From 23e49e68c7210b2abe1e381ddb799045a8a627fe Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Thu, 29 Aug 2024 16:44:07 +0300
Subject: [PATCH 01/41] Adds translator object + strings for search recs
 feature

---
 .../strings/searchRecommendationsStrings.js   | 152 ++++++++++++++++++
 1 file changed, 152 insertions(+)
 create mode 100644 contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js

diff --git a/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js b/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
new file mode 100644
index 0000000000..d4c9ec4d09
--- /dev/null
+++ b/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
@@ -0,0 +1,152 @@
+import { createTranslator } from 'shared/i18n';
+
+export const searchRecommendationsStrings = createTranslator('SearchRecommendationsStrings', {
+  aboutRecommendationsText: {
+    message: 'About Recommendations',
+    context: 'A title that introduces how the recommendation system works',
+  },
+  aboutRecommendationsDescription: {
+    message:
+      'Our recommendation system learns from the titles and descriptions of what you already have in your channel, and uses that to show you other potentially relevant resources across the Kolibri Library.\n\nInteracting with these recommendations, whether by using them or marking them as not relevant, will help us improve the quality of the recommendations you see.',
+    context: 'A description that explains how the recommendation system works',
+  },
+  goToLocationText: {
+    message: 'Go to location',
+    context: 'A label for an action that takes the user to a specific location',
+  },
+  resourcesMightBeRelevantTitle: {
+    message: "These resources might be relevant to '{ channelName }'",
+    context:
+      'A title for a list of resources that might be relevant to the user for a currently viewed channel',
+  },
+  viewMoreLink: {
+    message: 'View more',
+    context: 'A label for a link that takes the user to a page with more information',
+  },
+  resourcesInChannelMightBeRelevantTitle: {
+    message: "These resources in { channelName } might be relevant to '{ topic }'",
+    context:
+      'A title for a list of resources that might be relevant to the user for a currently viewed channel based on a specific topic',
+  },
+  showOtherResourcesLink: {
+    message: 'Show other resources anyway',
+    context: 'A label for a link that shows the user other resources that might not be relevant',
+  },
+  showOtherResourcesMessage: {
+    message: "We can show you other resources, but they might not be what you're looking for",
+    context:
+      'A message that explains to the user that there are other resources available, but they might not be relevant to their search',
+  },
+  tryAgainLink: {
+    message: 'Try again',
+    context:
+      'A label for a link that allows the user to try loading recommended resources again after an error',
+  },
+  problemShowingResourcesMessage: {
+    message: 'There was a problem showing these resources',
+    context:
+      'A message that explains to the user that an error was encountered while loading recommended resources',
+  },
+  noDirectMatchesMessage: {
+    message:
+      'No direct matches found, but there are other resources that might be helpful for your curriculum',
+    context:
+      'A message that explains to the user that there are no direct matches to their search, but there are other resources that might be helpful',
+  },
+  showOtherRecommendationsLink: {
+    message: 'Show other recommendations',
+    context: 'A label for a link that shows the user other recommendations',
+  },
+  markAsNotRelevantTooltip: {
+    message: 'Mark as not relevant',
+    context: 'A tooltip that explains to the user that they can mark a resource as not relevant',
+  },
+  feedbackConfirmationMessage: {
+    message: 'Thank you! Your feedback will help us improve your recommendations',
+    context: 'A message that thanks the user for their feedback on the provided recommendations',
+  },
+  giveFeedbackText: {
+    message: 'Give feedback',
+    context: 'A label that describes the act of providing feedback on a recommended resource',
+  },
+  undoAction: {
+    message: 'Undo',
+    context: 'A label for an action that allows the user to undo a previous action',
+  },
+  closeAction: {
+    message: 'Close',
+    context: 'A label for an action that closes a dialog or window',
+  },
+  cancelAction: {
+    message: 'Cancel',
+    context: 'A label for an action that cancels a previous action',
+  },
+  submitAction: {
+    message: 'Submit',
+    context: 'A label for an action that submits a request',
+  },
+  feedbackSubmittedMessage: {
+    message: 'Feedback submitted',
+    context: "A message that confirms that the user's feedback has been submitted successfully",
+  },
+  notRelevantAction: {
+    message: 'Not relevant',
+    context: 'A label for an action that marks a resource as not relevant',
+  },
+  giveFeedbackDescription: {
+    message:
+      'Help us understand why this resource is not relevant for you right now. Check all that apply:',
+    context:
+      'A description that asks the user to provide feedback on why a resource is not relevant',
+  },
+  notSuitableForCurriculumLabel: {
+    message: 'Not suitable for the curriculum I am using',
+    context:
+      "A label to a feedback option that explains that the resource is not suitable for the user's curriculum",
+  },
+  notRelatedToSubjectLabel: {
+    message: 'Not related to the subject or knowledge area I am trying to find resources for',
+    context:
+      "A label to a feedback option that explains that the resource is not related to the user's subject or knowledge area",
+  },
+  notSuitableForCulturalBackgroundLabel: {
+    message: 'Not suitable for the cultural backgrounds and experiences of learners',
+    context:
+      'A label to a feedback option that explains that the resource is not suitable for the cultural backgrounds and experiences of learners',
+  },
+  notSpecificLearningActivityLabel: {
+    message:
+      "Not the type of specific learning activity I'm looking for (e.g. reading text-based material, watching a video, interactive questions, etc.)",
+    context:
+      'A label to a feedback option that explains that the resource is not the type of specific learning activity the user is looking for',
+  },
+  tooAdvancedForLearnersLabel: {
+    message: "Too advanced for the knowledge level of learners I'm looking for",
+    context:
+      'A label to a feedback option that explains that the resource is too advanced for the knowledge level of learners',
+  },
+  tooBasicForLearnersLabel: {
+    message: "Too basic for the knowledge level of learners I'm looking for",
+    context:
+      'A label to a feedback option that explains that the resource is too basic for the knowledge level of learners',
+  },
+  resourceNotWellMadeLabel: {
+    message: "The resource doesn't look or sound well-made enough for use",
+    context: 'A label to a feedback option that explains that the resource is not well-made',
+  },
+  alreadyUsedResourceLabel: {
+    message: 'I already used this resource in my channel',
+    context:
+      'A label to a feedback option that explains that the user has already used the resource in their channel',
+  },
+  otherLabel: {
+    message: 'Other',
+    context:
+      'A label to a feedback option that explains that the resource is not relevant for another reason',
+  },
+  enterFeedbackLabel: {
+    message: 'Enter your feedback',
+    context:
+      'A label to an input that asks the user to enter their specific reason for marking a resource as not relevant',
+  },
+});

From 3e85347470822c4478af5a77bfd2e577326c692d Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Thu, 29 Aug 2024 16:53:53 +0300
Subject: [PATCH 02/41] change SearchOrBrowserWindow from Vuetify to KDS
 components

---
 .../contentcuration/dev_settings.py           |   2 +-
 .../views/ImportFromChannels/ChannelList.vue  |  12 +-
 .../SearchOrBrowseWindow.vue                  | 132 ++++++++++--------
 3 files changed, 84 insertions(+), 62 deletions(-)

diff --git a/contentcuration/contentcuration/dev_settings.py b/contentcuration/contentcuration/dev_settings.py
index 439bdef8af..d81d23a993 100644
--- a/contentcuration/contentcuration/dev_settings.py
+++ b/contentcuration/contentcuration/dev_settings.py
@@ -5,4 +5,4 @@
 
 ROOT_URLCONF = "contentcuration.dev_urls"
 
-INSTALLED_APPS += ("drf_yasg", "automation")
+INSTALLED_APPS += ("drf_yasg",)
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue
index 6741ffc6c2..cc12638065 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue
@@ -6,10 +6,10 @@
       <DropdownWrapper
         component="VFlex"
         sm6
-        md5
-        lg4
-        xl3
-        class="pr-4"
+        md6
+        lg6
+        xl6
+        class="px-3"
       >
         <template #default="{ attach, menuProps }">
           <VSelect
@@ -23,7 +23,7 @@
           />
         </template>
       </DropdownWrapper>
-      <VFlex sm6 md5 lg4 xl3 class="pr-5">
+      <VFlex sm6 md6 lg6 xl6 class="pr-3">
         <LanguageDropdown v-model="languageFilter" />
       </VFlex>
     </VLayout>
@@ -38,7 +38,7 @@
         v-for="channel in channels"
         :key="channel.id"
         :channel="channel"
-        class="mb-3"
+        class="mb-3 mx-3"
       />
       <VLayout justify-center class="mt-4">
         <Pagination :totalPages="pageCount" />
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 61fe498498..8f881b4101 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -2,7 +2,7 @@
 
   <ImportFromChannelsModal>
     <template #default="{ preview }">
-      <VSheet>
+      <div style="width: 1400px;">
         <div v-if="!isBrowsing" class="my-2 px-2">
           <ActionLink
             :text="$tr('backToBrowseAction')"
@@ -10,62 +10,84 @@
           />
         </div>
 
-        <!-- Search bar -->
-        <VLayout row wrap class="mt-4 px-2">
-          <VFlex style="max-width: 700px">
-            <VForm ref="search" @submit.prevent="handleSearchTerm">
-              <VTextField
-                v-model="searchTerm"
-                class="searchtext"
-                color="primary"
-                :label="$tr('searchLabel')"
-                box
-                clearable
-                hideDetails
-              >
-                <template #prepend-inner>
-                  <Icon icon="search" />
-                </template>
-                <template #append-outer>
-                  <VBtn
-                    class="px-4 search-btn"
+        <KGrid debug>
+          <!-- Main panel >= 800px -->
+          <KGridItem
+            :layout12="{ span: 8 }"
+            :layout8="{ span: 5 }"
+            :layout4="{ span: 3 }"
+          >
+            <!-- Search bar -->
+            <KGrid row wrap class="mt-4 px-3">
+              <KGridItem>
+                <VForm ref="search" @submit.prevent="handleSearchTerm">
+                  <VTextField
+                    v-model="searchTerm"
+                    class="searchtext"
                     color="primary"
-                    type="submit"
-                    :disabled="!searchIsValid"
-                    depressed
-                    large
+                    :label="$tr('searchLabel')"
+                    box
+                    clearable
+                    hideDetails
                   >
-                    {{ $tr('searchAction') }}
-                  </VBtn>
-                </template>
-              </VTextField>
-            </VForm>
-          </VFlex>
-        </VLayout>
-
-        <!-- Search or Topics Browsing -->
-        <ChannelList
-          v-if="isBrowsing && !$route.params.channelId"
-          @update-language="updateLanguageQuery"
-        />
-        <ContentTreeList
-          v-else-if="isBrowsing"
-          ref="contentTreeList"
-          :topicNode="topicNode"
-          :selected.sync="selected"
-          :topicId="$route.params.nodeId"
-          @preview="preview($event)"
-          @change_selected="handleChangeSelected"
-          @copy_to_clipboard="handleCopyToClipboard"
-        />
-        <SearchResultsList
-          v-else
-          :selected.sync="selected"
-          @preview="preview($event)"
-          @change_selected="handleChangeSelected"
-          @copy_to_clipboard="handleCopyToClipboard"
-        />
-      </VSheet>
+                    <template #prepend-inner>
+                      <Icon icon="search" />
+                    </template>
+                    <template #append-outer>
+                      <VBtn
+                        class="px-4 search-btn"
+                        color="primary"
+                        type="submit"
+                        :disabled="!searchIsValid"
+                        depressed
+                        large
+                      >
+                        {{ $tr('searchAction') }}
+                      </VBtn>
+                    </template>
+                  </VTextField>
+                </VForm>
+              </KGridItem>
+            </KGrid>
+
+            <!-- Search or Topics Browsing -->
+            <KGrid>
+              <KGridItem>
+                <ChannelList
+                  v-if="isBrowsing && !$route.params.channelId"
+                  @update-language="updateLanguageQuery"
+                />
+                <ContentTreeList
+                  v-else-if="isBrowsing"
+                  ref="contentTreeList"
+                  :topicNode="topicNode"
+                  :selected.sync="selected"
+                  :topicId="$route.params.nodeId"
+                  @preview="preview($event)"
+                  @change_selected="handleChangeSelected"
+                  @copy_to_clipboard="handleCopyToClipboard"
+                />
+                <SearchResultsList
+                  v-else
+                  :selected.sync="selected"
+                  @preview="preview($event)"
+                  @change_selected="handleChangeSelected"
+                  @copy_to_clipboard="handleCopyToClipboard"
+                />
+              </KGridItem>
+            </KGrid>
+          </KGridItem>
+
+          <!-- Recommended resources panel >= 400px -->
+          <KGridItem
+            :layout12="{ span: 4 }"
+            :layout8="{ span: 3 }"
+            :layout4="{ span: 1 }"
+          >
+            <p>Test width</p>
+          </KGridItem>
+        </KGrid>
+      </div>
     </template>
   </ImportFromChannelsModal>
 

From fe76812f78143f5ea28b97ce4dbd3a9dba86f191 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Sep 2024 18:26:04 +0300
Subject: [PATCH 03/41] add about recommendations link

---
 .../ImportFromChannelsModal.vue               |  5 ++++-
 .../SearchOrBrowseWindow.vue                  | 19 ++++++++++++++++---
 2 files changed, 20 insertions(+), 4 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ImportFromChannelsModal.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ImportFromChannelsModal.vue
index e085b6fe7d..25e18174a0 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ImportFromChannelsModal.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ImportFromChannelsModal.vue
@@ -277,7 +277,10 @@
 <style lang="less" scoped>
 
   .modal-container.fluid {
-    max-width: 1200px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    max-width: 100%;
   }
 
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 8f881b4101..e8259eedb3 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -2,7 +2,7 @@
 
   <ImportFromChannelsModal>
     <template #default="{ preview }">
-      <div style="width: 1400px;">
+      <div style="width: 1200px; ">
         <div v-if="!isBrowsing" class="my-2 px-2">
           <ActionLink
             :text="$tr('backToBrowseAction')"
@@ -84,7 +84,12 @@
             :layout8="{ span: 3 }"
             :layout4="{ span: 1 }"
           >
-            <p>Test width</p>
+            <div class="my-2 px-2">
+              <ActionLink
+                :text="aboutRecommendationsText$()"
+                @click="handleBackToBrowse"
+              />
+            </div>
           </KGridItem>
         </KGrid>
       </div>
@@ -103,6 +108,7 @@
   import SearchResultsList from './SearchResultsList';
   import ImportFromChannelsModal from './ImportFromChannelsModal';
   import { withChangeTracker } from 'shared/data/changes';
+  import { searchRecommendationsStrings } from 'shared/strings/searchRecommendationsStrings';
 
   export default {
     name: 'SearchOrBrowseWindow',
@@ -112,6 +118,13 @@
       SearchResultsList,
       ChannelList,
     },
+    setup() {
+      const { aboutRecommendationsText$ } = searchRecommendationsStrings;
+
+      return {
+        aboutRecommendationsText$,
+      };
+    },
     data() {
       return {
         searchTerm: '',
@@ -232,7 +245,7 @@
 <style lang="less" scoped>
 
   .v-form {
-    max-width: 900px;
+    max-width: 100%;
   }
 
   .searchtext /deep/ .v-input__append-outer {

From 1b5fe71cd745bbf9c0ccb011242d96995db1bc25 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Sep 2024 18:30:13 +0300
Subject: [PATCH 04/41] Update Translator object to expose a destructurable
 interface for strings

---
 .../contentcuration/frontend/shared/i18n/index.js     | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/shared/i18n/index.js b/contentcuration/contentcuration/frontend/shared/i18n/index.js
index f6a2ebf17f..d391bd97b8 100644
--- a/contentcuration/contentcuration/frontend/shared/i18n/index.js
+++ b/contentcuration/contentcuration/frontend/shared/i18n/index.js
@@ -129,13 +129,16 @@ class Translator {
    * @param {object} defaultMessages - an object mapping message ids to default messages.
    */
   constructor(nameSpace, defaultMessages) {
-    this.nameSpace = nameSpace;
-    this.defaultMessages = defaultMessages;
+    this._nameSpace = nameSpace;
+    this._defaultMessages = defaultMessages;
+    for (const key in defaultMessages) {
+      this[`${key}$`] = this.$tr.bind(this, key);
+    }
   }
   $tr(messageId, args) {
     return $trWrapper(
-      this.nameSpace,
-      this.defaultMessages,
+      this._nameSpace,
+      this._defaultMessages,
       Vue.prototype.$formatMessage,
       messageId,
       args

From f51e08fed13bed59669e917eea8bb12f5ddd5bc1 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Sep 2024 19:43:10 +0300
Subject: [PATCH 05/41] adds recommendations title

---
 .../ImportFromChannels/SearchOrBrowseWindow.vue     | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index e8259eedb3..f391683e10 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -84,6 +84,13 @@
             :layout8="{ span: 3 }"
             :layout4="{ span: 1 }"
           >
+            <h3 class="px-2 py-2">
+              {{
+                resourcesMightBeRelevantTitle$({
+                  channelName: 'CK-12'
+                })
+              }}
+            </h3>
             <div class="my-2 px-2">
               <ActionLink
                 :text="aboutRecommendationsText$()"
@@ -119,10 +126,14 @@
       ChannelList,
     },
     setup() {
-      const { aboutRecommendationsText$ } = searchRecommendationsStrings;
+      const {
+        aboutRecommendationsText$,
+        resourcesMightBeRelevantTitle$,
+      } = searchRecommendationsStrings;
 
       return {
         aboutRecommendationsText$,
+        resourcesMightBeRelevantTitle$,
       };
     },
     data() {

From eeb853744c81d651ecf809f9853c1adf29b11dc4 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Sep 2024 19:59:18 +0300
Subject: [PATCH 06/41] updates strings

---
 .../frontend/shared/strings/searchRecommendationsStrings.js     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js b/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
index d4c9ec4d09..27039e55d9 100644
--- a/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
+++ b/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
@@ -15,7 +15,7 @@ export const searchRecommendationsStrings = createTranslator('SearchRecommendati
     context: 'A label for an action that takes the user to a specific location',
   },
   resourcesMightBeRelevantTitle: {
-    message: "These resources might be relevant to '{ channelName }'",
+    message: "These resources might be relevant to '{ topic }'",
     context:
       'A title for a list of resources that might be relevant to the user for a currently viewed channel',
   },

From a43dcbbddbd2a05165751762341d650f59fb294b Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Sep 2024 20:38:15 +0300
Subject: [PATCH 07/41] Adds about recommendations modal

---
 .../SearchOrBrowseWindow.vue                  | 27 +++++++++++++++++--
 1 file changed, 25 insertions(+), 2 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index f391683e10..68e573f907 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -87,18 +87,30 @@
             <h3 class="px-2 py-2">
               {{
                 resourcesMightBeRelevantTitle$({
-                  channelName: 'CK-12'
+                  topic: 'Basic Addition'
                 })
               }}
             </h3>
             <div class="my-2 px-2">
               <ActionLink
                 :text="aboutRecommendationsText$()"
-                @click="handleBackToBrowse"
+                @click="handleAboutRecommendations"
               />
             </div>
           </KGridItem>
         </KGrid>
+
+        <KModal
+          v-if="showAboutRecommendations"
+          :title="aboutRecommendationsText$()"
+          :cancelText="closeAction$()"
+          @cancel="closeAboutRecommendations"
+        >
+          <p>
+            {{ aboutRecommendationsDescription$() }}
+          </p>
+        </KModal>
+
       </div>
     </template>
   </ImportFromChannelsModal>
@@ -127,13 +139,17 @@
     },
     setup() {
       const {
+        closeAction$,
         aboutRecommendationsText$,
         resourcesMightBeRelevantTitle$,
+        aboutRecommendationsDescription$,
       } = searchRecommendationsStrings;
 
       return {
+        closeAction$,
         aboutRecommendationsText$,
         resourcesMightBeRelevantTitle$,
+        aboutRecommendationsDescription$,
       };
     },
     data() {
@@ -142,6 +158,7 @@
         topicNode: null,
         copyNode: null,
         languageFromChannelList: null,
+        showAboutRecommendations: false,
       };
     },
     computed: {
@@ -237,6 +254,12 @@
             throw error;
           });
       }),
+      handleAboutRecommendations() {
+        this.showAboutRecommendations = true;
+      },
+      closeAboutRecommendations() {
+        this.showAboutRecommendations = false;
+      },
     },
     $trs: {
       backToBrowseAction: 'Back to browse',

From 675cdae500520406eb9c11821397f0b0aed03112 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Sep 2024 20:41:33 +0300
Subject: [PATCH 08/41] updates strings

---
 .../shared/strings/searchRecommendationsStrings.js        | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js b/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
index 27039e55d9..85614f7dd8 100644
--- a/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
+++ b/contentcuration/contentcuration/frontend/shared/strings/searchRecommendationsStrings.js
@@ -7,9 +7,15 @@ export const searchRecommendationsStrings = createTranslator('SearchRecommendati
   },
   aboutRecommendationsDescription: {
     message:
-      'Our recommendation system learns from the titles and descriptions of what you already have in your channel, and uses that to show you other potentially relevant resources across the Kolibri Library.\n\nInteracting with these recommendations, whether by using them or marking them as not relevant, will help us improve the quality of the recommendations you see.',
+      'Our recommendation system learns from the titles and descriptions of what you already have in your channel, and uses that to show you other potentially relevant resources across the Kolibri Library.',
     context: 'A description that explains how the recommendation system works',
   },
+  aboutRecommendationsFeedbackDescription: {
+    message:
+      'Interacting with these recommendations, whether by using them or marking them as not relevant, will help us improve the quality of the recommendations you see.',
+    context:
+      'A description that explains how the user can help improve the quality of the recommendations',
+  },
   goToLocationText: {
     message: 'Go to location',
     context: 'A label for an action that takes the user to a specific location',

From 3532e7558b25fce5c951ca7e6cd986e1fdbee827 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Wed, 4 Sep 2024 13:41:41 +0300
Subject: [PATCH 09/41] Adds reponsiveness to page

---
 .../views/ImportFromChannels/ChannelList.vue  |   6 +-
 .../ImportFromChannels/SearchFilters.vue      |   2 +-
 .../SearchOrBrowseWindow.vue                  | 217 +++++++++---------
 .../ImportFromChannels/SearchResultsList.vue  |   2 +-
 4 files changed, 118 insertions(+), 109 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue
index cc12638065..d9b0669abd 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/ChannelList.vue
@@ -9,7 +9,7 @@
         md6
         lg6
         xl6
-        class="px-3"
+        class="pr-3"
       >
         <template #default="{ attach, menuProps }">
           <VSelect
@@ -23,7 +23,7 @@
           />
         </template>
       </DropdownWrapper>
-      <VFlex sm6 md6 lg6 xl6 class="pr-3">
+      <VFlex sm6 md6 lg6 xl6>
         <LanguageDropdown v-model="languageFilter" />
       </VFlex>
     </VLayout>
@@ -38,7 +38,7 @@
         v-for="channel in channels"
         :key="channel.id"
         :channel="channel"
-        class="mb-3 mx-3"
+        class="mb-3"
       />
       <VLayout justify-center class="mt-4">
         <Pagination :totalPages="pageCount" />
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchFilters.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchFilters.vue
index 128e990ecb..43e6e4d2f2 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchFilters.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchFilters.vue
@@ -3,7 +3,7 @@
   <VNavigationDrawer
     permanent
     floating
-    class="import-search-filters px-2"
+    class="import-search-filters"
   >
     <!-- Channel -->
     <p class="font-weight-bold grey--text mb-1">
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 68e573f907..93ba86daac 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -2,116 +2,113 @@
 
   <ImportFromChannelsModal>
     <template #default="{ preview }">
-      <div style="width: 1200px; ">
-        <div v-if="!isBrowsing" class="my-2 px-2">
-          <ActionLink
-            :text="$tr('backToBrowseAction')"
-            @click="handleBackToBrowse"
-          />
-        </div>
 
-        <KGrid debug>
-          <!-- Main panel >= 800px -->
-          <KGridItem
-            :layout12="{ span: 8 }"
-            :layout8="{ span: 5 }"
-            :layout4="{ span: 3 }"
-          >
-            <!-- Search bar -->
-            <KGrid row wrap class="mt-4 px-3">
-              <KGridItem>
-                <VForm ref="search" @submit.prevent="handleSearchTerm">
-                  <VTextField
-                    v-model="searchTerm"
-                    class="searchtext"
-                    color="primary"
-                    :label="$tr('searchLabel')"
-                    box
-                    clearable
-                    hideDetails
-                  >
-                    <template #prepend-inner>
-                      <Icon icon="search" />
-                    </template>
-                    <template #append-outer>
-                      <VBtn
-                        class="px-4 search-btn"
-                        color="primary"
-                        type="submit"
-                        :disabled="!searchIsValid"
-                        depressed
-                        large
-                      >
-                        {{ $tr('searchAction') }}
-                      </VBtn>
-                    </template>
-                  </VTextField>
-                </VForm>
-              </KGridItem>
-            </KGrid>
+      <KGrid style="width: 1200px;">
 
-            <!-- Search or Topics Browsing -->
-            <KGrid>
-              <KGridItem>
-                <ChannelList
-                  v-if="isBrowsing && !$route.params.channelId"
-                  @update-language="updateLanguageQuery"
-                />
-                <ContentTreeList
-                  v-else-if="isBrowsing"
-                  ref="contentTreeList"
-                  :topicNode="topicNode"
-                  :selected.sync="selected"
-                  :topicId="$route.params.nodeId"
-                  @preview="preview($event)"
-                  @change_selected="handleChangeSelected"
-                  @copy_to_clipboard="handleCopyToClipboard"
-                />
-                <SearchResultsList
-                  v-else
-                  :selected.sync="selected"
-                  @preview="preview($event)"
-                  @change_selected="handleChangeSelected"
-                  @copy_to_clipboard="handleCopyToClipboard"
-                />
-              </KGridItem>
-            </KGrid>
-          </KGridItem>
+        <!-- Back to browse button -->
+        <KGridItem
+          :layout12="{ span: 12 }"
+          :layout8="{ span: 8 }"
+          :layout4="{ span: 4 }"
+        >
+          <div v-if="!isBrowsing" class="my-2">
+            <ActionLink
+              :text="$tr('backToBrowseAction')"
+              @click="handleBackToBrowse"
+            />
+          </div>
+        </KGridItem>
 
-          <!-- Recommended resources panel >= 400px -->
-          <KGridItem
-            :layout12="{ span: 4 }"
-            :layout8="{ span: 3 }"
-            :layout4="{ span: 1 }"
-          >
-            <h3 class="px-2 py-2">
-              {{
-                resourcesMightBeRelevantTitle$({
-                  topic: 'Basic Addition'
-                })
-              }}
-            </h3>
-            <div class="my-2 px-2">
-              <ActionLink
-                :text="aboutRecommendationsText$()"
-                @click="handleAboutRecommendations"
-              />
-            </div>
-          </KGridItem>
-        </KGrid>
+        <!-- Main panel >= 800px -->
+        <KGridItem
+          :layout12="{ span: layoutFitsTwoColumns ? 8 : 12 }"
+          :layout8="{ span: 8 }"
+          :layout4="{ span: 4 }"
+        >
+          <!-- Search bar -->
+          <VForm ref="search" @submit.prevent="handleSearchTerm">
+            <VTextField
+              v-model="searchTerm"
+              class="searchtext"
+              color="primary"
+              :label="$tr('searchLabel')"
+              box
+              clearable
+              hideDetails
+            >
+              <template #prepend-inner>
+                <Icon icon="search" />
+              </template>
+              <template #append-outer>
+                <VBtn
+                  class="px-4 search-btn"
+                  color="primary"
+                  type="submit"
+                  :disabled="!searchIsValid"
+                  depressed
+                  large
+                >
+                  {{ $tr('searchAction') }}
+                </VBtn>
+              </template>
+            </VTextField>
+          </VForm>
+          <!-- Search or Topics Browsing -->
+          <ChannelList
+            v-if="isBrowsing && !$route.params.channelId"
+            @update-language="updateLanguageQuery"
+          />
+          <ContentTreeList
+            v-else-if="isBrowsing"
+            ref="contentTreeList"
+            :topicNode="topicNode"
+            :selected.sync="selected"
+            :topicId="$route.params.nodeId"
+            @preview="preview($event)"
+            @change_selected="handleChangeSelected"
+            @copy_to_clipboard="handleCopyToClipboard"
+          />
+          <SearchResultsList
+            v-else
+            :selected.sync="selected"
+            @preview="preview($event)"
+            @change_selected="handleChangeSelected"
+            @copy_to_clipboard="handleCopyToClipboard"
+          />
+        </KGridItem>
 
-        <KModal
-          v-if="showAboutRecommendations"
-          :title="aboutRecommendationsText$()"
-          :cancelText="closeAction$()"
-          @cancel="closeAboutRecommendations"
+        <!-- Recommended resources panel >= 400px -->
+        <KGridItem
+          :layout12="{ span: layoutFitsTwoColumns ? 4 : 12 }"
+          :layout8="{ span: 8 }"
+          :layout4="{ span: 4 }"
         >
-          <p>
-            {{ aboutRecommendationsDescription$() }}
-          </p>
-        </KModal>
+          <h3 class="pb-2 pt-0 px-2">
+            {{ resourcesMightBeRelevantTitle$({ topic: 'Basic Addition' }) }}
+          </h3>
+          <div class="my-2 px-2">
+            <ActionLink
+              :text="aboutRecommendationsText$()"
+              @click="handleAboutRecommendations"
+            />
+          </div>
+        </KGridItem>
+      </KGrid>
 
-      </div>
+      <!-- About Recommendations Modal -->
+      <KModal
+        v-if="showAboutRecommendations"
+        :title="aboutRecommendationsText$()"
+        :cancelText="closeAction$()"
+        @cancel="closeAboutRecommendations"
+      >
+        <p class="pb-2">
+          {{ aboutRecommendationsDescription$() }}
+        </p>
+        <p>
+          {{ aboutRecommendationsFeedbackDescription$() }}
+        </p>
+      </KModal>
     </template>
   </ImportFromChannelsModal>
 
@@ -121,6 +118,8 @@
 <script>
 
   import { mapActions, mapMutations, mapState } from 'vuex';
+  import { computed } from '@vue/composition-api';
+  import useKResponsiveWindow from 'kolibri-design-system/lib/composables/useKResponsiveWindow';
   import { RouteNames } from '../../constants';
   import ChannelList from './ChannelList';
   import ContentTreeList from './ContentTreeList';
@@ -138,18 +137,28 @@
       ChannelList,
     },
     setup() {
+      const { windowWidth } = useKResponsiveWindow();
+
       const {
         closeAction$,
         aboutRecommendationsText$,
         resourcesMightBeRelevantTitle$,
         aboutRecommendationsDescription$,
+        aboutRecommendationsFeedbackDescription$,
       } = searchRecommendationsStrings;
 
+      const layoutFitsTwoColumns = computed(function() {
+        return windowWidth.value >= 960;
+      });
+
       return {
         closeAction$,
         aboutRecommendationsText$,
         resourcesMightBeRelevantTitle$,
         aboutRecommendationsDescription$,
+        aboutRecommendationsFeedbackDescription$,
+
+        layoutFitsTwoColumns,
       };
     },
     data() {
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchResultsList.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchResultsList.vue
index b4a7d3d393..d45305212c 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchResultsList.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchResultsList.vue
@@ -5,7 +5,7 @@
     <SearchFilterBar />
     <VLayout row>
       <VFlex shrink>
-        <div class="px-2">
+        <div>
           <ActionLink
             class="mb-3"
             :text="$tr('savedSearchesLabel')"

From c8f8db94e6aba6cf7641232427807b22ee4d10b5 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Thu, 5 Sep 2024 19:29:28 +0300
Subject: [PATCH 10/41] Adds sample data request

---
 .../SearchOrBrowseWindow.vue                  | 21 +++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 93ba86daac..d066395a0c 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -92,6 +92,13 @@
               @click="handleAboutRecommendations"
             />
           </div>
+
+          <ul>
+            <RecommendedResourceCard
+              v-for="recommendation in recommendations"
+              :key="recommendation.id"
+            />
+          </ul>
         </KGridItem>
       </KGrid>
 
@@ -121,12 +128,14 @@
   import { computed } from '@vue/composition-api';
   import useKResponsiveWindow from 'kolibri-design-system/lib/composables/useKResponsiveWindow';
   import { RouteNames } from '../../constants';
+  import RecommendedResourceCard from '../../../RecommendedResourceCard/components/RecommendedResourceCard';
   import ChannelList from './ChannelList';
   import ContentTreeList from './ContentTreeList';
   import SearchResultsList from './SearchResultsList';
   import ImportFromChannelsModal from './ImportFromChannelsModal';
   import { withChangeTracker } from 'shared/data/changes';
   import { searchRecommendationsStrings } from 'shared/strings/searchRecommendationsStrings';
+  import client from 'shared/client';
 
   export default {
     name: 'SearchOrBrowseWindow',
@@ -135,6 +144,7 @@
       ContentTreeList,
       SearchResultsList,
       ChannelList,
+      RecommendedResourceCard,
     },
     setup() {
       const { windowWidth } = useKResponsiveWindow();
@@ -168,6 +178,7 @@
         copyNode: null,
         languageFromChannelList: null,
         showAboutRecommendations: false,
+        recommendations: [],
       };
     },
     computed: {
@@ -203,6 +214,7 @@
     },
     mounted() {
       this.searchTerm = this.$route.params.searchTerm || '';
+      this.loadSamplePublicContentNode();
     },
     methods: {
       ...mapActions('clipboard', ['copy']),
@@ -269,6 +281,15 @@
       closeAboutRecommendations() {
         this.showAboutRecommendations = false;
       },
+      loadSamplePublicContentNode() {
+        client
+          .get(
+            'https://studio.learningequality.org/api/public/v2/contentnode/cd99a903a0a24483ac933402bb452f54/'
+          )
+          .then(response => {
+            this.recommendations = Array(4).fill(response.data);
+          });
+      },
     },
     $trs: {
       backToBrowseAction: 'Back to browse',

From 3a74adc6f07a016ff9bcbe0293b9535259079c32 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Fri, 6 Sep 2024 17:01:47 +0300
Subject: [PATCH 11/41] Add latest KDS rc4 as dependency

---
 .../components/RecommendedResourceCard.vue    | 26 +++---
 .../SearchOrBrowseWindow.vue                  |  6 +-
 package.json                                  |  2 +-
 yarn.lock                                     | 86 +++++++++++--------
 4 files changed, 67 insertions(+), 53 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 4052c50a77..5ab52422ea 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -13,21 +13,17 @@
     :style="{ margin: '16px 0 16px 0' }"
   >
     <template #aboveTitle>
-      <div>
-        <KIcon
-          icon="practiceSolid"
-        />
+      <span>
+        <KIcon icon="practiceSolid" />
         <span>Practice</span>
-      </div>
-    </template>
-    <template #title>
+      </span>
     </template>
     <template #belowTitle>
-      <div class="bellow-title-style">
-        <p>
-          below title slot section for the KCard component:
-          below title slot section for the KCard component
-        </p>
+      <div>
+        <KTextTruncator
+          :text="description"
+          :maxLines="2"
+        />
       </div>
     </template>
     <template #footer>
@@ -54,6 +50,10 @@
         type: String,
         default: null,
       },
+      description: {
+        type: String,
+        default: null,
+      },
       headingLevel: {
         type: Number,
         required: true,
@@ -74,6 +74,6 @@
       justify-content: flex-end;
   }
   .recommended-resource-card {
-    max-width:400px
+    width: 100%;
   }
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 6ba7064d23..d2e1f776c7 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -54,7 +54,7 @@
             </VTextField>
           </VForm>
 
-          <div class="my-2 px-2">
+          <div v-if="!isBrowsing" class="my-2 px-2">
             <ActionLink
               class="mb-3"
               :text="$tr('savedSearchesLabel')"
@@ -106,6 +106,10 @@
             <RecommendedResourceCard
               v-for="recommendation in recommendations"
               :key="recommendation.id"
+              :to="{}"
+              :title="recommendation.title"
+              :description="recommendation.description"
+              :headingLevel="2"
             />
           </ul>
         </KGridItem>
diff --git a/package.json b/package.json
index ffe5fa9593..5862378ea6 100644
--- a/package.json
+++ b/package.json
@@ -74,7 +74,7 @@
     "jspdf": "https://github.com/parallax/jsPDF.git#b7a1d8239c596292ce86dafa77f05987bcfa2e6e",
     "jszip": "^3.10.1",
     "kolibri-constants": "^0.2.0",
-    "kolibri-design-system": "^4.2.0",
+    "kolibri-design-system": "^5.0.0-rc4",
     "lodash": "^4.17.21",
     "material-icons": "0.3.1",
     "mutex-js": "^1.1.5",
diff --git a/yarn.lock b/yarn.lock
index bf51f4402a..474c909e2b 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -3465,17 +3465,17 @@ anymatch@^3.0.3, anymatch@~3.1.2:
     normalize-path "^3.0.0"
     picomatch "^2.0.4"
 
-"aphrodite@https://github.com/learningequality/aphrodite.git":
+"aphrodite@git+https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "git+https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
     string-hash "^1.1.3"
 
-"aphrodite@https://github.com/learningequality/aphrodite/":
+"aphrodite@https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  resolved "https://github.com/learningequality/aphrodite/#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
@@ -4647,7 +4647,7 @@ collection-visit@^1.0.0:
     map-visit "^1.0.0"
     object-visit "^1.0.0"
 
-color-convert@^1.9.0:
+color-convert@^1.9.0, color-convert@^1.9.3:
   version "1.9.3"
   resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-1.9.3.tgz#bb71850690e1f136567de629d2d5471deda4c1e8"
   integrity sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==
@@ -4666,16 +4666,32 @@ color-name@1.1.3:
   resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.3.tgz#a7d0558bd89c42f795dd42328f740831ca53bc25"
   integrity sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==
 
-color-name@~1.1.4:
+color-name@^1.0.0, color-name@~1.1.4:
   version "1.1.4"
   resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
   integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
 
+color-string@^1.6.0:
+  version "1.9.1"
+  resolved "https://registry.yarnpkg.com/color-string/-/color-string-1.9.1.tgz#4467f9146f036f855b764dfb5bf8582bf342c7a4"
+  integrity sha512-shrVawQFojnZv6xM40anx4CkoDP+fZsw/ZerEMsW/pyzsRbElpsL/DBVW7q3ExxwusdNXI3lXpuhEZkzs8p5Eg==
+  dependencies:
+    color-name "^1.0.0"
+    simple-swizzle "^0.2.2"
+
 color-support@^1.1.3:
   version "1.1.3"
   resolved "https://registry.yarnpkg.com/color-support/-/color-support-1.1.3.tgz#93834379a1cc9a0c61f82f52f0d04322251bd5a2"
   integrity sha512-qiBjkpbMLO/HL68y+lh4q0/O1MZFj2RX6X/KmMa3+gJD3z+WwI1ZzDHysvqHGS3mP6mznPckpXmw1nI9cJjyRg==
 
+color@3.2.1:
+  version "3.2.1"
+  resolved "https://registry.yarnpkg.com/color/-/color-3.2.1.tgz#3544dc198caf4490c3ecc9a790b54fe9ff45e164"
+  integrity sha512-aBl7dZI9ENN6fUGC7mWpMTPNHmWUSNan9tuWN6ahh5ZLNk9baLJOnSMlrQkHcrfFgz2/RigjUVAjdx36VcemKA==
+  dependencies:
+    color-convert "^1.9.3"
+    color-string "^1.6.0"
+
 colord@^2.9.1, colord@^2.9.2:
   version "2.9.2"
   resolved "https://registry.yarnpkg.com/colord/-/colord-2.9.2.tgz#25e2bacbbaa65991422c07ea209e2089428effb1"
@@ -7751,6 +7767,11 @@ is-arrayish@^0.2.1:
   resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.2.1.tgz#77c99840527aa8ecb1a8ba697b80645a7a926a9d"
   integrity sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg==
 
+is-arrayish@^0.3.1:
+  version "0.3.2"
+  resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.3.2.tgz#4574a2ae56f7ab206896fb431eaeed066fdf8f03"
+  integrity sha512-eVRqCvVlZbuw3GrM63ovNSNAeA1K16kaR/LRY/92w0zxQ5/1YzwblUX652i4Xs9RwAGjW9d9y6X88t8OaAJfWQ==
+
 is-bigint@^1.0.1:
   version "1.0.4"
   resolved "https://registry.yarnpkg.com/is-bigint/-/is-bigint-1.0.4.tgz#08147a1875bc2b32005d41ccd8291dffc6691df3"
@@ -9374,14 +9395,15 @@ kolibri-constants@^0.2.0:
   resolved "https://registry.yarnpkg.com/kolibri-constants/-/kolibri-constants-0.2.5.tgz#2b9df4c477119d0ade2d66bf8aef8a4172f0418f"
   integrity sha512-ZoFZ83xgteZhFZtYjiOmITcZeSF+X42i12TOo87zmcdA78jj0dZbPYB+ttO855UxoKY8h4HHeDVZIUkE5TGa5g==
 
