populate db

app.py

@@ -187,7 +187,7 @@ def search_gematria_in_db(gematria_sum, max_words):
     for words, book, chapter, verse in results:
         # Filter by word count (including phrases with fewer words)
         word_count = words.count(' ') + 1  # Count spaces to get word count
-        if word_count == word_count:  # Include phrases with word count <= max_words
+        if word_count <= word_count:  # Include phrases with word count <= max_words
             filtered_results.append((words, book, chapter, verse))
     logging.debug(f"Found {len(filtered_results)} matching phrases for Gematria: {gematria_sum} after filtering.")
     return filtered_results
@@ -298,7 +298,7 @@ def run_app():
     # Pre-populate the database
     logging.info("Starting database population...")
     phrases_to_insert = []  # Collect phrases before inserting in bulk
-    for max_phrase_length in range(1, 5):  # Populate for phrases up to 5 words
+    for max_phrase_length in range(1, 6):  # Populate for phrases up to 5 words
         for gematria_sum, phrase, book, chapter, verse in tqdm(populate_database(1, 39, max_phrase_length=max_phrase_length), desc=f"Populating Database (Max Length: {max_phrase_length})"):  # Books 1 to 39
             phrases_to_insert.append((gematria_sum, phrase, book, chapter, verse))
             if len(phrases_to_insert) >= 1000:  # Insert in batches of 1000 for efficiency

gematria.db

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:119142f15d8437060680fd578af07edccb25b1255fa74711044b344f1f9620fc
-size 105299968
+oid sha256:03a40767c98e5f667d5a4650979a34a51862be5244c23bf8d852d1ac4347c3ed
+size 118484992