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0,ip_address:void 0,username:void 0},this._session&&Hn(this._session,{user:t}),this._notifyScopeListeners(),this}getUser(){return this._user}setConversationId(t){return this._conversationId=t||void 0,this._notifyScopeListeners(),this}setTags(t){return this._tags={...this._tags,...t},this._notifyScopeListeners(),this}setTag(t,n){return this.setTags({[t]:n})}setAttributes(t){return this._attributes={...this._attributes,...t},this._notifyScopeListeners(),this}setAttribute(t,n){return this.setAttributes({[t]:n})}removeAttribute(t){return t in this._attributes&&(delete this._attributes[t],this._notifyScopeListeners()),this}setExtras(t){return this._extra={...this._extra,...t},this._notifyScopeListeners(),this}setExtra(t,n){return this._extra={...this._extra,[t]:n},this._notifyScopeListeners(),this}setFingerprint(t){return this._fingerprint=t,this._notifyScopeListeners(),this}setLevel(t){return this._level=t,this._notifyScopeListeners(),this}setTransactionName(t){return this._transactionName=t,this._notifyScopeListeners(),this}setContext(t,n){return n===null?delete this._contexts[t]:this._contexts[t]=n,this._notifyScopeListeners(),this}setSession(t){return t?this._session=t:delete this._session,this._notifyScopeListeners(),this}getSession(){return this._session}update(t){if(!t)return this;const n=typeof t=="function"?t(this):t,r=n instanceof vt?n.getScopeData():vr(n)?t:void 0,{tags:s,attributes:o,extra:i,user:c,contexts:l,level:u,fingerprint:d=[],propagationContext:p,conversationId:m}=r||{};return this._tags={...this._tags,...s},this._attributes={...this._attributes,...o},this._extra={...this._extra,...i},this._contexts={...this._contexts,...l},c&&Object.keys(c).length&&(this._user=c),u&&(this._level=u),d.length&&(this._fingerprint=d),p&&(this._propagationContext=p),m&&(this._conversationId=m),this}clear(){return this._breadcrumbs=[],this._tags={},this._attributes={},this._extra={},this._user={},this._contexts={},this._level=void 0,this._transactionName=void 0,this._fingerprint=void 0,this._session=void 0,this._conversationId=void 0,Tr(this,void 0),this._attachments=[],this.setPropagationContext({traceId:Ut(),sampleRand:qt()}),this._notifyScopeListeners(),this}addBreadcrumb(t,n){var o;const r=typeof n=="number"?n:yg;if(r<=0)return this;const s={timestamp:Cn(),...t,message:t.message?Wa(t.message,2048):t.message};return this._breadcrumbs.push(s),this._breadcrumbs.length>r&&(this._breadcrumbs=this._breadcrumbs.slice(-r),(o=this._client)==null||o.recordDroppedEvent("buffer_overflow","log_item")),this._notifyScopeListeners(),this}getLastBreadcrumb(){return this._breadcrumbs[this._breadcrumbs.length-1]}clearBreadcrumbs(){return this._breadcrumbs=[],this._notifyScopeListeners(),this}addAttachment(t){return this._attachments.push(t),this}clearAttachments(){return this._attachments=[],this}getScopeData(){return{breadcrumbs:this._breadcrumbs,attachments:this._attachments,contexts:this._contexts,tags:this._tags,attributes:this._attributes,extra:this._extra,user:this._user,level:this._level,fingerprint:this._fingerprint||[],eventProcessors:this._eventProcessors,propagationContext:this._propagationContext,sdkProcessingMetadata:this._sdkProcessingMetadata,transactionName:this._transactionName,span:ao(this),conversationId:this._conversationId}}setSDKProcessingMetadata(t){return this._sdkProcessingMetadata=Yr(this._sdkProcessingMetadata,t,2),this}setPropagationContext(t){return this._propagationContext=t,this}getPropagationContext(){return this._propagationContext}captureException(t,n){const r=(n==null?void 0:n.event_id)||lt();if(!this._client)return q&&G.warn("No client configured on scope - will not capture exception!"),r;const s=new Error("Sentry syntheticException");return this._client.captureException(t,{originalException:t,syntheticException:s,...n,event_id:r},this),r}captureMessage(t,n,r){const s=(r==null?void 0:r.event_id)||lt();if(!this._client)return q&&G.warn("No client configured on scope - will not capture message!"),s;const o=(r==null?void 0:r.syntheticException)??new Error(t);return this._client.captureMessage(t,n,{originalException:t,syntheticException:o,...r,event_id:s},this),s}

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e.publicKey&&(n.sentry_key=e.publicKey),t&&(n.sentry_client=`${t.name}/${t.version}`),new URLSearchParams(n).toString()}function p0(e,t,n){return t||`${u0(e)}?${d0(e,n)}`}function m0(e,t){const n=cp(e);if(!n)return"";const r=`${kp(n)}embed/error-page/`;let s=`dsn=${An(n)}`;for(const o in t)if(o!=="dsn"&&o!=="onClose")if(o==="user"){const i=t.user;if(!i)continue;i.name&&(s+=`&name=${encodeURIComponent(i.name)}`),i.email&&(s+=`&email=${encodeURIComponent(i.email)}`)}else s+=`&${encodeURIComponent(o)}=${encodeURIComponent(t[o])}`;return`${r}?${s}`}const zl=[];function f0(e){const t={};return e.forEach(n=>{const{name:r}=n,s=t[r];s&&!s.isDefaultInstance&&n.isDefaultInstance||(t[r]=n)}),Object.values(t)}function h0(e){const t=e.defaultIntegrations||[],n=e.integrations;t.forEach(s=>{s.isDefaultInstance=!0});let r;if(Array.isArray(n))r=[...t,...n];else if(typeof n=="function"){const s=n(t);r=Array.isArray(s)?s:[s]}else r=t;return f0(r)}function g0(e,t){const n={};return t.forEach(r=>{r!=null&&r.beforeSetup&&r.beforeSetup(e)}),t.forEach(r=>{r&&Np(e,r,n)}),n}function Gl(e,t){for(const n of t)n!=null&&n.afterAllSetup&&n.afterAllSetup(e)}function Np(e,t,n){if(n[t.name]){q&&G.log(`Integration skipped because it was already installed: ${t.name}`);return}if(n[t.name]=t,!zl.includes(t.name)&&typeof t.setupOnce=="function"&&(t.setupOnce(),zl.push(t.name)),t.setup&&typeof t.setup=="function"&&t.setup(e),typeof t.preprocessEvent=="function"){const r=t.preprocessEvent.bind(t);e.on("preprocessEvent",(s,o)=>r(s,o,e))}if(typeof t.processEvent=="function"){const r=t.processEvent.bind(t),s=Object.assign((o,i)=>r(o,i,e),{id:t.name});e.addEventProcessor(s)}q&&G.log(`Integration installed: ${t.name}`)}function y0(e){return[{type:"log",item_count:e.length,content_type:"application/vnd.sentry.items.log+json"},{items:e}]}function _0(e,t,n,r){const s={};return t!=null&&t.sdk&&(s.sdk={name:t.sdk.name,version:t.sdk.version}),n&&r&&(s.dsn=An(r)),In(s,[y0(e)])}function ti(e,t){const n=t??x0(e)??[];if(n.length===0)return;const r=e.getOptions(),s=_0(n,r._metadata,r.tunnel,e.getDsn());jp().set(e,[]),e.emit("flushLogs"),e.sendEnvelope(s)}function x0(e){return jp().get(e)}function jp(){return qn("clientToLogBufferMap",()=>new WeakMap)}function b0(e){return[{type:"trace_metric",item_count:e.length,content_type:"application/vnd.sentry.items.trace-metric+json"},{items:e}]}function w0(e,t,n,r){const s={};return t!=null&&t.sdk&&(s.sdk={name:t.sdk.name,version:t.sdk.version}),n&&r&&(s.dsn=An(r)),In(s,[b0(e)])}function Lp(e,t){const n=t??S0(e)??[];if(n.length===0)return;const r=e.getOptions(),s=w0(n,r._metadata,r.tunnel,e.getDsn());Pp().set(e,[]),e.emit("flushMetrics"),e.sendEnvelope(s)}function S0(e){return Pp().get(e)}function Pp(){return qn("clientToMetricBufferMap",()=>new WeakMap)}function Op(e){return typeof e=="object"&&typeof e.unref=="function"&&e.unref(),e}const ec=Symbol.for("SentryBufferFullError");function tc(e=100){const t=new Set;function n(){return t.size<e}function r(i){t.delete(i)}function s(i){if(!n())return Qi(ec);const c=i();return t.add(c),c.then(()=>r(c),()=>r(c)),c}function o(i){if(!t.size)return Qr(!0);const c=Promise.allSettled(Array.from(t)).then(()=>!0);if(!i)return c;const l=[c,new Promise(u=>Op(setTimeout(()=>u(!1),i)))];return Promise.race(l)}return{get $(){return Array.from(t)},add:s,drain:o}}const E0=60*1e3;function v0(e,t=Vr()){const n=parseInt(`${e}`,10);if(!isNaN(n))return n*1e3;const r=Date.parse(`${e}`);return isNaN(r)?E0:r-t}function T0(e,t){return e[t]||e.all||0}function C0(e,t,n=Vr()){return T0(e,t)>n}function A0(e,{statusCode:t,headers:n},r=Vr()){const s={...e},o=n==null?void 0:n["x-sentry-rate-limits"],i=n==null?void 0:n["retry-after"];if(o)for(const c of o.trim().split(",")){const[l,u,,,d]=c.split(":",5),p=parseInt(l,10),m=(isNaN(p)?60:p)*1e3;if(!u)s.all=r+m;else for(const g of u.split(";"))g==="metric_bucket"?(!d||d.split(";").includes("custom"))&&(s[g]=r+m):s[g]=r+m}else i?s.all=r+v0(i,r):t===429&&(s.all=r+60*1e3);return s}const Dp=64;function I0(e,t,n=tc(e.bufferSize||Dp)){let r={};const s=i=>n.drain(i);function o(i){const c=[];if(Xa(i,(p,m)=>{const g=Il(m);C0(r,g)?e.recordDroppedEvent("ratelimit_backoff",g):c.push(p)}),c.length===0)return Promise.resolve({});const l=In(i[0],c),u=p=>{if(fy(l,["client_report"])){q&&G.warn(`Dropping client report. Will not send outcomes (reason: ${p}).`);return}Xa(l,(m,g)=>{e.recordDroppedEvent(p,Il(g))})},d=()=>t({body:hy(l)}).then(p=>p.statusCode===413?(q&&G.error("Sentry responded with status code 413. Envelope was discarded due to exceeding size limits."),u("send_error"),p):(q&&p.statusCode!==void 0&&(p.statusCode<200||p.statusCode>=300)&&G.warn(`Sentry responded with status code ${p.statusCode} to sent event.`),r=A0(r,p),p),p=>{throw u("network_error"),q&&G.error("Encountered error running transport request:",p),p});return n.add(d).then(p=>p,p=>{if(p===ec)return q&&G.error("Skipped sending event because buffer is full."),u("queue_overflow"),Promise.resolve({});throw p})}return{send:o,flush:s}}function R0(e,t,n){const r=[{type:"client_report"},{timestamp:Cn(),discarded_events:e}];return In(t?{dsn:t}:{},[r])}function Mp(e){const t=[];e.message&&t.push(e.message);try{const n=e.exception.values[e.exception.values.length-1];n!=null&&n.value&&(t.push(n.value),n.type&&t.push(`${n.type}: ${n.value}`))}catch{}return t}function k0(e){var l;const{trace_id:t,parent_span_id:n,span_id:r,status:s,origin:o,data:i,op:c}=((l=e.contexts)==null?void 0:l.trace)??{};return{data:i??{},description:e.transaction,op:c,parent_span_id:n,span_id:r??"",start_timestamp:e.start_timestamp??0,status:s,timestamp:e.timestamp,trace_id:t??"",origin:o,profile_id:i==null?void 0:i[Ki],exclusive_time:i==null?void 0:i[Zn],measurements:e.measurements,is_segment:!0}}function N0(e){return{type:"transaction",timestamp:e.timestamp,start_timestamp:e.start_timestamp,transaction:e.description,contexts:{trace:{trace_id:e.trace_id,span_id:e.span_id,parent_span_id:e.parent_span_id,op:e.op,status:e.status,origin:e.origin,data:{...e.data,...e.profile_id&&{[Ki]:e.profile_id},...e.exclusive_time&&{[Zn]:e.exclusive_time}}}},measurements:e.measurements}}const Hl="Not capturing exception because it's already been captured.",Wl="Discarded session because of missing or non-string release",Up=Symbol.for("SentryInternalError"),Fp=Symbol.for("SentryDoNotSendEventError"),j0=5e3;function Bs(e){return{message:e,[Up]:!0}}function ua(e){return{message:e,[Fp]:!0}}function Jl(e){return!!e&&typeof e=="object"&&Up in e}function Vl(e){return!!e&&typeof e=="object"&&Fp in e}

10function Yl(e,t,n,r,s){let o=0,i,c=!1;e.on(n,()=>{o=0,clearTimeout(i),c=!1}),e.on(t,l=>{o+=r(l),o>=8e5?s(e):c||(c=!0,i=Op(setTimeout(()=>{s(e)},j0)))}),e.on("flush",()=>{s(e)})}class L0{constructor(t){var r,s,o;if(this._options=t,this._integrations={},this._numProcessing=0,this._outcomes={},this._hooks={},this._eventProcessors=[],this._promiseBuffer=tc(((r=t.transportOptions)==null?void 0:r.bufferSize)??Dp),t.dsn?this._dsn=cp(t.dsn):q&&G.warn("No DSN provided, client will not send events."),this._dsn){const i=p0(this._dsn,t.tunnel,t._metadata?t._metadata.sdk:void 0);this._transport=t.transport({tunnel:this._options.tunnel,recordDroppedEvent:this.recordDroppedEvent.bind(this),...t.transportOptions,url:i})}this._options.enableLogs=this._options.enableLogs??((s=this._options._experiments)==null?void 0:s.enableLogs),this._options.enableLogs&&Yl(this,"afterCaptureLog","flushLogs",M0,ti),(this._options.enableMetrics??((o=this._options._experiments)==null?void 0:o.enableMetrics)??!0)&&Yl(this,"afterCaptureMetric","flushMetrics",D0,Lp)}captureException(t,n,r){const s=lt();if(_l(t))return q&&G.log(Hl),s;const o={event_id:s,...n};return this._process(()=>this.eventFromException(t,o).then(i=>this._captureEvent(i,o,r)).then(i=>i),"error"),o.event_id}captureMessage(t,n,r,s){const o={event_id:lt(),...r},i=Wi(t)?t:String(t),c=zn(t),l=c?this.eventFromMessage(i,n,o):this.eventFromException(t,o);return this._process(()=>l.then(u=>this._captureEvent(u,o,s)),c?"unknown":"error"),o.event_id}captureEvent(t,n,r){const s=lt();if(n!=null&&n.originalException&&_l(n.originalException))return q&&G.log(Hl),s;const o={event_id:s,...n},i=t.sdkProcessingMetadata||{},c=i.capturedSpanScope,l=i.capturedSpanIsolationScope,u=ql(t.type);return this._process(()=>this._captureEvent(t,o,c||r,l),u),o.event_id}captureSession(t){this.sendSession(t),Hn(t,{init:!1})}getDsn(){return this._dsn}getOptions(){return this._options}getSdkMetadata(){return this._options._metadata}getTransport(){return this._transport}async flush(t){const n=this._transport;if(!n)return!0;this.emit("flush");const r=await this._isClientDoneProcessing(t),s=await n.flush(t);return r&&s}async close(t){ti(this);const n=await this.flush(t);return this.getOptions().enabled=!1,this.emit("close"),n}getEventProcessors(){return this._eventProcessors}addEventProcessor(t){this._eventProcessors.push(t)}init(){(this._isEnabled()||this._options.integrations.some(({name:t})=>t.startsWith("Spotlight")))&&this._setupIntegrations()}getIntegrationByName(t){return this._integrations[t]}addIntegration(t){const n=this._integrations[t.name];!n&&t.beforeSetup&&t.beforeSetup(this),Np(this,t,this._integrations),n||Gl(this,[t])}sendEvent(t,n={}){this.emit("beforeSendEvent",t,n);let r=Ey(t,this._dsn,this._options._metadata,this._options.tunnel);for(const s of n.attachments||[])r=my(r,_y(s));this.sendEnvelope(r).then(s=>this.emit("afterSendEvent",t,s))}sendSession(t){const{release:n,environment:r=Xi}=this._options;if("aggregates"in t){const o=t.attrs||{};if(!o.release&&!n){q&&G.warn(Wl);return}o.release=o.release||n,o.environment=o.environment||r,t.attrs=o}else{if(!t.release&&!n){q&&G.warn(Wl);return}t.release=t.release||n,t.environment=t.environment||r}this.emit("beforeSendSession",t);const s=Sy(t,this._dsn,this._options._metadata,this._options.tunnel);this.sendEnvelope(s)}recordDroppedEvent(t,n,r=1){if(this._options.sendClientReports){const s=`${t}:${n}`;q&&G.log(`Recording outcome: "${s}"${r>1?` (${r} times)`:""}`),this._outcomes[s]=(this._outcomes[s]||0)+r}}on(t,n){const r=this._hooks[t]=this._hooks[t]||new Set,s=(...o)=>n(...o);return r.add(s),()=>{r.delete(s)}}emit(t,...n){const r=this._hooks[t];r&&r.forEach(s=>s(...n))}async sendEnvelope(t){if(this.emit("beforeEnvelope",t),this._isEnabled()&&this._transport)try{return await this._transport.send(t)}catch(n){return q&&G.error("Error while sending envelope:",n),{}}return q&&G.error("Transport disabled"),{}}dispose(){}_setupIntegrations(){const{integrations:t}=this._options;this._integrations=g0(this,t),Gl(this,t)}_updateSessionFromEvent(t,n){var l,u;let r=n.level==="fatal",s=!1;const o=(l=n.exception)==null?void 0:l.values;if(o){s=!0,r=!1;for(const d of o)if(((u=d.mechanism)==null?void 0:u.handled)===!1){r=!0;break}}const i=t.status==="ok";(i&&t.errors===0||i&&r)&&(Hn(t,{...r&&{status:"crashed"},errors:t.errors||Number(s||r)}),this.captureSession(t))}async _isClientDoneProcessing(t){let n=0;for(;!t||n<t;){if(await new Promise(r=>setTimeout(r,1)),!this._numProcessing)return!0;n++}return!1}_isEnabled(){return this.getOptions().enabled!==!1&&this._transport!==void 0}_prepareEvent(t,n,r,s){const o=this.getOptions(),i=Object.keys(this._integrations);return!n.integrations&&(i!=null&&i.length)&&(n.integrations=i),this.emit

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24Error!"),f.createElement("h3",{style:{fontStyle:"italic"}},t),n?f.createElement("pre",{style:s},n):null,i)}var HT=f.createElement(GT,null),sf=class extends f.Component{constructor(e){super(e),this.state={location:e.location,revalidation:e.revalidation,error:e.error}}static getDerivedStateFromError(e){return{error:e}}static getDerivedStateFromProps(e,t){return t.location!==e.location||t.revalidation!=="idle"&&e.revalidation==="idle"?{error:e.error,location:e.location,revalidation:e.revalidation}:{error:e.error!==void 0?e.error:t.error,location:t.location,revalidation:e.revalidation||t.revalidation}}componentDidCatch(e,t){this.props.onError?this.props.onError(e,t):console.error("React Router caught the following error during render",e)}render(){let e=this.state.error;if(this.context&&typeof e=="object"&&e&&"digest"in e&&typeof e.digest=="string"){const n=FT(e.digest);n&&(e=n)}let t=e!==void 0?f.createElement(_t.Provider,{value:this.props.routeContext},f.createElement(gc.Provider,{value:e,children:this.props.component})):this.props.children;return this.context?f.createElement(WT,{error:e},t):t}};sf.contextType=LT;var va=new WeakMap;function WT({children:e,error:t}){let{basename:n}=f.useContext(ot);if(typeof t=="object"&&t&&"digest"in t&&typeof t.digest=="string"){let r=UT(t.digest);if(r){let s=va.get(t);if(s)throw s;let o=Xm(r.location,n);if(Km&&!va.get(t))if(o.isExternal||r.reloadDocument)window.location.href=o.absoluteURL||o.to;else{const i=Promise.resolve().then(()=>window.__reactRouterDataRouter.navigate(o.to,{replace:r.replace}));throw va.set(t,i),i}return f.createElement("meta",{httpEquiv:"refresh",content:`0;url=${o.absoluteURL||o.to}`})}}return e}function JT({routeContext:e,match:t,children:n}){let r=f.useContext(sr);return r&&r.static&&r.staticContext&&(t.route.errorElement||t.route.ErrorBoundary)&&(r.staticContext._deepestRenderedBoundaryId=t.route.id),f.createElement(_t.Provider,{value:e},n)}function VT(e,t=[],n=null,r=null,s=null){if(e==null){if(!n)return null;if(n.errors)e=n.matches;else if(t.length===0&&!n.initialized&&n.matches.length>0)e=n.matches;else return null}let o=e,i=n==null?void 0:n.errors;if(i!=null){let d=o.findIndex(p=>p.route.id&&(i==null?void 0:i[p.route.id])!==void 0);Ae(d>=0,`Could not find a matching route for errors on route IDs: ${Object.keys(i).join(",")}`),o=o.slice(0,Math.min(o.length,d+1))}let c=!1,l=-1;if(n)for(let d=0;d<o.length;d++){let p=o[d];if((p.route.HydrateFallback||p.route.hydrateFallbackElement)&&(l=d),p.route.id){let{loaderData:m,errors:g}=n,_=p.route.loader&&!m.hasOwnProperty(p.route.id)&&(!g||g[p.route.id]===void 0);if(p.route.lazy||_){c=!0,l>=0?o=o.slice(0,l+1):o=[o[0]];break}}}let u=n&&r?(d,p)=>{var m,g;r(d,{location:n.location,params:((g=(m=n.matches)==null?void 0:m[0])==null?void 0:g.params)??{},unstable_pattern:NT(n.matches),errorInfo:p})}:void 0;return o.reduceRight((d,p,m)=>{let g,_=!1,h=null,y=null;n&&(g=i&&p.route.id?i[p.route.id]:void 0,h=p.route.errorElement||HT,c&&(l<0&&m===0?(of("route-fallback",!1,"No `HydrateFallback` element provided to render during initial hydration"),_=!0,y=null):l===m&&(_=!0,y=p.route.hydrateFallbackElement||null)));let b=t.concat(o.slice(0,m+1)),x=()=>{let w;return g?w=h:_?w=y:p.route.Component?w=f.createElement(p.route.Component,null):p.route.element?w=p.route.element:w=d,f.createElement(JT,{match:p,routeContext:{outlet:d,matches:b,isDataRoute:n!=null},children:w})};return n&&(p.route.ErrorBoundary||p.route.errorElement||m===0)?f.createElement(sf,{location:n.location,revalidation:n.revalidation,component:h,error:g,children:x(),routeContext:{outlet:null,matches:b,isDataRoute:!0},onError:u}):x()},null)}function yc(e){return`${e} must be used within a data router.  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2607a2.25 2.25 0 1 0 0 2.186m0-2.186c.18.324.283.696.283 1.093s-.103.77-.283 1.093m0-2.186 9.566-5.314m-9.566 7.5 9.566 5.314m0 0a2.25 2.25 0 1 0 3.935 2.186 2.25 2.25 0 0 0-3.935-2.186Zm0-12.814a2.25 2.25 0 1 0 3.933-2.185 2.25 2.25 0 0 0-3.933 2.185Z"})}),ue=M.forwardRef(({variant:e="primary",size:t="md",loading:n=!1,leftIcon:r,rightIcon:s,children:o,className:i="",disabled:c,as:l="button",...u},d)=>{const p="inline-flex items-center justify-center font-semibold transition-all focus:outline-none focus:ring-2 focus:ring-offset-2",m={primary:"iconic-btn-primary text-white focus:ring-[var(--color-accent)]",secondary:"bg-[var(--bg-secondary)] border border-[var(--border-default)] text-[var(--text-primary)] hover:bg-[var(--bg-tertiary)] focus:ring-[var(--color-accent)]",danger:"bg-red-600 text-white hover:bg-red-700 focus:ring-red-500",ghost:"text-[var(--text-secondary)] hover:bg-[var(--bg-tertiary)] focus:ring-[var(--color-accent)]",outline:"bg-transparent border border-[var(--border-default)] text-[var(--text-secondary)] hover:bg-[var(--bg-tertiary)] focus:ring-[var(--color-accent)]"},g={sm:"px-3 py-2 text-sm rounded-md",md:"px-4 py-2 text-sm rounded-md",lg:"px-6 py-3 text-base rounded-md"};return a.jsxs(l,{ref:d,className:`${p} ${m[e]} ${g[t]} ${i} ${c||n?"opacity-60 cursor-not-allowed":""}`,disabled:c||n,...u,children:[n&&a.jsx(Mc,{className:"mr-2 h-4 w-4"}),r&&a.jsx("span",{className:"mr-2",children:r}),o,s&&a.jsx("span",{className:"ml-2",children:s})]})});ue.displayName="Button";class F extends f.Component{constructor(n){super(n);Le(this,"handleReset",()=>{this.setState({hasError:!1,error:void 0,errorInfo:void 0})});this.state={hasError:!1}}static getDerivedStateFromError(n){return{hasError:!0,error:n}}componentDidCatch(n,r){var o,i,c,l,u;console.error("Error Boundary caught an error:",n,r),this.setState({errorInfo:r}),(i=(o=this.props).onError)==null||i.call(o,n,r),(n.name==="ChunkLoadError"||(c=n.message)!=null&&c.includes("Failed to fetch dynamically imported module")||(l=n.message)!=null&&l.includes("Loading chunk")||(u=n.message)!=null&&u.includes("Importing a module script failed"))&&!sessionStorage.getItem("cd_chunk_reload_attempted")&&(sessionStorage.setItem("cd_chunk_reload_attempted","1"),window.location.reload())}render(){return this.state.hasError?this.props.fallback?this.props.fallback:a.jsxs("div",{style:{padding:"2rem",textAlign:"center",backgroundColor:"#f8f9fa",borderRadius:"8px",border:"1px solid #dee2e6",margin:"1rem"},children:[a.jsx("h2",{style:{color:"#dc3545",marginBottom:"1rem"},children:"Something went wrong"}),a.jsx("p",{style:{color:"#6c757d",marginBottom:"1.5rem"},children:"We're sorry for the inconvenience. Please try refreshing the page or contact support if the problem persists."}),a.jsx(ue,{onClick:this.handleReset,variant:"primary",size:"md",children:"Try Again"}),!1]}):this.props.children}}class ed extends f.Component{constructor(t){super(t),this.state={hasError:!1}}static getDerivedStateFromError(t){return{hasError:!0,error:t}}componentDidCatch(t,n){var r,s;console.error("Feature Error Boundary:",t),(s=(r=this.props).onError)==null||s.call(r,t,n)}render(){return this.state.hasError?this.props.fallback||a.jsx("div",{style:{padding:"1rem",textAlign:"center",color:"#6c757d"},children:a.jsx("p",{children:"Unable to load this feature. Please refresh or try again later."})}):this.props.children}}const to=({size:e="md",className:t="",showText:n=!0,href:r="https://careerdiary.io/"})=>{const o={sm:{gap:"gap-2",textSize:"text-lg"},md:{gap:"gap-2.5",textSize:"text-xl"},lg:{gap:"gap-3",textSize:"text-2xl"}}[e],i=a.jsx("div",{className:`flex items-center ${o.gap} ${t}`,children:n&&a.jsxs("span",{className:`font-bold ${o.textSize} text-[var(--text-primary)] tracking-tight`,children:["CareerDiary",a.jsx("span",{className:"text-[var(--color-accent)]",children:".io"})]})});return r?a.jsx("a",{href:r,className:"inline-block hover:opacity-80 transition-opacity cursor-pointer","aria-label":"Go to CareerDiary.io homepage",children:i}):i},bt={fullName:"",contactInfo:"",contactDetails:{email:""},summary:"",experience:[],education:[],skills:[]},Ue={FLAGSHIP:"gemini-2.5-flash",STANDARD:"gemini-2.5-flash",LITE:"gemini-2.5-flash-lite"},mA={tailorResume:Ue.FLAGSHIP,generateCoverLetter:Ue.FLAGSHIP,chatWithProfile:Ue.FLAGSHIP,chatWithResume:Ue.FLAGSHIP,chatWithCoverLetter:Ue.FLAGSHIP,enrichAccomplishments:Ue.STANDARD,extractAccomplishments:Ue.STANDARD,generateApplicationSnippets:Ue.STANDARD,fetchJobDescriptionFromURL:Ue.LITE},an=e=>mA[e]||Ue.STANDARD,Ee=e=>e==null?"":typeof e!="string"?String(e).trim():e.trim(),fA=(e,t)=>

