Merge branch 'worktree-agent-a88193d1d84b04a5b' into integration/small-batch

This commit is contained in:
kami
2026-07-31 23:38:00 +04:00
2 changed files with 364 additions and 296 deletions
+362
View File
@@ -0,0 +1,362 @@
// actionTable dispatches applyAction's per-intent bodies. Each of the 7
// intents (fact, reminder, note, query, act, chat, system) has one handler
// here with the signature:
//
// func(h *reactiveHandler, ctx context.Context, dec router.Decision) string
//
// same contract as applyAction itself: "" means "let the Replier phrase the
// reply", a non-empty string OVERRIDES it. This is a straight extraction of
// applyAction's old switch cases (formerly ~300 lines in voice.go) — no
// reordering of side effects, no new abstractions inside a handler.
//
// What does NOT belong in this table, because it is not per-intent:
//
// - the dec.Clarify short-circuit ("" when the router's stage-3 fired) —
// stays in applyAction, before dispatch, since it applies to every
// intent identically.
// - the destructive-act confirm gate (park / resolveConfirm / confirmTTL)
// and the enabled-tool allowlist. Both live entirely inside
// actionAct/handleAct below, exactly where they lived in the old
// switch's IntentAct case — they are act-specific (a fact or a note
// can't be destructive), not shared across intents, so they do not need
// to move to a separate layer. The important invariant, preserved
// as-is: applyAction runs identically whether dec came from a fresh
// route or from a completed clarify answer (see finishClarified in
// clarify.go and its comment "filling in an argument never grants
// authority") — a handler must never special-case a clarify-completed
// decision to skip the confirm gate or the allowlist.
// - detectPattern and dialogue-session bookkeeping (rememberTurn,
// followUpMerge) run in the callers (handleText, HandlePushToTalk,
// finishClarified), not per-intent, and are untouched by this slice.
//
// Adding an intent: write its handler here, add one line to actionHandlers.
// Do not grow applyAction's switch back.
package main
import (
"context"
"errors"
"fmt"
"log"
"strconv"
"time"
"github.com/kami/maven/internal/ipc"
"github.com/kami/maven/internal/memory"
"github.com/kami/maven/internal/router"
"github.com/kami/maven/internal/tool"
"github.com/kami/maven/internal/weather"
)
// actionHandlers is the per-intent dispatch table used by applyAction.
var actionHandlers = map[router.Intent]func(*reactiveHandler, context.Context, router.Decision) string{
router.IntentFact: (*reactiveHandler).actionFact,
router.IntentReminder: (*reactiveHandler).actionReminder,
router.IntentAct: (*reactiveHandler).actionAct,
router.IntentChat: (*reactiveHandler).actionChat,
router.IntentSystem: (*reactiveHandler).actionSystem,
router.IntentNote: (*reactiveHandler).actionNote,
router.IntentQuery: (*reactiveHandler).actionQuery,
}
func (h *reactiveHandler) actionFact(ctx context.Context, dec router.Decision) string {
if !dec.Slots.HasKey {
return "не разобрала, что записать — попробуй иначе."
}
now := h.now()
req := ipc.WriteFactReq{
Ts: now,
Kind: "self",
Key: dec.Slots.Key,
Value: dec.Slots.Value,
Source: "tap:voice",
Confidence: 1.0,
// Subject: the key doubles as the entity-resolution candidate —
// a voice-tapped fact's key is usually the thing/person it's
// about ("espresso_machine", "kate"), so queueing it for Nexus
// resolution costs one async lookup and is a no-op (not_found)
// for the abstract self-state keys (mood, water) that aren't
// entities at all.
Subject: dec.Slots.Key,
}
factID, err := h.api.WriteFact(ctx, req)
if err != nil {
log.Printf("voice: write fact: %v", err)
return "не получилось сохранить факт."
