Phase 15: snapshots, forks, export/import, cognitive replay, experiments
- snapshots: checksummed JSON archive of every mind-scoped state table plus identity/personality/config and the event position; stored, downloadable - fork: restore into a new mind with all ids remapped; event references are kept so history before the fork is shared by reference - export/import: same archive; import is hostile-input validated (size, allow-listed tables, row caps, column names, checksum, forced mind_id) - compare: deterministic counts, belief diffs by proposition, personality and config diffs, event mix - replay: Runtime.Step for synchronous drivers; sandbox fork driven one stimulus at a time under a forbidden capability context; recorded model responses via a replaying router; steps labelled exact / approximate / diverged with recorded-vs-replayed digests - experiments: definition (overrides, stimuli, expectations, seed, duration), background run in a disabled subject mind, stored and exportable results - migration 0015, API, UI (Snapshots and Replay tabs, Experiments section, compare page), noemactl snapshots/compare/replay/experiments, docs
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package replay
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import (
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"context"
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"encoding/json"
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"fmt"
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"log/slog"
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"strings"
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"time"
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"github.com/jackc/pgx/v5"
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"github.com/jackc/pgx/v5/pgxpool"
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"github.com/andydixon/noema/internal/brain"
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evstore "github.com/andydixon/noema/internal/events"
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"github.com/andydixon/noema/internal/minds"
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"github.com/andydixon/noema/internal/snapshots"
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"github.com/andydixon/noema/internal/storage"
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"github.com/andydixon/noema/pkg/events"
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"github.com/andydixon/noema/pkg/ids"
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)
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// Replay is one recorded re-run.
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type Replay struct {
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ID ids.ID `json:"id"`
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MindID ids.ID `json:"mind_id"`
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SnapshotID ids.ID `json:"snapshot_id"`
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ReplayMindID *ids.ID `json:"replay_mind_id,omitempty"`
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FromSeq int64 `json:"from_seq"`
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ToSeq int64 `json:"to_seq"`
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Status string `json:"status"`
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Summary Summary `json:"summary"`
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Steps json.RawMessage `json:"steps"`
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Error string `json:"error"`
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CreatedBy string `json:"created_by"`
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CreatedAt time.Time `json:"created_at"`
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FinishedAt *time.Time `json:"finished_at,omitempty"`
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}
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// Summary counts step labels.
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type Summary struct {
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Steps int `json:"steps"`
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Exact int `json:"exact"`
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Approximate int `json:"approximate"`
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Diverged int `json:"diverged"`
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LLMLive int `json:"llm_live"`
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LLMReplayed int `json:"llm_replayed"`
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Cycles int `json:"cycles"`
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}
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// Step is the outcome of replaying one stimulus.
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type Step struct {
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Index int `json:"index"`
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StimulusID ids.ID `json:"stimulus_id"`
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InjectedID ids.ID `json:"injected_id"`
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Summary string `json:"summary"`
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Original []string `json:"original"`
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Replayed []string `json:"replayed"`
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Label string `json:"label"` // exact | approximate | diverged
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Note string `json:"note"`
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Cycles int `json:"cycles"`
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LLMLive int `json:"llm_live"`
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LLMReplayed int `json:"llm_replayed"`
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}
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// Service runs and stores replays.
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type Service struct {
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DB *pgxpool.Pool
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Events *evstore.Store
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Minds *minds.Store
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Snapshots *snapshots.Store
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Brain brain.Config // template; Services.LLM must be a replaying router
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Log *slog.Logger
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}
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// MaxStimuli bounds one replay.
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const MaxStimuli = 200
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// Run replays the source mind's perception events in (from, to] starting
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// from a snapshot, inside a fresh disabled sandbox mind.
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func (s *Service) Run(ctx context.Context, src minds.Mind, snapshotID ids.ID, from, to int64, by string) (Replay, error) {
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r, err := s.Begin(ctx, src, snapshotID, from, to, by)
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if err != nil {
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return r, err
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}
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return s.Execute(ctx, r)
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}
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// Begin validates and records a replay so callers can run Execute in the
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// background and hand the id back immediately.