-kolibri-design-system@^4.2.0:
-  version "4.3.1"
-  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-4.3.1.tgz#09bb207e7507fc3c27f119054151485ffde67dd5"
-  integrity sha512-umMrqXorU3UzXQZ1ZAmUjYWB02phXcX0qmWwS+FAOPbOjUEjmB6pZ/lN5TjjeE3onZfasf+pjwb3xJx3F4Nn/A==
+kolibri-design-system@^5.0.0-rc4:
+  version "5.0.0-rc4"
+  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc4.tgz#1e5cbce52f7c9f46c71f5cdf178084cacbd1cf81"
+  integrity sha512-G27LPYA2ui/3s2qiSzwzeBc7+p8stG9HSbXdiZRNMAsZne9NENgWyYIm+3ZcOZBlOzkyExcCZHoRwmxmQBrK1Q==
   dependencies:
     "@vue/composition-api" "1.7.2"
     aphrodite "https://github.com/learningequality/aphrodite/"
     autosize "3.0.21"
+    color "3.2.1"
     css-element-queries "1.2.0"
     date-fns "1.30.1"
     frame-throttle "3.0.0"
@@ -9391,6 +9413,7 @@ kolibri-design-system@^4.2.0:
     purecss "2.2.0"
     tippy.js "4.2.1"
     vue-intl "3.1.0"
+    vue2-teleport "1.1.4"
     xstate "4.38.3"
 
 kolibri-tools@0.16.0-dev.3:
@@ -12318,6 +12341,13 @@ signal-exit@^4.0.1:
   resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.0.1.tgz#96a61033896120ec9335d96851d902cc98f0ba2a"
   integrity sha512-uUWsN4aOxJAS8KOuf3QMyFtgm1pkb6I+KRZbRF/ghdf5T7sM+B1lLLzPDxswUjkmHyxQAVzEgG35E3NzDM9GVw==
 
+simple-swizzle@^0.2.2:
+  version "0.2.2"
+  resolved "https://registry.yarnpkg.com/simple-swizzle/-/simple-swizzle-0.2.2.tgz#a4da6b635ffcccca33f70d17cb92592de95e557a"
+  integrity sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg==
+  dependencies:
+    is-arrayish "^0.3.1"
+
 sisteransi@^1.0.5:
   version "1.0.5"
   resolved "https://registry.yarnpkg.com/sisteransi/-/sisteransi-1.0.5.tgz#134d681297756437cc05ca01370d3a7a571075ed"
@@ -12691,16 +12721,7 @@ string-trim-spaces-only@^3.1.0:
   dependencies:
     "@babel/runtime" "^7.14.0"
 
-"string-width-cjs@npm:string-width@^4.2.0":
-  version "4.2.3"
-  resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
-  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
-  dependencies:
-    emoji-regex "^8.0.0"
-    is-fullwidth-code-point "^3.0.0"
-    strip-ansi "^6.0.1"
-
-"string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.3:
+"string-width-cjs@npm:string-width@^4.2.0", "string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.3:
   version "4.2.3"
   resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
   integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
@@ -12846,14 +12867,7 @@ stringify-object@^3.3.0:
     is-obj "^1.0.1"
     is-regexp "^1.0.0"
 
-"strip-ansi-cjs@npm:strip-ansi@^6.0.1":
-  version "6.0.1"
-  resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
-  integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
-  dependencies:
-    ansi-regex "^5.0.1"
-
-strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1:
+"strip-ansi-cjs@npm:strip-ansi@^6.0.1", strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1:
   version "6.0.1"
   resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
   integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
@@ -13997,6 +14011,11 @@ vue-template-es2015-compiler@^1.6.0, vue-template-es2015-compiler@^1.9.0:
   resolved "https://registry.yarnpkg.com/vue-template-es2015-compiler/-/vue-template-es2015-compiler-1.9.1.tgz#1ee3bc9a16ecbf5118be334bb15f9c46f82f5825"
   integrity sha512-4gDntzrifFnCEvyoO8PqyJDmguXgVPxKiIxrBKjIowvL9l+N66196+72XVYR8BBf1Uv1Fgt3bGevJ+sEmxfZzw==
 
+vue2-teleport@1.1.4:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/vue2-teleport/-/vue2-teleport-1.1.4.tgz#30c84b1005bf9c208b1c05f4b6147300c54ee846"
+  integrity sha512-mGTszyQP6k3sSSk7MBq+PZdVojHYLwg5772hl3UVpu5uaLBqWIZ5eNP6/TjkDrf1XUTTxybvpXC6inpjwO+i/Q==
+
 vue@^2.6.12:
   version "2.6.14"
   resolved "https://registry.yarnpkg.com/vue/-/vue-2.6.14.tgz#e51aa5250250d569a3fbad3a8a5a687d6036e235"
@@ -14554,7 +14573,7 @@ workbox-window@7.0.0, workbox-window@^7.0.0:
     "@types/trusted-types" "^2.0.2"
     workbox-core "7.0.0"
 
-"wrap-ansi-cjs@npm:wrap-ansi@^7.0.0":
+"wrap-ansi-cjs@npm:wrap-ansi@^7.0.0", wrap-ansi@^7.0.0:
   version "7.0.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
   integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
@@ -14572,15 +14591,6 @@ wrap-ansi@^6.2.0:
     string-width "^4.1.0"
     strip-ansi "^6.0.0"
 
-wrap-ansi@^7.0.0:
-  version "7.0.0"
-  resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
-  integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
-  dependencies:
-    ansi-styles "^4.0.0"
-    string-width "^4.1.0"
-    strip-ansi "^6.0.0"
-
 wrap-ansi@^8.1.0:
   version "8.1.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-8.1.0.tgz#56dc22368ee570face1b49819975d9b9a5ead214"

From 835e78c0ac078a37615705cd48700eb6e9903629 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 9 Sep 2024 18:31:02 +0300
Subject: [PATCH 12/41] Adds KCard

---
 .../views/ImportFromChannels/SearchOrBrowseWindow.vue         | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index d2e1f776c7..15f4e73137 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -102,7 +102,7 @@
             />
           </div>
 
-          <ul>
+          <div class="ml-1">
             <RecommendedResourceCard
               v-for="recommendation in recommendations"
               :key="recommendation.id"
@@ -111,7 +111,7 @@
               :description="recommendation.description"
               :headingLevel="2"
             />
-          </ul>
+          </div>
         </KGridItem>
       </KGrid>
       <SavedSearchesModal v-model="showSavedSearches" />

From e3f0cba24837407ce8b3e2dc238dfc73bc6296c5 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 24 Sep 2024 16:54:10 +0300
Subject: [PATCH 13/41] Adds KCardGrid

---
 .../components/RecommendedResourceCard.vue    |  9 ++++-----
 .../SearchOrBrowseWindow.vue                  | 20 ++++++++++---------
 2 files changed, 15 insertions(+), 14 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 5ab52422ea..e3215eb115 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -1,7 +1,6 @@
 <template>
 
   <KCard
-    class="recommended-resource-card"
     :to="to"
     :title="title"
     layout="horizontal"
@@ -10,8 +9,10 @@
     thumbnailDisplay="small"
     thumbnailAlign="right"
     :thumbnailSrc="thumbnailSrc"
-    :style="{ margin: '16px 0 16px 0' }"
   >
+    <template #select>
+      <KCheckbox />
+    </template>
     <template #aboveTitle>
       <span>
         <KIcon icon="practiceSolid" />
@@ -72,8 +73,6 @@
   .align-right-style{
       display: flex;
       justify-content: flex-end;
-  }
-  .recommended-resource-card {
-    width: 100%;
+      padding-top: 8px;
   }
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 15f4e73137..a090d756c1 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -95,7 +95,7 @@
           <h3 class="pb-2 pt-0 px-2">
             {{ resourcesMightBeRelevantTitle$({ topic: 'Basic Addition' }) }}
           </h3>
-          <div class="my-2 px-2">
+          <div class="my-3 px-2">
             <ActionLink
               :text="aboutRecommendationsText$()"
               @click="handleAboutRecommendations"
@@ -103,14 +103,16 @@
           </div>
 
           <div class="ml-1">
-            <RecommendedResourceCard
-              v-for="recommendation in recommendations"
-              :key="recommendation.id"
-              :to="{}"
-              :title="recommendation.title"
-              :description="recommendation.description"
-              :headingLevel="2"
-            />
+            <KCardGrid layout="1-1-1">
+              <RecommendedResourceCard
+                v-for="recommendation in recommendations"
+                :key="recommendation.id"
+                :to="{}"
+                :title="recommendation.title"
+                :description="recommendation.description"
+                :headingLevel="2"
+              />
+            </KCardGrid>
           </div>
         </KGridItem>
       </KGrid>

From 93b8ef3f49d23ee694cbe742ef15eb9687658ca8 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Thu, 31 Oct 2024 17:55:14 +0300
Subject: [PATCH 14/41] Adds preliminary logic to load recommendations

---
 .../components/RecommendedResourceCard.vue    | 59 ++++++++++-----
 .../SearchOrBrowseWindow.vue                  | 53 ++++++++++----
 package.json                                  |  2 +-
 yarn.lock                                     | 73 ++++++++++---------
 4 files changed, 120 insertions(+), 67 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index e3215eb115..02c79091c5 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -2,27 +2,36 @@
 
   <KCard
     :to="to"
-    :title="title"
+    :title="node.title"
     layout="horizontal"
-    :headingLevel="headingLevel"
+    :headingLevel="2"
     thumbnailScaleType="contain"
     thumbnailDisplay="small"
     thumbnailAlign="right"
-    :thumbnailSrc="thumbnailSrc"
+    :thumbnailSrc="node.thumbnail"
   >
     <template #select>
-      <KCheckbox />
+      <Checkbox
+        :key="`checkbox-${node.id}`"
+        :inputValue="isSelected(node)"
+        @input="toggleSelected(node)"
+      />
     </template>
     <template #aboveTitle>
       <span>
-        <KIcon icon="practiceSolid" />
-        <span>Practice</span>
+        <ContentNodeLearningActivityIcon
+          :learningActivities="{ 'wA01urpi': true }"
+          showEachActivityIcon
+          includeText
+          small
+          class="inline"
+        />
       </span>
     </template>
     <template #belowTitle>
       <div>
         <KTextTruncator
-          :text="description"
+          :text="node.description"
           :maxLines="2"
         />
       </div>
@@ -40,28 +49,40 @@
 
 <script>
 
+  import find from 'lodash/find';
+  import Checkbox from 'shared/views/form/Checkbox';
+  import ContentNodeLearningActivityIcon from 'shared/views/ContentNodeLearningActivityIcon';
+
   export default {
     name: 'RecommendedResourceCard',
+    components: {
+      Checkbox,
+      ContentNodeLearningActivityIcon,
+    },
     props: {
       to: {
         type: Object,
         required: true,
       },
-      title: {
-        type: String,
-        default: null,
-      },
-      description: {
-        type: String,
-        default: null,
+      node: {
+        type: Object,
+        required: true,
       },
-      headingLevel: {
-        type: Number,
+      selected: {
+        type: Array,
         required: true,
       },
-      thumbnailSrc: {
-        type: String,
-        default: null,
+    },
+    computed: {
+      isSelected() {
+        return function(node) {
+          return Boolean(find(this.selected, { id: node.id }));
+        };
+      },
+    },
+    methods: {
+      toggleSelected(node) {
+        this.$emit('change_selected', { nodes: [node], isSelected: !this.isSelected(node) });
       },
     },
   };
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index a090d756c1..7298e49906 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -108,9 +108,9 @@
                 v-for="recommendation in recommendations"
                 :key="recommendation.id"
                 :to="{}"
-                :title="recommendation.title"
-                :description="recommendation.description"
-                :headingLevel="2"
+                :node="recommendation"
+                :selected.sync="selected"
+                @change_selected="handleChangeSelected"
               />
             </KCardGrid>
           </div>
@@ -151,7 +151,6 @@
   import ImportFromChannelsModal from './ImportFromChannelsModal';
   import { withChangeTracker } from 'shared/data/changes';
   import { searchRecommendationsStrings } from 'shared/strings/searchRecommendationsStrings';
-  import client from 'shared/client';
 
   export default {
     name: 'SearchOrBrowseWindow',
@@ -244,10 +243,16 @@
     },
     mounted() {
       this.searchTerm = this.$route.params.searchTerm || '';
-      this.loadSamplePublicContentNode();
+
+      this.loadRecommendations().then(recommendations => {
+        this.loadRecommendedNodes(recommendations).then(nodes => {
+          this.recommendations = [...this.recommendations, ...nodes.filter(Boolean)];
+        });
+      });
     },
     methods: {
       ...mapActions('clipboard', ['copy']),
+      ...mapActions('contentNode', ['loadPublicContentNode']),
       ...mapMutations('importFromChannels', {
         selectNodes: 'SELECT_NODES',
         deselectNodes: 'DESELECT_NODES',
@@ -311,14 +316,36 @@
       closeAboutRecommendations() {
         this.showAboutRecommendations = false;
       },
-      loadSamplePublicContentNode() {
-        client
-          .get(
-            'https://studio.learningequality.org/api/public/v2/contentnode/cd99a903a0a24483ac933402bb452f54/'
-          )
-          .then(response => {
-            this.recommendations = Array(4).fill(response.data);
-          });
+      async loadRecommendedNodes(recommendations) {
+        return await Promise.all(
+          recommendations.map(async recommendation => {
+            // This call is cached, so we don't need to worry about multiple calls.
+            return await this.loadPublicContentNode({
+              id: recommendation.id,
+              nodeId: recommendation.node_id,
+              rootId: recommendation.main_tree_id,
+              parent: recommendation.parent_id,
+            }).catch(() => null);
+          })
+        ).then(nodes => nodes.filter(Boolean));
+      },
+      loadRecommendations() {
+        // This is a placeholder for the actual recommendation logic that interacts with
+        // the recommender models based on current context. For now, we just load some random nodes.
+        return Promise.resolve([
+          {
+            id: 'b1c252c8faf64500bbb44fcb2162cced',
+            node_id: '3bd78ad83c064b0c8585e603d7ca4c06',
+            main_tree_id: 'e98098ce958840f98db61bae6e4781fe',
+            parent_id: '86ea7baa33f44c5da49c638934f7081d',
+          },
+          {
+            id: '74af5a51ceb4435f9ea973603c17359e',
+            node_id: 'ab01552b7a5f40cc96121c99a5d99a4f',
+            main_tree_id: 'e98098ce958840f98db61bae6e4781fe',
+            parent_id: '86ea7baa33f44c5da49c638934f7081d',
+          },
+        ]);
       },
     },
     $trs: {
diff --git a/package.json b/package.json
index f7985036de..892e13e1f3 100644
--- a/package.json
+++ b/package.json
@@ -74,7 +74,7 @@
     "jspdf": "https://github.com/parallax/jsPDF.git#b7a1d8239c596292ce86dafa77f05987bcfa2e6e",
     "jszip": "^3.10.1",
     "kolibri-constants": "^0.2.0",
-    "kolibri-design-system": "^5.0.0-rc6",
+    "kolibri-design-system": "5.0.0-rc7",
     "lodash": "^4.17.21",
     "material-icons": "0.3.1",
     "mutex-js": "^1.1.5",
diff --git a/yarn.lock b/yarn.lock
index e1d47c3e04..af9b451e8a 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -4647,7 +4647,7 @@ collection-visit@^1.0.0:
     map-visit "^1.0.0"
     object-visit "^1.0.0"
 
-color-convert@^1.9.0:
+color-convert@^1.9.0, color-convert@^1.9.3:
   version "1.9.3"
   resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-1.9.3.tgz#bb71850690e1f136567de629d2d5471deda4c1e8"
   integrity sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==
@@ -4666,16 +4666,32 @@ color-name@1.1.3:
   resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.3.tgz#a7d0558bd89c42f795dd42328f740831ca53bc25"
   integrity sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==
 
-color-name@~1.1.4:
+color-name@^1.0.0, color-name@~1.1.4:
   version "1.1.4"
   resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
   integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
 
+color-string@^1.6.0:
+  version "1.9.1"
+  resolved "https://registry.yarnpkg.com/color-string/-/color-string-1.9.1.tgz#4467f9146f036f855b764dfb5bf8582bf342c7a4"
+  integrity sha512-shrVawQFojnZv6xM40anx4CkoDP+fZsw/ZerEMsW/pyzsRbElpsL/DBVW7q3ExxwusdNXI3lXpuhEZkzs8p5Eg==
+  dependencies:
+    color-name "^1.0.0"
+    simple-swizzle "^0.2.2"
+
 color-support@^1.1.3:
   version "1.1.3"
   resolved "https://registry.yarnpkg.com/color-support/-/color-support-1.1.3.tgz#93834379a1cc9a0c61f82f52f0d04322251bd5a2"
   integrity sha512-qiBjkpbMLO/HL68y+lh4q0/O1MZFj2RX6X/KmMa3+gJD3z+WwI1ZzDHysvqHGS3mP6mznPckpXmw1nI9cJjyRg==
 
+color@3.2.1:
+  version "3.2.1"
+  resolved "https://registry.yarnpkg.com/color/-/color-3.2.1.tgz#3544dc198caf4490c3ecc9a790b54fe9ff45e164"
+  integrity sha512-aBl7dZI9ENN6fUGC7mWpMTPNHmWUSNan9tuWN6ahh5ZLNk9baLJOnSMlrQkHcrfFgz2/RigjUVAjdx36VcemKA==
+  dependencies:
+    color-convert "^1.9.3"
+    color-string "^1.6.0"
+
 colord@^2.9.1, colord@^2.9.2:
   version "2.9.2"
   resolved "https://registry.yarnpkg.com/colord/-/colord-2.9.2.tgz#25e2bacbbaa65991422c07ea209e2089428effb1"
@@ -7751,6 +7767,11 @@ is-arrayish@^0.2.1:
   resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.2.1.tgz#77c99840527aa8ecb1a8ba697b80645a7a926a9d"
   integrity sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg==
 
+is-arrayish@^0.3.1:
+  version "0.3.2"
+  resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.3.2.tgz#4574a2ae56f7ab206896fb431eaeed066fdf8f03"
+  integrity sha512-eVRqCvVlZbuw3GrM63ovNSNAeA1K16kaR/LRY/92w0zxQ5/1YzwblUX652i4Xs9RwAGjW9d9y6X88t8OaAJfWQ==
+
 is-bigint@^1.0.1:
   version "1.0.4"
   resolved "https://registry.yarnpkg.com/is-bigint/-/is-bigint-1.0.4.tgz#08147a1875bc2b32005d41ccd8291dffc6691df3"
@@ -9374,14 +9395,15 @@ kolibri-constants@^0.2.0:
   resolved "https://registry.yarnpkg.com/kolibri-constants/-/kolibri-constants-0.2.5.tgz#2b9df4c477119d0ade2d66bf8aef8a4172f0418f"
   integrity sha512-ZoFZ83xgteZhFZtYjiOmITcZeSF+X42i12TOo87zmcdA78jj0dZbPYB+ttO855UxoKY8h4HHeDVZIUkE5TGa5g==
 
-kolibri-design-system@^4.2.0:
-  version "4.3.1"
-  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-4.3.1.tgz#09bb207e7507fc3c27f119054151485ffde67dd5"
-  integrity sha512-umMrqXorU3UzXQZ1ZAmUjYWB02phXcX0qmWwS+FAOPbOjUEjmB6pZ/lN5TjjeE3onZfasf+pjwb3xJx3F4Nn/A==
+kolibri-design-system@5.0.0-rc7:
+  version "5.0.0-rc7"
+  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc7.tgz#3a965b6a0ab9042f6e1ad754a6ebcdb5f1b89da6"
+  integrity sha512-30lp0aY7maWXX9nwVDTNM49ittwIQgSbViQNw9RS5DLEXLEyJc212pabIytEGidyxmhpVj4gUM/MdwyM606Mxg==
   dependencies:
     "@vue/composition-api" "1.7.2"
     aphrodite "https://github.com/learningequality/aphrodite/"
     autosize "3.0.21"
+    color "3.2.1"
     css-element-queries "1.2.0"
     date-fns "1.30.1"
     frame-throttle "3.0.0"
@@ -12319,6 +12341,13 @@ signal-exit@^4.0.1:
   resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.0.1.tgz#96a61033896120ec9335d96851d902cc98f0ba2a"
   integrity sha512-uUWsN4aOxJAS8KOuf3QMyFtgm1pkb6I+KRZbRF/ghdf5T7sM+B1lLLzPDxswUjkmHyxQAVzEgG35E3NzDM9GVw==
 
+simple-swizzle@^0.2.2:
+  version "0.2.2"
+  resolved "https://registry.yarnpkg.com/simple-swizzle/-/simple-swizzle-0.2.2.tgz#a4da6b635ffcccca33f70d17cb92592de95e557a"
+  integrity sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg==
+  dependencies:
+    is-arrayish "^0.3.1"
+
 sisteransi@^1.0.5:
   version "1.0.5"
   resolved "https://registry.yarnpkg.com/sisteransi/-/sisteransi-1.0.5.tgz#134d681297756437cc05ca01370d3a7a571075ed"
@@ -12692,16 +12721,7 @@ string-trim-spaces-only@^3.1.0:
   dependencies:
     "@babel/runtime" "^7.14.0"
 
-"string-width-cjs@npm:string-width@^4.2.0":
-  version "4.2.3"
-  resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
-  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
-  dependencies:
-    emoji-regex "^8.0.0"
-    is-fullwidth-code-point "^3.0.0"
-    strip-ansi "^6.0.1"
-
-"string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.3:
+"string-width-cjs@npm:string-width@^4.2.0", "string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.3:
   version "4.2.3"
   resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
   integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
@@ -12847,14 +12867,7 @@ stringify-object@^3.3.0:
     is-obj "^1.0.1"
     is-regexp "^1.0.0"
 
-"strip-ansi-cjs@npm:strip-ansi@^6.0.1":
-  version "6.0.1"
-  resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
-  integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
-  dependencies:
-    ansi-regex "^5.0.1"
-
-strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1:
+"strip-ansi-cjs@npm:strip-ansi@^6.0.1", strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1:
   version "6.0.1"
   resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
   integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
@@ -14560,7 +14573,8 @@ workbox-window@7.0.0, workbox-window@^7.0.0:
     "@types/trusted-types" "^2.0.2"
     workbox-core "7.0.0"
 
-"wrap-ansi-cjs@npm:wrap-ansi@^7.0.0":
+"wrap-ansi-cjs@npm:wrap-ansi@^7.0.0", wrap-ansi@^7.0.0:
+  name wrap-ansi-cjs
   version "7.0.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
   integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
@@ -14578,15 +14592,6 @@ wrap-ansi@^6.2.0:
     string-width "^4.1.0"
     strip-ansi "^6.0.0"
 
-wrap-ansi@^7.0.0:
-  version "7.0.0"
-  resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
-  integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
-  dependencies:
-    ansi-styles "^4.0.0"
-    string-width "^4.1.0"
-    strip-ansi "^6.0.0"
-
 wrap-ansi@^8.1.0:
   version "8.1.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-8.1.0.tgz#56dc22368ee570face1b49819975d9b9a5ead214"

From 8e200d5dcaaf4d41a9534f37a49ea98848b6cef9 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Fri, 1 Nov 2024 01:34:05 +0300
Subject: [PATCH 15/41] fixes bug in translateMetadataString

---
 contentcuration/contentcuration/frontend/shared/mixins.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/shared/mixins.js b/contentcuration/contentcuration/frontend/shared/mixins.js
index 01095f6df2..b6f1aaf065 100644
--- a/contentcuration/contentcuration/frontend/shared/mixins.js
+++ b/contentcuration/contentcuration/frontend/shared/mixins.js
@@ -712,8 +712,8 @@ export const metadataTranslationMixin = {
       } else if (nonconformingKeys[camelKey]) {
         key = nonconformingKeys[camelKey];
       } else if (
-        !metadataStrings.defaultMessages[key] &&
-        metadataStrings.defaultMessages[camelKey]
+        !metadataStrings._defaultMessages[key] &&
+        metadataStrings._defaultMessages[camelKey]
       ) {
         key = camelKey;
       }

From dc298907884ab2786efb5d9f44e6e06c438dd01d Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 4 Nov 2024 08:13:00 +0300
Subject: [PATCH 16/41] Make minor tweaks to UI

---
 .../components/RecommendedResourceCard.vue    |  40 +-
 .../SearchOrBrowseWindow.vue                  |  32 +-
 .../views/ImportFromChannels/sampleData.js    | 619 ++++++++++++++++++
 yarn.lock                                     |   9 +-
 4 files changed, 666 insertions(+), 34 deletions(-)
 create mode 100644 contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 02c79091c5..a1eaf3369b 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -3,24 +3,25 @@
   <KCard
     :to="to"
     :title="node.title"
-    layout="horizontal"
     :headingLevel="2"
     thumbnailScaleType="contain"
     thumbnailDisplay="small"
     thumbnailAlign="right"
-    :thumbnailSrc="node.thumbnail"
+    :thumbnailSrc="node.thumbnail_src"
   >
     <template #select>
       <Checkbox
         :key="`checkbox-${node.id}`"
         :inputValue="isSelected(node)"
         @input="toggleSelected(node)"
-      />
+      >
+        <span class="visually-hidden">Select '{{ node.title }}'</span>
+      </Checkbox>
     </template>
     <template #aboveTitle>
       <span>
         <ContentNodeLearningActivityIcon
-          :learningActivities="{ 'wA01urpi': true }"
+          :learningActivities="node.learning_activities"
           showEachActivityIcon
           includeText
           small
@@ -31,16 +32,18 @@
     <template #belowTitle>
       <div>
         <KTextTruncator
-          :text="node.description"
+          :text="node.original_channel_name"
           :maxLines="2"
         />
       </div>
     </template>
     <template #footer>
-      <div class="align-right-style">
-        <KIconButton icon="openNewTab" class="card-icon-size" />
-        <KIconButton icon="thumbDown" class="card-icon-size" />
-      </div>
+      <KFixedGrid :numCols="1">
+        <KFixedGridItem alignment="right">
+          <KIconButton icon="openNewTab" />
+          <KIconButton icon="thumbDown" />
+        </KFixedGridItem>
+      </KFixedGrid>
     </template>
   </KCard>
 
@@ -91,9 +94,20 @@
 
 
 <style>
-  .align-right-style{
-      display: flex;
-      justify-content: flex-end;
-      padding-top: 8px;
+  .visually-hidden{
+    position: absolute;
+    width: 1px;
+    height: 1px;
+    margin: -1px;
+    border: 0;
+    padding: 0;
+
+    white-space: nowrap;
+    clip-path: inset(100%);
+    clip: rect(0 0 0 0);
+    overflow: hidden;
+
+    outline: 0;
+    outline-offset: 0;
   }
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 7298e49906..c59ce8cfb0 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -149,6 +149,7 @@
   import SearchResultsList from './SearchResultsList';
   import SavedSearchesModal from './SavedSearchesModal';
   import ImportFromChannelsModal from './ImportFromChannelsModal';
+  import contentNodes from './sampleData';
   import { withChangeTracker } from 'shared/data/changes';
   import { searchRecommendationsStrings } from 'shared/strings/searchRecommendationsStrings';
 
@@ -183,7 +184,6 @@
         resourcesMightBeRelevantTitle$,
         aboutRecommendationsDescription$,
         aboutRecommendationsFeedbackDescription$,
-
         layoutFitsTwoColumns,
       };
     },
@@ -325,27 +325,27 @@
               nodeId: recommendation.node_id,
               rootId: recommendation.main_tree_id,
               parent: recommendation.parent_id,
-            }).catch(() => null);
+            }).catch(() => {
+              // This is a temporary workaround to return static data from our public API. We should
+              // remove this once the recommendations API is ready and return null instead.
+              return contentNodes.find(node => node.node_id === recommendation.node_id);
+            });
           })
         ).then(nodes => nodes.filter(Boolean));
       },
       loadRecommendations() {
         // This is a placeholder for the actual recommendation logic that interacts with
         // the recommender models based on current context. For now, we just load some random nodes.
-        return Promise.resolve([
-          {
-            id: 'b1c252c8faf64500bbb44fcb2162cced',
-            node_id: '3bd78ad83c064b0c8585e603d7ca4c06',
-            main_tree_id: 'e98098ce958840f98db61bae6e4781fe',
-            parent_id: '86ea7baa33f44c5da49c638934f7081d',
-          },
-          {
-            id: '74af5a51ceb4435f9ea973603c17359e',
-            node_id: 'ab01552b7a5f40cc96121c99a5d99a4f',
-            main_tree_id: 'e98098ce958840f98db61bae6e4781fe',
-            parent_id: '86ea7baa33f44c5da49c638934f7081d',
-          },
-        ]);
+        return Promise.resolve(
+          contentNodes.map(recommendation => {
+            return {
+              id: recommendation.id,
+              node_id: recommendation.node_id,
+              main_tree_id: recommendation.root_id,
+              parent_id: recommendation.parent,
+            };
+          })
+        );
       },
     },
     $trs: {
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js
new file mode 100644
index 0000000000..21a82e7ba2
--- /dev/null
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js
@@ -0,0 +1,619 @@
+const contentNodes = [
+  {
+    id: 'e95c21b048b44760955a2125665d3499',
+    content_id: '0e296144fab75efdb7d187e7a5b89ffd',
+    title: 'Preface',
+    description:
+      'This book is a guide for students taking the AP Calculus AB and AP Calculus BC exams. It is written by Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather, and Paul A. Zorn. The book is published by OpenStax College, a nonprofit organization committed to improving student access to quality learning materials.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
+    node_id: '2e539ad7f8ea5efcb9aa0c895817ccd4',
+    original_source_node_id: '2e539ad7f8ea5efcb9aa0c895817ccd4',
+    original_channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    original_node_id: 'e95c21b048b44760955a2125665d3499',
+    thumbnail_encoding:
+      '{"base64": 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", 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+    published: true,
+    modified: '2020-12-12T02:03:59.071820Z',
+    complete: true,
+    changed: false,
+    lft: 267,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: '3e21e2a2858442298f81797ed13eac2d',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+  {
+    id: '3abe6069475b4822bebba93c385d6926',
+    content_id: '7b3b1ce9be2a502f91736bf01ec4cd99',
+    title: 'Chapter 1. Functions and Graphs',
+    description:
+      'This chapter covers functions and graphs, and they can be used to model real-world situations.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
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", 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+    published: true,
+    modified: '2020-12-12T02:03:59.270245Z',
+    complete: true,
+    changed: false,
+    lft: 269,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: '3e21e2a2858442298f81797ed13eac2d',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+  },
+  {
+    id: '6f76dbea350642bf94b61038a39fe424',
+    content_id: 'ed07eed2729654e7b1445d9fb22f95e9',
+    title: 'Chapter 2. Limits',
+    description:
+      'This chapter covers the concept of limits and how they are used to define the derivative.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
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", 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+    published: true,
+    modified: '2020-12-12T02:03:59.490234Z',
+    complete: true,
+    changed: false,
+    lft: 271,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: '3e21e2a2858442298f81797ed13eac2d',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+  },
+  {
+    id: '11480c8dd5ef4f44ad2926a831513495',
+    content_id: '5443ab9991f957b99f8ef8dc97f9ffdb',
+    title: 'Chapter 3. Derivatives',
+    description:
+      'This chapter covers the concept of derivatives, including the definition of the derivative, the derivative as a function, and the derivative of a sum, product, and quotient.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
+    node_id: '2923761694255614a693bc374ffb54e6',
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", 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+    published: true,
+    modified: '2020-12-12T02:03:59.683557Z',
+    complete: true,
+    changed: false,
+    lft: 273,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: '3e21e2a2858442298f81797ed13eac2d',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+    id: 'f3745d00dac74787881686a8f1b2e3d8',
+    content_id: '8ac13003e80c5199aa0d4091b87873e3',
+    title: 'Chapter 4. Applications of Derivatives',
+    description:
+      'This chapter covers applications of derivatives, including curve sketching, optimization, and related rates.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
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", 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+    published: true,
+    modified: '2020-12-12T02:03:59.899011Z',
+    complete: true,
+    changed: false,
+    lft: 275,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: '3e21e2a2858442298f81797ed13eac2d',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+  {
+    id: '3374490d03cf4129a2631d99b55eedd3',
+    content_id: '5365445b369354a0a06d33ba1f8dea1e',
+    title: 'Chapter 5. Integration',
+    description:
+      'This chapter covers integration, including the fundamental theorem of calculus and techniques of integration.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
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", 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+    published: true,
+    modified: '2020-12-12T02:04:00.111614Z',
+    complete: true,
+    changed: false,
+    lft: 277,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: '3e21e2a2858442298f81797ed13eac2d',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+  {
+    id: '99f83cc6440045ec9f190f4ba9fc289c',
+    content_id: 'bdb762c69a90519eb001aab3b9047989',
+    title: 'Chapter 6. Applications of Integration',
+    description:
+      'This chapter covers applications of the integral, including areas between curves, volumes of solids of revolution, and work.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
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", 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+    published: true,
+    modified: '2020-12-12T02:04:00.374352Z',
+    complete: true,
+    changed: false,
+    lft: 279,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: 'd716944077dc4285a0af6267ec72e920',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+    id: '0f135c426fec43bd9c23f2ce1a5dba75',
+    content_id: 'b54ffd45b8925a0b8bc8cab6173b8a76',
+    title: 'Appendix A. Table of Integrals*',
+    description:
+      'This appendix contains a table of integrals that are useful in the study of calculus.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
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", 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+    published: true,
+    modified: '2020-12-12T02:04:00.598134Z',
+    complete: true,
+    changed: false,
+    lft: 281,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: 'd716944077dc4285a0af6267ec72e920',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+    parent: '3e21e2a2858442298f81797ed13eac2d',
+  },
+  {
+    id: '045bfdceee474d00a3f9de38c892afea',
+    content_id: 'fada0100b6f354bf8d62032a39861fa8',
+    title: 'Appendix B. Table of Derivatives*',
+    description:
+      'This is a summary of the rules for finding derivatives. It is a companion to the table of integrals in Appendix C.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
+    node_id: '26cd40a6b2065eb9a827c6356a08a476',
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", 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+    published: true,
+    modified: '2020-12-12T02:04:00.809491Z',
+    complete: true,
+    changed: false,
+    lft: 283,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: 'd716944077dc4285a0af6267ec72e920',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+    parent: '3e21e2a2858442298f81797ed13eac2d',
+  },
+  {
+    id: 'cd00af41beb9412bba19829e19fbc7b4',
+    content_id: 'edb091e636f85f5c9b25327bc9f8ab4d',
+    title: 'Appendix C. Review of Pre-Calculus*',
+    description:
+      'This appendix is a review of the pre-calculus topics that are important for the study of calculus. The appendix is organized into sections that correspond to the chapters of the text. Each section contains a review of the concept, a self-test for each chapter, and a set of practice problems.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
+    node_id: 'db3e8f9adaba5879920222b8a35b9e9a',
+    original_source_node_id: 'db3e8f9adaba5879920222b8a35b9e9a',
+    original_channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    original_node_id: 'cd00af41beb9412bba19829e19fbc7b4',
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", 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+    published: true,
+    modified: '2020-12-12T02:04:01.005884Z',
+    complete: true,
+    changed: false,
+    lft: 285,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: 'd716944077dc4285a0af6267ec72e920',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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+  },
+  {
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+    content_id: '2b0ee9e0333b5b14a2b97d1b7b0bbdf9',
+    title: 'Solutions',
+    description: 'This is a collection of solutions to the exercises in the book.',
+    author:
+      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
+    provider: '',
+    aggregator: '',
+    role_visibility: 'learner',
+    license_description: null,
+    copyright_holder: 'Rice University',
+    extra_fields: {},
+    node_id: 'fbbbfa14f8415c79906433041880e28f',
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+    original_node_id: 'f831fe28cf614b70af5d0316a6e511c5',
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", 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+    published: true,
+    modified: '2020-12-12T02:04:01.233478Z',
+    complete: true,
+    changed: false,
+    lft: 287,
+    grade_levels: {},
+    resource_types: {},
+    learning_activities: {
+      wA01urpi: true,
+    },
+    accessibility_labels: {},
+    categories: {},
+    learner_needs: {},
+    suggested_duration: null,
+    channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
+    total_count: 0,
+    resource_count: 0,
+    coach_count: 0,
+    assessment_item_count: 0,
+    error_count: 0,
+    has_updated_descendants: false,
+    has_new_descendants: false,
+    thumbnail_checksum: '51c37ae3623569b58b5fe97e7c19b425',
+    thumbnail_extension: 'png',
+    original_channel_name: 'Open Stax',
+    original_parent_id: 'd716944077dc4285a0af6267ec72e920',
+    has_children: false,
+    root_id: '761ef818ddde457a9be8b84eb8744ba5',
+    language: null,
+    license: 5,
+    tags: {},
+    kind: 'document',
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',
+    parent: '3e21e2a2858442298f81797ed13eac2d',
+  },
+];
+
+export default contentNodes;
diff --git a/yarn.lock b/yarn.lock
index 2d01363723..8b665a8546 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -3494,18 +3494,17 @@ anymatch@^3.0.3, anymatch@~3.1.2:
     normalize-path "^3.0.0"
     picomatch "^2.0.4"
 
-"aphrodite@https://github.com/learningequality/aphrodite.git":
+"aphrodite@git+https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "git+https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
     string-hash "^1.1.3"
 
-"aphrodite@https://github.com/learningequality/aphrodite/":
+"aphrodite@https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  uid fdc8d7be8912a5cf17f74ff10f124013c52c3e32
-  resolved "https://github.com/learningequality/aphrodite/#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"

From 7009c1069947fb024886236662e0e6bfd343c845 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Wed, 13 Nov 2024 15:20:04 +0300
Subject: [PATCH 17/41] updates kds version

---
 package.json |  2 +-
 yarn.lock    | 18 +++++++++---------
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/package.json b/package.json
index b9d648e18a..6e5919ac81 100644
--- a/package.json
+++ b/package.json
@@ -74,7 +74,7 @@
     "jspdf": "https://github.com/parallax/jsPDF.git#b7a1d8239c596292ce86dafa77f05987bcfa2e6e",
     "jszip": "^3.10.1",
     "kolibri-constants": "^0.2.0",
-    "kolibri-design-system": "5.0.0-rc7",
+    "kolibri-design-system": "5.0.0-rc9",
     "lodash": "^4.17.21",
     "material-icons": "0.3.1",
     "mutex-js": "^1.1.5",
diff --git a/yarn.lock b/yarn.lock
index 8b665a8546..42e4dbd10a 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -9399,10 +9399,10 @@ kolibri-constants@^0.2.0:
   resolved "https://registry.yarnpkg.com/kolibri-constants/-/kolibri-constants-0.2.5.tgz#2b9df4c477119d0ade2d66bf8aef8a4172f0418f"
   integrity sha512-ZoFZ83xgteZhFZtYjiOmITcZeSF+X42i12TOo87zmcdA78jj0dZbPYB+ttO855UxoKY8h4HHeDVZIUkE5TGa5g==
 
-kolibri-design-system@5.0.0-rc7:
-  version "5.0.0-rc7"
-  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc7.tgz#3a965b6a0ab9042f6e1ad754a6ebcdb5f1b89da6"
-  integrity sha512-30lp0aY7maWXX9nwVDTNM49ittwIQgSbViQNw9RS5DLEXLEyJc212pabIytEGidyxmhpVj4gUM/MdwyM606Mxg==
+kolibri-design-system@5.0.0-rc9:
+  version "5.0.0-rc9"
+  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc9.tgz#ee17c0bc230f4f8406e60b3b342de70987180893"
+  integrity sha512-KerRkQY9C98A+R1mPM+umzsA/bupDjNI/p0d54K6/CDPHueX6vuO2xWkH4/5wMzbO9dv1UkiMJ9hm3XxD7/Lmw==
   dependencies:
     "@vue/composition-api" "1.7.2"
     aphrodite "https://github.com/learningequality/aphrodite/"
@@ -9415,7 +9415,7 @@ kolibri-design-system@5.0.0-rc7:
     lodash "4.17.21"
     popper.js "1.16.1"
     purecss "2.2.0"
-    tippy.js "4.2.1"
+    tippy.js "4.3.5"
     vue-intl "3.1.0"
     vue2-teleport "1.1.4"
     xstate "4.38.3"
@@ -13369,10 +13369,10 @@ tinycolor2@^1.4.1:
   resolved "https://registry.yarnpkg.com/tinycolor2/-/tinycolor2-1.4.2.tgz#3f6a4d1071ad07676d7fa472e1fac40a719d8803"
   integrity sha512-vJhccZPs965sV/L2sU4oRQVAos0pQXwsvTLkWYdqJ+a8Q5kPFzJTuOFwy7UniPli44NKQGAglksjvOcpo95aZA==
 
-tippy.js@4.2.1:
-  version "4.2.1"
-  resolved "https://registry.yarnpkg.com/tippy.js/-/tippy.js-4.2.1.tgz#9e4939d976465f77229b05a3cb233b5dc28cf850"
-  integrity sha512-xEE7zYNgQxCDdPcuT6T04f0frPh0wO7CcIqJKMFazU/NqusyjCgYSkLRosIHoiRkZMRzSPOudC8wRN5GjvAyOQ==
+tippy.js@4.3.5:
+  version "4.3.5"
+  resolved "https://registry.yarnpkg.com/tippy.js/-/tippy.js-4.3.5.tgz#882bff8d92f09bb0546d2826d5668c0560006f54"
+  integrity sha512-NDq3efte8nGK6BOJ1dDN1/WelAwfmh3UtIYXXck6+SxLzbIQNZE/cmRSnwScZ/FyiKdIcvFHvYUgqmoGx8CcyA==
   dependencies:
     popper.js "^1.14.7"
 

From 30d397fed62f07e7d11198450d1b1756c715a048 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Wed, 27 Nov 2024 14:38:56 +0300
Subject: [PATCH 18/41] Adds pagination logic

---
 .../components/RecommendedResourceCard.vue    |  33 +-
 .../SearchOrBrowseWindow.vue                  | 217 +++++-
 .../views/ImportFromChannels/sampleData.js    | 620 +-----------------
 .../frontend/shared/styles/vuetify.scss       |   2 +-
 package.json                                  |   2 +-
 yarn.lock                                     |   8 +-
 6 files changed, 215 insertions(+), 667 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index a1eaf3369b..830304ac38 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -1,13 +1,13 @@
 <template>
 
