@algolia/recommend-react - npm Package Compare versions

Comparing version 1.14.0 to 1.15.0

dist/esm/version.d.ts

@@ -1,1 +0,1 @@
-export declare const version = "1.14.0";
+export declare const version = "1.15.0";

dist/esm/version.js

@@ -1,1 +0,1 @@
-export const version = '1.14.0';
+export const version = '1.15.0';

dist/umd/experimental-personalization/index.js

@@ -1,3 +0,3 @@
-/*! @algolia/recommend-react 1.14.0 | MIT License | © Algolia, Inc. and contributors | https://github.com/algolia/recommend */
-!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports,require("react")):"function"==typeof define&&define.amd?define(["exports","react"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self)["@algolia/recommend-react"]={},e.React)}(this,(function(e,t){"use strict";function n(){return n=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},n.apply(this,arguments)}function r(...e){return e.filter(Boolean).join(" ")}function a({createElement:e,Fragment:t}){return function(n){return 0===n.recommendations.length&&"idle"===n.status?e(n.Fallback,null):e("section",{className:r("auc-Recommend",n.classNames.root)},e(n.Header,{classNames:n.classNames,recommendations:n.recommendations,translations:n.translations,createElement:e,Fragment:t}),e(n.View,null))}}function s({createElement:e}){return function(t){return!t.recommendations||t.recommendations.length<1?null:t.translations.title?e("h3",{className:r("auc-Recommend-title",t.classNames.title)},t.translations.title):null}}function o({createElement:e,Fragment:t}){return function(n){return e("div",{className:r("auc-Recommend-container",n.classNames.container)},e("ol",{className:r("auc-Recommend-list",n.classNames.list)},n.items.map((a=>e("li",{key:a.objectID,className:r("auc-Recommend-item",n.classNames.item)},e(n.itemComponent,{createElement:e,Fragment:t,item:a}))))))}}function i({hits:e,maxRecommendations:t,nrOfObjs:n}){const r={};e.forEach((e=>{e.forEach(((e,t)=>{r[e.objectID]?r[e.objectID]={indexSum:r[e.objectID].indexSum+t,nr:r[e.objectID].nr+1}:r[e.objectID]={indexSum:t,nr:1}}))}));const a=((e,t)=>{const n=[];for(const r of Object.keys(e))e[r].nr<2&&(e[r].indexSum+=100),n.push({objectID:r,avgOfIndices:e[r].indexSum/t});return n.sort(((e,t)=>e.avgOfIndices>t.avgOfIndices?1:-1))})(r,n);return a.reduce(((t,n)=>{const r=e.flat().find((e=>e.objectID===n.objectID));return r?t.concat(r):t}),[]).slice(0,t&&t>0?t:void 0)}function m({hits:e,maxRecommendations:t}){return function(e,t){const n=[...t];return n.sort(e),n}(((e,t)=>(e._score||0)>(t._score||0)?-1:1),e).slice(0,t&&t>0?t:void 0)}const c="1.14.0";function l({objectIDs:e,recommendClient:t,transformItems:n=(e=>e),indexName:r,maxRecommendations:a,queryParameters:s,threshold:o}){const m=e.map((e=>({indexName:r,maxRecommendations:a,objectID:e,queryParameters:s,threshold:o})));return t.addAlgoliaAgent("recommend-core",c),0===m.length?Promise.resolve({recommendations:[]}):t.getFrequentlyBoughtTogether(m).then((t=>i({maxRecommendations:a,hits:t.results.map((e=>e.hits)),nrOfObjs:e.length}))).then((e=>({recommendations:n(e)})))}function u({objectIDs:e,recommendClient:t,transformItems:n=(e=>e),fallbackParameters:r,indexName:a,maxRecommendations:s,model:o,queryParameters:m,threshold:l}){const u=e.map((e=>({fallbackParameters:r,indexName:a,maxRecommendations:s,model:o,objectID:e,queryParameters:m,threshold:l})));return