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https://github.com/Sea-Haven-Industries/procurement-ingest.git
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36 lines
1.5 KiB
Python
36 lines
1.5 KiB
Python
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"""Parse-outcome telemetry for the work-order email processor.
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Pure stdout EMF emitter -- no AWS client, no boto3. The extraction path is async
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and the role already has logs:PutLogEvents, so parse outcomes are written as EMF
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log lines rather than PutMetricData API calls.
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"""
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from emf import emit_parse_outcome
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# CloudWatch EMF namespace + metric for parse-outcome observability.
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METRIC_NAMESPACE = "Seahaven/WorkorderIngest"
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def emit_parse_metric(method, template_id, reason_code, work_order_id):
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"""Emit one CloudWatch EMF line recording the parse outcome.
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Zero-latency (no PutMetricData API call): the extraction path is async and
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the role already has logs:PutLogEvents. ParseMethod/TemplateId are the only
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promoted (dimensioned) fields to keep cardinality low; ReasonCode and
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work_order_id ride along as Logs-Insights-queryable properties.
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Two dimension sets are published: ["ParseMethod"] (aggregated across all
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template ids -- the series the fallback-rate alarm queries) AND
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["ParseMethod", "TemplateId"] (per-template breakdown for Logs Insights /
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dashboards). CloudWatch materializes only the exact dimension sets listed
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here and does NOT auto-aggregate, so the alarm's single-dimension query
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would receive no data unless ["ParseMethod"] is emitted explicitly."""
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emit_parse_outcome(
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METRIC_NAMESPACE,
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method,
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template_id,
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reason_code,
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"work_order_id",
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work_order_id,
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)
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