mirror of
https://github.com/trustgraph-ai/trustgraph.git
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f7026efeda
With many workspaces and flows, the prometheus metrics expand greatly. Many significant metrics (e.g. latency) make more sense measured globally. This change introduces a consolidation. Histograms (request_latency, text_completion_duration, chunk_size, etc.) are now global with only processor-level labels, eliminating per-workspace time series multiplication. Counters and enums retain workspace and flow labels for per-workspace debugging visibility. Renamed metric labels for clarity: name -> consumer/producer/subscriber, and added explicit workspace label alongside flow. Fixed bug where request_response_spec labelled response subscriber with request_name instead of response_name. Removed unused Histogram imports from model and service files.
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
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import json
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import logging
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from datetime import datetime, timezone
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from uuid import uuid4
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from . producer import Producer
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from . metrics import ProducerMetrics
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from trustgraph.schema import AuditEvent, audit_events_queue
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logger = logging.getLogger(__name__)
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class AuditPublisher:
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def __init__(self, backend, component_name, processor_id=None):
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self.component_name = component_name
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self.producer = Producer(
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backend=backend,
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topic=audit_events_queue,
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schema=AuditEvent,
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metrics=ProducerMetrics(
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processor=processor_id or component_name,
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producer="audit-events",
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),
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)
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async def emit(self, event_type, payload):
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event = AuditEvent(
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schema_version=1,
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event_id=str(uuid4()),
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event_type=event_type,
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timestamp=datetime.now(timezone.utc).isoformat(),
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producer=self.component_name,
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payload_json=json.dumps(payload),
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)
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try:
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await self.producer.send(event)
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except Exception as e:
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logger.warning(f"Failed to emit audit event: {e}")
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