}
// Index the fact utterance in long-term memory (best-effort, must not
// fail the fact write). Facts aren't in the notes table, so this is the
// only recall path for them — "когда я пил воду?" reads back from here.
if h.memStore != nil {
if vec, err := router.EmbedPassage(ctx, h.embedder, dec.Utterance); err != nil {
log.Printf("voice: embed fact for memory: %v", err)
} else if err := h.memStore.Insert(ctx, "fact:"+dec.Slots.Key+":"+strconv.FormatInt(now.Unix(), 10), vec, map[string]string{
"source": "voice",
"type": "fact",
"text": dec.Utterance,
"ts": strconv.FormatInt(now.Unix(), 10),
}); err != nil {
log.Printf("voice: memory insert fact: %v", err)
}
}
// Event extraction + pattern detection (best-effort, must not fail the
// fact write). If the fact describes a recognizable action, it becomes a
// normalized event; if ≥3 events for the same action+object show stable
// intervals, a proposed routine is created and parked for confirmation.
if h.dataStore != nil {
if phrase := h.detectPattern(ctx, factID, dec.Slots.Key, dec.Slots.Value, now); phrase != "" {
return phrase // "ты заправляешь ... напоминать?"
}
}
return "" // replier phrases the success reply
}
func (h *reactiveHandler) actionReminder(ctx context.Context, dec router.Decision) string {
if !dec.Slots.HasTime {
// Stage-0 (reminder-wakeword grammar) skips the extractor, so the
// time wasn't parsed. Run the parser as a fallback.
if dec.Stage == 0 && h.timeParser != nil {
t, ok, err := h.timeParser.Parse(ctx, dec.Utterance, h.now())
if err == nil && ok {
dec.Slots.Time = t
dec.Slots.HasTime = true
}
}
if !dec.Slots.HasTime {
return "не получилось разобрать время напоминания."
}
}
payload := `{"text":` + jsonString(dec.Utterance) + `}`
if _, err := h.api.CreateReminder(ctx, dec.Slots.Time, payload, ""); err != nil {
log.Printf("voice: create reminder: %v", err)
return "не получилось поставить напоминание."
}
return ""
}
func (h *reactiveHandler) actionAct(ctx context.Context, dec router.Decision) string {
// tool executor: run the matched fn against the enabled allowlist.
// HasFn=false ⇒ try the matcher (for LLM-routed acts where the verb
// didn't go through the stage-0 act grammar).
if !dec.Slots.HasFn && dec.Slots.Text != "" && h.matcher != nil {
if fn, args, ok := h.matcher.Match(dec.Slots.Text); ok {
dec.Slots.Fn, dec.Slots.Args, dec.Slots.HasFn = fn, args, true
}
}
// Praxis ecosystem tools: intercept before the system command executor.
if h.ecosystem != nil && h.ecosystem.praxis != nil && dec.Slots.HasFn {
if reply := h.handlePraxisAct(ctx, dec); reply != "" {
return reply
}
}
// Hexis ecosystem action: if ecosystem is configured and we have a verb
// + entity text, try to resolve the entity and execute via Hexis.
if h.ecosystem != nil && h.ecosystem.hexis != nil && dec.Slots.Text != "" {
if reply := h.handleHexisAct(ctx, dec); reply != "" {
return reply
}
}
// HasFn still false ⇒ no allowlist match: scaffold a 'proposed' tool
// the user can enable on the authed surface ("earn the right to ask").
if !dec.Slots.HasFn {
return h.proposeGap(ctx, dec)
}
out, err := h.tools.Exec(ctx, dec.Slots.Fn, dec.Slots.Args, false)
if err != nil {
switch {
case errors.Is(err, tool.ErrNeedsConfirm):
// destructive: park it and ask. The next utterance answers.
phrase := actPhrase(dec.Slots.Fn, dec.Slots.Args)
h.park(dec.Slots.Fn, dec.Slots.Args, phrase)
return "выполнить «" + phrase + "»? скажи «да» или «нет»."
case errors.Is(err, tool.ErrNotEnabled):
return h.proposeGap(ctx, dec)
}
log.Printf("voice: tool %s: %v", dec.Slots.Fn, err)
if out != "" {
return "не получилось выполнить команду: " + firstLine(out)
}
return "не получилось выполнить команду."
}
if out != "" {
return "готово: " + firstLine(out)
}
return "готово."