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func (s *Service) Begin(ctx context.Context, src minds.Mind, snapshotID ids.ID, from, to int64, by string) (Replay, error) {
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r := Replay{ID: ids.New(), MindID: src.ID, SnapshotID: snapshotID, FromSeq: from, ToSeq: to, Status: "running", CreatedBy: by, CreatedAt: time.Now(), Steps: []byte("[]"), Summary: Summary{}}
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sn, err := s.Snapshots.Get(ctx, snapshotID)
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if err != nil || sn.MindID != src.ID {
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return r, fmt.Errorf("snapshot not found for this mind")
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}
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if from < sn.EventSeq {
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r.FromSeq = sn.EventSeq
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}
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if to <= r.FromSeq {
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if last, err := s.Events.Query(ctx, evstore.Filter{MindID: src.ID, Limit: 1}); err == nil && len(last) > 0 {
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r.ToSeq = last[0].Seq
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}
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}
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if r.ToSeq <= r.FromSeq {
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return r, fmt.Errorf("nothing to replay after event %d", r.FromSeq)
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}
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_, err = s.DB.Exec(ctx, `INSERT INTO replays (id, mind_id, snapshot_id, from_seq, to_seq, status, created_by) VALUES ($1,$2,$3,$4,$5,'running',$6)`, r.ID, src.ID, snapshotID, r.FromSeq, r.ToSeq, by)
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return r, err
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}
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// Execute performs a replay recorded by Begin.
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func (s *Service) Execute(ctx context.Context, r Replay) (Replay, error) {
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src, err := s.Minds.Get(ctx, r.MindID)
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if err != nil {
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return r, err
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}
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snapshotID, from, to, by := r.SnapshotID, r.FromSeq, r.ToSeq, r.CreatedBy
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defer func() {
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if p := recover(); p != nil {
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s.Log.Error("replay panicked", "replay", r.ID, "panic", p)
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s.DB.Exec(context.WithoutCancel(ctx), `UPDATE replays SET status='failed', error='internal error', finished_at=now() WHERE id=$1`, r.ID) //nolint:errcheck
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}
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}()
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finish := func(status, errText string, steps []Step) (Replay, error) {
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if steps == nil {
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steps = []Step{}
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}
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sj, _ := json.Marshal(steps)
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sum, _ := json.Marshal(r.Summary)
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_, err := s.DB.Exec(ctx, `UPDATE replays SET status=$2, error=$3, steps=$4, summary=$5, replay_mind_id=$6, finished_at=now() WHERE id=$1`, r.ID, status, errText, sj, sum, r.ReplayMindID)
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r.Status, r.Error, r.Steps = status, errText, sj
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if err != nil {
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return r, err
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}
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if errText != "" {
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return r, fmt.Errorf("%s", errText)
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}
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return r, nil
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}
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sn, err := s.Snapshots.Get(ctx, snapshotID)
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if err != nil || sn.MindID != src.ID {
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return finish("failed", "snapshot not found for this mind", nil)
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}
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stimuli, err := s.Events.Query(ctx, evstore.Filter{MindID: src.ID, Categories: StimulusCategories, AfterSeq: from, BeforeSeq: to + 1, Ascending: true, Limit: MaxStimuli + 1})
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if err != nil {
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return finish("failed", err.Error(), nil)
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}
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if len(stimuli) > MaxStimuli {
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return finish("failed", fmt.Sprintf("more than %d stimuli in range; narrow it", MaxStimuli), nil)
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}
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var external []events.Event
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for _, e := range stimuli {
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if isStimulus(e) {
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external = append(external, e)
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}
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}
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if len(external) == 0 {
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return finish("failed", "no perception or operator events in range", nil)
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}
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slug := "replay-" + strings.ToLower(r.ID.String()[len(r.ID.String())-8:])
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sandbox, err := s.Snapshots.Fork(ctx, snapshotID, snapshots.ForkOptions{Slug: slug, DisplayName: "Replay of " + src.DisplayName, Status: minds.StatusDisabled, By: by,
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Notes: fmt.Sprintf("replay %s of %s from event %d to %d (snapshot %s)", r.ID, src.Slug, from, to, sn.Name)})
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if err != nil {
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return finish("failed", "fork sandbox: "+err.Error(), nil)
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}
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r.ReplayMindID = &sandbox.ID
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drv, err := NewDriver(ctx, s.Brain, sandbox, "replay")
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if err != nil {
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return finish("failed", "runtime: "+err.Error(), nil)
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}
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var steps []Step
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for i, stim := range external {
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st := Step{Index: i, StimulusID: stim.ID, Summary: stim.Summary}
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// What the source produced between this stimulus and the next one.