t.addAlgoliaAgent("recommend-core",c),0===u.length?Promise.resolve({recommendations:[]}):t.getRecommendations(u).then((t=>i({maxRecommendations:s,hits:t.results.map((e=>e.hits)),nrOfObjs:e.length}))).then((e=>({recommendations:n(e)})))}function d({objectIDs:e,recommendClient:t,transformItems:n=(e=>e),fallbackParameters:r,indexName:a,maxRecommendations:s,queryParameters:o,threshold:m}){const l=e.map((e=>({fallbackParameters:r,indexName:a,maxRecommendations:s,objectID:e,queryParameters:o,threshold:m})));return t.addAlgoliaAgent("recommend-core",c),0===l.length?Promise.resolve({recommendations:[]}):t.getRelatedProducts(l).then((t=>i({maxRecommendations:s,hits:t.results.map((e=>e.hits)),nrOfObjs:e.length}))).then((e=>({recommendations:n(e)})))}function f({objectIDs:e,recommendClient:t,transformItems:n=(e=>e),fallbackParameters:r,indexName:a,maxRecommendations:s,queryParameters:o,threshold:m}){const l=e.map((e=>({fallbackParameters:r,indexName:a,maxRecommendations:s,objectID:e,queryParameters:o,threshold:m})));return t.addAlgoliaAgent("recommend-core",c),0===l.length?Promise.resolve({recommendations:[]}):t.getLookingSimilar(l).then((t=>i({maxRecommendations:s,hits:t.results.map((e=>e.hits)),nrOfObjs:e.length}))).then((e=>({recommendations:n(e)})))}function g({recommendClient:e,transformItems:t=(e=>e),fallbackParameters:n,indexName:r,maxRecommendations:a,queryParameters:s,threshold:o,facetName:i,facetValue:l}){const u={fallbackParameters:n,indexName:r,maxRecommendations:a,queryParameters:s,threshold:o,facetName:i,facetValue:l};return e.addAlgoliaAgent("recommend-core",c),r?e.getTrendingItems([u]).then((e=>{return m({maxRecommendations:a,hits:(t="objectID",n=e.results.map((e=>e.hits)).flat(),[...new 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n=t.useRef(void 0),[r,a]=t.useState(e);return t.useEffect((()=>{"stalled"!==r&&n.current&&clearTimeout(n.current),"loading"===r&&(n.current=setTimeout((()=>{a("stalled")}),300))}),[r]),{status:r,setStatus:a}}const F=(e,n)=>{t.useEffect((()=>{}),[e,n])},N=t.createContext({hasProvider:!1}),I=()=>t.useContext(N),q=e=>{const n=t.useContext(N);if(e)return{client:e,isContextClient:!1};if(n.recommendClient)return{client:n.recommendClient,isContextClient:!0};throw new Error("Pass an Algolia `recommendClient` instance either to the Recommend React context, a component or hook.")};function T({indexName:e,maxRecommendations:n,objectIDs:r,queryParameters:a,recommendClient:s,threshold:o,transformItems:i=(e=>e),...m}){const{userToken:c,region:u,suppressExperimentalWarning:d}=x(m),[f,g]=t.useState({recommendations:[]}),{status:p,setStatus:h}=C("loading"),k=R(r),b=R(a),{hasProvider:E,register:N}=I(),{client:T,isContextClient:j}=q(s);P({recommendClient:T});const v=t.useRef(i);return t.useEffect((()=>{v.current=i}),[i]),F(d,"FrequentlyBoughtTogether"),t.useEffect((()=>{const t={indexName:e,maxRecommendations:n,objectIDs:k,queryParameters:b,threshold:o,transformItems:v.current};if(E&&j){const r=JSON.stringify(t),a=k.map((t=>({indexName:e,model:"bought-together",threshold:o,maxRecommendations:n,objectID:t,queryParameters:b,userToken:c,region:u})));return N({key:r,getParameters:()=>({queries:a,keyPair:{key:r,value:k.length}}),onRequest(){h("loading")},onResult(e){g(e),h("idle")}})}return h("loading"),c&&u?(T.addAlgoliaAgent("experimental-personalization"),y({apiKey:T.transporter.queryParameters["x-algolia-api-key"],appId:T.appId,region:u,userToken:c}).then((e=>{l({...t,queryParameters:{...t.queryParameters,optionalFilters:[...e,...t.queryParameters?.optionalFilters??