"""Background replication worker.""" from __future__ import annotations import logging import threading from concurrent.futures import ThreadPoolExecutor from dataclasses import dataclass from pathlib import Path from typing import Dict, Optional import boto3 from botocore.exceptions import ClientError from .connections import ConnectionStore, RemoteConnection from .storage import ObjectStorage logger = logging.getLogger(__name__) @dataclass class ReplicationRule: bucket_name: str target_connection_id: str target_bucket: str enabled: bool = True class ReplicationManager: def __init__(self, storage: ObjectStorage, connections: ConnectionStore, rules_path: Path) -> None: self.storage = storage self.connections = connections self.rules_path = rules_path self._rules: Dict[str, ReplicationRule] = {} self._executor = ThreadPoolExecutor(max_workers=4, thread_name_prefix="ReplicationWorker") self.reload_rules() def reload_rules(self) -> None: if not self.rules_path.exists(): self._rules = {} return try: import json with open(self.rules_path, "r") as f: data = json.load(f) for bucket, rule_data in data.items(): self._rules[bucket] = ReplicationRule(**rule_data) except (OSError, ValueError) as e: logger.error(f"Failed to load replication rules: {e}") def save_rules(self) -> None: import json data = {b: rule.__dict__ for b, rule in self._rules.items()} self.rules_path.parent.mkdir(parents=True, exist_ok=True) with open(self.rules_path, "w") as f: json.dump(data, f, indent=2) def get_rule(self, bucket_name: str) -> Optional[ReplicationRule]: return self._rules.get(bucket_name) def set_rule(self, rule: ReplicationRule) -> None: self._rules[rule.bucket_name] = rule self.save_rules() def delete_rule(self, bucket_name: str) -> None: if bucket_name in self._rules: del self._rules[bucket_name] self.save_rules() def trigger_replication(self, bucket_name: str, object_key: str) -> None: rule = self.get_rule(bucket_name) if not rule or not rule.enabled: return connection = self.connections.get(rule.target_connection_id) if not connection: logger.warning(f"Replication skipped for {bucket_name}/{object_key}: Connection {rule.target_connection_id} not found") return self._executor.submit(self._replicate_task, bucket_name, object_key, rule, connection) def _replicate_task(self, bucket_name: str, object_key: str, rule: ReplicationRule, conn: RemoteConnection) -> None: try: # 1. Get local file path # Note: We are accessing internal storage structure here. # Ideally storage.py should expose a 'get_file_path' or we read the stream. # For efficiency, we'll try to read the file directly if we can, or use storage.get_object # Using boto3 to upload s3 = boto3.client( "s3", endpoint_url=conn.endpoint_url, aws_access_key_id=conn.access_key, aws_secret_access_key=conn.secret_key, region_name=conn.region, ) # We need the file content. # Since ObjectStorage is filesystem based, let's get the stream. # We need to be careful about closing it. meta = self.storage.get_object_meta(bucket_name, object_key) if not meta: return with self.storage.open_object(bucket_name, object_key) as f: extra_args = {} if meta.metadata: extra_args["Metadata"] = meta.metadata s3.upload_fileobj( f, rule.target_bucket, object_key, ExtraArgs=extra_args ) logger.info(f"Replicated {bucket_name}/{object_key} to {conn.name} ({rule.target_bucket})") except (ClientError, OSError, ValueError) as e: logger.error(f"Replication failed for {bucket_name}/{object_key}: {e}") except Exception: logger.exception(f"Unexpected error during replication for {bucket_name}/{object_key}")