import sqlite3 import zlib import os OLD_DB = 'posts.db' NEW_DB = 'posts_uncompressed.db' def decompress_text(blob_data): if not blob_data: return None if isinstance(blob_data, str): return blob_data try: return zlib.decompress(blob_data).decode('utf-8') except zlib.error: return blob_data.decode('utf-8', errors='replace') def restore_database(): if not os.path.exists(OLD_DB): print(f"База данных {OLD_DB} не найдена.") return if os.path.exists(NEW_DB): os.remove(NEW_DB) conn_old = sqlite3.connect(OLD_DB) conn_old.row_factory = sqlite3.Row cursor_old = conn_old.cursor() conn_new = sqlite3.connect(NEW_DB) cursor_new = conn_new.cursor() cursor_new.execute(''' CREATE TABLE IF NOT EXISTS posts ( id TEXT PRIMARY KEY, channel_id TEXT, html TEXT, text TEXT, views_count INTEGER, reactions_count INTEGER, created_at TEXT, image_url TEXT, content_type TEXT, forward_from_chat_name TEXT, forward_from_chat_link TEXT, forward_from_icon_url TEXT, er REAL, err REAL, reactions TEXT, id_full TEXT, comments_count INTEGER, link TEXT, views_total INTEGER, views_1h INTEGER, views_24h INTEGER, channel_name TEXT, channel_image_url TEXT, attaches TEXT, elements TEXT ) ''') cursor_new.execute(''' CREATE TABLE IF NOT EXISTS scraped_channels ( channel_id TEXT PRIMARY KEY, target_count INTEGER, fetched_count INTEGER, total_available INTEGER, is_completed INTEGER ) ''') print("Чтение сжатых данных...") cursor_old.execute("SELECT * FROM posts") rows = cursor_old.fetchall() if not rows: print("Таблица posts пуста.") else: print(f"Найдено {len(rows)} постов. Начинаю распаковку...") columns = rows[0].keys() placeholders = ",".join(["?"] * len(columns)) fields_to_decompress = {'html', 'text', 'reactions', 'attaches', 'elements'} new_records = [] for row in rows: new_row = [] for col in columns: if col in fields_to_decompress: new_row.append(decompress_text(row[col])) else: new_row.append(row[col]) new_records.append(tuple(new_row)) cursor_new.executemany(f"INSERT INTO posts VALUES ({placeholders})", new_records) cursor_old.execute("SELECT * FROM scraped_channels") channels = cursor_old.fetchall() if channels: ch_columns = len(channels[0].keys()) ch_placeholders = ",".join(["?"] * ch_columns) ch_records = [tuple(row) for row in channels] cursor_new.executemany(f"INSERT INTO scraped_channels VALUES ({ch_placeholders})", ch_records) conn_new.commit() conn_old.close() conn_new.close() old_size = os.path.getsize(OLD_DB) / (1024 * 1024) new_size = os.path.getsize(NEW_DB) / (1024 * 1024) print("\nБаза данных успешно распакована.") print(f"Размер сжатой БД ({OLD_DB}): {old_size:.2f} MB") print(f"Размер распакованной БД ({NEW_DB}): {new_size:.2f} MB") if __name__ == '__main__': restore_database()