mirror of
https://github.com/rcourtman/Pulse.git
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88d419dd5b
Phase 1 of Pulse AI differentiation: - Create internal/ai/context package with types, trends, builder, formatter - Implement linear regression for trend computation (growing/declining/stable/volatile) - Add storage capacity predictions (predicts days until 90% and 100%) - Wire MetricsHistory from monitor to patrol service - Update patrol to use buildEnrichedContext instead of basic summary - Update patrol prompt to reference trend indicators and predictions This gives the AI awareness of historical patterns, enabling it to: - Identify resources with concerning growth rates - Predict capacity exhaustion before it happens - Distinguish between stable high usage vs growing problems - Provide more actionable, time-aware insights All tests passing. Falls back to basic summary if metrics history unavailable.
41 lines
858 B
Go
41 lines
858 B
Go
package config
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import (
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"testing"
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"time"
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)
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func TestSaveLoadAIUsageHistory(t *testing.T) {
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dir := t.TempDir()
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cp := NewConfigPersistence(dir)
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now := time.Now()
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events := []AIUsageEventRecord{
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{
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Timestamp: now,
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Provider: "openai",
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RequestModel: "openai:gpt-4o",
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InputTokens: 123,
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OutputTokens: 45,
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UseCase: "chat",
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TargetType: "vm",
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TargetID: "vm-101",
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},
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}
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if err := cp.SaveAIUsageHistory(events); err != nil {
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t.Fatalf("SaveAIUsageHistory: %v", err)
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}
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loaded, err := cp.LoadAIUsageHistory()
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if err != nil {
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t.Fatalf("LoadAIUsageHistory: %v", err)
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}
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if len(loaded.Events) != 1 {
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t.Fatalf("expected 1 event, got %d", len(loaded.Events))
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}
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if loaded.Events[0].Provider != "openai" || loaded.Events[0].InputTokens != 123 {
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t.Fatalf("loaded event mismatch: %+v", loaded.Events[0])
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}
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}
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