}
func (h *reactiveHandler) actionChat(ctx context.Context, dec router.Decision) string {
// Conversational: build history from dialogue session (prior user turns)
// and let the LLM respond from general knowledge + context.
history := h.chatHistory()
reply, err := h.phraser.PhraseChat(ctx, dec.Utterance, history)
if err != nil {
log.Printf("voice: chat: %v", err)
return "поговорили."
}
return reply
}
func (h *reactiveHandler) actionSystem(ctx context.Context, dec router.Decision) string {
return h.replySystem(ctx, dec)
}
func (h *reactiveHandler) actionNote(ctx context.Context, dec router.Decision) string {
// embed the note text with the same model the classifier uses, persist
// via CoreAPI (source=tap:voice). Semantic recall lives in `notes`, not
// facts — no predicate reads it (spec's two-memory split).
vec, err := router.EmbedPassage(ctx, h.embedder, dec.Utterance)
if err != nil {
log.Printf("voice: embed note: %v", err)
return "не получилось сохранить заметку."
}
noteTs := h.now()
noteID, err := h.api.WriteNote(ctx, noteTs, dec.Utterance, vec, "tap:voice")
if err != nil {
log.Printf("voice: write note: %v", err)
return "не получилось сохранить заметку."
}
// Insert into long-term memory (best-effort, must not fail the note write).
// text/ts in the meta make a Search hit self-describing (see bestRecall).
if h.memStore != nil {
if err := h.memStore.Insert(ctx, "note:"+strconv.FormatInt(noteID, 10), vec, map[string]string{
"source": "voice",
"type": "note",
"text": dec.Utterance,
"ts": strconv.FormatInt(noteTs.Unix(), 10),
}); err != nil {
log.Printf("voice: memory insert: %v", err)
}
}
return "" // replier phrases the "saved" reply
}
func (h *reactiveHandler) actionQuery(ctx context.Context, dec router.Decision) string {
// Fact-by-key lookup: when the dialogue layer resolved an anaphoric
// reference to a prior fact's key (e.g. "когда я это сделал?" after
// "запиши что я пил воду"), look up the fact's value directly.
if dec.Slots.HasKey && dec.Slots.Key != "" {
if f, err := h.api.LatestFact(ctx, dec.Slots.Key); err == nil {
if dec.Slots.HasTime {
// The query asks about timing — the fact's own timestamp
// is the answer it's looking for. Format as a natural reply.
reply := fmt.Sprintf("я записала это %s", formatTime(f.Ts))
return reply
}
// General fact reference: describe what we know.
if dec.Utterance == "" {
return fmt.Sprintf("вот что я знаю: %s — %s", dec.Slots.Key, f.Value)
}
// The utterance still carries the question; fall through to
// normal RAG with the resolved key in context.
}
}
// Calendar questions: "что у меня сегодня?", "планы на завтра?"
// h.now(), not time.Now(): the handler's clock is the injected one, so
// this arm can be tested at a fixed time like the rest.
if date, ok := router.ParseCalendarDate(dec.Utterance, h.now()); ok {
events, err := h.api.CalendarEvents(ctx, date, date.Add(24*time.Hour))
if err != nil {
log.Printf("voice: calendar events: %v", err)
return "не получилось проверить календарь."
}
values := make([]string, len(events))
for i, e := range events {
values[i] = e.Value
}
var f router.CalendarEventFormatter
return f.Format(values, date)
}
// Weather questions
if isWeatherQuery(dec.Utterance) {
loc := extractWeatherLocation(dec.Utterance, h.weatherLocation)
ctxWT, cancel := context.WithTimeout(ctx, 5*time.Second)
defer cancel()
w, err := h.weatherProvider.CurrentWeather(ctxWT, loc)
if errors.Is(err, weather.ErrNotConfigured) {
return "погода не настроена."
}
if err != nil {
log.Printf("voice: weather: %v", err)
return "не получилось узнать погоду."
}
return fmt.Sprintf("в %s сейчас %.0f градусов, %s.", w.Location, w.Temperature, w.Condition)
}
vec, err := router.EmbedQuery(ctx, h.embedder, dec.Utterance)
if err != nil {
log.Printf("voice: embed query: %v", err)
return "не получилось найти ответ."
