1import{j as e}from"./vendor-radix-BPSkPlGE.js";import{a as b,N as Rs}from"./vendor-router-ijjF5Wqn.js";import{bE as Ie,bF as Os,s as Bs,bG as ss,$ as x,bH as as,B as C,bI as is,T as ze,h as Fe,i as Re,bJ as Vs,aD as J,l as G,aE as be,bK as Gs,aF as Oe,f as ts,aK as E,ao as L,J as T,aJ as H,bL as $s,bM as Us,bN as Ws,bO as Hs,bP as Ys,_ as le,w as ns,x as Y,F as Ks,aG as rs,ah as cs,ai as os,aj as ls,ak as ds,al as ms,bQ as Ee,Y as Ye,aI as qs,aH as Js,u as ps,bR as Qs,bS as Xs,I as us,bT as F,bU as Zs,bV as Q,bW as ea,ay as gs,az as ee,aA as se,aB as ae,bX as sa,bY as aa,aN as ia,bZ as ta,bm as xe,P as Se,b_ as na,C as ra,D as ca,g as oa,b$ as la}from"./index-CDKaVpGr.js";import{P as Pe}from"./page-section-D0F9AI0s.js";import{aw as Be,q as ye,$ as da,_ as fe,y as de,a0 as fs,Q as Ve,ax as hs,a9 as te,n as ma,ay as xs,R as _s,ae as vs,az as pa,aA as ua,ai as bs,f as B,O as ys,g as ne,J as je,r as ga,aB as re,U as ge,a1 as fa,aC as ha,aD as xa,a7 as _a,aE as va,aF as ba,L as ya,aG as ja,a as Na,aH as Ke}from"./vendor-lucide-DdygwJ1I.js";import{u as wa}from"./vendor-query-DagTE0Ex.js";import{A as K,g as ka,e as js,f as Ca,h as Sa,t as qe,c as Pa,i as Ma,j as Aa,b as Da,H as Ia,W as Ea,d as Ta,k as Ns,l as ws,a as Te}from"./allergy-packs-BoK2dRJ7.js";import{g as ks,h as Cs,D as La,c as za,s as Fa,a as Ss,f as Ps,b as Ra}from"./DietInfoSheet-D6WFQxyD.js";import{U as Oa}from"./UniversalToggleGroup-BQsIi4yn.js";import"./vendor-supabase-CaTYeyJT.js";import"./vendor-mermaid-CP2TjrIP.js";const ie={MAJOR_DELTA:15,MIN_FAT_PCT:10,MAX_PROTEIN_PCT:50,MIN_PROTEIN_PCT:10},Ba=new Set(["keto","low-carb-high-protein","zone","atkins","carnivore"]);function Va(s){if(s.basis!=="calories")return!1;const i=s.protein_pct+s.carbs_pct+s.fat_pct;return i>=99&&i<=101}function Ga(s){if(Ba.has(s.pack_id))return"macro_defined";const i=s.defaults;if(i?.ui_hints&&typeof i.ui_hints=="object"){const t=i.ui_hints;if(t.macro_suggestion&&typeof t.macro_suggestion=="object"){const r=t.macro_suggestion;if(r.kind==="macro_defined")return"macro_defined";if(r.kind==="pattern")return"pattern"}}return s.family==="B_nutrient"||s.capabilities?.defines_macros===!0?"macro_defined":"pattern"}function $a(s){return s==="macro_defined"?1:.5}function Ua(s){return s.map(i=>{const n=ks(i);if(!n)return null;if(!Va(n))return console.warn(`[macro-merge] Invalid suggestion in pack ${i.pack_id}: basis=${n.basis}, sum=${n.protein_pct+n.carbs_pct+n.fat_pct}`),null;const t=Ga(i);return{pack_id:i.pack_id,pack_display_name:i.display_name,suggestion:n,kind:t,weight:$a(t)}}).filter(i=>i!==null)}function Wa(s){const i=[],n=[],t=s.filter(c=>c.kind==="macro_defined"),r=s.filter(c=>c.kind==="pattern");for(let c=0;c<t.length;c++)for(let a=c+1;a<t.length;a++){const m=t[c],o=t[a],d=["protein_pct","carbs_pct","fat_pct"];for(const l of d){const u=Math.abs(m.suggestion[l]-o.suggestion[l]);if(u>=ie.MAJOR_DELTA){const g=l.replace("_pct","");i.push({kind:"divergence",packs:[m.pack_id,o.pack_id],metric:l,delta:u,message:`${m.pack_display_name} and ${o.pack_display_name} differ by ${u}% on ${g}`})}}}for(const c of t)for(const a of r){const m=["protein_pct","carbs_pct","fat_pct"];for(const o of m){const d=Math.abs(c.suggestion[o]-a.suggestion[o]);if(d>=ie.MAJOR_DELTA){const l=o.replace("_pct","");n.push({packs:[c.pack_id,a.pack_id],metric:o,delta:d,message:`${a.pack_display_name} suggests different ${l} than ${c.pack_display_name} (${d}% difference)`})}}}return{conflicts:i,warnings:n}}function Ha(s){if(s.length===0)return null;if(s.length===1){const o=s[0];return{...o.suggestion,source_pack_ids:[o.pack_id]}}const i=s.filter(o=>o.kind==="macro_defined");if(i.length===0)return Ya(s);const n=Math.min(...i.map(o=>o.suggestion.carbs_pct)),t=Math.max(...i.map(o=>o.suggestion.protein_pct));if(t+n>100-ie.MIN_FAT_PCT)return null;const r=Math.min(t,ie.MAX_PROTEIN_PCT),c=n,a=100-c-r;if(a<ie.MIN_FAT_PCT||r<ie.MIN_PROTEIN_PCT)return null;const m=i.map(o=>o.pack_display_name).join(" + ");return{basis:"calories",protein_pct:r,carbs_pct:c,fat_pct:a,description:`Combined from ${m}`,source_pack_ids:i.map(o=>o.pack_id)}}function Ya(s){if(s.length===0)return null;const i=s.reduce((c,a)=>c+a.weight,0),n=Math.round(s.reduce((c,a)=>c+a.suggestion.protein_pct*a.weight,0)/i),t=Math.round(s.reduce((c,a)=>c+a.suggestion.carbs_pct*a.weight,0)/i),r=100-n-t;