[]]},recommendClient:T}).then((e=>{g(e),h("idle")}))}))):l({...t,recommendClient:T}).then((e=>{g(e),h("idle")})),()=>{}}),[e,n,k,b,T,h,o,E,j,N,c,u]),{...f,status:p}}const j=function({createElement:e,Fragment:t}){return function(r){const i={title:"Frequently bought together",sliderLabel:"Frequently bought together products",...r.translations},m=r.classNames??{},c=r.children??a({createElement:e,Fragment:t}),l=r.fallbackComponent??function(){return null},u=r.headerComponent??s({createElement:e,Fragment:t}),d=r.view??o({createElement:e,Fragment:t});return c({classNames:m,Fallback:()=>e(l,{Fragment:t,createElement:e}),Header:u,recommendations:r.items,status:r.status,translations:i,View:a=>e(d,n({classNames:m,itemComponent:r.itemComponent,items:r.items,translations:i,Fragment:t,createElement:e},a))})}}({createElement:t.createElement,Fragment:t.Fragment});function v({fallbackParameters:e,indexName:n,maxRecommendations:r,objectIDs:a,queryParameters:s,recommendClient:o,threshold:i,transformItems:m=(e=>e),...c}){const{userToken:l,region:u,suppressExperimentalWarning:f}=x(c),[g,p]=t.useState({recommendations:[]}),{status:h,setStatus:k}=C("loading"),b=R(a),E=R(s),N=R(e),{hasProvider:T,register:j}=I(),{client:v,isContextClient:w}=q(o);P({recommendClient:v});const A=t.useRef(m);return t.useEffect((()=>{A.current=m}),[m]),F(f,"RelatedProducts"),t.useEffect((()=>{const e={fallbackParameters:N,indexName:n,maxRecommendations:r,objectIDs:b,queryParameters:E,threshold:i,transformItems:A.current};if(T&&w){const t=JSON.stringify(e),a=b.map((e=>({indexName:n,model:"related-products",threshold:i,maxRecommendations:r,objectID:e,queryParameters:E,fallbackParameters:N,userToken:l,region:u})));return j({key:t,getParameters:()=>({queries:a,keyPair:{key:t,value:b.length}}),onRequest(){k("loading")},onResult(e){p(e),k("idle")}})}return k("loading"),l&&u?(v.addAlgoliaAgent("experimental-personalization"),y({apiKey:v.transporter.queryParameters["x-algolia-api-key"],appId:v.appId,region:u,userToken:l}).then((t=>{d({...e,queryParameters:{...e.queryParameters,optionalFilters:[...t,...e.queryParameters?.optionalFilters??[]]},recommendClient:v}).then((e=>{p(e),k("idle")}))}))):d({...e,recommendClient:v}).then((e=>{p(e),k("idle")})),()=>{}}),[v,N,T,n,w,r,b,E,j,k,i,l,u]),{...g,status:h}}const w=function({createElement:e,Fragment:t}){return function(r){const i={title:"Related products",sliderLabel:"Related products",...r.translations},m=r.classNames??{},c=r.children??a({createElement:e,Fragment:t}),l=r.fallbackComponent??function(){return null},u=r.headerComponent??s({createElement:e,Fragment:t}),d=r.view??o({createElement:e,Fragment:t});return c({classNames:m,Fallback:()=>e(l,{Fragment:t,createElement:e}),Header:u,recommendations:r.items,status:r.status,translations:i,View:a=>e(d,n({classNames:m,itemComponent:r.itemComponent,items:r.items,translations:i,Fragment:t,createElement:e},a))})}}({createElement:t.createElement,Fragment:t.Fragment});function A({fallbackParameters:e,indexName:n,maxRecommendations:r,objectIDs:a,queryParameters:s,recommendClient:o,threshold:i,transformItems:m=(e=>e),...c}){const{userToken:l,region:u,suppressExperimentalWarning:d}=x(c),[g,p]=t.useState({recommendations:[]}),{status:h,setStatus:k}=C("loading"),b=R(a),E=R(s),N=R(e),{hasProvider:T,register:j}=I(),{client:v,isContextClient:w}=q(o);P({recommendClient:v});const