26{if(!e||typeof e!="string")return t;const n=e.trim();if(!n)return t;try{return JSON.parse(n)}catch(r){return console.error("JSON parse error:",r),t}},Bc=e=>{const t=Ee(e),n=/^```(?:json\n?)?([\s\S]+?)\n?```$/,r=t.match(n);if(r&&r[1])return Ee(r[1]);const s=/```json\n([\s\S]*?)\n```/,o=t.match(s);if(o&&o[1])return Ee(o[1]);const i=/```\n([\s\S]*?)\n```/,c=t.match(i);return c&&c[1]?Ee(c[1]):t},Ff=(e,t)=>{try{const n=Bc(e);return fA(n,t)}catch(n){return console.error("Failed to parse JSON from markdown:",n),t}},$f=(e,t)=>{const n=Ee(e),r=new RegExp(`<${t}>([\\s\\S]*)<\\/${t}>`,"i"),s=n.match(r);return s&&s[1]?Ee(s[1]):null},Bf=e=>$f(e,"cover_letter_update"),zf=(e,t)=>!e||typeof e!="object"?!1:t.every(n=>{const r=n in e;return r||console.warn(`Missing required field: ${n}`),r}),Gf=(e,t)=>{const n=Ff(e,{});if(!zf(n,t))throw new Error(`Invalid AI response structure. Missing required fields: ${t.join(", ")}`);return n},Hf=e=>{const t=e==null?void 0:e.finishReason;return!t||t==="STOP"?{isBlocked:!1}:{isBlocked:!0,reason:t,safetyRatings:e==null?void 0:e.safetyRatings}},zc=e=>{var r,s,o,i;const t=(r=e.candidates)==null?void 0:r[0],n=(i=(o=(s=t==null?void 0:t.content)==null?void 0:s.parts)==null?void 0:o[0])==null?void 0:i.text;if(!n){const c=Hf(t);throw c.isBlocked?(console.error(`Gemini response blocked. Reason: ${c.reason}`,c.safetyRatings),new Error(`The AI response was incomplete or blocked (${c.reason}). Please try modifying your input.`)):(console.error("Empty response from Gemini API:",e),new Error("Received an empty response from the AI. Please try again."))}return Ee(n)},hA=Object.freeze(Object.defineProperty({__proto__:null,checkResponseBlocking:Hf,extractCoverLetterUpdate:Bf,extractFromTag:$f,extractGeminiResponseText:zc,extractJsonFromMarkdown:Bc,parseAndValidateAIResponse:Gf,parseJsonFromMarkdown:Ff,validateJsonFields:zf},Symbol.toStringTag,{value:"Module"})),Un=new Map,Is=new Map,Gt=(...e)=>e.filter(t=>t!=null).join("|"),nt=e=>{if(e==null)return"0";const t=typeof e=="string"?e:String(e);if(t==="")return"0";let n=0;for(let r=0;r<t.length;r++)n=(n<<5)-n+t.charCodeAt(r),n=n&n;return n.toString(16)},Ht=e=>{try{const t=Un.get(e);return t?Date.now()>t.expiresAt?(Un.delete(e),null):t.value:null}catch(t){return console.error("Cache read error:",t),null}},Ct=(e,t,n=3600)=>{try{const r={value:t,expiresAt:Date.now()+n*1e3};if(Un.set(e,r),Un.size>100){const s=Un.keys().next().value;s&&Un.delete(s)}}catch(r){console.error("Cache write error:",r)}},cn=(e,t)=>{if(Is.has(e)){const s=Is.get(e);return{promise:s.promise,controller:s.controller}}const n=new AbortController,r=(async()=>{try{return await t(n)}finally{Is.delete(e)}})();return Is.set(e,{controller:n,promise:r}),{promise:r,controller:n}},wP=Object.freeze(Object.defineProperty({__proto__:null,getCache:Ht,getOrCreateInflightRequest:cn,hashString:nt,makeCacheKey:Gt,setCache:Ct},Symbol.toStringTag,{value:"Module"})),gA=e=>{const t=[];return e.experience.forEach(n=>{var r;(r=n.accomplishments)==null||r.forEach(s=>{[/(\d+(?:\.\d+)?)\s*%/g,/(\d+(?:\.\d+)?)\s*(ms|s|sec|min|minutes?|hours?|days?|weeks?|months?|years?)/gi,/\$\s*(\d+(?:\.\d+)?)\s*([KMB])?/gi,/(\d+(?:\.\d+)?)\s*[xX×]/g,/(\d+(?:\.\d+)?)\s*(users?|customers?|clients?|people|engineers?|developers?|members?|employees?)/gi,/team\s+of\s+(\d+)/gi,/(\d+)\s+(ahead|early|late)/gi,/(\d+)(?:\+)?\s+(new|additional)/gi].forEac

26h(i=>{let c;const l=new RegExp(i.source,i.flags);for(;(c=l.exec(s.description))!==null;)t.push({value:parseFloat(c[1]),unit:c[2]||"",context:s.description.substring(Math.max(0,c.index-30),Math.min(s.description.length,c.index+80))})})})}),t},vo=e=>{var t,n;return{companies:e.experience.map(r=>r.company).filter(Boolean),jobTitles:e.experience.map(r=>r.jobTitle).filter(Boolean),employmentDates:e.experience.map(r=>r.dates).filter(Boolean),metrics:gA(e),skills:e.skills||[],educationDegrees:((t=e.education)==null?void 0:t.map(r=>r.degree).filter(Boolean))||[],universities:((n=e.education)==null?void 0:n.map(r=>r.university).filter(Boolean))||[]}},Wf=e=>{const t=[`Companies (DO NOT MODIFY): ${e.companies.join(", ")}`,`Job Titles (DO NOT MODIFY): ${e.jobTitles.join(", ")}`,`Employment Dates (DO NOT MODIFY): ${e.employmentDates.join("; ")}`,`Skills (DO NOT ADD NEW ONES): ${e.skills.join(", ")}`];return e.metrics.length>0&&t.push(`Quantifiable Metrics (DO NOT INFLATE):
27${e.metrics.map(n=>`  - ${n.value}${n.unit} (context: "${n.context.substring(0,50)}...")`).join(`
28`)}`),t.join(`
29`)},yA=e=>{const t=[];return[/(\d+(?:\.\d+)?)\s*%/g,/\$\s*(\d+(?:\.\d+)?)/g,/(\d+(?:\.\d+)?)\s*x/gi,/(\d+(?:\.\d+)?)\s*(ms|s|min|hours?|days?|users?|customers?)/gi].forEac

29h(r=>{let s;for(;(s=r.exec(e))!==null;)t.push(parseFloat(s[1]))}),t},Ai=(e,t)=>{const n=[];if(!e||typeof e!="string")return console.warn("[FactValidation] Invalid tailoredResume input:",typeof e,e),{isValid:!1,issues:[{type:"company_mismatch",description:"Tailored resume is not a valid string",severity:"error"}]};const r=yA(e),s=t.metrics.map(c=>c.value);r.forEach(c=>{!s.some(u=>Math.abs(c-u)/Math.max(u,1)<.05)&&c>1&&n.push({type:"metric_inflation",description:`Number ${c} not found in source profile (possible inflation or invention)`,severity:"error"})});const o=t.companies.filter(c=>c&&typeof c=="string");if(o.length!==0){const c=e.toLowerCase();o.forEach(l=>{const u=String(l);c.includes(u.toLowerCase())||n.push({type:"company_mismatch",description:`Company "${u}" from source not found in tailored resume`,severity:"error"})})}const i=t.jobTitles.filter(c=>c&&typeof c=="string");if(i.length>0){const c=e.toLowerCase();i.forEach(l=>{const u=String(l);u.toLowerCase().split(/\s+/).every(m=>m.length<3||c.includes(m))||n.push({type:"title_change",description:`Job title "${u}" may have been significantly altered`,severity:"warning"})})}return{isValid:n.filter(c=>c.severity==="error").length===0,issues:n}};function ar(e){var r;if(!e)return nt("empty-profile");const t={experience:((r=e.experience)==null?void 0:r.map(s=>({company:s.company||"",jobTitle:s.jobTitle||"",location:s.location||"",dates:s.dates||"",accomplishments:(s.accomplishments||[]).map(o=>({id:o.id||"",description:o.description||"",skills:(o.skills||[]).sort()})).sort((o,i)=>(o.id||"").localeCompare(i.id||""))})).sort((s,o)=>(s.company||"").localeCompare(o.company||"")))||[],skills:(e.skills||[]).slice().sort(),education:(e.education||[]).map(s=>({school:s.school||s.university||"",degree:s.degree||"",field:s.field||"",dates:s.dates||""})).sort((s,o)=>(s.school||"").localeCompare(o.school||""))||[]},n=JSON.stringify(t,null,0);return nt(n||"{}")}function fs(e,t){return e?`user:${e}`:`guest:${ar(t)}`}const _A=`You are an expert resume writer and career strategist. Your primary task is to compose a perfectly tailored resume using ONLY the user's Career Diary (structured profile) as your data source.
30
31**TWO-LAYER RAG ARCHITECTURE:**
32- **Layer 1 (Documents → Career Diary):** Documents are parsed and their factual content is extracted into the Career Diary. This has already been done.
33- **Layer 2 (Career Diary → Tailored Resume):** You are operating in Layer 2. You MUST use ONLY the Career Diary as your data source.
34
35**CRITICAL INSTRUCTIONS:**
361.  **Use Career Diary Only:** The user's Career Diary (provided as structured JSON profile) is your SINGLE SOURCE OF TRUTH. All information you use must come from this profile. Do NOT search external files or make assumptions.
372.  **Analyze the Target Job:** Deeply analyze the provided Job Description to identify the most critical skills, qualifications, and keywords.
383.  **Select and Tailor (Action + Context + Result):** From the Career Diary, select the most relevant experiences, accomplishments, and skills.
39    - **Formula:** Use the "Action + Context + Result" structure for bullet points. Instead of "Managed a team," write "Led a team of 5 engineers (Context) to reduce deployment time by 40% (Result) through CI/CD automation (Action)."
40    - **Quantify:** Prioritize quantitative results ($, %, #) over qualitative descriptions whenever the source data permits.
41    - **Keywords:** Naturally weave in exact keywords from the JD into the Summary and Skills sections.
424.  **GROUNDING & TRUTHFULNESS (ABSOLUTE — this rule outranks every other instruction, including word-count and page-fill targets):**
43    You may REORDER, REPHRASE, CONDENSE, and EMPHASIZE content that already exists in the Career Diary to match the Job Description. You must NEVER INVENT. Specifically:
44    - **NO NEW SKILLS OR TOOLS:** If the Job Description requires a skill, tool, technology, or methodology (e.g., "React", "Kubernetes", "Agile") that is NOT present in the user's Career Diary, **DO NOT ADD IT** — not in the Skills section, not inside a bullet, not in the Summary. The product separately shows the user a keyword-gap anal

44ysis listing exactly these missing requirements; your job is to present what the user HAS, never to close a gap by writing it in.
45    - **NO NEW RESPONSIBILITIES OR ACHIEVEMENTS:** Do not write any responsibility, project, deliverable, or achievement that the Career Diary does not state. Do not copy a JD requirement into a bullet unless the Diary shows the user actually did that thing.
46    - **NO NEW METRICS:** Never introduce a number ($, %, #, team size, timeframe, scale) that does not appear in the Career Diary, and never inflate an existing number. A bullet with no metric is correct output when the Diary has no metric — do NOT estimate or extrapolate one.
47    - **NO NEW EMPLOYERS, TITLES, OR DATES:** Job titles, employer names, employment dates, locations, degrees, and certifications must be preserved verbatim from the Diary.
48    - **Traceability test:** every factual claim in every output bullet and in the Summary must be traceable to the Career Diary — a reader placing your output next to the Diary should find the full factual content of each line there. If you cannot ground a claim in the Diary, leave it out. A shorter, fully truthful resume is ALWAYS better than a longer one containing anything invented.
495.  **Standard ATS Format:** Structure the tailored resume in this exact order:
50    - **SUMMARY** (Professional Summary)
51    - **SKILLS** (Technical & Soft Skills)
52    - **PROFESSIONAL EXPERIENCE** (Reverse chronological order)
53    - **EDUCATION**
54    - **DO NOT include a header with Name or Contact Info.** The application will render this programmatically. Start directly with the "SUMMARY" section.
556.  **Location Handling:**
56    - **Use Latest Location Only:** If the user has multiple locations listed in their profile history, use **ONLY** their current/latest location for the resume context. Do not list multiple locations unless they are currently splitting time between them.
577.  **Plain-Text Formatting:** Output must be ATS-friendly plain text. Use uppercase section headers and start accomplishment lines with "- ". Do **NOT** use markdown (\`**\`, \`##\`, underscores) or decorative characters.
588.  **Comprehensive Content - Include All Relevant Accomplishments:**
59    - **Summary:** 2-4 sentences. Focus on role + key strengths + standout achievements. Be specific and impactful.
60    - **Bullets:** Each accomplishment bullet should be 1-2 lines maximum, but include ALL relevant accomplishments from each role.
61    - **Work Experience:** Include 4-6 accomplishment bullets per role (not just 2-3). Prioritize the most relevant ones for the job, but ensure comprehensive coverage of the user's experience. For senior roles or longer tenures, include even more bullets (6-8) to fully represent the scope of work.
62    - **Page Length & Word Count Targets:** The resume MUST fill the requested page count. Use these word count targets as a guide:
63      * **1 page:** 600-800 words (approximately 35-45 lines of content, target: 700 words)
64      * **2 pages:** 1200-1400 words (approximately 65-75 lines of content, target: 1300 words)
65      * **3 pages:** 1800-2100 words (approximately 95-110 lines of content, target: 1950 words)
66      * **4 pages:** 2400-2800 words (approximately 125-145 lines of content, target: 2600 words)
67      - If the requested page count is 1 page, the resume MUST be close to 700 words. Do not create a half-page resume.
68      - If the requested page count is 2 pages, the resume MUST be close to 1300 words.
69      - Adjust the number of bullets per role and detail level to meet the word count target while maintaining quality.
70      - Include more accomplishments, expand descriptions, and add relevant details to reach the target word count — but ONLY by drawing on additional real content from the Career Diary. If the Diary does not contain enough material to reach the target, fall short of the word count rather than inventing anything (Rule 4 outranks these targets).
71    - **Education & Skills:** Include all relevant education entries and skills from the Career Diary that match the job requirements.
729.  **Compose and Justify:** Construct the new, tailored resume. In the 'changeSummary', briefly explain (2-3 sentences) which accomplishments you chose and why they make the user a strong candidate.
7310. **Word Count:** Calculate and include the word count of the tailored resume. Count all words in the resume text (excluding headers like "SUMMARY", "SKILLS", etc., but including all content text).
7411. **Match Score:** Estimate how well the tailored resume matches the job description as a number from 0-100 in 'tailoredMatchScore'. Consider: keyword coverage, skills alignment, experience relevance, and seniority fit. A score of 80+ means strong alignment, 60-79 means good with some gaps, below 60 means significant gaps remain. Also provide a brief justification in 'tailoredMatchJustification' (1-2 sentences explaining the score).
7512. **Output Format:** Your final output **MUST** be a single, clean JSON object wrapped in a markdown code block (e.g., \`\`\`json\\n{{...}}\\n\`\`\`). The JSON object must have these keys: "tailoredResume" (string), "changeSummary" (string), "wordCount" (integer), "tailoredMatchScore" (number 0-100), and "tailoredMatchJustification" (string).`,td={1:700,2:1300,3:1950,4:2600};

75function nd(e){return td[e]??td[4]}const ka={};var Na={};const xA=()=>{var r;const e=(ka==null?void 0:ka.VITE_USE_LANGCHAIN)==="true",t=typeof window<"u"&&((r=window.__RUNTIME_CONFIG__)==null?void 0:r.VITE_USE_LANGCHAIN)==="true",n=typeof process<"u"&&(Na==null?void 0:Na.VITE_USE_LANGCHAIN)==="true";return!!(e||t||n)},bA=_A,wA=(e,t,n,r,s)=>{const o=vo(e),i=Wf(o);return`
76**Target Job Title:** ${n}
77**Target Company:** ${r}
78**Requested Page Count:** ${s} page(s)
79**Word Count Target:** ${s===1?"600-800 words":s===2?"1200-1400 words":"1800-2000 words"}
80---
81**JOB DESCRIPTION TO TARGET:**
82**CRITICAL WORD COUNT INSTRUCTION:**
83- If pageCount is 1: Be concise, focus on Most Relevant accomplishments. Use exactly ~700 words.
84- If pageCount is 2: Be comprehensive, include MANY more details and accomplishments. Use exactly ~1300 words.
85- If pageCount is 3: Be extremely thorough, including all historical details. Use exactly ~1950 words.
86Your output MUST significantly vary in length based on the requested page count.
87${t}
88---
89**USER'S STRUCTURED PROFILE (for context and structure):**
90${JSON.stringify(e,null,2)}
91---
92**CRITICAL: IMMUTABLE FACTS FROM PROFILE**
93The following information from the user's profile is FACTUAL and MUST NOT be modified:
94
95${i}
96
97**VERIFICATION CHECKLIST - Before outputting, verify:**
98☐ All company names match exactly (character-for-character, no abbreviations or changes)
99☐ All job titles are preserved verbatim from the profile
100☐ All employment dates and date ranges match the source EXACTLY (do not reformat)
101☐ No metrics have been inflated, invented, or modified — every number in the output appears in the profile
102☐ No skills, tools, or technologies added that weren't in the source profile — not in Skills, not in bullets, not in the Summary
103☐ No responsibility, project, or achievement appears that the profile does not state
104☐ No Job Description requirement was written into the resume without profile support (unsupported requirements belong in the keyword-gap analysis, not the resume)
105☐ All university names and degrees match exactly
106---
107**INSTRUCTION:**
108Using ONLY the Career Diary (structured profile) provided above, compose the tailored resume as a JSON object, following all rules. **IMPORTANT: Include ALL relevant accomplishments from each role (4-6 bullets per position, more for senior/longer roles), not just the top 2-3.** Prioritize accomplishments that match the job requirements, but ensure comprehensive coverage of the user's experience. 
109
110**CRITICAL: You MUST preserve all Company Names and Employment Dates exactly as they appear in the Profile. Do NOT reformat dates (e.g., if it says '2020-2022', do not change to 'Jan 2020 - Jan 2022').**
111
112Remember to preserve all immutable facts listed above. Do NOT search external files or use information not present in the Career Diary.
113`},Jf=async(e,t,n,r,s,o,i)=>{const c=ar(e),l=fs(i,e),u=nt(t),d=Gt("resume-tailor",l,c,u,n||"",r||"",o),p=Ht(d);if(p)return console.log("Using cached tailor result for:",n),p;const{promise:m}=cn(d,async()=>{var h,y;if(xA())try{console.log("[Resume Tailoring] Using LangChain mode (server-side)");const b={"Content-Type":"application/json"};try{const A=Z?await Z.auth.getSession():null,R=(y=(h=A==null?void 0:A.data)==null?void 0:h.session)==null?void 0:y.access_token;R&&(b.Authorization=`Bearer ${R}`)}catch{}const x=new AbortController,w=setTimeout(()=>x.abort(),9e4);let E;try{E=await fetch("/api/tailor-resume-langchain",{method:"POST",headers:b,body:JSON.stringify({profile:e,jobDescription:t,jobTitle:n,companyName:r,pageCount:o}),signal:x.signal})}catch(A){throw clearTimeout(w),(A==null?void 0:A.name)==="AbortError"?new Error("Tailoring timed out after 90 seconds. On mobile, keep this tab open during tailoring — switching apps can interrupt the request. Please try again."):A}finally{clearTimeout(w)}if(!E.ok){const A=await E.text();throw new Error(`LangChain API Error: ${E.status} - ${A}`)}const T=await E.json(),C={tailoredResume:T.tailoredResume||"",changeSummary:T.changeSummary||"",tailoredMatchScore:T.tailoredMatchScore||0,tailoredMatchJustification:T.tailoredMatchJustification||"",wordCount:T.wordCount||0,tailoredResumeId:T.tailoredResumeId||T.tailored_resume_id||null};if(C.tailoredResume&&typeof C.tailoredResume=="string"){const A=C.tailoredResume.split(/\s+/).filter(N=>N.length>0).length;C.wordCount=C.wordCount||A;const R=nd(o);console.log(`[LangChain Resume Tailoring] Word count: ${C.wordCount} (target: ~${R} for ${o} page(s))`)}const S=C.tailoredResume;

