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neuralworm
commited on
Commit
•
6c0aa26
1
Parent(s):
26e9493
populate db, db optimize
Browse files- app.py +185 -157
- gematria.db +2 -2
app.py
CHANGED
@@ -3,182 +3,210 @@ import json
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import re
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import sqlite3
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import logging
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from util import process_json_files
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from gematria import calculate_gematria
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from deep_translator import GoogleTranslator, exceptions
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logging
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def flatten_text(text):
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def initialize_database():
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c.execute('''
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conn.commit()
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conn.close()
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def
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try:
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c.execute('''
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INSERT INTO results (gematria_sum, words, translation, book, title, chapter, verse)
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VALUES (?, ?, ?, ?, ?, ?, ?)
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''', (gematria_sum, phrase_candidate, translation, book_id, title, chapter_id, verse_id))
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except sqlite3.IntegrityError:
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def populate_database(tanach_texts, max_phrase_length=1):
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conn = sqlite3.connect('gematria.db')
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c = conn.cursor()
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for book_id, text in enumerate(tanach_texts):
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if 'text' not in text or not isinstance(text['text'], list):
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logging.warning(f"Skipping book {book_id} due to missing or invalid 'text' field.")
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continue
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title = text.get('title', 'Unknown')
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chapters = text['text']
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for chapter_id, chapter in enumerate(chapters):
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if not isinstance(chapter, list):
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logging.warning(f"Skipping chapter {chapter_id} in book {title} due to invalid format.")
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continue
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for verse_id, verse in enumerate(chapter):
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verse_text = flatten_text(verse)
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verse_text = re.sub(r"[^\u05D0-\u05EA ]+", "", verse_text)
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verse_text = re.sub(r" +", " ", verse_text)
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words = verse_text.split()
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max_length = min(max_phrase_length, len(words))
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for length in range(1, max_length + 1):
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for start in range(len(words) - length + 1):
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phrase_candidate = " ".join(words[start:start + length])
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gematria_sum = calculate_gematria(phrase_candidate.replace(" ", ""))
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insert_phrase_to_db(c, gematria_sum, phrase_candidate, None, book_id + 1, title, chapter_id + 1, verse_id + 1) # No translation initially
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conn.commit()
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def
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c.execute('''
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def gematria_search_interface(phrase):
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c.execute('''
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SELECT words, book, title, chapter, verse, translation FROM results WHERE gematria_sum = ?
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''', (gematria_sum,))
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results = c.fetchall()
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logging.info(f"Search results: {results}")
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return results
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def run_test():
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debug_output = []
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#test_phrase = "אחר ואתבנימין ואני"
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#expected_gematria = 1495
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def debug_callback(message):
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debug_output.append(message)
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logging.info(message)
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# Load the test JSON contents for 01.json
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#test_texts_00 = process_json_files(0, 0)
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#test_texts_01 = process_json_files(1, 1)
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#populate_database(test_texts_00, max_phrase_length=22) # Populate the database from book 0 with phrases up to 22 words
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#populate_database(test_texts_01, max_phrase_length=3) # Populate the database from book 1 with phrases up to 3 words
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#conn = sqlite3.connect('gematria.db')
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#c = conn.cursor()
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#matching_phrases_01 = search_gematria_in_db(c, expected_gematria)
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#conn.close()
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#assert matching_phrases_01[0][0] == test_phrase, f"Found phrase does not match: {matching_phrases_01[0][0]}"
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#print("Test successful: The phrase was correctly found and the gematria matches in 01.json.")
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#print("\n".join(debug_output))
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test_texts = process_json_files(1, 39)
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populate_database(test_texts, max_phrase_length=1)
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#populate_database(test_texts, max_phrase_length=2)
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#populate_database(test_texts, max_phrase_length=3)
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iface = gr.Interface(
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fn=gematria_search_interface,
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inputs=gr.Textbox(label="Enter phrase"),
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outputs=
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title="Gematria Search in Tanach",
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description="Search for phrases in Tanach that have the same
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live=False,
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allow_flagging="never"
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)
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if __name__ == "__main__":
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run_test() # Run tests
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iface.launch()
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import re
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import sqlite3
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import logging
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from collections import defaultdict
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from util import process_json_files
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from gematria import calculate_gematria
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from deep_translator import GoogleTranslator, exceptions
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# Set up logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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# Global variables for database connection and translator
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conn = None
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translator = None
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def flatten_text(text):
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"""Helper function to flatten nested lists into a single list."""
