988ee65fbf
Implement initial structure for data ingestion with Kafka and OPC UA integration - Added DataManager for Kafka message handling - Introduced IngestorManager to manage data ingestion processes - Created OpcManager for OPC UA client interactions - Developed ResourceManager for Redis-based resource management - Established testing framework with unit tests for DataManager and OpcManager - Configured project settings for Python testing with pytest
37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
from logging import Logger
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from typing import Dict, List
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from ingestor.managers.data_manager import DataManager
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from ingestor.managers.opc_manager import OpcManager
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from ingestor.managers.resource_manager import ResourceManager
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class IngestorManager():
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def __init__(self,
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kafka_servers: str, redis_host: str, redis_port: int,
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lease_ttl: int, heartbeat_ttl: int, poll_interval: int,
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logger: Logger):
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self.data_manager = DataManager(kafka_servers, logger)
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self.opc_managers = []
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self.resource_manager = ResourceManager(
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redis_host, redis_port, lease_ttl, heartbeat_ttl, logger
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)
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def init_ingestor(self):
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pass
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def declare_active(self):
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pass
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def get_active_ingestors(self):
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pass
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def get_slot_leases(self, max_slots: int = 1) -> List[Dict]:
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pass
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def drop_slot_leases(self, ids: List[str]) -> None:
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pass
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def subscribe_to_tags(self, tags: List[Dict]) -> None:
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pass
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