   <KCard
-    :to="to"
     :title="node.title"
     :headingLevel="2"
     thumbnailScaleType="contain"
     thumbnailDisplay="small"
     thumbnailAlign="right"
     :thumbnailSrc="node.thumbnail_src"
+    @click="onClick"
   >
     <template #select>
       <Checkbox
@@ -19,15 +19,12 @@
       </Checkbox>
     </template>
     <template #aboveTitle>
-      <span>
-        <ContentNodeLearningActivityIcon
-          :learningActivities="node.learning_activities"
-          showEachActivityIcon
-          includeText
-          small
-          class="inline"
-        />
-      </span>
+      <ContentNodeLearningActivityIcon
+        :learningActivities="learningActivities"
+        showEachActivityIcon
+        includeText
+        small
+      />
     </template>
     <template #belowTitle>
       <div>
@@ -38,7 +35,7 @@
       </div>
     </template>
     <template #footer>
-      <KFixedGrid :numCols="1">
+      <KFixedGrid :numCols="2">
         <KFixedGridItem alignment="right">
           <KIconButton icon="openNewTab" />
           <KIconButton icon="thumbDown" />
@@ -53,6 +50,8 @@
 <script>
 
   import find from 'lodash/find';
+  import LearningActivities from 'kolibri-constants/labels/LearningActivities';
+  import { ContentKindLearningActivityDefaults } from 'shared/leUtils/ContentKinds';
   import Checkbox from 'shared/views/form/Checkbox';
   import ContentNodeLearningActivityIcon from 'shared/views/ContentNodeLearningActivityIcon';
 
@@ -63,10 +62,6 @@
       ContentNodeLearningActivityIcon,
     },
     props: {
-      to: {
-        type: Object,
-        required: true,
-      },
       node: {
         type: Object,
         required: true,
@@ -77,6 +72,11 @@
       },
     },
     computed: {
+      learningActivities() {
+        return {
+          [ContentKindLearningActivityDefaults[this.node.kind] || LearningActivities.EXPLORE]: true,
+        };
+      },
       isSelected() {
         return function(node) {
           return Boolean(find(this.selected, { id: node.id }));
@@ -87,6 +87,9 @@
       toggleSelected(node) {
         this.$emit('change_selected', { nodes: [node], isSelected: !this.isSelected(node) });
       },
+      onClick() {
+        this.$emit('preview', this.node);
+      },
     },
   };
 
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index c59ce8cfb0..a825a165a2 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -105,15 +105,40 @@
           <div class="ml-1">
             <KCardGrid layout="1-1-1">
               <RecommendedResourceCard
-                v-for="recommendation in recommendations"
+                v-for="recommendation in displayedRecommendations"
                 :key="recommendation.id"
-                :to="{}"
                 :node="recommendation"
                 :selected.sync="selected"
                 @change_selected="handleChangeSelected"
+                @preview="preview($event)"
               />
             </KCardGrid>
           </div>
+          <div v-if="recommendationsLoading" class="recommendations-loader">
+            <KCircularLoader :shouldShow="recommendationsLoading" />
+          </div>
+          <div v-else-if="!recommendationsLoading">
+            <p v-if="loadMoreRecommendationsText.description" class="pb-0 pt-4 px-2">
+              {{ loadMoreRecommendationsText.description }}
+            </p>
+            <div v-if="loadMoreRecommendationsText.link" class="my-3 px-2">
+              <ActionLink
+                :text="loadMoreRecommendationsText.link"
+                @click="handleViewMoreRecommendations"
+              />
+            </div>
+          </div>
+          <div v-else-if="recommendationsLoadingError">
+            <p class="pb-0 pt-4 px-2">
+              {{ tryAgainLink$() }}
+            </p>
+            <div class="my-3 px-2">
+              <ActionLink
+                :text="problemShowingResourcesMessage$()"
+                @click="handleViewMoreRecommendations"
+              />
+            </div>
+          </div>
         </KGridItem>
       </KGrid>
       <SavedSearchesModal v-model="showSavedSearches" />
@@ -149,8 +174,9 @@
   import SearchResultsList from './SearchResultsList';
   import SavedSearchesModal from './SavedSearchesModal';
   import ImportFromChannelsModal from './ImportFromChannelsModal';
-  import contentNodes from './sampleData';
+  import { thumbnail } from './sampleData';
   import { withChangeTracker } from 'shared/data/changes';
+  import { ContentKindsNames } from 'shared/leUtils/ContentKinds';
   import { searchRecommendationsStrings } from 'shared/strings/searchRecommendationsStrings';
 
   export default {
@@ -168,8 +194,15 @@
 
       const {
         closeAction$,
+        tryAgainLink$,
+        viewMoreLink$,
+        noDirectMatchesMessage$,
+        showOtherResourcesLink$,
         aboutRecommendationsText$,
+        showOtherResourcesMessage$,
+        showOtherRecommendationsLink$,
         resourcesMightBeRelevantTitle$,
+        problemShowingResourcesMessage$,
         aboutRecommendationsDescription$,
         aboutRecommendationsFeedbackDescription$,
       } = searchRecommendationsStrings;
@@ -180,8 +213,15 @@
 
       return {
         closeAction$,
+        tryAgainLink$,
+        viewMoreLink$,
+        noDirectMatchesMessage$,
+        showOtherResourcesLink$,
         aboutRecommendationsText$,
+        showOtherResourcesMessage$,
+        showOtherRecommendationsLink$,
         resourcesMightBeRelevantTitle$,
+        problemShowingResourcesMessage$,
         aboutRecommendationsDescription$,
         aboutRecommendationsFeedbackDescription$,
         layoutFitsTwoColumns,
@@ -196,11 +236,19 @@
         showSavedSearches: false,
         showAboutRecommendations: false,
         recommendations: [],
+        otherRecommendations: [],
+        displayedRecommendations: [],
+        recommendationsLoading: false,
+        recommendationsLoadingError: false,
+        recommendationsPageSize: 2,
+        recommendationsCurrentIndex: 0,
+        recommendationsBelowThreshold: false,
       };
     },
     computed: {
       ...mapGetters('importFromChannels', ['savedSearchesExist']),
       ...mapState('importFromChannels', ['selected']),
+      ...mapState('currentChannel', ['currentChannelId']),
       isBrowsing() {
         return this.$route.name === RouteNames.IMPORT_FROM_CHANNELS_BROWSE;
       },
@@ -222,6 +270,41 @@
           this.searchTerm.trim() !== this.$route.params.searchTerm
         );
       },
+      loadMoreRecommendationsText() {
+        let link = null;
+        let description = null;
+
+        if (this.showNoDirectMatches) {
+          link = this.showOtherRecommendationsLink$();
+          description = this.noDirectMatchesMessage$();
+        } else if (this.showViewMoreRecommendations) {
+          link = this.viewMoreLink$();
+          description = null;
+        } else if (!this.recommendationsBelowThreshold || this.showShowOtherResources2) {
+          link = this.showOtherResourcesLink$();
+          description = this.showOtherResourcesMessage$();
+        }
+
+        return {
+          link,
+          description,
+        };
+      },
+      showNoDirectMatches() {
+        return this.recommendations.length === 0 && !this.recommendationsBelowThreshold;
+      },
+      showViewMoreRecommendations() {
+        return this.recommendationsCurrentIndex < this.recommendations.length;
+      },
+      showShowOtherResources() {
+        const currentIndex = this.recommendationsCurrentIndex;
+        const totalCount = this.recommendations.length + this.otherRecommendations.length;
+        return currentIndex >= totalCount;
+      },
+      showShowOtherResources2() {
+        const currentIndex = this.recommendationsCurrentIndex;
+        return this.otherRecommendations.length > currentIndex - this.recommendations.length;
+      },
     },
     beforeRouteEnter(to, from, next) {
       next(vm => {
@@ -243,16 +326,12 @@
     },
     mounted() {
       this.searchTerm = this.$route.params.searchTerm || '';
-
-      this.loadRecommendations().then(recommendations => {
-        this.loadRecommendedNodes(recommendations).then(nodes => {
-          this.recommendations = [...this.recommendations, ...nodes.filter(Boolean)];
-        });
-      });
+      this.loadRecommendations();
     },
     methods: {
       ...mapActions('clipboard', ['copy']),
       ...mapActions('contentNode', ['loadPublicContentNode']),
+      ...mapActions('importFromChannels', ['fetchResourceSearchResults']),
       ...mapMutations('importFromChannels', {
         selectNodes: 'SELECT_NODES',
         deselectNodes: 'DESELECT_NODES',
@@ -316,7 +395,93 @@
       closeAboutRecommendations() {
         this.showAboutRecommendations = false;
       },
-      async loadRecommendedNodes(recommendations) {
+      handleViewMoreRecommendations() {
+        const pageSize = this.recommendationsPageSize;
+        const currentIndex = this.recommendationsCurrentIndex;
+        if (this.showNoDirectMatches) {
+          this.loadRecommendations(true);
+        } else if (this.showViewMoreRecommendations) {
+          const nextIndex = currentIndex + pageSize;
+          this.displayedRecommendations = this.recommendations.slice(0, nextIndex);
+          this.recommendationsCurrentIndex = nextIndex;
+        } else if (!this.recommendationsBelowThreshold || this.showShowOtherResources) {
+          this.loadRecommendations(true);
+        } else {
+          const tempIndex = currentIndex + pageSize;
+          const totalCount = this.recommendations.length + this.otherRecommendations.length;
+          const nextIndex = tempIndex <= totalCount ? tempIndex : totalCount;
+          this.displayedRecommendations = this.recommendations.concat(
+            this.otherRecommendations.slice(0, nextIndex - this.recommendations.length)
+          );
+          this.recommendationsCurrentIndex = nextIndex;
+        }
+      },
+      async loadRecommendations(belowThreshold = false) {
+        this.recommendationsLoading = true;
+        this.recommendationsLoadingError = false;
+        try {
+          return this.fetchRecommendations(belowThreshold).then(async recommendations => {
+            return await this.fetchRecommendedNodes(recommendations).then(nodes => {
+              const recommendations = nodes.filter(Boolean);
+              const pageSize = this.recommendationsPageSize;
+
+              if (!belowThreshold) {
+                this.recommendations = recommendations;
+                this.displayedRecommendations = this.recommendations.slice(0, pageSize);
+                this.recommendationsCurrentIndex = pageSize;
+              } else if (recommendations.length) {
+                this.otherRecommendations.push(...recommendations);
+                this.displayedRecommendations = this.recommendations.concat(
+                  this.otherRecommendations.slice(
+                    0,
+                    this.recommendationsCurrentIndex + pageSize - this.recommendations.length
+                  )
+                );
+                this.recommendationsCurrentIndex += pageSize;
+              }
+              this.recommendationsBelowThreshold = belowThreshold;
+              this.recommendationsLoading = false;
+
+              return {
+                belowThreshold,
+                recommendations,
+              };
+            });
+          });
+        } catch (error) {
+          this.recommendationsLoading = false;
+          this.recommendationsLoadingError = true;
+
+          return {
+            error,
+            belowThreshold,
+            recommendations: [],
+          };
+        }
+      },
+      // eslint-disable-next-line no-unused-vars
+      async fetchRecommendations(belowThreshold) {
+        // This is a placeholder for the actual recommendation logic that interacts with
+        // the recommender models based on current context. For now, we just load all the
+        // first 25 public nodes for visual testing purposes.
+        return this.fetchResourceSearchResults({
+          page_size: 25,
+          exclude_channel: this.currentChannelId,
+        }).then(response => {
+          const resources = response.results.filter(resource => {
+            return resource.kind !== ContentKindsNames.TOPIC;
+          });
+          return resources.map(resource => {
+            return {
+              id: resource.id,
+              node_id: resource.node_id,
+              main_tree_id: resource.root_id,
+              parent_id: resource.parent,
+            };
+          });
+        });
+      },
+      async fetchRecommendedNodes(recommendations) {
         return await Promise.all(
           recommendations.map(async recommendation => {
             // This call is cached, so we don't need to worry about multiple calls.
@@ -325,28 +490,20 @@
               nodeId: recommendation.node_id,
               rootId: recommendation.main_tree_id,
               parent: recommendation.parent_id,
-            }).catch(() => {
-              // This is a temporary workaround to return static data from our public API. We should
-              // remove this once the recommendations API is ready and return null instead.
-              return contentNodes.find(node => node.node_id === recommendation.node_id);
+            }).then(node => {
+              // This is temporary and for visual testing purposes only.
+              // We need to get the channel name and thumbnail from the API.
+              return (
+                {
+                  ...node,
+                  original_channel_name: 'Sample Channel',
+                  thumbnail_src: thumbnail[0],
+                } || null
+              );
             });
           })
         ).then(nodes => nodes.filter(Boolean));
       },
-      loadRecommendations() {
-        // This is a placeholder for the actual recommendation logic that interacts with
-        // the recommender models based on current context. For now, we just load some random nodes.
-        return Promise.resolve(
-          contentNodes.map(recommendation => {
-            return {
-              id: recommendation.id,
-              node_id: recommendation.node_id,
-              main_tree_id: recommendation.root_id,
-              parent_id: recommendation.parent,
-            };
-          })
-        );
-      },
     },
     $trs: {
       backToBrowseAction: 'Back to browse',
@@ -387,4 +544,8 @@
     z-index: 3;
   }
 
