Consistently use "entry", "score" in json response for all search types

- Had already made some progress on this earlier by updating the image
  search responses. But needed to update the text search responses to
  use lowercase entry and score

- Update khoj.el to consume the updated json response keys for text
  search

src/interface/emacs/khoj.el

@@ -55,7 +55,7 @@
    (format "* %s\n%s"
            query
            (mapcar
-            (lambda (args) (format "%s" (cdr (assoc 'Entry args))))
+            (lambda (args) (format "%s" (cdr (assoc 'entry args))))
             json-response))))
 
 (defun khoj--extract-entries-as-images (json-response query)
@@ -94,7 +94,7 @@
             query
             (mapcar
              (lambda (args)
-               (format "%s\n\n" (cdr (assoc 'Entry args))))
+               (format "%s\n\n" (cdr (assoc 'entry args))))
              json-response)))))
 
 (defun khoj--buffer-name-to-search-type (buffer-name)

src/main.py

@@ -145,7 +145,7 @@ def chat(q: str):
     if get_from_dict(metadata, "intent", "memory-type") == "notes":
         query = get_from_dict(metadata, "intent", "query")
         result_list = search(query, n=1, t=SearchType.Notes)
-        collated_result = "\n".join([item["Entry"] for item in result_list])
+        collated_result = "\n".join([item["entry"] for item in result_list])
         if verbose > 1:
             print(f'Semantically Similar Notes:\n{collated_result}')
         gpt_response = summarize(collated_result, summary_type="notes", user_query=q, api_key=processor_config.conversation.openai_api_key)

src/search_type/asymmetric.py

@@ -151,8 +151,8 @@ def render_results(hits, entries, count=5, display_biencoder_results=False):
 def collate_results(hits, entries, count=5):
     return [
         {
-            "Entry": entries[hit['corpus_id']]['raw'],
-            "Score": f"{hit['cross-score']:.3f}"
+            "entry": entries[hit['corpus_id']]['raw'],
+            "score": f"{hit['cross-score']:.3f}"
         }
         for hit
         in hits[0:count]]

src/search_type/symmetric_ledger.py

@@ -115,8 +115,8 @@ def render_results(hits, entries, count=5, display_biencoder_results=False):
 def collate_results(hits, entries, count=5):
     return [
         {
-            "Entry": entries[hit['corpus_id']]['raw'],
-            "Score": f"{hit['cross-score']:.3f}"
+            "entry": entries[hit['corpus_id']]['raw'],
+            "score": f"{hit['cross-score']:.3f}"
         }
         for hit
         in hits[0:count]]