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import gradio as gr
import json
import re
import sqlite3
import logging
from collections import defaultdict
from util import process_json_files
from gematria import calculate_gematria
from deep_translator import GoogleTranslator, exceptions
from urllib.parse import quote_plus
# Set up logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
# Global variables for database connection and translator
conn = None
translator = None
book_names = {} # Dictionary to store book names
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():
"""Initializes the SQLite database."""
global conn
conn = sqlite3.connect('gematria.db')
c = conn.cursor()
c.execute('''
CREATE TABLE IF NOT EXISTS results (
gematria_sum INTEGER,
words TEXT UNIQUE,
translation TEXT,
book INTEGER,
chapter INTEGER,
verse INTEGER,
PRIMARY KEY (words, book, chapter, verse)
)
''')
c.execute('''
CREATE TABLE IF NOT EXISTS processed_books (
book INTEGER PRIMARY KEY,
max_phrase_length INTEGER
)
''')
conn.commit()
logging.info("Database initialized.")
def initialize_translator():
"""Initializes the Google Translator."""
global translator
translator = GoogleTranslator(source='iw', target='en')
logging.info("Translator initialized.")
def insert_phrase_to_db(gematria_sum, phrase_candidate, book, chapter, verse):
"""Inserts a phrase and its Gematria value into the database."""
global conn
c = conn.cursor()
try:
c.execute('''
INSERT INTO results (gematria_sum, words, book, chapter, verse)
VALUES (?, ?, ?, ?, ?)
''', (gematria_sum, phrase_candidate, book, chapter, verse))
conn.commit()
logging.debug(f"Inserted phrase: {phrase_candidate} (Gematria: {gematria_sum}) at {book}:{chapter}:{verse}")
except sqlite3.IntegrityError:
logging.debug(f"Phrase already exists: {phrase_candidate} (Gematria: {gematria_sum}) at {book}:{chapter}:{verse}")
def populate_database(tanach_texts, max_phrase_length=3):
"""Populates the database with phrases from the Tanach and their Gematria values."""
global conn, book_names
logging.info("Populating database...")
c = conn.cursor()
for book_id, text in tanach_texts: # Unpack the tuple (book_id, text)
c.execute('''SELECT max_phrase_length FROM processed_books WHERE book = ?''', (book_id,))
result = c.fetchone()
if result and result[0] >= max_phrase_length:
logging.info(f"Skipping book {book_id}: Already processed with max_phrase_length {result[0]}")
continue
logging.info(f"Processing book {book_id} with max_phrase_length {max_phrase_length}")
if 'text' not in text or not isinstance(text['text'], list):
logging.warning(f"Skipping book {book_id} due to missing or invalid 'text' field.")
continue
title = text.get('title', 'Unknown')
book_names[book_id] = title # Store book name
chapters = text['text']
for chapter_id, chapter in enumerate(chapters):
if not isinstance(chapter, list):
logging.warning(f"Skipping chapter {chapter_id} in book {title} due to invalid format.")
continue
for verse_id, verse in enumerate(chapter):
verse_text = flatten_text(verse)
verse_text = re.sub(r"[^\u05D0-\u05EA ]+", "", verse_text)
verse_text = re.sub(r" +", " ", verse_text)
words = verse_text.split()
for length in range(1, max_phrase_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(gematria_sum, phrase_candidate, book_id, chapter_id + 1, verse_id + 1)
try:
c.execute('''INSERT INTO processed_books (book, max_phrase_length) VALUES (?, ?)''', (book_id, max_phrase_length))
except sqlite3.IntegrityError:
c.execute('''UPDATE processed_books SET max_phrase_length = ? WHERE book = ?''', (max_phrase_length, book_id))
conn.commit()
logging.info("Database population complete.")
def get_translation(phrase):
"""Retrieves or generates the English translation of a Hebrew phrase."""
global translator, conn
c = conn.cursor()
c.execute('''
SELECT translation FROM results
WHERE words = ?
''', (phrase,))
result = c.fetchone()
if result and result[0]:
return result[0]
else:
translation = translate_and_store(phrase)
c.execute('''
UPDATE results
SET translation = ?
WHERE words = ?
''', (translation, phrase))
conn.commit()
return translation
def translate_and_store(phrase):
"""Translates a phrase using Google Translate."""
global translator
try:
translation = translator.translate(phrase)
logging.debug(f"Translated phrase: {translation}")
return translation
except (exceptions.TranslationNotFound, exceptions.NotValidPayload,
exceptions.ServerException, exceptions.RequestError) as e:
logging.error(f"Error translating phrase '{phrase}': {e}")
return "[Translation Error]"
def search_gematria_in_db(gematria_sum):
"""Searches the database for phrases with a given Gematria value."""
global conn
c = conn.cursor()
c.execute('''
SELECT words, book, chapter, verse FROM results WHERE gematria_sum = ?
''', (gematria_sum,))
results = c.fetchall()
logging.debug(f"Found {len(results)} matching phrases for Gematria: {gematria_sum}")
return results
def gematria_search_interface(phrase):
"""The main function for the Gradio interface."""
if not phrase.strip():
return "Please enter a phrase."
# Create database connection inside the function
global conn, book_names
conn = sqlite3.connect('gematria.db')
c = conn.cursor()
phrase_gematria = calculate_gematria(phrase.replace(" ", ""))
logging.info(f"Searching for phrases with Gematria: {phrase_gematria}")
matching_phrases = search_gematria_in_db(phrase_gematria)
if not matching_phrases:
return "No matching phrases found."
# Format results for display
results = []
for words, book, chapter, verse in matching_phrases:
translation = get_translation(words)
book_name_english = book_names.get(book, 'Unknown') # Get book name
link = f"https://www.biblegateway.com/passage/?search={quote_plus(book_name_english)}+{chapter}%3A{verse}"
results.append(
f"Book: {book_name_english}\nChapter: {chapter}, Verse: {verse}\nPhrase: {words}\nTranslation: {translation}\n<a href='{link}' target='_blank'>[See on Bible Gateway]</a>\n\n")
conn.close()
return "\n".join(results)
def run_app():
"""Initializes and launches the Gradio app."""
initialize_database()
initialize_translator()
# Pre-populate the database
tanach_texts = process_json_files(1, 1) # Process all books
populate_database(tanach_texts, max_phrase_length=4)
tanach_texts = process_json_files(27, 27) # Process all books
populate_database(tanach_texts, max_phrase_length=4)
iface = gr.Interface(
fn=gematria_search_interface,
inputs=gr.Textbox(label="Enter phrase"),
outputs=gr.HTML(label="Results"),
title="Gematria Search in Tanach",
description="Search for phrases in the Tanach that have the same Gematria value.",
live=False,
allow_flagging="never"
)
iface.launch()
if __name__ == "__main__":
run_app()