1return{basis:"calories",protein_pct:n,carbs_pct:t,fat_pct:r,description:"Blended suggestion",source_pack_ids:s.map(c=>c.pack_id)}}function Ka(s){const i=Ua(s);if(i.length===0)return{status:"none",conflicts:[],warnings:[],candidates:[],recommended_action:"do_nothing"};if(i.length===1){const c=i[0];return{status:"single",merged:{...c.suggestion,source_pack_ids:[c.pack_id]},conflicts:[],warnings:[],candidates:i,recommended_action:"auto_apply"}}const{conflicts:n,warnings:t}=Wa(i);if(n.length>0)return{status:"conflict",conflicts:n,warnings:t,candidates:i,recommended_action:"ask_user"};const r=Ha(i);return r?{status:"merged",merged:r,conflicts:[],warnings:t,candidates:i,recommended_action:t.length>0?"ask_user":"auto_apply"}:{status:"conflict",conflicts:[{kind:"incompatible_constraints",packs:i.map(c=>c.pack_id),metric:"fat_pct",delta:0,message:"Combined constraints result in invalid macro distribution"}],warnings:t,candidates:i,recommended_action:"ask_user"}}function qa(s){return!s||typeof s!="object"?{}:s}function Ja(s){switch(s){case"blocker":return"text-destructive";case"error":return"text-destructive";case"warning":return"text-warning";case"info":return"text-muted-foreground";default:return"text-muted-foreground"}}function Qa(s){switch(s){case"blocker":return"bg-destructive/10 border-destructive/20";case"error":return"bg-destructive/10 border-destructive/20";case"warning":return"bg-warning/10 border-warning/20";case"info":return"bg-muted/50 border-border";default:return"bg-muted/50 border-border"}}const Le={all:["diet-conflicts"],list:()=>[...Le.all,"list"],forPacks:s=>[...Le.all,"for-packs",...s.sort()]};function Ms(s,i){const n=i.find(c=>c.pack_id===s.pack_a_id),t=i.find(c=>c.pack_id===s.pack_b_id);if(!n||!t)return!1;const r=(c,a)=>a?Ie(c,a)>=0:!0;return r(n.version,s.pack_a_version)&&r(t.version,s.pack_b_version)}function Ge(){return wa({queryKey:Le.list(),queryFn:async()=>{const{data:s,error:i}=await Bs.from("diet_pack_conflicts").select("*").order("severity",{ascending:!1}).order("created_at",{ascending:!1});if(i)throw new Error(`Failed to fetch diet pack conflicts: ${i.message}`);return s},staleTime:Os})}function Xa(s,i){const{data:n,isLoading:t,error:r}=Ge(),c=b.useMemo(()=>{if(!n||!i||s.length<2)return[];const a=new Map(i.map(d=>[d.pack_id,d])),m=[];for(const d of n){if(!Ms(d,s))continue;const l=a.get(d.pack_a_id),u=a.get(d.pack_b_id);m.push({conflict:d,pack_a_display_name:l?.display_name||d.pack_a_id,pack_b_display_name:u?.display_name||d.pack_b_id,suggested_resolution:qa(d.suggested_resolution),user_message:d.user_message??void 0,detail_message:d.detail_message??void 0,conflict_type:d.conflict_type??void 0,reason_code:d.reason_code??void 0})}const o={blocker:0,error:1,warning:2,info:3};return m.sort((d,l)=>(o[d.conflict.severity]??4)-(o[l.conflict.severity]??4))},[n,i,s]);return{activeConflicts:c,isLoading:t,error:r,hasConflicts:c.length>0,hasCriticalConflicts:c.some(a=>a.conflict.severity==="blocker"||a.conflict.severity==="error")}}function Za(s){const{data:i}=Ge();return b.useMemo(()=>{if(!i||s.length<2)return{total:0,critical:0,error:0,warning:0,info:0};const n=i.filter(t=>
1Ms(t,s));return{total:n.length,blocker:n.filter(t=>t.severity==="blocker").length,error:n.filter(t=>t.severity==="error").length,warning:n.filter(t=>t.severity==="warning").length,info:n.filter(t=>t.severity==="info").length}},[i,s])}function As(s,i,n,t,r){const{data:c}=Ge();return b.useMemo(()=>{if(n||!c||!r)return{hasConflicts:!1,conflicts:[],highestSeverity:null};const a=new Map(r.map(l=>[l.pack_id,l])),m=t.map(l=>l.pack_id),o=[];for(const l of c){let u=null,g=null,y=null;if(l.pack_a_id===s&&m.includes(l.pack_b_id)?(u=l.pack_b_id,g=l.pack_a_version,y=l.pack_b_version):l.pack_b_id===s&&m.includes(l.pack_a_id)&&(u=l.pack_a_id,g=l.pack_b_version,y=l.pack_a_version),u){const v=t.find(j=>j.pack_id===u),N=!g||Ie(i,g)>=0,p=!y||!v||Ie(v.version,y)>=0;if(N&&p){const j=a.get(u);o.push({conflict:l,otherPackId:u,otherPackName:j?.display_name||u,severity:l.severity})}}}const d={blocker:0,error:1,warning:2,info:3};return o.sort((l,u)=>(d[l.severity]??4)-(d[u.severity]??4)),{hasConflicts:o.length>0,conflicts:o,highestSeverity:o[0]?.severity||null}},[s,i,n,t,c,r])}function ei(s){switch(s){case"blocker":case"error":return fs;case"warning":return de;default:return fe}}function si({conflicts:s,onDismiss:i,onDismissAll:n,onRemovePack:t}){const[r,c]=b.useState(!0);if(s.length===0)return null;const a=s[0]?.conflict.severity||"warning",m=ei(a);return e.jsx("div",{className:x("rounded-lg border p-space-md",Qa(a)),children:e.jsxs(ss,{open:r,onOpenChange:c,children:[e.jsxs("div",{className:"flex items-start justify-between gap-space-md",children:[e.jsxs("div",{className:"flex items-start gap-space-3",children:[e.jsx(m,{className:x("size-icon-md mt-space-2xs shrink-0",Ja(a))}),e.jsx("div",{className:"flex flex-col gap-space-xs",children:e.jsx(as,{asChild:!0,children:e.jsxs("button",{className:"text-left flex items-center gap-space-sm group",children:[e.jsxs("div",{children:[e.jsx("p",{className:"font-medium 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"${u}" doesn't match conflict packs [${g}, ${y}]`),null):null;return e.jsx("div",{className:"rounded-md bg-background/50 p-space-3 