+  .recommendations-loader {
+    margin-top: 24px;
+  }
+
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js
index 21a82e7ba2..c53aaad08a 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js
@@ -1,619 +1,3 @@
-const contentNodes = [
-  {
-    id: 'e95c21b048b44760955a2125665d3499',
-    content_id: '0e296144fab75efdb7d187e7a5b89ffd',
-    title: 'Preface',
-    description:
-      'This book is a guide for students taking the AP Calculus AB and AP Calculus BC exams. It is written by Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather, and Paul A. Zorn. The book is published by OpenStax College, a nonprofit organization committed to improving student access to quality learning materials.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
-    provider: '',
-    aggregator: '',
-    role_visibility: 'learner',
-    license_description: null,
-    copyright_holder: 'Rice University',
-    extra_fields: {},
-    node_id: '2e539ad7f8ea5efcb9aa0c895817ccd4',
-    original_source_node_id: '2e539ad7f8ea5efcb9aa0c895817ccd4',
-    original_channel_id: 'fc47aee82e0153e2a30197d3fdee1128',
-    original_node_id: 'e95c21b048b44760955a2125665d3499',
-    thumbnail_encoding:
-      '{"base64": 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-    title: 'Chapter 1. Functions and Graphs',
-    description:
-      'This chapter covers functions and graphs, and they can be used to model real-world situations.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    license_description: null,
-    copyright_holder: 'Rice University',
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BAPAM6cOgHEq3MlHoCgQocKbRFPFICkSpcyXYrrGICoUqdSrWr1KtasWrdy7Tr1QbxSAADEA2D2LLxaANaybbtWU7wUAJ7BAgAgng0AevfyBRAvHgAAuI4BKGz4MIB4ABYzbgwgXh0A8coAqGz5cmV48QBw7uz582dcxwCQLm36NOrU/6pXs27t+jXs2LJn065t+zbu3Lp38+7t+zfw4MKHEy9u/Djy5MqXM2/u/Dn06NKnU69u/Tr27Nq3c+/u/Tv48OLHky9fPQKxeOrXs2/vPt4tKADm069v/z7+/Pr344/nH2A8gQMHSgFwEGFChQsZNnT4EGJEiRMlznkXD2NGjRs5dvQYbwYAkSNJljR5EmVKlfFYtnTJUgoAmTNp1rR5E2dOnTt59vSZ84W6eEOJFjV6FGlSpQCYNnX6FGpUqVOjxrN6FatVKQC4dvX6FWxYsWPJljV7Fm3YZPHYtnX7FhMAuXPp1p27JF5evXv3wiMBAHBgwYMJFzZ8WHA8xYsZK/+WAgByZMmTKVe2fBlzZs2bOU9mFw90aNGiAZQ2fRp1atTxWLd23ZoPANmzac9OUatdPN27effWDS8NAOHDiQ+Pdxx58uNSADR3/hw6gBjd4lW3fv26u1UFAHT3/h18ePHjyZc3Pz5eevXr1wNw/x5+fPnz6dd/T6NdPP37+ff3DzCewIEE433LACChwngMGzpkKAWAxIkTMcS7iDGjxo0cL5YBADKkyJEkS5o8iTIlgFbxWrp86RKAzJk0a9q8iTOnTHjxevr86VMJgKFEiT6IhzSpUqUAmjaNBzWqVKhSAFi9SiGe1q1cu8bz5gtTrnhky5o9SxaA2rVs27p9Czf/rty48eravWs3GIC9fPv6/Qs4sGAA8QobPlx4FoDFjBs7jgc5smTIhwBYBhAvs+bNmaUA+AygVrzRpEuPpgQgterVq4XEew079msmAGrbvo07t+7dvHvrjgc8uPDgvAAYP448ufLlzJs7f748nvTp1KcfAoAdQLzt3LtvlwIg/LN45MubJw8gvfr17NXn6AE/vvweGgBQuo8/v/79+gH4BwhA4ECCBQ0eHIgr3kKGDRkCgBhR4kSKFS1etBhAhah4HT1+BBlSZMdDAEwCiJdS5cqUUgAAGBBP5kya8UYBwJlT506ePXfGAxpU6FCiQwEcRZpU6VKmTOM9hRo1KgCq/1WtXsWaFUA8rl29diUAQGygeGXNnkWb1iwpAPHcvoXr9hAAugDi3cWb964UAACyxAMcWHA8OgAMH0acWPHixPEcP4YcWXJkAJUtX8acWfNmd/E8fwYNWgAA0qVNn0ZdOkw81q1dty4CAMCmeLVt3679C8Bu3r19xwMeXDjwQwCMA4iXXPny5FIAPI8XXfr06GEAXMeeXTv2ELC8fwcPqxIA8uXNn0efXv169uyHxYMfX/78agDs38ef//6weP39A4wncKDASgAOiouncCHDeLYAQIwocSKAIPEuYsx48RCAjgDigQwpEqQUACYDxEupcmVKcwBewowpE8CUeDZv4v+MhwUAz54+fwINKnQo0aI9gcRLqnQp06ZOnz4dAGDq1CLxrmLNilUVgK5evwLwFm8s2bJmMwFICyAe27Zu2UoBIFduhXTx7uLNm7fXBgB+AQARFG8w4cKFpQFIrHgx48aOH0OOLBlyiHiWL2POrHkz5xcAPoMODSBHvNKmT6NOrXr1aQCuAcSLLXt2bCkAbuPGXS4e796+fwMPztsOgOLGjyNPrnw58+bOnys/FG869erWr8fbcwEA9+7ev4MXgC4e+fLmz5PHAmD9+nju38N3rwwA/Xj27+O3LwUA//7+AQIQCGDBm3gHESZUiFAUAIcPIUaUOJFiRYsXMWbUuJH/Y0ePH0GGFDmSZEmTJzPGU7mSpUoAL2HGlDmTZk2bN3Hm1LmTZ0+fP4EGjRmPaFGjRAEkVbqUaVOnT6FGlTqValWrV7Fm1bp1aTyvX8F6BTCWbFmzZ9GmVbuWbVu3b+HGlTuXbt2y8fDm1YsXQF+/fwEHFjyYcGHDhxEnVryYceJ4jyFHfowEQGXLlzFXjreZc+fNAECDjjeadOnRAFADWBGPdWvXrAHElj2bdmw58XDn1h3PCADfv4EbiTeceHHjx+MZCQCAeXPnz6FHlz6denXr0eNl1749OxIA38GHF/89Xnnz58sDUK8+Xnv379sDkA9gRTz79/HbB7Cff3///wABAJATr6DBg/GMAFi48FS8hxAjSpxIMWIgABgzatzIsaPHjyBDiswYr6TJkyWRAFjJsqXLlfFiypwZE4BNm/Fy6tyZE4BPACviCR1KVCiAo0iTKj0qJ57Tp1DjGQFANZ7Vq1itogPAtatXrtziiR1LViyAs2jTql3Ltq3bt3DjAohHt65dukgA6N3Lt6/eeIADCwYMoHDheIgTK0YMoDGAFfEiS54cGYDly5gzW5YTr7Pnz/GMAAAQI57p06hNgwDAurVr14biyZ5NOx6A27hz697Nu7fv38CDxxtOvPhwJACSK1/OPHm859CjPwdAnXq869izXwfAHcCKeODDi/8HD6C8+fPoy8uJx769+3hGAMiPR7++/fv217kRAKC/f4AABA4kWNDgQYQJFS5kuDDeQ4gRHyIBUNHiRYwV423k2HEjAJAg440kWXIkAJQAVsRj2dIlSwAxZc6kGVNOPJw5dcYzAsDnzyPxhA4lWtToUaHQACxl2tTpU6hRpU6lWrVpPKxZtWJFAsDrV7BhvcYjW9YsWQBp08Zj29YtWwBxAayIV9fu3boA9O7l21evpHiBBQ+OZwTAYcSJFQv4AyveY8iRJU9+7A7AZcyZNW/m3NnzZ9Ch440mXXp0LwCpVa9mDQBVPNixZcMGULt2PNy5deMG0BtAhHjBhQ8PbgH/wHHkyZVnidfc+fPmRgBMp17d+nXsANrF497de3cA4cWPJ1/e/Hn06dWrJxbP/Xv47r0pAFDf/n378fTv588fAEAAAgHEK2jwYEEAChXGa+jwoUMhACZSrEjRXbyMGjdqNAIAQLyQIkeGBGDyJMqUJuOxbOmSJYCYMmfSrGnzJs6cOneuiOfzJ9CgQocSBQrg6NF4SpcyVQrg6dMA8aZSrWr1KtasVY0A6AovHtiwYsPCKwLgLNqzf+Kxbeu2rTsAcufSrWv3Lt68evfynWsrHuDAggcTDiwIAK54ihczjgfg8eN4kidTlgzgMubL8TZz7uz5M+dgAADEK236dDwj/wBWs54V7zXs2LJn04YtDQWA3Lp38+7t+zfw4MKHB0/CLR7y5MqRB0oA4Dn0J2imU6+OBgB27Gi2c+++HQD48OLD73kX7zz69PHYXQDg/j0ANPLn00fDAQD+/PrxC6jBDGA8gQMJFozXyQEAhQsZNnT4EGJEiRMpVrR4EWNGjRs5dvT4EWRIkSNJljR5EmVKlStZtnRJclI8PQBo1rR5s2a8LgB49vT58xksAEOJFjV6FGlSpUuZNnX6FGpUqVOjJjDHDkBWrVu5iogHAGxYsWPBPoMFAG1atWvZtnX7Fm5cuQBWxItXANcxAHv59vX7F3BgwYMJFzZseEE8AwAYN/92DIBCPF4AAByKF08LAM0AqMSLlwhAaADPYAEAEA9AatWrVccDAABXLQA04qkBcNuAsnjlAACwFU9VAADD2cRzFQBAcgAC4sHzIQBA9AbT4ukAcB17du3bAeA6BgB8ePHjyZc3fx59evXr2QOIFw9AfPnyMcUDACCeDwD7+fffDzBFvEEAnsECACAegIUMGzKMBwAArngAKlq8KCCeFAAcO3a8EE8LgHgmAJg8idLktngDALh8CTMmTFzHANi8iTOnzp08e/r8CTSo0JvxIAA4elRFvD8AAIQ7BSCq1KlTF8UD8AwWAADxAHj9CvZrPAAAcB0DgDatWgDxALh9Cxf/QLw63eLZvYs3r10AfPv6/esX1zEAhAsbPow4seLFjBs7fgzZcDxIACrP2jYAgGYX8QB4/gwadLx4AJ7BAgAgHoDVrFuvXhEPAABcxwDYvo0bQDwAvHv7BhCvzpF4AIobP25cwbE5AJo7fw79Oa5jAKpbv449u/bt3Lt7/w4+PHZC8UDEIwIgvXoAr+LZAgA/PvwB8WYBuP8MFgAAE+LJAAhA4ECB3uIBiAcAAK5jABw+hAggHgCKFS0CiFcHAIB28ZgAABkSJIN4gwCcRJlS5UpcxwC8hBlT5kyaNW3exJlT506ePX3+BBpU6FCiRY0eRZpU6VKmTZ0+hRpV6lSq/1WtXsWaVetWrl29fgUbVuxYsmXNnkWbVu1atm3dvoUbV+5cunXt3sWbV+9evn39/gUcWPBgwoUNH0acWPFixkwLcYsXWfJkypMfAcCcWfNmzp09fwb9Od5o0qVHSwGQWvVq1q1dv4YdW/Zs2rVtqyaELt5u3r19//69CcBw4sWNH0eeXPly4/GcP4fuXAoA6tWtX8eeXft27t29fwcfflo88uXNn0efPn0EAO3dv4cfX/58+vUBxMOfXz9+KQD8AwQgcCDBggYPIkyocCHDhg4TDogncSLFihYvYpzoDgDHjh4/ggwpciTJeCZPojQpBQDLli5fwowpcybNmjZv4v+sGW8nz54+fwINGnQAgKJGjyJNqnQpU6XxnkKN+lQKgKpWr2LNqnUr165ev4INyxVbvLJmz6JNG2xWp2Pw4sGNK3fuXAUA7uLNq3cv375+98YLLHhwYCkADiNOrHgx48aOH0OOLHly43iWL2POHG/dAQCeP4MGLQRbvNKmT6OGAWA169auX8OOLdt1vNq2b9eWAmA3796+fwMPLnw48eLGjwOPp3w58+aCAECPLn36dHXxrmPPnt0RgO7ev4MPL348+e/xzqNPf14KgPbu38OPL38+/fr27+PPDx9IvP7+AcYTOFAgNwAHESZUuPBgAmXxIEaUGPEAAIsXMWa86OL/TiNTvaxBAwZr0h0hCwCkVLmSZcp4L2HGfCkFQE2bN3HeFLDBCyhcxKa5ctQHCwCjR5EmVbqUaVOnT6EajTeVatWqlgBk1bqVa1euweKFFTs2rDsAZ9GmncAnXlu3b+HGdcvODwC7d/HG07uXr14pAAAHFhy4wbd4hxEnVrx4BQDHjyFHljyZcmXLlyXXireZc2fOGwCEFj2adOnSAuKlVr1aNQDXr10Tijebdm3bt3HPtgaAd2/e8YAHFw5cCgDjx5ED0BOPeXPnz6FDvwGAenXr17Fn176de/fq8cCHFx8+GADz59GnV7+efXvzG+LFlz+ffn379wHk1x+Pf3///wDjxZMCoKDBghriKVzIsKHDhw0BSJxIsaLFixgzatzYJZ7HjyA/DgBAsqTJkyhTqlwJ4EO8lzBjyoxnTZeuZe/i6dzJs2c8dgCCBo1HtKhRolIAKF0KgFG8p1CjSp1KlaoCAFizat3KtavXr2C/notHtqzZsgDSql3Ltq3bt3ABJIhHt67dugDy6t2rN57fv4D/ngBAGEC8w4gTH5YCoHHjHvEiS548edkBAJgzA1DgLp7nz6A/hwFAurTp06hTq17NWnW817Bjw+YGoLbt27hz697NG8C0eMCDCwcOoLjx48jjKV/OXPkcANABxJtOvfp0KQCyAxgQr7v3795JAP8YT778eALx0qtfrx6A+/fw48ufT7++ffrx8uvfr78UAIAABA4kWNDgQYQJ4y1k2HDhFAARJU6kGM/iRYwWDwHgCCDeR5AhP0oBUBJAPJQpVaYE0NLlS5gAgMSjWdNmvF4AdO7k2dPnT6BBhf6MV9ToUaOfACxl2tTpU6hRpU6lCvVAPKxZtWI9BMArgHhhxY4NKwXAWSrx1K5lq1YAALhx5c6FG8/uXbx2ewDg29fvX8CBBQ8mDDjeYcSJEWcD0NjxY8iRJU+mXNnyYyKZ4m3m3LnzIQChAcQjXdo0aSkAVMdj3do160cAZM+mXdv2bdrxdO/m3dt3bwDBhQ8nXtz/eHF38ZQvZ74cwHPo0aVPp17d+vXoBoQA8uUt3nfw4cWPj3cIwHkA8dSvZ69eCgD48eTPpx+P3QAA+fXv59/fP0AAAgHEK2jwIMKECAEwbOjwIcSIEN3Eq2jxosUBADZy7OjxI0gAX/6QLGmS5BMAKlcC6BLvJcyYMmfSnHkIAE4A8Xby7LlTCgAAJeIRLWo0nh8ASpcyber0adN4UqdSrWq1KoCsWrdy7erVa7ywYseOBWD2LNq0atcCiOf2Ldy3HgDQBfAuHt68evfyzasqHuDAggEfAmAYQLzEihcnlgIAAJl4kidTjncGAObMmjdz7rw5HujQokeTHg3gNOrU/6pXs2YtLB7s2LJjjwBg+zbu3Lp1M4nn+zfw3wCGh4hn/Djy5MfdsTrUIwCA6ADiUa9unfohANoBxOvu/Xt3KQAAFIln/jz6eI8AsG/v/j38+O/j0a9v/z7++wD28+/vHyAAgQMJFjQYD2FChQsBNHT4EGLEhwTiVbR40WIkAACOxPP4EeRHLABIljRpMl5KlStTHgLwEkA8mTNpypQCAGc8nTt56mwBAGhQoUOJFjV6FGlSpUuDEon3FGrUqO0AVLV6FWvWqnXidfX69SsAAE7ilTV7tqwLAGvZtnULIF5cuXPjHgJwF0A8vXv56pUCAHA8wYMJC0YHAHFixYsTQ/+K9xhy5HhqAFS2fBlzZs2bOXfuHA90aNGjdzkAcBp1atWoEcRz/Ro27HYVAABIFg93bt3xoAHw/Rt4cAAK4hU3frz4IQDLAcRz/hy6cykAqMeIdx179uuDAHT3/h1893jjyZePBwlAevXr2bd3/x5+fPkA4tW3fx9/fRoA+Pf3DxCAQACC1MU7iDChQgAMAcR7CDHiQ2UAKlq8iBEAu3gcO3rkeAiASADxSpo8WVIKgJUA3MV7CTPmyyUAatq8eRNPvJ08e+4EADSo0KFEixo9ijRpUGTxmjp9CjWq1KlU2wG4etVTvK1cu26lACCs2LFiA8Q7izZtWkUA2gKIBzf/rly4UgDYtfsunt69fPcCAQA4sOAy8QobPmyYAYDFjBs7fgw5suTJlB3Hu4w5s+bNnDtztgYgtGgD5eKZPo36tBUArFuzPsAqnuzZtGvH+wQgN4B4vHv75i0FgPDhUuIZP448ebxosEg5iwc9uvTp8XoAuI49u/bt3Lt7/w6++7t45MubP48+vXryUwC4fw8/nvz59Ovbv4+f/jcA/AHEAxhP4ECC8aQAQJgQIbp4DR0+hBhRIkQAFS1exJhR40aOHT1+TBVP5EiSJU2eNGkMwEqWLVnGgxlT5kyaNOnEw5lTJ04APQHEAxpUKFApAIwePcoi3lKmTZ0+hboUwFSq/1WtXsWaVetWrl2tJhkWT+xYsmXNln23AcBatm3drjXQLt5cunXt3k0GQG88vn398m0AQHA8woUNE5YCQPFixooLmIsXWfJkypXjQasBQPNmzp09fwYdWvRo0qOPmIqXWvVq1qrLFQEQW/Zs2rVlDzAVT/du3rydbQAQXLgmVcWNHy8OQLkq5s2dM9cBQPp06tUB6PgWT/t27tybMQIQXvx48uXNn0efXv169u3dv4cfX/58+vXt38efX/9+/v39AwQgcCDBggYPIkyocCHDhg4fCowncSJFiQAuYsyocSPHjh4/ggwpciTJkiZPokyZMR7Lli5ZAogpcybNmjZv4v/MqXMnz54+fwINKnTozHhGjyI1CmAp06ZOn0KNKnUq1apWr2LNqnUr165N44ENKxYsgLJmz6JNq3Yt27Zu38KNK3cu3bp2756Np3cvX70A/gIOLHgw4cKGDyNOrHgx48aOH0OOHDge5cqWKQPIrHkz586eP4MOLXo06dKmT6NOrXr15niuX8N2DWA27dq2b+POrXs3796+fwMPLnw48eK14yFPrhw5gObOn0OPLn069erWr2PPrn079+7evz+PJ348efEAzqNPr349+/bu36u30Cke/fr27a8KA2A///7+AQIQOJBgQYMHESZUuBBhPIcPITpEAoBiRYsXKcbTuJH/o0YAHz/GEzmSpEgAJwGsiLeSZcuVAGDGlDkTppx4N3HmjGcEQE+fPUPEEzqUaFGjRZEBULqUaVOnT6FGlTqVqtN4V7FmvYoEQFevX8F2jTeWbNmxANCijbeWbdu1AOACWBGPbl27dAHk1buXb1458QAHFhzPCADDh4fFU7yYcWPHjxU/AzCZcmXLlzFn1ryZc+fK8UCHFg0aCQDTp1GnNh2PdWvXrAHEjh2Pdm3btAHkBrAiXm/fv3sDED6ceHHhcuIlV748nhEAzwFMiDedenXr17FfPweAe3fv38GHFz+efHnz3OOlV78+PRIA7+HHl/8+Xn379+sD0K8/Xn///wDjCRwIoCCAFfESKlyYEIDDhxAjOpQTr6LFi/GMANjoLJ7HjyA9+iEAoKRJk4viqVzJciWAlzBjypxJs6bNmzhzAojHs6dPnkgACB1KtKjQeEiTKkUKoGnTeFCjSoUKoCqAFfGyat2aFYDXr2DDepUTr6zZs/GMAFgbr63bt20NAJhLty5dePHy6t0bDwiAv4ADCx5MuLDhw4gTx1vMuPFiJAAiS55MOXK8y5gzXwbAmXO8z6BDfwZAGsCKeKhTq0YNoLXr17Bby4lHu7bteEYAABARr7fv370BCB9OvPireMiTK48HoLnz59CjS59Ovbr16/Gya9+eHQmA7+DDi///Hq+8+fPlAahXH6+9+/ftAcgHsCKe/fv47QPYz7+/f4AAAMiJV9DgwXhGAADgEM/hQ4gPBQCgWNHiRYwZNW7k2NHjR4/xRI4kKRIJAJQpVa5EGc/lS5guAcycGc/mTZw2AewEsCLeT6BBfwIgWtToUaJy4i1l2jSeEQBR402lWtXqVF98DADg2tXrV7BhxY4lW9bsWbDx1K5lqxYJALhx5c6FG8/uXbx2AezdG8/vX8B+AQwGsCLeYcSJDwNg3NjxY8Zy4k2mXDmeEQCZtcTj3NnzZ9Ccx8kJAMD0adSpVa9m3dr1a9iw482mXXs2EgC5de/mnTveb+DBfwMgTjz/3nHkyY8DYA5gRTzo0aVDB1Dd+nXs1eXE497dezwjAMSLzxTP/Hn06dWvjwetAQD48eXPp1/f/n38+fXPj9ffP8B4AgciAWDwIMKEBuMxbOiQIYCIEeNRrGiRIoCMAFbE6+jxY0cAIkeSLClSTryUKlfGMwLgJUwArOLRrGnzJs6cNC8dAODzJ9CgQocSLWr0KFKf8ZYybboUCYCoUqdSjRrvKtasVwFw5RrvK9iwXwGQBbAiHtq0atECaOv2Ldy2fOLRrWs3nhEAevfyBbCgEbR4ggcTLmzY8AAAihczbuz4MeTIkidTjmf5MmbLTQBw7uz5M+d4okeTFg3g9Ol4/6pXs1YN4DWAFfFm0649GwDu3Lp34+4U7zfw4PGMAChu/Dhy4yw8xWvu/Dn06PEAUK9u/Tr27Nq3c+/uPR748OLB4wFg/jz69AC2xGvv/n17APLlx6tv/359APoBlIjnH2A8gQMHAjB4EGFCAA/iNXT4sKERABMpVrR40SKBSvE4dvTocR0AkSNJljR5EmVKlStXxnP5EqbLcABo1rR5EwC4eDt59twJACjQeEOJFh0KACkABPGYNnXKVAcAqVOpVq0UD2tWrViNAPD6FWxYsWMBmEAXD21atWgBtHX7Fm5cuXPp1rVrN15evXv1GgDwF3DgwFTiFTZ82DAAxYrjNf92/LgxAMmS41W2fNkyAM2bOXOmEA90aNGhjQAAEA91atXx2gFw/Rp2bNfxaNe2TRtAbt27eff2/Rt4cOHC78Qzfhz5cXgAmDd3DuBHunjTqVevDgA79njbuXffDgA8+HjjyZcvPwBAevXrASSL9x5+/PhGAACIdx9//vuZAPT3DxCAwIEDOcQ7iDBhvF0AGjp8CDGixIkUK1q8qCyexo0cOZZjAiAkgAE2gsU7iTKlypMAWraMBzOmTJgAatbsEy+nzp08Z1UAA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-    title: 'Chapter 2. Limits',
-    description:
-      'This chapter covers the concept of limits and how they are used to define the derivative.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    license_description: null,
-    copyright_holder: 'Rice University',
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BAPAM6cOgHEq3MlHoCgQocKbRFPFICkSpcyXYrrGICoUqdSrWr1KtasWrdy7Tr1QbxSAADEA2D2LLxaANaybbtWU7wUAJ7BAgAgng0AevfyBRAvHgAAuI4BKGz4MIB4ABYzbgwgXh0A8coAqGz5cmV48QBw7uz582dcxwCQLm36NOrU/6pXs27t+jXs2LJn065t+zbu3Lp38+7t+zfw4MKHEy9u/Djy5MqXM2/u/Dn06NKnU69u/Tr27Nq3c+/u/Tv48OLHky9fPQKxeOrXs2/vPt4tKADm069v/z7+/Pr344/nH2A8gQMHSgFwEGFChQsZNnT4EGJEiRMlznkXD2NGjRs5dvQYbwYAkSNJljR5EmVKlfFYtnTJUgoAmTNp1rR5E2dOnTt59vSZ84W6eEOJFjV6FGlSpQCYNnX6FGpUqVOjxrN6FatVKQC4dvX6FWxYsWPJljV7Fm3YZPHYtnX7FhMAuXPp1p27JF5evXv3wiMBAHBgwYMJFzZ8WHA8xYsZK/+WAgByZMmTKVe2fBlzZs2bOU9mFw90aNGiAZQ2fRp1atTxWLd23ZoPANmzac9OUatdPN27effWDS8NAOHDiQ+Pdxx58uNSADR3/hw6gBjd4lW3fv26u1UFAHT3/h18ePHjyZc3Pz5eevXr1wNw/x5+fPnz6dd/T6NdPP37+ff3DzCewIEE433LACChwngMGzpkKAWAxIkTMcS7iDGjxo0cL5YBADKkyJEkS5o8iTIlgFbxWrp86RKAzJk0a9q8iTOnTHjxevr86VMJgKFEiT6IhzSpUqUAmjaNBzWqVKhSAFi9SiGe1q1cu8bz5gtTrnhky5o9SxaA2rVs27p9Czf/rty48eravWs3GIC9fPv6/Qs4sGAA8QobPlx4FoDFjBs7jgc5smTIhwBYBhAvs+bNmaUA+AygVrzRpEuPpgQgterVq4XEew079msmAGrbvo07t+7dvHvrjgc8uPDgvAAYP448ufLlzJs7f748nvTp1KcfAoAdQLzt3LtvlwIg/LN45MubJw8gvfr17NXn6AE/vvweGgBQuo8/v/79+gH4BwhA4ECCBQ0eHIgr3kKGDRkCgBhR4kSKFS1etBhAhah4HT1+BBlSZMdDAEwCiJdS5cqUUgAAGBBP5kya8UYBwJlT506ePXfGAxpU6FCiQwEcRZpU6VKmTOM9hRo1KgCq/1WtXsWaFUA8rl29diUAQGygeGXNnkWb1iwpAPHcvoXr9hAAugDi3cWb964UAACyxAMcWHA8OgAMH0acWPHixPEcP4YcWXJkAJUtX8acWfNmd/E8fwYNWgAA0qVNn0ZdOkw81q1dty4CAMCmeLVt3679C8Bu3r19xwMeXDjwQwCMA4iXXPny5FIAPI8XXfr06GEAXMeeXTv2ELC8fwcPqxIA8uXNn0efXv169uyHxYMfX/78agDs38ef//6weP39A4wncKDASgAOiouncCHDeLYAQIwocSKAIPEuYsx48RCAjgDigQwpEqQUACYDxEupcmVKcwBewowpE8CUeDZv4v+MhwUAz54+fwINKnQo0aI9gcRLqnQp06ZOnz4dAGDq1CLxrmLNilUVgK5evwLwFm8s2bJmMwFICyAe27Zu2UoBIFduhXTx7uLNm7fXBgB+AQARFG8w4cKFpQFIrHgx48aOH0OOLBlyiHiWL2POrHkz5xcAPoMODSBHvNKmT6NOrXr1aQCuAcSLLXt2bCkAbuPGXS4e796+fwMPztsOgOLGjyNPrnw58+bOnys/FG869erWr8fbcwEA9+7ev4MXgC4e+fLmz5PHAmD9+nju38N3rwwA/Xj27+O3LwUA//7+AQIQCGDBm3gHESZUiFAUAIcPIUaUOJFiRYsXMWbUuJH/Y0ePH0GGFDmSZEmTJzPGU7mSpUoAL2HGlDmTZk2bN3Hm1LmTZ0+fP4EGjRmPaFGjRAEkVbqUaVOnT6FGlTqValWrV7Fm1bp1aTyvX8F6BTCWbFmzZ9GmVbuWbVu3b+HGlTuXbt2y8fDm1YsXQF+/fwEHFjyYcGHDhxEnVryYceJ4jyFHfowEQGXLlzFXjreZc+fNAECDjjeadOnRAFADWBGPdWvXrAHElj2bdmw58XDn1h3PCADfv4EbiTeceHHjx+MZCQCAeXPnz6FHlz6denXr0eNl1749OxIA38GHF/89Xnnz58sDUK8+Xnv379sDkA9gRTz79/HbB7Cff3///wABAJATr6DBg/GMAFi48FS8hxAjSpxIMWIgABgzatzIsaPHjyBDiswYr6TJkyWRAFjJsqXLlfFiypwZE4BNm/Fy6tyZE4BPACviCR1KVCiAo0iTKj0qJ57Tp1DjGQFANZ7Vq1itogPAtatXrtziiR1LViyAs2jTql3Ltq3bt3DjAohHt65dukgA6N3Lt6/eeIADCwYMoHDheIgTK0YMoDGAFfEiS54cGYDly5gzW5YTr7Pnz/GMAAAQI57p06hNgwDAurVr14biyZ5NOx6A27hz697Nu7fv38CDxxtOvPhwJACSK1/OPHm859CjPwdAnXq869izXwfAHcCKeODDi/8HD6C8+fPoy8uJx769+3hGAMiPR7++/fv217kRAKC/f4AABA4kWNDgQYQJFS5kuDDeQ4gRHyIBUNHiRYwV423k2HEjAJAg440kWXIkAJQAVsRj2dIlSwAxZc6kGVNOPJw5dcYzAsDnzyPxhA4lWtToUaHQACxl2tTpU6hRpU6lWrVpPKxZtWJFAsDrV7BhvcYjW9YsWQBp08Zj29YtWwBxAayIV9fu3boA9O7l21evpHiBBQ+OZwTAYcSJFQv4AyveY8iRJU9+7A7AZcyZNW/m3NnzZ9Ch440mXXp0LwCpVa9mDQBVPNixZcMGULt2PNy5deMG0BtAhHjBhQ8PbgH/wHHkyZVnidfc+fPmRgBMp17d+nXsANrF497de3cA4cWPJ1/e/Hn06dWrJxbP/Xv47r0pAFDf/n378fTv588fAEAAAgHEK2jwYEEAChXGa+jwoUMhACZSrEjRXbyMGjdqNAIAQLyQIkeGBGDyJMqUJuOxbOmSJYCYMmfSrGnzJs6cOneuiOfzJ9CgQocSBQrg6NF4SpcyVQrg6dMA8aZSrWr1KtasVY0A6AovHtiwYsPCKwLgLNqzf+Kxbeu2rTsAcufSrWv3Lt68evfynWsrHuDAggcTDiwIAK54ihczjgfg8eN4kidTlgzgMubL8TZz7uz5M+dgAADEK236dDwj/wBWs54V7zXs2LJn04YtDQWA3Lp38+7t+zfw4MKHB0/CLR7y5MqRB0oA4Dn0J2imU6+OBgB27Gi2c+++HQD48OLD73kX7zz69PHYXQDg/j0ANPLn00fDAQD+/PrxC6jBDGA8gQMJFozXyQEAhQsZNnT4EGJEiRMpVrR4EWNGjRs5dvT4EWRIkSNJljR5EmVKlStZtnRJclI8PQBo1rR5s2a8LgB49vT58xksAEOJFjV6FGlSpUuZNnX6FGpUqVOjJjDHDkBWrVu5iogHAGxYsWPBPoMFAG1atWvZtnX7Fm5cuQBWxItXANcxAHv59vX7F3BgwYMJFzZseEE8AwAYN/92DIBCPF4AAByKF08LAM0AqMSLlwhAaADPYAEAEA9AatWrVccDAABXLQA04qkBcNuAsnjlAACwFU9VAADD2cRzFQBAcgAC4sHzIQBA9AbT4ukAcB17du3bAeA6BgB8ePHjyZc3fx59evXr2QOIFw9AfPnyMcUDACCeDwD7+fffDzBFvEEAnsECACAegIUMGzKMBwAArngAKlq8KCCeFAAcO3a8EE8LgHgmAJg8idLktngDALh8CTMmTFzHANi8iTOnzp08e/r8CTSo0JvxIAA4elRFvD8AAIQ7BSCq1KlTF8UD8AwWAADxAHj9CvZrPAAAcB0DgDatWgDxALh9Cxf/QLw63eLZvYs3r10AfPv6/esX1zEAhAsbPow4seLFjBs7fgzZcDxIACrP2jYAgGYX8QB4/gwadLx4AJ7BAgAgHoDVrFuvXhEPAABcxwDYvo0bQDwAvHv7BhCvzpF4AIobP25cwbE5AJo7fw79Oa5jAKpbv449u/bt3Lt7/w4+PHZC8UDEIwIgvXoAr+LZAgA/PvwB8WYBuP8MFgAAE+LJAAhA4ECB3uIBiAcAAK5jABw+hAggHgCKFS0CiFcHAIB28ZgAABkSJIN4gwCcRJlS5UpcxwC8hBlT5kyaNW3exJlT506ePX3+BBpU6FCiRY0eRZpU6VKmTZ0+hRpV6lSq/1WtXsWaVetWrl29fgUbVuxYsmXNnkWbVu1atm3dvoUbV+5cunXt3sWbV+9evn39/gUcWPBgwoUNH0acWPFixkwLcYsXWfJkypMfAcCcWfNmzp09fwb9Od5o0qVHSwGQWvVq1q1dv4YdW/Zs2rVtqyaELt5u3r19//69CcBw4sWNH0eeXPly4/GcP4fuXAoA6tWtX8eeXft27t29fwcfflo88uXNn0efPn0EAO3dv4cfX/58+vUBxMOfXz9+KQD8AwQgcCDBggYPIkyocCHDhg4TDogncSLFihYvYpzoDgDHjh4/ggwpciTJeCZPojQpBQDLli5fwowpcybNmjZv4v+sGW8nz54+fwINGnQAgKJGjyJNqnQpU6XxnkKN+lQKgKpWr2LNqnUr165ev4INyxVbvLJmz6JNG2xWp2Pw4sGNK3fuXAUA7uLNq3cv375+98YLLHhwYCkADiNOrHgx48aOH0OOLHly43iWL2POHG/dAQCeP4MGLQRbvNKmT6OGAWA169auX8OOLdt1vNq2b9eWAmA3796+fwMPLnw48eLGjwOPp3w58+aCAECPLn36dHXxrmPPnt0RgO7ev4MPL348+e/xzqNPf14KgPbu38OPL38+/fr27+PPDx9IvP7+AcYTOFAgNwAHESZUuPBgAmXxIEaUGPEAAIsXMWa86OL/TiNTvaxBAwZr0h0hCwCkVLmSZcp4L2HGfCkFQE2bN3HeFLDBCyhcxKa5ctQHCwCjR5EmVbqUaVOnT6EajTeVatWqlgBk1bqVa1euweKFFTs2rDsAZ9GmncAnXlu3b+HGdcvODwC7d/HG07uXr14pAAAHFhy4wbd4hxEnVrx4BQDHjyFHljyZcmXLlyXXireZc2fOGwCEFj2adOnSAuKlVr1aNQDXr10Tijebdm3bt3HPtgaAd2/e8YAHFw5cCgDjx5ED0BOPeXPnz6FDvwGAenXr17Fn176de/fq8cCHFx8+GADz59GnV7+efXvzG+LFlz+ffn379wHk1x+Pf3///wDjxZMCoKDBghriKVzIsKHDhw0BSJxIsaLFixgzatzYJZ7HjyA/DgBAsqTJkyhTqlwJ4EO8lzBjyoxnTZeuZe/i6dzJs2c8dgCCBo1HtKhRolIAKF0KgFG8p1CjSp1KlaoCAFizat3KtavXr2C/notHtqzZsgDSql3Ltq3bt3ABJIhHt67dugDy6t2rN57fv4D/ngBAGEC8w4gTH5YCoHHjHvEiS548edkBAJgzA1DgLp7nz6A/hwFAurTp06hTq17NWnW817Bjw+YGoLbt27hz697NG8C0eMCDCwcOoLjx48jjKV/OXPkcANABxJtOvfp0KQCyAxgQr7v3795JAP8YT778eALx0qtfrx6A+/fw48ufT7++ffrx8uvfr78UAIAABA4kWNDgQYQJ4y1k2HDhFAARJU6kGM/iRYwWDwHgCCDeR5AhP0oBUBJAPJQpVaYE0NLlS5gAgMSjWdNmvF4AdO7k2dPnT6BBhf6MV9ToUaOfACxl2tTpU6hRpU6lCvVAPKxZtWI9BMArgHhhxY4NKwXAWSrx1K5lq1YAALhx5c6FG8/uXbx2ewDg29fvX8CBBQ8mDDjeYcSJEWcD0NjxY8iRJU+mXNnyYyKZ4m3m3LnzIQChAcQjXdo0aSkAVMdj3do160cAZM+mXdv2bdrxdO/m3dt3bwDBhQ8nXtz/eHF38ZQvZ74cwHPo0aVPp17d+vXoBoQA8uUt3nfw4cWPj3cIwHkA8dSvZ69eCgD48eTPpx+P3QAA+fXv59/fP0AAAgHEK2jwIMKECAEwbOjwIcSIEN3Eq2jxosUBADZy7OjxI0gAX/6QLGmS5BMAKlcC6BLvJcyYMmfSnHkIAE4A8Xby7LlTCgAAJeIRLWo0nh8ASpcyber0adN4UqdSrWq1KoCsWrdy7erVa7ywYseOBWD2LNq0atcCiOf2Ldy3HgDQBfAuHt68evfyzasqHuDAggEfAmAYQLzEihcnlgIAAJl4kidTjncGAObMmjdz7rw5HujQokeTHg3gNOrU/6pXs2YtLB7s2LJjjwBg+zbu3Lp1M4nn+zfw3wCGh4hn/Djy5MfdsTrUIwCA6ADiUa9unfohANoBxOvu/Xt3KQAAFIln/jz6eI8AsG/v/j38+O/j0a9v/z7++wD28+/vHyAAgQMJFjQYD2FChQsBNHT4EGLEhwTiVbR40WIkAACOxPP4EeRHLABIljRpMl5KlStTHgLwEkA8mTNpypQCAGc8nTt56mwBAGhQoUOJFjV6FGlSpUuDEon3FGrUqO0AVLV6FWvWqnXidfX69SsAAE7ilTV7tqwLAGvZtnULIF5cuXPjHgJwF0A8vXv56pUCAHA8wYMJC0YHAHFixYsTQ/+K9xhy5HhqAFS2fBlzZs2bOXfuHA90aNGjdzkAcBp1atWoEcRz/Ro27HYVAABIFg93bt3xoAHw/Rt4cAAK4hU3frz4IQDLAcRz/hy6cykAqMeIdx179uuDAHT3/h1893jjyZePBwlAevXr2bd3/x5+fPkA4tW3fx9/fRoA+Pf3DxCAQACC1MU7iDChQgAMAcR7CDHiQ2UAKlq8iBEAu3gcO3rkeAiASADxSpo8WVIKgJUA3MV7CTPmyyUAatq8eRNPvJ08e+4EADSo0KFEixo9ijRpUGTxmjp9CjWq1KlU2wG4etVTvK1cu26lACCs2LFiA8Q7izZtWkUA2gKIBzf/rly4UgDYtfsunt69fPcCAQA4sOAy8QobPmyYAYDFjBs7fgw5suTJlB3Hu4w5s+bNnDtztgYgtGgD5eKZPo36tBUArFuzPsAqnuzZtGvH+wQgN4B4vHv75i0FgPDhUuIZP448ebxosEg5iwc9uvTp8XoAuI49u/bt3Lt7/w6++7t45MubP48+vXryUwC4fw8/nvz59Ovbv4+f/jcA/AHEAxhP4ECC8aQAQJgQIbp4DR0+hBhRIkQAFS1exJhR40aOHT1+TBVP5EiSJU2eNGkMwEqWLVnGgxlT5kyaNOnEw5lTJ04APQHEAxpUKFApAIwePcoi3lKmTZ0+hboUwFSq/1WtXsWaVetWrl2tJhkWT+xYsmXNln23AcBatm3drjXQLt5cunXt3k0GQG88vn398m0AQHA8woUNE5YCQPFixooLmIsXWfJkypXjQasBQPNmzp09fwYdWvRo0qOPmIqXWvVq1qrLFQEQW/Zs2rVlDzAVT/du3rydbQAQXLgmVcWNHy8OQLkq5s2dM9cBQPp06tUB6PgWT/t27tybMQIQXvx48uXNn0efXv169u3dv4cfX/58+vXt38efX/9+/v39AwQgcCDBggYPIkyocCHDhg4fCowncSJFiQAuYsyocSPHjh4/ggwpciTJkiZPokyZMR7Lli5ZAogpcybNmjZv4v/MqXMnz54+fwINKnTozHhGjyI1CmAp06ZOn0KNKnUq1apWr2LNqnUr165N44ENKxYsgLJmz6JNq3Yt27Zu38KNK3cu3bp2756Np3cvX70A/gIOLHgw4cKGDyNOrHgx48aOH0OOHDge5cqWKQPIrHkz586eP4MOLXo06dKmT6NOrXr15niuX8N2DWA27dq2b+POrXs3796+fwMPLnw48eK14yFPrhw5gObOn0OPLn069erWr2PPrn079+7evz+PJ348efEAzqNPr349+/bu36u30Cke/fr27a8KA2A///7+AQIQOJBgQYMHESZUuBBhPIcPITpEAoBiRYsXKcbTuJH/o0YAHz/GEzmSpEgAJwGsiLeSZcuVAGDGlDkTppx4N3HmjGcEQE+fPUPEEzqUaFGjRZEBULqUaVOnT6FGlTqVqtN4V7FmvYoEQFevX8F2jTeWbNmxANCijbeWbdu1AOACWBGPbl27dAHk1buXb1458QAHFhzPCADDh4fFU7yYcWPHjxU/AzCZcmXLlzFn1ryZc+fK8UCHFg0aCQDTp1GnNh2PdWvXrAHEjh2Pdm3btAHkBrAiXm/fv3sDED6ceHHhcuIlV748nhEAzwFMiDedenXr17FfPweAe3fv38GHFz+efHnz3OOlV78+PRIA7+HHl/8+Xn379+sD0K8/Xn///wDjCRwIoCCAFfESKlyYEIDDhxAjOpQTr6LFi/GMANjoLJ7HjyA9+iEAoKRJk4viqVzJciWAlzBjypxJs6bNmzhzAojHs6dPnkgACB1KtKjQeEiTKkUKoGnTeFCjSoUKoCqAFfGyat2aFYDXr2DDepUTr6zZs/GMAFgbr63bt20NAJhLty5dePHy6t0bDwiAv4ADCx5MuLDhw4gTx1vMuPFiJAAiS55MOXK8y5gzXwbAmXO8z6BDfwZAGsCKeKhTq0YNoLXr17Bby4lHu7bteEYAABARr7fv370BCB9OvPireMiTK48HoLnz59CjS59Ovbr16/Gya9+eHQmA7+DDi///Hq+8+fPlAahXH6+9+/ftAcgHsCKe/fv47QPYz7+/f4AAAMiJV9DgwXhGAADgEM/hQ4gPBQCgWNHiRYwZNW7k2NHjR4/xRI4kKRIJAJQpVa5EGc/lS5guAcycGc/mTZw2AewEsCLeT6BBfwIgWtToUaJy4i1l2jSeEQBR402lWtXqVF98DADg2tXrV7BhxY4lW9bsWbDx1K5lqxYJALhx5c6FG8/uXbx2AezdG8/vX8B+AQwGsCLeYcSJDwNg3NjxY8Zy4k2mXDmeEQCZtcTj3NnzZ9Ccx8kJAMD0adSpVa9m3dr1a9iw482mXXs2EgC5de/mnTveb+DBfwMgTjz/3nHkyY8DYA5gRTzo0aVDB1Dd+nXs1eXE497dezwjAMSLzxTP/Hn06dWvjwetAQD48eXPp1/f/n38+fXPj9ffP8B4AgciAWDwIMKEBuMxbOiQIYCIEeNRrGiRIoCMAFbE6+jxY0cAIkeSLClSTryUKlfGMwLgJUwArOLRrGnzJs6cNC8dAODzJ9CgQocSLWr0KFKf8ZYybboUCYCoUqdSjRrvKtasVwFw5RrvK9iwXwGQBbAiHtq0atECaOv2Ldy2fOLRrWs3nhEAevfyBbCgEbR4ggcTLmzY8AAAihczbuz4MeTIkidTjmf5MmbLTQBw7uz5M+d4okeTFg3g9Ol4/6pXs1YN4DWAFfFm0649GwDu3Lp34+4U7zfw4PGMAChu/Dhy4yw8xWvu/Dn06PEAUK9u/Tr27Nq3c+/uPR748OLB4wFg/jz69AC2xGvv/n17APLlx6tv/359APoBlIjnH2A8gQMHAjB4EGFCAA/iNXT4sKERABMpVrR40SKBSvE4dvTocR0AkSNJljR5EmVKlStXxnP5EqbLcABo1rR5EwC4eDt59twJACjQeEOJFh0KACkABPGYNnXKVAcAqVOpVq0UD2tWrViNAPD6FWxYsWMBmEAXD21atWgBtHX7Fm5cuXPp1rVrN15evXv1GgDwF3DgwFTiFTZ82DAAxYrjNf92/LgxAMmS41W2fNkyAM2bOXOmEA90aNGhjQAAEA91atXx2gFw/Rp2bNfxaNe2TRtAbt27eff2/Rt4cOHC78Qzfhz5cXgAmDd3DuBHunjTqVevDgA79njbuXffDgA8+HjjyZcvPwBAevXrASSL9x5+/PhGAACIdx9//vuZAPT3DxCAwIEDOcQ7iDBhvF0AGjp8CDGixIkUK1q8qCyexo0cOZZjAiAkgAE2gsU7iTKlypMAWraMBzOmTJgAatbsEy+nzp08Z1UAA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-    title: 'Chapter 3. Derivatives',
-    description:
-      'This chapter covers the concept of derivatives, including the definition of the derivative, the derivative as a function, and the derivative of a sum, product, and quotient.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    copyright_holder: 'Rice University',
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-    title: 'Chapter 4. Applications of Derivatives',
-    description:
-      'This chapter covers applications of derivatives, including curve sketching, optimization, and related rates.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    copyright_holder: 'Rice University',
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-    title: 'Chapter 5. Integration',
-    description:
-      'This chapter covers integration, including the fundamental theorem of calculus and techniques of integration.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    license_description: null,
-    copyright_holder: 'Rice University',
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BAPAM6cOgHEq3MlHoCgQocKbRFPFICkSpcyXYrrGICoUqdSrWr1KtasWrdy7Tr1QbxSAADEA2D2LLxaANaybbtWU7wUAJ7BAgAgng0AevfyBRAvHgAAuI4BKGz4MIB4ABYzbgwgXh0A8coAqGz5cmV48QBw7uz582dcxwCQLm36NOrU/6pXs27t+jXs2LJn065t+zbu3Lp38+7t+zfw4MKHEy9u/Djy5MqXM2/u/Dn06NKnU69u/Tr27Nq3c+/u/Tv48OLHky9fPQKxeOrXs2/vPt4tKADm069v/z7+/Pr344/nH2A8gQMHSgFwEGFChQsZNnT4EGJEiRMlznkXD2NGjRs5dvQYbwYAkSNJljR5EmVKlfFYtnTJUgoAmTNp1rR5E2dOnTt59vSZ84W6eEOJFjV6FGlSpQCYNnX6FGpUqVOjxrN6FatVKQC4dvX6FWxYsWPJljV7Fm3YZPHYtnX7FhMAuXPp1p27JF5evXv3wiMBAHBgwYMJFzZ8WHA8xYsZK/+WAgByZMmTKVe2fBlzZs2bOU9mFw90aNGiAZQ2fRp1atTxWLd23ZoPANmzac9OUatdPN27effWDS8NAOHDiQ+Pdxx58uNSADR3/hw6gBjd4lW3fv26u1UFAHT3/h18ePHjyZc3Pz5eevXr1wNw/x5+fPnz6dd/T6NdPP37+ff3DzCewIEE433LACChwngMGzpkKAWAxIkTMcS7iDGjxo0cL5YBADKkyJEkS5o8iTIlgFbxWrp86RKAzJk0a9q8iTOnTHjxevr86VMJgKFEiT6IhzSpUqUAmjaNBzWqVKhSAFi9SiGe1q1cu8bz5gtTrnhky5o9SxaA2rVs27p9Czf/rty48eravWs3GIC9fPv6/Qs4sGAA8QobPlx4FoDFjBs7jgc5smTIhwBYBhAvs+bNmaUA+AygVrzRpEuPpgQgterVq4XEew079msmAGrbvo07t+7dvHvrjgc8uPDgvAAYP448ufLlzJs7f748nvTp1KcfAoAdQLzt3LtvlwIg/LN45MubJw8gvfr17NXn6AE/vvweGgBQuo8/v/79+gH4BwhA4ECCBQ0eHIgr3kKGDRkCgBhR4kSKFS1etBhAhah4HT1+BBlSZMdDAEwCiJdS5cqUUgAAGBBP5kya8UYBwJlT506ePXfGAxpU6FCiQwEcRZpU6VKmTOM9hRo1KgCq/1WtXsWaFUA8rl29diUAQGygeGXNnkWb1iwpAPHcvoXr9hAAugDi3cWb964UAACyxAMcWHA8OgAMH0acWPHixPEcP4YcWXJkAJUtX8acWfNmd/E8fwYNWgAA0qVNn0ZdOkw81q1dty4CAMCmeLVt3679C8Bu3r19xwMeXDjwQwCMA4iXXPny5FIAPI8XXfr06GEAXMeeXTv2ELC8fwcPqxIA8uXNn0efXv169uyHxYMfX/78agDs38ef//6weP39A4wncKDASgAOiouncCHDeLYAQIwocSKAIPEuYsx48RCAjgDigQwpEqQUACYDxEupcmVKcwBewowpE8CUeDZv4v+MhwUAz54+fwINKnQo0aI9gcRLqnQp06ZOnz4dAGDq1CLxrmLNilUVgK5evwLwFm8s2bJmMwFICyAe27Zu2UoBIFduhXTx7uLNm7fXBgB+AQARFG8w4cKFpQFIrHgx48aOH0OOLBlyiHiWL2POrHkz5xcAPoMODSBHvNKmT6NOrXr1aQCuAcSLLXt2bCkAbuPGXS4e796+fwMPztsOgOLGjyNPrnw58+bOnys/FG869erWr8fbcwEA9+7ev4MXgC4e+fLmz5PHAmD9+nju38N3rwwA/Xj27+O3LwUA//7+AQIQCGDBm3gHESZUiFAUAIcPIUaUOJFiRYsXMWbUuJH/Y0ePH0GGFDmSZEmTJzPGU7mSpUoAL2HGlDmTZk2bN3Hm1LmTZ0+fP4EGjRmPaFGjRAEkVbqUaVOnT6FGlTqValWrV7Fm1bp1aTyvX8F6BTCWbFmzZ9GmVbuWbVu3b+HGlTuXbt2y8fDm1YsXQF+/fwEHFjyYcGHDhxEnVryYceJ4jyFHfowEQGXLlzFXjreZc+fNAECDjjeadOnRAFADWBGPdWvXrAHElj2bdmw58XDn1h3PCADfv4EbiTeceHHjx+MZCQCAeXPnz6FHlz6denXr0eNl1749OxIA38GHF/89Xnnz58sDUK8+Xnv379sDkA9gRTz79/HbB7Cff3///wABAJATr6DBg/GMAFi48FS8hxAjSpxIMWIgABgzatzIsaPHjyBDiswYr6TJkyWRAFjJsqXLlfFiypwZE4BNm/Fy6tyZE4BPACviCR1KVCiAo0iTKj0qJ57Tp1DjGQFANZ7Vq1itogPAtatXrtziiR1LViyAs2jTql3Ltq3bt3DjAohHt65dukgA6N3Lt6/eeIADCwYMoHDheIgTK0YMoDGAFfEiS54cGYDly5gzW5YTr7Pnz/GMAAAQI57p06hNgwDAurVr14biyZ5NOx6A27hz697Nu7fv38CDxxtOvPhwJACSK1/OPHm859CjPwdAnXq869izXwfAHcCKeODDi/8HD6C8+fPoy8uJx769+3hGAMiPR7++/fv217kRAKC/f4AABA4kWNDgQYQJFS5kuDDeQ4gRHyIBUNHiRYwV423k2HEjAJAg440kWXIkAJQAVsRj2dIlSwAxZc6kGVNOPJw5dcYzAsDnzyPxhA4lWtToUaHQACxl2tTpU6hRpU6lWrVpPKxZtWJFAsDrV7BhvcYjW9YsWQBp08Zj29YtWwBxAayIV9fu3boA9O7l21evpHiBBQ+OZwTAYcSJFQv4AyveY8iRJU9+7A7AZcyZNW/m3NnzZ9Ch440mXXp0LwCpVa9mDQBVPNixZcMGULt2PNy5deMG0BtAhHjBhQ8PbgH/wHHkyZVnidfc+fPmRgBMp17d+nXsANrF497de3cA4cWPJ1/e/Hn06dWrJxbP/Xv47r0pAFDf/n378fTv588fAEAAAgHEK2jwYEEAChXGa+jwoUMhACZSrEjRXbyMGjdqNAIAQLyQIkeGBGDyJMqUJuOxbOmSJYCYMmfSrGnzJs6cOneuiOfzJ9CgQocSBQrg6NF4SpcyVQrg6dMA8aZSrWr1KtasVY0A6AovHtiwYsPCKwLgLNqzf+Kxbeu2rTsAcufSrWv3Lt68evfynWsrHuDAggcTDiwIAK54ihczjgfg8eN4kidTlgzgMubL8TZz7uz5M+dgAADEK236dDwj/wBWs54V7zXs2LJn04YtDQWA3Lp38+7t+zfw4MKHB0/CLR7y5MqRB0oA4Dn0J2imU6+OBgB27Gi2c+++HQD48OLD73kX7zz69PHYXQDg/j0ANPLn00fDAQD+/PrxC6jBDGA8gQMJFozXyQEAhQsZNnT4EGJEiRMpVrR4EWNGjRs5dvT4EWRIkSNJljR5EmVKlStZtnRJclI8PQBo1rR5s2a8LgB49vT58xksAEOJFjV6FGlSpUuZNnX6FGpUqVOjJjDHDkBWrVu5iogHAGxYsWPBPoMFAG1atWvZtnX7Fm5cuQBWxItXANcxAHv59vX7F3BgwYMJFzZseEE8AwAYN/92DIBCPF4AAByKF08LAM0AqMSLlwhAaADPYAEAEA9AatWrVccDAABXLQA04qkBcNuAsnjlAACwFU9VAADD2cRzFQBAcgAC4sHzIQBA9AbT4ukAcB17du3bAeA6BgB8ePHjyZc3fx59evXr2QOIFw9AfPnyMcUDACCeDwD7+fffDzBFvEEAnsECACAegIUMGzKMBwAArngAKlq8KCCeFAAcO3a8EE8LgHgmAJg8idLktngDALh8CTMmTFzHANi8iTOnzp08e/r8CTSo0JvxIAA4elRFvD8AAIQ7BSCq1KlTF8UD8AwWAADxAHj9CvZrPAAAcB0DgDatWgDxALh9Cxf/QLw63eLZvYs3r10AfPv6/esX1zEAhAsbPow4seLFjBs7fgzZcDxIACrP2jYAgGYX8QB4/gwadLx4AJ7BAgAgHoDVrFuvXhEPAABcxwDYvo0bQDwAvHv7BhCvzpF4AIobP25cwbE5AJo7fw79Oa5jAKpbv449u/bt3Lt7/w4+PHZC8UDEIwIgvXoAr+LZAgA/PvwB8WYBuP8MFgAAE+LJAAhA4ECB3uIBiAcAAK5jABw+hAggHgCKFS0CiFcHAIB28ZgAABkSJIN4gwCcRJlS5UpcxwC8hBlT5kyaNW3exJlT506ePX3+BBpU6FCiRY0eRZpU6VKmTZ0+hRpV6lSq/1WtXsWaVetWrl29fgUbVuxYsmXNnkWbVu1atm3dvoUbV+5cunXt3sWbV+9evn39/gUcWPBgwoUNH0acWPFixkwLcYsXWfJkypMfAcCcWfNmzp09fwb9Od5o0qVHSwGQWvVq1q1dv4YdW/Zs2rVtqyaELt5u3r19//69CcBw4sWNH0eeXPly4/GcP4fuXAoA6tWtX8eeXft27t29fwcfflo88uXNn0efPn0EAO3dv4cfX/58+vUBxMOfXz9+KQD8AwQgcCDBggYPIkyocCHDhg4TDogncSLFihYvYpzoDgDHjh4/ggwpciTJeCZPojQpBQDLli5fwowpcybNmjZv4v+sGW8nz54+fwINGnQAgKJGjyJNqnQpU6XxnkKN+lQKgKpWr2LNqnUr165ev4INyxVbvLJmz6JNG2xWp2Pw4sGNK3fuXAUA7uLNq3cv375+98YLLHhwYCkADiNOrHgx48aOH0OOLHly43iWL2POHG/dAQCeP4MGLQRbvNKmT6OGAWA169auX8OOLdt1vNq2b9eWAmA3796+fwMPLnw48eLGjwOPp3w58+aCAECPLn36dHXxrmPPnt0RgO7ev4MPL348+e/xzqNPf14KgPbu38OPL38+/fr27+PPDx9IvP7+AcYTOFAgNwAHESZUuPBgAmXxIEaUGPEAAIsXMWa86OL/TiNTvaxBAwZr0h0hCwCkVLmSZcp4L2HGfCkFQE2bN3HeFLDBCyhcxKa5ctQHCwCjR5EmVbqUaVOnT6EajTeVatWqlgBk1bqVa1euweKFFTs2rDsAZ9GmncAnXlu3b+HGdcvODwC7d/HG07uXr14pAAAHFhy4wbd4hxEnVrx4BQDHjyFHljyZcmXLlyXXireZc2fOGwCEFj2adOnSAuKlVr1aNQDXr10Tijebdm3bt3HPtgaAd2/e8YAHFw5cCgDjx5ED0BOPeXPnz6FDvwGAenXr17Fn176de/fq8cCHFx8+GADz59GnV7+efXvzG+LFlz+ffn379wHk1x+Pf3///wDjxZMCoKDBghriKVzIsKHDhw0BSJxIsaLFixgzatzYJZ7HjyA/DgBAsqTJkyhTqlwJ4EO8lzBjyoxnTZeuZe/i6dzJs2c8dgCCBo1HtKhRolIAKF0KgFG8p1CjSp1KlaoCAFizat3KtavXr2C/notHtqzZsgDSql3Ltq3bt3ABJIhHt67dugDy6t2rN57fv4D/ngBAGEC8w4gTH5YCoHHjHvEiS548edkBAJgzA1DgLp7nz6A/hwFAurTp06hTq17NWnW817Bjw+YGoLbt27hz697NG8C0eMCDCwcOoLjx48jjKV/OXPkcANABxJtOvfp0KQCyAxgQr7v3795JAP8YT778eALx0qtfrx6A+/fw48ufT7++ffrx8uvfr78UAIAABA4kWNDgQYQJ4y1k2HDhFAARJU6kGM/iRYwWDwHgCCDeR5AhP0oBUBJAPJQpVaYE0NLlS5gAgMSjWdNmvF4AdO7k2dPnT6BBhf6MV9ToUaOfACxl2tTpU6hRpU6lCvVAPKxZtWI9BMArgHhhxY4NKwXAWSrx1K5lq1YAALhx5c6FG8/uXbx2ewDg29fvX8CBBQ8mDDjeYcSJEWcD0NjxY8iRJU+mXNnyYyKZ4m3m3LnzIQChAcQjXdo0aSkAVMdj3do160cAZM+mXdv2bdrxdO/m3dt3bwDBhQ8nXtz/eHF38ZQvZ74cwHPo0aVPp17d+vXoBoQA8uUt3nfw4cWPj3cIwHkA8dSvZ69eCgD48eTPpx+P3QAA+fXv59/fP0AAAgHEK2jwIMKECAEwbOjwIcSIEN3Eq2jxosUBADZy7OjxI0gAX/6QLGmS5BMAKlcC6BLvJcyYMmfSnHkIAE4A8Xby7LlTCgAAJeIRLWo0nh8ASpcyber0adN4UqdSrWq1KoCsWrdy7erVa7ywYseOBWD2LNq0atcCiOf2Ldy3HgDQBfAuHt68evfyzasqHuDAggEfAmAYQLzEihcnlgIAAJl4kidTjncGAObMmjdz7rw5HujQokeTHg3gNOrU/6pXs2YtLB7s2LJjjwBg+zbu3Lp1M4nn+zfw3wCGh4hn/Djy5MfdsTrUIwCA6ADiUa9unfohANoBxOvu/Xt3KQAAFIln/jz6eI8AsG/v/j38+O/j0a9v/z7++wD28+/vHyAAgQMJFjQYD2FChQsBNHT4EGLEhwTiVbR40WIkAACOxPP4EeRHLABIljRpMl5KlStTHgLwEkA8mTNpypQCAGc8nTt56mwBAGhQoUOJFjV6FGlSpUuDEon3FGrUqO0AVLV6FWvWqnXidfX69SsAAE7ilTV7tqwLAGvZtnULIF5cuXPjHgJwF0A8vXv56pUCAHA8wYMJC0YHAHFixYsTQ/+K9xhy5HhqAFS2fBlzZs2bOXfuHA90aNGjdzkAcBp1atWoEcRz/Ro27HYVAABIFg93bt3xoAHw/Rt4cAAK4hU3frz4IQDLAcRz/hy6cykAqMeIdx179uuDAHT3/h1893jjyZePBwlAevXr2bd3/x5+fPkA4tW3fx9/fRoA+Pf3DxCAQACC1MU7iDChQgAMAcR7CDHiQ2UAKlq8iBEAu3gcO3rkeAiASADxSpo8WVIKgJUA3MV7CTPmyyUAatq8eRNPvJ08e+4EADSo0KFEixo9ijRpUGTxmjp9CjWq1KlU2wG4etVTvK1cu26lACCs2LFiA8Q7izZtWkUA2gKIBzf/rly4UgDYtfsunt69fPcCAQA4sOAy8QobPmyYAYDFjBs7fgw5suTJlB3Hu4w5s+bNnDtztgYgtGgD5eKZPo36tBUArFuzPsAqnuzZtGvH+wQgN4B4vHv75i0FgPDhUuIZP448ebxosEg5iwc9uvTp8XoAuI49u/bt3Lt7/w6++7t45MubP48+vXryUwC4fw8/nvz59Ovbv4+f/jcA/AHEAxhP4ECC8aQAQJgQIbp4DR0+hBhRIkQAFS1exJhR40aOHT1+TBVP5EiSJU2eNGkMwEqWLVnGgxlT5kyaNOnEw5lTJ04APQHEAxpUKFApAIwePcoi3lKmTZ0+hboUwFSq/1WtXsWaVetWrl2tJhkWT+xYsmXNln23AcBatm3drjXQLt5cunXt3k0GQG88vn398m0AQHA8woUNE5YCQPFixooLmIsXWfJkypXjQasBQPNmzp09fwYdWvRo0qOPmIqXWvVq1qrLFQEQW/Zs2rVlDzAVT/du3rydbQAQXLgmVcWNHy8OQLkq5s2dM9cBQPp06tUB6PgWT/t27tybMQIQXvx48uXNn0efXv169u3dv4cfX/58+vXt38efX/9+/v39AwQgcCDBggYPIkyocCHDhg4fCowncSJFiQAuYsyocSPHjh4/ggwpciTJkiZPokyZMR7Lli5ZAogpcybNmjZv4v/MqXMnz54+fwINKnTozHhGjyI1CmAp06ZOn0KNKnUq1apWr2LNqnUr165N44ENKxYsgLJmz6JNq3Yt27Zu38KNK3cu3bp2756Np3cvX70A/gIOLHgw4cKGDyNOrHgx48aOH0OOHDge5cqWKQPIrHkz586eP4MOLXo06dKmT6NOrXr15niuX8N2DWA27dq2b+POrXs3796+fwMPLnw48eK14yFPrhw5gObOn0OPLn069erWr2PPrn079+7evz+PJ348efEAzqNPr349+/bu36u30Cke/fr27a8KA2A///7+AQIQOJBgQYMHESZUuBBhPIcPITpEAoBiRYsXKcbTuJH/o0YAHz/GEzmSpEgAJwGsiLeSZcuVAGDGlDkTppx4N3HmjGcEQE+fPUPEEzqUaFGjRZEBULqUaVOnT6FGlTqVqtN4V7FmvYoEQFevX8F2jTeWbNmxANCijbeWbdu1AOACWBGPbl27dAHk1buXb1458QAHFhzPCADDh4fFU7yYcWPHjxU/AzCZcmXLlzFn1ryZc+fK8UCHFg0aCQDTp1GnNh2PdWvXrAHEjh2Pdm3btAHkBrAiXm/fv3sDED6ceHHhcuIlV748nhEAzwFMiDedenXr17FfPweAe3fv38GHFz+efHnz3OOlV78+PRIA7+HHl/8+Xn379+sD0K8/Xn///wDjCRwIoCCAFfESKlyYEIDDhxAjOpQTr6LFi/GMANjoLJ7HjyA9+iEAoKRJk4viqVzJciWAlzBjypxJs6bNmzhzAojHs6dPnkgACB1KtKjQeEiTKkUKoGnTeFCjSoUKoCqAFfGyat2aFYDXr2DDepUTr6zZs/GMAFgbr63bt20NAJhLty5dePHy6t0bDwiAv4ADCx5MuLDhw4gTx1vMuPFiJAAiS55MOXK8y5gzXwbAmXO8z6BDfwZAGsCKeKhTq0YNoLXr17Bby4lHu7bteEYAABARr7fv370BCB9OvPireMiTK48HoLnz59CjS59Ovbr16/Gya9+eHQmA7+DDi///Hq+8+fPlAahXH6+9+/ftAcgHsCKe/fv47QPYz7+/f4AAAMiJV9DgwXhGAADgEM/hQ4gPBQCgWNHiRYwZNW7k2NHjR4/xRI4kKRIJAJQpVa5EGc/lS5guAcycGc/mTZw2AewEsCLeT6BBfwIgWtToUaJy4i1l2jSeEQBR402lWtXqVF98DADg2tXrV7BhxY4lW9bsWbDx1K5lqxYJALhx5c6FG8/uXbx2AezdG8/vX8B+AQwGsCLeYcSJDwNg3NjxY8Zy4k2mXDmeEQCZtcTj3NnzZ9Ccx8kJAMD0adSpVa9m3dr1a9iw482mXXs2EgC5de/mnTveb+DBfwMgTjz/3nHkyY8DYA5gRTzo0aVDB1Dd+nXs1eXE497dezwjAMSLzxTP/Hn06dWvjwetAQD48eXPp1/f/n38+fXPj9ffP8B4AgciAWDwIMKEBuMxbOiQIYCIEeNRrGiRIoCMAFbE6+jxY0cAIkeSLClSTryUKlfGMwLgJUwArOLRrGnzJs6cNC8dAODzJ9CgQocSLWr0KFKf8ZYybboUCYCoUqdSjRrvKtasVwFw5RrvK9iwXwGQBbAiHtq0atECaOv2Ldy2fOLRrWs3nhEAevfyBbCgEbR4ggcTLmzY8AAAihczbuz4MeTIkidTjmf5MmbLTQBw7uz5M+d4okeTFg3g9Ol4/6pXs1YN4DWAFfFm0649GwDu3Lp34+4U7zfw4PGMAChu/Dhy4yw8xWvu/Dn06PEAUK9u/Tr27Nq3c+/uPR748OLB4wFg/jz69AC2xGvv/n17APLlx6tv/359APoBlIjnH2A8gQMHAjB4EGFCAA/iNXT4sKERABMpVrR40SKBSvE4dvTocR0AkSNJljR5EmVKlStXxnP5EqbLcABo1rR5EwC4eDt59twJACjQeEOJFh0KACkABPGYNnXKVAcAqVOpVq0UD2tWrViNAPD6FWxYsWMBmEAXD21atWgBtHX7Fm5cuXPp1rVrN15evXv1GgDwF3DgwFTiFTZ82DAAxYrjNf92/LgxAMmS41W2fNkyAM2bOXOmEA90aNGhjQAAEA91atXx2gFw/Rp2bNfxaNe2TRtAbt27eff2/Rt4cOHC78Qzfhz5cXgAmDd3DuBHunjTqVevDgA79njbuXffDgA8+HjjyZcvPwBAevXrASSL9x5+/PhGAACIdx9//vuZAPT3DxCAwIEDOcQ7iDBhvF0AGjp8CDGixIkUK1q8qCyexo0cOZZjAiAkgAE2gsU7iTKlypMAWraMBzOmTJgAatbsEy+nzp08Z1UAA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-    id: '99f83cc6440045ec9f190f4ba9fc289c',
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-    title: 'Chapter 6. Applications of Integration',
-    description:
-      'This chapter covers applications of the integral, including areas between curves, volumes of solids of revolution, and work.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    copyright_holder: 'Rice University',
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-    title: 'Appendix A. Table of Integrals*',
-    description:
-      'This appendix contains a table of integrals that are useful in the study of calculus.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    copyright_holder: 'Rice University',
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-  {
-    id: '045bfdceee474d00a3f9de38c892afea',
-    content_id: 'fada0100b6f354bf8d62032a39861fa8',
-    title: 'Appendix B. Table of Derivatives*',
-    description:
-      'This is a summary of the rules for finding derivatives. It is a companion to the table of integrals in Appendix C.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    copyright_holder: 'Rice University',
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-    title: 'Appendix C. Review of Pre-Calculus*',
-    description:
-      'This appendix is a review of the pre-calculus topics that are important for the study of calculus. The appendix is organized into sections that correspond to the chapters of the text. Each section contains a review of the concept, a self-test for each chapter, and a set of practice problems.',
-    author:
-      'Gilbert Strang, Alfred K. Mulzet, Sheri J. Boyd, Joyati Debnath, Michelle Merriweather et. al.',
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-    license_description: null,
-    copyright_holder: 'Rice University',
-    extra_fields: {},
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-    title: 'Solutions',
-    description: 'This is a collection of solutions to the exercises in the book.',
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',
-    parent: '3e21e2a2858442298f81797ed13eac2d',
-  },
+export const thumbnail = [
+  'data:image/png;base64,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',
 ];
-
-export default contentNodes;
diff --git a/contentcuration/contentcuration/frontend/shared/styles/vuetify.scss b/contentcuration/contentcuration/frontend/shared/styles/vuetify.scss
index f10cadcd10..2383b307ad 100644
--- a/contentcuration/contentcuration/frontend/shared/styles/vuetify.scss
+++ b/contentcuration/contentcuration/frontend/shared/styles/vuetify.scss
@@ -4562,7 +4562,7 @@ p {
   transition-property: box-shadow;
 }
 .v-card--hover:hover {
-  @extend %dropshadow-4dp;
+  @extend %dropshadow-6dp;
 }
 .v-card--hover.v-card--flat:hover {
   @extend %dropshadow-2dp;
diff --git a/package.json b/package.json
index 6e5919ac81..06099ef124 100644
--- a/package.json
+++ b/package.json
@@ -74,7 +74,7 @@
     "jspdf": "https://github.com/parallax/jsPDF.git#b7a1d8239c596292ce86dafa77f05987bcfa2e6e",
     "jszip": "^3.10.1",
     "kolibri-constants": "^0.2.0",
-    "kolibri-design-system": "5.0.0-rc9",
+    "kolibri-design-system": "5.0.0-rc10",
     "lodash": "^4.17.21",
     "material-icons": "0.3.1",
     "mutex-js": "^1.1.5",
diff --git a/yarn.lock b/yarn.lock
index 42e4dbd10a..0891371bdd 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -9399,10 +9399,10 @@ kolibri-constants@^0.2.0:
   resolved "https://registry.yarnpkg.com/kolibri-constants/-/kolibri-constants-0.2.5.tgz#2b9df4c477119d0ade2d66bf8aef8a4172f0418f"
   integrity sha512-ZoFZ83xgteZhFZtYjiOmITcZeSF+X42i12TOo87zmcdA78jj0dZbPYB+ttO855UxoKY8h4HHeDVZIUkE5TGa5g==
 