113if(!S||typeof S!="string")console.warn("[LangChain] tailoredResume is not a string:",typeof S,S);else{const A=vo(e),R=Ai(S,A);if(R.isValid)R.issues.length>0?console.warn("[LangChain Fact-Check Warnings]",R.issues):console.log("[LangChain Fact-Check Passed] ✓ No factual issues detected");else{const N=R.issues.filter(k=>k.severity==="error").length,O=R.issues.filter(k=>k.severity==="warning").length;console.error("[LangChain Fact-Check Failed]",`${N} errors, ${O} warnings:`,R.issues)}}return Ct(d,C,3600),C}catch(b){console.warn("[Resume Tailoring] LangChain mode failed, falling back to legacy mode:",b)}const _=wA(e,t,n,r,o);try{console.log("[Resume Tailoring] Using legacy Gemini API mode");const b=[],x=await fetch("/api/generate",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({model:an("tailorResume"),contents:[{role:"user",parts:[{text:_}]}],generationConfig:{temperature:.1},systemInstruction:{parts:[{text:bA}]},tools:b,_cacheMetadata:{type:"resume-tailor",userIdentifier:l,profileHash:c,jobDescriptionHash:u,jobTitle:n||"",companyName:r||"",pageCount:o}})});if(!x.ok){const S=await x.text();throw new Error(`API Error: ${x.status} - ${S}`)}const w=await x.json(),E=zc(w),T=Gf(E,["tailoredResume","changeSummary","wordCount"]);if(T.tailoredMatchScore=T.tailoredMatchScore??0,T.tailoredMatchJustification=T.tailoredMatchJustification??"",T.tailoredResume&&typeof T.tailoredResume=="string"){const S=T.tailoredResume.split(/\s+/).filter(R=>R.length>0).length;T.wordCount=T.wordCount||S;const A=nd(o);console.log(`[Resume Tailoring] Word count: ${T.wordCount} (target: ~${A} for ${o} page(s))`)}const C=T.tailoredResume;if(!C||typeof C!="string")console.warn("[GeminiService] tailoredResume is not a string:",typeof C,C);else{const S=vo(e),A=Ai(C,S);if(A.isValid)A.issues.length>0?console.warn("[Fact-Check Warnings]",A.issues):console.log("[Fact-Check Passed] ✓ No factual issues detected");else{const R=A.issues.filter(O=>O.severity==="error").length,N=A.issues.filter(O=>O.severity==="warning").length;console.error("[Fact-Check Failed]",`${R} errors, ${N} warnings:`,A.issues)}}return Ct(d,T,3600),T}catch(b){throw console.error("Error calling Gemini API:",b),b instanceof SyntaxError?new Error("The AI returned a response, but it was not in the expected JSON format. Please try again."):b instanceof Error?new Error(`Failed to tailor resume: ${b.message}`):new Error("Failed to tailor resume due to an unknown API error.")}});return m},SA=async(e,t,n,r,s)=>{const o=ar(e),i=fs(s,e),c=Gt("chat-with-resume",i,o,nt(t),nt(n),nt(JSON.stringify(r))),l=Ht(c);if(l)return l;const{promise:u}=cn(c,async()=>{try{console.log("[Resume Chat] Using LangGraph mode (server-side)");const d=await fetch("/api/chat-resume-langgraph",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({originalProfile:e,jobDescription:t,currentTailoredResume:n,chatHistory:r,userId:s})});if(!d.ok){const m=await d.json().catch(()=>({})),g=(m==null?void 0:m.error)||(m==null?void 0:m.details)||`HTTP ${d.status}`,_=m!=null&&m.requestId?` (ref ${m.requestId})`:"";throw new Error(d.status===400?`That message could not be sent${_}. ${g}`:`Refine failed: ${g}${_}`)}const p=await d.json();return Ct(c,p,1800),p}catch(d){throw console.error("Error chatting with resume via LangGraph API:",d),d instanceof Error?d:new Error("Failed to chat with resume. Please try again.")}});return u},EA="Company not specified",vA="Role not specified",TA=new Set(["target company","target role","target position"]),Vf=e=>{if(typeof e!="string")return!0;const t=e.trim().toLowerCase();return t?TA.has(t):!0},Zo=e=>Vf(e)?"":e.trim(),CA=[/job title\s*:\s*(.+)/i,/position\s*:\s*(.+)/i,/role\s*:\s*(.+)/i],AA=[/company\s*:\s*(.+)/i,/organization\s*:\s*(.+)/i,/employer\s*:\s*(.+)/i],rd=(e,t)=>{var n;for(const r of t){const s=e.match(r),o=(n=s==null?void 0:s[1])==null?void 0:n.trim();if(o&&!Vf(o))return o}return""},SP=e=>!e||typeof e!="string"?{jobTitle:"",companyName:""}:{jobTitle:rd(e,CA),companyName:rd(e,AA)},Ii=e=>Zo(e),Ri=e=>Zo(e),EP=e=>Zo(e)||EA,vP=e=>Zo(e)||vA;var IA={};const RA=()=>typeof window>"u"?IA.API_BASE_URL||"https://careerdiary.io":"",Gc=RA(),kA=e=>{if(e)return typeof e=="string"?{role:"system",parts:[{text:e}]}:e},NA=e=>{if(!e)return{};const{systemInstruction:t,tools:n,safetySettings:r,...s}=e;return{systemInstruction:kA(t),tools:n,safetySettings:r,generationConfig:Object.keys(s).length?s:void 0}};

113class jA{constructor(){Le(this,"queue",[]);Le(this,"processing",!1);Le(this,"requestTimes",[]);Le(this,"maxRequests",10);Le(this,"windowMs",60*1e3)}async processQueue(){if(!(this.processing||this.queue.length===0)){for(this.processing=!0;this.queue.length>0;){const t=Date.now();if(this.requestTimes=this.requestTimes.filter(o=>t-o<this.windowMs),this.requestTimes.length>=this.maxRequests){const o=this.requestTimes[0],i=this.windowMs-(t-o)+100;if(i>0){await new Promise(c=>setTimeout(c,i));continue}}const{resolve:n,reject:r,fn:s}=this.queue.shift();this.requestTimes.push(Date.now());try{const o=await s();n(o)}catch(o){r(o)}}this.processing=!1}}async execute(t){return new Promise((n,r)=>{this.queue.push({resolve:n,reject:r,fn:t}),this.processQueue()})}}const LA=new jA,PA=e=>{var r,s;const t=(r=e==null?void 0:e.candidates)==null?void 0:r[0];return t?(((s=t.content)==null?void 0:s.parts)||[]).map(o=>(o==null?void 0:o.text)??"").filter(o=>typeof o=="string"&&o.length>0).join(`
114`).trim():""},To=async(e,t=3,n=1e3)=>LA.execute(async()=>{var r,s,o,i,c;try{if(!e.model||typeof e.model!="string")throw new Error(`Invalid payload: model is required and must be a string. Got: ${typeof e.model}`);if(!e.contents||!Array.isArray(e.contents)||e.contents.length===0)throw new Error("Invalid payload: contents array is required and must not be empty");const l={model:e.model,contents:e.contents,...e.generationConfig&&{generationConfig:e.generationConfig},...e.systemInstruction&&{systemInstruction:e.systemInstruction},...e.tools&&{tools:e.tools},...e.safetySettings&&{safetySettings:e.safetySettings}};console.log("[genaiClient] Sending payload to /api/generate:",{hasModel:!!l.model,modelValue:l.model,hasContents:!!l.contents,contentsIsArray:Array.isArray(l.contents),contentsLength:Array.isArray(l.contents)?l.contents.length:0,firstPartTextLength:(c=(i=(o=(s=(r=l.contents)==null?void 0:r[0])==null?void 0:s.parts)==null?void 0:o[0])==null?void 0:i.text)==null?void 0:c.length,payloadKeys:Object.keys(l),hasPrompt:"prompt"in l||"prompt"in e});const u=await fetch(`${Gc}/api/generate`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(l)});if(!u.ok){if(u.status===429&&t>0){let m=n;try{const g=await u.clone().json();g.retryAfter&&(m=Math.min(g.retryAfter*1e3,6e4));const _=typeof import.meta<"u"&&!1}catch{const g=typeof import.meta<"u"&&!1}return await new Promise(g=>setTimeout(g,m)),To(e,t-1,Math.min(n*2,1e4))}const p=await u.text();throw new Error(`Gemini proxy error: ${u.status} - ${p}`)}const d=await u.json();return{...d,text:PA(d)}}catch(l){if(t>0&&(l.message.includes("429")||l.message.includes("503"))){let u=n;try{const d=l.message.match(/retryAfter["\s:]*(\d+)/i);d&&(u=Math.min(parseInt(d[1])*1e3,6e4));const p=typeof import.meta<"u"&&!1}catch{}return await new Promise(d=>setTimeout(d,u)),To(e,t-1,Math.min(n*2,1e4))}throw l}}),Yf=(e,t,n)=>{const r=NA(n);return{model:e,contents:t,generationConfig:r.generationConfig,systemInstruction:r.systemInstruction,tools:r.tools,safetySettings:r.safetySettings}};class OA{constructor(t){Le(this,"history");Le(this,"model");Le(this,"config");this.model=t.model,this.config=t.config,this.history=t.history?[...t.history]:[]}async sendMessage(t){const n=[...this.history,{role:"user",parts:[{text:t.message}]}],r=Yf(this.model,n,this.config),s=await To(r);return this.history=[...n,{role:"model",parts:[{text:s.text||""}]}],s}}const hr=["gemini-2.5-flash","gemini-2.5-flash-lite","gemini-2.5-pro","gemini-3-flash","gemini-3-pro-preview","gemini-1.5-pro","gemini-2.0-flash-001","gemini-2.0-flash-lite"],mt=()=>({models:{generateContent:async e=>{var r,s,o,i,c,l,u,d,p,m,g,_,h,y,b;if(!e.model||typeof e.model!="string")throw new Error(`Invalid model: ${e.model}. Model must be a non-empty string and one of: ${hr.join(", ")}`);if(!hr.includes(e.model))throw new Error(`Invalid model: "${e.model}". Must be one of: ${hr.join(", ")}`);if(!e.contents||!Array.isArray(e.contents)||e.contents.length===0)throw new Error("Contents array is required and must not be empty");for(const x of e.contents){if(!x.parts||!Array.isArray(x.parts)||x.parts.length===0)throw new Error("Eac

114h content item must have a non-empty parts array");if(!x.parts.some(E=>{var T,C;return(E==null?void 0:E.text)&&typeof E.text=="string"&&E.text.trim().length>0||((T=E==null?void 0:E.inlineData)==null?void 0:T.data)&&((C=E==null?void 0:E.inlineData)==null?void 0:C.mimeType)}))throw new Error("Each content item must have at least one part with non-empty text or inlineData")}const t=e.contents.map((x,w)=>{const E=x.parts.map((T,C)=>{if(T.inlineData){if(!T.inlineData.data||!T.inlineData.mimeType)throw new Error(`Content item ${w}, part ${C}: inlineData is missing data or mimeType`);return T}const S=T.text?String(T.text).trim():"";return S.length===0&&!T.inlineData?null:{...T,text:S}}).filter(T=>T!==null);if(E.length===0)throw new Error(`Content item ${w}: No valid parts found`);return{...x,parts:E}}).filter(x=>x.parts&&x.parts.length>0);if(t.length===0)throw new Error("No valid content with text found after validation");if(!hr.includes(e.model))throw new Error(`Invalid model: "${e.model}". Must be one of: ${hr.join(", ")}`);const n=Yf(e.model,t,e.config);return console.log("[genaiClient] buildPayload result:",{model:n.model,modelType:typeof n.model,contentsLength:(r=n.contents)==null?void 0:r.length,contentsIsArray:Array.isArray(n.contents),firstContentPartsLength:(i=(o=(s=n.contents)==null?void 0:s[0])==null?void 0:o.parts)==null?void 0:i.length,firstPartTextLength:(p=(d=(u=(l=(c=n.contents)==null?void 0:c[0])==null?void 0:l.parts)==null?void 0:u[0])==null?void 0:d.text)==null?void 0:p.length,payloadKeys:Object.keys(n),hasPrompt:"prompt"in n}),typeof window<"u"&&window.__DEV__&&console.log("[genaiClient] Payload structure:",{model:n.model,contentsLength:n.contents.length,firstContentPartsLength:(g=(m=n.contents[0])==null?void 0:m.parts)==null?void 0:g.length,firstPartTextPreview:(b=(y=(h=(_=n.contents[0])==null?void 0:_.parts)==null?void 0:h[0])==null?void 0:y.text)==null?void 0:b.substring(0,200)}),To(n)}},chats:{create:e=>new OA(e)}}),DA=async(e,t,n,r,s,o)=>{const i=Ri(r),c=Ii(s),l=i.length>0,u=c.length>0,d=ar(e),p=fs(o,e),m=Gt("cover-letter",p,d,nt(t),nt(n),i,c),g=Ht(m);if(g)return g;const _=vo(e),h=Wf(_),y=`You are an expert career coach and writer. Your task is to draft a professional, concise, and compelling cover letter.
115
116**TWO-LAYER RAG ARCHITECTURE:**
117- **Layer 1 (Documents → Career Diary):** Documents are parsed and their factual content is extracted into the Career Diary. This has already been done.
118- **Layer 2 (Career Diary → Cover Letter):** You are operating in Layer 2. You MUST use ONLY the Career Diary (provided as Profile) as your data source.
119
120**Instructions:**
1211.  Adopt the persona of the job applicant, using the provided name from their Career Diary (profile).
1222.  Use the provided **Job Title** and **Company Name** when they are available. If the company name is not provided, open with a neutral salutation ("Dear Hiring Manager") and do not name a company. If the job title is not provided, refer to "the role" generically. NEVER invent a company name or job title, and NEVER output placeholder text such as "Target Company" or "Target Role".
1233.  Carefully analyze the **Job Description** to identify 2-3 key requirements that match the candidate's strengths.
1244.  Reference the **Tailored Resume** and the user's full **Career Diary (Profile)** to highlight the most relevant skills and experiences. Use specific examples with metrics that are explicitly stated in the Career Diary. Do NOT use information not present in the Career Diary.
1255.  **Be concise and authentic:**
126    - **Opening:** 1-2 sentences stating position + one compelling reason you're a fit.
127    - **Body:** 2 paragraphs (3-4 sentences each) with concrete examples. Avoid generic phrases like "I am excited to apply" or "I believe I would be a great fit."
128    - **Closing:** 1-2 sentences with specific call to action.
1296.  **Total length:** 250-350 words maximum. Every sentence should add value.
1307.  The tone should be professional yet personable - sound like a real person, not a template.
1318.  **CRITICAL: Factual Accuracy** - You MUST NOT modify or fabricate any factual information (company 

131names, job titles, dates, metrics, degrees, universities). Only use facts from the provided Career Diary (profile). Do NOT invent achievements or metrics.
1329.  The final output must be ONLY the text of the cover letter. Do not include any greetings, explanations, or markdown formatting like \`\`\`.`,b=l?`**Job Title:** ${i}`:'**Job Title:** (not specified — refer to "the role" generically; do not invent a title)',x=u?`**Company:** ${c}`:'**Company:** (not specified — open with "Dear Hiring Manager"; do not name or invent a company)',w=`
133**Applicant Profile (Career Diary):**
134${JSON.stringify(e,null,2)}
135
136${b}
137${x}
138---
139**JOB DESCRIPTION:**
140${n}
141---
142**TAILORED RESUME (for context):**
143${t.trim()?t:"(none — no tailored resume exists for this job; rely on the Career Diary profile above)"}
144---
145**CRITICAL: IMMUTABLE FACTS FROM PROFILE**
146The following information is FACTUAL and MUST NOT be modified:
147
148${h}
149
150**VERIFICATION CHECKLIST - Before outputting, verify:**
151☐ All company names match exactly (character-for-character)
152☐ All job titles are preserved verbatim
153☐ All employment dates match source
154☐ No metrics have been inflated or invented
155☐ No skills added that weren't in the source profile
156☐ All university names and degrees match exactly
157---
158Please write the cover letter.`,{promise:E}=cn(m,async()=>{var O,k;console.log("[Cover Letter] Using server cover-letter endpoint");const T={"Content-Type":"application/json"};try{const $=await(Z==null?void 0:Z.auth.getSession()),z=(k=(O=$==null?void 0:$.data)==null?void 0:O.session)==null?void 0:k.access_token;z&&(T.Authorization=`Bearer ${z}`)}catch{}let C;try{C=await fetch(`${Gc}/api/generate/cover-letter`,{method:"POST",headers:T,body:JSON.stringify({model:an("generateCoverLetter"),contents:[{role:"user",parts:[{text:w}]}],generationConfig:{temperature:.5},systemInstruction:{parts:[{text:y}]}})})}catch($){throw console.error("Error generating cover letter (network):",$),new Error("Failed to generate cover letter due to a network error.")}if(!C.ok){const $=await C.json().catch(()=>({})),z=typeof $.error=="string"&&$.error?$.error:`Cover letter generation failed (${C.status})`,K=new Error(z);throw typeof $.code=="string"&&(K.code=$.code),K.status=C.status,K}const S=await C.json(),A=zc(S);if(!A)throw new Error("The AI returned an empty response for the cover letter.");const R=Ee(A),N=Ai(R,_);if(N.isValid)N.issues.length>0?console.warn("[Cover Letter Fact-Check Warnings]",N.issues):console.log("[Cover Letter Fact-Check Passed] ✓ No factual issues detected");else{const $=N.issues.filter(K=>K.severity==="error").length,z=N.issues.filter(K=>K.severity==="warning").length;console.error("[Cover Letter Fact-Check Failed]",`${$} errors, ${z} warnings:`,N.issues)}return Ct(m,R,1800),R});return E},MA=async(e,t,n)=>{const r=mt(),s=`Context:
159---
160**Job Description:**
161${e}
162---
163**Current Cover Letter:**
164${t}
165---`,o=n.map(c=>({role:c.role,parts:[{text:c.text}]})),i=r.chats.create({model:an("chatWithCoverLetter"),history:[{role:"user",parts:[{text:s}]},{role:"model",parts:[{text:"I have reviewed the context. How can I help you refine the cover letter?"}]},...o.slice(0,-1)],config:{systemInstruction:`You are an expert AI career coach assisting a user with their cover letter.
166- You are in a conversation. Maintain context from the history.
167- The user's goal is to refine the "Current Cover Letter".
168- If the user asks for a change, modification, or rewrite of the letter, you MUST respond with the ENTIRE, fully updated cover letter text. Enclose this full letter text within <cover_letter_update> and </cover_letter_update> tags. Do not add any other text outside these tags.
169- If the user asks a question or for a suggestion, respond conversationally as an expert coach. DO NOT use the <cover_letter_update> tags in this case.
170- Be helpful, professional, and concise.`}});try{const l=(await i.sendMessage({message:n[n.length-1].text})).text;if(!l)throw new Error("Received an empty response from the AI.");const u=Ee(l),d=Bf(u);return d?{newCoverLetterText:d,responseText:"Cover letter updated."}:{responseText:u}}catch(c){throw console.error("Error in chatWithCoverLetter API call:",c),new Error("Chat failed due to an API error.")}},sd=async e=>{const t=e.trim().replace(/\/$/,"").split("#")[0],n=Gt("fetch-job-description",nt(t)),r=Ht(n);if(r)return console.log("[fetchJobDescriptionFromURL] Cache hit for URL:",t),r;const{promise:s}=cn(n,async()=>{var l,u,d,p;const o=mt(),i=`You are an expert data extractor for a career tool. Your task is to visit a job posting URL, analyze its content, and extract key information into a structured JSON format.
171- Do not return raw, verbatim text. Instead, parse and summarize the content.
172- This is a transformative task to gather structured data for analysis, not to recite the source.
173- If a section (like 'preferred qualifications') is not present, return an empty array for it.
174- Your entire response MUST be a single JSON object, containing keys like "jobTitle", "companyName", "keyResponsibilities", etc.
175- This JSON object must be wrapped in a markdown code block like this: \`\`\`json
176{...}
177\`\`\`.
178- Do not include any other text, greetings, or explanations outside of this JSON block.`,c=`Please analyze the job posting at this URL and extract the requested information as a JSON object: ${e}`;try{const m=await o.models.generateContent({model:an("fetchJobDescriptionFromURL"),contents:[{role:"user",parts:[{text:c}]}],config:{systemInstruction:i,tools:[{googleSearch:{}}

178],temperature:.1}}),g=m.text,_=(u=(l=m.candidates)==null?void 0:l[0])==null?void 0:u.finishReason;if(_&&_!=="STOP")throw console.warn(`Gemini block reason during JD extraction: ${_}`,(p=(d=m.candidates)==null?void 0:d[0])==null?void 0:p.safetyRatings),new Error("The AI was blocked by the website's content policy (e.g., to prevent scraping).");if(!g)throw new Error("The AI returned an empty response while analyzing the URL.");const h=Bc(g),y=JSON.parse(h);let b=`Job Title: ${y.jobTitle||"N/A"}
179Company: ${y.companyName||"N/A"}
180
181`;y.aboutTheRole&&(b+=`About the Role:
182${y.aboutTheRole}
183
184`),y.keyResponsibilities&&y.keyResponsibilities.length>0&&(b+=`Responsibilities:
185- ${y.keyResponsibilities.join(`
186- `)}
187
188`),y.requiredQualifications&&y.requiredQualifications.length>0&&(b+=`Required Qualifications:
189- ${y.requiredQualifications.join(`
190- `)}
191
192`),y.preferredQualifications&&y.preferredQualifications.length>0&&(b+=`Preferred Qualifications:
193- ${y.preferredQualifications.join(`
194- `)}
195
196`);const x=b.trim();return Ct(n,x,3600),x}catch(m){console.error("Error fetching and structuring job description from URL:",m);let g="The AI could not analyze this URL.";throw m instanceof SyntaxError?g="The AI failed to structure the job description correctly from the page.":m instanceof Error&&(g=m.message),new Error(`Auto-fetch failed: ${g} For best results, please copy and paste the full description manually.`)}});return s},U=Object.freeze({STRING:"STRING",NUMBER:"NUMBER",INTEGER:"INTEGER",BOOLEAN:"BOOLEAN",ARRAY:"ARRAY",OBJECT:"OBJECT"}),UA={type:U.OBJECT,properties:{fullName:{type:U.STRING}

196,contactInfo:{type:U.STRING,description:"A single string including email, phone, linkedin, etc."},summary:{type:U.STRING},experience:{type:U.ARRAY,items:{type:U.OBJECT,properties:{id:{type:U.STRING,description:"A unique identifier, can be generated like exp1, exp2..."},jobTitle:{type:U.STRING},company:{type:U.STRING},location:{type:U.STRING},dates:{type:U.STRING},accomplishments:{type:U.ARRAY,items:{type:U.OBJECT,properties:{id:{type:U.STRING},description:{type:U.STRING},skills:{type:U.ARRAY,items:{type:U.STRING}}},required:["id","description","skills"]}}},required:["id","jobTitle","company","dates","accomplishments"]}},education:{type:U.ARRAY,items:{type:U.OBJECT,properties:{id:{type:U.STRING,description:"A unique identifier, e.g., edu1"},degree:{type:U.STRING},university:{type:U.STRING},dates:{type:U.STRING}},required:["id","degree","university","dates"]}},skills:{type:U.ARRAY,items:{type:U.STRING}}},required:["fullName","contactInfo","summary","experience","education","skills"]},FA={type:U.OBJECT,properties:{updatedProfile:UA,summary:{type:U.STRING,description:"A brief, conversational, 1-sentence summary of the action taken, written in the first person. e.g., 'OK, I've added that accomplishment to your Senior Developer role.' or 'I've updated your summary as requested.'"}},required:["updatedProfile","summary"]},$A=async(e,t,n)=>{const r=ar(e),s=fs(n,e),o=Gt("chat-with-profile",s,r,nt(t)),i=Ht(o);if(i)return i;const c=`You are an expert AI assistant managing a user's Career Diary, which is a structured JSON profile. The user will give you instructions in plain English to modify this profile.
1971.  **Analyze the Request:** Understand the user's intent (add, update, remove, rewrite).
1982.  **Modify the JSON:** Apply the requested changes to the provided JSON profile.
199    *   When adding new items (experience, accomplishments, education), generate new, unique IDs (e.g., \`exp_12345\`, \`acc_exp1_67890\`).
200    *   Preserve all existing data that wasn't targeted by the user's request.
201    *   Ensure the work experience is in reverse chronological order.
2023.  **Generate a Summary:** Create a brief, natural 1-sentence confirmation. Be specific (mention what was added/changed) and avoid robotic templates. Sound conversational.
203    - Good: "Added Software Engineer role at Meta with 4 accomplishments."
204    - Bad: "I've successfully updated your Career Diary by adding a new role as requested."
2054.  **Return the Result:** Your final output MUST be a single, clean JSON object conforming to the specified schema, containing both the entire \`updatedProfile\` and the \`summary\`. Do not add any extra text or markdown.`,l=`
206---
207**CURRENT CAREER DIARY (PROFILE):**
208${JSON.stringify(e,null,2)}
209---
210**USER'S INSTRUCTION:**
211"${t}"
212---
213Please modify the profile based on the instruction and return the result in the specified JSON format.
214`,{promise:u}=cn(o,async()=>{const d=mt();try{const p=await d.models.generateContent({model:an("chatWithProfile"),contents:[{role:"user",parts:[{text:l}]}],config:{systemInstruction:c,responseMimeType:"application/json",responseSchema:FA,temperature:.2}}),m=JSON.parse(Ee(p.text));if(!m.updatedProfile||!m.summary)throw new Error("AI response for profile chat is missing required fields.");return Ct(o,m,600),m}catch(p){throw console.error("Error chatting with profile:",p),new Error("The AI could not process your request. Please try rephrasing it.")}});return u},BA={type:U.OBJECT,properties:{reviewedText:{type:U.STRING,description:"The reviewed and corrected text with improved grammar, spelling, and clarity"},isTruthful:{type:U.BOOLEAN,description:"Whether the text only contains information that can be verified from the source"},truthfulnessIssues:{type:U.ARRAY,items:{type:U.STRING},description:"List of any invented, exaggerated, or unverifiable claims found"},contextIssues:{type:U.ARRAY,items:{type:U.STRING},description:"List of any context-related issues (missing context, unclear references, etc.)"},grammarIssues:{type:U.ARRAY,items:{type:U.STRING},description:"List of any grammar or spelling issues found and corrected"},wordCount:{type:U.NUMBER,description:"Word count of the reviewed text"},meetsLengthGuidelines:{type:U.BOOLEAN,description:"Whether the text meets the specified length guidelines"}},required:["reviewedText","isTruthful","wordCount","meetsLengthGuidelines"]},qf={summary:{minWords:20,maxWords:100,description:"Professional summary: 2-4 sentences, 20-100 words"},accomplishment:{minWords:15,maxWords:150,description:"Accomplishment description: 3-6 sentences, 15-150 words"},personalWebsiteDescription:{minWords:30,maxWords:150,description:"Personal website description: 4-6 sentences, 30-150 words"},careerDiaryEntry:{minWords:20,maxWords:150,description:"Career diary entry: 3-6 sentences, 20-150 words"}},Kf=async(e,t,n,r)=>{var l,u,d,p;const s=mt(),o=qf[t],i=`You are an expert content quality reviewer. Your task is to review AI-generated text for:

2151. **TRUTHFULNESS (MOST IMPORTANT):** Verify that every claim, fact, metric, and detail can be verified from the source material. Flag any invented, exaggerated, or unverifiable information.
2162. **Context:** Ensure the text makes sense in context, has proper flow, and references are clear.
2173. **Grammar & Spelling:** Correct any grammar, spelling, or punctuation errors.
2184. **Length:** Ensure the text meets the specified length guidelines.
219
220**CRITICAL TRUTHFULNESS RULES:**
221- If ANY information cannot be verified from the source, it MUST be removed or flagged
222- Do NOT add metrics, achievements, or details that aren't in the source
223- Do NOT exaggerate or enhance claims beyond what's stated
224- If the text contains unverifiable information, remove it and note it in truthfulnessIssues
225
226**LENGTH GUIDELINES:**
227${o.description}
228- Minimum: ${o.minWords} words
229- Maximum: ${o.maxWords} words
230
231**OUTPUT REQUIREMENTS:**
232- Return the reviewed and corrected text
233- Flag any truthfulness issues
234- Note any context or grammar issues
235- Ensure the final text meets length guidelines
236- If the text is too long, condense it while preserving all verifiable facts
237- If the text is too short but contains all verifiable information, that's acceptable`,c=`
238**CONTENT TYPE:** ${t}
239**LENGTH GUIDELINES:** ${o.description} (${o.minWords}-${o.maxWords} words)
240
241**SOURCE MATERIAL (for truthfulness verification):**
242${n}
243
244${r?`**ORIGINAL TEXT (before AI generation):**
245${r}
246
247`:""}
248**TEXT TO REVIEW:**
249${e}
250
251**YOUR TASK:**
2521. Verify every claim, fact, metric, and detail against the source material
2532. Remove or flag any information that cannot be verified
2543. Check grammar, spelling, and context
2554. Ensure the text meets length guidelines
2565. Return the reviewed and corrected text`;try{const m=await s.models.generateContent({model:Ue.LITE||"gemini-2.5-flash-lite",contents:[{role:"user",parts:[{text:c}]}],config:{systemInstruction:i,responseMimeType:"application/json",responseSchema:BA,temperature:.1}}),g=JSON.parse(m.text||"{}");!g.isTruthful&&((l=g.truthfulnessIssues)==null?void 0:l.length)>0&&console.warn("[ContentQuality] Truthfulness issues detected:",g.truthfulnessIssues);const _=((u=g.reviewedText)==null?void 0:u.split(/\s+/).filter(Boolean).length)||0,h=[...g.truthfulnessIssues||[],...g.contextIssues||[],...g.grammarIssues||[]];return{reviewedText:Ee(g.reviewedText||e),isTruthful:g.isTruthful!==!1,issues:h,wordCount:_,meetsLengthGuidelines:g.meetsLengthGuidelines!==!1&&_>=o.minWords&&_<=o.maxWords}}catch(m){const g=m;!((d=g==null?void 0:g.message)!=null&&d.includes("429"))&&!((p=g==null?void 0:g.message)!=null&&p.includes("rate limit"))&&console.error("[ContentQuality] Error reviewing content:",m);const _=e.split(/\s+/).filter(Boolean).length;return{reviewedText:Ee(e),isTruthful:!0,issues:["Quality review failed - could not verify content"],wordCount:_,meetsLengthGuidelines:_>=o.minWords&&_<=o.maxWords}}},zA=async(e,t,n)=>{var u,d;const r=mt(),s=qf[t],o=e.map((p,m)=>`ITEM ${m+1} (ID: ${p.id}):
257Original: ${p.originalText||"N/A"}
258Enriched: ${p.text}
259`).join(`
260---
261
262`),i=`You are an expert content quality reviewer. Review multiple items in a single batch.
263
264**CRITICAL TRUTHFULNESS RULES:**
265- Verify every claim, fact, metric, and detail against the source material
266- Remove or flag any information that cannot be verified
267- Do NOT add metrics, achievements, or details that aren't in the source
268
269**LENGTH GUIDELINES:**
270${s.description} (${s.minWords}-${s.maxWords} words)
271
272**OUTPUT:**
273Return a JSON array with one object per item, matching the input order. Each object must have:
274- id: The item ID
275- reviewedText: The reviewed and corrected text
276- isTruthful: Boolean indicating if all claims are verifiable
277- issues: Array of any issues found
278- wordCount: Word count of reviewed text
279- meetsLengthGuidelines: Boolean indicating if length is within guidelines`,c=`
280**CONTENT TYPE:** ${t}
281**LENGTH GUIDELINES:** ${s.description} (${s.minWords}-${s.maxWords} words)
282
283**SOURCE MATERIAL (for truthfulness verification):**
284${n}
285
286**ITEMS TO REVIEW:**
287${o}
288
289**YOUR TASK:**
290Review all items and return a JSON array with reviewed results for each item in the same order.`,l={type:U.OBJECT,properties:{reviews:{type:U.ARRAY,items:{type:U.OBJECT,properties:{id:{type:U.STRING},reviewedText:{type:U.STRING},isTruthful:{type:U.BOOLEAN},issues:{type:U.ARRAY,items:{type:U.STRING}},wordCount:{type:U.NUMBER},meetsLengthGuidelines:{type:U.BOOLEAN}},required:["id","reviewedText","isTruthful","wordCount","meetsLengthGuidelines"]}}},required:["reviews"]};try{const p=await r.models.generateContent({model:Ue.LITE||"gemini-2.5-flash-lite",contents:[{role:"user",parts:[{text:c}]}],config:{systemInstruction:i,responseMimeType:"application/json",responseSchema:l,temperature:.1}}),g=JSON.parse(p.text||"{}").reviews||[];return e.map((_,h)=>{const y=g[h]||g.find(b=>b.id===_.id);

290if(!y){const b=_.text.split(/\s+/).filter(Boolean).length;return{id:_.id,reviewedText:Ee(_.text),isTruthful:!0,issues:["Batch review failed - using original"],wordCount:b,meetsLengthGuidelines:b>=s.minWords&&b<=s.maxWords}}return{id:y.id||_.id,reviewedText:Ee(y.reviewedText||_.text),isTruthful:y.isTruthful!==!1,issues:y.issues||[],wordCount:y.wordCount||_.text.split(/\s+/).filter(Boolean).length,meetsLengthGuidelines:y.meetsLengthGuidelines!==!1}})}catch(p){const m=p;return!((u=m==null?void 0:m.message)!=null&&u.includes("429"))&&!((d=m==null?void 0:m.message)!=null&&d.includes("rate limit"))&&console.error("[ContentQuality] Error in batch review:",p),e.map(g=>{const _=g.text.split(/\s+/).filter(Boolean).length;return{id:g.id,reviewedText:Ee(g.text),isTruthful:!0,issues:["Batch review failed - using original"],wordCount:_,meetsLengthGuidelines:_>=s.minWords&&_<=s.maxWords}})}},GA="/api/generate",HA={type:U.OBJECT,properties:{enrichedAccomplishments:{type:U.ARRAY,description:"An array of objects, where each object has 'id' and 'description' fields.",items:{type:U.OBJECT,properties:{id:{type:U.STRING,description:"The original ID of the accomplishment."},description:{type:U.STRING,description:"The rewritten, verbose, story-like accomplishment description, framed using the STAR method."}},required:["id","description"]}}},required:["enrichedAccomplishments"]},WA=async e=>{var s,o,i,c;const t=mt(),n=`You are an expert career coach. Your task is to transform concise resume bullet points into impactful, memorable accomplishments for a user's Career Diary.
291
292**CRITICAL QUALITY REQUIREMENTS:**
2931. **TRUTHFULNESS (MOST IMPORTANT):** Only include information that can be verified from the original accomplishment text. Do NOT invent metrics, achievements, or details.
2942. **Context:** Ensure the rewritten text makes sense in the context of the job title and company.
2953. **Grammar & Spelling:** Use correct grammar, spelling, and punctuation.
2964. **Length:** Each accomplishment should be 3-6 sentences (15-150 words). Be clear and comprehensive, but NOT a verbatim copy of page-long text.
297
298**CRITICAL: PREVENT VERBATIM COPY-PASTE:**
299- If the original text is very long (more than 200 words), you MUST condense and refine it
300- Extract the most important and impactful points
301- Rewrite in your own words - do NOT copy verbatim
302- Focus on key achievements, results, and impact
303- Remove redundant information and fluff
304
305**Instructions:**
3061.  Review the provided job context (title, company) and the list of accomplishments (bullet points).
3072.  For each accomplishment, rewrite it to be **clear, specific, and results-focused**.
3083.  Structure: [Action Verb] + [What you did] + [Measurable result/impact]. Keep it to 3-6 sentences (15-150 words).
3094.  **If the original is very long:** Condense it to the most important points. Extract key achievements and results. Do NOT copy verbatim.
3105.  Focus on quantifiable results (metrics, percentages, scale) ONLY if they are explicitly stated in the original.
3116.  **CRITICAL:** Only include details that are clearly stated or directly implied by the original bullet - do NOT invent, exaggerate, or add unverifiable claims.
3127.  The rewritten description should be comprehensive but professional, suitable for a career diary.
3138.  Before finalizing, verify: Is every claim verifiable? Is the grammar correct? Is it NOT a verbatim copy? Does it meet length guidelines?
3149.  Return a JSON object with a single key "enrichedAccomplishments", containing an array of objects. Each object must have the original 'id' and the new 'description'. Do not change the IDs.`,r=`
315**Job Context:**
316- Job Title: ${e.jobTitle}
317- Company: ${e.company}
318
319**Accomplishments to Enrich:**
320${JSON.stringify(e.accomplishments.map(l=>({id:l.id,description:l.description})),null,2)}
321`;try{const l=await t.models.generateContent({model:an("enrichAccomplishments"),contents:[{role:"user",parts:[{text:r}]}],config:{systemInstruction:n,responseMimeType:"application/json",responseSchema:HA,temperature:.3}}),u=JSON.parse(Ee(l.text));if(!u.enrichedAccomplishments)throw new Error("AI response did not contain the expected 'enrichedAccomplishments' field.");const d=`Job: ${e.jobTitle} at ${e.company}
322Original accomplishments:
323${e.accomplishments.map(h=>`- ${h.description}`).join(`
324`)}`,p=[],m=[];for(const h of e.accomplishments){const y=u.enrichedAccomplishments.find(x=>x.id===h.id);if(!y){m.push({acc:h,enriched:null});continue}y.description!==h.description&&y.description.length>h.description.length*1.5?p.push({id:h.id,text:y.description,originalText:h.description,originalAcc:h}):m.push({acc:h,enriched:y})}let g=[];if(p.length>0)try{g=await zA(p.map(y=>({id:y.id,text:y.text,originalText:y.originalText})),"accomplishment",d)}catch(h){!((s=h==null?void 0:h.message)!=null&&s.includes("429"))&&!((o=h==null?void 0:h.message)!=null&&o.includes("rate limit"))&&console.error("[EnrichAccomplishments] Error in batch review:",h),g=p.map(y=>({id:y.id,reviewedText:y.text,isTruthful:!0,issues:["Quality review skipped due to rate limiting - using enriched version"]}))}const _=[];for(const h of p){const y=g.find(b=>b.id===h.id);y&&!y.isTruthful&&y.issues.length>0?_.push(h.originalAcc):_.push({...h.originalAcc,description:(y==null?void 0:y.reviewedText)||h.text})}for(const{acc:h,enriched:y}of m)y?_.push({...h,description:y.description}):_.push(h);return _}catch(l){throw!((i=l==null?void 0:l.message)!=null&&i.includes("429"))&&!((c=l==null?void 0:l.message)!=null&&c.includes("rate limit"))&&console.error("Error enriching accomplishments:",l),new Error("The AI failed to enrich the accomplishments for this role.")}},Co=async e=>{var s,o,i,c,l;if(!e)return[];const t=Gt("extractAccomplishments",nt(e)),n=Ht(t);if(n)return n;const r=`You are an expert career accomplishments extractor. Analyze the provided text from a professional document (resume or performance review) and identify distinct accomplishments. 
325    
326    Every accomplishment must strictly adhere to the STAR method structure:
327    1. Situation/Problem: Describe the context or the challenge faced.

328    2. Task/Goal: Describe the objective you were working toward.
329    3. Action: Describe the steps you took to address the situation/task.
330    4. Result: Describe the measurable outcome or achievement.
331
332    Output the results as a JSON array. Do not include any commentary, analysis, or surrounding markdown outside of the JSON array itself.
333
334    Required JSON Output Structure:
335    [
336        {
337            "situationOrProblem": "...",
338            "taskOrGoal": "...",
339            "actionTaken": "...",
340            "resultAchieved": "...",
341            "suggestedTitle": "...",
342            "suggestedDate": "YYYY-MM" // If extractable
343        }, 
344        // ... more objects
345    ]`;try{const u=await fetch(GA,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({model:an("extractAccomplishments"),systemInstruction:{parts:[{text:r}]},contents:[{role:"user",parts:[{text:e}]}],generationConfig:{responseMimeType:"application/json"}})});if(!u.ok){const g=await u.json();throw new Error(`AI Proxy Error: ${u.status} - ${g.message}`)}const p=(l=(c=(i=(o=(s=(await u.json()).candidates)==null?void 0:s[0])==null?void 0:o.content)==null?void 0:i.parts)==null?void 0:c[0])==null?void 0:l.text;if(!p)throw new Error("No content generated");let m;try{m=JSON.parse(p)}catch{const _=p.match(/```json\n([\s\S]*?)\n```/)||p.match(/```\n([\s\S]*?)\n```/);if(_)m=JSON.parse(_[1]);else throw new Error("Failed to parse JSON response")}if(!Array.isArray(m))throw new Error("AI returned non-array structure.");return Ct(t,m,3600),m}catch(u){throw u}},JA={type:U.OBJECT,properties:{firstName:{type:U.STRING},lastName:{type:U.STRING},email:{type:U.STRING},phone:{type:U.STRING},linkedIn:{type:U.STRING,description:"Full LinkedIn URL, extracted from contact info."},website:{type:U.STRING,description:"Personal website or portfolio URL, or an empty string if not found."},location:{type:U.STRING,description:"City and State/Country, extracted from contact info."},workHistoryPlainText:{type:U.STRING,description:"A plain text summary of work history, formatted for pasting into text boxes. Each job should be separated by a blank line. Example: 'Senior Software Engineer, Innovate Tech (Jun 2018 - Present)\\n- Accomplishment 1\\n- Accomplishment 2'"}},required:["firstName","lastName","email","phone","linkedIn","website","location","workHistoryPlainText"]},VA=async(e,t)=>{const n=ar(e),r=fs(t,e),s=Gt("application-snippets",r,n),o=Ht(s);if(o)return o;const i=mt(),c=`You are an expert data extractor. Your task is to parse a user's structured 'Career Diary' JSON profile and pull out specific pieces of information, formatting them exactly as specified in the response schema. 
346- Extract individual components like first name, last name, email, phone, etc., from the unstructured 'fullName' and 'contactInfo' fields.
347- If a piece of data like a website is not present, return an empty string for that field.
348- Format the 'workHistoryPlainText' by listing each job with its title, company, and dates on one line, followed by its accomplishments as bullet points.
349- Your output must be a single, clean JSON object conforming to the schema. Do not add any extra text or markdown.`,l=`
350---
351**USER'S CAREER DIARY (PROFILE):**
352${JSON.stringify(e,null,2)}
353---
354Please extract the application snippets according to the schema.
355`,{promise:u}=cn(s,async()=>{try{const d=await i.models.generateContent({model:an("generateApplicationSnippets"),contents:[{role:"user",parts:[{text:l}]}],config:{systemInstruction:c,responseMimeType:"application/json",responseSchema:JA}}),p=JSON.parse(Ee(d.text));return Ct(s,p,1800),p}catch(d){throw console.error("Error generating application snippets:",d),new Error("The AI could not extract information from your profile.")}});return u},YA=(e,t=300)=>{const n=f.useRef(null);return f.useCallback((...r)=>{n.current&&clearTimeout(n.current),n.current=setTimeout(()=>{e(...r)},t)},[e,t])},od=(e,t)=>e.id||`${e.jobTitle}-${e.company}-${e.dates}-${t}`,ad=(e,t)=>e.id||`${e.degree}-${e.university}-${e.dates}-${t}`,id=e=>(e??[]).map(t=>t.trim()).filter(Boolean),ki=(e,{includeJobPreferences:t=!0}={})=>{var r,s,o,i,c,l,u;if(!e||!e.fullName)return"";let n=`${e.fullName}
356${e.contactInfo||""}
357
358`;if(e.summary&&(n+=`Summary
359${e.summary}
360
361`),(r=e.skills)!=null&&r.length&&(n+=`Skills
362${e.skills.join(", ")}
363
364`),(s=e.experience)!=null&&s.length&&(n+=`Work Experience
365`,e.experience.forEach(d=>{var p;n+=`
366${d.jobTitle} • ${d.company}
367${d.location||""} | ${d.dates||""}
368`,(p=d.accomplishments)==null||p.forEach(m=>{n+=`- ${m.description}
369`})}),n+=`
370`),(o=e.education)!=null&&o.length&&(n+=`Education
371`,e.education.forEach(d=>{n+=`
372${d.degree} • ${d.university}
373${d.dates||""}
374`})),t&&e.jobPreferences){n+=`
375Job Preferences
376`;

376const d=e.jobPreferences;(i=d.targetRoles)!=null&&i.length&&(n+=`Target Roles: ${d.targetRoles.join(", ")}
377`),(c=d.preferredLocations)!=null&&c.length&&(n+=`Locations: ${d.preferredLocations.join(", ")}
378`),(l=d.locationTypes)!=null&&l.length&&(n+=`Location Types: ${d.locationTypes.join(", ")}
379`),(u=d.preferredIndustries)!=null&&u.length&&(n+=`Industries: ${d.preferredIndustries.join(", ")}
380`),d.salaryExpectation&&(n+=`Salary: ${d.salaryExpectation}
381`)}return n.trim()},xr=(e,t,n)=>{const r=new Set(id(e)),s=new Set(id(t)),o=[...s].filter(l=>!r.has(l)),i=[...r].filter(l=>!s.has(l)),c=[];return o.length&&c.push(`Added ${n}: ${o.join(", ")}`),i.length&&c.push(`Removed ${n}: ${i.join(", ")}`),c},qA=(e,t)=>{const n=[],r=new Map;(e??[]).forEach((o,i)=>r.set(od(o,i),o));const s=new Map;return(t??[]).forEach((o,i)=>s.set(od(o,i),o)),s.forEach((o,i)=>{r.has(i)||n.push(`Added experience: ${o.jobTitle} at ${o.company}`)}),r.forEach((o,i)=>{s.has(i)||n.push(`Removed experience: ${o.jobTitle} at ${o.company}`)}),s.forEach((o,i)=>{var p,m,g,_;const c=r.get(i);if(!c)return;const l=[];(c.jobTitle||"").trim()!==(o.jobTitle||"").trim()&&l.push("title"),(c.company||"").trim()!==(o.company||"").trim()&&l.push("company"),(c.location||"").trim()!==(o.location||"").trim()&&l.push("location"),(c.dates||"").trim()!==(o.dates||"").trim()&&l.push("dates");const u=((p=c.accomplishments)==null?void 0:p.length)??0,d=((m=o.accomplishments)==null?void 0:m.length)??0;d>u?l.push(`${d-u} accomplishment${d-u===1?"":"s"} added`):d<u?l.push(`${u-d} accomplishment${u-d===1?"":"s"} removed`):JSON.stringify((g=c.accomplishments)==null?void 0:g.map(h=>h.description||"").sort())!==JSON.stringify((_=o.accomplishments)==null?void 0:_.map(h=>h.description||"").sort())&&l.push("accomplishments updated"),l.length&&n.push(`Updated ${c.jobTitle} at ${c.company}: ${l.join(", ")}`)}),n},KA=(e,t)=>{const n=[],r=new Map;(e??[]).forEach((o,i)=>r.set(ad(o,i),o));const s=new Map;return(t??[]).forEach((o,i)=>s.set(ad(o,i),o)),s.forEach((o,i)=>{r.has(i)||n.push(`Added education: ${o.degree} at ${o.university}`)}),r.forEach((o,i)=>{s.has(i)||n.push(`Removed education: ${o.degree} at ${o.university}`)}),s.forEach((o,i)=>{const c=r.get(i);if(!c)return;const l=[];(c.degree||"").trim()!==(o.degree||"").trim()&&l.push("degree"),(c.university||"").trim()!==(o.university||"").trim()&&l.push("institution"),(c.dates||"").trim()!==(o.dates||"").trim()&&l.push("dates"),l.length&&n.push(`Updated education (${c.university}): ${l.join(", ")}`)}),n},XA=(e,t)=>{if(!e&&!t)return[];if(!e&&t)return["Added job search preferences"];if(e&&!t)return["Cleared job search preferences"];const n=[];return n.push(...xr(e==null?void 0:e.targetRoles,t==null?void 0:t.targetRoles,"target roles"),...xr(e==null?void 0:e.preferredLocations,t==null?void 0:t.preferredLocations,"preferred locations"),...xr(e==null?void 0:e.locationTypes,t==null?void 0:t.locationTypes,"location types"),...xr(e==null?void 0:e.preferredIndustries,t==null?void 0:t.preferredIndustries,"industries")),((e==null?void 0:e.salaryExpectation)||"").trim()!==((t==null?void 0:t.salaryExpectation)||"").trim()&&(t!=null&&t.salaryExpectation?n.push(`Updated salary expectation to ${t.salaryExpectation}`):n.push("Removed salary expectation")),n},ZA=(e,t)=>{const n=[];return(e.summary||"").trim()!==(t.summary||"").trim()&&n.push("Updated professional summary"),(e.fullName||"").trim()!==(t.fullName||"").trim()&&n.push(`Name changed to ${t.fullName||"unspecified"}`),(e.contactInfo||"").trim()!==(t.contactInfo||"").trim()&&n.push("Contact info updated"),n.push(...qA(e.experience,t.experience),...KA(e.education,t.education),...xr(e.skills,t.skills,"skills"),...XA(e.jobPreferences,t.jobPreferences)),n},Xf="__CD_CareerContext__",Hc=globalThis[Xf]??f.createContext(void 0);globalThis[Xf]=Hc;const Zf=()=>{const e=f.useContext(Hc);if(!e)throw new Error("useCareer must be used within a CareerProvider");return e},QA=({children:e})=>{const t=Qe(),[n,r]=f.useState({profile:null,masterResume:"",pendingMemories:[],isExtractingAccomplishments:!1,diarySaveStatus:"idle"}),s=f.useCallback(async x=>{var w,E,T,C,S;if(x){console.log("[CareerContext] 💾 saveProfile called:",{fullName:x.fullName,isGuest:t.isGuest,hasSession:!!((E=(w=t.session)==null?void 0:w.user)!=null&&E.id)}),r(A=>({...A,diarySaveStatus:"saving"}));try{!t.isGuest&&((C=(T=t.session)==null?void 0:T.user)!=null&&C.id)?(console.log("[CareerContext] 🔐 Saving to database (authenticated user)"),await Ac(x),x.experience&&x.experience.s

381ome(A=>A.accomplishments&&A.accomplishments.length>0)&&fetch("/api/embeddings/generate",{method:"POST",headers:{"Content-Type":"application/json",Authorization:`Bearer ${((S=t.session)==null?void 0:S.access_token)||""}`},body:JSON.stringify({profileData:x})}).catch(A=>{console.warn("[CareerContext] Failed to generate embeddings (non-fatal):",A)})):(console.log("[CareerContext] 👤 Saving to localStorage (guest user)"),await Sf(x)),console.log("[CareerContext] ✅ Profile saved successfully"),r(A=>({...A,diarySaveStatus:"saved"})),setTimeout(()=>{r(A=>({...A,diarySaveStatus:"idle"}))},2e3)}catch(A){throw console.error("[CareerContext] ❌ Failed to save profile:",A),r(R=>({...R,diarySaveStatus:"idle"})),A}}},[t.isGuest,t.session]),o=YA(x=>{s(x).catch(()=>{console.error("[CareerContext] Auto-save failed")})},100),i=f.useCallback((x,w=!1)=>{const E=n.profile??bt,T=x(E);if(console.log("[CareerContext] Updating profile",w?"(immediate)":"(debounced)"),r(C=>({...C,profile:T,masterResume:ki(T)})),w)return s(T).catch(C=>{throw console.error("[CareerContext] Immediate save failed:",C),C});o(T)},[n.profile,o,s]),c=f.useRef(null),l=f.useCallback(x=>{var E;const w=x?`${x.fullName||"unknown"}-${((E=x.experience)==null?void 0:E.length)||0}-${JSON.stringify(x).length}`:null;c.current!==w&&(c.current=w,r(T=>({...T,profile:x,masterResume:x?ki(x):""})))},[]),u=f.useCallback(async(x,w)=>{r(E=>({...E,isExtractingAccomplishments:!0}));try{console.log("[CareerContext] Extracting accomplishments from:",w);const T=(await Co(x)).map((C,S)=>({experienceId:"pending",accomplishment:{...C,id:`acc-${Date.now()}-${S}`,sourceFileId:w},justification:`Extracted from ${w} via AI`}));r(C=>({...C,pendingMemories:[...C.pendingMemories,...T]})),console.log(`[CareerContext] Extracted ${T.length} accomplishments`)}catch(E){console.error("[CareerContext] Accomplishment extraction error:",E)}finally{r(E=>({...E,isExtractingAccomplishments:!1}))}},[]),d=f.useCallback(async(x,w,E)=>{r(T=>({...T,isExtractingAccomplishments:!0}));try{console.log("[CareerContext] Extracting and auto-accepting accomplishments from:",w);const T=await Co(x);if(T.length===0){console.log("[CareerContext] No accomplishments found in file");return}let C=n.profile;C||(C={...bt});const S={...C};(!S.experience||S.experience.length===0)&&(S.experience=[{id:`exp-${Date.now()}`,company:"Career Highlights",jobTitle:"Professional Achievements",location:"",dates:new Date().getFullYear().toString(),description:[],accomplishments:[]}]);const A=S.experience[0],R=T.map((N,O)=>({...N,id:`acc-${Date.now()}-${O}`,sourceFileId:w}));A.accomplishments=[...A.accomplishments||[],...R],i(()=>S),console.log(`[CareerContext] Auto-accepted ${R.length} accomplishments from ${w} (category: ${E})`),te("accomplishments_auto_accepted",{count:R.length,sourceFileId:w,category:E})}catch(T){console.error("[CareerContext] Accomplishment extraction and acceptance error:",T)}finally{r(T=>({...T,isExtractingAccomplishments:!1}))}},[n.profile,i]),p=f.useCallback(x=>{if(!n.profile){console.warn("[CareerContext] Cannot accept memory - no profile loaded");return}console.log("[CareerContext] Accepting memory:",x.accomplishment.suggestedTitle);const w={...n.profile};if(!w.experience||w.experience.length===0)w.experience=[{id:`exp-${Date.now()}`,company:"Career Highlights",jobTitle:"Professional Achievements",location:"",dates:new Date().getFullYear().toString(),description:[],accomplishments:[x.accomplishment]}];else{const E=w.experience[0];E.accomplishments=[...E.accomplishments||[],x.accomplishment]}i(()=>w),r(E=>({...E,pendingMemories:E.pendingMemories.filter(T=>T.accomplishment.id!==x.accomplishment.id)})),te("memory_accepted")},[n.profile,i]),m=f.useCallback(x=>{console.log("[CareerContext] Rejecting memory:",x.accomplishment.suggestedTitle),r(w=>({...w,pendingMemories:w.pendingMemories.filter(E=>E.accomplishment.id!==x.accomplishment.id)})),te("memory_rejected")},[]),g=f.useCallback(async()=>{console.log("[CareerContext] Clearing career diary");const x={...bt};r(w=>({...w,profile:x,masterResume:"",pendingMemories:[]})),await s(x),te("career_diary_cleared")},[s]),_=f.useCallback(x=>{i(w=>