A=t.useRef(m);return t.useEffect((()=>{A.current=m}),[m]),F(d,"LookingSimilar"),t.useEffect((()=>{const e={fallbackParameters:N,indexName:n,maxRecommendations:r,objectIDs:b,queryParameters:E,threshold:i,transformItems:A.current};if(T&&w){const t=JSON.stringify(e),a=b.map((e=>({indexName:n,model:"looking-similar",threshold:i,maxRecommendations:r,objectID:e,queryParameters:E,fallbackParameters:N,userToken:l,region:u})));return j({key:t,getParameters:()=>({queries:a,keyPair:{key:t,value:b.length}}),onRequest(){k("loading")},onResult(e){p(e),k("idle")}})}return k("loading"),l&&u?(v.addAlgoliaAgent("experimental-personalization"),y({apiKey:v.transporter.queryParameters["x-algolia-api-key"],appId:v.appId,region:u,userToken:l}).then((t=>{f({...e,queryParameters:{...e.queryParameters,optionalFilters:[...t,...e.queryParameters?.optionalFilters??[]]},recommendClient:v}).then((e=>{p(e),k("idle")}))}))):f({...e,recommendClient:v}).then((e=>{p(e),k("idle")})),()=>{}}),[v,N,T,n,w,r,b,E,j,k,i,l,u]),{...g,status:h}}const S=function({createElement:e,Fragment:t}){return function(r){const i={title:"Looking Similar",sliderLabel:"Looking 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t.useEffect((()=>{A.current=c}),[c]),F(f,"TrendingItems"),t.useEffect((()=>{const e={model:"trending-items",fallbackParameters:N,indexName:n,maxRecommendations:r,queryParameters:E,threshold:o,facetName:i,facetValue:m,transformItems:A.current};if(T&&w){const t=[{...e,userToken:u,region:d}],n=JSON.stringify(e);return j({key:n,getParameters:()=>({queries:t,keyPair:{key:n,value:1}}),onRequest(){b("loading")},onResult(e){h(e),b("idle")}})}return b("loading"),u&&d?(v.addAlgoliaAgent("experimental-personalization"),y({apiKey:v.transporter.queryParameters["x-algolia-api-key"],appId:v.appId,region:d,userToken:u}).then((t=>{g({...e,queryParameters:{...e.queryParameters,optionalFilters:[...t,...e.queryParameters?.optionalFilters??[]]},recommendClient:v}).then((e=>{h(e),b("idle")}))}))):g({...e,recommendClient:v,transformItems:A.current}).then((e=>{h(e),b("idle")})),()=>{}}),[N,n,r,E,v,b,o,i,m,T,w,j,u,d]),{...p,status:k}}const O=function({createElement:e,Fragment:t}){return function(r){const 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B=(e,t)=>{const{type:n}=t;switch(n){case"register":{const{widget:n}=t,r=n.getParameters(),a=function(e,t){return Boolean(e.find((e=>V(e.param,t))))}(e.widgets,r);return a?e:{...e,widgets:[...e.widgets,{...n,param:r}],isDirty:Date.now()}}case"unregister":{const{key:n}=t;return{...e,widgets:e.widgets.filter((e=>e.key!==n))}}case"request_success":return{...e,status:"idle",isDirty:null};default:return e}};function W({fallbackParameters:e,indexName:n,maxRecommendations:r,queryParameters:a,recommendClient:s,threshold:o,transformItems:i=(e=>e)}){const[m,l]=t.useState({recommendations:[]}),{status:u,setStatus:d}=C("loading"),f=R(a),g=R(e),{hasProvider:p,register:h}=I(),{client:y,isContextClient:k}=q(s);P({recommendClient:y});const x=t.useRef(i);return t.useEffect((()=>{x.current=i}),[i]),t.useEffect((()=>{const e={fallbackParameters:g,indexName:n,maxRecommendations:r,queryParameters:f,threshold:o,transformItems:x.current};if(p&&k){const 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+/*! @algolia/recommend-react 1.15.0 | MIT License | © Algolia, Inc. and contributors | https://github.com/algolia/recommend */
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dist/umd/index.js

