Make Notes Search Natural Language Date Aware

- Pass Scheduled, Closed Dates of Entries to Include in Embeddings

- The (new?) model seems to understand dates. So can give more
  relevant entries if date in natural language mentioned in query
- E.g "Went Surfing with Friends" vs "Went Surfing with Friends in 1984"
  will give different results, with the second prioritizing entries
  mentioning any entries with closed, scheduled dates from 1984

src/processor/org_mode/org_to_jsonl.py

@@ -115,6 +115,16 @@ def convert_org_entries_to_jsonl(entries, verbose=0):
             if verbose > 2:
                 print(f"Tags: {tags_str}")
 
+        if entry.Closed():
+            entry_dict["Closed"] = entry.Closed().strftime("%Y-%m-%d")
+            if verbose > 2:
+                print(f'Closed: {entry.Closed().strftime("%Y-%m-%d")}')
+
+        if entry.Scheduled():
+            entry_dict["Scheduled"] = entry.Scheduled().strftime("%Y-%m-%d")
+            if verbose > 2:
+                print(f'Scheduled: {entry.Scheduled().strftime("%Y-%m-%d")}')
+
         if entry.Body():
             entry_dict["Body"] = entry.Body()
             if verbose > 2:

src/search_type/asymmetric.py

@@ -60,9 +60,12 @@ def extract_entries(notesfile, verbose=0):
         if not "Body" in note or note["Body"].strip(empty_escape_sequences) == "":
             continue
 
-        note_string = f'{note["Title"]}' \
-                      f'\t{note["Tags"] if "Tags" in note else ""}' \
-                      f'\n{note["Body"] if "Body" in note else ""}'
+        scheduled_str = f'\t Scheduled for {note["Scheduled"]}' if "Scheduled" in note else ""
+        closed_str = f'\t Closed on {note["Closed"]}' if "Closed" in note else ""
+        tags_str = f'\t {note["Tags"]}' if "Tags" in note else ""
+        body_str = f'\n {note["Body"]}' if "Body" in note else ""
+
+        note_string = f'{note["Title"]}{tags_str}{closed_str}{scheduled_str}{body_str}'
         entries.append({'compiled': note_string, 'raw': note["Raw"]})
 
     # Close File