Fix of induced bag for search

src/views.py

@@ -132,7 +132,7 @@ def word_details_api(request, slug: str):
         if matched_recs:
             recordings.extend(matched_recs)
     print("here we go")
-    if paradigm is not None:
+    if paradigm is not None: 
         FST_DIR = settings.BASE_DIR / "res" / "fst"
         paradigm_manager = ParadigmManager(
             layout_directory=settings.LAYOUTS_DIR,
@@ -154,6 +154,7 @@ def word_details_api(request, slug: str):
         }
     }
 
+
     return Response(content)
 
 
@@ -193,6 +194,7 @@ def search_api(request):
     :param request:
     :return:
     """
+
 
     query_string = request.GET.get("name")
     rw_index = request.GET.get("rw_index")
@@ -231,14 +233,18 @@ def search_api(request):
         context["verbose_messages"] = json.dumps(
             search_run.verbose_messages, indent=2, ensure_ascii=False
         )
-    context["search_results"] = recordings(context["search_results"], request)
-
+    start = time.time()
+    context["search_results"] = recordings(
+        context["search_results"], request
+    )
+    end = time.time()
+    print(end-start)
     for result in context["search_results"]:
+
         result["wordform_text"] = wordform_orth_text(result["wordform_text"])
         result["lemma_wordform"]["wordform_text"] = wordform_orth_text(
             result["lemma_wordform"]["text"]
         )
-        end = time.time()
         if "inflectional_category" in result["lemma_wordform"]:
             result["lemma_wordform"][
                 "inflectional_category_relabelled"
@@ -252,6 +258,7 @@ def search_api(request):
     return Response(context)
 
 
+
 def make_wordnet_format(wn_class):
     """
     Accepts: wn_class of format (n) bear 1
@@ -301,7 +308,6 @@ def wordnet_api(request, classification):
 
     return Response(context)
 
-
 def recordings(results, request):
     query_terms = []
     for result in results:
@@ -316,33 +322,22 @@ def recordings(results, request):
     for search_terms in divide_chunks(query_terms, 30):
         for source in speech_db_eq:
             temp.append(None)
-    query_terms = [
-        query_terms[0],
-        query_terms[1],
-        query_terms[2],
-        query_terms[3],
-        query_terms[4],
-    ]
     index = 0
+    size_query = len(query_terms)
+    terms = []
+    for index in range(min(size_query, 5)):
+        terms.append(query_terms[index])
+    query_terms = terms
     for search_terms in divide_chunks(query_terms, 30):
         for source in speech_db_eq:
             url = f"https://speech-db.altlab.app/{source}/api/bulk_search"
-            x = threading.Thread(
-                target=get_recordings_from_url,
-                args=(
-                    search_terms,
-                    url,
-                    temp,
-                    index,
-                ),
-            )
+            x = threading.Thread(target=get_recordings_from_url, args=(search_terms, url, temp, index,))
             threads.append(x)
             x.start()
             index += 1
-    print("here we go")
     for i in range(len(threads)):
         threads[i].join()
-    print(temp)
+
     for item in temp:
         if item is not None:
             matched_recordings.update(item)
@@ -355,7 +350,6 @@ def recordings(results, request):
             result["recording"] = ""
     return results
 
-
 def relabelInflectionalCategory(ic):
     with open(Path(settings.RESOURCES_DIR / "altlabel.tsv")) as f:
         labels = Relabelling.from_tsv(f)