-kolibri-design-system@5.0.0-rc9:
-  version "5.0.0-rc9"
-  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc9.tgz#ee17c0bc230f4f8406e60b3b342de70987180893"
-  integrity sha512-KerRkQY9C98A+R1mPM+umzsA/bupDjNI/p0d54K6/CDPHueX6vuO2xWkH4/5wMzbO9dv1UkiMJ9hm3XxD7/Lmw==
+kolibri-design-system@5.0.0-rc10:
+  version "5.0.0-rc10"
+  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc10.tgz#8c92a1b097878a2a8e2f67cda76771914f77b7b8"
+  integrity sha512-Dkk5D5PunIm+qPsIMmgo06rjA0BkPZOOpeABuPgZmtpXcFwhpAP07VrLs0LhvFBdSFri3aJDXj/kj7HskXLhWg==
   dependencies:
     "@vue/composition-api" "1.7.2"
     aphrodite "https://github.com/learningequality/aphrodite/"

From 7e98efc74ab3cc6439c2637f4f347b720f80e74a Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Dec 2024 07:30:08 +0300
Subject: [PATCH 19/41] Refactors code

---
 .../components/RecommendedResourceCard.vue    |  16 +--
 .../SearchOrBrowseWindow.vue                  | 122 ++++++++++--------
 yarn.lock                                     |   8 +-
 3 files changed, 80 insertions(+), 66 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 830304ac38..0e95b979e1 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -15,7 +15,7 @@
         :inputValue="isSelected(node)"
         @input="toggleSelected(node)"
       >
-        <span class="visually-hidden">Select '{{ node.title }}'</span>
+        <span class="visuallyhidden">Select '{{ node.title }}'</span>
       </Checkbox>
     </template>
     <template #aboveTitle>
@@ -97,20 +97,14 @@
 
 
 <style>
-  .visually-hidden{
+  .visuallyhidden {
     position: absolute;
     width: 1px;
     height: 1px;
-    margin: -1px;
-    border: 0;
     padding: 0;
-
-    white-space: nowrap;
-    clip-path: inset(100%);
-    clip: rect(0 0 0 0);
+    margin: -1px;
     overflow: hidden;
-
-    outline: 0;
-    outline-offset: 0;
+    clip: rect(0 0 0 0);
+    border: 0;
   }
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index a825a165a2..a341395203 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -130,11 +130,11 @@
           </div>
           <div v-else-if="recommendationsLoadingError">
             <p class="pb-0 pt-4 px-2">
-              {{ tryAgainLink$() }}
+              {{ loadMoreRecommendationsText.description }}
             </p>
             <div class="my-3 px-2">
               <ActionLink
-                :text="problemShowingResourcesMessage$()"
+                :text="loadMoreRecommendationsText.link"
                 @click="handleViewMoreRecommendations"
               />
             </div>
@@ -243,6 +243,10 @@
         recommendationsPageSize: 2,
         recommendationsCurrentIndex: 0,
         recommendationsBelowThreshold: false,
+        showNoDirectMatches: false,
+        showShowOtherResources: false,
+        showViewMoreRecommendations: false,
+        otherRecommendationsLoaded: false,
       };
     },
     computed: {
@@ -274,15 +278,20 @@
         let link = null;
         let description = null;
 
-        if (this.showNoDirectMatches) {
-          link = this.showOtherRecommendationsLink$();
-          description = this.noDirectMatchesMessage$();
-        } else if (this.showViewMoreRecommendations) {
-          link = this.viewMoreLink$();
-          description = null;
-        } else if (!this.recommendationsBelowThreshold || this.showShowOtherResources2) {
-          link = this.showOtherResourcesLink$();
-          description = this.showOtherResourcesMessage$();
+        if (!this.recommendationsLoadingError) {
+          if (this.showNoDirectMatches) {
+            link = this.showOtherRecommendationsLink$();
+            description = this.noDirectMatchesMessage$();
+          } else if (this.showViewMoreRecommendations) {
+            link = this.viewMoreLink$();
+            description = null;
+          } else if (this.showShowOtherResources) {
+            link = this.showOtherResourcesLink$();
+            description = this.showOtherResourcesMessage$();
+          }
+        } else {
+          link = this.tryAgainLink$();
+          description = this.problemShowingResourcesMessage$();
         }
 
         return {
@@ -290,20 +299,11 @@
           description,
         };
       },
-      showNoDirectMatches() {
-        return this.recommendations.length === 0 && !this.recommendationsBelowThreshold;
-      },
-      showViewMoreRecommendations() {
-        return this.recommendationsCurrentIndex < this.recommendations.length;
-      },
-      showShowOtherResources() {
-        const currentIndex = this.recommendationsCurrentIndex;
-        const totalCount = this.recommendations.length + this.otherRecommendations.length;
-        return currentIndex >= totalCount;
-      },
-      showShowOtherResources2() {
-        const currentIndex = this.recommendationsCurrentIndex;
-        return this.otherRecommendations.length > currentIndex - this.recommendations.length;
+      shouldLoadOtherRecommendations() {
+        return (
+          (this.showNoDirectMatches || this.showShowOtherResources) &&
+          !this.otherRecommendationsLoaded
+        );
       },
     },
     beforeRouteEnter(to, from, next) {
@@ -396,24 +396,31 @@
         this.showAboutRecommendations = false;
       },
       handleViewMoreRecommendations() {
-        const pageSize = this.recommendationsPageSize;
-        const currentIndex = this.recommendationsCurrentIndex;
-        if (this.showNoDirectMatches) {
-          this.loadRecommendations(true);
-        } else if (this.showViewMoreRecommendations) {
+        if (!this.recommendationsLoadingError) {
+          const pageSize = this.recommendationsPageSize;
+          const currentIndex = this.recommendationsCurrentIndex;
           const nextIndex = currentIndex + pageSize;
-          this.displayedRecommendations = this.recommendations.slice(0, nextIndex);
-          this.recommendationsCurrentIndex = nextIndex;
-        } else if (!this.recommendationsBelowThreshold || this.showShowOtherResources) {
-          this.loadRecommendations(true);
+          if (this.showViewMoreRecommendations) {
+            this.displayedRecommendations = this.recommendations.slice(0, nextIndex);
+            this.recommendationsCurrentIndex = nextIndex;
+            this.showViewMoreRecommendations = nextIndex < this.recommendations.length;
+          } else if (this.shouldLoadOtherRecommendations) {
+            this.loadRecommendations(true);
+          } else {
+            this.displayedRecommendations = [
+              ...this.recommendations,
+              ...this.otherRecommendations.slice(0, nextIndex),
+            ];
+            this.recommendationsCurrentIndex = nextIndex;
+            if (this.showNoDirectMatches) {
+              this.showNoDirectMatches = this.displayedRecommendations.length < nextIndex;
+            }
+            if (this.showShowOtherResources) {
+              this.showShowOtherResources = this.displayedRecommendations.length < nextIndex;
+            }
+          }
         } else {
-          const tempIndex = currentIndex + pageSize;
-          const totalCount = this.recommendations.length + this.otherRecommendations.length;
-          const nextIndex = tempIndex <= totalCount ? tempIndex : totalCount;
-          this.displayedRecommendations = this.recommendations.concat(
-            this.otherRecommendations.slice(0, nextIndex - this.recommendations.length)
-          );
-          this.recommendationsCurrentIndex = nextIndex;
+          this.loadRecommendations(this.recommendationsBelowThreshold);
         }
       },
       async loadRecommendations(belowThreshold = false) {
@@ -424,20 +431,33 @@
             return await this.fetchRecommendedNodes(recommendations).then(nodes => {
               const recommendations = nodes.filter(Boolean);
               const pageSize = this.recommendationsPageSize;
+              const currentIndex = this.recommendationsCurrentIndex;
 
-              if (!belowThreshold) {
+              if (belowThreshold) {
+                this.otherRecommendations = recommendations;
+                this.displayedRecommendations = [
+                  ...this.recommendations,
+                  ...this.otherRecommendations.slice(0, pageSize),
+                ];
+                this.recommendationsCurrentIndex = currentIndex + pageSize;
+
+                const isEmpty = this.otherRecommendations.length === 0;
+                if (this.showNoDirectMatches) {
+                  this.showNoDirectMatches = !isEmpty;
+                }
+                if (this.showShowOtherResources) {
+                  this.showShowOtherResources = !isEmpty;
+                }
+                this.otherRecommendationsLoaded = true;
+              } else {
                 this.recommendations = recommendations;
                 this.displayedRecommendations = this.recommendations.slice(0, pageSize);
                 this.recommendationsCurrentIndex = pageSize;
-              } else if (recommendations.length) {
-                this.otherRecommendations.push(...recommendations);
-                this.displayedRecommendations = this.recommendations.concat(
-                  this.otherRecommendations.slice(
-                    0,
-                    this.recommendationsCurrentIndex + pageSize - this.recommendations.length
-                  )
-                );
-                this.recommendationsCurrentIndex += pageSize;
+
+                const count = this.recommendations.length;
+                this.showNoDirectMatches = count === 0;
+                this.showShowOtherResources = count > pageSize;
+                this.showViewMoreRecommendations = currentIndex < count;
               }
               this.recommendationsBelowThreshold = belowThreshold;
               this.recommendationsLoading = false;
diff --git a/yarn.lock b/yarn.lock
index 0891371bdd..d43e6ea4df 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -3494,17 +3494,17 @@ anymatch@^3.0.3, anymatch@~3.1.2:
     normalize-path "^3.0.0"
     picomatch "^2.0.4"
 
-"aphrodite@git+https://github.com/learningequality/aphrodite.git":
+"aphrodite@https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  resolved "git+https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
     string-hash "^1.1.3"
 
-"aphrodite@https://github.com/learningequality/aphrodite.git":
+"aphrodite@https://github.com/learningequality/aphrodite/":
   version "2.2.3"
-  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "https://github.com/learningequality/aphrodite/#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"

From e4e2eeb1ed71d6ac8a5ec2816343ef14eb9406bf Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Dec 2024 19:27:58 +0300
Subject: [PATCH 20/41] More code refators and logic fixes

---
 .../ImportFromChannels/SearchOrBrowseWindow.vue   | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index a341395203..6a2122203a 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -240,7 +240,7 @@
         displayedRecommendations: [],
         recommendationsLoading: false,
         recommendationsLoadingError: false,
-        recommendationsPageSize: 2,
+        recommendationsPageSize: 1,
         recommendationsCurrentIndex: 0,
         recommendationsBelowThreshold: false,
         showNoDirectMatches: false,
@@ -305,6 +305,11 @@
           !this.otherRecommendationsLoaded
         );
       },
+      moreRecommendationsAvailable() {
+        const displayCount = this.displayedRecommendations.length;
+        const totalCount = this.recommendations.length + this.otherRecommendations.length;
+        return displayCount < totalCount;
+      },
     },
     beforeRouteEnter(to, from, next) {
       next(vm => {
@@ -403,20 +408,20 @@
           if (this.showViewMoreRecommendations) {
             this.displayedRecommendations = this.recommendations.slice(0, nextIndex);
             this.recommendationsCurrentIndex = nextIndex;
-            this.showViewMoreRecommendations = nextIndex < this.recommendations.length;
+            this.showViewMoreRecommendations = this.moreRecommendationsAvailable;
           } else if (this.shouldLoadOtherRecommendations) {
             this.loadRecommendations(true);
           } else {
             this.displayedRecommendations = [
               ...this.recommendations,
-              ...this.otherRecommendations.slice(0, nextIndex),
+              ...this.otherRecommendations.slice(0, nextIndex - this.recommendations.length),
             ];
             this.recommendationsCurrentIndex = nextIndex;
             if (this.showNoDirectMatches) {
-              this.showNoDirectMatches = this.displayedRecommendations.length < nextIndex;
+              this.showNoDirectMatches = this.moreRecommendationsAvailable;
             }
             if (this.showShowOtherResources) {
-              this.showShowOtherResources = this.displayedRecommendations.length < nextIndex;
+              this.showShowOtherResources = this.moreRecommendationsAvailable;
             }
           }
         } else {

From 4ce58846c0f6cc976023c2f934d48a85c7f625ee Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 3 Dec 2024 20:48:51 +0300
Subject: [PATCH 21/41] code clean-up

---
 .../views/ImportFromChannels/SearchOrBrowseWindow.vue | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 6a2122203a..927fa5fc7f 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -466,22 +466,11 @@
               }
               this.recommendationsBelowThreshold = belowThreshold;
               this.recommendationsLoading = false;
-
-              return {
-                belowThreshold,
-                recommendations,
-              };
             });
           });
         } catch (error) {
           this.recommendationsLoading = false;
           this.recommendationsLoadingError = true;
-
-          return {
-            error,
-            belowThreshold,
-            recommendations: [],
-          };
         }
       },
       // eslint-disable-next-line no-unused-vars

From 95a1b5254b76d3d8eb01daf19f5cf8f7beee2ec6 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Wed, 4 Dec 2024 07:50:41 +0300
Subject: [PATCH 22/41] adds ai flag check on UI and fetch

---
 .../SearchOrBrowseWindow.vue                  | 82 ++++++++++---------
 1 file changed, 43 insertions(+), 39 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 927fa5fc7f..d4e1afafed 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -21,7 +21,7 @@
 
         <!-- Main panel >= 800px -->
         <KGridItem
-          :layout12="{ span: layoutFitsTwoColumns ? 8 : 12 }"
+          :layout12="{ span: isAIFeatureEnabled ? layoutFitsTwoColumns ? 8 : 12 : 12 }"
           :layout8="{ span: 8 }"
           :layout4="{ span: 4 }"
         >
@@ -88,6 +88,7 @@
 
         <!-- Recommended resources panel >= 400px -->
         <KGridItem
+          v-if="isAIFeatureEnabled"
           :layout12="{ span: layoutFitsTwoColumns ? 4 : 12 }"
           :layout8="{ span: 8 }"
           :layout4="{ span: 4 }"
@@ -251,6 +252,7 @@
     },
     computed: {
       ...mapGetters('importFromChannels', ['savedSearchesExist']),
+      ...mapGetters(['isAIFeatureEnabled']),
       ...mapState('importFromChannels', ['selected']),
       ...mapState('currentChannel', ['currentChannelId']),
       isBrowsing() {
@@ -429,48 +431,50 @@
         }
       },
       async loadRecommendations(belowThreshold = false) {
-        this.recommendationsLoading = true;
-        this.recommendationsLoadingError = false;
-        try {
-          return this.fetchRecommendations(belowThreshold).then(async recommendations => {
-            return await this.fetchRecommendedNodes(recommendations).then(nodes => {
-              const recommendations = nodes.filter(Boolean);
-              const pageSize = this.recommendationsPageSize;
-              const currentIndex = this.recommendationsCurrentIndex;
+        if (this.isAIFeatureEnabled) {
+          this.recommendationsLoading = true;
+          this.recommendationsLoadingError = false;
+          try {
+            return this.fetchRecommendations(belowThreshold).then(async recommendations => {
+              return await this.fetchRecommendedNodes(recommendations).then(nodes => {
+                const recommendations = nodes.filter(Boolean);
+                const pageSize = this.recommendationsPageSize;
+                const currentIndex = this.recommendationsCurrentIndex;
 
-              if (belowThreshold) {
-                this.otherRecommendations = recommendations;
-                this.displayedRecommendations = [
-                  ...this.recommendations,
-                  ...this.otherRecommendations.slice(0, pageSize),
-                ];
-                this.recommendationsCurrentIndex = currentIndex + pageSize;
+                if (belowThreshold) {
+                  this.otherRecommendations = recommendations;
+                  this.displayedRecommendations = [
+                    ...this.recommendations,
+                    ...this.otherRecommendations.slice(0, pageSize),
+                  ];
+                  this.recommendationsCurrentIndex = currentIndex + pageSize;
 
-                const isEmpty = this.otherRecommendations.length === 0;
-                if (this.showNoDirectMatches) {
-                  this.showNoDirectMatches = !isEmpty;
-                }
-                if (this.showShowOtherResources) {
-                  this.showShowOtherResources = !isEmpty;
-                }
-                this.otherRecommendationsLoaded = true;
-              } else {
-                this.recommendations = recommendations;
-                this.displayedRecommendations = this.recommendations.slice(0, pageSize);
-                this.recommendationsCurrentIndex = pageSize;
+                  const isEmpty = this.otherRecommendations.length === 0;
+                  if (this.showNoDirectMatches) {
+                    this.showNoDirectMatches = !isEmpty;
+                  }
+                  if (this.showShowOtherResources) {
+                    this.showShowOtherResources = !isEmpty;
+                  }
+                  this.otherRecommendationsLoaded = true;
+                } else {
+                  this.recommendations = recommendations;
+                  this.displayedRecommendations = this.recommendations.slice(0, pageSize);
+                  this.recommendationsCurrentIndex = pageSize;
 
-                const count = this.recommendations.length;
-                this.showNoDirectMatches = count === 0;
-                this.showShowOtherResources = count > pageSize;
-                this.showViewMoreRecommendations = currentIndex < count;
-              }
-              this.recommendationsBelowThreshold = belowThreshold;
-              this.recommendationsLoading = false;
+                  const count = this.recommendations.length;
+                  this.showNoDirectMatches = count === 0;
+                  this.showShowOtherResources = count > pageSize;
+                  this.showViewMoreRecommendations = currentIndex < count;
+                }
+                this.recommendationsBelowThreshold = belowThreshold;
+                this.recommendationsLoading = false;
+              });
             });
-          });
-        } catch (error) {
-          this.recommendationsLoading = false;
-          this.recommendationsLoadingError = true;
+          } catch (error) {
+            this.recommendationsLoading = false;
+            this.recommendationsLoadingError = true;
+          }
         }
       },
       // eslint-disable-next-line no-unused-vars

From 9f8de26ef9070431f237d2d834e4d096f3fc62b9 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Thu, 5 Dec 2024 01:59:20 +0300
Subject: [PATCH 23/41] minor UI fixes

---
 .../components/RecommendedResourceCard.vue      | 11 +++++++++++
 .../ImportFromChannels/SearchOrBrowseWindow.vue | 17 +++++++++++++++--
 yarn.lock                                       |  9 +++++----
 3 files changed, 31 insertions(+), 6 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 0e95b979e1..4e7e7f38c0 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -18,6 +18,13 @@
         <span class="visuallyhidden">Select '{{ node.title }}'</span>
       </Checkbox>
     </template>
+    <template #title="{ titleText }">
+      <KTextTruncator
+        :text="titleText"
+        :maxLines="2"
+        class="custom-title"
+      />
+    </template>
     <template #aboveTitle>
       <ContentNodeLearningActivityIcon
         :learningActivities="learningActivities"
@@ -107,4 +114,8 @@
     clip: rect(0 0 0 0);
     border: 0;
   }
+  .custom-title {
+    font-weight: bold;
+    line-height: 1.5; /* Temporary fix for the title text truncation */
+  }
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index d4e1afafed..53afbe5036 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -3,7 +3,7 @@
   <ImportFromChannelsModal>
     <template #default="{ preview }">
 
-      <KGrid style="width: 1200px;">
+      <KGrid :class="$computedClass(browseWindowStyle)">
 
         <!-- Back to browse button -->
         <KGridItem
@@ -21,7 +21,7 @@
 
         <!-- Main panel >= 800px -->
         <KGridItem
-          :layout12="{ span: isAIFeatureEnabled ? layoutFitsTwoColumns ? 8 : 12 : 12 }"
+          :layout12="{ span: isAIFeatureEnabled && layoutFitsTwoColumns ? 8 : 12 }"
           :layout8="{ span: 8 }"
           :layout4="{ span: 4 }"
         >
@@ -312,6 +312,11 @@
         const totalCount = this.recommendations.length + this.otherRecommendations.length;
         return displayCount < totalCount;
       },
+      browseWindowStyle() {
+        return {
+          width: this.isAIFeatureEnabled ? '1200px' : '800px',
+        };
+      },
     },
     beforeRouteEnter(to, from, next) {
       next(vm => {
@@ -566,4 +571,12 @@
     margin-top: 24px;
   }
 
+  .ai-browse-window {
+    width: 1200px;
+  }
+
+  .non-ai-browse-window {
+    width: 1000px;
+  }
+
 </style>
diff --git a/yarn.lock b/yarn.lock
index d35f4db204..76d5cd1968 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -3494,17 +3494,17 @@ anymatch@^3.0.3, anymatch@~3.1.2:
     normalize-path "^3.0.0"
     picomatch "^2.0.4"
 
-"aphrodite@git+https://github.com/learningequality/aphrodite.git":
+"aphrodite@https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  resolved "git+https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
     string-hash "^1.1.3"
 
-"aphrodite@https://github.com/learningequality/aphrodite.git":
+"aphrodite@https://github.com/learningequality/aphrodite/":
   version "2.2.3"
-  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "https://github.com/learningequality/aphrodite/#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
@@ -14614,6 +14614,7 @@ workbox-window@7.0.0, workbox-window@^7.0.0:
     workbox-core "7.0.0"
 
 "wrap-ansi-cjs@npm:wrap-ansi@^7.0.0", wrap-ansi@^7.0.0:
+  name wrap-ansi-cjs
   version "7.0.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
   integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==

From 596e1099f238e8001d898ffa32faea437ebda278 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Thu, 5 Dec 2024 19:20:19 +0300
Subject: [PATCH 24/41] further UI improvements

---
 .../components/RecommendedResourceCard.vue    | 16 ++-----
 .../SearchOrBrowseWindow.vue                  | 42 ++++++++++---------
 2 files changed, 26 insertions(+), 32 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 4e7e7f38c0..3135ef74cc 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -18,13 +18,6 @@
         <span class="visuallyhidden">Select '{{ node.title }}'</span>
       </Checkbox>
     </template>
-    <template #title="{ titleText }">
-      <KTextTruncator
-        :text="titleText"
-        :maxLines="2"
-        class="custom-title"
-      />
-    </template>
     <template #aboveTitle>
       <ContentNodeLearningActivityIcon
         :learningActivities="learningActivities"
@@ -36,7 +29,7 @@
     <template #belowTitle>
       <div>
         <KTextTruncator
-          :text="node.original_channel_name"
+          :text="channelName"
           :maxLines="2"
         />
       </div>
@@ -79,6 +72,9 @@
       },
     },
     computed: {
+      channelName() {
+        return this.node.channel?.name || '';
+      },
       learningActivities() {
         return {
           [ContentKindLearningActivityDefaults[this.node.kind] || LearningActivities.EXPLORE]: true,
@@ -114,8 +110,4 @@
     clip: rect(0 0 0 0);
     border: 0;
   }
-  .custom-title {
-    font-weight: bold;
-    line-height: 1.5; /* Temporary fix for the title text truncation */
-  }
 </style>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 53afbe5036..931ae5f4fe 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -341,6 +341,7 @@
       this.loadRecommendations();
     },
     methods: {
+      ...mapActions('channel', ['loadChannel']),
       ...mapActions('clipboard', ['copy']),
       ...mapActions('contentNode', ['loadPublicContentNode']),
       ...mapActions('importFromChannels', ['fetchResourceSearchResults']),
@@ -484,9 +485,9 @@
       },
       // eslint-disable-next-line no-unused-vars
       async fetchRecommendations(belowThreshold) {
-        // This is a placeholder for the actual recommendation logic that interacts with
-        // the recommender models based on current context. For now, we just load all the
-        // first 25 public nodes for visual testing purposes.
+        // This is a placeholder for the api call that interacts with
+        // the recommender models based on current context. For now, we just
+        // load all local public nodes for visual testing purposes.
         return this.fetchResourceSearchResults({
           page_size: 25,
           exclude_channel: this.currentChannelId,
@@ -507,23 +508,24 @@
       async fetchRecommendedNodes(recommendations) {
         return await Promise.all(
           recommendations.map(async recommendation => {
-            // This call is cached, so we don't need to worry about multiple calls.
-            return await this.loadPublicContentNode({
-              id: recommendation.id,
-              nodeId: recommendation.node_id,
-              rootId: recommendation.main_tree_id,
-              parent: recommendation.parent_id,
-            }).then(node => {
-              // This is temporary and for visual testing purposes only.
-              // We need to get the channel name and thumbnail from the API.
-              return (
-                {
-                  ...node,
-                  original_channel_name: 'Sample Channel',
-                  thumbnail_src: thumbnail[0],
-                } || null
-              );
-            });
+            try {
+              // loadPublicContentNode is cached, so multiple calls shouldn't be an issue.
+              const node = await this.loadPublicContentNode({
+                id: recommendation.id,
+                nodeId: recommendation.node_id,
+                rootId: recommendation.main_tree_id,
+                parent: recommendation.parent_id,
+              });
+              const channel = await this.loadChannel(node.channel_id);
+
+              return {
+                ...node,
+                thumbnail_src: thumbnail[0], //Temporal. For visual testing of KCard thumbnail only.
+                channel,
+              };
+            } catch {
+              return null;
+            }
           })
         ).then(nodes => nodes.filter(Boolean));
       },

From 7574c061c4c1bc7e2dbb5179907d893edeb6f784 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 9 Dec 2024 22:11:30 +0300
Subject: [PATCH 25/41] UI fixes

---
 .../components/RecommendedResourceCard.vue    |  7 +++--
 .../SearchOrBrowseWindow.vue                  | 31 +++++++++++++++++--
 2 files changed, 33 insertions(+), 5 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 3135ef74cc..2f3e9d968e 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -2,7 +2,7 @@
 
   <KCard
     :title="node.title"
-    :headingLevel="2"
+    :headingLevel="1"
     thumbnailScaleType="contain"
     thumbnailDisplay="small"
     thumbnailAlign="right"
@@ -15,7 +15,7 @@
         :inputValue="isSelected(node)"
         @input="toggleSelected(node)"
       >
-        <span class="visuallyhidden">Select '{{ node.title }}'</span>
+        <span class="visuallyhidden">{{ $tr('selectCard', { title: node.title }) }}</span>
       </Checkbox>
     </template>
     <template #aboveTitle>
@@ -94,6 +94,9 @@
         this.$emit('preview', this.node);
       },
     },
+    $trs: {
+      selectCard: 'Select { title }',
+    },
   };
 
 </script>
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 931ae5f4fe..f983a4746b 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -72,7 +72,7 @@
             ref="contentTreeList"
             :topicNode="topicNode"
             :selected.sync="selected"
-            :topicId="$route.params.nodeId"
+            :topicId="topicId"
             @preview="preview($event)"
             @change_selected="handleChangeSelected"
             @copy_to_clipboard="handleCopyToClipboard"
@@ -94,7 +94,7 @@
           :layout4="{ span: 4 }"
         >
           <h3 class="pb-2 pt-0 px-2">
-            {{ resourcesMightBeRelevantTitle$({ topic: 'Basic Addition' }) }}
+            {{ recommendationsSectionTitle }}
           </h3>
           <div class="my-3 px-2">
             <ActionLink
@@ -205,6 +205,7 @@
         resourcesMightBeRelevantTitle$,
         problemShowingResourcesMessage$,
         aboutRecommendationsDescription$,
+        resourcesInChannelMightBeRelevantTitle$,
         aboutRecommendationsFeedbackDescription$,
       } = searchRecommendationsStrings;
 
@@ -224,6 +225,7 @@
         resourcesMightBeRelevantTitle$,
         problemShowingResourcesMessage$,
         aboutRecommendationsDescription$,
+        resourcesInChannelMightBeRelevantTitle$,
         aboutRecommendationsFeedbackDescription$,
         layoutFitsTwoColumns,
       };
@@ -235,6 +237,7 @@
         copyNode: null,
         languageFromChannelList: null,
         showSavedSearches: false,
+        importDestination: '',
         showAboutRecommendations: false,
         recommendations: [],
         otherRecommendations: [],
@@ -253,6 +256,7 @@
     computed: {
       ...mapGetters('importFromChannels', ['savedSearchesExist']),
       ...mapGetters(['isAIFeatureEnabled']),
+      ...mapGetters('contentNode', ['getContentNodeAncestors']),
       ...mapState('importFromChannels', ['selected']),
       ...mapState('currentChannel', ['currentChannelId']),
       isBrowsing() {
@@ -317,6 +321,24 @@
           width: this.isAIFeatureEnabled ? '1200px' : '800px',
         };
       },
+      firstAncestor() {
+        const ancestors = this.getContentNodeAncestors(this.topicId, true);
+        return ancestors?.[0] ?? null;
+      },
+      topicId() {
+        return this.$route.params.nodeId;
+      },
+      recommendationsSectionTitle() {
+        if (this.firstAncestor) {
+          return this.resourcesInChannelMightBeRelevantTitle$({
+            channelName: this.firstAncestor?.title,
+            topic: this.importDestination,
+          });
+        }
+        return this.resourcesMightBeRelevantTitle$({
+          topic: this.importDestination,
+        });
+      },
     },
     beforeRouteEnter(to, from, next) {
       next(vm => {
@@ -339,11 +361,14 @@
     mounted() {
       this.searchTerm = this.$route.params.searchTerm || '';
       this.loadRecommendations();
+      this.loadContentNode(this.$route.params.destNodeId).then(node => {
+        this.importDestination = node?.title || '';
+      });
     },
     methods: {
       ...mapActions('channel', ['loadChannel']),
       ...mapActions('clipboard', ['copy']),
-      ...mapActions('contentNode', ['loadPublicContentNode']),
+      ...mapActions('contentNode', ['loadContentNode', 'loadPublicContentNode']),
       ...mapActions('importFromChannels', ['fetchResourceSearchResults']),
       ...mapMutations('importFromChannels', {
         selectNodes: 'SELECT_NODES',

From c6e3a0cb2d6c318bce2a8a9a9ef5bd8c58b22a75 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 10 Dec 2024 18:18:40 +0300
Subject: [PATCH 26/41] additional UI fixes

---
 .../components/RecommendedResourceCard.vue          |  2 +-
 .../ImportFromChannels/SearchOrBrowseWindow.vue     | 13 ++++++++-----
 2 files changed, 9 insertions(+), 6 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 2f3e9d968e..78bde4a2d3 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -2,7 +2,7 @@
 
   <KCard
     :title="node.title"
-    :headingLevel="1"
+    :headingLevel="2"
     thumbnailScaleType="contain"
     thumbnailDisplay="small"
     thumbnailAlign="right"
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index f983a4746b..48cfda22ad 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -237,7 +237,7 @@
         copyNode: null,
         languageFromChannelList: null,
         showSavedSearches: false,
-        importDestination: '',
+        importDestinationAncestors: [],
         showAboutRecommendations: false,
         recommendations: [],
         otherRecommendations: [],
@@ -339,6 +339,9 @@
           topic: this.importDestination,
         });
       },
+      importDestination() {
+        return this.importDestinationAncestors.slice(-1)[0]?.title || '';
+      },
     },
     beforeRouteEnter(to, from, next) {
       next(vm => {
@@ -360,15 +363,15 @@
     },
     mounted() {
       this.searchTerm = this.$route.params.searchTerm || '';
-      this.loadRecommendations();
-      this.loadContentNode(this.$route.params.destNodeId).then(node => {
-        this.importDestination = node?.title || '';
+      this.loadAncestors({ id: this.$route.params.destNodeId }).then(ancestors => {
+        this.importDestinationAncestors = ancestors;
+        this.loadRecommendations();
       });
     },
     methods: {
       ...mapActions('channel', ['loadChannel']),
       ...mapActions('clipboard', ['copy']),
-      ...mapActions('contentNode', ['loadContentNode', 'loadPublicContentNode']),
+      ...mapActions('contentNode', ['loadAncestors', 'loadPublicContentNode']),
       ...mapActions('importFromChannels', ['fetchResourceSearchResults']),
       ...mapMutations('importFromChannels', {
         selectNodes: 'SELECT_NODES',

From 75df3656d1c14b2e1b798a55b80033b66c1d5dae Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Wed, 11 Dec 2024 14:57:58 +0300
Subject: [PATCH 27/41] Updates kds to latest version

---
 package.json |  2 +-
 yarn.lock    | 93 ++++++++++++++++++++++++++++++++++++++++++++++------
 2 files changed, 84 insertions(+), 11 deletions(-)

diff --git a/package.json b/package.json
index c5a758f5b7..d2ac1996dd 100644
--- a/package.json
+++ b/package.json
@@ -74,7 +74,7 @@
     "jspdf": "https://github.com/parallax/jsPDF.git#b7a1d8239c596292ce86dafa77f05987bcfa2e6e",
     "jszip": "^3.10.1",
     "kolibri-constants": "^0.2.0",
-    "kolibri-design-system": "^5.0.0-rc10",
+    "kolibri-design-system": "^5.0.0-rc11",
     "lodash": "^4.17.21",
     "material-icons": "0.3.1",
     "mutex-js": "^1.1.5",
diff --git a/yarn.lock b/yarn.lock
index 76d5cd1968..9ec4c215d5 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -459,6 +459,11 @@
   resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.21.5.tgz#2b3eea65443c6bdc31c22d037c65f6d323b6b2bd"
   integrity sha512-5pTUx3hAJaZIdW99sJ6ZUUgWq/Y+Hja7TowEnLNMm1VivRgZQL3vpBY3qUACVsvw+yQU6+YgfBVmcbLaZtrA1w==
 
+"@babel/helper-string-parser@^7.25.9":
+  version "7.25.9"
+  resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz#1aabb72ee72ed35789b4bbcad3ca2862ce614e8c"
+  integrity sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==
+
 "@babel/helper-validator-identifier@^7.16.7":
   version "7.16.7"
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.16.7.tgz#e8c602438c4a8195751243da9031d1607d247cad"
@@ -469,6 +474,11 @@
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.19.1.tgz#7eea834cf32901ffdc1a7ee555e2f9c27e249ca2"
   integrity sha512-awrNfaMtnHUr653GgGEs++LlAvW6w+DcPrOliSMXWCKo597CwL5Acf/wWdNkf/tfEQE3mjkeD1YOVZOUV/od1w==
 
+"@babel/helper-validator-identifier@^7.25.9":
+  version "7.25.9"
+  resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz#24b64e2c3ec7cd3b3c547729b8d16871f22cbdc7"
+  integrity sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==
+
 "@babel/helper-validator-option@^7.16.7":
   version "7.16.7"
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.16.7.tgz#b203ce62ce5fe153899b617c08957de860de4d23"
@@ -545,6 +555,13 @@
   resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.21.8.tgz#642af7d0333eab9c0ad70b14ac5e76dbde7bfdf8"
   integrity sha512-6zavDGdzG3gUqAdWvlLFfk+36RilI+Pwyuuh7HItyeScCWP3k6i8vKclAQ0bM/0y/Kz/xiwvxhMv9MgTJP5gmA==
 
+"@babel/parser@^7.23.5":
+  version "7.26.3"
+  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.26.3.tgz#8c51c5db6ddf08134af1ddbacf16aaab48bac234"
+  integrity sha512-WJ/CvmY8Mea8iDXo6a7RK2wbmJITT5fN3BEkRuFlxVyNx8jOKIIhmC4fSkTcPcf8JyavbBwIe6OpiCOBXt/IcA==
+  dependencies:
+    "@babel/types" "^7.26.3"
+
 "@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression@^7.17.12":
   version "7.17.12"
   resolved "https://registry.yarnpkg.com/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression/-/plugin-bugfix-safari-id-destructuring-collision-in-function-expression-7.17.12.tgz#1dca338caaefca368639c9ffb095afbd4d420b1e"
@@ -1742,6 +1759,14 @@
     "@babel/helper-validator-identifier" "^7.19.1"
     to-fast-properties "^2.0.0"
 
+"@babel/types@^7.26.3":
+  version "7.26.3"
+  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.26.3.tgz#37e79830f04c2b5687acc77db97fbc75fb81f3c0"
+  integrity sha512-vN5p+1kl59GVKMvTHt55NzzmYVxprfJD+ql7U9NFIfKCBkYE55LYtS+WtPlaYOyzydrKI8Nezd+aZextrd+FMA==
+  dependencies:
+    "@babel/helper-string-parser" "^7.25.9"
+    "@babel/helper-validator-identifier" "^7.25.9"
+
 "@bcoe/v8-coverage@^0.2.3":
   version "0.2.3"
   resolved "https://registry.yarnpkg.com/@bcoe/v8-coverage/-/v8-coverage-0.2.3.tgz#75a2e8b51cb758a7553d6804a5932d7aace75c39"
@@ -3050,6 +3075,17 @@
     semver "^7.3.2"
     tsutils "^3.17.1"
 
+"@vue/compiler-sfc@2.7.16":
+  version "2.7.16"
+  resolved "https://registry.yarnpkg.com/@vue/compiler-sfc/-/compiler-sfc-2.7.16.tgz#ff81711a0fac9c68683d8bb00b63f857de77dc83"
+  integrity sha512-KWhJ9k5nXuNtygPU7+t1rX6baZeqOYLEforUPjgNDBnLicfHCoi48H87Q8XyLZOrNNsmhuwKqtpDQWjEFe6Ekg==
+  dependencies:
+    "@babel/parser" "^7.23.5"
+    postcss "^8.4.14"
+    source-map "^0.6.1"
+  optionalDependencies:
+    prettier "^1.18.2 || ^2.0.0"
+
 "@vue/component-compiler-utils@^3.1.0":
   version "3.3.0"
   resolved "https://registry.yarnpkg.com/@vue/component-compiler-utils/-/component-compiler-utils-3.3.0.tgz#f9f5fb53464b0c37b2c8d2f3fbfe44df60f61dc9"
@@ -3066,7 +3102,7 @@
   optionalDependencies:
     prettier "^1.18.2 || ^2.0.0"
 
-"@vue/composition-api@1.7.2", "@vue/composition-api@^1.7.2":
+"@vue/composition-api@^1.7.2":
   version "1.7.2"
   resolved "https://registry.yarnpkg.com/@vue/composition-api/-/composition-api-1.7.2.tgz#0b656f3ec39fefc2cf40aaa8c12426bcfeae1b44"
   integrity sha512-M8jm9J/laYrYT02665HkZ5l2fWTK4dcVg3BsDHm/pfz+MjDYwX+9FUaZyGwEyXEDonQYRCo0H7aLgdklcIELjw==
@@ -3494,17 +3530,17 @@ anymatch@^3.0.3, anymatch@~3.1.2:
     normalize-path "^3.0.0"
     picomatch "^2.0.4"
 
