),shouldShowSavings:n>.01}}}var J=e.i(517051),X=e.i(465888);async function ee(e,{includeIncomplete:t=!1}={}){let n=await (0,X.callEndpoint)({method:"quotesControllerFindOne",params:[e]}),[o,i,a,l]=await Promise.all([(0,X.callEndpoint)({method:"employersControllerFindOne",params:[n.employerId]}),(0,X.callEndpoint)({method:"quotesControllerGetAllQuoteScenarios",params:[e]}),(0,X.callEndpoint)({method:"quotesControllerFindCensusPlans",params:[e]}),(0,X.callEndpoint)({method:"quotePlanDesignControllerFindAllForQuote",params:[e]})]),r=t?l:l.filter(e=>e.isCompleted),s=[];for(let t of r){if(!t.scenario||!t.familyUnit){s.push({design:t,allowanceCalculation:null,allowanceModel:[],employeeBreakdown:[],avgPremiums:[]});continue}let n=_({firstAllowanceContributions:t.firstContributionByClass??void 0,secondAllowanceContributions:t.secondContributionByClass,geoDistribution:t.geoDistribution??b.GeoDistribution.OFF,classType:t.workStatus??w.ClassType.NONE,scenario:t.scenario,familyUnitDistribution:t.familyUnit,quotePlanDesignId:t.id}),o=await (0,X.callEndpoint)({method:"quotesControllerCalculateAllowanceModel",params:[e,n]}),i=await (0,X.callEndpoint)({method:"quotesControllerGetEmployeesBreakdown",params:[e,t.id,t.scenario,t.familyUnit]}),a=await (0,X.callEndpoint)({method:"quotesControllerGetAllowanceModel",params:[e,t.id]}),l=await (0,X.callEndpoint)({method:"quotesControllerGetAvgPremiumsForSelectedScenario",params:[e,t.id]});s.push({design:t,allowanceCalculation:o,allowanceModel:a,employeeBreakdown:i,avgPremiums:l})}return{quoteId:e,quote:n,employer:o,allScenarios:i,currentPlans:a,planDesigns:s}}e.s(["DownloadQuoteDumpButton",0,function({quoteId:e}){let[t,n]=(0,c.useState)(!1),o=async()=>{if(!t){n(!0);try{var o;let t,n,i=await ee(e);o=function(e){let{quoteId:t,generatedAt:n,quote:o,employer:i,allScenarios:a,currentPlans:l,planDesigns:r}=e;return{$readme:Q,meta:{contractVersion:"2.4.0",source:"zorro-tornado",generatedAt:n,quoteId:t,quotingYear:o.quotingYear??null,currency:"USD",cadence:"monthly",employeeCount:a.employeeCount,planDesignCount:r.length,completedPlanDesignCount:r.filter(e=>null!==e.allowanceCalculation).length,containsPii:!0},raw:{employer:i,quote:o,allScenarios:a,currentPlans:l,planDesigns:r.map(({design:e,allowanceCalculation:t,allowanceModel:n,employeeBreakdown:o,avgPremiums:i})=>({design:e,allowanceCalculation:t,allowanceModel:n,employeeBreakdown:o,avgPremiums:i}))},derived:{planComparison:{totalFeesMonthly:a.totalFees,currentPlans:l.map(z),scenarios:a.scenarios.map(e=>({scenario:e.scenario,avgPerEmployeeMonthly:e.averageMonthlyCostPerEmployee,benchmarkPlans:e.quotePlans.map(K),...Z(a,e)}))},planDesigns:r.map(e=>(function({design:e,allowanceCalculation:t,allowanceModel:n,employeeBreakdown:o,avgPremiums:i},a){var l,r;
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