text-fluid-sm",children:e.jsx("div",{className:"flex items-start justify-between gap-space-sm",children:e.jsxs("div",{className:"flex-1",children:[e.jsxs("div",{className:"flex items-center gap-space-sm font-medium",children:[e.jsx("span",{children:a}),e.jsx("span",{className:"text-muted-foreground",children:"+"}),e.jsx("span",{children:m})]}),e.jsx("p",{className:"mt-space-xs text-muted-foreground",children:d||c.conflict_reason}),o.message&&e.jsxs("p",{className:"mt-space-sm text-fluid-xs text-foreground/70 italic",children:["ð¡ ",o.message]}),(N||i)&&e.jsxs("div",{className:"mt-space-3 flex flex-wrap items-center gap-space-sm",children:[N&&n&&e.jsxs(C,{variant:"outline",size:"sm",className:"h-7 text-fluid-xs",onClick:()=>n(N.id),children:["Remove ",N.name]}),i&&e.jsx(C,{variant:"ghost",size:"sm",className:"h-7 body-caption",onClick:()=>i(c.id),children:"Dismiss"})]}),l&&e.jsxs("div",{className:"mt-space-sm",children:[e.jsxs("button",{onClick:()=>r(!t),className:"text-fluid-xs text-primary hover:underline flex items-center gap-space-xs",children:[t?"Hide details":"Learn more",t?e.jsx(Be,{className:"size-icon-xs"}):e.jsx(ye,{className:"size-icon-xs"})]}),t&&e.jsx("p",{className:"mt-space-sm body-caption bg-surface-muted-medium p-space-sm rounded",children:l})]})]})})})}function ii({pack:s}){const[i,n]=b.useState(!1);return Cs(s.pack_id)?e.jsxs(e.Fragment,{children:[e.jsxs(C,{variant:"ghost",size:"sm",className:x("h-auto py-space-xs px-space-sm text-fluid-xs font-medium","text-muted-foreground hover:text-foreground","gap-space-xs"),onClick:t=>{t.stopPropagation(),n(!0)},children:[e.jsx(fe,{className:"h-3.5 w-3.5"}),"Learn more"]}),e.jsx(La,{pack:s,open:i,onOpenChange:n})]}):null}function $e({pack:s,isActive:i,isLoading:n,onToggle:t,conflictPreview:r}){const c=ks(s),a=!i&&r?.hasConflicts;return e.jsxs("button",{onClick:t,disabled:n,className:x("list-row list-row--compact text-left transition-colors duration-200",i&&"bg-surface-positive-subtle",a&&"bg-surface-caution-subtle"),children:[e.jsx("div",{className:"size-icon-sm shrink-0 flex items-center justify-center",children:n&&e.jsx(Ve,{className:"size-icon-sm animate-spin text-muted-foreground"})}),e.jsxs("div",{className:"flex flex-col gap-space-xs-1 min-w-0",children:[e.jsxs("div",{className:"flex flex-wrap items-center gap-x-space-sm gap-y-space-xs",children:[e.jsx("span",{className:x("text-fluid-base font-medium transition-colors",i?"text-foreground":"text-foreground
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1le(["insufficient_data","high_variance","incomplete_logging","weight_stable","calibration_complete"]);class _e extends Error{constructor(i){super(`Policy integrity check failed: ${i.join(", ")}`),this.reason_codes=i,this.name="PolicyIntegrityError"}}const R="53bcdfaa6d3963856e795f68af821fa51dd3e34ce9c6b549e22fd0b0aec57a80";function Ds(){return R.includes("__DEV_MANIFEST_HASH__")}const Is=`{ 2 "version": "1.0.0", 3 "generated_at": "2026-01-12T19:24:06.592Z", 4 "policies": { 5 "activity_active": { 6 "policy_id": "activity_active", 7 "policy_version": "1.0.0", 8 "review_status": "reviewed", 9 "reviewed_by": "system", 10 "reviewed_at": "2026-01-03", 11 "source_locator": { 12 "kind": "doi", 13 "id": "10.1123/ijsnem.2019-0171", 14 "edition": null, 15 "section": "Activity Factor Validation" 16 }, 17 "evidence_hash": "43460b8236618922f922383b63705ffbe8b740cc79c6ff88058d37eef0a33d09", 18 "assumptions": [ 19 "Hard exercise 6-7 days/week", 20 "Physically demanding job or intensive training", 21 "Self-reported activity level" 22 ], 23 "variance_pct": 0.12, 24 "multiplier": 1.725 25 }, 26 "activity_athlete": { 27 "policy_id": "activity_athlete", 28 "policy_version": "1.0.0", 29 "review_status": "reviewed", 30 "reviewed_by": "system", 31 "reviewed_at": "2026-01-03", 32 "source_locator": { 33 "kind": "doi", 34 "id": "10.1123/ijsnem.2019-0171", 35 "edition": null, 36 "section": "Activity Factor Validation" 37 }, 38 "evidence_hash": "a7fecd0fa60585fbdcacbb7903e7c76216d3b89698fc87f4382c6b795eb0f24f", 39 "assumptions": [ 40 "Professional or elite athlete", 41 "Multiple training sessions daily", 42 "Self-reported activity level" 43 ], 44 "variance_pct": 0.15, 45 "multiplier": 2 46 }, 47 "activity_light": { 48 "policy_id": "activity_light", 49 "policy_version": "1.0.0", 50 "review_status": "reviewed", 51 "reviewed_by": "system", 52 "reviewed_at": "2026-01-03", 53 "source_locator": { 54 "kind": "doi", 55 "id": "10.1123/ijsnem.2019-0171", 56 "edition": null, 57 "section": "Activity Factor Validation" 58 }, 59 "evidence_hash": "d832abe36f2728c3981fb79cfd9909b19619fe46816e063ace9baf509c49687c", 60 "assumptions": [ 61 "Light exercise 1-3 days/week", 62 "Some walking or light activity", 63 "Self-reported activity level" 64 ], 65 "variance_pct": 0.08, 66 "multiplier": 1.375 67 }, 68 "activity_moderate": { 69 "policy_id": "activity_moderate", 70 "policy_version": "1.0.0", 71 "review_status": "reviewed", 72 "reviewed_by": "system", 73 "reviewed_at": "2026-01-03", 74 "source_locator": { 75 "kind": "doi", 76 "id": "10.1123/ijsnem.2019-0171", 77 "edition": null, 78 "section": "Activity Factor Validation" 79 }, 80 "evidence_hash": "91a664b2f3d61f9bc4626ce8552a23b3ea400f974e9298ba4c817d5a3d522c4a", 81 "assumptions": [ 82 "Moderate exercise 3-5 days/week", 83 "Regular structured exercise", 84 "Self-reported activity level" 85 ], 86 "variance_pct": 0.1, 87 "multiplier": 1.55 88 }, 89 "activity_sedentary": { 90 "policy_id": "activity_sedentary", 91 "policy_version": "1.0.0", 92 "review_status": "reviewed", 93 "reviewed_by": "system", 94 "reviewed_at": "2026-01-03", 95 "source_locator": { 96 "kind": "doi", 97 "id": "10.1123/ijsnem.2019-0171", 98 "edition": null, 99 "section": "Activity Factor Validation" 100 }, 101 "evidence_hash": "dd7a5ec79985754e7c4248be3209eae95e3ef99211cc915012e73a6ec3873384", 102 "assumptions": [ 103 "Little or no exercise", 104 "Desk job or sedentary occupation", 105 "Self-reported activity level" 106 ], 107 "variance_pct": 0.05, 108 "multiplier": 1.2 109 }, 110 "activity_very_active": { 111 "policy_id": "activity_very_active", 112 "policy_version": "1.0.0", 113 "review_status": "reviewed", 114 "reviewed_by": "system", 115 "reviewed_at": "2026-01-03", 116 "source_locator": { 117 "kind": "doi",
118 "id": "10.1123/ijsnem.2019-0171", 119 "edition": null, 120 "section": "Activity Factor Validation" 121 }, 122 "evidence_hash": "f699593e48b2b3f3c332fa2b2fed9c531cec1ea859def55d67bff293934417c5", 123 "assumptions": [ 124 "Very hard exercise or physical job", 125 "Two-a-day training sessions", 126 "Self-reported activity level" 127 ], 128 "variance_pct": 0.15, 129 "multiplier": 1.9 130 }, 131 "bmr_formula_variance": { 132 "policy_id": "bmr_formula_variance", 133 "policy_version": "1.0.0", 134 "review_status": "reviewed", 135 "reviewed_by": "system", 136 "reviewed_at": "2026-01-03", 137 "source_locator": { 138 "kind": "doi", 139 "id": "10.1093/ajcn/51.2.241", 140 "edition": null, 141 "section": "Results - Validation against indirect calorimetry" 142 }, 143 "evidence_hash": "3b59c9ef1e439627a3523bf08419a227f6141a8006a4eb7b1f53b4e38b8a2e00", 144 "assumptions": [ 145 "Applied to Mifflin-St Jeor formula only", 146 "Validation population similar to target users", 147 "Indirect calorimetry as gold standard" 148 ], 149 "variance_pct": 0.1 150 }, 151 "body_fat_dexa": { 152 "policy_id": "body_fat_dexa", 153 "policy_version": "1.0.0", 154 "review_status": "reviewed", 155 "reviewed_by": "system", 156 "reviewed_at": "2026-01-03", 157 "source_locator": { 158 "kind": "doi", 159 "id": "10.1007/s00198-014-2755-z", 160 "edition": null, 161 "section": "DXA Precision Studies" 162 }, 163 "evidence_hash": "77c57477222e49b664cdd1d33abcb1554fbf5a76550267c3ca076fbecc04794c", 164 "assumptions": [ 165 "DEXA scan performed by qualified technician", 166 "Standardized hydration and fasting state", 167 "Recent measurement (within 30 days)" 168 ], 169 "variance_pct": 0.02 170 }, 171 "body_fat_not_provided": { 172 "policy_id": "body_fat_not_provided", 173 "policy_version": "1.0.0", 174 "review_status": "reviewed", 175 "reviewed_by": "system", 176 "reviewed_at": "2026-01-03", 177 "source_locator": { 178 "kind": "internal", 179 "id": "governance/body-composition-variance", 180 "section": "Missing Data Policy" 181 }, 182 "evidence_hash": "71ad48ecaa5b600803e2cbb2fd912f3ab96d333b29b0ecf321058a966e5947b1", 183 "assumptions": [ 184 "Body fat percentage not provided by user", 185 "Using weight-based BMR formula (Mifflin-St Jeor)", 186 "Lean mass estimation not applicable" 187 ], 188 "variance_pct": 0.05 189 }, 190 "body_fat_self_reported": { 191 "policy_id": "body_fat_self_reported", 192 "policy_version": "1.0.0", 193 "review_status": "reviewed", 194 "reviewed_by": "system", 195 "reviewed_at": "2026-01-03", 196 "source_locator": { 197 "kind": "internal", 198 "id": "governance/body-composition-variance", 199 "section": "Self-Report Accuracy" 200 }, 201 "evidence_hash": "c2792e7e0511e8bfb02284fb5ba189aa7365b80334bbb9eab2387a5174852bd0", 202 "assumptions": [ 203 "User estimated body fat percentage", 204 "No objective measurement method used", 205 "May include visual estimation or consumer scale" 206 ], 207 "variance_pct": 0.08 208 }, 209 "composition_linear_conservative": { 210 "policy_id": "composition_linear_conservative", 211 "policy_version": "1.0.0", 212 "review_status": "reviewed", 213 "reviewed_by": "system", 214 "reviewed_at": "2026-01-03", 215 "source_locator": { 216 "kind": "internal", 217 "id": "governance/variance-composition-rationale", 218 "section": "Composition Rule Selection" 219 }, 220 "evidence_hash": "09f23b00a7e938de8021f445f24697e09993062f12b74c5978b90c348ca4a3bb", 221 "assumptions": [ 222 "no_independence_assumed", 223 "conservative_for_weight_loss", 224 "activity_bmr_correlation_possible" 225 ], 226 "rule": "linear_sum_conservative", 227 "capped_at": 0.25 228 }, 229 "decision_point_gain": { 230 "policy_id": "decision_point_gain", 231 "policy_version": "1.0.0", 232 "review_status": "reviewed", 233 "reviewed_by": "system", 234 "reviewed_at": "2026-01-03", 235 "source_locator": { 236 "kind": "internal", 237 "id": "governance/decision-point-rationale", 238 "section": "Weight Gain Safety" 239 }, 240 "evidence_hash": "1f0d9965cb46e8f3d76789e7f1c5d8f1b70e279c6cdbf8b8ebb0e82969e86feb", 241 "assumptions": [ 242 "Conservative against underestimating TDEE", 243 "Prevents excessive caloric surplus", 244 "Minimizes unwanted fat gain" 245 ], 246 "decision_bound": "high" 247 }, 248 "decision_point_loss": { 249 "policy_id": "decision_point_loss", 250 "policy_version": "1.0.0", 251 "review_status": "reviewed", 252 "reviewed_by": "system", 253 "reviewed_at": "2026-01-03", 254 "source_locator": { 255 "kind": "internal", 256 "id": "governance/decision-point-rationale",
257 "section": "Weight Loss Safety" 258 }, 259 "evidence_hash": "603278b4de768470f72d689baf832e518bfdeb8870b541866ed904ae0aa888c6", 260 "assumptions": [ 261 "Conservative against overestimating TDEE", 262 "Prevents excessive caloric restriction", 263 "Prioritizes safety over speed" 264 ], 265 "decision_bound": "low" 266 }, 267 "decision_point_maintenance": { 268 "policy_id": "decision_point_maintenance", 269 "policy_version": "1.0.0", 270 "review_status": "reviewed", 271 "reviewed_by": "system", 272 "reviewed_at": "2026-01-03", 273 "source_locator": { 274 "kind": "internal", 275 "id": "governance/decision-point-rationale", 276 "section": "Maintenance Strategy" 277 }, 278 "evidence_hash": "22aee26fc5112f0bb05ab3d41f4c64382e88ccf9e52316941eb5f33f0ec8f149", 279 "assumptions": [ 280 "No directional bias needed", 281 "Display point represents best estimate", 282 "User can adjust based on weight trends" 283 ], 284 "decision_bound": "display" 285 } 286 } 287} 288`;let ve;try{ve=JSON.parse(Is)}catch{ve={version:"invalid",generated_at:"invalid",policies:{}}}const ui={...ve,manifest_hash:R};async function gi(s){const n=new TextEncoder().encode(s),t=await crypto.subtle.digest("SHA-256",n);return Array.from(new Uint8Array(t)).map(c=>c.toString(16).padStart(2,"0")).join("")}async function fi(){const s=await gi(Is);return ve.version==="invalid"?{valid:!1,reason_codes:["policy_integrity_fail","schema_validation_failed","manifest_parse_failed"],manifest_hash:s,expected_hash:R}:Ds()?{valid:!1,reason_codes:["policy_integrity_fail","dev_manifest_hash_in_production"],manifest_hash:s,expected_hash:R}:s!==R?(console.error(`[MetabolicBounds] Policy manifest hash mismatch! 289 Expected: ${R} 290 Computed: ${s} 291This may indicate manifest tampering, partial deploy, or stale bundle.`),{valid:!1,reason_codes:["policy_integrity_fail","manifest_hash_mismatch"],manifest_hash:s,expected_hash:R}):{valid:!0,reason_codes:[],manifest_hash:s,expected_hash:R}}let oe=null;function hi(){return Ds()?{valid:!1,reason_codes:["policy_integrity_fail","dev_manifest_hash_in_production"],manifest_hash:"",expected_hash:R}:oe||{valid:!1,reason_codes:["policy_integrity_fail","verification_not_initialized"],manifest_hash:"",expected_hash:R}}async function xi(){return oe=await fi(),oe}function Ne(){return ui}function _i(){return oe?oe.manifest_hash:R}let Je=!1,X=null;function we(){if(Je){if(X&&!X.valid)throw new _e(X.reason_codes)}else if(X=hi(),Je=!0,!X.valid)throw new _e(X.reason_codes)}function Ue(s){return typeof s.source_locator=="object"?s.source_locator:{kind:"internal",id:String(s.source_locator),section:void 0}}function Es(s){we();const n=Ne().policies[s];return n?n.variance_pct===void 0?(console.warn(`[PolicyLoader] Policy ${s} missing variance_pct`),null):{policy_id:n.policy_id,policy_version:n.policy_version,source_locator:Ue(n),evidence_hash:n.evidence_hash,variance_pct:n.variance_pct,review_status:n.review_status,reviewed_by:n.reviewed_by,reviewed_at:n.reviewed_at,assumptions:n.assumptions||[]}:null}function vi(s){we();const i=`activity_${s.toLowerCase().replace("-","_")}`,t=Ne().policies[i];return t?t.variance_pct===void 0||t.multiplier===void 0?(console.warn(`[PolicyLoader] Activity policy ${i} missing required fields`),null):{policy_id:t.policy_id,policy_version:t.policy_version,source_locator:Ue(t),evidence_hash:t.evidence_hash,variance_pct:t.variance_pct,multiplier:t.multiplier,review_status:t.review_status,reviewed_by:t.reviewed_by,reviewed_at:t.reviewed_at,assumptions:t.assumptions||[]}:null}function bi(s){we();const i=`decision_point_${s}`,t=Ne().policies[i];return t?t.decision_bound===void 0?