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+/*! @algolia/recommend-react 1.15.0 | MIT License | © Algolia, Inc. and contributors | https://github.com/algolia/recommend */
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d=[],f=[];"trending-facets"===n?f=u.map((e=>e.hits)).flat():d="trending-items"===n?i({maxRecommendations:c,hits:u.map((e=>e.hits)).flat()}):o({maxRecommendations:c,hits:u.map((e=>e.hits)),nrOfObjs:e.value}),d=l(d),m[e.key]={recommendations:d,trendingFacets:f}})),m}({recommendClient:e,queries:n,keys:s}).then((e=>{Object.entries(e).forEach((([e,t])=>{r.widgets.forEach((n=>{n.key===e&&(n.onResult(t),r.cache[O(n.param.queries)]=t)}))})),a({type:"request_success"})}))}),[r.isDirty,a,r.widgets,r.cache,e]);const s=t.useCallback((e=>(a({type:"register",widget:e}),()=>{a({type:"unregister",key:e.key})})),[]),m=t.useMemo((()=>({register:s,recommendClient:e,hasProvider:!0})),[e,s]);return t.createElement(l.Provider,{value:m},n)},e.RecommendedForYou=function(e){const{recommendations:r,status:a}=N(e);return t.createElement(C,n({},e,{items:r,status:a}))},e.RelatedProducts=function(e){const{recommendations:r,status:a}=p(e);return t.createElement(E,n({},e,{items:r,status:a}))},e.TrendingFacets=function(e){const{recommendations:r,status:a}=F(e);return t.createElement(I,n({},e,{items:r,status:a}))},e.TrendingItems=function(e){const{recommendations:r,status:a}=q(e);return t.createElement(j,n({},e,{items:r,status:a}))},e.useFrequentlyBoughtTogether=x,e.useLookingSimilar=P,e.useRecommendations=function({fallbackParameters:e,indexName:n,maxRecommendations:r,model:a,objectIDs:s,queryParameters:m,recommendClient:i,threshold:l,transformItems:u=(e=>e)}){const[d,g]=t.useState({recommendations:[]}),{status:h,setStatus:x}=b("loading"),R=y(s),p=y(m),E=y(e);f({recommendClient:i});const N=t.useRef(u);return t.useEffect((()=>{N.current=u}),[u]),t.useEffect((()=>{x("loading"),function({objectIDs:e,recommendClient:t,transformItems:n=(e=>e),fallbackParameters:r,indexName:a,maxRecommendations:s,model:m,queryParameters:i,threshold:l}){const u=e.map((e=>({fallbackParameters:r,indexName:a,maxRecommendations:s,model:m,objectID:e,queryParameters:i,threshold:l})));return t.addAlgoliaAgent("recommend-core",c),0===u.length?Promise.resolve({recommendations:[]}):t.getRecommendations(u).then((t=>o({maxRecommendations:s,hits:t.results.map((e=>e.hits)),nrOfObjs:e.length}))).then((e=>({recommendations:n(e)})))}({fallbackParameters:E,indexName:n,maxRecommendations:r,model:a,objectIDs:R,queryParameters:p,recommendClient:i,threshold:l,transformItems:N.current}).then((e=>{g(e),x("idle")}))}),[E,n,r,a,R,p,i,x,l]),{...d,status:h}},e.useRecommendedForYou=N,e.useRelatedProducts=p,e.useTrendingFacets=F,e.useTrendingItems=q}));
 //# sourceMappingURL=index.js.map

package.json

 {
   "name": "@algolia/recommend-react",
   "description": "React package for Algolia Recommend.",
-  "version": "1.14.0",
+  "version": "1.15.0",
   "license": "MIT",
@@ -32,4 +32,4 @@ "homepage": "https://github.com/algolia/recommend",
   "dependencies": {
-    "@algolia/recommend-core": "1.14.0",
-    "@algolia/recommend-vdom": "1.14.0",
+    "@algolia/recommend-core": "1.15.0",
+    "@algolia/recommend-vdom": "1.15.0",
     "dequal": "2.0.3"
@@ -36,0 +36,0 @@ },

New alerts

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Found 1 instance in 1 package

Fixed alerts

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No metric changes

Dependency changes

• + Added@algolia/recommend-core@1.15.0(transitive)

• + Added@algolia/recommend-vdom@1.15.0(transitive)

• - Removed@algolia/recommend-core@1.14.0(transitive)

• - Removed@algolia/recommend-vdom@1.14.0(transitive)

• Updated@algolia/recommend-core@1.15.0

• Updated@algolia/recommend-vdom@1.15.0