381{var C;const E=(C=w.experience)==null?void 0:C.find(S=>S.id===x);if(!E)return w;const T={id:`acc-${Date.now()}`,description:"",skills:[],source:"Manual"};return E.accomplishments=[...E.accomplishments||[],T],{...w}})},[i]),h=f.useCallback((x,w,E)=>{i(T=>{var A,R;const C=(A=T.experience)==null?void 0:A.find(N=>N.id===x);if(!C)return T;const S=(R=C.accomplishments)==null?void 0:R.find(N=>N.id===w);return S?(S.description=E,{...T}):T})},[i]),y=f.useCallback((x,w)=>{i(E=>{var C,S;const T=(C=E.experience)==null?void 0:C.find(A=>A.id===x);return T?(T.accomplishments=((S=T.accomplishments)==null?void 0:S.filter(A=>A.id!==w))||[],{...E}):E})},[i]),b={...n,updateProfile:i,setProfile:l,extractAccomplishments:u,extractAndAcceptAccomplishments:d,acceptMemory:p,rejectMemory:m,clearDiary:g,addAccomplishment:_,updateAccomplishment:h,deleteAccomplishment:y,saveProfile:s};return a.jsx(Hc.Provider,{value:b,children:e})},eI=async e=>{try{const t=await fetch(`${Gc}/api/files/${encodeURIComponent(e)}`,{method:"DELETE"});if(!t.ok)throw new Error(await t.text())}catch(t){throw console.error(`Error deleting file ${e} via proxy:`,t),new Error("Failed to delete file from the Career Corpus.")}},Ni={summary:"SUMMARY","professional summary":"PROFESSIONAL SUMMARY","career summary":"CAREER SUMMARY",overview:"SUMMARY",profile:"SUMMARY",skills:"SKILLS","core skills":"CORE SKILLS","core competencies":"CORE COMPETENCIES",competencies:"CORE COMPETENCIES","technical skills":"TECHNICAL SKILLS","work experience":"WORK EXPERIENCE",experience:"WORK EXPERIENCE","professional experience":"PROFESSIONAL EXPERIENCE","relevant experience":"RELEVANT EXPERIENCE",projects:"PROJECTS","key projects":"PROJECTS",education:"EDUCATION",certifications:"CERTIFICATIONS",awards:"AWARDS",publications:"PUBLICATIONS"},tI=new Set(Object.values(Ni)),nI=e=>e.replace(/\*\*(.*?)\*\*/g,"$1").replace(/__(.*?)__/g,"$1").replace(/`([^`]+)`/g,"$1").replace(/~~(.*?)~~/g,"$1"),rI=e=>e.replace(/\s+/g," ").trim(),sI=e=>{const t=e.trim().replace(/[:.]$/,"").toLowerCase();return Ni[t]?Ni[t]:null},tn=e=>{if(!e)return!1;const t=e.trim().replace(/[:.]$/,"").toUpperCase();return tI.has(t)},Wc=e=>{if(!e)return!1;const t=e.trim();if(!t||t.startsWith("- ")||tn(t)||t.length>120)return!1;const n=/\s(at|@)\s/i.test(t),r=t.includes(" | "),s=/\s[-–]\s/.test(t)&&!t.startsWith("-"),o=/\b(19|20)\d{2}\b/.test(t);return n||r&&!t.startsWith("|")||s&&o},oI=e=>/^-{2,}\s*$/.test(e)?"":/^\s*[-*]\s+/.test(e)?"- "+e.replace(/^\s*[-*]\s+/,""):/^\s*\d+\.\s+/.test(e)?"- "+e.replace(/^\s*\d+\.\s+/,""):/^\s*[•▪‣■◆●]\s*/.test(e)?"- "+e.replace(/^\s*[•▪‣■◆●]\s*/,""):e.trim(),aI=e=>{let t=e.replace(/\t/g," ");return t=nI(t),t=rI(t),t=oI(t),t.trim()},Yt=e=>{if(!e)return"";const n=e.replace(/\r\n/g,`
382`).replace(/\r/g,`
383`).split(`
384`),r=[];let s=!0;return n.forEach(o=>{const i=aI(o);if(!i){!s&&r.length>0&&(r.push(""),s=!0);return}const c=sI(i);if(c){!s&&r.length>0&&r.push(""),r.push(c),s=!1;return}r.push(i),s=!1}),r.join(`
385`).replace(/\n{3,}/g,`
386
387`).trim()},hs=e=>e?e.replace(/\r\n/g,`
388`).replace(/\r/g,`
389`).split(`
390`):[],iI=(e,t)=>{if(!e)return e;const n=hs(e);if(n.length===0)return e;const r=[],s=[];if(t){if(t.fullName){const l=t.fullName.split(/\s+/);r.push(t.fullName.toUpperCase()),r.push(t.fullName),l.forEach(u=>{u.length>2&&r.push(u.toUpperCase())})}t.contactInfo&&s.push(t.contactInfo),t.contactDetails&&(t.contactDetails.email&&s.push(t.contactDetails.email),t.contactDetails.phone&&s.push(t.contactDetails.phone),t.contactDetails.location&&s.push(t.contactDetails.location))}let o=0;const i=4;for(let l=0;l<Math.min(i,n.length);l++){const u=n[l].trim();if(!u){if(l<2)continue;break}const d=r.some(y=>u.toUpperCase().includes(y.toUpperCase())||y.toUpperCase().includes(u.toUpperCase()))||u===u.toUpperCase()&&u.split(/\s+/).length>=2&&u.split(/\s+/).length<=5,p=/[\w.-]+@[\w.-]+\.\w+/.test(u),m=/[\d\s\-\(\)\+]{10,}/.test(u),g=/[A-Z][a-z]+,\s*[A-Z]{2}/.test(u)||/[A-Z][a-z]+,\s*[A-Z][a-z]+/.test(u),_=/\|/.test(u)||/\s+•\s+/.test(u),h=p||m||g||_&&(p||m||g)||s.some(y=>u.includes(y));if(tn(u))break;if(d||h){o=l+1;continue}if(o>0&&!d&&!h)break}const c=n.slice(o);for(;c.length>0&&!c[0].trim();)c.shift();return c.join(`
391`)},cI=(e,t)=>hs(Yt(iI(e||"",t))),cd=(e,t)=>cI(e,t).some(n=>{const r=n.trim();return r.length>0&&!tn(r)}),lI=/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g,Qf=new Set(["com","net","org","io","dev","me","co","app","ai","tech","site","info","biz","edu","gov","in","us","uk","ca","de","fr","au","nl","se","es","it","pt","br","jp","nz","ie","ch"]);function uI(e){const t=(e||"").trim();if(!t||t.length>254||/\s/.test(t))return!1;const n=t.split("@");if(n.length!==2)return!1;const[r,s]=n;if(!r||r.length>64||!/^[A-Za-z0-9._%+-]+$/.test(r)||r.startsWith(".")||r.endsWith(".")||r.includes("..")||!s||s.length>253||!/^[A-Za-z0-9.-]+$/.test(s)||s.startsWith("-")||s.startsWith(".")||s.endsWith("-")||s.endsWith(".")||s.includes(".."))return!1;const o=s.split(".");if(o.length<2||o.some(c=>c.length===0||c.length>63))return!1;const i=o[o.length-1];return/^[A-Za-z]{2,}$/.test(i)}function dI(e,t){const n=e.indexOf("@");if(n<=0)return e;const r=e.slice(0,n),s=e.slice(n),o=t.map(i=>(i||"").trim()).filter(i=>i.length>=2).sort((i,c)=>c.length-i.length);for(const i of o){if(r.length<=i.length)continue;const c=r.slice(0,i.length);if(c.toLowerCase()!==i.toLowerCase())continue;const l=r.slice(i.length);if(!/^[a-z]/.test(l))continue;const u=/^[A-Z]{2,}$/.test(c),d=/^[A-Z][a-z]+$/.test(c);if(u||d&&l.includes("."))return l+s}return e}function pI(e){const t=e.indexOf("@");if(t<=0)return e;const r=e.slice(0,t).match(/^([A-Z]{2,})([a-z][A-Za-z0-9._%+-]*)$/);return r?r[2]+e.slice(t):e}function TP(...e){for(const t of e){const n=(t||"").trim();if(uI(n))return n}return""}function wn(e,t){var u;let n=(e||"").trim();if(!n)return"";(u=t==null?void 0:t.nameTokens)!=null&&u.length&&(n=dI(n,t.nameTokens)),t!=null&&t.capsHeaderContext&&(n=pI(n));const r=n.lastIndexOf("@"),s=n.lastIndexOf(".");if(r<0||s<r)return n;const o=n.slice(s+1),i=o.match(/^([a-z]{2,})(https?|www)$/);if(i&&Qf.has(i[1]))return n.slice(0,s+1)+i[1];const c=o.search(/[A-Z]/);if(c<=0)return n;const l=o.slice(0,c);return l.length<2?n:n.slice(0,s+1)+l}const mI=/(\+?\d{1,3}[-.\s]?)?\(?\d{2,4}\)?[-.\s]?\d{2,4}[-.\s]?\d{2,4}[-.\s]?\d{2,4}/g,fI=/(?:linkedin\.com\/in\/|li\/)([\w-]+)/i,hI=/(?:github\.com\/)([\w-]+)/i,gI=/(https?:\/\/)?[\w.-]+\.[a-z]{2,}(\/\S*)?/i;function yI(e){const t=(e||"").trim();if(!t)return!1;if(/^https?:\/\//i.test(t))return!0;const r=t.split("/")[0].split(".");if(r.length<2)return!1;const s=r[r.length-1];return!/^[a-z]{2,}$/.test(s)||r[r.length-2].length<2?!1:Qf.has(s)}function $n(e,t){if(!e||!e.trim())return{};const n={};let r=e.trim();const s=r.match(lI);if(s&&s.length>0){n.email=wn(s[0].trim(),t);let u=r.replace(s[0],"");

391u=u.replace(/^([A-Z][a-z]+(?:[A-Z][a-z]+)*)\s*[|,]\s*/i,""),u=u.replace(/^([A-Z][a-z]+(?:[A-Z][a-z]+)*)(?=\s*[|,]|\s*\(|\s*\+)/i,""),r=u.trim()}const o=r.match(mI);if(o&&o.length>0){const u=o.find(d=>d.replace(/\D/g,"").length>=10);u&&(n.phone=u.trim(),r=r.replace(u,"").trim())}const i=r.match(fI);i&&(n.linkedIn=`linkedin.com/in/${i[1]}`,r=r.replace(i[0],"").trim());const c=r.match(hI);c&&(n.github=`github.com/${c[1]}`,r=r.replace(c[0],"").trim());const l=r.match(new RegExp(gI,"gi"));if(l)for(const u of l){const d=u.toLowerCase();if(yI(u)&&!d.includes("linkedin.com")&&!d.includes("github.com")){n.portfolio=u.startsWith("http")?u:`https://${u}`,r=r.replace(u,"").trim();break}}return n}function CP(e){const t=[];return e.email&&t.push(e.email),e.phone&&t.push(e.phone),e.linkedIn&&t.push(e.linkedIn),e.github&&t.push(e.github),e.portfolio&&t.push(e.portfolio),e.website&&e.website!==e.portfolio&&t.push(e.website),e.location&&t.push(e.location),t.join(" | ")}function AP(e){if(!e)return"";const t=e.match(/(?:linkedin\.com\/in\/|li\/)([\w-]+)/i);return t?`linkedin.com/in/${t[1]}`:!e.includes("/")&&!e.includes(".")?`linkedin.com/in/${e}`:e.replace(/^https?:\/\//,"")}function IP(e){if(!e)return"";const t=e.match(/(?:github\.com\/)([\w-]+)/i);return t?`github.com/${t[1]}`:!e.includes("/")&&!e.includes(".")?`github.com/${e}`:e.replace(/^https?:\/\//,"")}const _I=210,ji=297,wt=15,Jc=11,xI=_I-wt*2,On=Jc*.33*1.08,ld=ji-wt*2,bI=6,wI=1.5,SI=8,EI=10,vI=1.86,TI=1.95;function CI(e,t,n){if(!e||e.trim().length===0)return 1;const r=Math.floor(t/n);if(r<=0)return 1;const s=e.split(/\s+/);let o=1,i=0;for(const c of s){const l=c.length;i===0?i=l:i+1+l<=r?i+=1+l:(o++,i=l)}return o}function AI(e,t){let n=wt,r=1,s=0;if(t){t.fullName&&(n+=SI);const m=[];t.contactDetails?(t.contactDetails.location&&m.push(t.contactDetails.location),t.contactDetails.phone&&m.push(t.contactDetails.phone),t.contactDetails.email&&m.push(t.contactDetails.email),t.contactDetails.linkedin&&m.push(t.contactDetails.linkedin.replace(/^https?:\/\/(www\.)?linkedin\.com\/in\//,"linkedin.com/in/")),t.contactDetails.portfolio&&m.push(t.contactDetails.portfolio.replace(/^https?:\/\/(www\.)?/,""))):t.contactInfo&&m.push(t.contactInfo),m.length>0&&(n+=EI)}const o=Yt(e),i=hs(o),c=m=>{for(let g=m+1;g<i.length;g++){const _=Ee(i[g]);if(_)return _}return""};for(let m=0;m<i.length;m++){const g=Ee(i[m]);if(!g){const C=c(m);n+=tn(C)?On*1:On*.4,s++,n+On>ji-wt&&(r++,n=wt);continue}const _=tn(g),h=Wc(g),y=g.startsWith("- "),b=y?g.replace(/^-+\s*/,""):g,x=y?"- ":"",w=xI-(y?bI:0),E=_||h?TI:vI,T=CI(`${x}${b}`,w,E);for(let C=0;C<T;C++)n+On>ji-wt&&(r++,n=wt),n+=On,s++;_?n+=wI:h&&c(m).startsWith("- ")&&(n+=1.2)}const l=Math.floor(ld/On),u=n-wt,d=Math.round(u/ld*100),p=e.split(/\s+/).filter(m=>m.length>0).length;return{estimatedPages:r,totalRenderedLines:s,wordCount:p,lastPageY:n,linesPerPage:l,lastPageFillPercent:Math.min(100,Math.max(0,d))}}let _e=null;function II(e,t,n){const r=`parse_${Date.now()}_${Math.random().toString(36).substr(2,9)}`;return _e={sessionId:r,fileName:e,fileType:t,fileSize:n,startTime:Date.now(),overallStatus:"success",operations:[],fieldResults:[],confidenceScore:0,usedOcrFallback:!1,isLinkedInPdf:!1},console.log(`[Parsing] Session started: ${r} for ${e} (${t}, ${n} bytes)`),r}function no(e,t,n,r,s,o,i){if(!_e){console.warn("[Parsing] No active session for operation recording");return}const c={operation:e,status:t,durationMs:n,inputSize:r,outputSize:s,errorMessage:o,metadata:i};_e.operations.push(c),t==="failed"?_e.overallStatus="failed":t==="partial"&&_e.overallStatus==="success"&&(_e.overallStatus="partial"),console.log(`[Parsing] ${e}: ${t} (${n}ms)`)}function RI(e,t,n,r){_e&&_e.fieldResults.push({field:e,extracted:t,confidence:n,source:r})}function kI(e){_e&&(_e.usedOcrFallback=e)}function NI(e){_e&&(_e.isLinkedInPdf=e)}function jI(e){const t=["fullName","experience","skills","education"],n={fullName:25,experience:30,skills:20,education:15,summary:5,contactInfo:5};let r=0,s=0;for(const i of e.fieldResults){const c=n[i.field]||1;r+=c,i.extracted&&(s+=c*i.confidence)}for(const i of t)e.fieldResults.find(l=>l.field===i&&l.extracted)||(s-=10);e.usedOcrFallback&&(s*=.85);const o=r>0?Math.max(0,Math.min(100,s/r*100)):0;return Math.round(o)}function ud(){if(!_e)return console.warn("[Parsing] No active session to end"),null;_e.endTime=Date.now(),_e.totalDurationMs=_e.endTime-_e.startTime,_e.confidenceScore=jI(_e);const e={..._e};return mc("resume_parsed",{sessionId:e.sessionId,fileType:e.fileType,fileSize:e.fileSize,totalDurationMs:e.totalDurationMs,overallStatus:e.overallStatus,confidenceScore:e.confidenceScore,usedOcrFallback:e.usedOcrFallback,isLinkedInPdf:e.isLinkedInPdf,operationCount:e.operations.length,fieldsExtracted:e.fieldResults.filter(t=>t.extracted).length,fieldsMissing:e.fieldResults.filter(t=>!t.extracted).length}),console.log(`[Parsing] Session ${e.sessionId} completed:`,{status:e.overallStatus,confidence:e.confidenceScore,duration:e.totalDurationMs,ocrUsed:e.usedOcrFallback}),_e=null,e}function eh(e,t,n){const r=t instanceof Error?t.message:String(t);_e&&no(e,"failed",0,0,void 0,r),Go("parsing_error",t,{operation:e,sessionId:_e==null?void 0:_e.

391sessionId,fileType:_e==null?void 0:_e.fileType,...n})}class ht{constructor(t,n){Le(this,"operation");Le(this,"startTime");Le(this,"inputSize");this.operation=t,this.startTime=Date.now(),this.inputSize=n}success(t,n){const r=Date.now()-this.startTime;no(this.operation,"success",r,this.inputSize,t,void 0,n)}partial(t,n){const r=Date.now()-this.startTime;no(this.operation,"partial",r,this.inputSize,t,void 0,n)}failed(t){const n=Date.now()-this.startTime,r=t instanceof Error?t.message:t;no(this.operation,"failed",n,this.inputSize,void 0,r)}}const LI=50,PI=10*1024*1024;async function dd(e,t,n=2){const r=await e.getPage(t),s=r.getViewport({scale:n}),o=document.createElement("canvas");o.width=s.width,o.height=s.height;const i=o.getContext("2d");if(!i)throw new Error("Failed to get canvas context");return await r.render({canvasContext:i,viewport:s}).promise,o.toDataURL("image/jpeg",.85)}async function pd(e,t){var o;const n=mt(),r=e.replace(/^data:image\/\w+;base64,/,""),s=`You are an expert OCR system. Extract ALL text from this resume image exactly as it appears.
392
393**CRITICAL INSTRUCTIONS:**
3941. Extract EVERY word, number, and symbol visible in the image
3952. Preserve the original layout and structure as much as possible
3963. Use line breaks to separate distinct lines of text
3974. Use consistent formatting for section headers
3985. Extract bullet points as "- " prefixed lines
3996. Preserve dates, company names, and job titles exactly as written
4007. Extract contact information (email, phone, URLs) accurately
4018. Do NOT add any commentary or interpretation
4029. Do NOT skip any text, even if it seems unimportant
403
404Output the extracted text only, with no additional formatting or explanation.`;try{return((o=(await n.models.generateContent({model:Ue.FLAGSHIP,contents:[{role:"user",parts:[{inlineData:{mimeType:"image/jpeg",data:r}},{text:`Extract ALL text from this resume image (page ${t}). Output the raw text only, preserving structure.`}]}],config:{systemInstruction:s,temperature:.1}})).text)==null?void 0:o.trim())||""}catch(i){throw console.error(`[OCR] Failed to extract text from page ${t}:`,i),i}}function OI(e){if(!e)return!1;const t=e.replace(/\s+/g," ").trim();if(t.length<LI)return!1;const n=/[a-zA-Z]{3,}/g,r=t.match(n);return r!==null&&r.length>=10}async function DI(e,t){const n=new ht("pdf_ocr_fallback",0);try{const r=e.numPages,s=[];console.log(`[OCR] Starting OCR extraction for ${r} pages`),kI(!0);for(let c=1;c<=r;c++){t==null||t(c,r),console.log(`[OCR] Processing page ${c}/${r}`);try{const l=await dd(e,c),u=l.length*3/4;if(u>PI){console.warn(`[OCR] Page ${c} image too large (${Math.round(u/1024/1024)}MB), reducing quality`);const d=await dd(e,c,1),p=await pd(d,c);s.push(p)}else{const d=await pd(l,c);s.push(d)}c<r&&await new Promise(d=>setTimeout(d,300))}catch(l){console.error(`[OCR] Failed to process page ${c}:`,l),s.push(`[Page ${c} extraction failed]`)}}const o=s.join(`
405
406--- Page Break ---
407
408`).trim(),i=MI(o,r);return n.success(o.length,{pageCount:r,confidence:i}),{text:o,confidence:i,pageCount:r,usedOcr:!0}}catch(r){throw n.failed(r),r}}function MI(e,t){if(!e)return 0;let n=50;const r=[/experience|employment|work history/i,/education|academic|degree/i,/skills|technologies|proficient/i,/email|phone|\d{3}[-.]?\d{3}[-.]?\d{4}/i,/[a-zA-Z]+@[a-zA-Z]+\.[a-zA-Z]+/];for(const o of r)o.test(e)&&(n+=8);const s=e.length/t;return s>500&&(n+=10),s>1e3&&(n+=10),/^\s*[-•*]\s/m.test(e)&&(n+=5),/^[A-Z][A-Z\s]+$/m.test(e)&&(n+=5),Math.min(95,n)}async function UI(e,t){var c;if(typeof window.pdfjsLib>"u")throw new Error("PDF parsing library is not loaded. Please refresh the page.");const n=window.pdfjsLib;n.GlobalWorkerOptions.workerSrc||(n.GlobalWorkerOptions.workerSrc="https://cdnjs.cloudflare.com/ajax/libs/pdf.js/3.11.174/pdf.worker.min.js"),t==null||t("Loading PDF...",0);const r=await n.getDocument({data:e}).promise,s=r.numPages;t==null||t("Extracting text...",10);let o="";for(let l=1;l<=s;l++){const d=await(await r.getPage(l)).getTextContent();if((c=d==null?void 0:d.items)!=null&&c.length){const p=d.items.map(m=>m.str||"").join(" ");o+=p+`
409`}t==null||t(`Extracting page ${l}/${s}...`,10+l/s*40)}if(OI(o))return console.log("[PDF] Standard text extraction successful"),{text:o.trim(),confidence:95,pageCount:s,usedOcr:!1};console.log("[PDF] Standard extraction yielded insufficient text, falling back to OCR"),t==null||t("Scanned document detected, starting OCR...",50);const i=await DI(r,(l,u)=>{const d=50+l/u*50;t==null||t(`OCR processing page ${l}/${u}...`,d)});return t==null||t("OCR complete",100),i}const th=e=>{const t=["www.linkedin.com/in/","linkedin.com/in/","Downloaded from LinkedIn","Profile exported from LinkedIn","Skills & Endorsements","Recommendations","Volunteer Experience","Honors & Awards","Publications","Endorsed by","connections"],n=e.toLowerCase();let r=0;for(const s of t)n.includes(s.toLowerCase())&&r++;return r>=2},FI=()=>`
410This appears to be a LinkedIn profile export. Please note:
411
4121. SECTION HEADERS: LinkedIn uses these standard headers:
413   - "About" for professional summary
414   - "Experience" for work history
415   - "Education" for degrees
416   - "Skills & Endorsements" or "Skills" for skills list
417   - "Licenses & Certifications" for certifications
418
4192. EXPERIENCE FORMAT: LinkedIn experiences typically include:
420   - Job Title
421   - Company · Employment Type (Full-time, Part-time, etc.)
422   - Date range (Month Year - Month Year or Present)
423   - Location (City, State/Country)
424   - Description/accomplishments
425
4263. ENDORSEMENTS: Ignore skill endorsement counts (e.g., "Python (45+)")
427
4284. CONNECTIONS: Ignore connection count references
429
4305. RECOMMENDATIONS: While valuable, focus on extracting work experience details
431`.trim(),$I=e=>e.replace(/\s*\(\d+\+?\)/g,"").replace(/\s*·\s*(Full-time|Part-time|Contract|Freelance|Internship)/gi,"").replace(/\d+\+?\s+connections?/gi,"").replace(/Page \d+ of \d+/gi,"").replace(/\s+/g," ").trim(),RP=()=>["Make sure your LinkedIn profile is up-to-date before exporting","Include detailed descriptions for your roles and accomplishments","LinkedIn PDFs work best when exp