-"aphrodite@https://github.com/learningequality/aphrodite.git":
+"aphrodite@git+https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "git+https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
     string-hash "^1.1.3"
 
-"aphrodite@https://github.com/learningequality/aphrodite/":
+"aphrodite@https://github.com/learningequality/aphrodite.git":
   version "2.2.3"
-  resolved "https://github.com/learningequality/aphrodite/#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
+  resolved "https://github.com/learningequality/aphrodite.git#fdc8d7be8912a5cf17f74ff10f124013c52c3e32"
   dependencies:
     asap "^2.0.3"
     inline-style-prefixer "^4.0.2"
@@ -5168,6 +5204,11 @@ cssstyle@^2.3.0:
   dependencies:
     cssom "~0.3.6"
 
+csstype@^3.1.0:
+  version "3.1.3"
+  resolved "https://registry.yarnpkg.com/csstype/-/csstype-3.1.3.tgz#d80ff294d114fb0e6ac500fbf85b60137d7eff81"
+  integrity sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw==
+
 csv-parse@^5.3.9:
   version "5.3.9"
   resolved "https://registry.yarnpkg.com/csv-parse/-/csv-parse-5.3.9.tgz#7af0daa161b0213080bb2cdffacd9b699cf48963"
@@ -9399,12 +9440,11 @@ kolibri-constants@^0.2.0:
   resolved "https://registry.yarnpkg.com/kolibri-constants/-/kolibri-constants-0.2.5.tgz#2b9df4c477119d0ade2d66bf8aef8a4172f0418f"
   integrity sha512-ZoFZ83xgteZhFZtYjiOmITcZeSF+X42i12TOo87zmcdA78jj0dZbPYB+ttO855UxoKY8h4HHeDVZIUkE5TGa5g==
 
-kolibri-design-system@^5.0.0-rc10:
-  version "5.0.0-rc10"
-  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc10.tgz#8c92a1b097878a2a8e2f67cda76771914f77b7b8"
-  integrity sha512-Dkk5D5PunIm+qPsIMmgo06rjA0BkPZOOpeABuPgZmtpXcFwhpAP07VrLs0LhvFBdSFri3aJDXj/kj7HskXLhWg==
+kolibri-design-system@^5.0.0-rc11:
+  version "5.0.0-rc11"
+  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc11.tgz#433b31d25337255708cf1bc28b86e4d619962f98"
+  integrity sha512-g3mxd+Bd82al5Bf3zfO3tizItI/LeMVCUVXwifv8rtbukIa5aoWDwCTUJkdnEQCFSZR5WQ0k9mhieIAe47ebvQ==
   dependencies:
-    "@vue/composition-api" "1.7.2"
     aphrodite "https://github.com/learningequality/aphrodite/"
     autosize "3.0.21"
     color "3.2.1"
@@ -9416,6 +9456,7 @@ kolibri-design-system@^5.0.0-rc10:
     popper.js "1.16.1"
     purecss "2.2.0"
     tippy.js "4.3.5"
+    vue "2"
     vue-intl "3.1.0"
     vue2-teleport "1.1.4"
     xstate "4.38.3"
@@ -10191,6 +10232,11 @@ nanoid@^3.3.6:
   resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.6.tgz#443380c856d6e9f9824267d960b4236ad583ea4c"
   integrity sha512-BGcqMMJuToF7i1rt+2PWSNVnWIkGCU78jBG3RxO/bZlnZPK2Cmi2QaffxGO/2RvWi9sL+FAiRiXMgsyxQ1DIDA==
 
+nanoid@^3.3.7:
+  version "3.3.8"
+  resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.8.tgz#b1be3030bee36aaff18bacb375e5cce521684baf"
+  integrity sha512-WNLf5Sd8oZxOm+TzppcYk8gVOgP+l58xNy58D0nbUnOxOWRWvlcCV4kUF7ltmI6PsrLl/BgKEyS4mqsGChFN0w==
+
 nanomatch@^1.2.9:
   version "1.2.13"
   resolved "https://registry.yarnpkg.com/nanomatch/-/nanomatch-1.2.13.tgz#b87a8aa4fc0de8fe6be88895b38983ff265bd119"
@@ -10875,6 +10921,11 @@ picocolors@^1.0.1:
   resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.0.1.tgz#a8ad579b571952f0e5d25892de5445bcfe25aaa1"
   integrity sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew==
 
+picocolors@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.1.1.tgz#3d321af3eab939b083c8f929a1d12cda81c26b6b"
+  integrity sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==
+
 picomatch@^2.0.4, picomatch@^2.2.1, picomatch@^2.2.2, picomatch@^2.2.3, picomatch@^2.3.1:
   version "2.3.1"
   resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.1.tgz#3ba3833733646d9d3e4995946c1365a67fb07a42"
@@ -11249,6 +11300,15 @@ postcss@^8.2.14:
     picocolors "^1.0.0"
     source-map-js "^1.0.2"
 
+postcss@^8.4.14:
+  version "8.4.49"
+  resolved "https://registry.yarnpkg.com/postcss/-/postcss-8.4.49.tgz#4ea479048ab059ab3ae61d082190fabfd994fe19"
+  integrity sha512-OCVPnIObs4N29kxTjzLfUryOkvZEq+pf8jTF0lg8E7uETuWHA+v7j3c/xJmiqpX450191LlmZfUKkXxkTry7nA==
+  dependencies:
+    nanoid "^3.3.7"
+    picocolors "^1.1.1"
+    source-map-js "^1.2.1"
+
 postcss@^8.4.16, postcss@^8.4.19, postcss@^8.4.21, postcss@^8.4.6:
   version "8.4.23"
   resolved "https://registry.yarnpkg.com/postcss/-/postcss-8.4.23.tgz#df0aee9ac7c5e53e1075c24a3613496f9e6552ab"
@@ -12468,6 +12528,11 @@ source-map-js@^1.0.1, source-map-js@^1.0.2:
   resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.0.2.tgz#adbc361d9c62df380125e7f161f71c826f1e490c"
   integrity sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==
 
+source-map-js@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.2.1.tgz#1ce5650fddd87abc099eda37dcff024c2667ae46"
+  integrity sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==
+
 source-map-resolve@^0.5.0, source-map-resolve@^0.5.2:
   version "0.5.3"
   resolved "https://registry.yarnpkg.com/source-map-resolve/-/source-map-resolve-0.5.3.tgz#190866bece7553e1f8f267a2ee82c606b5509a1a"
@@ -14057,6 +14122,14 @@ vue2-teleport@1.1.4:
   resolved "https://registry.yarnpkg.com/vue2-teleport/-/vue2-teleport-1.1.4.tgz#30c84b1005bf9c208b1c05f4b6147300c54ee846"
   integrity sha512-mGTszyQP6k3sSSk7MBq+PZdVojHYLwg5772hl3UVpu5uaLBqWIZ5eNP6/TjkDrf1XUTTxybvpXC6inpjwO+i/Q==
 
+vue@2:
+  version "2.7.16"
+  resolved "https://registry.yarnpkg.com/vue/-/vue-2.7.16.tgz#98c60de9def99c0e3da8dae59b304ead43b967c9"
+  integrity sha512-4gCtFXaAA3zYZdTp5s4Hl2sozuySsgz4jy1EnpBHNfpMa9dK1ZCG7viqBPCwXtmgc8nHqUsAu3G4gtmXkkY3Sw==
+  dependencies:
+    "@vue/compiler-sfc" "2.7.16"
+    csstype "^3.1.0"
+
 vue@^2.6.12:
   version "2.6.14"
   resolved "https://registry.yarnpkg.com/vue/-/vue-2.6.14.tgz#e51aa5250250d569a3fbad3a8a5a687d6036e235"

From 47725f3e182d7a0c2725254bd564351924f3154b Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Fri, 7 Feb 2025 22:08:58 +0300
Subject: [PATCH 28/41] Add todo to relax an unlikely situation where channel
 names will be null

---
 .../components/RecommendedResourceCard.vue                       | 1 +
 1 file changed, 1 insertion(+)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index 78bde4a2d3..c0268056ea 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -73,6 +73,7 @@
     },
     computed: {
       channelName() {
+        //Todo: We'll most likely not have null channel names, so remove check after integration
         return this.node.channel?.name || '';
       },
       learningActivities() {

From 6b85c8d9a86d073f81d232f6964a8e511e0816ec Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Fri, 7 Feb 2025 23:57:01 +0300
Subject: [PATCH 29/41] Removes ambiguous selected proo from recommended
 resource card

---
 .../components/RecommendedResourceCard.vue                  | 6 ++----
 .../views/ImportFromChannels/SearchOrBrowseWindow.vue       | 1 -
 2 files changed, 2 insertions(+), 5 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index c0268056ea..ef0d541efb 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -51,6 +51,7 @@
 
   import find from 'lodash/find';
   import LearningActivities from 'kolibri-constants/labels/LearningActivities';
+  import { mapState } from 'vuex';
   import { ContentKindLearningActivityDefaults } from 'shared/leUtils/ContentKinds';
   import Checkbox from 'shared/views/form/Checkbox';
   import ContentNodeLearningActivityIcon from 'shared/views/ContentNodeLearningActivityIcon';
@@ -66,12 +67,9 @@
         type: Object,
         required: true,
       },
-      selected: {
-        type: Array,
-        required: true,
-      },
     },
     computed: {
+      ...mapState('importFromChannels', ['selected']),
       channelName() {
         //Todo: We'll most likely not have null channel names, so remove check after integration
         return this.node.channel?.name || '';
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 48cfda22ad..48a1ed5324 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -109,7 +109,6 @@
                 v-for="recommendation in displayedRecommendations"
                 :key="recommendation.id"
                 :node="recommendation"
-                :selected.sync="selected"
                 @change_selected="handleChangeSelected"
                 @preview="preview($event)"
               />

From 2126cd623ac9bb5a7962e3c6e78241e3621ddc79 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 18 Mar 2025 15:16:50 +0300
Subject: [PATCH 30/41] makes adjustments to for latest CA API changes

---
 .../automation/utils/appnexus/base.py         |  5 +-
 .../tests/utils/test_recommendations.py       | 88 ++++++++++++-------
 .../utils/automation_manager.py               |  6 +-
 .../contentcuration/utils/recommendations.py  | 74 +++++++++++-----
 4 files changed, 113 insertions(+), 60 deletions(-)

diff --git a/contentcuration/automation/utils/appnexus/base.py b/contentcuration/automation/utils/appnexus/base.py
index 626bca1d58..07ccc5aa70 100644
--- a/contentcuration/automation/utils/appnexus/base.py
+++ b/contentcuration/automation/utils/appnexus/base.py
@@ -5,7 +5,7 @@
 
 import requests
 from requests.adapters import HTTPAdapter
-from requests.packages.urllib3.util.retry import Retry
+from urllib3 import Retry
 
 from . import errors
 
@@ -170,8 +170,7 @@ def make_request(self, request):
         """ Make a request to the backend service. """
         try:
             response = self._make_request(request)
-            response_body = dict(data=response.json())
-            return BackendResponse(**response_body)
+            return BackendResponse(data=response.json())
         except ValueError as e:
             logging.exception(e)
             raise errors.InvalidResponse("Invalid response from backend")
diff --git a/contentcuration/contentcuration/tests/utils/test_recommendations.py b/contentcuration/contentcuration/tests/utils/test_recommendations.py
index 92c730cded..d20e1287cb 100644
--- a/contentcuration/contentcuration/tests/utils/test_recommendations.py
+++ b/contentcuration/contentcuration/tests/utils/test_recommendations.py
@@ -31,7 +31,7 @@ class RecommendationsAdapterTestCase(StudioTestCase):
     @classmethod
     def setUpTestData(cls):
         cls.adapter = RecommendationsAdapter(MagicMock())
-        cls.topic = {
+        cls.topics = [{
             'id': 'topic_id',
             'title': 'topic_title',
             'description': 'topic_description',
@@ -43,7 +43,7 @@ def setUpTestData(cls):
                     'description': 'ancestor_description',
                 }
             ]
-        }
+        }]
         cls.channel_id = 'test_channel_id'
         cls.resources = [MagicMock(spec=ContentNode)]
 
@@ -52,14 +52,26 @@ def setUpTestData(cls):
             url='http://test.com',
             path='/test/path',
             params={'override_threshold': False},
-            json=cls.topic
+            json=cls.topics
         )
-        cls.api_response = BackendResponse(data=[
-            {'contentnode_id': '1234567890abcdef1234567890abcdef', 'rank': 0.9},
-            {'contentnode_id': 'abcdef1234567890abcdef1234567890', 'rank': 0.8},
-            {'contentnode_id': '00000000000000000000000000000003', 'rank': 0.8},
-            {'contentnode_id': '00000000000000000000000000000005', 'rank': 0.8},
-        ])
+        cls.api_response = BackendResponse(data={
+            'response': {
+                'topics': [
+                    {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
+                        {'id': '1234567890abcdef1234567890abcdef', 'rank': 0.9}
+                    ]},
+                    {'id': 'abcdef1234567890abcdef1234567890', 'recommendations': [
+                        {'id': 'abcdef1234567890abcdef1234567890', 'rank': 0.8}
+                    ]},
+                    {'id': '00000000000000000000000000000003', 'recommendations': [
+                        {'id': '00000000000000000000000000000003', 'rank': 0.8}
+                    ]},
+                    {'id': '00000000000000000000000000000005', 'recommendations': [
+                        {'id': '00000000000000000000000000000005', 'rank': 0.8}
+                    ]},
+                ]
+            }
+        })
 
         cls.public_content_node_1 = PublicContentNode.objects.create(
             id=uuid.UUID('1234567890abcdef1234567890abcdef'),
@@ -148,7 +160,7 @@ def test_response_does_not_exist(self):
             url='http://test.com',
             path='/test/path',
             params={'override_threshold': True},
-            json={'topic': 'new_test_topic'}
+            json=[{'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}]
         )
         response = self.adapter.response_exists(new_request)
         self.assertIsNone(response)
@@ -156,36 +168,49 @@ def test_response_does_not_exist(self):
     def cache_request_test_helper(self, request_json, response_data, expected_count):
         new_request = copy.deepcopy(self.request)
         new_request.json = request_json
-        response_copy = copy.deepcopy(self.api_response)
-        response_copy.data = response_data
 
-        result = self.adapter.cache_embeddings_request(new_request, response_copy)
+        result = self.adapter.cache_embeddings_request(new_request, response_data)
         self.assertTrue(result)
 
         cached_items = RecommendationsCache.objects.filter(
             request_hash=self.adapter._generate_request_hash(new_request)
         )
-        print(list(cached_items.values('request_hash', 'contentnode', 'rank', 'override_threshold')))
         self.assertEqual(cached_items.count(), expected_count)
 
     def test_cache_embeddings_request_success(self):
-        self.cache_request_test_helper({'topic': 'new_test_topic_1'}, self.api_response.data, 2)
+        self.cache_request_test_helper([
+            {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
+        ], self.api_response, 2)
 
     def test_cache_embeddings_request_empty_data(self):
-        self.cache_request_test_helper({'topic': 'new_test_topic_2'}, [], 0)
+        self.cache_request_test_helper([
+            {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
+        ], {}, 0)
 
     def test_cache_embeddings_request_ignore_duplicates(self):
-        duplicate_data = [
-            {'contentnode_id': '1234567890abcdef1234567890abcdef', 'rank': 0.9},
-            {'contentnode_id': '1234567890abcdef1234567890abcdef', 'rank': 0.9}
-        ]
-        self.cache_request_test_helper({'topic': 'new_test_topic_3'}, duplicate_data, 1)
+        duplicate_data = BackendResponse(data={
+            'response': {
+                'topics': [
+                    {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
+                        {'id': '1234567890abcdef1234567890abcdef', 'rank': 0.9}
+                    ]},
+                    {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
+                        {'id': '1234567890abcdef1234567890abcdef', 'rank': 0.9}
+                    ]}
+                ]
+            }
+        })
+        self.cache_request_test_helper([
+            {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
+        ], duplicate_data, 1)
 
     def test_cache_embeddings_request_invalid_data(self):
-        invalid_data = [
-            {'contentnode_id': '1234567890abcdef1234567890abcdee', 'rank': 0.6}
-        ]
-        self.cache_request_test_helper({'topic': 'new_test_topic_4'}, invalid_data, 0)
+        invalid_data = BackendResponse(data={
+            'response': [
+                {'node_id': '1234567890abcdef1234567890abcdee', 'rank': 0.6}
+            ]
+        })
+        self.cache_request_test_helper([{'topic': 'new_test_topic_4'}], invalid_data, 0)
 
     @patch('contentcuration.utils.recommendations.RecommendationsAdapter.cache_embeddings_request')
     @patch('contentcuration.utils.recommendations.RecommendationsAdapter.generate_embeddings')
@@ -214,9 +239,10 @@ def test_get_recommendations_success(self, mock_embed_topics_request, mock_respo
         mock_response = MagicMock(spec=EmbeddingsResponse)
         mock_response.data = copy.deepcopy(self.api_response.data)
         mock_response.error = None
+        mock_response.get = lambda key, default=None: getattr(mock_response, key, default)
         mock_generate_embeddings.return_value = mock_response
 
-        response = self.adapter.get_recommendations(self.topic)
+        response = self.adapter.get_recommendations(self.topics)
         results = list(response.results)
         expected_node_ids = [public_node_1.id.hex, public_node_2.id.hex]
         actual_node_ids = [result["node_id"] for result in results]
@@ -227,22 +253,22 @@ def test_get_recommendations_success(self, mock_embed_topics_request, mock_respo
         self.assertListEqual(expected_node_ids, actual_node_ids)
         self.assertEqual(len(results), 2)
 
-    @patch('contentcuration.utils.recommendations.RecommendationsAdapter._extract_data')
+    @patch('contentcuration.utils.recommendations.RecommendationsAdapter._flatten_response')
     @patch('contentcuration.utils.recommendations.RecommendationsAdapter.response_exists')
     @patch('contentcuration.utils.recommendations.EmbedTopicsRequest')
     def test_get_recommendations_failure(self, mock_embed_topics_request, mock_response_exists,
-                                         mock_extract_data):
+                                         mock_flatten_response):
         mock_request_instance = MagicMock(spec=EmbedTopicsRequest)
         mock_embed_topics_request.return_value = mock_request_instance
 
         self.assert_backend_call(mock_response_exists, None, False, None,
-                                 self.adapter.get_recommendations, self.topic)
+                                 self.adapter.get_recommendations, self.topics)
 
-    @patch('contentcuration.utils.recommendations.RecommendationsAdapter._extract_data')
+    @patch('contentcuration.utils.recommendations.RecommendationsAdapter._flatten_response')
     @patch('contentcuration.utils.recommendations.RecommendationsAdapter.response_exists')
     @patch('contentcuration.utils.recommendations.EmbedContentRequest')
     def test_embed_content_success(self, mock_embed_topics_request, mock_response_exists,
-                                   mock_extract_data):
+                                   mock_flatten_response):
         mock_response = MagicMock(spec=EmbeddingsResponse)
         mock_response.error = None
         response = self.assert_backend_call(mock_response_exists, None, True, mock_response,
diff --git a/contentcuration/contentcuration/utils/automation_manager.py b/contentcuration/contentcuration/utils/automation_manager.py
index fbc76a0b5e..3f619d8768 100644
--- a/contentcuration/contentcuration/utils/automation_manager.py
+++ b/contentcuration/contentcuration/utils/automation_manager.py
@@ -27,14 +27,14 @@ def generate_embeddings(self, channel_id: str, nodes: List[Union[ContentNode, Pu
         """
         return self.adapter.embed_content(channel_id, nodes)
 
-    def load_recommendations(self, topic: Dict[str, Any], override_threshold=False):
+    def load_recommendations(self, topics: List[Dict[str, Any]], override_threshold=False):
         """
         Loads recommendations for the given topic.
 
-        :param topic: A dictionary containing the topic for which to get recommendations.
+        :param topics: A list of topics for which to get recommendations.
         :param override_threshold: A boolean flag to override the recommendation threshold.
 
         :return: A list of recommendations for the given topic.
         """
-        self.adapter.get_recommendations(topic=topic, override_threshold=override_threshold)
+        self.adapter.get_recommendations(topics=topics, override_threshold=override_threshold)
         return []
diff --git a/contentcuration/contentcuration/utils/recommendations.py b/contentcuration/contentcuration/utils/recommendations.py
index 20c6cb05f2..bf95049136 100644
--- a/contentcuration/contentcuration/utils/recommendations.py
+++ b/contentcuration/contentcuration/utils/recommendations.py
@@ -154,14 +154,14 @@ def cache_embeddings_request(self, request: BackendRequest, response: BackendRes
         """
 
         try:
-            nodes = self._extract_data(response)
-            valid_nodes = self._validate_nodes(nodes)
+            recommended_nodes = self._flatten_response(response)
+            valid_nodes = self._validate_nodes(recommended_nodes)
             request_hash = self._generate_request_hash(request)
             override_threshold = self._extract_override_threshold(request)
             new_cache = [
                 RecommendationsCache(
                     request_hash=request_hash,
-                    contentnode_id=node['contentnode_id'],
+                    contentnode_id=node['node_id'],
                     rank=node['rank'],
                     override_threshold=override_threshold,
                 ) for node in valid_nodes
@@ -182,12 +182,12 @@ def _extract_override_threshold(self, request) -> bool:
         """
         return request.params.get('override_threshold', False) if request.params else False
 
-    def get_recommendations(self, topic: Dict[str, Any],
+    def get_recommendations(self, topics: List[Dict[str, Any]],
                             override_threshold=False) -> RecommendationsResponse:
         """
-        Get recommendations for the given topic.
+        Get recommendations for the given topic(s).
 
-        :param topic: A dictionary containing the topic for which to get recommendations. See
+        :param topics: A list of topics for which to get recommendations. See
         https://github.com/learningequality/le-utils/blob/main/spec/schema-embed_topics_request.json
         :param override_threshold: A boolean flag to override the recommendation threshold.
         :return: The recommendations for the given topic. :rtype: RecommendationsResponse
@@ -195,8 +195,9 @@ def get_recommendations(self, topic: Dict[str, Any],
 
         recommendations = []
         request = EmbedTopicsRequest(
+            path='/recommend',
             params={'override_threshold': override_threshold},
-            json=topic,
+            json=topics,
         )
 
         cached_response = self.response_exists(request)
@@ -207,9 +208,9 @@ def get_recommendations(self, topic: Dict[str, Any],
             if not response.error:
                 self.cache_embeddings_request(request, response)
 
-        nodes = self._extract_data(response)
-        if len(nodes) > 0:
-            node_ids = self._extract_node_ids(nodes)
+        recommended_nodes = self._flatten_response(response)
+        if len(recommended_nodes) > 0:
+            node_ids = self._extract_node_ids(recommended_nodes)
             cast_node_ids = [uuid.UUID(node_id) for node_id in node_ids]
 
             channel_cte = With(
@@ -242,26 +243,53 @@ def get_recommendations(self, topic: Dict[str, Any],
 
         return RecommendationsResponse(results=recommendations)
 
-    def _extract_data(self, response: BackendResponse) -> List[Dict[str, Any]]:
+    def _flatten_response(self, response: BackendResponse) -> List[Dict[str, Any]]:
         """
-        Extracts the data from the given response.
+        Flattens the recommendations response.
 
-        The response is of the form:
+        The response parameter is of the form:
 
         {
-            "data": [
-                {
-                    "contentnode_id": "<some node id>",
-                    "rank": 0.7
-                }
+          "response": {
+            "topics": [
+              {
+                "id": "8d478f3605fd4476adface9be9cf6db3",
+                "recommendations": [
+                  {
+                    "id": "7747554350bb5e088ee69e28a4ba769d",
+                    "channel_id": "1d8f6d84618153c18c695d85074952a7",
+                    "title": "One-Step Equations and Inverse Operations (Flexbook)",
+                    "description": "",
+                    "similarity": 0.7308432729798824,
+                    "rank": 1
+                  }
+                ]
+              }
             ]
+          }
         }
 
-        :param response: A response from which to extract the data.
-        :return: The extracted data.
+        :param response: The recommendations response to be flattened.
+        :return: The flattened list of recommendations by topic.
         :rtype: List[Dict[str, Any]]
         """
-        return response.data if response.data else []
+        flattened_response = []
+        if hasattr(response, 'data') and isinstance(response.data, dict):
+            response_data = response.data.get('response')
+            if isinstance(response_data, dict):
+                topics = response_data.get('topics', [])
+                for topic in topics:
+                    topic_id = topic.get('id')
+                    recommendations = topic.get('recommendations', [])
+                    for recommendation in recommendations:
+                        flattened_response.append({
+                            'topic_id': topic_id,
+                            'node_id': recommendation.get('id'),
+                            'channel_id': recommendation.get('channel_id'),
+                            'similarity': recommendation.get('similarity'),
+                            'rank': recommendation.get('rank'),
+                        })
+        return flattened_response
 
     def _validate_nodes(self, nodes: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
         """
@@ -274,7 +302,7 @@ def _validate_nodes(self, nodes: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
         node_ids = self._extract_node_ids(nodes)
         existing_node_ids = set(
             PublicContentNode.objects.filter(id__in=node_ids).values_list('id', flat=True))
-        return [node for node in nodes if node['contentnode_id'] in existing_node_ids]
+        return [node for node in nodes if node.get('node_id') in existing_node_ids]
 
     def _extract_node_ids(self, nodes: List[Dict[str, Any]]) -> List[str]:
         """
@@ -284,7 +312,7 @@ def _extract_node_ids(self, nodes: List[Dict[str, Any]]) -> List[str]:
         :return: A list of node IDs.
         :rtype: List[str]
         """
-        return [node['contentnode_id'] for node in nodes]
+        return [node.get('node_id') for node in nodes]
 
     def _cast_to_uuid(self, field):
         """

From d3633e0cea49f9c6a4f9dfcdda4f4c528e9f2a4d Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Fri, 21 Mar 2025 14:18:00 +0300
Subject: [PATCH 31/41] adds /recommendations endpoint

---
 .../not_production_settings.py                |   3 +
 contentcuration/contentcuration/settings.py   |   3 +
 .../tests/viewsets/test_recommendations.py    | 128 ++++++++++++++++++
 contentcuration/contentcuration/urls.py       |   2 +
 .../utils/automation_manager.py               |  11 +-
 .../contentcuration/utils/recommendations.py  |   8 +-
 .../viewsets/recommendation.py                |  52 +++++++
 7 files changed, 201 insertions(+), 6 deletions(-)
 create mode 100644 contentcuration/contentcuration/tests/viewsets/test_recommendations.py
 create mode 100644 contentcuration/contentcuration/viewsets/recommendation.py

diff --git a/contentcuration/contentcuration/not_production_settings.py b/contentcuration/contentcuration/not_production_settings.py
index e98410433d..ea637ddeaa 100644
--- a/contentcuration/contentcuration/not_production_settings.py
+++ b/contentcuration/contentcuration/not_production_settings.py
@@ -19,3 +19,6 @@
 )
 
 AWS_AUTO_CREATE_BUCKET = True
+
+# Use local instance for curriculum automation for development
+CURRICULUM_AUTOMATION_URL = "http://localhost:8000"
diff --git a/contentcuration/contentcuration/settings.py b/contentcuration/contentcuration/settings.py
index ef4930fa08..b652bff16f 100644
--- a/contentcuration/contentcuration/settings.py
+++ b/contentcuration/contentcuration/settings.py
@@ -443,3 +443,6 @@ def gettext(s):
 DEFAULT_AUTO_FIELD = "django.db.models.AutoField"
 
 LANGUAGE_COOKIE_AGE = 3600 * 24 * 14
+
+# Curriculum Automation Settings
+CURRICULUM_AUTOMATION_URL = os.getenv("CURRICULUM_AUTOMATION_URL")
diff --git a/contentcuration/contentcuration/tests/viewsets/test_recommendations.py b/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
new file mode 100644
index 0000000000..7c27a54054
--- /dev/null
+++ b/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
@@ -0,0 +1,128 @@
+from django.urls import reverse
+from mock import patch
+
+from contentcuration.tests import testdata
+from contentcuration.tests.base import StudioAPITestCase
+
+
+class CRUDTestCase(StudioAPITestCase):
+
+    @property
+    def topics(self):
+        return {
+            "topics": [
+                {
+                    "id": "00000000000000000000000000000001",
+                    "title": "Target topic",
+                    "description": "Target description",
+                    "language": "en",
+                    "ancestors": [
+                        {
+                            "id": "00000000000000000000000000000001",
+                            "title": "Parent topic",
+                            "description": "Parent description",
+                            "language": "en",
+                            "level": 1,
+                        }
+                    ],
+                }
+            ],
+            "metadata": {
+                "channel_id": "000",
+                "channel_title": "Channel title",
+                "some_additional_field": "some_random_value",
+            },
+        }
+
+    @property
+    def recommendations_list(self):
+        return [
+            {
+                "id": "00000000000000000000000000000001",
+                "node_id": "00000000000000000000000000000002",
+                "main_tree_id": "1",
+                "parent_id": "00000000000000000000000000000003",
+            },
+            {
+                "id": "00000000000000000000000000000004",
+                "node_id": "00000000000000000000000000000005",
+                "main_tree_id": "2",
+                "parent_id": "00000000000000000000000000000006",
+            }
+        ]
+
+    def setUp(self):
+        super(CRUDTestCase, self).setUp()
+        self.user = testdata.user()
+
+    @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
+    def test_recommend_success(self, mock_load_recommendations):
+        self.client.force_authenticate(user=self.user)
+        mock_load_recommendations.return_value = self.recommendations_list
+
+        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+                                    format="json")
+
+        self.assertEqual(response.status_code, 200, response.content)
+        self.assertEqual(response.json(), self.recommendations_list)
+
+    def test_recommend_invalid_data_empty_data(self):
+        self.client.force_authenticate(user=self.user)
+
+        invalid_data = {}
+        response = self.client.post(reverse("recommendations-list"), data=invalid_data,
+                                    format="json")
+        self.assertEqual(response.status_code, 400)
+        self.assertIn("topics", response.json())
+
+    def test_recommend_invalid_data_wrong_topic_data(self):
+        self.client.force_authenticate(user=self.user)
+
+        invalid_data = {'topics': [{'ramdon_field': "random_value"}]}
+        response = self.client.post(reverse("recommendations-list"), data=invalid_data,
+                                    format="json")
+        self.assertEqual(response.status_code, 400)
+        self.assertIn("non_field_errors", response.json())
+
+    @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
+    def test_recommendation_invalid_data_formats(self, mock_load_recommendations):
+        self.client.force_authenticate(user=self.user)
+
+        error_message = "Invalid topic format"
+        mock_load_recommendations.side_effect = ValueError(error_message)
+
+        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+                                    format="json")
+
+        self.assertEqual(response.status_code, 400)
+        self.assertEqual(response.json(), {"error": error_message})
+        mock_load_recommendations.assert_called_once()
+
+    @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
+    def test_recommendation_service_unavailable(self, mock_load_recommendations):
+        self.client.force_authenticate(user=self.user)
+
+        error_message = "Connection error"
+        mock_load_recommendations.side_effect = ConnectionError(error_message)
+
+        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+                                    format="json")
+
+        self.assertEqual(response.status_code, 503)
+        self.assertEqual(response.json(),
+                         {"error": f"Recommendation service unavailable: {error_message}"})
+        mock_load_recommendations.assert_called_once()
+
+    @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
+    def test_recommendation_generic_error(self, mock_load_recommendations):
+        self.client.force_authenticate(user=self.user)
+
+        error_message = "Unexpected internal error"
+        mock_load_recommendations.side_effect = RuntimeError(error_message)
+        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+                                    format="json")
+
+        self.assertEqual(response.status_code, 500)
+        self.assertEqual(response.content.decode(),
+                         f"Unable to load recommendations: {error_message}")
+        mock_load_recommendations.assert_called_once()
diff --git a/contentcuration/contentcuration/urls.py b/contentcuration/contentcuration/urls.py
index 8047ca0bf4..d6813a1227 100644
--- a/contentcuration/contentcuration/urls.py
+++ b/contentcuration/contentcuration/urls.py
@@ -42,6 +42,7 @@
 from contentcuration.viewsets.feedback import FlagFeedbackEventViewSet
 from contentcuration.viewsets.file import FileViewSet
 from contentcuration.viewsets.invitation import InvitationViewSet
+from contentcuration.viewsets.recommendation import RecommendationViewSet
 from contentcuration.viewsets.sync.endpoint import SyncView
 from contentcuration.viewsets.user import AdminUserViewSet
 from contentcuration.viewsets.user import ChannelUserViewSet
@@ -69,6 +70,7 @@ def get_redirect_url(self, *args, **kwargs):
 router.register(r'admin-users', AdminUserViewSet, basename='admin-users')
 router.register(r'clipboard', ClipboardViewSet, basename='clipboard')
 router.register(r'flagged', FlagFeedbackEventViewSet, basename='flagged')
+router.register(r'recommendations', RecommendationViewSet, basename='recommendations')
 
 urlpatterns = [
     re_path(r'^api/', include(router.urls)),
diff --git a/contentcuration/contentcuration/utils/automation_manager.py b/contentcuration/contentcuration/utils/automation_manager.py
index 3f619d8768..b9d29c4dec 100644
--- a/contentcuration/contentcuration/utils/automation_manager.py
+++ b/contentcuration/contentcuration/utils/automation_manager.py
@@ -29,12 +29,15 @@ def generate_embeddings(self, channel_id: str, nodes: List[Union[ContentNode, Pu
 
     def load_recommendations(self, topics: List[Dict[str, Any]], override_threshold=False):
         """
-        Loads recommendations for the given topic.
+        Loads recommendations for the given topic(s).
 
         :param topics: A list of topics for which to get recommendations.
         :param override_threshold: A boolean flag to override the recommendation threshold.
 
-        :return: A list of recommendations for the given topic.
+        :return: A dictionary containing a list of recommendations for the given topic(s).
         """
-        self.adapter.get_recommendations(topics=topics, override_threshold=override_threshold)
-        return []
+        recommendations = []
+        response = self.adapter.get_recommendations(topics=topics, override_threshold=override_threshold)
+        if hasattr(response, "results") and isinstance(response.results, list):
+            recommendations = response.results
+        return recommendations
diff --git a/contentcuration/contentcuration/utils/recommendations.py b/contentcuration/contentcuration/utils/recommendations.py
index bf95049136..f8f0b655af 100644
--- a/contentcuration/contentcuration/utils/recommendations.py
+++ b/contentcuration/contentcuration/utils/recommendations.py
@@ -14,6 +14,7 @@
 from automation.utils.appnexus.base import BackendFactory
 from automation.utils.appnexus.base import BackendRequest
 from automation.utils.appnexus.base import BackendResponse
+from django.conf import settings
 from django.db.models import Exists
 from django.db.models import F
 from django.db.models import OuterRef
@@ -72,8 +73,10 @@ def __init__(self, **kwargs):
 
 class RecommendationsBackendFactory(BackendFactory):
     def create_backend(self) -> Backend:
-        # Return backend based on some setting.
-        return super().create_backend()
+        backend = Recommendations()
+        backend.base_url = settings.CURRICULUM_AUTOMATION_URL
+        backend.connect_endpoint = "/connect"
+        return backend
 
 
 class RecommendationsAdapter(Adapter):
@@ -195,6 +198,7 @@ def get_recommendations(self, topics: List[Dict[str, Any]],
 
         recommendations = []
         request = EmbedTopicsRequest(
+            method='POST',
             path='/recommend',
             params={'override_threshold': override_threshold},
             json=topics,
diff --git a/contentcuration/contentcuration/viewsets/recommendation.py b/contentcuration/contentcuration/viewsets/recommendation.py
new file mode 100644
index 0000000000..b4743d9455
--- /dev/null
+++ b/contentcuration/contentcuration/viewsets/recommendation.py
@@ -0,0 +1,52 @@
+from http import HTTPStatus
+
+import jsonschema
+from django.http import HttpResponseServerError
+from django.http import JsonResponse
+from le_utils.validators import embed_topics_request
+from rest_framework import serializers
+from rest_framework import viewsets
+from rest_framework.permissions import IsAuthenticated
+
+from contentcuration.utils.automation_manager import AutomationManager
+
+
+class RecommendationSerializer(serializers.Serializer):
+    topics = serializers.ListField(required=True)
+    metadata = serializers.JSONField(required=False)
+    override_threshold = serializers.BooleanField(default=False)
+
+    def validate(self, data):
+        try:
+            validation_data = {'topics': data['topics']}
+            if 'metadata' in data:
+                validation_data['metadata'] = data['metadata']
+
+            embed_topics_request.validate(validation_data)
+            return data
+        except jsonschema.ValidationError as e:
+            raise serializers.ValidationError(str(e))
+
+
+class RecommendationViewSet(viewsets.ModelViewSet):
+    serializer_class = RecommendationSerializer
+    permission_classes = [IsAuthenticated]
+
+    def create(self, request, *args, **kwargs):
+        serializer = self.get_serializer(data=request.data)
+        serializer.is_valid(raise_exception=True)
+
+        topics = serializer.validated_data['topics']
+        override_threshold = serializer.validated_data['override_threshold']
+
+        try:
+            manager = AutomationManager()
+            recommendations = manager.load_recommendations(topics, override_threshold)
+            return JsonResponse(data=recommendations, safe=False)
+        except (ValueError, TypeError) as e:
+            return JsonResponse({"error": str(e)}, status=HTTPStatus.BAD_REQUEST)
+        except ConnectionError as e:
+            return JsonResponse({"error": f"Recommendation service unavailable: {str(e)}"},
+                                status=HTTPStatus.SERVICE_UNAVAILABLE)
+        except Exception as e:
+            return HttpResponseServerError(f"Unable to load recommendations: {str(e)}")

From 067938a475df32b2639c7a3f501ed01133ff0415 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 31 Mar 2025 22:09:01 +0300
Subject: [PATCH 32/41] Adds new envar to hold recommendation api url

---
 contentcuration/contentcuration/not_production_settings.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/contentcuration/contentcuration/not_production_settings.py b/contentcuration/contentcuration/not_production_settings.py
index ea637ddeaa..8d3bcd3e12 100644
--- a/contentcuration/contentcuration/not_production_settings.py
+++ b/contentcuration/contentcuration/not_production_settings.py
@@ -21,4 +21,4 @@
 AWS_AUTO_CREATE_BUCKET = True
 
 # Use local instance for curriculum automation for development
-CURRICULUM_AUTOMATION_URL = "http://localhost:8000"
+CURRICULUM_AUTOMATION_API_URL = "http://localhost:8000"

From 6a971e45ec65192458db5fc6dd97727fd22086eb Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 31 Mar 2025 22:11:47 +0300
Subject: [PATCH 33/41] Adds new envar to hold recommendation api url

---
 contentcuration/contentcuration/settings.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/contentcuration/contentcuration/settings.py b/contentcuration/contentcuration/settings.py
index b652bff16f..05acbf02e5 100644
--- a/contentcuration/contentcuration/settings.py
+++ b/contentcuration/contentcuration/settings.py
@@ -445,4 +445,4 @@ def gettext(s):
 LANGUAGE_COOKIE_AGE = 3600 * 24 * 14
 
 # Curriculum Automation Settings
-CURRICULUM_AUTOMATION_URL = os.getenv("CURRICULUM_AUTOMATION_URL")
+CURRICULUM_AUTOMATION_API_URL = os.getenv("CURRICULUM_AUTOMATION_API_URL")

From 7e868daa51d4b57067754988cbe9bbc74fc0ea34 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 31 Mar 2025 22:16:38 +0300
Subject: [PATCH 34/41] Updates recommendations cache to store topic and
 channel ids

---
 .../automation/migrations/0001_initial.py     | 28 +++++++++++++------
 contentcuration/automation/models.py          | 14 ++++++++--
 .../tests/test_recommendations_cache_model.py | 19 +++++++++++--
 3 files changed, 47 insertions(+), 14 deletions(-)

diff --git a/contentcuration/automation/migrations/0001_initial.py b/contentcuration/automation/migrations/0001_initial.py
index 6152c0f4b2..fd5d3ad213 100644
--- a/contentcuration/automation/migrations/0001_initial.py
+++ b/contentcuration/automation/migrations/0001_initial.py
@@ -1,4 +1,4 @@
-# Generated by Django 3.2.24 on 2024-08-05 21:23
+# Generated by Django 3.2.24 on 2025-03-26 11:12
 import uuid
 
 import django.db.models.deletion
@@ -7,26 +7,36 @@
 
 
 class Migration(migrations.Migration):
+
     initial = True
 
     dependencies = [
-        ('kolibri_public', '0003_alter_file_preset'),
+        ('kolibri_public', '0005_alter_localfile_extension'),
+        ('contentcuration', '0151_embeddings_embeddingscontentnode'),
     ]
 
     operations = [
         migrations.CreateModel(
             name='RecommendationsCache',
             fields=[
-                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True,
-                                        serialize=False)),
+                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
                 ('request_hash', models.CharField(max_length=32, null=True)),
-                ('rank', models.FloatField(default=0.0, null=True)),
+                ('topic_id', models.UUIDField(blank=True, null=True)),
+                ('rank', models.IntegerField(default=0, null=True)),
                 ('override_threshold', models.BooleanField(default=False)),
                 ('timestamp', models.DateTimeField(auto_now_add=True)),
-                ('contentnode', models.ForeignKey(blank=True, null=True,
-                                                  on_delete=django.db.models.deletion.CASCADE,
-                                                  related_name='recommendations',
-                                                  to='kolibri_public.contentnode')),
+                ('channel', models.ForeignKey(
+                    blank=True,
+                    null=True,
+                    on_delete=django.db.models.deletion.CASCADE,
+                    related_name='channel_recommendations',
+                    to='contentcuration.channel')),
+                ('contentnode', models.ForeignKey(
+                    blank=True,
+                    null=True,
+                    on_delete=django.db.models.deletion.CASCADE,
+                    related_name='contentnode_recommendations',
+                    to='kolibri_public.contentnode')),
             ],
         ),
         migrations.AddIndex(
diff --git a/contentcuration/automation/models.py b/contentcuration/automation/models.py
index 7000ddf420..0d92dfd977 100644
--- a/contentcuration/automation/models.py
+++ b/contentcuration/automation/models.py
@@ -3,6 +3,8 @@
 from django.db import models
 from kolibri_public.models import ContentNode
 
