app.py

import logging
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)

import gradio as gr
import torah
import bible
import quran
from utils import number_to_ordinal_word, custom_normalize, date_to_words, translate_date_to_words
from gematria import calculate_gematria, strip_diacritics

import pandas as pd
from deep_translator import GoogleTranslator
from gradio_calendar import Calendar
from datetime import datetime
import math
import json
import re
import sqlite3
from collections import defaultdict

# --- Constants ---
DATABASE_FILE = 'gematria.db'
MAX_PHRASE_LENGTH_LIMIT = 20

# --- Database Initialization ---
def initialize_database():
    global conn
    conn = sqlite3.connect(DATABASE_FILE)
    cursor = conn.cursor()
    cursor.execute('''
    CREATE TABLE IF NOT EXISTS results (
        gematria_sum INTEGER,
        words TEXT,
        translation TEXT,
        book TEXT,
        chapter INTEGER,
        verse INTEGER,
        phrase_length INTEGER,
        word_position TEXT, 
        PRIMARY KEY (gematria_sum, words, book, chapter, verse, word_position)
    )
    ''')
    cursor.execute('''
    CREATE INDEX IF NOT EXISTS idx_results_gematria
    ON results (gematria_sum)
    ''')
    cursor.execute('''
    CREATE TABLE IF NOT EXISTS processed_books (
        book TEXT PRIMARY KEY,
        max_phrase_length INTEGER
    )
    ''')
    conn.commit()

# --- Initialize Database ---
initialize_database()

# --- Helper Functions (from Network app.py) ---
def flatten_text(text: List) -> str:
    if isinstance(text, list):
        return " ".join(flatten_text(item) if isinstance(item, list) else item for item in text)
    return text

def search_gematria_in_db(gematria_sum: int, max_words: int) -> List[Tuple[str, str, int, int, int, str]]:
    global conn
    with sqlite3.connect(DATABASE_FILE) as conn:
        cursor = conn.cursor()
        cursor.execute('''
        SELECT words, book, chapter, verse, phrase_length, word_position 
        FROM results 
        WHERE gematria_sum = ? AND phrase_length <= ?
        ''', (gematria_sum, max_words))
        results = cursor.fetchall()
    return results

def get_most_frequent_phrase(results):
    phrase_counts = defaultdict(int)
    for words, book, chapter, verse, phrase_length, word_position in results:
        phrase_counts[words] += 1
    most_frequent_phrase = max(phrase_counts, key=phrase_counts.get) if phrase_counts else None  # Handle empty results
    return most_frequent_phrase

# --- Functions from BOS app.py ---
def create_language_dropdown(label, default_value='en', show_label=True):
    languages = GoogleTranslator(source='en', target='en').get_supported_languages(as_dict=True)
    return gr.Dropdown(
      choices=list(languages.keys()),
      label=label,
      value=default_value,
      show_label=show_label
    )

def calculate_gematria_sum(text, date_words):
    if text or date_words:
        combined_input = f"{text} {date_words}"
        numbers = re.findall(r'\d+', combined_input)
        text_without_numbers = re.sub(r'\d+', '', combined_input)
        number_sum = sum(int(number) for number in numbers)
        text_gematria = calculate_gematria(strip_diacritics(text_without_numbers))
        total_sum = text_gematria + number_sum
        return total_sum
    else:
        return None

def perform_els_search(step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results, include_torah, include_bible, include_quran):
    if step == 0 or rounds_combination == "0,0":
        return None
    
    torah_results = []
    bible_results = []
    quran_results = []
    
    if include_torah:
        torah_results.extend(torah.process_json_files(1, 39, step, rounds_combination, 0, tlang, strip_spaces, strip_in_braces, strip_diacritics))
    
    if include_bible:
        bible_results.extend(bible.process_json_files(40, 66, step, rounds_combination, 0, tlang, strip_spaces, strip_in_braces, strip_diacritics))
    
    if include_quran:
        quran_results.extend(quran.process_json_files(1, 114, step, rounds_combination, 0, tlang, strip_spaces, strip_in_braces, strip_diacritics))

    if merge_results:
        results = []
        max_length = max(len(torah_results), len(bible_results), len(quran_results))
        for i in range(max_length):
            if i < len(torah_results):
                results.append(torah_results[i])
            if i < len(bible_results):
                results.append(bible_results[i])
            if i < len(quran_results):
                results.append(quran_results[i])
    else:
        results = torah_results + bible_results + quran_results

    return results

# --- Main Gradio App ---
with gr.Blocks() as app:
    with gr.Row():
        tlang = create_language_dropdown("Target Language for Translation", default_value='english')
        selected_date = Calendar(type="datetime", label="Date to investigate (optional)", info="Pick a date from the calendar")
        date_language_input = create_language_dropdown("Language of the person/topic (optional) (Date Word Language)", default_value='english')
        date_words_output = gr.Textbox(label="Date in Words Translated (optional)")