431orted from desktop (not mobile)","The AI will automatically extract and format your information","You can edit and refine everything after import"],BI=async e=>{const t=await fetch(e);if(!t.ok)throw new Error(`Failed to load file from uri: ${e}`);return await t.blob()},zI=async e=>{if(typeof File<"u"&&e instanceof File)return e;const t=e,n=await BI(t.uri);if(typeof File<"u")return new File([n],t.name,{type:t.type||n.type});throw new Error("File API is not available in this environment")},GI=async e=>{const t=await e.arrayBuffer(),n=await crypto.subtle.digest("SHA-256",t);return Array.from(new Uint8Array(n)).map(s=>s.toString(16).padStart(2,"0")).join("")},nh=async(e,t)=>{const n=await zI(e);II(n.name,n.type||"unknown",n.size);const r=new ht("text_extraction",n.size);try{if(!n)throw new Error("No file provided for parsing.");const s=10*1024*1024;if(n.size>s)throw new Error(`File is too large (${(n.size/1024/1024).toFixed(2)}MB). Maximum size is 10MB.`);if(n.size<50)throw new Error("File appears to be empty or too small to parse.");if(n.type==="text/plain"||n.name.endsWith(".txt")){const o=new ht("text_extraction",n.size);return new Promise((i,c)=>{const l=new FileReader;l.onload=u=>{try{const d=u.target||u.currentTarget;if(!d||typeof d.result!="string")throw new Error("Failed to read text file content.");const p=d.result,m=Ee(p);if(!m||m.length<50)throw new Error("Text file is too short or empty.");o.success(m.length),r.success(m.length),i(m)}catch(d){o.failed(d),c(d)}},l.onerror=()=>{o.failed(new Error("FileReader error")),c(new Error("Failed to read the text file."))},l.readAsText(n)})}if(n.type==="application/pdf"){const o=new ht("pdf_text_extraction",n.size);try{const i=await n.arrayBuffer(),c=await UI(i,t);return th(c.text)&&NI(!0),o.success(c.text.length,{usedOcr:c.usedOcr}),r.success(c.text.length),c.text}catch(i){throw o.failed(i),i}}if(n.type==="application/vnd.openxmlformats-officedocument.wordprocessingml.document"){const o=new ht("docx_extraction",n.size);try{const i=await n.arrayBuffer();if(typeof mammoth>"u")throw new Error("DOCX parsing library is not loaded.");let c="";try{const u=await mammoth.convertToHtml({arrayBuffer:i});if(u!=null&&u.value){const d=document.createElement("div");d.innerHTML=u.value,c=d.textContent||d.innerText||""}}catch{console.warn("HTML conversion failed, falling back to raw text")}(!c||Ee(c).length===0)&&(c=(await mammoth.extractRawText({arrayBuffer:i})).value||"");const l=Ee(c);if(!l)throw new Error("DOCX contains no readable text.");return o.success(l.length),r.success(l.length),l}catch(i){throw o.failed(i),i}}if(n.type==="application/rtf"||n.name.endsWith(".rtf")){const o=new ht("text_extraction",n.size);return new Promise((i,c)=>{const l=new FileReader;l.onload=u=>{try{const d=u.target||u.currentTarget;if(!d||typeof d.result!="string")throw new Error("Failed to read RTF file content.");const p=`[RTF SOURCE DOCUMENT]
432
433${d.result}`;o.success(p.length),r.success(p.length),i(p)}catch(d){o.failed(d),c(d)}},l.readAsText(n)})}throw new Error(`Unsupported file type: ${n.type||"unknown"}.`)}catch(s){throw r.failed(s),eh("text_extraction",s),s}},kP=(e,t,n,r,s)=>{const o=i=>{console.error(i),r&&r(i)};try{let i=22,c=276,l=80,u=120,d=40,p=40,m=20;if(s)try{const x=AI(e,n||void 0);if(x.estimatedPages!==s){const w=x.estimatedPages>s;console.log(`[exportToDocx] Page estimate: ${x.estimatedPages} (target: ${s}). Adjusting formatting...`),w?(i=21,c=252,l=40,u=80,d=20,p=20,m=10):(i=23,c=300,l=120,u=160,d=60,p=60,m=40)}}

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446
447**CRITICAL: NAME EXTRACTION:**
448- The fullName field is the MOST IMPORTANT field - extract it from the very top of the resume (usually the first line or header)
449- fullName should be the person's complete name as it appears on the resume (e.g., "John Smith", "Jane A. Doe", "Maria Garcia")
450- Extract firstName as the first word of fullName (e.g., "John" from "John Smith")
451- Extract lastName as the last word of fullName (e.g., "Smith" from "John Smith")
452- If the name appears in the header or first few lines, use that exact name
453- Do NOT use job titles, company names, or other text as the name
454- The name is typically at the very top of the resume, before any other content
455
456**CRITICAL: PREVENT VERBATIM COPY-PASTE OF LONG TEXT:**
457- Extract all information comprehensively, but do NOT copy page-long paragraphs verbatim
458- For work experience descriptions: Extract key bullet points and accomplishments. If a description is extremely long (more than 200 words), extract the most important points rather than copying everything verbatim

459- For summaries: Extract the key points. If the summary is very long, extract the most important 2-4 sentences
460- Preserve all factual information (job titles, companies, dates, locations, achievements) exactly as written
461- But for narrative text (descriptions, summaries), extract and structure the information rather than copying huge blocks verbatim
462
463**Rules:**
464- Respect every section boundary
465- Extract all accomplishments, dates, and location strings
466- Never drop important information
467- If a section is missing, return an empty array for it
468- Do not invent information
469- For long text blocks, extract key points rather than copying verbatim
470- **PRIORITY: Extract the name from the top of the resume - it's usually the first line or in the header section**
471
472Respond with JSON only.`,d2=`You specialize in extracting structured work experience from resume text. Given only the Experience section, output an array of jobs sorted from most recent to oldest.
473
474**CRITICAL: PREVENT VERBATIM COPY-PASTE OF LONG TEXT:**
475- Extract all accomplishments and responsibilities comprehensively
476- If a job description is extremely long (more than 200 words per entry), extract the most important and impactful points
477- Do NOT copy huge paragraphs or page-long text verbatim - extract key achievements, results, and responsibilities
478- Preserve dates, job titles, and company names exactly as written
479- For descriptions: Extract key bullet points. If the original is very long, condense to the most important accomplishments (3-6 sentences, 15-150 words per accomplishment)
480
481**Rules:**
482- Preserve dates exactly
483- Extract all accomplishments and responsibilities
484- Sort from most recent to oldest
485- Do not add commentary
486- Do not copy page-long text verbatim - extract and structure the information`,p2="You specialize in extracting structured education history from resume text. Given only the Education section, return an array of entries with degree, university, and date strings exactly as written. No commentary.",m2="You specialize in extracting skills lists from resumes. Return a simple array of individual skills/technologies derived from the provided section. Drop duplicates and blank strings.",f2=async(e,t)=>{const n=mt(),r=`
487---
488**EXISTING PROFILE (CAREER DIARY):**
489${JSON.stringify(e,null,2)}
490---
491**NEW PROFILE CANDIDATE (STRUCTURED JSON):**
492${JSON.stringify(t,null,2)}
493---
494Please merge the new resume into the existing profile according to the rules.
495`;try{const s=await n.models.generateContent({model:Ue.STANDARD,contents:[{role:"user",parts:[{text:r}]}],config:{systemInstruction:l2,responseMimeType:"application/json",responseSchema:o2}}),o=JSON.parse((s.text||"").trim());if(!o.mergedProfile||!o.mergeSummary)throw new Error("AI response for merging is missing required fields.");return ah(o.mergedProfile.experience),o}catch(s){throw console.error("Error merging profiles:",s),new Error("The AI could not merge the new resume with your profile.")}},h2=async(e,t)=>{const n=mt(),r=new ht("llm_json_conversion",e.length);try{const s=th(e);console.log(`[ProfileService] LinkedIn PDF detected: ${s}`);const o=s?$I(gd(e)):gd(e),i=new ht("section_segmentation",o.length),c=ZI(o);if(!c||c.length===0)throw i.failed("No sections found"),new Error("Resume text could not be parsed into sections. Please ensure your resume has clear section headings (e.g., Experience, Education, Skills).");i.success(c.length);const l=new ht("identity_extraction",o.length),u=e2(c,o);l.success();const d=g2(c);if(!d||d.trim().length===0)throw new Error("Resume sections are empty. Please ensure your resume has clear section headings with content.");const p=y2(u),g=["You will be given normalized resume sections. Convert them into structured JSON that follows the schema.",p?`Identity hints:
496${p}`:"",s?FI():"","Sections:",d||""].filter(Boolean).join(`
497
498`).trim();if(!g||typeof g!="string"||g.length<10)throw new Error("Resume text is too short or cannot be parsed into sections. Please ensure your resume has clear section headings (e.g., Experience, Education, Skills).");const _=new ht("llm_json_conversion",g.length);try{const h=await Qo(n,g,u2,gs);_.success(JSON.stringify(h).length);const y=new ht("profile_enrichment",JSON.stringify(h).length),b=await x2(n,h,c,u,t);y.success(JSON.stringify(b).length);const x=ih(b),w=(T,C,S=.9)=>{const A=!!C&&(Array.isArray(C)?C.length>0:!0);let R=S;A?typeof C=="string"&&C.length<3&&(R*=.5):R=0,RI(T,A,R,"ai")};w("fullName",x.fullName,.95),w("experience",x.experience,.9),w("education",x.education,.85),w("skills",x.skills,.8),w("summary",x.summary,.85),w("contactInfo",x.contactInfo,.9),r.success(JSON.stringify(x).length);const E=ud();return E&&(x.parsingConfidence=E.confidenceScore,x.parsingSessionId=E.sessionId),x}catch(h){throw _.failed(h),h}}catch(s){r.failed(s),eh("llm_json_conversion",s),ud(),console.error("Error parsing resume to JSON:",s);const o=s instanceof Error?s.message:String(s),i=YI(o);throw i?new Error(i):o.includes("JSON")?new Error("The AI returned an invali

498d response format. Please try uploading a clearer resume or a different file format."):o.includes("timeout")?new Error("Resume parsing timed out. Your resume may be too large or complex. Try a simpler format."):new Error("The AI could not read this resume's structure. Please ensure it's a standard resume format with clear section headings.")}},g2=e=>e.length?e.map(t=>`### ${t.title}
499${t.content}`).join(`
500
501`).trim():"",y2=e=>{var s,o;const t=[],n=e.contactInfo?$n(e.contactInfo):void 0,r=[n==null?void 0:n.email,n==null?void 0:n.phone,n==null?void 0:n.linkedIn,n==null?void 0:n.github,(n==null?void 0:n.website)||(n==null?void 0:n.portfolio)].filter(Boolean);return e.probableName&&t.push(`Probable full name: ${e.probableName}`),r.length&&t.push(`Contact details detected: ${r.join(" | ")}`),(s=e.emails)!=null&&s.length&&t.push(`Emails: ${e.emails.map(i=>wn(i)).join(", ")}`),(o=e.phones)!=null&&o.length&&t.push(`Phone numbers: ${e.phones.join(", ")}`),t.join(`
502`)},Rs=(e,t)=>{var n,r;return((r=(n=e.find(s=>s.key===t))==null?void 0:n.content)==null?void 0:r.trim())??""},_2=async(e,t,n)=>{var i,c,l;const r=t.split(/\s+/).filter(Boolean).length,s=`You are an expert career writer. Transform the provided resume summary into a polished, professional narrative summary.
503
504**CRITICAL REQUIREMENTS:**
5051. **TRUTHFULNESS (MOST IMPORTANT):** Only include information that can be verified from the source text. Do NOT invent metrics, achievements, or details.
5062. **Length:** 2-4 sentences (20-100 words). Be concise and impactful, but comprehensive enough to be meaningful.
5073. **Style:** Professional, clear, and results-focused. Avoid fluff or generic statements.
5084. **Grammar & Spelling:** Use correct grammar, spelling, and punctuation.
5095. **Context:** The summary should make sense on its own and accurately represent the person's background.
510
511**CRITICAL: PREVENT VERBATIM COPY-PASTE:**
512${r>150?"- **The source text is VERY LONG** - you MUST condense it significantly. Extract only the most important points.":""}
513- If the source text is long (more than 100 words), extract and refine the most important 2-4 sentences
514- If the source text is too short, expand it ONLY with information that's clearly implied from the experience section
515- **Rewrite in a natural, narrative style - NOT verbatim copy-paste**
516- Focus on role, key strengths, and standout achievements
517- Ensure every claim can be verified from the source material
518- **Do NOT copy long paragraphs verbatim - always rewrite and condense**`,o=`
519**SOURCE SUMMARY TEXT:**
520${t}
521
522**ADDITIONAL CONTEXT (from parsed profile):**
523${((i=n.experience)==null?void 0:i.length)>0?`Most recent role: ${(c=n.experience[0])==null?void 0:c.jobTitle} at ${(l=n.experience[0])==null?void 0:l.company}`:"No experience data available"}
524
525**TASK:**
526Transform the source summary into a polished, professional narrative summary (2-4 sentences, 20-100 words) that:
527- Is NOT a verbatim copy of the source
528- Is written in natural, narrative style
529- Only includes verifiable information
530- Meets length guidelines (20-100 words)
531- Is grammatically correct and well-written
532${r>150?`
533- **IMPORTANT:** The source is very long - you MUST condense it significantly. Extract only the most important and impactful points.`:""}`;try{const u=await e.models.generateContent({model:Ue.STANDARD,contents:[{role:"user",parts:[{text:o}]}],config:{systemInstruction:s,temperature:.3}}),d=Ee(u.text||t),p=`Source summary: ${t}
534Profile context: ${JSON.stringify(n,null,2)}`,m=await Kf(d,"summary",p,t);return m.isTruthful&&m.reviewedText?m.reviewedText:d}catch(u){return console.warn("[ProfileService] Failed to generate narrative summary:",u),t}},Qo=async(e,t,n,r)=>{if(!t||typeof t!="string"||t.trim().length===0)throw new Error("Prompt is required and must be a non-empty string. Resume sections could not be parsed correctly.");if(!n||typeof n!="string"||n.trim().length===0)throw new Error("System instruction is required and must be a non-empty string.");const s=await e.models.generateContent({model:Ue.FLAGSHIP,contents:[{role:"user",parts:[{text:t.trim()}]}],config:{systemInstruction:n,responseMimeType:"application/json",responseSchema:r}});return v2(s.text)}

534,x2=async(e,t,n,r,s)=>{var _;if(s!=null&&s.skipEnrichment){const h={...t};if(!h.fullName&&r.probableName&&(h.fullName=r.probableName),h.fullName&&(h.fullName=h.fullName.trim().replace(/\s+/g," ")),h.fullName&&(!h.firstName||!h.lastName)){const y=h.fullName.trim().split(/\s+/).filter(Boolean);y.length>=2&&(h.firstName=h.firstName||y[0],h.lastName=h.lastName||y[y.length-1])}return!h.contactInfo&&r.contactInfo&&(h.contactInfo=r.contactInfo),h}const o={...t},i=Rs(n,"summary"),c=Rs(n,"experience"),l=Rs(n,"education"),u=Rs(n,"skills");if(!o.fullName&&r.probableName&&(o.fullName=r.probableName),o.fullName){o.fullName=o.fullName.trim().replace(/\s+/g," ");const h=/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/,y=/(\+?\d{1,3}[-.\s]?)?\(?\d{2,4}\)?[-.\s]?\d{2,4}[-.\s]?\d{2,4}[-.\s]?\d{2,4}[-.\s]?\d{2,4}/;(h.test(o.fullName)||y.test(o.fullName))&&(console.warn("[Name Parsing] fullName contains email/phone, clearing it"),o.fullName="")}if(o.fullName&&(!o.firstName||!o.lastName)){const h=o.fullName.trim().split(/\s+/).filter(Boolean);h.length>=2?(o.firstName=o.firstName||h[0],o.lastName=o.lastName||h[h.length-1]):h.length===1&&(o.firstName=o.firstName||h[0],o.lastName=o.lastName||"")}const d=/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/,p=/(\+?\d{1,3}[-.\s]?)?\(?\d{2,4}\)?[-.\s]?\d{2,4}[-.\s]?\d{2,4}[-.\s]?\d{2,4}[-.\s]?\d{2,4}/;if(o.firstName&&(d.test(o.firstName)||p.test(o.firstName))&&(console.warn("[Name Parsing] firstName contains invalid content, clearing it"),o.firstName=""),o.lastName&&(d.test(o.lastName)||p.test(o.lastName))&&(console.warn("[Name Parsing] lastName contains invalid content, clearing it"),o.lastName=""),!o.contactInfo&&r.contactInfo&&(o.contactInfo=r.contactInfo),o.contactInfo&&!o.contactDetails){const h=$n(o.contactInfo);(h.email||h.phone||h.linkedIn||h.github||h.website)&&(o.contactDetails=h)}if((!o.contactDetails||!o.contactDetails.email&&!o.contactDetails.phone)&&(r.emails.length>0||r.phones.length>0||r.links.length>0)){const h=[...r.emails,...r.phones,...r.links].join(" | "),y=$n(h);(y.email||y.phone||y.linkedIn||y.github||y.website)&&(o.contactDetails={...o.contactDetails,...y})}if(o.contactDetails&&(o.contactDetails.email||o.contactDetails.phone||o.contactDetails.linkedIn||o.contactDetails.github||o.contactDetails.website)){const h=[];o.contactDetails.email&&h.push(o.contactDetails.email),o.contactDetails.phone&&h.push(o.contactDetails.phone),o.contactDetails.linkedIn&&h.push(o.contactDetails.linkedIn),o.contactDetails.github&&h.push(o.contactDetails.github),o.contactDetails.website&&h.push(o.contactDetails.website),h.length>0&&(o.contactInfo=h.join(" | "))}else if(o.contactInfo){const h=$n(o.contactInfo),y=[];h.email&&y.push(h.email),h.phone&&y.push(h.phone),h.linkedIn&&y.push(h.linkedIn),h.github&&y.push(h.github);const b=h.website||h.portfolio;b&&y.push(b),y.length>0&&(o.contactInfo=y.join(" | "),o.contactDetails||(o.contactDetails=h))}if(!o.location){if(Array.isArray(o.experience)&&o.experience.length>0){const b=o.experience[0];b.location&&b.location.trim()&&(o.location=b.location.trim())}const y=(((_=n.find(b=>b.key==="general"))==null?void 0:_.content)||"").match(/([A-Z][a-z]+(?:[\s-][A-Z][a-z]+)*,\s*(?:[A-Z]{2,3}|[A-Z][a-z]+(?:\s[A-Z][a-z]+)*))(?![@\d])/);y&&(o.location=y[1])}if(i&&i.trim().length>0)try{const h=i.replace(/\n+/g," ").trim(),y=h.split(/\s+/).filter(Boolean).length;if(y>100||y<15||!o.summary)console.log("[ProfileService] Processing summary to ensure quality (raw length:",y,"words)"),o.summary=await _2(e,h,o);else if(o.summary){const b=`Source summary: ${h}
535Profile: ${JSON.stringify(o,null,2)}`,x=await Kf(o.summary,"summary",b,h);x.isTruthful&&x.reviewedText&&(o.summary=x.reviewedText)}}catch(h){console.warn("[ProfileService] Failed to process summary, using raw version:",h),o.summary=i.replace(/\n+/g," ").trim()}const m=t2(u);if(m.length){const h=Array.isArray(o.skills)?o.skills:[];o.skills=Array.from(new Set([...h,...m]))}if((!Array.isArray(o.education)||o.education.length===0)&&l){const h=s2(l).filter(y=>y.degree||y.university);h.length&&(o.education=h.map((y,b)=>({id:`edu_hint_${b}`,degree:y.degree,university:y.university,dates:y.dates})))}if((!Array.isArray(o.experience)||o.experience.length===0)&&c){const h=await b2(e,c);

535h.length&&(o.experience=h)}if((!Array.isArray(o.education)||o.education.length===0)&&l){const h=await w2(e,l);h.length&&(o.education=h)}if(!(Array.isArray(o.skills)&&o.skills.length>0)&&u){const h=await S2(e,u);h.length&&(o.skills=h)}if(!(s!=null&&s.skipEnrichment)&&Array.isArray(o.experience)&&o.experience.length>0){console.log("[ProfileService] Standardizing accomplishments for",o.experience.length,"experience entries");for(let h=0;h<o.experience.length;h++){const y=o.experience[h];if(!Array.isArray(y.accomplishments)&&Array.isArray(y.description)&&(y.accomplishments=y.description.map((b,x)=>({id:`acc_${y.id||`exp_${h}`}_${x}`,description:b,skills:[]}))),Array.isArray(y.accomplishments)&&y.accomplishments.length>0){y.accomplishments.some(x=>(x.description||"").split(/\s+/).filter(Boolean).length>200)&&console.warn(`[ProfileService] Detected very long accomplishment(s) for ${y.jobTitle} at ${y.company} - will condense during standardization`);try{console.log(`[ProfileService] Standardizing ${y.accomplishments.length} accomplishments for ${y.jobTitle} at ${y.company}`);const x=await WA({id:y.id||`exp_${h}`,jobTitle:y.jobTitle||"",company:y.company||"",location:y.location||"",dates:y.dates||"",description:y.description||[],accomplishments:y.accomplishments});y.accomplishments=x,console.log(`[ProfileService] Standardized ${x.length} accomplishments for ${y.jobTitle}`),h<o.experience.length-1&&await new Promise(w=>setTimeout(w,500))}catch(x){console.warn(`[ProfileService] Failed to standardize accomplishments for ${y.jobTitle} at ${y.company}:`,x)}}}}else if(Array.isArray(o.experience)&&o.experience.length>0){for(let h=0;h<o.experience.length;h++){const y=o.experience[h];!Array.isArray(y.accomplishments)&&Array.isArray(y.description)&&(y.accomplishments=y.description.map((b,x)=>({id:`acc_${y.id||`exp_${h}`}_${x}`,description:b,skills:[]})))}console.log("[ProfileService] Skipped accomplishment enrichment (fast path)")}return o},b2=async(e,t)=>{if(!(t!=null&&t.trim()))return[];try{return await Qo(e,`Extract detailed work experience records from the EXPERIENCE section delimited below.
536<<<
537${t}
538>>>`,d2,a2)}catch(n){return console.warn("Experience section fallback parse failed:",n),[]}},w2=async(e,t)=>{if(!(t!=null&&t.trim()))return[];try{return await Qo(e,`Extract structured education entries from the EDUCATION section shown below.
539<<<
540${t}
541>>>`,p2,i2)}catch(n){return console.warn("Education section fallback parse failed:",n),[]}},S2=async(e,t)=>{if(!(t!=null&&t.trim()))return[];try{return await Qo(e,`List individual skills, technologies, or tools found in the SKILLS section below.
542<<<
543${t}
544>>>`,m2,c2)}catch(n){return console.warn("Skills section fallback parse failed:",n),[]}},Te=e=>typeof e=="string"?e.trim():"",Bn=e=>Array.isArray(e)?e.map(t=>typeof t=="string"?t.trim():"").filter(t=>t.length>0):typeof e=="string"&&e.trim().length>0?[e.trim()]:[],ah=e=>Array.isArray(e)?(e.forEach((t,n)=>{t.id=Te(t.id)||`exp_${n}`,t.jobTitle=Te(t.jobTitle),t.company=Te(t.company),t.location=Te(t.location),t.dates=Te(t.dates);const r=Bn(t.description);t.description=r,Array.isArray(t.accomplishments)&&t.accomplishments.length>0?t.accomplishments=t.accomplishments.map((s,o)=>({id:Te(s.id)||`acc_${t.id}_${o}`,description:Te(s.description)||(r[o]??""),skills:Bn(s.skills)})):r.length>0?t.accomplishments=r.map((s,o)=>({id:`acc_${t.id}_${o}`,description:s,skills:[]})):((t.jobTitle||t.company)&&console.warn(`Experience entry "${t.jobTitle}" at "${t.company}" has no accomplishments or description. This may indicate a parsing issue.`),t.accomplishments=[])}),e):[],E2=e=>Array.isArray(e)?e.map((t,n)=>({id:Te(t.id)||`edu_${n}`,degree:Te(t.degree),university:Te(t.university),dates:Te(t.dates)})):[],ih=e=>{var n,r;const t={fullName:Te(e.fullName),contactInfo:Te(e.contactInfo),summary:Te(e.summary),experience:ah(e.experience),education:E2(e.education),skills:Array.from(new Set(Bn(e.skills))),locked:!!e.locked,jobPreferences:T2(e.jobPreferences)};if(e.firstName&&(t.firstName=Te(e.firstName)),e.lastName&&(t.lastName=Te(e.lastName)),t.fullName&&(!t.firstName||!t.lastName)){const s=t.fullName.trim().split(/\s+/).filter(

