fix: filter_by => belongs_to_id:123 (#19)

* fix: filter_by => belongs_to_id:123

* style: 💄 clean code

lib/save_it/bot.ex

@@ -114,7 +114,7 @@ defmodule SaveIt.Bot do
   end
 
   def handle({:command, :search, %{chat: chat, photo: nil, text: q}}, _context) do
-    photos = TypesensePhoto.search_photos!(q: q)
+    photos = TypesensePhoto.search_photos!(q: q, belongs_to_id: chat.id)
 
     answer_photos(chat.id, photos)
   end
@@ -266,7 +266,8 @@ defmodule SaveIt.Bot do
     if typesense_photo != nil do
       TypesensePhoto.search_photos!(
         typesense_photo["id"],
-        distance_threshold: distance_threshold
+        distance_threshold: distance_threshold,
+        belongs_to_id: chat_id
       )
     end
   end

lib/save_it/typesense_photo.ex

@@ -25,7 +25,7 @@ defmodule SaveIt.TypesensePhoto do
     Typesense.get_document("photos", photo_id)
   end
 
-  def search_photos!(q: q) do
+  def search_photos!(q: q, belongs_to_id: belongs_to_id) do
     req_body = %{
       "searches" => [
         %{
@@ -34,6 +34,7 @@ defmodule SaveIt.TypesensePhoto do
           "collection" => "photos",
           "prefix" => false,
           "vector_query" => "image_embedding:([], k: 5, distance_threshold: 0.75)",
+          "filter_by" => "belongs_to_id:#{belongs_to_id}",
           "exclude_fields" => "image_embedding"
         }
       ]
@@ -46,12 +47,17 @@ defmodule SaveIt.TypesensePhoto do
   end
 
   def search_photos!(id, opts \\ []) do
+    belongs_to_id = Keyword.get(opts, :belongs_to_id)
     distance_threshold = Keyword.get(opts, :distance_threshold, 0.4)
 
-    search_similar_photos!(id, distance_threshold: distance_threshold)
+    search_similar_photos!(id,
+      distance_threshold: distance_threshold,
+      belongs_to_id: belongs_to_id
+    )
   end
 
   def search_similar_photos!(photo_id, opts \\ []) when is_binary(photo_id) do
+    belongs_to_id = Keyword.get(opts, :belongs_to_id)
     distance_threshold = Keyword.get(opts, :distance_threshold, 0.4)
 
     req_body = %{
@@ -61,6 +67,7 @@ defmodule SaveIt.TypesensePhoto do
           "q" => "*",
           "vector_query" =>
             "image_embedding:([], id:#{photo_id}, distance_threshold: #{distance_threshold}, k: 4)",
+          "filter_by" => "belongs_to_id:#{belongs_to_id}",
           "exclude_fields" => "image_embedding"
         }
       ]