}
// Long-term memory first: ONE search over everything Maven remembers
// (notes and facts share this index) and ONE confidence gate, so the
// memory that is clearly the best match answers — a note just as much
// as a fact.
//
// This used to run only after the notes-only gate below had already
// rejected the same note at the same score, which no note could ever
// survive a second time: the branch could only return a fact (#373).
// Order, not the gate, was the bug — the set of questions Maven answers
// is unchanged, only which memory gets to answer them.
if h.memStore != nil {
if hits, herr := h.memStore.Search(ctx, vec, 3); herr == nil {
if hit, ok := bestRecall(hits, h.queryMinScore, h.queryMinMargin); ok {
text := hit.Meta["text"]
// A note is phrased in Maven's voice; a fact is read back
// as it was stored.
if hit.Meta["type"] == "note" {
if reply, perr := h.phraser.PhraseQuery(ctx, dec.Utterance, []string{text}); perr == nil && reply != "" {
return reply
}
}
return text
}
} else {
log.Printf("voice: memory search: %v", herr)
}
}
notes, err := h.api.QueryNotes(ctx, vec, 5)
if err != nil {
log.Printf("voice: query notes: %v", err)
return "не получилось найти ответ."
}
// Notes-only pass, for notes the vector index above does not hold (an
// older note written before it existed). Same gate, notes-only
// candidates.
//
// Confidence gate: below it, say "I don't know" rather than read back
// the least-unrelated note — a confident wrong recall is worse than a
// gap (spec's "not a guesser-of-truth"). Same instinct as the loop's
// since(key)==null → don't fire. Two parts: an absolute cosine floor,
// and a margin over the runner-up, which is the part that works with
// the e5 embedder's narrow score band. See memory.Confident.
noteScores := make([]float64, len(notes))
for i, n := range notes {
noteScores[i] = n.Score
}
if !memory.ConfidentScores(noteScores, h.queryMinScore, h.queryMinMargin) {
// Try general knowledge from the phraser before giving up
reply, err := h.phraser.PhraseQuery(ctx, dec.Utterance, nil)
if err != nil || reply == "" {
return "не знаю."
}
return reply
}
texts := make([]string, len(notes))
for i, n := range notes {
texts[i] = n.Text
}
reply, err := h.phraser.PhraseQuery(ctx, dec.Utterance, texts)
if err != nil {
log.Printf("voice: phrase query: %v", err)
}
if reply == "" {
reply = "вот что я нашла: " + texts[0]
}
return reply
}
+2 -296
View File
@@ -51,7 +51,6 @@ import (
"log"
"os"
"path/filepath"
"strconv"
"strings"
"sync"
"time"
@@ -561,301 +560,8 @@ func (h *reactiveHandler) applyAction(ctx context.Context, dec router.Decision)
if dec.Clarify {
return "" // the Replier phrases clarify
}
switch dec.Intent {
case router.IntentFact:
if !dec.Slots.HasKey {
return "не разобрала, что записать — попробуй иначе."
}
now := h.now()
req := ipc.WriteFactReq{
Ts: now,
Kind: "self",
Key: dec.Slots.Key,
Value: dec.Slots.Value,
Source: "tap:voice",
Confidence: 1.0,
// Subject: the key doubles as the entity-resolution candidate —
// a voice-tapped fact's key is usually the thing/person it's
// about ("espresso_machine", "kate"), so queueing it for Nexus
// resolution costs one async lookup and is a no-op (not_found)
// for the abstract self-state keys (mood, water) that aren't
// entities at all.
Subject: dec.Slots.Key,
}
factID, err := h.api.WriteFact(ctx, req)
if err != nil {
log.Printf("voice: write fact: %v", err)
return "не получилось сохранить факт."