    with gr.Row():
        gematria_text = gr.Textbox(label="Name and/or Topic (required)", value="Hans Albert Einstein")
        gematria_result = gr.Number(label="Journal Sum")

    with gr.Row():
        step = gr.Number(label="Jump Width (Steps) for ELS")
        float_step = gr.Number(visible=False, value=1) 
        half_step_btn = gr.Button("Steps / 2")
        double_step_btn = gr.Button("Steps * 2")
        
        with gr.Column():
            round_x = gr.Number(label="Round (1)", value=1)
            round_y = gr.Number(label="Round (2)", value=-1)
            
        rounds_combination = gr.Textbox(label="Combined Rounds", value="1,-1")

    with gr.Row():
        include_torah_chk = gr.Checkbox(label="Include Torah", value=True)
        include_bible_chk = gr.Checkbox(label="Include Bible", value=True)
        include_quran_chk = gr.Checkbox(label="Include Quran", value=True)
        merge_results_chk = gr.Checkbox(label="Merge Results (Torah-Bible-Quran)", value=True)
        
        strip_spaces = gr.Checkbox(label="Strip Spaces from Books", value=True)
        strip_in_braces = gr.Checkbox(label="Strip Text in Braces from Books", value=True)
        strip_diacritics_chk = gr.Checkbox(label="Strip Diacritics from Books", value=True)

    translate_btn = gr.Button("Search with ELS")

    # --- Output Components ---
    markdown_output = gr.Dataframe(label="ELS Results")
    most_frequent_phrase_output = gr.Textbox(label="Most Frequent Phrase in Network Search")

    # --- Event Handlers ---
    def update_date_words(selected_date, date_language_input):
        return translate_date_to_words(selected_date, date_language_input)

    def update_journal_sum(gematria_text, date_words_output):
        sum_value = calculate_gematria_sum(gematria_text, date_words_output)
        return sum_value, sum_value, sum_value

    def update_rounds_combination(round_x, round_y):
        return f"{int(round_x)},{int(round_y)}"

    def update_step_half(float_step):
        new_step = math.ceil(float_step / 2)
        return new_step, float_step / 2

    def update_step_double(float_step):
        new_step = math.ceil(float_step * 2)
        return new_step, float_step * 2

    def perform_search(step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results, include_torah, include_bible, include_quran, gematria_text, date_words_output):
        els_results = perform_els_search(step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results, include_torah, include_bible, include_quran)

        # --- Network Search Integration ---
        df_data = []
        for result in els_results:
            gematria_sum = calculate_gematria(result['match'])
            max_words = len(result['match'].split())
            matching_phrases = search_gematria_in_db(gematria_sum, max_words)
            most_frequent_phrase = get_most_frequent_phrase(matching_phrases)

            # Add data to the list for DataFrame creation
            df_data.append({
                'book': result['book'],
                'chapter': result['chapter'],
                'verse': result['verse'],
                'match': result['match'],
                'Most Frequent Phrase': most_frequent_phrase
            })

        # Create DataFrame
        df = pd.DataFrame(df_data)
        df.index = range(1, len(df) + 1)
        df.reset_index(inplace=True)
        df.rename(columns={'index': 'Result Number'}, inplace=True)

        return df, df['Most Frequent Phrase'].iloc[0] if not df.empty else None

    # --- Event Triggers ---
    round_x.change(update_rounds_combination, inputs=[round_x, round_y], outputs=rounds_combination)
    round_y.change(update_rounds_combination, inputs=[round_x, round_y], outputs=rounds_combination)

    selected_date.change(update_date_words, inputs=[selected_date, date_language_input], outputs=[date_words_output])
    date_language_input.change(update_date_words, inputs=[selected_date, date_language_input], outputs=[date_words_output])

    gematria_text.change(update_journal_sum, inputs=[gematria_text, date_words_output], outputs=[gematria_result, step, float_step])
    date_words_output.change(update_journal_sum, inputs=[gematria_text, date_words_output], outputs=[gematria_result, step, float_step])

    half_step_btn.click(update_step_half, inputs=[float_step], outputs=[step, float_step])
    double_step_btn.click(update_step_double, inputs=[float_step], outputs=[step, float_step])

    translate_btn.click(
        perform_search,
        inputs=[step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results_chk, include_torah_chk, include_bible_chk, include_quran_chk, gematria_text, date_words_output],
        outputs=[markdown_output, most_frequent_phrase_output]
    )

    app.load(
        update_date_words, 
        inputs=[selected_date, date_language_input], 
        outputs=[date_words_output]
    )
    app.load(
        update_journal_sum, 
        inputs=[gematria_text, date_words_output], 
        outputs=[gematria_result, step, float_step]
    )

if __name__ == "__main__":
    app.launch(share=False)