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if isinstance(text, list):
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return " ".join(flatten_text(item) if isinstance(item, list) else item for item in text)
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return text
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def initialize_database():
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"""Initializes the SQLite database."""
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global conn
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conn = sqlite3.connect('gematria.db')
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c = conn.cursor()
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c.execute('''
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CREATE TABLE IF NOT EXISTS results (
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gematria_sum INTEGER,
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words TEXT UNIQUE,
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translation TEXT,
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occurrences TEXT,
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PRIMARY KEY (words)
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)
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''')
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c.execute('''
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CREATE TABLE IF NOT EXISTS processed_books (
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book INTEGER PRIMARY KEY,
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max_phrase_length INTEGER
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)
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''')
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conn.commit()
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logging.info("Database initialized.")
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def initialize_translator():
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"""Initializes the Google Translator."""
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global translator
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translator = GoogleTranslator(source='iw', target='en')
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logging.info("Translator initialized.")
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def insert_phrase_to_db(gematria_sum, phrase_candidate, translation, occurrence):
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"""Inserts a phrase and its Gematria value into the database."""
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global conn
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c = conn.cursor()
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try:
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c.execute('''
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INSERT INTO results (gematria_sum, words, translation, occurrences)
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VALUES (?, ?, ?, ?)
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''', (gematria_sum, phrase_candidate, translation, occurrence))
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conn.commit()
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logging.debug(f"Inserted phrase: {phrase_candidate} (Gematria: {gematria_sum})")
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except sqlite3.IntegrityError:
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logging.debug(f"Phrase already exists: {phrase_candidate} (Gematria: {gematria_sum})")
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c.execute('''
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SELECT occurrences FROM results WHERE words = ?
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''', (phrase_candidate,))
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existing_occurrences = c.fetchone()[0]
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updated_occurrences = existing_occurrences + ';' + occurrence
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c.execute('''
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UPDATE results
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SET occurrences = ?
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WHERE words = ?
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''', (updated_occurrences, phrase_candidate))
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conn.commit()
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def populate_database(tanach_texts, max_phrase_length=3):
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"""Populates the database with phrases from the Tanach and their Gematria values."""
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global conn
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logging.info("Populating database...")
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c = conn.cursor()
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for book_id, text in enumerate(tanach_texts):
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c.execute('''SELECT max_phrase_length FROM processed_books WHERE book = ?''', (book_id + 1,))
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result = c.fetchone()
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if result and result[0] >= max_phrase_length:
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logging.info(f"Skipping book {book_id+1}: Already processed with max_phrase_length {result[0]}")
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continue
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logging.info(f"Processing book {book_id+1} with max_phrase_length {max_phrase_length}")
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if 'text' not in text or not isinstance(text['text'], list):
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logging.warning(f"Skipping book {book_id} due to missing or invalid 'text' field.")
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continue
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title = text.get('title', 'Unknown')
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chapters = text['text']
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for chapter_id, chapter in enumerate(chapters):
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if not isinstance(chapter, list):
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logging.warning(f"Skipping chapter {chapter_id} in book {title} due to invalid format.")
