mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-06-22 21:28:16 +02:00
db05427d0e
changes. Support for separate workspaces Addition of workspace CLI support for test purposes
65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
"""
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Triples store base class
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"""
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from __future__ import annotations
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from argparse import ArgumentParser
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import logging
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from .. schema import Triples
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from .. base import FlowProcessor, ConsumerSpec
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from .. exceptions import TooManyRequests
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# Module logger
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logger = logging.getLogger(__name__)
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default_ident = "triples-write"
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class TriplesStoreService(FlowProcessor):
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"""
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Component for maintaining the triples store.
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This service acts as a processor in the flow that receives knowledge triples
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and writes them persistently into an overarching graph database or equivalent backend.
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"""
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def __init__(self, **params):
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id = params.get("id")
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super(TriplesStoreService, self).__init__(**params | { "id": id })
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self.register_specification(
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ConsumerSpec(
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name = "input",
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schema = Triples,
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handler = self.on_message
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)
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)
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async def on_message(self, msg, consumer, flow):
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try:
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request = msg.value()
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# Workspace is derived from the flow the message arrived on,
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# not from fields in the message payload. Topic routing is
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# the isolation boundary.
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await self.store_triples(flow.workspace, request)
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except TooManyRequests as e:
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raise e
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except Exception as e:
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logger.error(f"Exception in triples store service: {e}", exc_info=True)
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raise e
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@staticmethod
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def add_args(parser: ArgumentParser) -> None:
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FlowProcessor.add_args(parser)
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