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Add a new TelemetryEvent database model to capture structured telemetry events from pipeline services. This enables tracking of scheduler submissions, runtime errors, job skips, and test results across all runtimes, we will send this telemetry events from pipeline to api. The collection uses a 14-day TTL index (configurable via TELEMETRY_TTL_SECONDS env var) for automatic cleanup, plus compound indexes optimized for common query patterns (by kind, runtime+device_type, job_name, and result+infra_error). Also moves EVENT_HISTORY_TTL_SECONDS to the top of the file alongside the new TELEMETRY_TTL_SECONDS constant for consistency. Signed-off-by: Denys Fedoryshchenko <denys.f@collabora.com>
Add abstract Telemetry interface and concrete LatestAPI implementation for pipeline telemetry endpoints: add(events): Bulk insert telemetry events via POST /telemetry find(attributes): Query events with filters via GET /telemetry stats(attributes): Get aggregated statistics via GET /telemetry/stats Signed-off-by: Denys Fedoryshchenko <denys.f@collabora.com>
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This is groundwork to introduce models required by kernelci/kernelci-pipeline#1419