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continue
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for verse_id, verse in enumerate(chapter):
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verse_text = flatten_text(verse)
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verse_text = re.sub(r"[^\u05D0-\u05EA ]+", "", verse_text)
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verse_text = re.sub(r" +", " ", verse_text)
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words = verse_text.split()
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for length in range(1, max_phrase_length + 1):
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for start in range(len(words) - length + 1):
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phrase_candidate = " ".join(words[start:start + length])
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gematria_sum = calculate_gematria(phrase_candidate.replace(" ", ""))
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occurrence = f"{book_id+1}:{title}:{chapter_id+1}:{verse_id+1}"
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insert_phrase_to_db(gematria_sum, phrase_candidate, None, occurrence) # No translation initially
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try:
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c.execute('''INSERT INTO processed_books (book, max_phrase_length) VALUES (?, ?)''', (book_id + 1, max_phrase_length))
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except sqlite3.IntegrityError:
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c.execute('''UPDATE processed_books SET max_phrase_length = ? WHERE book = ?''', (max_phrase_length, book_id + 1))
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conn.commit()
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logging.info("Database population complete.")
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def get_translation(phrase):
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"""Retrieves or generates the English translation of a Hebrew phrase."""
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global translator, conn
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c = conn.cursor()
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c.execute('''
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SELECT translation FROM results
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WHERE words = ?
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''', (phrase,))
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result = c.fetchone()
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if result and result[0]:
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return result[0]
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else:
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translation = translate_and_store(phrase)
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c.execute('''
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UPDATE results
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SET translation = ?
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WHERE words = ?
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''', (translation, phrase))
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conn.commit()
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return translation
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def translate_and_store(phrase):
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"""Translates a phrase using Google Translate."""
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global translator
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try:
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translation = translator.translate(phrase)
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logging.debug(f"Translated phrase: {translation}")
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return translation
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except (exceptions.TranslationNotFound, exceptions.NotValidPayload,
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exceptions.ServerException, exceptions.RequestError) as e:
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logging.error(f"Error translating phrase '{phrase}': {e}")
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return "[Translation Error]"
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def search_gematria_in_db(gematria_sum):
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"""Searches the database for phrases with a given Gematria value."""
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global conn
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c = conn.cursor()
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c.execute('''
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SELECT words, occurrences FROM results WHERE gematria_sum = ?
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''', (gematria_sum,))
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results = c.fetchall()
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logging.debug(f"Found {len(results)} matching phrases for Gematria: {gematria_sum}")
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return results
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def gematria_search_interface(phrase):
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"""The main function for the Gradio interface."""
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if not phrase.strip():
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return "Please enter a phrase."
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# Datenbankverbindung innerhalb der Funktion erstellen
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global conn
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conn = sqlite3.connect('gematria.db')
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c = conn.cursor()
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phrase_gematria = calculate_gematria(phrase.replace(" ", ""))
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logging.info(f"Searching for phrases with Gematria: {phrase_gematria}")
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matching_phrases = search_gematria_in_db(phrase_gematria)
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if not matching_phrases:
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return "No matching phrases found."
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# Format results for display
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results = []
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for words, occurrences in matching_phrases:
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translation = get_translation(words)
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for occurrence in occurrences.split(';'):
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book, title, chapter, verse = occurrence.split(':')
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results.append(f"Book: {title} ({book})\nChapter: {chapter}, Verse: {verse}\nPhrase: {words}\nTranslation: {translation}\n\n")
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conn.close()
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return "\n".join(results)
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def run_app():
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"""Initializes and launches the Gradio app."""
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initialize_database()
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initialize_translator()
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# Pre-populate the database
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tanach_texts = process_json_files(1, 39)
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populate_database(tanach_texts)
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iface = gr.Interface(
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fn=gematria_search_interface,
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inputs=gr.Textbox(label="Enter phrase"),
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outputs=gr.Textbox(label="Results"),
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title="Gematria Search in Tanach",
|
205 |
+
description="Search for phrases in the Tanach that have the same Gematria value.",
|
206 |
+
live=False,
|
207 |
+
allow_flagging="never"
|
208 |
+
)
|
209 |
+
iface.launch()
|
210 |
|
211 |
if __name__ == "__main__":
|
212 |
+
run_app()
|
|
|
|
gematria.db
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6fcf5c1564217654d09ee0f57dc0025114c5df51a352f829932e86a10570ce09
|
3 |
+
size 47960064
|