app.py

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.INFO, 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,
    translation TEXT,
    book INTEGER,
    chapter INTEGER,
    verse INTEGER,
    PRIMARY KEY (gematria_sum, 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=1):
  """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):
  global translator
  max_retries = 3  # You can adjust the number of retries
  retries = 0

  while retries < max_retries:
    try:
      translation = translator.translate(phrase)
      logging.debug(f"Translated phrase: {translation}")
      return translation
    except (exceptions.TranslationNotFound, exceptions.NotValidPayload,
        exceptions.ServerException, exceptions.RequestError, requests.exceptions.ConnectionError) as e:  # Add ConnectionError
      retries += 1
      logging.warning(f"Error translating phrase '{phrase}': {e}. Retrying... ({retries}/{max_retries})")

  logging.error(f"Failed to translate phrase '{phrase}' after {max_retries} retries.")
  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."

  # Sort results by book, chapter, and verse
  sorted_phrases = sorted(matching_phrases, key=lambda x: (x[1], x[2], x[3])) 

  # Group results by book
  results_by_book = defaultdict(list)
  for words, book, chapter, verse in sorted_phrases:
    results_by_book[book].append((words, chapter, verse))

  # Format results for display with enhanced structure
  results = []
  results.append("<div class='results-container'>")
  for book, phrases in results_by_book.items():
    results.append(f"<h4>Book: {book_names.get(book, 'Unknown')}</h4>")
    for words, chapter, verse in phrases:
      translation = get_translation(words)
      book_name_english = book_names.get(book, 'Unknown')
      link = f"https://www.biblegateway.com/passage/?search={quote_plus(book_name_english)}+{chapter}%3A{verse}"

      results.append(f"""
      <div class='result-item'>
        <p>Chapter: {chapter}, Verse: {verse}</p>
        <p class='hebrew-phrase'>Hebrew Phrase: {words}</p>
        <p>Translation: {translation}</p>
        <a href='{link}' target='_blank' class='bible-link'>[See on Bible Gateway]</a>
      </div>
      """)
  results.append("</div>") # Close results-container div

  conn.close()

  # Add CSS styling
  style = """
  <style>
    .results-container {
      display: grid;
      grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); 
      gap: 20px;
    }

    .result-item {
      border: 1px solid #ccc;
      padding: 15px;
      border-radius: 5px;
      box-shadow: 2px 2px 5px rgba(0, 0, 0, 0.1);
    }

    .hebrew-phrase {
      font-family: 'SBL Hebrew', 'Ezra SIL', serif; 
      direction: rtl; 
    }

    .bible-link {
      display: block;
      margin-top: 10px;
      color: #007bff; 
      text-decoration: none;
    }
  </style>
  """

  return style + "\n".join(results) # Concatenate style and results

def run_app():
  """Initializes and launches the Gradio app."""
  initialize_database()
  initialize_translator()

  # Pre-populate the database

  tanach_texts = process_json_files(27, 27) # Process all books
  populate_database(tanach_texts, max_phrase_length=12)
  tanach_texts = process_json_files(1, 39) # Process all books
  populate_database(tanach_texts, max_phrase_length=1)
  #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()