544Boolean);s.length>=2?(t.firstName=t.firstName||s[0],t.lastName=t.lastName||s[s.length-1]):s.length===1&&(t.firstName=t.firstName||s[0])}if(e.contactDetails&&typeof e.contactDetails=="object")t.contactDetails={email:wn(Te(e.contactDetails.email)||""),phone:Te(e.contactDetails.phone),linkedIn:Te(e.contactDetails.linkedIn),github:Te(e.contactDetails.github),website:Te(e.contactDetails.website||e.contactDetails.portfolio),portfolio:Te(e.contactDetails.portfolio),location:Te(e.contactDetails.location)},t.contactDetails.phone||delete t.contactDetails.phone,t.contactDetails.linkedIn||delete t.contactDetails.linkedIn,t.contactDetails.github||delete t.contactDetails.github,t.contactDetails.website||delete t.contactDetails.website,t.contactDetails.portfolio||delete t.contactDetails.portfolio,t.contactDetails.location||delete t.contactDetails.location;else if(t.contactInfo){const s=$n(t.contactInfo);s.email&&(t.contactDetails={email:s.email,...s});const o=[];s.email&&o.push(s.email),s.phone&&o.push(s.phone),s.linkedIn&&o.push(s.linkedIn),s.github&&o.push(s.github);const i=s.website||s.portfolio;i&&o.push(i),o.length>0&&(t.contactInfo=o.join(" | "))}if(e.location){const s=Te(e.location);if(s){if(!t.contactDetails){const o=(n=t.contactInfo)==null?void 0:n.match(/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/);t.contactDetails={email:o?wn(o[0]):""}}t.contactDetails&&(t.contactDetails.location=s)}}else if(t.experience&&t.experience.length>0){const s=t.experience[0];if(s.location){if(!t.contactDetails){const o=(r=t.contactInfo)==null?void 0:r.match(/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/);t.contactDetails={email:o?wn(o[0]):""}}t.contactDetails&&(t.contactDetails.location=s.location)}}if(t.contactDetails&&(t.contactDetails.email||t.contactDetails.phone||t.contactDetails.linkedIn||t.contactDetails.github||t.contactDetails.website)){const s=[];t.contactDetails.email&&s.push(t.contactDetails.email),t.contactDetails.phone&&s.push(t.contactDetails.phone),t.contactDetails.linkedIn&&s.push(t.contactDetails.linkedIn),t.contactDetails.github&&s.push(t.contactDetails.github);const o=t.contactDetails.website||t.contactDetails.portfolio;o&&s.push(o),s.length>0&&(t.contactInfo=s.join(" | "))}else if(t.contactInfo){const s=$n(t.contactInfo),o=[];s.email&&o.push(s.email),s.phone&&o.push(s.phone),s.linkedIn&&o.push(s.linkedIn),s.github&&o.push(s.github);const i=s.website||s.portfolio;i&&o.push(i),o.length>0&&(t.contactInfo=o.join(" | "))}return t.experience=t.experience??[],t.education=t.education??[],t.skills=t.skills??[],t},v2=e=>{if(!e)throw new Error("Empty AI response");let t=e.trim();const n=t.match(/```(?:json)?\s*([\s\S]*?)```/i);n&&n[1]&&(t=n[1].trim());const r=t.indexOf("{"),s=t.lastIndexOf("}");return(r>0||s<t.length-1)&&r!==-1&&s!==-1&&(t=t.slice(r,s+1)),JSON.parse(t)},T2=e=>{const t=e&&typeof e=="object"?e:{};return{targetRoles:Bn(t.targetRoles??t.desiredRoles),preferredLocations:Bn(t.preferredLocations??t.desiredLocations),locationTypes:Array.isArray(t.locationTypes)?t.locationTypes.filter(n=>["remote","hybrid","onsite"].includes((n||"").toLowerCase())):[],preferredIndustries:Bn(t.preferredIndustries),salaryExpectation:Te(t.salaryExpectation??t.salaryRange)}},ks=e=>ih(e),C2="You are an expert AI talent acquisition specialist. Your role is to provide a quick, unbiased assessment of the user's resume against a job description. Analyze the documents and return a JSON object with your findings, written in the second person (e.g., 'Your resume shows strong experience...').",A2={type:U.OBJECT,properties:{score:{type:U.INTEGER,description:"A match score from 0 to 100, where 100 is a perfect match. The score should reflect the user's skills, experience, and qualifications relative to the job requirements."},justification:{type:U.STRING,description:"A brief, 2-3 sentence justification explaining the score, written in the second person (e.g., 'Your experience in X is a great match.'). Highlight key strengths or gaps concisely."}},required:["score","justification"]},I2=(e,t)=>`
545Please analyze the following resume and job description. Based on your analysis, provide a match score and justification.
546
547---
548**JOB DESCRIPTION:**
549${t}
550---
551**RESUME:**
552${e}
553---
554`,yd=async(e,t)=>{try{const n=mt(),r=I2(e,t),o=(await n.models.generateContent({model:Ue.STANDARD,contents:[{role:"user",parts:[{text:r}]}],config:{systemInstruction:C2,temperature:.1,responseMimeType:"application/json",responseSchema:A2}})).text;if(!o)throw new Error("Received an empty response from the AI for scoring.");const i=o.trim(),c=JSON.parse(i);if(typeof c.score!="number"||typeof c.justification!="string")throw new Error("Invalid JSON structure in AI response.");return c}catch(n){throw console.error("Error calculating conceptual match score:",n),n instanceof Error?new Error(`Failed to get match score: ${n.message}`):new Error("Failed to get match score due to an unknown API error.")}},Oi="Hacker News (YC Jobs)",R2=/\s\(YC\b|\s+is\s+hiring\b|\s—\s|\s\|\s/i,k2=/^YC\b/i,N2=/\b(remote|hybrid|on-?site|anywhere)\b|,/i,j2=e=>{const t=R2.exec(e);return!t||t.index<=0?Oi:e.slice(0,t.index).trim()||Oi},L2=e=>{const t=e.split(/\s\|\s/).map(r=>

554r.trim()).filter(Boolean);if(t.length>=2){const r=t[t.length-1];if(t.length>=3||N2.test(r))return r}const n=[...e.matchAll(/\(([^()]+)\)/g)].map(r=>r[1].trim()).filter(r=>r&&!k2.test(r));return n.length?n[n.length-1]:""},P2=e=>{const t=(e??"").trim();return t?{company:j2(t),location:L2(t)}:{company:Oi,location:""}},La={lever:["datadog","stripe","netlify"],greenhouse:["github","airbnb","asana"],workable:["duckduckgo","canonical"]},O2="/api/jobs/search-proxy",D2="https://remotive.io/api/remote-jobs",M2="https://hacker-news.firebaseio.com/v0/jobstories.json",U2=e=>`https://hacker-news.firebaseio.com/v0/item/${e}.json`,F2=e=>e||"remote",Yn=async e=>{try{const t=await fetch(e);return t.ok?await t.json():null}catch(t){return console.warn("Fetch failed",e,t),null}},kn=e=>{const t=new Map;for(const n of e){const r=n.applyUrl||n.url||n.id||n.externalId||`temp-${Math.random()}`;t.has(r)||t.set(r,n)}return Array.from(t.values())},$2=async(e={})=>{const{searchQuery:t="",limit:n=30}=e,r=await Yn(M2);if(!Array.isArray(r)||!r.length)return[];const s=r.slice(0,60),o=[],i=t.toLowerCase();for(const c of s){const l=await Yn(U2(c));if(!l)continue;const u=l.title||"",d=l.url||"";if(!u||!d||t&&!u.toLowerCase().includes(i))continue;const{company:p,location:m}=P2(u);if(o.push({id:`hn-${c}`,externalId:String(c),source:"hacker-news",title:u,company:p,locationText:m,descriptionSnippet:(l.text||"").substring(0,200),descriptionFull:l.text||"",applyUrl:d,url:d,matchScore:0,matchJustification:""}),o.length>=n)break}return kn(o).slice(0,n)},B2=async(e={})=>{const{searchQuery:t="",location:n=null,locationType:r="remote",limit:s=20}=e,o=F2(r),i=new URLSearchParams;t&&i.append("search",t),i.append("limit",String(s));const c=`${D2}?${i.toString()}`,l=await Yn(c);if(!(l!=null&&l.jobs)||!Array.isArray(l.jobs))return[];let u=l.jobs.map(d=>({id:`remotive-${d.id}`,externalId:String(d.id),source:"remotive",title:d.title||"Unknown Job Title",company:d.company_name||"Unknown Company",locationText:d.candidate_required_location||d.location||"Remote",descriptionSnippet:(d.description||"").substring(0,200),descriptionFull:d.description||"",applyUrl:d.url||"",url:d.url||"",matchScore:0,matchJustification:""}));if(u=u.filter(d=>d.applyUrl&&d.company&&d.title),o!=="remote"&&n){const d=n.toLowerCase();u=u.filter(p=>(p.locationText||"").toLowerCase().includes(d))}return kn(u).slice(0,s)},z2=async(e,t={})=>{const{searchQuery:n="",location:r=null,limit:s=50}=t,o=`https://api.lever.co/v0/postings/${e}?mode=json`,i=await Yn(o);if(!Array.isArray(i))return[];const c=n.toLowerCase();let l=i.map(u=>{var d;return{id:`lever-${u.id}`,externalId:u.id,source:"lever",title:u.text||"Unknown Job Title",company:u.company||e,locationText:((d=u.categories)==null?void 0:d.location)||"Unknown Location",descriptionSnippet:(u.descriptionPlain||u.description||"").substring(0,200),descriptionFull:u.descriptionPlain||u.description||"",applyUrl:u.hostedUrl||"",url:u.hostedUrl||"",matchScore:0,matchJustification:""}});if(l=l.filter(u=>u.applyUrl&&u.company&&u.title),n&&(l=l.filter(u=>u.title.toLowerCase().includes(c))),r){const u=r.toLowerCase();l=l.filter(d=>(d.locationText||"").toLowerCase().includes(u))}return kn(l).slice(0,s)},G2=async(e,t={})=>{const{searchQuery:n="",location:r=null,limit:s=50}=t,o=`https://boards.greenhouse.io/${e}/embed/jobs/json`,i=await Yn(o);if(!Array.isArray(i==null?void 0:i.jobs))return[];const c=n.toLowerCase();let l=i.jobs.map(u=>{var d,p,m;return{id:`greenhouse-${u.id}`,externalId:String(u.id),source:"greenhouse",title:u.title||"Unknown Job Title",company:((p=(d=u==null?void 0:u.metadata)==null?void 0:d.find(g=>g.name==="Company"))==null?void 0:p.value)||e,locationText:((m=u.location)==null?void 0:m.name)||"Unknown Location",descriptionSnippet:(u.content||"").substring(0,200),descriptionFull:u.content||"",applyUrl:u.absolute_url||"",url:u.absolute_url||"",matchScore:0,matchJustification:""}});if(l=l.filter(u=>u.applyUrl&&u.company&&u.title),n&&(l=l.filter(u=>u.title.toLowerCase().includes(c))),r){const u=r.toLowerCase();l=l.filter(d=>(d.locationText||"").toLowerCase().includes(u))}return kn(l).slice(0,s)},H2=async(e,t={})=>{const{searchQuery:n="",location:r=null,limit:s=50}=t,o=`https://apply.workable.com/api/v3/accounts/${e}/jobs`,i=await Yn(o);if(!Array.isArray(i==null?void 0:i.jobs))return[];const c=n.toLowerCase();let l=i.jobs.map(u=>{var d,p,m;return{id:`workable-${u.shortcode}`,externalId:u.shortcode,source:"workable",title:u.title||"Unknown Job Title",company:u.company||e,locationText:((d=u.location)==null?void 0:d.city)||((p=u.location)==null?void 0:p.region)||((m=u.location)==null?void 0:m.country)||"Unknown Location",descriptionSnippet:(u.short_description||"").substring(0,200),descriptionFull:u.short_description||"",applyUrl:u.url||"",url:u.url||"",matchScore:0,matchJustification:""}});if(l=l.filter(u=>

554u.applyUrl&&u.company&&u.title),n&&(l=l.filter(u=>u.title.toLowerCase().includes(c))),r){const u=r.toLowerCase();l=l.filter(d=>(d.locationText||"").toLowerCase().includes(u))}return kn(l).slice(0,s)},W2=async(e={})=>{const{searchQuery:t="",location:n=null,locationType:r="remote",limit:s=30}=e,o=[];o.push(B2({searchQuery:t,location:n,locationType:r,limit:s})),o.push($2({searchQuery:t,limit:s})),La.lever.forEach(d=>{o.push(z2(d,{searchQuery:t,location:n,limit:s}))}),La.greenhouse.forEach(d=>{o.push(G2(d,{searchQuery:t,location:n,limit:s}))}),La.workable.forEach(d=>{o.push(H2(d,{searchQuery:t,location:n,limit:s}))});let l=(await Promise.all(o).catch(()=>[])).flat().filter(Boolean);if(r==="onsite"&&n){const d=n.toLowerCase();l=l.filter(p=>(p.locationText||"").toLowerCase().includes(d)&&!/(remote|anywhere)/i.test(p.locationText||""))}return kn(l).slice(0,s)},_d=async(e={})=>{var r;let t;try{const o=(r=(Z?await Z.auth.getSession():{data:{session:null}}).data.session)==null?void 0:r.access_token,i=await fetch(O2,{method:"POST",headers:{"Content-Type":"application/json",...o?{Authorization:`Bearer ${o}`}:{}},body:JSON.stringify({keyword:e.searchQuery||"",location:e.location||null,remoteOnly:e.locationType==="remote"||e.locationType==="hybrid",page:1,perPage:e.limit||30,radius:e.radius,radiusUnit:e.radiusUnit,datePosted:e.datePosted})});if(i.status===504){const c=await i.json().catch(()=>({}));(c==null?void 0:c.error)==="UPSTREAM_TIMEOUT"&&(t=typeof c.message=="string"&&c.message?c.message:"Job search is taking longer than usual right now. Try again in a moment.")}if(i.ok){const c=await i.json();if(c!=null&&c.jobs&&Array.isArray(c.jobs)){const l=c.jobs.map(u=>({...u,title:Vo(u.title||u.jobTitle||"Unknown Title"),locationText:u.locationText||u.location||"Remote",applyUrl:u.applyUrl||u.url||"",descriptionSnippet:u.descriptionSnippet||(u.description||"").substring(0,200),descriptionFull:u.descriptionFull||u.description||""}));return{jobs:kn(l).slice(0,e.limit||30),failedSources:c.failedSources||[]}}}}catch(s){console.warn("Job proxy unreachable, falling back to direct fetch",s)}return{jobs:await W2(e),failedSources:[],upstreamNotice:t}};async function jP(e){if(!e.length)return[];try{const t=await fetch("/api/jobs/enrich",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({jobs:e})});if(!t.ok)return[];const n=await t.json();return Array.isArray(n==null?void 0:n.enriched)?n.enriched:[]}catch(t){return console.warn("Job description enrichment failed",t),[]}}const Pa=e=>e.map(t=>({...t,title:Vo(t.title||"")})),J2=e=>{var n,r,s,o;if(!e)return"";const t=[];return(n=e.targetRoles)!=null&&n.length&&t.push(`Target Roles: ${e.targetRoles.join(", ")}`),(r=e.preferredIndustries)!=null&&r.length&&t.push(`Preferred Industries: ${e.preferredIndustries.join(", ")}`),e.salaryExpectation&&t.push(`Salary Expectation: ${e.salaryExpectation}`),(s=e.preferredLocations)!=null&&s.length&&t.push(`Preferred Locations: ${e.preferredLocations.join(", ")}`),(o=e.locationTypes)!=null&&o.length&&t.push(`Location Types: ${e.locationTypes.join(", ")}`),t.length?`**JOB SEARCH PREFERENCES:**
555${t.map(i=>`- ${i}`).join(`
556`)}
557---`:""},V2=async(e,t,n)=>{var o;if(!n.length)return[];const r=mt(),s={model:Ue.LITE,contents:[{role:"user",parts:[{text:`You are a ranking assistant. Assign a matchScore (0-100) and matchJustification for each job based on the resume digest. Return JSON only.
558
559Resume Digest:
560${e}
561
562Preferences:
563${J2(t)}
564
565Jobs (Title/Company/Summary):
566${JSON.stringify(n.map(i=>{var c;return{url:i.applyUrl||i.url,title:i.title,company:i.company,summary:((c=i.descriptionFull)==null?void 0:c.substring(0,500))||i.descriptionSnippet}}),null,2)}`}]}],config:{temperature:.1,responseMimeType:"application/json"}};try{const c=(o=(await r.models.generateContent(s)).text)==null?void 0:o.trim();if(!c)return n;let l;try{l=JSON.parse(c)}catch{const{parseJsonFromMarkdown:p}=await D(async()=>{const{parseJsonFromMarkdown:m}=await Promise.resolve().then(()=>hA);return{parseJsonFromMarkdown:m}},void 0);l=p(c,null)}if(!l||!Array.isArray(l.jobs||l))return n;const u=l.jobs||l,d=new Map;return u.forEach(p=>{p!=null&&p.url&&d.set(p.url,{matchScore:typeof p.matchScore=="number"?p.matchScore:0,matchJustification:p.matchJustification||""})}),n.map(p=>{const m=d.get(p.applyUrl||p.url||"");return{...p,matchScore:(m==null?void 0:m.matchScore)??p.matchScore??0,matchJustification:(m==null?void 0:m.matchJustification)||p.matchJustification||""}})}catch(i){return console.warn("Rerank failed, returning unscored jobs",i),n}},Y2=e=>

566{if(!(typeof e!="number"||!Number.isFinite(e)||e<=0)){if(e<=1)return"today";if(e<=3)return"3days";if(e<=7)return"week";if(e<=30)return"month"}},q2=async(e,t,n,r,s,o,i)=>{if(typeof e=="object"&&e!==null){const p=e;return await _d({searchQuery:p.keyword||"",location:p.location,locationType:p.remoteOnly?"remote":"both",limit:p.perPage||25,radius:p.radius,radiusUnit:p.radiusUnit,datePosted:Y2(p.postedWithinDays)})}const c=e,l=Gt("searchJobs-real",nt(c),t||"any",n||"any",s||"none",o||10),u=Ht(l);if(u)return{jobs:Pa(u),failedSources:[]};const{promise:d}=cn(l,async()=>{const{jobs:p}=await _d({searchQuery:s||"",location:n,locationType:t,limit:(o||10)*5});if(!p.length)return{jobs:[],failedSources:[]};const m=Pa(p),_=(await V2(c,i||null,m)).slice().sort((y,b)=>(b.matchScore||0)-(y.matchScore||0)).slice(0,o||10),h=Pa(_);return Ct(l,h,600),{jobs:h,failedSources:[]}});return d},K2=q2,Fr=e=>{var l;const t=new Date;let n=null,r=null;(e.experience||[]).forEach(u=>{const d=u.dates.match(/\d{4}/g);if(!d)return;const p=parseInt(d[0]);let m=d.length>1?parseInt(d[d.length-1]):p;(u.dates.toLowerCase().includes("present")||u.isCurrent)&&(m=t.getFullYear()),(n===null||p<n)&&(n=p),(r===null||m>r)&&(r=m)});const s=n!==null&&r!==null?r-n:0,o=(e.experience||[]).reduce((u,d)=>{var p;return u+(((p=d.accomplishments)==null?void 0:p.length)||0)},0),i=((l=e.skills)==null?void 0:l.length)||0,c=(e.experience||[]).reduce((u,d)=>{const p=d.jobTitle.toLowerCase();if(!(p.includes("lead")||p.includes("manager")||p.includes("director")||p.includes("head")||p.includes("vp")||p.includes("president")||p.includes("chief")))return u;const g=d.dates.match(/\d{4}/g);if(!g)return u;let _=parseInt(g[0]),h=g.length>1?parseInt(g[g.length-1]):_;(d.dates.toLowerCase().includes("present")||d.isCurrent)&&(h=t.getFullYear());const y=Math.max(1,h-_+1);return u+y},0);return{totalYearsExperience:s,projectsCount:o,skillsCount:i,leadershipYears:c,lastUpdated:new Date().toISOString()}},X2=Object.freeze(Object.defineProperty({__proto__:null,calculateProfileMetrics:Fr},Symbol.toStringTag,{value:"Module"})),Z2=(e,t=Date.now())=>`acc_${e}_${t}`;let Q2=0;const eR=()=>{const[e,t]=f.useState([]),n=f.useCallback((l,u,d,p)=>{const m=`toast-${++Q2}`,g={id:m,type:l,message:u,description:d,duration:p||5e3};return t(_=>[..._,g]),m},[]),r=f.useCallback(l=>{t(u=>u.filter(d=>d.id!==l))},[]),s=f.useCallback((l,u,d)=>n("success",l,u,d),[n]),o=f.useCallback((l,u,d)=>n("error",l,u,d),[n]),i=f.useCallback((l,u,d)=>n("warning",l,u,d),[n]),c=f.useCallback((l,u,d)=>n("info",l,u,d),[n]);return{toasts:e,addToast:n,removeToast:r,success:s,error:o,warning:i,info:c}},tR={session:null,isGuest:!1,isAuthLoading:!0,profile:null,error:null,masterResume:"",originalResume:"",appliedJobs:[],savedJobs:[],location:null,zipcode:null,showDbSetupModal:!1,theme:"system",outputKey:0,jobUrl:"",jobDescription:"",pageCount:1,isTailoring:!1,isFetchingDescription:!1,isCalculatingScore:!1,tailoringError:null,matchScore:null,matchJustification:"",tailoredResume:"",tailoredResumeWordCount:null,coverLetter:"",changeSummary:"",tailoredMatchScore:null,tailoredScoreSettled:!1,tailoredMatchJustification:"",relevanceScore:null,originalAlignmentScore:null,alignmentImprovement:null,alignmentShowQualitative:!1,alignmentDetails:null,lastTailoredInfo:null,showSavePrompt:!1,showSuccess:!1,chatHistory:[],isChatting:!1,coverLetterChatHistory:[],isChattingCoverLetter:!1,isGeneratingCoverLetter:!1,searchQuery:"",locationType:"hybrid",isSearchingJobs:!1,isJobSearchIdle:!0,jobSearchError:null,jobListings:[],hasSearched:!1,selectedJob:null,isUpdating:!1,updateMessage:"",updateProgress:0,isStreamStalled:!1,pendingResumeUpdate:null,profileChatHistory:[],isChattingWithProfile:!1,pendingProfileChatUpdate:null,profileChatError:null,profileChatAuditLog:[],lastProfileSnapshot:null,applicationSnippets:null,isGeneratingSnippets:!1,corpusFiles:[],isUploadingFile:!1,fileUploadError:null,diarySaveStatus:"idle",pendingMemories:[],isExtractingAccomplishments:!1,isHydratingProfile:!0},nR=(e,t)=>{var n;switch(t.type){case"SET_SESSION":return{...e,session:t.payload};case"SET_GUEST":return{...e,isGuest:t.payload};case"SET_AUTH_LOADING":return{...e,isAuthLoading:t.payload};case"SET_PROFILE":{const r=t.payload;