+from contentcuration.models import Channel
+
 
 REQUEST_HASH_INDEX_NAME = "request_hash_idx"
 CONTENTNODE_INDEX_NAME = "contentnode_idx"
@@ -11,14 +13,22 @@
 class RecommendationsCache(models.Model):
     id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
     request_hash = models.CharField(max_length=32, null=True)
+    topic_id = models.UUIDField(null=True, blank=True)
     contentnode = models.ForeignKey(
         ContentNode,
         null=True,
         blank=True,
-        related_name='recommendations',
+        related_name='contentnode_recommendations',
+        on_delete=models.CASCADE,
+    )
+    channel = models.ForeignKey(
+        Channel,
+        null=True,
+        blank=True,
+        related_name='channel_recommendations',
         on_delete=models.CASCADE,
     )
-    rank = models.FloatField(default=0.0, null=True)
+    rank = models.IntegerField(default=0, null=True)
     override_threshold = models.BooleanField(default=False)
     timestamp = models.DateTimeField(auto_now_add=True)
 
diff --git a/contentcuration/automation/tests/test_recommendations_cache_model.py b/contentcuration/automation/tests/test_recommendations_cache_model.py
index 9cb2e96c9a..01024c3ee0 100644
--- a/contentcuration/automation/tests/test_recommendations_cache_model.py
+++ b/contentcuration/automation/tests/test_recommendations_cache_model.py
@@ -4,30 +4,41 @@
 from django.db import IntegrityError
 from kolibri_public.models import ContentNode
 
+from contentcuration.models import Channel
 from contentcuration.tests.base import StudioTestCase
 
 
 class TestRecommendationsCache(StudioTestCase):
 
     def setUp(self):
+        self.topic_id = uuid.uuid4()
         self.content_node = ContentNode.objects.create(
             id=uuid.uuid4(),
             title='Test Content Node',
             content_id=uuid.uuid4(),
             channel_id=uuid.uuid4(),
         )
+        self.channel = Channel.objects.create(
+            id=uuid.uuid4(),
+            name='Test Channel',
+            actor_id=1,
+        )
         self.cache = RecommendationsCache.objects.create(
             request_hash='test_hash',
+            topic_id=self.topic_id,
             contentnode=self.content_node,
-            rank=1.0,
+            channel=self.channel,
+            rank=1,
             override_threshold=False
         )
 
     def test_cache_creation(self):
         self.assertIsInstance(self.cache, RecommendationsCache)
         self.assertEqual(self.cache.request_hash, 'test_hash')
+        self.assertEqual(self.cache.topic_id, self.topic_id)
         self.assertEqual(self.cache.contentnode, self.content_node)
-        self.assertEqual(self.cache.rank, 1.0)
+        self.assertEqual(self.cache.channel, self.channel)
+        self.assertEqual(self.cache.rank, 1)
         self.assertFalse(self.cache.override_threshold)
 
     def test_cache_retrieval(self):
@@ -38,8 +49,10 @@ def test_cache_uniqueness(self):
         with self.assertRaises(IntegrityError):
             RecommendationsCache.objects.create(
                 request_hash='test_hash',
+                topic_id=self.topic_id,
                 contentnode=self.content_node,
-                rank=2.0,
+                channel=self.channel,
+                rank=2,
                 override_threshold=True
             )
 

From 0ebbf32d46b68d4d6b0acdafaad5f2c530fb4bde Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 31 Mar 2025 22:18:27 +0300
Subject: [PATCH 35/41] Bumbs KDS to v5.0.0-r10

---
 package.json |   2 +-
 yarn.lock    | 117 +++++++++++++++------------------------------------
 2 files changed, 35 insertions(+), 84 deletions(-)

diff --git a/package.json b/package.json
index d2ac1996dd..af78c6a7ca 100644
--- a/package.json
+++ b/package.json
@@ -74,7 +74,7 @@
     "jspdf": "https://github.com/parallax/jsPDF.git#b7a1d8239c596292ce86dafa77f05987bcfa2e6e",
     "jszip": "^3.10.1",
     "kolibri-constants": "^0.2.0",
-    "kolibri-design-system": "^5.0.0-rc11",
+    "kolibri-design-system": "5.0.0-rc10",
     "lodash": "^4.17.21",
     "material-icons": "0.3.1",
     "mutex-js": "^1.1.5",
diff --git a/yarn.lock b/yarn.lock
index 9ec4c215d5..d5c0d97d0d 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -459,11 +459,6 @@
   resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.21.5.tgz#2b3eea65443c6bdc31c22d037c65f6d323b6b2bd"
   integrity sha512-5pTUx3hAJaZIdW99sJ6ZUUgWq/Y+Hja7TowEnLNMm1VivRgZQL3vpBY3qUACVsvw+yQU6+YgfBVmcbLaZtrA1w==
 
-"@babel/helper-string-parser@^7.25.9":
-  version "7.25.9"
-  resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz#1aabb72ee72ed35789b4bbcad3ca2862ce614e8c"
-  integrity sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==
-
 "@babel/helper-validator-identifier@^7.16.7":
   version "7.16.7"
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.16.7.tgz#e8c602438c4a8195751243da9031d1607d247cad"
@@ -474,11 +469,6 @@
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.19.1.tgz#7eea834cf32901ffdc1a7ee555e2f9c27e249ca2"
   integrity sha512-awrNfaMtnHUr653GgGEs++LlAvW6w+DcPrOliSMXWCKo597CwL5Acf/wWdNkf/tfEQE3mjkeD1YOVZOUV/od1w==
 
-"@babel/helper-validator-identifier@^7.25.9":
-  version "7.25.9"
-  resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz#24b64e2c3ec7cd3b3c547729b8d16871f22cbdc7"
-  integrity sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==
-
 "@babel/helper-validator-option@^7.16.7":
   version "7.16.7"
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.16.7.tgz#b203ce62ce5fe153899b617c08957de860de4d23"
@@ -555,13 +545,6 @@
   resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.21.8.tgz#642af7d0333eab9c0ad70b14ac5e76dbde7bfdf8"
   integrity sha512-6zavDGdzG3gUqAdWvlLFfk+36RilI+Pwyuuh7HItyeScCWP3k6i8vKclAQ0bM/0y/Kz/xiwvxhMv9MgTJP5gmA==
 
-"@babel/parser@^7.23.5":
-  version "7.26.3"
-  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.26.3.tgz#8c51c5db6ddf08134af1ddbacf16aaab48bac234"
-  integrity sha512-WJ/CvmY8Mea8iDXo6a7RK2wbmJITT5fN3BEkRuFlxVyNx8jOKIIhmC4fSkTcPcf8JyavbBwIe6OpiCOBXt/IcA==
-  dependencies:
-    "@babel/types" "^7.26.3"
-
 "@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression@^7.17.12":
   version "7.17.12"
   resolved "https://registry.yarnpkg.com/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression/-/plugin-bugfix-safari-id-destructuring-collision-in-function-expression-7.17.12.tgz#1dca338caaefca368639c9ffb095afbd4d420b1e"
@@ -1759,14 +1742,6 @@
     "@babel/helper-validator-identifier" "^7.19.1"
     to-fast-properties "^2.0.0"
 
-"@babel/types@^7.26.3":
-  version "7.26.3"
-  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.26.3.tgz#37e79830f04c2b5687acc77db97fbc75fb81f3c0"
-  integrity sha512-vN5p+1kl59GVKMvTHt55NzzmYVxprfJD+ql7U9NFIfKCBkYE55LYtS+WtPlaYOyzydrKI8Nezd+aZextrd+FMA==
-  dependencies:
-    "@babel/helper-string-parser" "^7.25.9"
-    "@babel/helper-validator-identifier" "^7.25.9"
-
 "@bcoe/v8-coverage@^0.2.3":
   version "0.2.3"
   resolved "https://registry.yarnpkg.com/@bcoe/v8-coverage/-/v8-coverage-0.2.3.tgz#75a2e8b51cb758a7553d6804a5932d7aace75c39"
@@ -3075,17 +3050,6 @@
     semver "^7.3.2"
     tsutils "^3.17.1"
 
-"@vue/compiler-sfc@2.7.16":
-  version "2.7.16"
-  resolved "https://registry.yarnpkg.com/@vue/compiler-sfc/-/compiler-sfc-2.7.16.tgz#ff81711a0fac9c68683d8bb00b63f857de77dc83"
-  integrity sha512-KWhJ9k5nXuNtygPU7+t1rX6baZeqOYLEforUPjgNDBnLicfHCoi48H87Q8XyLZOrNNsmhuwKqtpDQWjEFe6Ekg==
-  dependencies:
-    "@babel/parser" "^7.23.5"
-    postcss "^8.4.14"
-    source-map "^0.6.1"
-  optionalDependencies:
-    prettier "^1.18.2 || ^2.0.0"
-
 "@vue/component-compiler-utils@^3.1.0":
   version "3.3.0"
   resolved "https://registry.yarnpkg.com/@vue/component-compiler-utils/-/component-compiler-utils-3.3.0.tgz#f9f5fb53464b0c37b2c8d2f3fbfe44df60f61dc9"
@@ -3102,7 +3066,7 @@
   optionalDependencies:
     prettier "^1.18.2 || ^2.0.0"
 
-"@vue/composition-api@^1.7.2":
+"@vue/composition-api@1.7.2", "@vue/composition-api@^1.7.2":
   version "1.7.2"
   resolved "https://registry.yarnpkg.com/@vue/composition-api/-/composition-api-1.7.2.tgz#0b656f3ec39fefc2cf40aaa8c12426bcfeae1b44"
   integrity sha512-M8jm9J/laYrYT02665HkZ5l2fWTK4dcVg3BsDHm/pfz+MjDYwX+9FUaZyGwEyXEDonQYRCo0H7aLgdklcIELjw==
@@ -5204,11 +5168,6 @@ cssstyle@^2.3.0:
   dependencies:
     cssom "~0.3.6"
 
-csstype@^3.1.0:
-  version "3.1.3"
-  resolved "https://registry.yarnpkg.com/csstype/-/csstype-3.1.3.tgz#d80ff294d114fb0e6ac500fbf85b60137d7eff81"
-  integrity sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw==
-
 csv-parse@^5.3.9:
   version "5.3.9"
   resolved "https://registry.yarnpkg.com/csv-parse/-/csv-parse-5.3.9.tgz#7af0daa161b0213080bb2cdffacd9b699cf48963"
@@ -9440,11 +9399,12 @@ kolibri-constants@^0.2.0:
   resolved "https://registry.yarnpkg.com/kolibri-constants/-/kolibri-constants-0.2.5.tgz#2b9df4c477119d0ade2d66bf8aef8a4172f0418f"
   integrity sha512-ZoFZ83xgteZhFZtYjiOmITcZeSF+X42i12TOo87zmcdA78jj0dZbPYB+ttO855UxoKY8h4HHeDVZIUkE5TGa5g==
 
-kolibri-design-system@^5.0.0-rc11:
-  version "5.0.0-rc11"
-  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc11.tgz#433b31d25337255708cf1bc28b86e4d619962f98"
-  integrity sha512-g3mxd+Bd82al5Bf3zfO3tizItI/LeMVCUVXwifv8rtbukIa5aoWDwCTUJkdnEQCFSZR5WQ0k9mhieIAe47ebvQ==
+kolibri-design-system@5.0.0-rc10:
+  version "5.0.0-rc10"
+  resolved "https://registry.yarnpkg.com/kolibri-design-system/-/kolibri-design-system-5.0.0-rc10.tgz#8c92a1b097878a2a8e2f67cda76771914f77b7b8"
+  integrity sha512-Dkk5D5PunIm+qPsIMmgo06rjA0BkPZOOpeABuPgZmtpXcFwhpAP07VrLs0LhvFBdSFri3aJDXj/kj7HskXLhWg==
   dependencies:
+    "@vue/composition-api" "1.7.2"
     aphrodite "https://github.com/learningequality/aphrodite/"
     autosize "3.0.21"
     color "3.2.1"
@@ -9456,7 +9416,6 @@ kolibri-design-system@^5.0.0-rc11:
     popper.js "1.16.1"
     purecss "2.2.0"
     tippy.js "4.3.5"
-    vue "2"
     vue-intl "3.1.0"
     vue2-teleport "1.1.4"
     xstate "4.38.3"
@@ -10232,11 +10191,6 @@ nanoid@^3.3.6:
   resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.6.tgz#443380c856d6e9f9824267d960b4236ad583ea4c"
   integrity sha512-BGcqMMJuToF7i1rt+2PWSNVnWIkGCU78jBG3RxO/bZlnZPK2Cmi2QaffxGO/2RvWi9sL+FAiRiXMgsyxQ1DIDA==
 
-nanoid@^3.3.7:
-  version "3.3.8"
-  resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.8.tgz#b1be3030bee36aaff18bacb375e5cce521684baf"
-  integrity sha512-WNLf5Sd8oZxOm+TzppcYk8gVOgP+l58xNy58D0nbUnOxOWRWvlcCV4kUF7ltmI6PsrLl/BgKEyS4mqsGChFN0w==
-
 nanomatch@^1.2.9:
   version "1.2.13"
   resolved "https://registry.yarnpkg.com/nanomatch/-/nanomatch-1.2.13.tgz#b87a8aa4fc0de8fe6be88895b38983ff265bd119"
@@ -10921,11 +10875,6 @@ picocolors@^1.0.1:
   resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.0.1.tgz#a8ad579b571952f0e5d25892de5445bcfe25aaa1"
   integrity sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew==
 
-picocolors@^1.1.1:
-  version "1.1.1"
-  resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.1.1.tgz#3d321af3eab939b083c8f929a1d12cda81c26b6b"
-  integrity sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==
-
 picomatch@^2.0.4, picomatch@^2.2.1, picomatch@^2.2.2, picomatch@^2.2.3, picomatch@^2.3.1:
   version "2.3.1"
   resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.1.tgz#3ba3833733646d9d3e4995946c1365a67fb07a42"
@@ -11300,15 +11249,6 @@ postcss@^8.2.14:
     picocolors "^1.0.0"
     source-map-js "^1.0.2"
 
-postcss@^8.4.14:
-  version "8.4.49"
-  resolved "https://registry.yarnpkg.com/postcss/-/postcss-8.4.49.tgz#4ea479048ab059ab3ae61d082190fabfd994fe19"
-  integrity sha512-OCVPnIObs4N29kxTjzLfUryOkvZEq+pf8jTF0lg8E7uETuWHA+v7j3c/xJmiqpX450191LlmZfUKkXxkTry7nA==
-  dependencies:
-    nanoid "^3.3.7"
-    picocolors "^1.1.1"
-    source-map-js "^1.2.1"
-
 postcss@^8.4.16, postcss@^8.4.19, postcss@^8.4.21, postcss@^8.4.6:
   version "8.4.23"
   resolved "https://registry.yarnpkg.com/postcss/-/postcss-8.4.23.tgz#df0aee9ac7c5e53e1075c24a3613496f9e6552ab"
@@ -12528,11 +12468,6 @@ source-map-js@^1.0.1, source-map-js@^1.0.2:
   resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.0.2.tgz#adbc361d9c62df380125e7f161f71c826f1e490c"
   integrity sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==
 
-source-map-js@^1.2.1:
-  version "1.2.1"
-  resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.2.1.tgz#1ce5650fddd87abc099eda37dcff024c2667ae46"
-  integrity sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==
-
 source-map-resolve@^0.5.0, source-map-resolve@^0.5.2:
   version "0.5.3"
   resolved "https://registry.yarnpkg.com/source-map-resolve/-/source-map-resolve-0.5.3.tgz#190866bece7553e1f8f267a2ee82c606b5509a1a"
@@ -12798,7 +12733,16 @@ string-trim-spaces-only@^3.1.0:
   dependencies:
     "@babel/runtime" "^7.14.0"
 
-"string-width-cjs@npm:string-width@^4.2.0", "string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.3:
+"string-width-cjs@npm:string-width@^4.2.0":
+  version "4.2.3"
+  resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
+  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
+  dependencies:
+    emoji-regex "^8.0.0"
+    is-fullwidth-code-point "^3.0.0"
+    strip-ansi "^6.0.1"
+
+"string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.3:
   version "4.2.3"
   resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
   integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
@@ -12944,7 +12888,14 @@ stringify-object@^3.3.0:
     is-obj "^1.0.1"
     is-regexp "^1.0.0"
 
-"strip-ansi-cjs@npm:strip-ansi@^6.0.1", strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1:
+"strip-ansi-cjs@npm:strip-ansi@^6.0.1":
+  version "6.0.1"
+  resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
+  integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
+  dependencies:
+    ansi-regex "^5.0.1"
+
+strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1:
   version "6.0.1"
   resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
   integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
@@ -14122,14 +14073,6 @@ vue2-teleport@1.1.4:
   resolved "https://registry.yarnpkg.com/vue2-teleport/-/vue2-teleport-1.1.4.tgz#30c84b1005bf9c208b1c05f4b6147300c54ee846"
   integrity sha512-mGTszyQP6k3sSSk7MBq+PZdVojHYLwg5772hl3UVpu5uaLBqWIZ5eNP6/TjkDrf1XUTTxybvpXC6inpjwO+i/Q==
 
-vue@2:
-  version "2.7.16"
-  resolved "https://registry.yarnpkg.com/vue/-/vue-2.7.16.tgz#98c60de9def99c0e3da8dae59b304ead43b967c9"
-  integrity sha512-4gCtFXaAA3zYZdTp5s4Hl2sozuySsgz4jy1EnpBHNfpMa9dK1ZCG7viqBPCwXtmgc8nHqUsAu3G4gtmXkkY3Sw==
-  dependencies:
-    "@vue/compiler-sfc" "2.7.16"
-    csstype "^3.1.0"
-
 vue@^2.6.12:
   version "2.6.14"
   resolved "https://registry.yarnpkg.com/vue/-/vue-2.6.14.tgz#e51aa5250250d569a3fbad3a8a5a687d6036e235"
@@ -14686,8 +14629,7 @@ workbox-window@7.0.0, workbox-window@^7.0.0:
     "@types/trusted-types" "^2.0.2"
     workbox-core "7.0.0"
 
-"wrap-ansi-cjs@npm:wrap-ansi@^7.0.0", wrap-ansi@^7.0.0:
-  name wrap-ansi-cjs
+"wrap-ansi-cjs@npm:wrap-ansi@^7.0.0":
   version "7.0.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
   integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
@@ -14705,6 +14647,15 @@ wrap-ansi@^6.2.0:
     string-width "^4.1.0"
     strip-ansi "^6.0.0"
 
+wrap-ansi@^7.0.0:
+  version "7.0.0"
+  resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
+  integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
+  dependencies:
+    ansi-styles "^4.0.0"
+    string-width "^4.1.0"
+    strip-ansi "^6.0.0"
+
 wrap-ansi@^8.1.0:
   version "8.1.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-8.1.0.tgz#56dc22368ee570face1b49819975d9b9a5ead214"

From 3f7a9aabdb0c3c0d95da7a14308c66d4569d72ea Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 31 Mar 2025 22:33:08 +0300
Subject: [PATCH 36/41] api connection code tweaks

---
 .../automation/utils/appnexus/base.py         |  12 +-
 .../components/RecommendedResourceCard.vue    |   6 +-
 .../SearchOrBrowseWindow.vue                  | 221 +++++++++---------
 .../views/ImportFromChannels/sampleData.js    |   3 -
 .../vuex/importFromChannels/actions.js        |   6 +-
 .../frontend/shared/data/resources.js         |  23 ++
 .../utils/automation_manager.py               |   7 +-
 .../contentcuration/utils/recommendations.py  | 152 ++++++++----
 .../viewsets/recommendation.py                |   8 +-
 9 files changed, 270 insertions(+), 168 deletions(-)
 delete mode 100644 contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js

diff --git a/contentcuration/automation/utils/appnexus/base.py b/contentcuration/automation/utils/appnexus/base.py
index 07ccc5aa70..79dd6548dc 100644
--- a/contentcuration/automation/utils/appnexus/base.py
+++ b/contentcuration/automation/utils/appnexus/base.py
@@ -77,7 +77,7 @@ def __new__(cls, *args, **kwargs):
 
     def __init__(
         self,
-        url_prefix="",
+        url_prefix="stable",
     ):
         self.url_prefix = url_prefix
         if not self.session:
@@ -160,8 +160,9 @@ def _make_request(self, request):
     def connect(self, **kwargs):
         """ Establishes a connection to the backend service. """
         try:
-            request = BackendRequest(method="GET", path=self.connect_endpoint, **kwargs)
-            self._make_request(request)
+            # TODO: Uncomment the lines below after the connect endpoint is implemented
+            # request = BackendRequest(method="GET", path=self.connect_endpoint, **kwargs)
+            # self._make_request(request)
             return True
         except Exception:
             return False
@@ -169,8 +170,9 @@ def connect(self, **kwargs):
     def make_request(self, request):
         """ Make a request to the backend service. """
         try:
-            response = self._make_request(request)
-            return BackendResponse(data=response.json())
+            api_response = self._make_request(request)
+            response_data = api_response.json()
+            return BackendResponse(data=response_data)
         except ValueError as e:
             logging.exception(e)
             raise errors.InvalidResponse("Invalid response from backend")
diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index ef0d541efb..ed6e7337d6 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -71,10 +71,12 @@
     computed: {
       ...mapState('importFromChannels', ['selected']),
       channelName() {
-        //Todo: We'll most likely not have null channel names, so remove check after integration
-        return this.node.channel?.name || '';
+        return this.node.channel.name;
       },
       learningActivities() {
+        if (this.node.learning_activities && Object.keys(this.node.learning_activities).length) {
+          return this.node.learning_activities;
+        }
         return {
           [ContentKindLearningActivityDefaults[this.node.kind] || LearningActivities.EXPLORE]: true,
         };
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 48a1ed5324..51118640ff 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -174,9 +174,8 @@
   import SearchResultsList from './SearchResultsList';
   import SavedSearchesModal from './SavedSearchesModal';
   import ImportFromChannelsModal from './ImportFromChannelsModal';
-  import { thumbnail } from './sampleData';
   import { withChangeTracker } from 'shared/data/changes';
-  import { ContentKindsNames } from 'shared/leUtils/ContentKinds';
+  import { formatUUID4 } from 'shared/data/resources';
   import { searchRecommendationsStrings } from 'shared/strings/searchRecommendationsStrings';
 
   export default {
@@ -204,7 +203,6 @@
         resourcesMightBeRelevantTitle$,
         problemShowingResourcesMessage$,
         aboutRecommendationsDescription$,
-        resourcesInChannelMightBeRelevantTitle$,
         aboutRecommendationsFeedbackDescription$,
       } = searchRecommendationsStrings;
 
@@ -224,7 +222,6 @@
         resourcesMightBeRelevantTitle$,
         problemShowingResourcesMessage$,
         aboutRecommendationsDescription$,
-        resourcesInChannelMightBeRelevantTitle$,
         aboutRecommendationsFeedbackDescription$,
         layoutFitsTwoColumns,
       };
@@ -243,7 +240,7 @@
         displayedRecommendations: [],
         recommendationsLoading: false,
         recommendationsLoadingError: false,
-        recommendationsPageSize: 1,
+        recommendationsPageSize: 10,
         recommendationsCurrentIndex: 0,
         recommendationsBelowThreshold: false,
         showNoDirectMatches: false,
@@ -255,9 +252,7 @@
     computed: {
       ...mapGetters('importFromChannels', ['savedSearchesExist']),
       ...mapGetters(['isAIFeatureEnabled']),
-      ...mapGetters('contentNode', ['getContentNodeAncestors']),
       ...mapState('importFromChannels', ['selected']),
-      ...mapState('currentChannel', ['currentChannelId']),
       isBrowsing() {
         return this.$route.name === RouteNames.IMPORT_FROM_CHANNELS_BROWSE;
       },
@@ -317,29 +312,60 @@
       },
       browseWindowStyle() {
         return {
-          width: this.isAIFeatureEnabled ? '1200px' : '800px',
+          maxWidth: this.isAIFeatureEnabled ? '1200px' : '800px',
         };
       },
-      firstAncestor() {
-        const ancestors = this.getContentNodeAncestors(this.topicId, true);
-        return ancestors?.[0] ?? null;
-      },
       topicId() {
-        return this.$route.params.nodeId;
+        return this.importDestinationFolder?.id;
       },
       recommendationsSectionTitle() {
-        if (this.firstAncestor) {
-          return this.resourcesInChannelMightBeRelevantTitle$({
-            channelName: this.firstAncestor?.title,
-            topic: this.importDestination,
-          });
-        }
         return this.resourcesMightBeRelevantTitle$({
-          topic: this.importDestination,
+          topic: this.importDestinationTitle,
+        });
+      },
+      topicAncestors() {
+        const ancestors = this.importDestinationAncestors.slice(0, -1);
+        return ancestors.map((ancestor, index) => {
+          return {
+            id: formatUUID4(ancestor.id),
+            title: ancestor.title,
+            description: ancestor.description,
+            language: this.recommendationsLanguage,
+            level: index,
+          };
         });
       },
-      importDestination() {
-        return this.importDestinationAncestors.slice(-1)[0]?.title || '';
+      embedTopicRequest() {
+        return {
+          topics: [
+            {
+              id: formatUUID4(this.importDestinationFolder.id),
+              title: this.importDestinationFolder.title,
+              description: this.importDestinationFolder.description,
+              language: this.recommendationsLanguage,
+              ancestors: this.topicAncestors,
+            },
+          ],
+          metadata: {
+            channel_id: formatUUID4(this.importDestinationFolder.channel_id),
+          },
+        };
+      },
+      importDestinationFolder() {
+        return this.importDestinationAncestors.slice(-1)[0];
+      },
+      importDestinationTitle() {
+        return this.importDestinationFolder?.title || '';
+      },
+      recommendationsLanguage() {
+        // Find the closest non-(null/empty) language in the ancestral tree
+        for (let i = this.importDestinationAncestors.length - 1; i >= 0; i--) {
+          const ancestor = this.importDestinationAncestors[i];
+          if (ancestor.language) {
+            return ancestor.language;
+          }
+        }
+        return '';
       },
     },
     beforeRouteEnter(to, from, next) {
@@ -364,14 +390,14 @@
       this.searchTerm = this.$route.params.searchTerm || '';
       this.loadAncestors({ id: this.$route.params.destNodeId }).then(ancestors => {
         this.importDestinationAncestors = ancestors;
-        this.loadRecommendations();
+        this.loadRecommendations(this.recommendationsBelowThreshold);
       });
     },
     methods: {
       ...mapActions('channel', ['loadChannel']),
       ...mapActions('clipboard', ['copy']),
       ...mapActions('contentNode', ['loadAncestors', 'loadPublicContentNode']),
-      ...mapActions('importFromChannels', ['fetchResourceSearchResults']),
+      ...mapActions('importFromChannels', ['fetchRecommendations']),
       ...mapMutations('importFromChannels', {
         selectNodes: 'SELECT_NODES',
         deselectNodes: 'DESELECT_NODES',
@@ -444,117 +470,88 @@
             this.displayedRecommendations = this.recommendations.slice(0, nextIndex);
             this.recommendationsCurrentIndex = nextIndex;
             this.showViewMoreRecommendations = this.moreRecommendationsAvailable;
+            this.showShowOtherResources = !this.showViewMoreRecommendations;
           } else if (this.shouldLoadOtherRecommendations) {
             this.loadRecommendations(true);
           } else {
-            this.displayedRecommendations = [
-              ...this.recommendations,
-              ...this.otherRecommendations.slice(0, nextIndex - this.recommendations.length),
-            ];
+            const limit = nextIndex - this.recommendations.length;
+            this.updateDisplayedRecommendations(limit);
             this.recommendationsCurrentIndex = nextIndex;
-            if (this.showNoDirectMatches) {
-              this.showNoDirectMatches = this.moreRecommendationsAvailable;
-            }
-            if (this.showShowOtherResources) {
-              this.showShowOtherResources = this.moreRecommendationsAvailable;
-            }
+
+            const moreAvailable = this.moreRecommendationsAvailable;
+            this.showNoDirectMatches = this.showNoDirectMatches && moreAvailable;
+            this.showShowOtherResources = this.showShowOtherResources && moreAvailable;
           }
         } else {
           this.loadRecommendations(this.recommendationsBelowThreshold);
         }
       },
-      async loadRecommendations(belowThreshold = false) {
+      async loadRecommendations(belowThreshold) {
         if (this.isAIFeatureEnabled) {
           this.recommendationsLoading = true;
           this.recommendationsLoadingError = false;
           try {
-            return this.fetchRecommendations(belowThreshold).then(async recommendations => {
-              return await this.fetchRecommendedNodes(recommendations).then(nodes => {
-                const recommendations = nodes.filter(Boolean);
-                const pageSize = this.recommendationsPageSize;
-                const currentIndex = this.recommendationsCurrentIndex;
-
-                if (belowThreshold) {
-                  this.otherRecommendations = recommendations;
-                  this.displayedRecommendations = [
-                    ...this.recommendations,
-                    ...this.otherRecommendations.slice(0, pageSize),
-                  ];
-                  this.recommendationsCurrentIndex = currentIndex + pageSize;
-
-                  const isEmpty = this.otherRecommendations.length === 0;
-                  if (this.showNoDirectMatches) {
-                    this.showNoDirectMatches = !isEmpty;
-                  }
-                  if (this.showShowOtherResources) {
-                    this.showShowOtherResources = !isEmpty;
-                  }
-                  this.otherRecommendationsLoaded = true;
-                } else {
-                  this.recommendations = recommendations;
-                  this.displayedRecommendations = this.recommendations.slice(0, pageSize);
-                  this.recommendationsCurrentIndex = pageSize;
-
-                  const count = this.recommendations.length;
-                  this.showNoDirectMatches = count === 0;
-                  this.showShowOtherResources = count > pageSize;
-                  this.showViewMoreRecommendations = currentIndex < count;
-                }
-                this.recommendationsBelowThreshold = belowThreshold;
-                this.recommendationsLoading = false;
-              });
-            });
+            const data = {
+              ...this.embedTopicRequest,
+              override_threshold: belowThreshold,
+            };
+            const recommendations = await this.fetchRecommendations(data);
+            const recommendedNodes = await this.fetchRecommendedNodes(recommendations);
+            const pageSize = this.recommendationsPageSize;
+            const currentIndex = this.recommendationsCurrentIndex;
+
+            if (belowThreshold) {
+              const nodeIds = new Set(this.recommendations.map(node => node.id));
+              this.otherRecommendations = recommendedNodes.filter(node => !nodeIds.has(node.id));
+              this.updateDisplayedRecommendations(pageSize);
+              this.recommendationsCurrentIndex = currentIndex + pageSize;
+
+              const moreAvailable = this.moreRecommendationsAvailable;
+              this.showNoDirectMatches = this.showNoDirectMatches && moreAvailable;
+              this.showShowOtherResources = this.showShowOtherResources && moreAvailable;
+              this.otherRecommendationsLoaded = true;
+            } else {
+              this.recommendations = recommendedNodes;
+              this.displayedRecommendations = this.recommendations.slice(0, pageSize);
+              this.recommendationsCurrentIndex = pageSize;
+
+              const count = this.recommendations.length;
+              this.showNoDirectMatches = count === 0;
+              this.showViewMoreRecommendations = this.moreRecommendationsAvailable;
+              this.showShowOtherResources = !this.showViewMoreRecommendations;
+            }
+            this.recommendationsBelowThreshold = belowThreshold;
+            this.recommendationsLoading = false;
           } catch (error) {
             this.recommendationsLoading = false;
             this.recommendationsLoadingError = true;
           }
         }
       },
-      // eslint-disable-next-line no-unused-vars
-      async fetchRecommendations(belowThreshold) {
-        // This is a placeholder for the api call that interacts with
-        // the recommender models based on current context. For now, we just
-        // load all local public nodes for visual testing purposes.
-        return this.fetchResourceSearchResults({
-          page_size: 25,
-          exclude_channel: this.currentChannelId,
-        }).then(response => {
-          const resources = response.results.filter(resource => {
-            return resource.kind !== ContentKindsNames.TOPIC;
-          });
-          return resources.map(resource => {
-            return {
-              id: resource.id,
-              node_id: resource.node_id,
-              main_tree_id: resource.root_id,
-              parent_id: resource.parent,
-            };
-          });
-        });
-      },
       async fetchRecommendedNodes(recommendations) {
         return await Promise.all(
           recommendations.map(async recommendation => {
-            try {
-              // loadPublicContentNode is cached, so multiple calls shouldn't be an issue.
-              const node = await this.loadPublicContentNode({
-                id: recommendation.id,
-                nodeId: recommendation.node_id,
-                rootId: recommendation.main_tree_id,
-                parent: recommendation.parent_id,
-              });
-              const channel = await this.loadChannel(node.channel_id);
-
-              return {
-                ...node,
-                thumbnail_src: thumbnail[0], //Temporal. For visual testing of KCard thumbnail only.
-                channel,
-              };
-            } catch {
-              return null;
-            }
+            // loadPublicContentNode is cached, so multiple calls shouldn't be an issue.
+            const node = await this.loadPublicContentNode({
+              id: recommendation.id,
+              nodeId: recommendation.node_id,
+              rootId: recommendation.main_tree_id,
+              parent: recommendation.parent_id,
+            });
+            const channel = await this.loadChannel(node.channel_id);
+
+            return {
+              ...node,
+              channel,
+            };
           })
-        ).then(nodes => nodes.filter(Boolean));
+        );
+      },
+      updateDisplayedRecommendations(limit) {
+        this.displayedRecommendations = [
+          ...this.recommendations,
+          ...this.otherRecommendations.slice(0, limit),
+        ];
       },
     },
     $trs: {
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js
deleted file mode 100644
index c53aaad08a..0000000000
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/sampleData.js
+++ /dev/null
@@ -1,3 +0,0 @@
-export const thumbnail = [
-  'data:image/png;base64,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',
-];
diff --git a/contentcuration/contentcuration/frontend/channelEdit/vuex/importFromChannels/actions.js b/contentcuration/contentcuration/frontend/channelEdit/vuex/importFromChannels/actions.js
index f7d7c9f212..363b80277b 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/vuex/importFromChannels/actions.js
+++ b/contentcuration/contentcuration/frontend/channelEdit/vuex/importFromChannels/actions.js
@@ -4,7 +4,7 @@ import client from 'shared/client';
 import urls from 'shared/urls';
 import { ChannelListTypes } from 'shared/constants';
 
-import { Channel, SavedSearch } from 'shared/data/resources';
+import { Channel, Recommendation, SavedSearch } from 'shared/data/resources';
 
 export async function fetchResourceSearchResults(context, params) {
   params = { ...params };
@@ -111,3 +111,7 @@ export function deleteSearch({ commit }, searchId) {
     return searchId;
   });
 }
+
+export function fetchRecommendations(context, params) {
+  return Recommendation.fetchCollection(params);
+}
diff --git a/contentcuration/contentcuration/frontend/shared/data/resources.js b/contentcuration/contentcuration/frontend/shared/data/resources.js
index 3c0c74fbea..d914098f6e 100644
--- a/contentcuration/contentcuration/frontend/shared/data/resources.js
+++ b/contentcuration/contentcuration/frontend/shared/data/resources.js
@@ -93,6 +93,20 @@ export function uuid4() {
   return uuidv4().replace(/-/g, '');
 }
 
+export function formatUUID4(uuid) {
+  if (!uuid || typeof uuid !== 'string') {
+    return uuid;
+  }
+  const cleanId = uuid.replace(/-/g, '');
+  if (cleanId.length !== 32) {
+    return uuid;
+  }
+  return `${cleanId.slice(0, 8)}-${cleanId.slice(8, 12)}-${cleanId.slice(12, 16)}-${cleanId.slice(
+    16,
+    20
+  )}-${cleanId.slice(20)}`;
+}
+
 /*
  * Code to allow multiple inheritance in JS
  * modified from https://hacks.mozilla.org/2015/08/es6-in-depth-subclassing/
@@ -2288,3 +2302,12 @@ export const Task = new IndexedDBResource({
     });
   },
 });
+
+export const Recommendation = new APIResource({
+  urlName: 'recommendations',
+  fetchCollection(params) {
+    return client.post(this.collectionUrl(), params).then(response => {
+      return response.data || [];
+    });
+  },
+});
diff --git a/contentcuration/contentcuration/utils/automation_manager.py b/contentcuration/contentcuration/utils/automation_manager.py
index b9d29c4dec..cda43aeb37 100644
--- a/contentcuration/contentcuration/utils/automation_manager.py
+++ b/contentcuration/contentcuration/utils/automation_manager.py
@@ -27,17 +27,18 @@ def generate_embeddings(self, channel_id: str, nodes: List[Union[ContentNode, Pu
         """
         return self.adapter.embed_content(channel_id, nodes)
 
-    def load_recommendations(self, topics: List[Dict[str, Any]], override_threshold=False):
+    def load_recommendations(self, request_data: Dict[str, Any], override_threshold=False):
         """
         Loads recommendations for the given topic(s).
 
-        :param topics: A list of topics for which to get recommendations.
+        :param request_data: Topic information necessary for recommendations retrieval. See
+        https://github.com/learningequality/le-utils/blob/main/spec/schema-embed_topics_request.json
         :param override_threshold: A boolean flag to override the recommendation threshold.
 
         :return: A dictionary containing a list of recommendations for the given topic(s).
         """
         recommendations = []
-        response = self.adapter.get_recommendations(topics=topics, override_threshold=override_threshold)
+        response = self.adapter.get_recommendations(request_data, override_threshold)
         if hasattr(response, "results") and isinstance(response.results, list):
             recommendations = response.results
         return recommendations
diff --git a/contentcuration/contentcuration/utils/recommendations.py b/contentcuration/contentcuration/utils/recommendations.py
index f8f0b655af..be0a12e2ec 100644
--- a/contentcuration/contentcuration/utils/recommendations.py
+++ b/contentcuration/contentcuration/utils/recommendations.py
@@ -74,7 +74,7 @@ def __init__(self, **kwargs):
 class RecommendationsBackendFactory(BackendFactory):
     def create_backend(self) -> Backend:
         backend = Recommendations()
-        backend.base_url = settings.CURRICULUM_AUTOMATION_URL
+        backend.base_url = settings.CURRICULUM_AUTOMATION_API_URL
         backend.connect_endpoint = "/connect"
         return backend
 
@@ -114,9 +114,9 @@ def response_exists(self, request) -> Union[EmbeddingsResponse, None]:
             data = list(RecommendationsCache.objects
                         .filter(request_hash=request_hash, override_threshold=override_threshold)
                         .order_by('override_threshold', 'rank')
-                        .values('contentnode_id', 'rank'))
+                        .values('topic_id', 'rank', 'channel_id', node_id=F('contentnode_id')))
             if len(data) > 0:
-                return EmbeddingsResponse(data=data)
+                return EmbeddingsResponse(data=self._unflatten_response(data))
             else:
                 return None
         except Exception as e:
@@ -164,7 +164,9 @@ def cache_embeddings_request(self, request: BackendRequest, response: BackendRes
             new_cache = [
                 RecommendationsCache(
                     request_hash=request_hash,
+                    topic_id=node['topic_id'],
                     contentnode_id=node['node_id'],
+                    channel_id=node['channel_id'],
                     rank=node['rank'],
                     override_threshold=override_threshold,
                 ) for node in valid_nodes
@@ -185,12 +187,12 @@ def _extract_override_threshold(self, request) -> bool:
         """
         return request.params.get('override_threshold', False) if request.params else False
 
-    def get_recommendations(self, topics: List[Dict[str, Any]],
+    def get_recommendations(self, request_data: Dict[str, Any],
                             override_threshold=False) -> RecommendationsResponse:
         """
         Get recommendations for the given topic(s).
 
-        :param topics: A list of topics for which to get recommendations. See
+        :param request_data: Topic information necessary for recommendations retrieval. See
         https://github.com/learningequality/le-utils/blob/main/spec/schema-embed_topics_request.json
         :param override_threshold: A boolean flag to override the recommendation threshold.
         :return: The recommendations for the given topic. :rtype: RecommendationsResponse
@@ -201,7 +203,7 @@ def get_recommendations(self, topics: List[Dict[str, Any]],
             method='POST',
             path='/recommend',
             params={'override_threshold': override_threshold},
-            json=topics,
+            json=request_data,
         )
 
         cached_response = self.response_exists(request)
@@ -209,14 +211,19 @@ def get_recommendations(self, topics: List[Dict[str, Any]],
             response = cached_response
         else:
             response = self.generate_embeddings(request=request)
-            if not response.error:
+            if not getattr(response, 'error', None):
                 self.cache_embeddings_request(request, response)
+            else:
+                exception = getattr(response, 'error')
+                if isinstance(exception, Exception):
+                    raise exception
+                else:
+                    raise Exception(f"Error generating recommendations: {exception}")
 
         recommended_nodes = self._flatten_response(response)
         if len(recommended_nodes) > 0:
             node_ids = self._extract_node_ids(recommended_nodes)
             cast_node_ids = [uuid.UUID(node_id) for node_id in node_ids]
-
             channel_cte = With(
                 Channel.objects.annotate(
                     channel_id=self._cast_to_uuid(F('id'))
@@ -245,56 +252,119 @@ def get_recommendations(self, topics: List[Dict[str, Any]],
                 'parent_id',
             )
 
-        return RecommendationsResponse(results=recommendations)
+            # Add the corresponding channel_id to the recommendations
+            node_to_channel = {node['node_id']: node['channel_id'] for node in recommended_nodes}
+            for recommendation in recommendations:
+                recommendation['channel_id'] = node_to_channel.get(recommendation['node_id'])
+
+        return RecommendationsResponse(results=list(recommendations))
 
     def _flatten_response(self, response: BackendResponse) -> List[Dict[str, Any]]:
         """
-        Flattens the recommendations response.
-
-        The response parameter is of the form:
+        Flattens the nested structure of recommendations.
 
