fix retention
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20
README.md
20
README.md
@@ -458,16 +458,19 @@ five-minute windows. Historical rate and hitcount-rate deviations then contribut
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to its anomaly score. Set `FGAI_BASELINE_DB` to use another location.
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SignalScope prunes old baseline buckets during each monitor cycle. The defaults
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keep 14 days of buckets and dedupe history, prune stale one-off categorical
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values after 7 days, and cap high-cardinality values per stream/entity/field.
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keep 7 days of buckets and dedupe history, prune stale one-off categorical
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values after 3 days, and cap high-cardinality values per stream/entity/field.
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Very noisy fields such as raw messages, URLs, payloads, request/response bodies,
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tokens, sessions, hashes and long values are still counted in bucket baselines
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but are not stored as distinct rare-value candidates.
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Tune these in the dashboard or in `state/fgai-config.json`:
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```json
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{
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"baseline_training_days": 7,
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"baseline_retention_days": 14,
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"baseline_value_retention_days": 7,
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"baseline_max_values_per_field": 2000
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"baseline_retention_days": 7,
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"baseline_value_retention_days": 3,
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"baseline_max_values_per_field": 500
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}
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```
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@@ -480,11 +483,12 @@ If an existing baseline database has already grown large, stop the monitor and
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run a manual prune plus SQLite compaction:
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```bash
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signalscope baseline-maintenance --baseline-db state/fgai-baseline.sqlite3 --retention-days 14 --value-retention-days 7 --max-values-per-field 2000 --vacuum
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signalscope baseline-maintenance --baseline-db state/fgai-baseline.sqlite3 --retention-days 7 --value-retention-days 3 --max-values-per-field 500 --vacuum
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```
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`VACUUM` can take time on a large database and should not be run while the
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monitor is actively writing.
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`VACUUM` can take time on a large database, needs free disk space roughly equal
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to the database size, and should not be run while the monitor is actively
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writing. Without `--vacuum`, SQLite may delete rows but keep the file size.
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Analyze local logs:
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