(console.warn(`[PolicyLoader] Decision policy ${i} missing decision_bound`),null):{policy_id:t.policy_id,policy_version:t.policy_version,source_locator:Ue(t),evidence_hash:t.evidence_hash,decision_bound:t.decision_bound,assumptions:t.assumptions||[]}:null}function Ts(){we();const s="composition_linear_conservative",n=Ne().policies[s];if(!n)throw new _e(["policy_load_failed",`missing_policy:${s}`]);if(n.rule===void 0||n.capped_at===void 0)throw new _e(["policy_load_failed",`invalid_policy:${s}`,"missing_required_fields"]);return{policy_id:n.policy_id,policy_version:n.policy_version,rule:n.rule,justification:"Activity-level and BMR errors may correlate via self-report bias",assumptions:n.assumptions||[],capped_at:n.capped_at}}function yi(){return Es("bmr_formula_variance")}function ji(s){const i=`body_fat_${s}`;return Es(i)}function Ls(){return Ts()}function Ni(s,i){const n=i??Ls(),t=s.map(a=>a.applied_variance);let r;n.rule==="rss"?r=Math.sqrt(t.reduce((a,m)=>a+m*m,0)):r=t.reduce((a,m)=>a+m,0);const c=r>n.capped_at;
291return{total_variance_pct:Math.min(r,n.capped_at),uncapped_total_variance_pct:r,capped:c}}function wi(s){return{lo_multiplier:1-s,hi_multiplier:1+s}}function ki(s,i,n=.05){return s<=0?!1:(i-s)/s>=n}const W={weight:{min:20,max:500},height:{min:50,max:300},age:{min:1,max:120},bodyFat:{min:3,max:70}};function Ci(){return{evaluator_version:ce,policy_version:V,evaluated_at:new Date().toISOString()}}async function Si(s,i,n={}){const t=Ci(),{goalsEnabled:r=!0,checkIdempotence:c=!1,existingFingerprint:a}=n;if(!i.valid)return{...t,status:"failed",reason_codes:i.reason_codes,input_fingerprint:""};if(!r)return{...t,status:"skipped_not_needed",reason_codes:["user_disabled_goals"],input_fingerprint:""};const m=[];if((s.weightKg===void 0||s.weightKg<=0)&&m.push("missing_weight"),(s.heightCm===void 0||s.heightCm<=0)&&m.push("missing_height"),(s.age===void 0||s.age<=0)&&m.push("missing_age"),s.gender||m.push("missing_gender"),s.activityLevel||m.push("missing_activity_level"),m.length>0)return{...t,status:"skipped_dependency_unavailable",reason_codes:m,input_fingerprint:""};const o=[];if((s.weightKg<W.weight.min||s.weightKg>W.weight.max)&&o.push("weight_out_of_bounds"),(s.heightCm<W.height.min||s.heightCm>W.height.max)&&o.push("height_out_of_bounds"),(s.age<W.age.min||s.age>W.age.max)&&o.push("age_out_of_bounds"),s.bodyFatPct!==void 0&&(s.bodyFatPct<W.bodyFat.min||s.bodyFatPct>W.bodyFat.max)&&o.push("body_fat_out_of_bounds"),o.length>0)return{...t,status:"failed",reason_codes:o,input_fingerprint:""};const d=Ls(),l=await za(s,V,d.rule,d.policy_version);return c&&a&&l===a?{...t,status:"skipped_not_needed",reason_codes:["up_to_date"],input_fingerprint:l}:{...t,status:"ready",reason_codes:[],input_fingerprint:l}}function Me(s,i,n=""){const t=new Date().toISOString();return{envelope:{status:"failed",reason_codes:s,evaluator_version:ce,policy_version:V,evaluated_at:t,input_fingerprint:n},bmr:{display_point:0,decision_point:0,low:0,high:0},tdee:{display_point:0,decision_point:0,low:0,high:0},target_calories:{display_point:0,decision_point:0,low:0,high:0},show_range:!1,trace:zs(),calibration:We(),versions:{bounds_engine:ce,policy_version:V,manifest_hash:i},refinement_suggestions:[]}}function Pi(s,i,n,t=""){const r=new Date().toISOString();return{envelope:{status:s,reason_codes:i,evaluator_version:ce,policy_version:V,evaluated_at:r,input_fingerprint:t},bmr:{display_point:0,decision_point:0,low:0,high:0},tdee:{display_point:0,decision_point:0,low:0,high:0},target_calories:{display_point:0,decision_point:0,low:0,high:0},show_range:!1,trace:zs(),calibration:We(),versions:{bounds_engine:ce,policy_version:V,manifest_hash:n},refinement_suggestions:[]}}function zs(){return{bmr_formula:"",bmr_point:0,activity_level:"",activity_multiplier:0,goal_deficit:0,goal_direction:"maintenance",sources:[],composition:{policy_id:"unavailable",policy_version:"0.0.0",rule:"linear_sum_conservative",justification:"unavailable (bounds not computed)",assumptions:[],capped_at:0},composition_result:{total_variance_pct:0,uncapped_total_variance_pct:0,capped:!1},interval:{lo_multiplier:1,hi_multiplier:1},decision_point_policy:{policy_id:"unavailable",policy_version:"0.0.0",evidence_hash:""}}}function We(){return{status:"uncalibrated",reason_codes:["insufficient_data"],evaluated_at:new Date().toISOString(),window_days:14,data_points_available:0,data_points_required:14}}function Mi(s,i,n){switch(n){case"loss":return i.low;case"gain":return i.high;default:return s}}function Ai(s,i){const n=[],t=yi();t&&n.push({source_type:"bmr_formula",policy_id:t.policy_id,policy_version:t.policy_version,evidence_hash:t.evidence_hash,base_variance:t.variance_pct,applied_variance:t.variance_pct,reason:"Formula validation against indirect calorimetry"});const