+        The input format is of the form below. Some fields are marked optional as they are returned
+        by the API but are not required to make recommendations:
         {
-          "response": {
             "topics": [
-              {
-                "id": "8d478f3605fd4476adface9be9cf6db3",
-                "recommendations": [
-                  {
-                    "id": "7747554350bb5e088ee69e28a4ba769d",
-                    "channel_id": "1d8f6d84618153c18c695d85074952a7",
-                    "title": "One-Step Equations and Inverse Operations (Flexbook)",
-                    "description": "",
-                    "similarity": 0.7308432729798824,
-                    "rank": 1
-                  }
-                ]
-              }
+                {
+                    "id": <topic_id>,
+                    "recommendations": [
+                        {
+                            "id": <node_id>,
+                            "channel_id": <channel_id>,
+                            "title": "", (Optional)
+                            "description": "", (Optional)
+                            "similarity": <similarity>, (Optional)
+                            "rank": <rank>
+                        }
+                    ]
+                }
             ]
-          }
         }
 
+        The output format is a flat list of dictionaries with keys:
+        - topic_id
+        - node_id
+        - channel_id
+        - rank
+
         :param response: The recommendations response to be flattened.
         :return: The flattened list of recommendations by topic.
         :rtype: List[Dict[str, Any]]
         """
         flattened_response = []
         if hasattr(response, 'data') and isinstance(response.data, dict):
-            response_data = response.data.get('response')
-            if isinstance(response_data, dict):
-                topics = response_data.get('topics', [])
-                for topic in topics:
-                    topic_id = topic.get('id')
-                    recommendations = topic.get('recommendations', [])
-                    for recommendation in recommendations:
-                        flattened_response.append({
-                            'topic_id': topic_id,
-                            'node_id': recommendation.get('id'),
-                            'channel_id': recommendation.get('channel_id'),
-                            'similarity': recommendation.get('similarity'),
-                            'rank': recommendation.get('rank'),
-                        })
+            topics = response.data.get('topics', [])
+            for topic in topics:
+                topic_id = topic.get('id')
+                recommendations = topic.get('recommendations', [])
+                for recommendation in recommendations:
+                    flattened_response.append({
+                        'topic_id': topic_id,
+                        'node_id': recommendation.get('id'),
+                        'channel_id': recommendation.get('channel_id'),
+                        'rank': recommendation.get('rank'),
+                    })
+
         return flattened_response
 
+    def _unflatten_response(self, flattened_data: List[Dict[str, Any]]) -> Dict[str, Any]:
+        """
+        Transforms a flat list of recommendations back into the nested structure.
+
+        Input format is a list of dictionaries with keys:
+        - topic_id
+        - node_id
+        - channel_id
+        - rank
+
+        Output format matches the original API response. Some fields are marked optional as they
+        are not required to make recommendations so are omitted in the final response:
+        {
+          "topics": [
+            {
+              "id": <topic_id>,
+              "recommendations": [
+                {
+                  "id": <node_id>,
+                  "channel_id": <channel_id>,
+                  "title": "", (Optional)
+                  "description": "", (Optional)
+                  "similarity": <similarity>, (Optional)
+                  "rank": <rank>
+                }
+              ]
+            }
+          ]
+        }
+
+        :param flattened_data: The flat list of recommendations.
+        :return: The nested structure of topics with their recommendations.
+        :rtype: Dict[str, Any]
+        """
+        topics_dict = {}
+
+        for item in flattened_data:
+            topic_id = item.get('topic_id')
+
+            if topic_id not in topics_dict:
+                topics_dict[topic_id] = {
+                    "id": topic_id.hex if isinstance(topic_id, uuid.UUID) else topic_id,
+                    "recommendations": []
+                }
+
+            node_id = item.get('node_id')
+            channel_id = item.get('channel_id')
+            topics_dict[topic_id]["recommendations"].append({
+                "id": node_id.hex if isinstance(node_id, uuid.UUID) else node_id,
+                "channel_id": channel_id.hex if isinstance(channel_id, uuid.UUID) else channel_id,
+                "rank": item.get('rank')
+            })
+        return {
+            "topics": list(topics_dict.values())
+        }
+
     def _validate_nodes(self, nodes: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
         """
         Validates the recommended nodes by checking if they exist in the database.
diff --git a/contentcuration/contentcuration/viewsets/recommendation.py b/contentcuration/contentcuration/viewsets/recommendation.py
index b4743d9455..f3a1b95155 100644
--- a/contentcuration/contentcuration/viewsets/recommendation.py
+++ b/contentcuration/contentcuration/viewsets/recommendation.py
@@ -37,11 +37,17 @@ def create(self, request, *args, **kwargs):
         serializer.is_valid(raise_exception=True)
 
         topics = serializer.validated_data['topics']
+        metadata = serializer.validated_data.get('metadata', None)
         override_threshold = serializer.validated_data['override_threshold']
 
         try:
             manager = AutomationManager()
-            recommendations = manager.load_recommendations(topics, override_threshold)
+
+            request_data = {'topics': topics}
+            if metadata is not None:
+                request_data['metadata'] = metadata
+
+            recommendations = manager.load_recommendations(request_data, override_threshold)
             return JsonResponse(data=recommendations, safe=False)
         except (ValueError, TypeError) as e:
             return JsonResponse({"error": str(e)}, status=HTTPStatus.BAD_REQUEST)

From 0dc122092475a4ed05c962cfb7c61f89c7c1987d Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Mon, 31 Mar 2025 22:35:45 +0300
Subject: [PATCH 37/41] Fixes failing tests

---
 .../tests/utils/test_recommendations.py       | 206 +++++++++++-------
 1 file changed, 129 insertions(+), 77 deletions(-)

diff --git a/contentcuration/contentcuration/tests/utils/test_recommendations.py b/contentcuration/contentcuration/tests/utils/test_recommendations.py
index d20e1287cb..479d4513d9 100644
--- a/contentcuration/contentcuration/tests/utils/test_recommendations.py
+++ b/contentcuration/contentcuration/tests/utils/test_recommendations.py
@@ -9,6 +9,7 @@
 from mock import MagicMock
 from mock import patch
 
+from contentcuration.models import Channel
 from contentcuration.models import ContentNode
 from contentcuration.tests import testdata
 from contentcuration.tests.base import StudioTestCase
@@ -28,22 +29,44 @@ def test_backend_initialization(self):
 
 class RecommendationsAdapterTestCase(StudioTestCase):
 
+    @classmethod
+    def setUpClass(cls):
+        super(RecommendationsAdapterTestCase, cls).setUpClass()
+
+        cls.channel_1 = Channel.objects.create(
+            id=uuid.UUID('1234567890abcdef1234567890abcdef').hex,
+            name='Channel 1',
+            actor_id=cls.admin_user.id
+        )
+        cls.channel_2 = Channel.objects.create(
+            id=uuid.UUID('abcdef1234567890abcdef1234567890').hex,
+            name='Channel 2',
+            actor_id=cls.admin_user.id
+        )
+
     @classmethod
     def setUpTestData(cls):
         cls.adapter = RecommendationsAdapter(MagicMock())
-        cls.topics = [{
-            'id': 'topic_id',
-            'title': 'topic_title',
-            'description': 'topic_description',
-            'language': 'en',
-            'ancestors': [
+        cls.request_data = {
+            'topics': [
                 {
-                    'id': 'ancestor_id',
-                    'title': 'ancestor_title',
-                    'description': 'ancestor_description',
+                    'id': 'topic_id',
+                    'title': 'topic_title',
+                    'description': 'topic_description',
+                    'language': 'en',
+                    'ancestors': [
+                        {
+                            'id': 'ancestor_id',
+                            'title': 'ancestor_title',
+                            'description': 'ancestor_description',
+                        }
+                    ]
                 }
-            ]
-        }]
+            ],
+            'metadata': {
+                'channel_id': '00000000000000000000000000000010'
+            }
+        }
         cls.channel_id = 'test_channel_id'
         cls.resources = [MagicMock(spec=ContentNode)]
 
@@ -52,45 +75,38 @@ def setUpTestData(cls):
             url='http://test.com',
             path='/test/path',
             params={'override_threshold': False},
-            json=cls.topics
+            json=cls.request_data
         )
         cls.api_response = BackendResponse(data={
-            'response': {
-                'topics': [
-                    {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
-                        {'id': '1234567890abcdef1234567890abcdef', 'rank': 0.9}
-                    ]},
-                    {'id': 'abcdef1234567890abcdef1234567890', 'recommendations': [
-                        {'id': 'abcdef1234567890abcdef1234567890', 'rank': 0.8}
-                    ]},
-                    {'id': '00000000000000000000000000000003', 'recommendations': [
-                        {'id': '00000000000000000000000000000003', 'rank': 0.8}
-                    ]},
-                    {'id': '00000000000000000000000000000005', 'recommendations': [
-                        {'id': '00000000000000000000000000000005', 'rank': 0.8}
-                    ]},
-                ]
-            }
+            'topics': [
+                {'id': 'abcdef1234567890abcdef1234567890', 'recommendations': [
+                    {
+                        'id': 'abcdef1234567890abcdef1234567890',
+                        'channel_id': 'abcdef1234567890abcdef1234567890',
+                        'rank': 8
+                    }
+                ]},
+                {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
+                    {
+                        'id': '1234567890abcdef1234567890abcdef',
+                        'channel_id': '1234567890abcdef1234567890abcdef',
+                        'rank': 9
+                    }
+                ]}
+            ]
         })
 
-        cls.public_content_node_1 = PublicContentNode.objects.create(
-            id=uuid.UUID('1234567890abcdef1234567890abcdef'),
+        PublicContentNode.objects.create(
+            id=uuid.UUID('1234567890abcdef1234567890abcdef').hex,
             title='Public Content Node 1',
-            content_id=uuid.uuid4(),
-            channel_id=uuid.UUID('ddec09d74e834241a580c480ee37879c'),
+            content_id=uuid.uuid4().hex,
+            channel_id=uuid.UUID('ddec09d74e834241a580c480ee37879c').hex,
         )
-        cls.public_content_node_2 = PublicContentNode.objects.create(
-            id=uuid.UUID('abcdef1234567890abcdef1234567890'),
+        PublicContentNode.objects.create(
+            id=uuid.UUID('abcdef1234567890abcdef1234567890').hex,
             title='Public Content Node 2',
-            content_id=uuid.uuid4(),
-            channel_id=uuid.UUID('84fcaec1e0514b62899d7f436384c401'),
-        )
-
-        cls.cache = RecommendationsCache.objects.create(
-            request_hash=cls.adapter._generate_request_hash(cls.request),
-            contentnode=cls.public_content_node_1,
-            rank=1.0,
-            override_threshold=False
+            content_id=uuid.uuid4().hex,
+            channel_id=uuid.UUID('84fcaec1e0514b62899d7f436384c401').hex,
         )
 
     def assert_backend_call(self, mock_response_exists, response_exists_value, connect_value,
@@ -145,14 +161,13 @@ def test_generate_embeddings_failure(self, mock_response_exists):
         self.assertIsNotNone(response.error)
 
     def test_response_exists(self):
-        response = self.adapter.response_exists(self.request)
-        public_content_node_id = str(self.public_content_node_1.id).replace('-', '')
+        cached = self.adapter.cache_embeddings_request(self.request, self.api_response)
+        self.assertTrue(cached)
 
+        response = self.adapter.response_exists(self.request)
         self.assertIsNotNone(response)
         self.assertIsInstance(response, EmbeddingsResponse)
-        self.assertEqual(len(response.data), 1)
-        self.assertEqual(response.data[0]['contentnode_id'], public_content_node_id)
-        self.assertEqual(response.data[0]['rank'], 1.0)
+        self.assertDictEqual(response.data, self.api_response.data)
 
     def test_response_does_not_exist(self):
         new_request = EmbedTopicsRequest(
@@ -178,31 +193,49 @@ def cache_request_test_helper(self, request_json, response_data, expected_count)
         self.assertEqual(cached_items.count(), expected_count)
 
     def test_cache_embeddings_request_success(self):
-        self.cache_request_test_helper([
-            {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
-        ], self.api_response, 2)
+        request_json = {
+            'topics': [
+                {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
+            ],
+            'metadata': {}
+        }
+        self.cache_request_test_helper(request_json, self.api_response, 2)
 
     def test_cache_embeddings_request_empty_data(self):
-        self.cache_request_test_helper([
-            {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
-        ], {}, 0)
+        request_json = {
+            'topics': [
+                {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
+            ],
+            'metadata': {}
+        }
+        self.cache_request_test_helper(request_json, {}, 0)
 
     def test_cache_embeddings_request_ignore_duplicates(self):
+        request_json = {
+            'topics': [
+                {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
+            ],
+            'metadata': {}
+        }
         duplicate_data = BackendResponse(data={
-            'response': {
-                'topics': [
-                    {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
-                        {'id': '1234567890abcdef1234567890abcdef', 'rank': 0.9}
-                    ]},
-                    {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
-                        {'id': '1234567890abcdef1234567890abcdef', 'rank': 0.9}
-                    ]}
-                ]
-            }
+            'topics': [
+                {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
+                    {
+                        'id': '1234567890abcdef1234567890abcdef',
+                        'channel_id': '1234567890abcdef1234567890abcdef',
+                        'rank': 1
+                    }
+                ]},
+                {'id': '1234567890abcdef1234567890abcdef', 'recommendations': [
+                    {
+                        'id': '1234567890abcdef1234567890abcdef',
+                        'channel_id': '1234567890abcdef1234567890abcdef',
+                        'rank': 2
+                    }
+                ]}
+            ]
         })
-        self.cache_request_test_helper([
-            {'id': 'topic_id', 'title': 'topic_title', 'description': 'topic_description'}
-        ], duplicate_data, 1)
+        self.cache_request_test_helper(request_json, duplicate_data, 1)
 
     def test_cache_embeddings_request_invalid_data(self):
         invalid_data = BackendResponse(data={
@@ -223,28 +256,47 @@ def test_get_recommendations_success(self, mock_embed_topics_request, mock_respo
         channel.save()
 
         public_node_1 = PublicContentNode.objects.create(
-            id=uuid.UUID('00000000000000000000000000000003'),
+            id=uuid.UUID('00000000000000000000000000000003').hex,
             title='Video 1',
-            content_id=uuid.uuid4(),
-            channel_id=uuid.UUID(channel.id),
+            content_id=uuid.uuid4().hex,
+            channel_id=uuid.UUID(channel.id).hex,
         )
         public_node_2 = PublicContentNode.objects.create(
-            id=uuid.UUID('00000000000000000000000000000005'),
+            id=uuid.UUID('00000000000000000000000000000005').hex,
             title='Exercise 1',
-            content_id=uuid.uuid4(),
-            channel_id=uuid.UUID(channel.id),
+            content_id=uuid.uuid4().hex,
+            channel_id=uuid.UUID(channel.id).hex,
         )
 
+        response_data = {
+            'topics': [
+                {'id': '00000000000000000000000000000003', 'recommendations': [
+                    {
+                        'id': '00000000000000000000000000000003',
+                        'channel_id': '00000000000000000000000000000003',
+                        'rank': 10
+                    }
+                ]},
+                {'id': '00000000000000000000000000000005', 'recommendations': [
+                    {
+                        'id': '00000000000000000000000000000005',
+                        'channel_id': '00000000000000000000000000000005',
+                        'rank': 11
+                    }
+                ]}
+            ]
+        }
+
         mock_response_exists.return_value = None
         mock_response = MagicMock(spec=EmbeddingsResponse)
-        mock_response.data = copy.deepcopy(self.api_response.data)
+        mock_response.data = response_data
         mock_response.error = None
         mock_response.get = lambda key, default=None: getattr(mock_response, key, default)
         mock_generate_embeddings.return_value = mock_response
 
-        response = self.adapter.get_recommendations(self.topics)
+        response = self.adapter.get_recommendations(self.request_data)
         results = list(response.results)
-        expected_node_ids = [public_node_1.id.hex, public_node_2.id.hex]
+        expected_node_ids = [public_node_1.id, public_node_2.id]
         actual_node_ids = [result["node_id"] for result in results]
 
         mock_response_exists.assert_called_once()
@@ -262,7 +314,7 @@ def test_get_recommendations_failure(self, mock_embed_topics_request, mock_respo
         mock_embed_topics_request.return_value = mock_request_instance
 
         self.assert_backend_call(mock_response_exists, None, False, None,
-                                 self.adapter.get_recommendations, self.topics)
+                                 self.adapter.get_recommendations, self.request_data)
 
     @patch('contentcuration.utils.recommendations.RecommendationsAdapter._flatten_response')
     @patch('contentcuration.utils.recommendations.RecommendationsAdapter.response_exists')

From e443f49d94433ca0de1364df79e1f0af626f4856 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 1 Apr 2025 15:23:44 +0300
Subject: [PATCH 38/41] Updates /connect endpoint to use new response

---
 contentcuration/automation/utils/appnexus/base.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/contentcuration/automation/utils/appnexus/base.py b/contentcuration/automation/utils/appnexus/base.py
index 79dd6548dc..616c057c93 100644
--- a/contentcuration/automation/utils/appnexus/base.py
+++ b/contentcuration/automation/utils/appnexus/base.py
@@ -160,10 +160,11 @@ def _make_request(self, request):
     def connect(self, **kwargs):
         """ Establishes a connection to the backend service. """
         try:
-            # TODO: Uncomment the lines below after the connect endpoint is implemented
-            # request = BackendRequest(method="GET", path=self.connect_endpoint, **kwargs)
-            # self._make_request(request)
-            return True
+            request = BackendRequest(method="GET", path=self.connect_endpoint, **kwargs)
+            api_response = self._make_request(request)
+            response_data = api_response.json()
+            status = response_data.get("status", None)
+            return status == "OK"
         except Exception:
             return False
 

From 39568add247993142cf82b649c3468cacfe12535 Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 8 Apr 2025 14:02:56 +0300
Subject: [PATCH 39/41] Implements review feedback

---
 .../SearchOrBrowseWindow.vue                  | 11 +----
 .../frontend/shared/data/resources.js         |  2 +-
 .../tests/utils/test_recommendations.py       | 20 ++++----
 .../tests/viewsets/test_recommendations.py    | 37 +++++++++++---
 contentcuration/contentcuration/urls.py       |  4 +-
 .../contentcuration/utils/recommendations.py  | 13 ++++-
 .../viewsets/recommendation.py                | 49 ++++++-------------
 .../contentcuration/viewsets/user.py          | 21 ++++++++
 8 files changed, 93 insertions(+), 64 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 51118640ff..96f931f549 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -250,6 +250,7 @@
       };
     },
     computed: {
+      ...mapGetters('currentChannel', ['currentChannel']),
       ...mapGetters('importFromChannels', ['savedSearchesExist']),
       ...mapGetters(['isAIFeatureEnabled']),
       ...mapState('importFromChannels', ['selected']),
@@ -365,7 +366,7 @@
             return ancestor.language;
           }
         }
-        return '';
+        return this.currentChannel?.language || '';
       },
     },
     beforeRouteEnter(to, from, next) {
@@ -597,12 +598,4 @@
     margin-top: 24px;
   }
 
-  .ai-browse-window {
-    width: 1200px;
-  }
-
-  .non-ai-browse-window {
-    width: 1000px;
-  }
-
 </style>
diff --git a/contentcuration/contentcuration/frontend/shared/data/resources.js b/contentcuration/contentcuration/frontend/shared/data/resources.js
index d914098f6e..57491f0422 100644
--- a/contentcuration/contentcuration/frontend/shared/data/resources.js
+++ b/contentcuration/contentcuration/frontend/shared/data/resources.js
@@ -2306,7 +2306,7 @@ export const Task = new IndexedDBResource({
 export const Recommendation = new APIResource({
   urlName: 'recommendations',
   fetchCollection(params) {
-    return client.post(this.collectionUrl(), params).then(response => {
+    return client.post(window.Urls.recommendations(), params).then(response => {
       return response.data || [];
     });
   },
diff --git a/contentcuration/contentcuration/tests/utils/test_recommendations.py b/contentcuration/contentcuration/tests/utils/test_recommendations.py
index 479d4513d9..d286525160 100644
--- a/contentcuration/contentcuration/tests/utils/test_recommendations.py
+++ b/contentcuration/contentcuration/tests/utils/test_recommendations.py
@@ -34,12 +34,12 @@ def setUpClass(cls):
         super(RecommendationsAdapterTestCase, cls).setUpClass()
 
         cls.channel_1 = Channel.objects.create(
-            id=uuid.UUID('1234567890abcdef1234567890abcdef').hex,
+            id='1234567890abcdef1234567890abcdef',
             name='Channel 1',
             actor_id=cls.admin_user.id
         )
         cls.channel_2 = Channel.objects.create(
-            id=uuid.UUID('abcdef1234567890abcdef1234567890').hex,
+            id='abcdef1234567890abcdef1234567890',
             name='Channel 2',
             actor_id=cls.admin_user.id
         )
@@ -97,16 +97,16 @@ def setUpTestData(cls):
         })
 
         PublicContentNode.objects.create(
-            id=uuid.UUID('1234567890abcdef1234567890abcdef').hex,
+            id='1234567890abcdef1234567890abcdef',
             title='Public Content Node 1',
             content_id=uuid.uuid4().hex,
-            channel_id=uuid.UUID('ddec09d74e834241a580c480ee37879c').hex,
+            channel_id='ddec09d74e834241a580c480ee37879c',
         )
         PublicContentNode.objects.create(
-            id=uuid.UUID('abcdef1234567890abcdef1234567890').hex,
+            id='abcdef1234567890abcdef1234567890',
             title='Public Content Node 2',
             content_id=uuid.uuid4().hex,
-            channel_id=uuid.UUID('84fcaec1e0514b62899d7f436384c401').hex,
+            channel_id='84fcaec1e0514b62899d7f436384c401',
         )
 
     def assert_backend_call(self, mock_response_exists, response_exists_value, connect_value,
@@ -256,16 +256,16 @@ def test_get_recommendations_success(self, mock_embed_topics_request, mock_respo
         channel.save()
 
         public_node_1 = PublicContentNode.objects.create(
-            id=uuid.UUID('00000000000000000000000000000003').hex,
+            id='00000000000000000000000000000003',
             title='Video 1',
             content_id=uuid.uuid4().hex,
-            channel_id=uuid.UUID(channel.id).hex,
+            channel_id=channel.id,
         )
         public_node_2 = PublicContentNode.objects.create(
-            id=uuid.UUID('00000000000000000000000000000005').hex,
+            id='00000000000000000000000000000005',
             title='Exercise 1',
             content_id=uuid.uuid4().hex,
-            channel_id=uuid.UUID(channel.id).hex,
+            channel_id=channel.id,
         )
 
         response_data = {
diff --git a/contentcuration/contentcuration/tests/viewsets/test_recommendations.py b/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
index 7c27a54054..ebefdd308a 100644
--- a/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
+++ b/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
@@ -1,5 +1,6 @@
 from django.urls import reverse
 from mock import patch
+from mock.mock import MagicMock
 
 from contentcuration.tests import testdata
 from contentcuration.tests.base import StudioAPITestCase
@@ -51,16 +52,31 @@ def recommendations_list(self):
             }
         ]
 
+    def setup_mock_feature_enabled(self, patch_target='contentcuration.viewsets.user.IsAIFeatureEnabledForUser'):
+        feature_patcher = patch(patch_target)
+        mock_feature_class = feature_patcher.start()
+
+        mock_instance = MagicMock()
+        mock_instance.has_permission.return_value = True
+        mock_instance.has_object_permission.return_value = True
+        mock_feature_class.return_value = mock_instance
+
+        self.addCleanup(feature_patcher.stop)
+
+        return mock_feature_class
+
     def setUp(self):
         super(CRUDTestCase, self).setUp()
         self.user = testdata.user()
+        self.mock_feature_class = self.setup_mock_feature_enabled()
 
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommend_success(self, mock_load_recommendations):
         self.client.force_authenticate(user=self.user)
+        self.setup_mock_feature_enabled()
         mock_load_recommendations.return_value = self.recommendations_list
 
-        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+        response = self.client.post(reverse("recommendations"), data=self.topics,
                                     format="json")
 
         self.assertEqual(response.status_code, 200, response.content)
@@ -68,30 +84,33 @@ def test_recommend_success(self, mock_load_recommendations):
 
     def test_recommend_invalid_data_empty_data(self):
         self.client.force_authenticate(user=self.user)
+        self.setup_mock_feature_enabled()
 
         invalid_data = {}
-        response = self.client.post(reverse("recommendations-list"), data=invalid_data,
+        response = self.client.post(reverse("recommendations"), data=invalid_data,
                                     format="json")
         self.assertEqual(response.status_code, 400)
-        self.assertIn("topics", response.json())
+        self.assertIn("topics", response.json()['error'])
 
     def test_recommend_invalid_data_wrong_topic_data(self):
         self.client.force_authenticate(user=self.user)
+        self.setup_mock_feature_enabled()
 
         invalid_data = {'topics': [{'ramdon_field': "random_value"}]}
-        response = self.client.post(reverse("recommendations-list"), data=invalid_data,
+        response = self.client.post(reverse("recommendations"), data=invalid_data,
                                     format="json")
         self.assertEqual(response.status_code, 400)
-        self.assertIn("non_field_errors", response.json())
+        self.assertIn("ramdon_field", response.json()['error'])
 
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommendation_invalid_data_formats(self, mock_load_recommendations):
         self.client.force_authenticate(user=self.user)
+        self.setup_mock_feature_enabled()
 
         error_message = "Invalid topic format"
         mock_load_recommendations.side_effect = ValueError(error_message)
 
-        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+        response = self.client.post(reverse("recommendations"), data=self.topics,
                                     format="json")
 
         self.assertEqual(response.status_code, 400)
@@ -101,11 +120,12 @@ def test_recommendation_invalid_data_formats(self, mock_load_recommendations):
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommendation_service_unavailable(self, mock_load_recommendations):
         self.client.force_authenticate(user=self.user)
+        self.setup_mock_feature_enabled()
 
         error_message = "Connection error"
         mock_load_recommendations.side_effect = ConnectionError(error_message)
 
-        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+        response = self.client.post(reverse("recommendations"), data=self.topics,
                                     format="json")
 
         self.assertEqual(response.status_code, 503)
@@ -116,10 +136,11 @@ def test_recommendation_service_unavailable(self, mock_load_recommendations):
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommendation_generic_error(self, mock_load_recommendations):
         self.client.force_authenticate(user=self.user)
+        self.setup_mock_feature_enabled()
 
         error_message = "Unexpected internal error"
         mock_load_recommendations.side_effect = RuntimeError(error_message)
-        response = self.client.post(reverse("recommendations-list"), data=self.topics,
+        response = self.client.post(reverse("recommendations"), data=self.topics,
                                     format="json")
 
         self.assertEqual(response.status_code, 500)
diff --git a/contentcuration/contentcuration/urls.py b/contentcuration/contentcuration/urls.py
index d6813a1227..b4764e23ed 100644
--- a/contentcuration/contentcuration/urls.py
+++ b/contentcuration/contentcuration/urls.py
@@ -42,7 +42,7 @@
 from contentcuration.viewsets.feedback import FlagFeedbackEventViewSet
 from contentcuration.viewsets.file import FileViewSet
 from contentcuration.viewsets.invitation import InvitationViewSet
-from contentcuration.viewsets.recommendation import RecommendationViewSet
+from contentcuration.viewsets.recommendation import RecommendationView
 from contentcuration.viewsets.sync.endpoint import SyncView
 from contentcuration.viewsets.user import AdminUserViewSet
 from contentcuration.viewsets.user import ChannelUserViewSet
@@ -70,7 +70,6 @@ def get_redirect_url(self, *args, **kwargs):
 router.register(r'admin-users', AdminUserViewSet, basename='admin-users')
 router.register(r'clipboard', ClipboardViewSet, basename='clipboard')
 router.register(r'flagged', FlagFeedbackEventViewSet, basename='flagged')
-router.register(r'recommendations', RecommendationViewSet, basename='recommendations')
 
 urlpatterns = [
     re_path(r'^api/', include(router.urls)),
@@ -84,6 +83,7 @@ def get_redirect_url(self, *args, **kwargs):
     re_path(r'^api/probers/task_queue_status', views.task_queue_status, name='task_queue_status'),
     re_path(r'^api/probers/unapplied_changes_status', views.unapplied_changes_status, name='unapplied_changes_status'),
     re_path(r'^api/sync/$', SyncView.as_view(), name="sync"),
+    re_path(r'^api/recommendations/$', RecommendationView.as_view(), name="recommendations"),
 ]
 
 # if activated, turn on django prometheus urls
diff --git a/contentcuration/contentcuration/utils/recommendations.py b/contentcuration/contentcuration/utils/recommendations.py
index be0a12e2ec..ed70b7b98c 100644
--- a/contentcuration/contentcuration/utils/recommendations.py
+++ b/contentcuration/contentcuration/utils/recommendations.py
@@ -96,6 +96,9 @@ def generate_embeddings(self, request: EmbeddingsRequest) -> EmbeddingsResponse:
             response = self.backend.make_request(request)
         except Exception as e:
             logging.exception(e)
+            if isinstance(e, errors.ConnectionError):
+                # Force connect check in next generate embeddings call
+                self.backend._connected = False
             response = EmbeddingsResponse(error=e)
 
         return response
@@ -428,6 +431,9 @@ def embed_content(self, channel_id: str,
                 self.backend.make_request(request)
             except Exception as e:
                 logging.exception(e)
+                if isinstance(e, errors.ConnectionError):
+                    # Force connect check in next embed content call
+                    self.backend._connected = False
 
         return True
 
@@ -515,9 +521,14 @@ def _format_file_data(self, file) -> Dict[str, Any]:
 
 
 class Recommendations(Backend):
+    def __init__(self):
+        super().__init__()
+        self._connected = False
 
     def connect(self) -> bool:
-        return super().connect()
+        if not self._connected:
+            self._connected = super().connect()
+        return self._connected
 
     def make_request(self, request) -> Union[EmbeddingsResponse, RecommendationsResponse]:
         return super().make_request(request)
diff --git a/contentcuration/contentcuration/viewsets/recommendation.py b/contentcuration/contentcuration/viewsets/recommendation.py
index f3a1b95155..eb2fef8a35 100644
--- a/contentcuration/contentcuration/viewsets/recommendation.py
+++ b/contentcuration/contentcuration/viewsets/recommendation.py
@@ -4,50 +4,33 @@
 from django.http import HttpResponseServerError
 from django.http import JsonResponse
 from le_utils.validators import embed_topics_request
-from rest_framework import serializers
-from rest_framework import viewsets
 from rest_framework.permissions import IsAuthenticated
+from rest_framework.views import APIView
 
 from contentcuration.utils.automation_manager import AutomationManager
+from contentcuration.viewsets.user import IsAIFeatureEnabledForUser
 
 
-class RecommendationSerializer(serializers.Serializer):
-    topics = serializers.ListField(required=True)
-    metadata = serializers.JSONField(required=False)
-    override_threshold = serializers.BooleanField(default=False)
+class RecommendationView(APIView):
 
-    def validate(self, data):
+    permission_classes = [
+        IsAuthenticated,
+        IsAIFeatureEnabledForUser,
+    ]
+    manager = AutomationManager()
+
+    def post(self, request):
         try:
-            validation_data = {'topics': data['topics']}
-            if 'metadata' in data:
-                validation_data['metadata'] = data['metadata']
+            request_data = request.data
+            # Remove and store override_threshold as it isn't defined in the schema
+            override_threshold = request_data.pop('override_threshold', False)
 
-            embed_topics_request.validate(validation_data)
-            return data
+            embed_topics_request.validate(request_data)
         except jsonschema.ValidationError as e:
-            raise serializers.ValidationError(str(e))
-
-
-class RecommendationViewSet(viewsets.ModelViewSet):
-    serializer_class = RecommendationSerializer
-    permission_classes = [IsAuthenticated]
-
-    def create(self, request, *args, **kwargs):
-        serializer = self.get_serializer(data=request.data)
-        serializer.is_valid(raise_exception=True)
-
-        topics = serializer.validated_data['topics']
-        metadata = serializer.validated_data.get('metadata', None)
-        override_threshold = serializer.validated_data['override_threshold']
+            return JsonResponse({"error": f"Required fields missing: {str(e)}"}, status=HTTPStatus.BAD_REQUEST)
 
         try:
-            manager = AutomationManager()
-
-            request_data = {'topics': topics}
-            if metadata is not None:
-                request_data['metadata'] = metadata
-
-            recommendations = manager.load_recommendations(request_data, override_threshold)
+            recommendations = self.manager.load_recommendations(request_data, override_threshold)
             return JsonResponse(data=recommendations, safe=False)
         except (ValueError, TypeError) as e:
             return JsonResponse({"error": str(e)}, status=HTTPStatus.BAD_REQUEST)
diff --git a/contentcuration/contentcuration/viewsets/user.py b/contentcuration/contentcuration/viewsets/user.py
index 766e3097a0..b0e27a7048 100644
--- a/contentcuration/contentcuration/viewsets/user.py
+++ b/contentcuration/contentcuration/viewsets/user.py
@@ -52,6 +52,27 @@ def has_permission(self, request, view):
             return False
 
 
+class IsAIFeatureEnabledForUser(BasePermission):
+    """
+    Permission to check if the AI feature is enabled for a user.
+    """
+
+    def _can_user_access_feature(self, request):
+        try:
+            if request.user.is_admin:
+                return True
+            else:
+                return request.user.check_feature_flag('ai_feature')
+        except AttributeError:
+            return False
+
+    def has_permission(self, request, view):
+        return self._can_user_access_feature(request)
+
+    def has_object_permission(self, request, view, obj):
+        return self._can_user_access_feature(request)
+
+
 class UserListPagination(ValuesViewsetPageNumberPagination):
     page_size = None
     page_size_query_param = "page_size"

From 8a16b555a7ce6b2472a4c789ade4c15651425b3e Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Tue, 8 Apr 2025 15:31:06 +0300
Subject: [PATCH 40/41] Fixes failing tests

---
 contentcuration/contentcuration/tests/base.py |  3 ++
 .../tests/viewsets/test_recommendations.py    | 35 ++++---------------
 2 files changed, 9 insertions(+), 29 deletions(-)

diff --git a/contentcuration/contentcuration/tests/base.py b/contentcuration/contentcuration/tests/base.py
index 3820d308e7..c9ccdecded 100644
--- a/contentcuration/contentcuration/tests/base.py
+++ b/contentcuration/contentcuration/tests/base.py
@@ -120,6 +120,9 @@ class StudioAPITestCase(APITestCase, BucketTestMixin):
     def setUpClass(cls):
         super(StudioAPITestCase, cls).setUpClass()
         call_command("loadconstants")
+        cls.admin_user = User.objects.create_superuser(
+            "big_shot", "bigshot@reallybigcompany.com", "password"
+        )
 
     def setUp(self):
         if not self.persist_bucket:
diff --git a/contentcuration/contentcuration/tests/viewsets/test_recommendations.py b/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
index ebefdd308a..e23b4ad17a 100644
--- a/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
+++ b/contentcuration/contentcuration/tests/viewsets/test_recommendations.py
@@ -1,8 +1,6 @@
 from django.urls import reverse
 from mock import patch
-from mock.mock import MagicMock
 
-from contentcuration.tests import testdata
 from contentcuration.tests.base import StudioAPITestCase
 
 
@@ -52,28 +50,12 @@ def recommendations_list(self):
             }
         ]
 
-    def setup_mock_feature_enabled(self, patch_target='contentcuration.viewsets.user.IsAIFeatureEnabledForUser'):
-        feature_patcher = patch(patch_target)
-        mock_feature_class = feature_patcher.start()
-
-        mock_instance = MagicMock()
-        mock_instance.has_permission.return_value = True
-        mock_instance.has_object_permission.return_value = True
-        mock_feature_class.return_value = mock_instance
-
-        self.addCleanup(feature_patcher.stop)
-
-        return mock_feature_class
-
     def setUp(self):
         super(CRUDTestCase, self).setUp()
-        self.user = testdata.user()
-        self.mock_feature_class = self.setup_mock_feature_enabled()
 
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommend_success(self, mock_load_recommendations):
-        self.client.force_authenticate(user=self.user)
-        self.setup_mock_feature_enabled()
+        self.client.force_authenticate(user=self.admin_user)
         mock_load_recommendations.return_value = self.recommendations_list
 
         response = self.client.post(reverse("recommendations"), data=self.topics,
@@ -83,8 +65,7 @@ def test_recommend_success(self, mock_load_recommendations):
         self.assertEqual(response.json(), self.recommendations_list)
 
     def test_recommend_invalid_data_empty_data(self):
-        self.client.force_authenticate(user=self.user)
-        self.setup_mock_feature_enabled()
+        self.client.force_authenticate(user=self.admin_user)
 
         invalid_data = {}
         response = self.client.post(reverse("recommendations"), data=invalid_data,
@@ -93,8 +74,7 @@ def test_recommend_invalid_data_empty_data(self):
         self.assertIn("topics", response.json()['error'])
 
     def test_recommend_invalid_data_wrong_topic_data(self):
-        self.client.force_authenticate(user=self.user)
-        self.setup_mock_feature_enabled()
+        self.client.force_authenticate(user=self.admin_user)
 
         invalid_data = {'topics': [{'ramdon_field': "random_value"}]}
         response = self.client.post(reverse("recommendations"), data=invalid_data,
@@ -104,8 +84,7 @@ def test_recommend_invalid_data_wrong_topic_data(self):
 
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommendation_invalid_data_formats(self, mock_load_recommendations):
-        self.client.force_authenticate(user=self.user)
-        self.setup_mock_feature_enabled()
+        self.client.force_authenticate(user=self.admin_user)
 
         error_message = "Invalid topic format"
         mock_load_recommendations.side_effect = ValueError(error_message)
@@ -119,8 +98,7 @@ def test_recommendation_invalid_data_formats(self, mock_load_recommendations):
 
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommendation_service_unavailable(self, mock_load_recommendations):
-        self.client.force_authenticate(user=self.user)
-        self.setup_mock_feature_enabled()
+        self.client.force_authenticate(user=self.admin_user)
 
         error_message = "Connection error"
         mock_load_recommendations.side_effect = ConnectionError(error_message)
@@ -135,8 +113,7 @@ def test_recommendation_service_unavailable(self, mock_load_recommendations):
 
     @patch("contentcuration.utils.automation_manager.AutomationManager.load_recommendations")
     def test_recommendation_generic_error(self, mock_load_recommendations):
-        self.client.force_authenticate(user=self.user)
-        self.setup_mock_feature_enabled()
+        self.client.force_authenticate(user=self.admin_user)
 
         error_message = "Unexpected internal error"
         mock_load_recommendations.side_effect = RuntimeError(error_message)

From 43482a61e5728418d0e1130e3b8cbe40d4e356aa Mon Sep 17 00:00:00 2001
From: Samson Akol <akolson2010@gmail.com>
Date: Wed, 9 Apr 2025 16:06:43 +0300
Subject: [PATCH 41/41] Remove redundant loadChannel from node

---
 .../components/RecommendedResourceCard.vue               | 2 +-
 .../views/ImportFromChannels/SearchOrBrowseWindow.vue    | 9 +--------
 2 files changed, 2 insertions(+), 9 deletions(-)

diff --git a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
index ed6e7337d6..719b0e9bed 100644
--- a/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
+++ b/contentcuration/contentcuration/frontend/RecommendedResourceCard/components/RecommendedResourceCard.vue
@@ -71,7 +71,7 @@
     computed: {
       ...mapState('importFromChannels', ['selected']),
       channelName() {
-        return this.node.channel.name;
+        return this.node.title;
       },
       learningActivities() {
         if (this.node.learning_activities && Object.keys(this.node.learning_activities).length) {
diff --git a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
index 96f931f549..2c7ba983e3 100644
--- a/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
+++ b/contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue
@@ -395,7 +395,6 @@
       });
     },
     methods: {
-      ...mapActions('channel', ['loadChannel']),
       ...mapActions('clipboard', ['copy']),
       ...mapActions('contentNode', ['loadAncestors', 'loadPublicContentNode']),
       ...mapActions('importFromChannels', ['fetchRecommendations']),
@@ -533,18 +532,12 @@
         return await Promise.all(
           recommendations.map(async recommendation => {
             // loadPublicContentNode is cached, so multiple calls shouldn't be an issue.
-            const node = await this.loadPublicContentNode({
+            return await this.loadPublicContentNode({
               id: recommendation.id,
               nodeId: recommendation.node_id,
               rootId: recommendation.main_tree_id,
               parent: recommendation.parent_id,
             });
-            const channel = await this.loadChannel(node.channel_id);
-
-            return {
-              ...node,
-              channel,
-            };
           })
         );
       },