566return{...e,profile:r,masterResume:ki(r)}}case"SET_ORIGINAL_RESUME":return{...e,originalResume:t.payload};case"SET_APPLIED_JOBS":return{...e,appliedJobs:t.payload};case"SET_SAVED_JOBS":return console.log("[reducer] SET_SAVED_JOBS dispatched with payload:",((n=t.payload)==null?void 0:n.length)||0,"jobs",t.payload),{...e,savedJobs:t.payload};case"ADD_APPLIED_JOB":return{...e,appliedJobs:[t.payload,...e.appliedJobs]};case"SET_LOCATION":return{...e,location:t.payload};case"SET_ZIPCODE":return{...e,zipcode:t.payload};case"SHOW_DB_SETUP_MODAL":return{...e,showDbSetupModal:!0};case"HIDE_DB_SETUP_MODAL":return{...e,showDbSetupModal:!1};case"SET_THEME":return{...e,theme:t.payload};case"SET_JOB_URL":return{...e,jobUrl:t.payload};case"SET_JOB_DESCRIPTION":return{...e,jobDescription:t.payload};case"SET_PAGE_COUNT":return{...e,pageCount:t.payload};case"SET_TAILORING":return{...e,isTailoring:t.payload};case"SET_FETCHING_DESCRIPTION":return{...e,isFetchingDescription:t.payload};case"SET_CALCULATING_SCORE":return{...e,isCalculatingScore:t.payload};case"SET_ERROR":return{...e,tailoringError:t.payload};case"SET_MATCH_SCORE":return{...e,matchScore:t.payload.score,matchJustification:t.payload.justification};case"SET_TAILORED_RESULTS":return{...e,...t.payload,tailoredScoreSettled:!0,outputKey:e.outputKey+1};case"SET_TAILORED_RESUME_PROVISIONAL":return{...e,tailoredResume:t.payload,tailoredScoreSettled:!1};case"DISCARD_TAILORED_RESULT":return{...e,tailoredResume:"",tailoredResumeWordCount:null,changeSummary:"",tailoredMatchScore:null,tailoredScoreSettled:!1,tailoredMatchJustification:"",originalAlignmentScore:null,alignmentImprovement:null,alignmentShowQualitative:!1,alignmentDetails:null,lastTailoredInfo:null,showSuccess:!1,outputKey:e.outputKey+1};case"SET_SHOW_SUCCESS":return{...e,showSuccess:t.payload};case"SET_SHOW_SAVE_PROMPT":return{...e,showSavePrompt:t.payload};case"SET_LAST_TAILORED_INFO":return{...e,lastTailoredInfo:t.payload};case"START_OVER":return{...e,jobUrl:"",jobDescription:"",tailoringError:null,matchScore:null,matchJustification:"",tailoredResume:"",coverLetter:"",changeSummary:"",tailoredMatchScore:null,tailoredScoreSettled:!1,tailoredMatchJustification:"",relevanceScore:null,originalAlignmentScore:null,alignmentImprovement:null,alignmentShowQualitative:!1,alignmentDetails:null,lastTailoredInfo:null,showSavePrompt:!1,chatHistory:[],coverLetterChatHistory:[],applicationSnippets:null,outputKey:e.outputKey+1};case"SET_TAILORED_RESUME":return{...e,tailoredResume:t.payload};case"SET_TAILORED_RESUME_WORD_COUNT":return{...e,tailoredResumeWordCount:t.payload};case"SET_COVER_LETTER":return{...e,coverLetter:t.payload};case"SET_CHAT_HISTORY":return{...e,chatHistory:t.payload};case"SET_IS_CHATTING":return{...e,isChatting:t.payload};case"SET_COVER_LETTER_CHAT_HISTORY":return{...e,coverLetterChatHistory:t.payload};case"SET_IS_CHATTING_COVER_LETTER":return{...e,isChattingCoverLetter:t.payload};case"SET_IS_GENERATING_COVER_LETTER":return{...e,isGeneratingCoverLetter:t.payload};case"SET_SEARCH_QUERY":return{...e,searchQuery:t.payload};case"SET_LOCATION_TYPE":return{...e,locationType:t.payload};case"SET_IS_SEARCHING_JOBS":return{...e,isSearchingJobs:t.payload,isJobSearchIdle:!1};case"SET_JOB_SEARCH_ERROR":return{...e,jobSearchError:t.payload};case"SET_JOB_LISTINGS":return{...e,jobListings:t.payload,isJobSearchIdle:!1};case"SET_SELECTED_JOB":return{...e,selectedJob:t.payload};case"SET_HAS_SEARCHED":return{...e,hasSearched:t.payload};case"SET_UPDATING":return{...e,isUpdating:t.payload.isUpdating,updateMessage:t.payload.message,updateProgress:t.payload.progress||0,isStreamStalled:t.payload.isUpdating?e.isStreamStalled:!1};case"SET_STREAM_STALLED":return{...e,isStreamStalled:!!t.payload};case"SET_PENDING_UPDATE":return{...e,pendingResumeUpdate:t.payload};case"SET_PROFILE_CHAT_HISTORY":return{...e,profileChatHistory:t.payload};case"SET_IS_CHATTING_PROFILE":return{...e,isChattingWithProfile:t.payload};case"SET_PENDING_PROFILE_CHAT_UPDATE":return{...e,pendingProfileChatUpdate:t.payload};case"SET_PROFILE_CHAT_ERROR":return{...e,profileChatError:t.payload};case"PUSH_PROFILE_CHAT_AUDIT":return{...e,profileChatAuditLog:[t.payload,...e.profileChatAuditLog].slice(0,20)};case"SET_LAST_PROFILE_SNAPSHOT":return{...e,lastProfileSnapshot:t.payload};

566case"SET_SNIPPETS":return{...e,applicationSnippets:t.payload,isGeneratingSnippets:!1};case"SET_IS_GENERATING_SNIPPETS":return{...e,isGeneratingSnippets:t.payload};case"SYNC_FILE_STATE":return{...e,corpusFiles:t.payload.corpusFiles,isUploadingFile:t.payload.isUploadingFile,fileUploadError:t.payload.fileUploadError};case"SET_DIARY_SAVE_STATUS":return{...e,diarySaveStatus:t.payload};case"SET_PENDING_MEMORIES":return{...e,pendingMemories:t.payload};case"SET_EXTRACTING_ACCOMPLISHMENTS":return{...e,isExtractingAccomplishments:t.payload};case"SET_HYDRATING_PROFILE":return{...e,isHydratingProfile:t.payload};case"CLEAR_USER_DATA":return{...e,profile:bt,masterResume:"",originalResume:"",appliedJobs:[],savedJobs:[],location:null,zipcode:null,jobListings:[],isJobSearchIdle:!0,pendingMemories:[]};default:return e}},rR=e=>{if(!e)return null;const t=e.match(/location[:-]?\s*([^\n|]+)/i);if(t)return t[1].trim();const n=e.split(/[\n|]/).map(c=>c.trim()).filter(c=>c.length>0),r=/(https?:\/\/|@|linkedin|github|portfolio|www\.|resume)/i,s=/\+?\d{1,3}[\s-]?\(?\d{2,3}\)?[\s-]?\d{3}[\s-]?\d{4}/,o=/^[A-Za-z .'-]+,\s*[A-Za-z .'-]+(?:\s*\d{4,6})?$/;for(const c of n)if(!(r.test(c)||s.test(c))&&o.test(c))return c;const i=e.match(/([A-Z][a-z]+(?:[\s-][A-Z][a-z]+)*,\s*[A-Z]{2}(?:\s*\d{5})?)/);return i?i[1].trim():null},sR=e=>{var n,r;if(!e)return"";const t=[];if(e.summary&&t.push(`Summary:
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569${i}`:""}`});t.push(`Recent Roles:
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s&&h.requiresAuth?a.jsxs("button",{type:"button",role:"menuitem","data-menuitem":"true",tabIndex:0,onClick:()=>{l(!1),o()},className:"w-full flex items-center gap-3 px-4 py-3 text-sm text-[var(--ink-3)] hover:bg-[var(--surface-sunk)] transition-colors text-left",children:[h.icon,a.jsx("span",{children:h.label}),a.jsx("span",{className:"ml-auto text-[10px] uppercase tracking-wide text-[var(--ink-3)]",children:"Sign in"})]},h.to):a.jsxs(bn,{to:h.to,role:"menuitem","data-menuitem":"true",tabIndex:0,onClick:()=>l(!1),onMouseEnter:()=>{var b;return(b=Nt[h.to])==null?void 0:b.call(Nt)},className:`flex items-center gap-3 px-4 py-3 text-sm transition-colors ${y?"bg-[var(--ever-050)] text-[var(--ever-700)]":"text-[var(--ink-2)] hover:bg-[var(--surface-sunk)] hover:text-[var(--ink)]"}`,children:[h.icon,a.jsx("span",{children:h.label}),h.isPro&&i&&a.jsx(Fi,{className:"ml-auto"})]},h.to)})]})]})},Wj=({session:e,onSignOut:t})=>{const[n,r]=f.useState(!1),s=f.useRef(null);return Kc(s,()=>r(!1)),e?a.jsxs("div",{className:"relative",ref:s,children:[a.jsx(ue,{onClick:()=>r(!n),variant:"secondary",size:"sm",className:"w-10 h-10 rounded-full p-0 bg-[var(--surface)] text-[var(--ink-2)] hover:bg-[var(--surface-sunk)] shadow-sm border border-[var(--line)]","aria-label":"User menu",children:a.jsx(Eo,{className:"h-6 w-6"})}),n&&a.jsxs("div",{className:"absolute right-0 mt-2 w-56 rounded-xl border border-[var(--line)] bg-[var(--surface)] py-1 shadow-[var(--e3)] z-20 animate-fadeIn",children:[a.jsxs("div",{className:"px-4 py-3 text-sm border-b border-[var(--line)]",children:[a.jsx("p",{className:"font-semibold text-[var(--ink)]",children:"Account"}),a.jsx("p",{className:"text-[var(--ink-3)] truncate",children:ak(e.user.email)})]}),a.jsxs("div",{className:"py-1",children:[a.jsx(bn,{to:"/app/profile",className:"block px-4 py-2 text-sm text-[var(--ink-2)] hover:bg-[var(--surface-sunk)]",children:"Profile"}

594),a.jsx(bn,{to:"/app/settings",className:"block px-4 py-2 text-sm text-[var(--ink-2)] hover:bg-[var(--surface-sunk)]",children:"Settings"}),a.jsx(bn,{to:"/app/settings/billing",className:"block px-4 py-2 text-sm text-[var(--ink-2)] hover:bg-[var(--surface-sunk)]",children:"Billing & Usage"}),a.jsx(ue,{onClick:t,variant:"ghost",size:"sm",className:"w-full justify-start px-4 py-2 text-sm text-[var(--rust)] hover:bg-[var(--rust-bg)] transition-colors h-auto",children:"Sign Out"})]})]})]}):null},Jj=({session:e,isGuest:t,onSignOut:n,onInitiateAuth:r})=>{const{isPaid:s}=ta(),o=!s,i=[{to:"/app/diary",icon:a.jsx(Fc,{className:"h-4 w-4"}),label:"Diary"},{to:"/app/career-score",icon:a.jsx(Ti,{className:"h-4 w-4"}),label:"Career Readiness"},{to:"/app/profile",icon:a.jsx(Eo,{className:"h-4 w-4"}),label:"Profile"}],c=[{to:"/app/tailor",icon:a.jsx(St,{className:"h-4 w-4"}),label:"Tailor"},{to:"/app/cover-letter",icon:a.jsx(Uc,{className:"h-4 w-4"}),label:"Cover Letter"},{to:"/app/resume-library",icon:a.jsx(Ko,{className:"h-4 w-4"}),label:"Resume Library",requiresAuth:!0}],l=[{to:"/app/search",icon:a.jsx(Ur,{className:"h-4 w-4"}),label:"Job Search"},{to:"/app/applications",icon:a.jsx(Uf,{className:"h-4 w-4"}),label:"Application Tracker",requiresAuth:!0}],u=[{to:"/app/portfolio/edit",icon:a.jsx($c,{className:"h-4 w-4"}),label:"Portfolio",isPro:!0},{to:"/app/intelligence/career-gps",icon:a.jsx(Ci,{className:"h-4 w-4"}),label:"Career GPS",isPro:!0},{to:"/app/intelligence/ats-simulator",icon:a.jsx(pA,{className:"h-4 w-4"}),label:"ATS Simulator",isPro:!0},{to:"/app/interview-prep",icon:a.jsx(Xo,{className:"h-4 w-4"}),label:"Interview Prep",isPro:!0},{to:"/app/linkedin",icon:a.jsx(ms,{className:"h-4 w-4"}),label:"LinkedIn",isPro:!0}];return a.jsx("header",{className:"rt-app-header fixed top-0 left-0 right-0 z-30 w-full border-b border-[var(--line)] bg-[var(--surface)]/80 backdrop-blur-xl",children:a.jsx("div",{className:"mx-auto max-w-7xl px-4 sm:px-6 lg:px-8",children:a.jsxs("div",{className:"flex h-16 items-center justify-between gap-4",children:[a.jsx("div",{className:"flex-shrink-0",children:a.jsx(to,{size:"md",showText:!0,href:"/app/home"})}),a.jsxs("nav",{className:"hidden md:flex items-center space-x-1 bg-[var(--surface-sunk)] p-1 rounded-full border border-[var(--line)]",children:[a.jsx(Hj,{to:"/app/home",icon:a.jsx(iA,{className:"h-4 w-4"}),label:"Home"}),a.jsx(Ps,{label:"My Career",icon:a.jsx(Eo,{className:"h-4 w-4"}),items:i,isGuest:t,onInitiateAuth:r,showProBadges:o}),a.jsx(Ps,{label:"Tailor & Apply",icon:a.jsx(St,{className:"h-4 w-4"}),items:c,isGuest:t,onInitiateAuth:r,showProBadges:o}),a.jsx(Ps,{label:"Find Jobs",icon:a.jsx(Ur,{className:"h-4 w-4"}),items:l,isGuest:t,onInitiateAuth:r,showProBadges:o}),a.jsx(Ps,{label:"Coach",icon:a.jsx(Ci,{className:"h-4 w-4"}),items:u,isProGroup:!0,isGuest:t,onInitiateAuth:r,showProBadges:o})]}),a.jsxs("div",{className:"flex items-center space-x-3",children:[a.jsx("div",{className:"h-6 w-px bg-[var(--line)] hidden sm:block"}),a.jsx(_h,{}),t?a.jsx(ue,{onClick:r,variant:"primary",size:"md",className:"rounded-full px-5 h-auto py-2",children:"Get Started"}):a.jsx(Wj,{session:e,onSignOut:n})]})]})})})},Vj=({currentView:e,onViewChange:t})=>{const n=[{view:"diary",icon:Fc,label:"Diary"},{view:"tailor",icon:Eo,label:"Tailor"},{view:"search",icon:Ur,label:"Search"},{view:"interview-prep",icon:Xo,label:"Interview"},{view:"linkedin",icon:ms,label:"LinkedIn"},{view:"portfolio-settings",icon:$c,label:"Website"}];return a.jsx("nav",{className:"mobile-nav md:hidden fixed bottom-0 left-0 right-0 bg-white dark:bg-slate-900 border-t border-[var(--border-default)] z-40 safe-area-bottom",children:a.jsx("div",{className:"flex items-center justify-around h-16 px-2",children:n.map(({view:r,icon:s,label:o})=>{const i=e===r;return a.jsxs(ue,{type:"button",onClick:()=>t(r),variant:"ghost",size:"md",className:`flex flex-col items-center justify-center flex-1 h-full transition-colors border-none p-0 bg-transparent hover:bg-transparent ${i?"text-blue-600 dark:text-blue-400":"text-gray-500 dark:text-gray-400 hover:text-gray-700 dark:hover:text-gray-300"}`,"aria-label":`Switch to ${o}`,"aria-current":i?"page":void 0,children:[a.jsx(s,{className:"h-6 w-6"}

594),a.jsx("span",{className:"text-xs font-medium mt-1",children:o})]},r)})})})},Nd=`-- This script creates and updates the necessary tables for CareerDiary.
595-- It's safe to run even if the tables or columns already exist.
596
597-- Create 'profiles' table if it doesn't exist
598CREATE TABLE IF NOT EXISTS public.profiles (
599  id UUID PRIMARY KEY REFERENCES auth.users(id),
600  profile_data JSONB,
601  location VARCHAR(255)
602);
603
604-- Create 'applied_jobs' table if it doesn't exist
605CREATE TABLE IF NOT EXISTS public.applied_jobs (
606  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
607  user_id UUID REFERENCES auth.users(id),
608  created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()) NOT NULL,
609  job_title VARCHAR(255),
610  company_name VARCHAR(255),
611  job_description TEXT,
612  tailored_resume TEXT,
613  cover_letter TEXT,
614  match_score INT,
615  match_justification TEXT
616);
617
618-- Create 'corpus_files' table if it doesn't exist
619CREATE TABLE IF NOT EXISTS public.corpus_files (
620  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
621  user_id UUID REFERENCES auth.users(id),
622  created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()) NOT NULL,
623  gemini_file_name VARCHAR(255) UNIQUE,
624  display_name VARCHAR(255),
625  mime_type VARCHAR(100),
626  size_bytes BIGINT
627);
628`,jd=`-- This script enables Row Level Security (RLS) and creates security policies.
629-- It's safe to run multiple times.
630
631-- Enable RLS on tables (this command is idempotent)
632ALTER TABLE public.profiles ENABLE ROW LEVEL SECURITY;
633ALTER TABLE public.applied_jobs ENABLE ROW LEVEL SECURITY;
634ALTER TABLE public.corpus_files ENABLE ROW LEVEL SECURITY;
635
636-- Policies for 'profiles' table (safe to re-run)
637DROP POLICY IF EXISTS "Allow users to view their own profile" ON public.profiles;
638CREATE POLICY "Allow users to view their own profile"
639ON public.profiles FOR SELECT
640USING ( auth.uid() = id );
641
642DROP POLICY IF EXISTS "Allow users to insert their own profile" ON public.profiles;
643CREATE POLICY "Allow users to insert their own profile"
644ON public.profiles FOR INSERT
645WITH CHECK ( auth.uid() = id );
646
647DROP POLICY IF EXISTS "Allow users to update their own profile" ON public.profiles;
648CREATE POLICY "Allow users to update their own profile"
649ON public.profiles FOR UPDATE
650USING ( auth.uid() = id );
651
652
653-- Policies for 'applied_jobs' table (safe to re-run)
654DROP POLICY IF EXISTS "Allow users to view their own jobs" ON public.applied_jobs;
655CREATE POLICY "Allow users to view their own jobs"
656ON public.applied_jobs FOR SELECT
657USING ( auth.uid() = user_id );
658
659DROP POLICY IF EXISTS "Allow users to insert their own jobs" ON public.applied_jobs;
660CREATE POLICY "Allow users to insert their own jobs"
661ON public.applied_jobs FOR INSERT
662WITH CHECK ( auth.uid() = user_id );
663
664
665-- Policies for 'corpus_files' table (safe to re-run)
666DROP POLICY IF EXISTS "Allow users to view their own files" ON public.corpus_files;
667CREATE POLICY "Allow users to view their own files"
668ON public.corpus_files FOR SELECT
669USING ( auth.uid() = user_id );
670
671DROP POLICY IF EXISTS "Allow users to insert their own files" ON public.corpus_files;
672CREATE POLICY "Allow users to insert their own files"
673ON public.corpus_files FOR INSERT
674WITH CHECK ( auth.uid() = user_id );
675
676DROP POLICY IF EXISTS "Allow users to delete their own files" ON public.corpus_files;
677CREATE POLICY "Allow users to delete their own files"
678ON public.corpus_files FOR DELETE
679USING ( auth.uid() = user_id );
680`,Yj=({onClose:e})=>{const[t,n]=f.useState(null),r=s=>{const o=s==="tables"?Nd:jd;navigator.clipboard.writeText(o),n(s),setTimeout(()=>n(null),2e3)};return a.jsx("div",{className:"fixed inset-0 bg-gray-900 bg-opacity-80 flex items-center justify-center z-50 p-4",children:a.jsxs("div",{className:"bg-white rounded-xl shadow-2xl w-full max-w-3xl max-h-[90vh] flex flex-col",children:[a.jsxs("div",{className:"p-6 border-b flex justify-between items-center",children:[a.jsxs("div",{children:[a.jsx("h2",{className:"text-2xl font-bold text-gray-900",children:"Final Setup: Database Configuration"}),a.jsx("p",{className:"text-sm text-gray-600",children:"To use authentication and save data, you need to set up a free Supabase project."})]}),a.jsx(ue,{onClick:e,variant:"ghost",size:"sm",className:"p-1 text-gray-400 hover:text-gray-600 h-auto","aria-label":"Close",children:a.jsx(Of,{className:"h-8 w-8"})})]}),a.jsxs("div",{className:"p-6 space-y-6 overflow-y-auto",children:[a.jsx("div",{className:"bg-blue-50 border-l-4 border-blue-400 p-4",children:a.jsxs("div",{className:"flex",children:[a.jsx("div",{className:"flex-shrink-0",children:a.jsx(cA,{className:"h-5 w-5 text-blue-400"})}),a.jsxs("div",{className:"ml-3",children:[a.jsx("p",{className:"text-sm font-bold text-blue-800",children:"Why am I seeing this?"}),a.jsx("p",{className:"mt-1 text-sm text-blue-700",children:"You're seeing this page because you've successfully logged in, but the app couldn't find the database tables needed to store your profile and job applications. Please follow the steps below to complete the one-time setup."})]})]})}),a.jsxs("div",{children:[a.jsx("h3",{className:"font-semibold text-lg",children:"Step 1: Create a Supabase Project"}),a.jsxs("p",{className:"text-sm text-gray-700",children:["Go to ",a.jsx("a",{href:"https://supabase.com/",target:"_blank",rel:"noopener noreferrer",className:"text-blue-600 font-semibold hover:underline",children:"Supabase"}),", sign up for a free account, and create a new project. It only takes a few minutes."]})]}),a.jsxs("div",{children:[a.jsx("h3",{className:"font-semibold text-lg",children:"Step 2: Add Your Supabase Ke

680ys"}),a.jsxs("p",{className:"text-sm text-gray-700 mb-2",children:["In your Supabase project dashboard, go to ",a.jsx("span",{className:"font-mono bg-gray-100 p-1 rounded-md text-xs",children:"Project Settings > API"}),". Find your ",a.jsx("strong",{children:"Project URL"})," and your ",a.jsxs("strong",{children:[a.jsx("code",{className:"font-mono bg-gray-100 p-1 rounded-md text-xs",children:"anon (public)"})," key"]}),"."]}),a.jsxs("div",{className:"bg-blue-50 p-4 rounded-lg border border-blue-200",children:[a.jsx("h4",{className:"font-semibold text-blue-800",children:"How to Add Secrets:"}),a.jsxs("p",{className:"text-sm text-blue-700 mt-1",children:["Look for a ",a.jsx("strong",{children:'"Secrets"'})," tab or an icon that looks like a key (🔑) in the sidebar of this editor. Click it, and add two new secrets:"]}),a.jsxs("ul",{className:"list-disc list-inside text-sm space-y-1 mt-2 pl-4",children:[a.jsxs("li",{children:["Name: ",a.jsx("code",{className:"font-mono bg-white p-1 rounded-md text-xs",children:"SUPABASE_URL"}),", Value: your ",a.jsx("strong",{children:"Project URL"})]}),a.jsxs("li",{children:["Name: ",a.jsx("code",{className:"font-mono bg-white p-1 rounded-md text-xs",children:"SUPABASE_KEY"}),", Value: your ",a.jsx("strong",{children:"anon (public) key"})]})]}),a.jsx("p",{className:"text-xs text-blue-600 mt-3 font-semibold",children:"After adding the secrets, you must reload the application for the changes to take effect."})]})]}),a.jsxs("div",{children:[a.jsx("h3",{className:"font-semibold text-lg",children:"Step 3: Create Database Tables"}),a.jsxs("p",{className:"text-sm text-gray-700 mb-2",children:["In the Supabase dashboard, navigate to the ",a.jsx("span",{className:"font-mono bg-gray-100 p-1 rounded-md text-xs",children:"SQL Editor"}),'. Create a "New query" and paste the following SQL to create and update your tables. Then click "Run".']}),a.jsxs("div",{className:"relative bg-gray-800 text-white p-4 rounded-lg my-2 font-mono text-xs",children:[a.jsxs(ue,{onClick:()=>r("tables"),variant:"secondary",size:"sm",className:"absolute top-2 right-2 bg-gray-700 hover:bg-gray-600 text-white border-none py-1 h-auto px-2 rounded-md flex items-center gap-2 text-xs",children:[a.jsx(qu,{className:"h-4 w-4"}),a.jsx("span",{children:t==="tables"?"Copied!":"Copy Script"})]}),a.jsx("pre",{children:a.jsx("code",{children:Nd})})]})]}),a.jsxs("div",{children:[a.jsx("h3",{className:"font-semibold text-lg",children:"Step 4: Secure Your Tables with Policies"}),a.jsxs("p",{className:"text-sm text-gray-700 mb-2",children:["For security, Supabase uses Row Level Security. Run the following SQL script in the ",a.jsx("span",{className:"font-mono bg-gray-100 p-1 rounded-md text-xs",children:"SQL Editor"}),' to ensure users can only access their own data. Then click "Run".']}),a.jsxs("div",{className:"relative bg-gray-800 text-white p-4 rounded-lg font-mono text-xs",children:[a.jsxs(ue,{onClick:()=>r("policies"),variant:"secondary",size:"sm",className:"absolute top-2 right-2 bg-gray-700 hover:bg-gray-600 text-white border-none py-1 h-auto px-2 rounded-md flex items-center gap-2 text-xs",children:[a.jsx(qu,{className:"h-4 w-4"}),a.jsx("span",{children:t==="policies"?"Copied!":"Copy Script"})]}),a.jsx("pre",{children:a.jsx("code",{children:jd})})]})]}),a.jsxs("div",{children:[a.jsx("h3",{className:"font-semibold text-lg",children:"Step 5: Enable Social Logins (Optional)"}),a.jsxs("p",{className:"text-sm text-gray-700 mb-2",children:["To allow users to sign in with Google or LinkedIn, go to ",a.jsx("span",{className:"font-mono bg-gray-100 p-1 rounded-md text-xs",children:"Authentication > Providers"})," in Supabase. You'll need to follow the official Supabase guides to set up OAuth credentials for each."]})]})]}),a.jsxs("div",{className:"p-4 bg-gray-50 text-center rounded-b-xl border-t",children:[a.jsx("p",{className:"text-sm text-gray-700 font-semibold mb-3",children:"After running the SQL scripts in your Supabase project, click the button below."}),a.jsx(ue,{onClick:e,variant:"primary",size:"lg",className:"w-full max-w-xs mx-auto",children:"I've run the scripts, finish setup!"})]})]})})},Os=[{title:"Welcome to CareerDiary!",content:"This quick tour will show you how to land your next job faster. Let's explore the key features.",highlight:null},{title:"1. Your Master Resume",content:"This is your career diary. Upload your most comprehensive resume here. It's the source for all tailored versions. You can edit it with the structured editor anytime.",highlight:"input-master-resume"},{title:"2. The Job Description",content:"Paste a job description here, or use the 'Fetch' button to automatically extract it from a URL like LinkedIn.",highlight:"input-job-description"},{title:"3. Tailor with AI",content:"Click 'Tailor Resume' and our AI will rewrite your master resume to perfectly match the job, highlighting your most relevant skills and experience.",highlight:"button-tailor"},{title:"4. Your AI-Powered Results",content:"Your new resume appears here. You can see a summary of changes, check the improved match score, and even generate a cover letter.",highlight:"output-results"},{title:"5. Refine with Chat",content:"Don't like something? Use the AI chat to ask for changes. For example, 'Make the summary more concise' or 'Emphasize my Python skills'.",highlight:"refine-chat"},{title:"6. Find Your Next Job",content:"Switch to the 'Job Search' tab. Our AI will use your master resume to find roles that are a great fit for you. 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