r=vi(s);r&&n.push({source_type:"activity_level",policy_id:r.policy_id,policy_version:r.policy_version,evidence_hash:r.evidence_hash,base_variance:r.variance_pct,applied_variance:r.variance_pct,reason:`Self-reported ${s} activity level`});const c=ji(i);return c&&n.push({source_type:"body_composition",policy_id:c.policy_id,policy_version:c.policy_version,evidence_hash:c.evidence_hash,base_variance:c.variance_pct,applied_variance:c.variance_pct,reason:i==="not_provided"?"Body fat not provided, using weight-based formula":`Body fat from ${i.replace("_"," ")}`}),n}function Di(s,i){const n=[];return s==="not_provided"&&n.push({id:"provide_body_fat",title:"Add body composition",description:"Providing body fat percentage enables more accurate calculations using lean mass.",impact:"medium",action_type:"provide_data"}),s==="self_reported"&&n.push({id:"measure_body_fat",title:"Get precise body composition",description:"A DEXA scan or professional measurement would reduce uncertainty significantly.",impact:"medium",action_type:"provide_data"}),i==="uncalibrated"&&n.push({id:"track_intake",title:"Track intake for 2 weeks",description:"Logging food intake and weight changes allows calibration of your personal TDEE.",impact:"high",action_type:"track_intake"}),n}async function Ii(s,i={}){const{bodyFatSource:n=s.bodyFatPct!==void 0?"self_reported":"not_provided",goalDeficit:t=0,goalDirection:r="maintenance",goalsEnabled:c=!0,checkIdempotence:a=!1,existingFingerprint:m}
291=i,o=await xi(),d=_i(),l=await Si(s,o,{goalsEnabled:c,checkIdempotence:a,existingFingerprint:m});if(l.status!=="ready")return l.status==="failed"?Me(l.reason_codes,d,l.input_fingerprint):Pi(l.status,l.reason_codes,d,l.input_fingerprint);let u;try{u=Ts()}catch{return Me(["policy_load_failed","missing_policy:composition_linear_conservative"],d,l.input_fingerprint)}const g=bi(r);if(!g)return Me(["policy_load_failed",`missing_policy:decision_point_${r}`],d,l.input_fingerprint);const y=Ca({weight:s.weightKg,height:s.heightCm,age:s.age,gender:s.gender,bodyFatPct:s.bodyFatPct,units:"metric"}),v=y.bmr,N=Sa[s.activityLevel],p=v*N,j=Ai(s.activityLevel,n),w=Ni(j,u),_=wi(w.total_variance_pct),S={display_point:Math.round(v),decision_point:Math.round(v),low:Math.round(v*_.lo_multiplier),high:Math.round(v*_.hi_multiplier)},P={display_point:Math.round(p),decision_point:Math.round(Mi(p,{low:p*_.lo_multiplier,high:p*_.hi_multiplier},r)),low:Math.round(p*_.lo_multiplier),high:Math.round(p*_.hi_multiplier)},A=P.decision_point-Math.abs(t),$={display_point:Math.round(A),decision_point:Math.round(A),low:Math.round(P.low-Math.abs(t)),high:Math.round(P.high-Math.abs(t))},me={bmr_formula:y.formula,bmr_point:v,activity_level:s.activityLevel,activity_multiplier:N,goal_deficit:t,goal_direction:r,sources:j,composition:u,composition_result:w,interval:_,decision_point_policy:{policy_id:g.policy_id,policy_version:g.policy_version,evidence_hash:g.evidence_hash}}
291,O=We(),pe=Di(n,O.status);return{envelope:l,bmr:S,tdee:P,target_calories:$,show_range:ki(P.low,P.high),trace:me,calibration:O,versions:{bounds_engine:ce,policy_version:V,manifest_hash:d},refinement_suggestions:pe}}const Ei="1.0.0",Ti={policy_id:"macro_kcal_per_gram_4_4_9",policy_version:"0.0.0-internal"},Li={protein:4,carbs:4,fat:9},zi=2;function Ae(s){return typeof s=="number"&&Number.isFinite(s)&&s>=0&&s<=100}function Fi(s){const i=[];if((!Ae(s.protein)||!Ae(s.carbs)||!Ae(s.fat))&&i.push("invalid_percent_value"),i.length===0){const n=s.protein+s.carbs+s.fat;Math.abs(n-100)>zi&&i.push("invalid_percent_sum")}return{valid:i.length===0,reason_codes:i}}async function Ri(s,i={}){const{checkIdempotence:n=!1,existingFingerprint:t}=i,r=new Date().toISOString(),c={evaluator_version:Ei,policy_version:V,evaluated_at:r},a={low:0,high:0,display_point:0,decision_point:0};if(!s)return{envelope:{...c,status:"skipped_dependency_unavailable",reason_codes:["missing_metabolic_bounds"],input_fingerprint:""},input_references:{metabolic_bounds_fingerprint:"",calorie_bounds_snapshot:a,macro_percentages:{protein:0,carbs:0,fat:0}}};const{caloriesBounds:m,metabolicBoundsFingerprint:o,macroPercentages:d}=s;if(m.low<=0||m.high<=0)return{envelope:{...c,status:"skipped_dependency_unavailable",reason_codes:["metabolic_bounds_not_ready"],input_fingerprint:""},input_references:{metabolic_bounds_fingerprint:o,calorie_bounds_snapshot:m,macro_percentages:d}};const{protein:l,carbs:u,fat:g}=d;if(l===void 0||u===void 0||g===void 0||l===null||u===null||g===null)return{envelope:{...c,status:"skipped_dependency_unavailable",reason_codes:["missing_macro_percentages"],input_fingerprint:""},input_references:{metabolic_bounds_fingerprint:o,calorie_bounds_snapshot:m,macro_percentages:{protein:0,carbs:0,fat:0}}};const