Update to jaclang v 0.8.4

Author: Thamirawaran

littleX_BE/littleX.impl.jac

@@ -54,7 +54,7 @@ impl Tweet.remove_like {
 impl Tweet.comment {
         current_profile = [root-->(`?Profile)];
         comment_node = current_profile[0] +>:Post():+> Comment(content=visitor.content);
-        _.perm_grant(comment_node[0], level="CONNECT");
+        grant(comment_node[0], level=ConnectPerm);
         self ++> comment_node[0];
         report comment_node[0];
     }
@@ -89,18 +89,18 @@ impl Comment.delete {
 impl visit_profile.visit_profile {
         visit [-->(`?Profile)] else {
             new_profile = here ++> Profile();
-            _.perm_grant(new_profile[0], level="CONNECT");
+            grant(new_profile[0], level=ConnectPerm);
             visit new_profile;
         }
     }
 
 impl load_user_profiles.load_profiles {
         self.profiles: list = [];
 
-        for user in NodeAnchor.Collection.find({"name": "Profile"}) {
-            user_node = user.archetype;
+        for each_root in allroots() {
+            profile = [each_root --> (`?Profile)][0];
             self.profiles.append(
-                {"name": user_node.username, "id": jid(user_node)}
+                {"name": profile.username, "id": jid(profile)}
             );
         }
     }
@@ -112,13 +112,12 @@ impl load_user_profiles.report_profiles {
 impl create_tweet.tweet {
         embedding = vectorizer.fit_transform([self.content]).toarray().tolist();
         tweet_node = here +>:Post():+> Tweet(content=self.content, embedding=embedding);
-        _.perm_grant(tweet_node[0], level="CONNECT");
+        grant(tweet_node[0], level=ConnectPerm);
         report tweet_node;
     }
 
 impl load_feed.load {
-        visit [->:Post:->];
-        ignore [--> (`?Comment)];
+        visit [-->(`?Tweet)];
         for user_node in [->:Follow:->(`?Profile)] {
             visit [user_node-->(`?Tweet)];
         }

littleX_BE/littleX.jac

@@ -1,5 +1,4 @@
 import datetime;
-import from jac_cloud.core.archetype { NodeAnchor }
 import numpy;
 import from sklearn.feature_extraction.text { TfidfVectorizer }
 import from sklearn.metrics.pairwise { cosine_similarity }

littleX_BE/littleX.test.jac

@@ -97,4 +97,9 @@ test load_feed {
     check all(
         [ (feeds.results[i]['similarity'][0] >= feeds.results[i + 1]['similarity'][0]) for i in range(len(feeds.results) - 1) ]
     );
+}
+
+test test_load_user_profiles {
+    load_user_walker = root spawn load_user_profiles();
+    check load_user_walker.profiles;
 }