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opt
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cloudlinux
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venv
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lib
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python3.11
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ssa
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db.py
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#!/opt/cloudlinux/venv/bin/python3 -sbb # coding=utf-8 # # Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2020 All Rights Reserved # # Licensed under CLOUD LINUX LICENSE AGREEMENT # http://cloudlinux.com/docs/LICENCE.TXT # import os import contextlib import sqlite3 from datetime import datetime, timedelta from sqlalchemy import ( Column, Boolean, DateTime, Integer, String, create_engine, event, func, text ) from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.engine.reflection import Inspector from sqlalchemy.orm import Session from sqlalchemy.orm.session import close_all_sessions from sqlalchemy.exc import DatabaseError SSA_DB = '/var/lve/ssa.db' OLD_SSA_DB = SSA_DB + '.old' RETENTION_TIME_DAYS = 1 Base = declarative_base() class RequestResult(Base): """ Describes processed request stored in database file. E.g. { "timestamp": "1650008727", "url": "http://mydomain.com/index.php", "duration": 162077, "hitting_limits": false, "throttled_time": 0, "io_throttled_time": 0, "wordpress": true } Note: created_at, updated_at is saved in local TZ format """ __tablename__ = 'scrape_result' id = Column(Integer, primary_key=True) domain = Column(String, index=True, nullable=False) path = Column(String, index=True, nullable=False) timestamp = Column(Integer, nullable=False) duration = Column(Integer, nullable=False) is_slow_request = Column(Boolean, nullable=False) hitting_limits = Column(Boolean, nullable=False) throttled_time = Column(Integer, nullable=False) io_throttled_time = Column(Integer, nullable=False) wordpress = Column(Boolean, nullable=False) created_at = Column(DateTime(timezone=True), server_default=func.now()) updated_at = Column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now()) def cleanup_old_data(engine): """ Removes outdated records from database, saving disk space. """ n_days_ago = datetime.today() - timedelta(days=RETENTION_TIME_DAYS) with session_scope(engine) as session: session.query(RequestResult)\ .filter(RequestResult.created_at < n_days_ago)\ .delete() def create_db_if_not_exist(engine): if not is_db_present(engine): Base.metadata.create_all(engine) def is_db_present(engine): if not os.path.isfile(SSA_DB): return False database_inspection = Inspector.from_engine(engine) tables = [table for table in database_inspection.get_table_names()] return len(tables) > 0 def setup_wal_mode(dbapi_con, con_record): dbapi_con.execute('PRAGMA journal_mode = WAL') def _setup_database(readonly): connection_string = f'file:{SSA_DB}' if readonly: connection_string = f'{connection_string}?mode=ro' creator = lambda: sqlite3.connect(connection_string, uri=True) engine = create_engine( 'sqlite:////', creator=creator, echo=False, ) event.listen(engine, 'connect', setup_wal_mode) create_db_if_not_exist(engine) return engine def setup_database(readonly=False): return _setup_database(readonly) def restore_database(engine): """ Restore database by establish connections to old and new databases, merge data to new one if possible and delete old one. """ if os.path.exists(SSA_DB): # Closing all sessions to ensure that no sessions is using database during replacing close_all_sessions() os.replace(SSA_DB, OLD_SSA_DB) new_engine = setup_database() # Dispose of the existing engine to close and refresh all connections, ensuring it connects to the new database engine.dispose() old_engine = create_engine(f'sqlite:////{OLD_SSA_DB}') try: with session_scope(old_engine) as session_old, session_scope(new_engine) as session_new: # Check if old database is able to read and it make sense to try save unharmed data session_old.query(RequestResult).first() merge_unharmed_data_from_database(session_old, session_new) except DatabaseError: pass for path in (OLD_SSA_DB, SSA_DB + "-wal", SSA_DB + "-shm"): if os.path.exists(path): os.remove(path) def merge_unharmed_data_from_database(session_old, session_new): """ Scrape all unharmed records from malformed database and merge them into new database. """ offset = 0 batch_size = 10 while True: query = session_old.query(RequestResult).offset(offset).limit(batch_size) try: records_to_save = query.all() if not records_to_save: break for record in records_to_save: session_new.merge(record) except DatabaseError: for pos_in_batch in range(batch_size): try: record_to_save = query.offset(offset + pos_in_batch).first() if not record_to_save: break session_new.merge(record_to_save) except DatabaseError: pass session_new.commit() offset += batch_size def is_malformed_database(engine): """ Try integrity check of database file to see if it is malformed. If database unable to execute it, will also count as malformed. """ if os.path.exists(OLD_SSA_DB) and os.path.exists(SSA_DB): os.remove(OLD_SSA_DB) try: with session_scope(engine) as db: result = db.execute(text("PRAGMA integrity_check")) errors = result.fetchall() return errors[0][0] != 'ok' except DatabaseError: return True @contextlib.contextmanager def session_scope(engine) -> Session: """ Provide a transactional scope around a series of operations. """ session = Session(bind=engine) try: yield session session.commit() except: session.rollback() raise finally: session.close()