y=Fi(d);if(!y.valid)return{envelope:{...c,status:"failed",reason_codes:y.reason_codes,input_fingerprint:""},input_references:{metabolic_bounds_fingerprint:o,calorie_bounds_snapshot:m,macro_percentages:d}};const v=JSON.stringify({metabolic_bounds_fp:o,calorie_bounds:{low:m.low,high:m.high,display_point:m.display_point,decision_point:m.decision_point},macro_pcts:{protein:l,carbs:u,fat:g},macro_policy:Ti,policy_version:V}),N=await Fa(v);if(n&&t&&N===t)return{envelope:{...c,status:"skipped_not_needed",reason_codes:["up_to_date"],input_fingerprint:N},input_references:{metabolic_bounds_fingerprint:o,calorie_bounds_snapshot:{low:m.low,high:m.high,display_point:m.display_point,decision_point:m.decision_point},macro_percentages:{protein:l,carbs:u,fat:g}}};const p=De(m,l,"protein"),j=De(m,u,"carbs"),w=De(m,g,"fat");return{envelope:{...c,status:"ready",reason_codes:[],input_fingerprint:N},result:{protein:p,carbs:j,fat:w},input_references:{metabolic_bounds_fingerprint:o,calorie_bounds_snapshot:{low:m.low,high:m.high,display_point:m.display_point,decision_point:m.decision_point},macro_percentages:{protein:l,carbs:u,fat:g}}}}function De(s,i,n){const t=Li[n],r=c=>Math.round(i/100*c/t);return{low:r(s.low),high:r(s.high),display_point:r(s.display_point),decision_point:r(s.decision_point)}}const Oi={1:"Basic Information",2:"Body Measurements",3:"Activity & Goals",4:"Review & Apply"},Bi={"weight-loss":{label:"Lose Weight",icon:bs,description:"Create a caloric deficit"},maintenance:{label:"Maintain",icon:ua,description:"Keep weight stable"},"muscle-gain":{label:"Build Muscle",icon:pa,description:"Slight surplus for growth"}},Vi={units:"metric",age:30,gender:"male",height:175,weight:75,bodyFatPct:void 0,activityLevel:"moderate",goal:"maintenance",targetDeficit:500,profileId:"balanced"};function He({open:s,onOpenChange:i}){const{data:n}=G(),t=rs(),[r,c]=b.useState(1),[a,m]=b.useState(()=>{const p=n?.metabolicProfile;return p?{units:p.units,age:p.age,gender:p.gender,height:p.height,weight:p.weight,bodyFatPct:p.bodyFatPct,activityLevel:p.activityLevel,goal:p.goal,targetDeficit:p.targetDeficit??500,profileId:p.profileId}:Vi}),o=b.useMemo(()=>{try{const{weightKg:p,heightCm:j}=qe(a.weight,a.height,a.units);let w=0;return a.goal==="weight-loss"?w=a.targetDeficit:a.goal==="muscle-gain"&&(w=-250),Pa({weight:p,height:j,age:a.age,gender:a.gender,bodyFatPct:a.bodyFatPct,units:"metric"},a.activityLevel,{targetDeficit:w,profileId:a.profileId})}
291catch(p){return console.error("[MetabolicGoalsWizard] Calculation error:",p),null}},[a]),d=b.useCallback(p=>{m(j=>({...j,...p}))},[]),l=b.useCallback(p=>{if(p===a.units)return;const j=Ma(a.height,a.units,p),w=Aa(a.weight,a.units,p,p==="metric"?1:0);d({units:p,height:j,weight:p==="metric"?w:Math.round(w)})},[a.units,a.height,a.weight,d]),u=b.useMemo(()=>{switch(r){case 1:return a.age>=18&&a.age<=100;case 2:return a.height>0&&a.weight>0;case 3:return!0;case 4:return o!==null;default:return!1}},[r,a,o]),g=()=>{r<4&&c(p=>p+1)},y=()=>{r>1&&c(p=>p-1)},v=async()=>{if(!o)return;const{weightKg:p,heightCm:j}=qe(a.weight,a.height,a.units),w=new Date().toISOString(),_={version:Js,updated_at:w,units:a.units,age:a.age,gender:a.gender,height:a.height,weight:a.weight,bodyFatPct:a.bodyFatPct,activityLevel:a.activityLevel,goal:a.goal,targetDeficit:a.goal==="weight-loss"?a.targetDeficit:void 0,profileId:a.profileId},S=Math.round(o.tdee.tdee);let P,A;a.goal==="weight-loss"?(A=a.targetDeficit,P=S-A):a.goal==="muscle-gain"?(A=250,P=S+A):(A=0,P=S);const $={version:qs,calculated_at:w,bmr_kcal:Math.round(o.bmr.bmr),tdee_kcal:S,target_calories_kcal:P,protein_g_recommended:Math.round(o.recommendations.proteinGrams),estimated_weekly_change_kg:o.recommendations.estimatedWeeklyLoss,macros:{protein_g:o.macros.protein,carbs_g:o.macros.
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0?"self_reported":"not_provided",goalDeficit:A,goalDirection:pe,goalsEnabled:!0,checkIdempotence:!0,existingFingerprint:Ce}),h=f.envelope.status==="skipped_not_needed"&&f.envelope.reason_codes.includes("up_to_date"),k=await Ri(f.envelope.status==="ready"?{caloriesBounds:f.target_calories,metabolicBoundsFingerprint:f.envelope.input_fingerprint,macroPercentages:{protein:O.protein.percentage,carbs:O.carbs.percentage,fat:O.fat.percentage}}:null);try{const M=U.nutrition_goals,I={...U,metabolic_profile:_,metabolic_snapshot:$,nutrition_goals:{...M,...O},metabolic_macro_bounds:k};h||(I.metabolic_bounds=f),await t.mutateAsync({targets:I}),L.success(T.METABOLIC.GOALS_CALCULATED.title),i(!1)}catch(M){L.error(M instanceof Error?M.message:T.METABOLIC.SAVE_FAILED.title)}},N=js(a.profileId);return e.jsx(cs,{open:s,onOpenChange:i,children:e.jsxs(os,{size:"default",className:"max-h-[90vh] flex flex-col p-0",children:[e.jsxs(ls,{className:"p-space-lg pb-0",children:[e.jsxs(ds,{className:"flex 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