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upper := to + 1
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if i+1 < len(external) {
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upper = external[i+1].Seq
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}
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orig, _ := s.Events.Query(ctx, evstore.Filter{MindID: src.ID, AfterSeq: stim.Seq, BeforeSeq: upper, Ascending: true, Limit: 2000})
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st.Original = Digest(withoutPerception(orig))
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startedAt := time.Now()
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inj, err := drv.Inject(ctx, stim, map[string]any{"replay_of": stim.ID, "replay_id": r.ID})
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if err != nil {
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st.Label, st.Note = "diverged", "inject failed: "+err.Error()
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steps = append(steps, st)
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continue
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}
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st.InjectedID = inj.ID
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produced, cycles, err := drv.Settle(ctx)
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st.Cycles = cycles
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r.Summary.Cycles += cycles
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if err != nil {
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st.Note = "cycle error: " + err.Error()
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}
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st.Replayed = Digest(produced)
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st.LLMLive, st.LLMReplayed = s.llmCounts(ctx, sandbox.ID, startedAt)
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r.Summary.LLMLive += st.LLMLive
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r.Summary.LLMReplayed += st.LLMReplayed
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switch {
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case st.LLMLive > 0:
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st.Label = "approximate"
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st.Note = strings.TrimSpace(st.Note + " live model call(s); recorded response not found")
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r.Summary.Approximate++
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case Same(st.Original, st.Replayed):
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st.Label = "exact"
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r.Summary.Exact++
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default:
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st.Label = "diverged"
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st.Note = strings.TrimSpace(st.Note + " deterministic run produced different events; state or code differs from the recording")
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r.Summary.Diverged++
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}
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steps = append(steps, st)
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}
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r.Summary.Steps = len(steps)
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return finish("done", "", steps)
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}
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// StimulusCategories are the event categories a mind receives from outside:
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// perceptions (messages, integrations, observations) and operator actions.
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var StimulusCategories = []events.Category{events.CatPerception, events.CatOperator}
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func isStimulus(e events.Event) bool {
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if strings.HasPrefix(e.Source, "brain") {
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return false
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}
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for _, c := range StimulusCategories {
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if e.Category == c {
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return true
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}
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}
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return false
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}
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func withoutPerception(evs []events.Event) []events.Event {
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var out []events.Event
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for _, e := range evs {
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if !isStimulus(e) {
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out = append(out, e)
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}
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}
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return out
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}
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func (s *Service) llmCounts(ctx context.Context, mind ids.ID, since time.Time) (live, replayed int) {
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s.DB.QueryRow(ctx, `SELECT count(*) FILTER (WHERE NOT replayed), count(*) FILTER (WHERE replayed) FROM llm_calls WHERE mind_id=$1 AND created_at >= $2`, mind, since).Scan(&live, &replayed) //nolint:errcheck
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return
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}
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const replayCols = `id, mind_id, snapshot_id, replay_mind_id, from_seq, to_seq, status, summary, steps, error, created_by, created_at, finished_at`
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func scan(row pgx.Row) (Replay, error) {
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var r Replay
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var sum []byte
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if err := row.Scan(&r.ID, &r.MindID, &r.SnapshotID, &r.ReplayMindID, &r.FromSeq, &r.ToSeq, &r.Status, &sum, &r.Steps, &r.Error, &r.CreatedBy, &r.CreatedAt, &r.FinishedAt); err != nil {
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return r, storage.Translate(err)
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}
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json.Unmarshal(sum, &r.Summary) //nolint:errcheck
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return r, nil
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}
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// Get returns one replay.
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func (s *Service) Get(ctx context.Context, id ids.ID) (Replay, error) {
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return scan(s.DB.QueryRow(ctx, `SELECT `+replayCols+` FROM replays WHERE id=$1`, id))
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}
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// List returns replays for a mind, newest first.
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func (s *Service) List(ctx context.Context, mind ids.ID, limit int) ([]Replay, error) {
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if limit <= 0 || limit > 200 {
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limit = 20
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}
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rows, err := s.DB.Query(ctx, `SELECT `+replayCols+` FROM replays WHERE mind_id=$1 ORDER BY created_at DESC LIMIT $2`, mind, limit)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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var out []Replay
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for rows.Next() {
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r, err := scan(rows)
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if err != nil {
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return nil, err
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}
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out = append(out, r)
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}
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return out, rows.Err()
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}
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// StepsOf decodes the steps of a replay.
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func StepsOf(r Replay) []Step {
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var out []Step
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json.Unmarshal(r.Steps, &out) //nolint:errcheck
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return out
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}
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