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sientia-dataops-laborious_t…/laborious/activities/opc.py
vitor-aignosi 98ea2a7f75 SIENTIAPDE-1110
Update dependencies and enhance logging in activities; bump version in requirements and values.yaml
2025-06-27 09:17:24 -03:00

158 lines
6.1 KiB
Python

from temporalio import activity, workflow
with workflow.unsafe.imports_passed_through():
from sientia_do.notifications.handlers import NotificationHandler
from sientia_do.notifications.models import NotificationLevel
from sientia_do.temporal.activities.base import BaseActivity
from sientia_do.temporal.utils.logger import Logger
from laborious.utils.repository.opc_repository import OpcRepository
from typing import Any
import traceback
from pandas import DataFrame
OPC_WRITTING_ERROR_CONFIDENCE = 12
class OPC(BaseActivity):
def __init__(self, opc_servers: dict[str, dict[str, Any]],
logger: Logger, notification_handler: NotificationHandler):
self.logger = logger
self.notification_handler = notification_handler
self.opc_servers = opc_servers
self.opc_repository = {}
for name, server in opc_servers.items():
self.opc_repository[name] = OpcRepository(
name=name,
url=server['url'],
logger=self.logger,
server_uri=server['server_uri'],
cert_path=server['cert_path'],
private_key_path=server['private_key_path'],
server_cert_path=server['server_cert_path'],
notification_handler=self.notification_handler,
reconnection_interval=server['reconnection_interval'],
)
self.opc_repository[name].connect()
BaseActivity.__init__(self, logger, notification_handler)
def write_data(self, server: str, tag: str, data: Any,
data_type: str, tag_type: str) -> bool:
"""
Write data to OPC server.
Args:
- server (str): The name of the OPC server.
- tag (str): The tag to write to.
- data (Any): The data to write.
- data_type (str): The data type.
- tag_type (str): The tag type.
Returns:
- bool: True if the data was written successfully, False otherwise.
"""
try:
return self.opc_repository[server].write_data(
tag, data, data_type)
self.logger.debug(f"Wrote {tag_type} to {tag}")
except Exception as e:
trace = traceback.format_exc()
self.notification_handler.build_and_send_notification(
notification_id=f"WRITE_OPC_{tag_type.upper()}_ERROR",
message=f"Error writing data to OPC server: {e}",
block="write_opc_data",
level=NotificationLevel.ERROR,
attachment_content=trace
)
raise e
@activity.defn(name='write_opc_data')
async def write_opc_data(self, input_data: dict[str, Any]) -> dict[Any, Any]:
"""
Write prediction and confidence data to OPC servers. The two writing
operations are optional and independent of each other.
Args:
- input_data(dict[str, Any]): The input data. Contains the following keys:
- data(dict[str, Any]): The dataframe that contains the data to write
to the OPC servers.
- opc_output_config(dict[str, Any]): The OPC writing configuration.
The keys are the OPC server names and the values contain:
- prediction_tags(dict[str, Any]): The tags to write to the OPC servers.
- confidence_tags(dict[str, Any]): The tags to write to the OPC servers.
Returns:
- dict[Any, Any]: The data that was written to the OPC servers.
"""
metadata = input_data['metadata']
self.debug("Writing data to OPC servers...", metadata)
data = DataFrame(input_data['data'])
opc_output_config = input_data['opc_output_config']
self.debug(data, metadata)
success = True
for server, config in opc_output_config.items():
if self.opc_repository.get(server) is None:
self.error(f"OPC server {server} not found", metadata)
continue
if 'prediction_tags' in config:
for tag, tag_config in config['prediction_tags'].items():
success = success and self.write_data(
server=server,
tag=tag,
data=data.head(1)['prediction'].values[0],
data_type=tag_config['data_type'],
tag_type='prediction'
)
if 'confidence_tags' in config:
for tag, tag_config in config['confidence_tags'].items():
self.write_data(
server=server,
tag=tag,
data=data.head(1)['prediction_confidence'].values[0],
data_type=tag_config['data_type'],
tag_type='confidence'
)
return self.process_confidence(data, success)
def process_confidence(self, data: DataFrame, success: bool) -> dict[Any, Any]:
"""
Processes the confidence of OPC server write operations and updates the DataFrame accordingly.
If the write operation was not successful, sets the 'prediction_confidence' column in the DataFrame
to a predefined error confidence value and logs a debug message. Otherwise, logs a success message.
Args:
data (DataFrame): The DataFrame containing the data to be processed.
success (bool): Indicates whether the data was successfully written to the OPC servers.
Returns:
dict[Any, Any]: The processed data as a dictionary.
"""
metadata = data['metadata']
if not success:
data['prediction_confidence'] = OPC_WRITTING_ERROR_CONFIDENCE
self.debug(
"Some data could not be written to OPC servers, setting confidence to "
f"{OPC_WRITTING_ERROR_CONFIDENCE}."
)
else:
self.debug("Data written to OPC servers successfully.", metadata)
return data.to_dict()
def shutdown(self):
for opc in self.opc_repository.values():
opc.disconnect()