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import gradio as gr | |
import json | |
import re | |
import sqlite3 | |
import logging | |
from util import process_json_files | |
from gematria import calculate_gematria | |
from deep_translator import GoogleTranslator | |
logging.basicConfig(level=logging.INFO, format='%(message)s') | |
def flatten_text(text): | |
"""Helper function to flatten nested lists into a single list.""" | |
if isinstance(text, list): | |
return " ".join(flatten_text(item) if isinstance(item, list) else item for item in text) | |
return text | |
def initialize_database(): | |
conn = sqlite3.connect('gematria.db') | |
c = conn.cursor() | |
c.execute(''' | |
CREATE TABLE IF NOT EXISTS results ( | |
gematria_sum INTEGER, | |
words TEXT, | |
book INTEGER, | |
title TEXT, | |
chapter INTEGER, | |
verse INTEGER | |
) | |
''') | |
conn.commit() | |
conn.close() | |
def insert_phrase_to_db(c, gematria_sum, phrase_candidate, book_id, title, chapter_id, verse_id): | |
logging.info(f"Inserting: {gematria_sum}, {phrase_candidate}, {book_id}, {title}, {chapter_id + 1}, {verse_id + 1}") | |
c.execute(''' | |
INSERT INTO results (gematria_sum, words, book, title, chapter, verse) | |
VALUES (?, ?, ?, ?, ?, ?) | |
''', (gematria_sum, phrase_candidate, book_id, title, chapter_id + 1, verse_id + 1)) | |
def populate_database(tanach_texts, max_phrase_length=1): | |
conn = sqlite3.connect('gematria.db') | |
c = conn.cursor() | |
for book_id, text in enumerate(tanach_texts): | |
if not isinstance(text.get('text'), list): | |
continue | |
title = text.get('title', 'Unknown') | |
chapters = text['text'] | |
for chapter_id, chapter in enumerate(chapters): | |
if not isinstance(chapter, list): | |
continue | |
chapter_text = ' '.join([flatten_text(verse) for verse in chapter]) | |
chapter_text = re.sub(r"[^\u05D0-\u05EA ]+", "", chapter_text) | |
chapter_text = re.sub(r" +", " ", chapter_text) | |
words = chapter_text.split() | |
max_length = min(max_phrase_length, len(words)) | |
for length in range(1, max_length + 1): | |
for start in range(len(words) - length + 1): | |
phrase_candidate = " ".join(words[start:start + length]) | |
gematria_sum = calculate_gematria(phrase_candidate.replace(" ", "")) | |
insert_phrase_to_db(c, gematria_sum, phrase_candidate, book_id, title, chapter_id, start + 1) | |
conn.commit() | |
conn.close() | |
def search_gematria_in_db(gematria_sum): | |
conn = sqlite3.connect('gematria.db') | |
c = conn.cursor() | |
c.execute(''' | |
SELECT words, book, title, chapter, verse FROM results WHERE gematria_sum = ? | |
''', (gematria_sum,)) | |
results = c.fetchall() | |
conn.close() | |
return results | |
def translate_phrases(phrases): | |
translator = GoogleTranslator(source='auto', target='en') | |
translated_phrases = [] | |
for phrase in phrases: | |
translated_phrases.append(translator.translate(phrase)) | |
return translated_phrases | |
def db(tanach_texts, max_phrase_length=1): | |
initialize_database() | |
populate_database(tanach_texts, max_phrase_length) | |
logging.info("Database successfully created and populated.") | |
def gematria_search_interface(phrase): | |
debug_output = [] | |
def debug_callback(message): | |
debug_output.append(message) | |
logging.info(message) | |
if not phrase.strip(): | |
return "Please enter a phrase.", "\n".join(debug_output) | |
phrase_gematria = calculate_gematria(phrase.replace(" ", "")) | |
debug_callback(f"Debug: Gematria of the search phrase '{phrase}' is {phrase_gematria}") | |
matching_phrases = search_gematria_in_db(phrase_gematria) | |
if not matching_phrases: | |
return "No matching phrases found.", "\n".join(debug_output) | |
phrases = [match[0] for match in matching_phrases] | |
translations = translate_phrases(phrases) | |
result = "Matching phrases:\n" | |
for match, translation in zip(matching_phrases, translations): | |
result += f"Book: {match[2]} ({match[3]})\nChapter: {match[4]}, Verse: {match[5]}\nPhrase: {match[0]}\nTranslation: {translation}\n\n" | |
return result, "\n".join(debug_callback) | |
def run_test(): | |
debug_output = [] | |
test_phrase = "ืืืืืืืืืืืืืื ืกืขืคืฆืงืจืฉืช" | |
expected_gematria = 1495 | |
def debug_callback(message): | |
debug_output.append(message) | |
logging.info(message) | |
# Load the test JSON contents for 00.json | |
test_texts_00 = process_json_files(0, 0) | |
db(test_texts_00, max_phrase_length=22) # Populate the database with 1-word phrases | |
matching_phrases_00 = search_gematria_in_db(expected_gematria) | |
assert matching_phrases_00, "No matching phrases found in 00.json." | |
assert matching_phrases_00[0][0].replace(" ", "") == test_phrase, f"Found phrase does not match: {matching_phrases_00[0][0]}" | |
print("Test successful: The phrase was correctly found and the gematria matches in 00.json.") | |
# Load the test JSON contents for 01.json | |
test_texts_01 = process_json_files(1, 1) | |
db(test_texts_01, max_phrase_length=2) # Populate the database with 1-word phrases | |
search_phrase_01 = "ืืชืงืื ืฉืืขืชื" | |
expected_gematria_01 = calculate_gematria(search_phrase_01.replace(" ", "")) | |
matching_phrases_01 = search_gematria_in_db(expected_gematria_01) | |
assert matching_phrases_01, "No matching phrases found in 01.json." | |
assert matching_phrases_01[0][0].replace(" ", "") == search_phrase_01.replace(" ", ""), f"Found phrase does not match: {matching_phrases_01[0][0]}" | |
print("Test successful: The phrase was correctly found and the gematria matches in 01.json.") | |
print("\n".join(debug_output)) | |
iface = gr.Interface( | |
fn=gematria_search_interface, | |
inputs=gr.inputs.Textbox(label="Enter phrase"), | |
outputs=[gr.outputs.Textbox(label="Results"), gr.outputs.Textbox(label="Debug Output")], | |
title="Gematria Search in Tanach", | |
description="Search for phrases in Tanach that have the same gematria value as the entered phrase.", | |
live=False, # Disable live update | |
allow_flagging=False, # Disable flagging for simplicity | |
) | |
if __name__ == "__main__": | |
run_test() # Run tests | |
iface.launch() | |