}
// Index the fact utterance in long-term memory (best-effort, must not
// fail the fact write). Facts aren't in the notes table, so this is the
// only recall path for them — "когда я пил воду?" reads back from here.
if h.memStore != nil {
if vec, err := router.EmbedPassage(ctx, h.embedder, dec.Utterance); err != nil {
log.Printf("voice: embed fact for memory: %v", err)
} else if err := h.memStore.Insert(ctx, "fact:"+dec.Slots.Key+":"+strconv.FormatInt(now.Unix(), 10), vec, map[string]string{
"source": "voice",
"type": "fact",
"text": dec.Utterance,
"ts": strconv.FormatInt(now.Unix(), 10),
}); err != nil {
log.Printf("voice: memory insert fact: %v", err)
}
}
// Event extraction + pattern detection (best-effort, must not fail the
// fact write). If the fact describes a recognizable action, it becomes a
// normalized event; if ≥3 events for the same action+object show stable
// intervals, a proposed routine is created and parked for confirmation.
if h.dataStore != nil {
if phrase := h.detectPattern(ctx, factID, dec.Slots.Key, dec.Slots.Value, now); phrase != "" {
return phrase // "ты заправляешь ... напоминать?"
}
}
return "" // replier phrases the success reply
case router.IntentReminder:
if !dec.Slots.HasTime {
// Stage-0 (reminder-wakeword grammar) skips the extractor, so the
// time wasn't parsed. Run the parser as a fallback.
if dec.Stage == 0 && h.timeParser != nil {
t, ok, err := h.timeParser.Parse(ctx, dec.Utterance, h.now())
if err == nil && ok {
dec.Slots.Time = t
dec.Slots.HasTime = true
}
}
if !dec.Slots.HasTime {
return "не получилось разобрать время напоминания."
}
}
payload := `{"text":` + jsonString(dec.Utterance) + `}`
if _, err := h.api.CreateReminder(ctx, dec.Slots.Time, payload, ""); err != nil {
log.Printf("voice: create reminder: %v", err)
return "не получилось поставить напоминание."
}
return ""
case router.IntentAct:
// tool executor: run the matched fn against the enabled allowlist.
// HasFn=false ⇒ try the matcher (for LLM-routed acts where the verb
// didn't go through the stage-0 act grammar).
if !dec.Slots.HasFn && dec.Slots.Text != "" && h.matcher != nil {
if fn, args, ok := h.matcher.Match(dec.Slots.Text); ok {
dec.Slots.Fn, dec.Slots.Args, dec.Slots.HasFn = fn, args, true
}
}
// Praxis ecosystem tools: intercept before the system command executor.
if h.ecosystem != nil && h.ecosystem.praxis != nil && dec.Slots.HasFn {
if reply := h.handlePraxisAct(ctx, dec); reply != "" {
return reply
}
}
// Hexis ecosystem action: if ecosystem is configured and we have a verb
// + entity text, try to resolve the entity and execute via Hexis.
if h.ecosystem != nil && h.ecosystem.hexis != nil && dec.Slots.Text != "" {
if reply := h.handleHexisAct(ctx, dec); reply != "" {
return reply
}
}
// HasFn still false ⇒ no allowlist match: scaffold a 'proposed' tool
// the user can enable on the authed surface ("earn the right to ask").
if !dec.Slots.HasFn {
return h.proposeGap(ctx, dec)
}
out, err := h.tools.Exec(ctx, dec.Slots.Fn, dec.Slots.Args, false)
if err != nil {
switch {
case errors.Is(err, tool.ErrNeedsConfirm):
// destructive: park it and ask. The next utterance answers.
phrase := actPhrase(dec.Slots.Fn, dec.Slots.Args)
h.park(dec.Slots.Fn, dec.Slots.Args, phrase)
return "выполнить «" + phrase + "»? скажи «да» или «нет»."
case errors.Is(err, tool.ErrNotEnabled):
return h.proposeGap(ctx, dec)
}
log.Printf("voice: tool %s: %v", dec.Slots.Fn, err)
if out != "" {
return "не получилось выполнить команду: " + firstLine(out)
}
return "не получилось выполнить команду."
}
if out != "" {
return "готово: " + firstLine(out)
}
return "готово."
case router.IntentChat:
// Conversational: build history from dialogue session (prior user turns)
// and let the LLM respond from general knowledge + context.
history := h.chatHistory()
reply, err := h.phraser.PhraseChat(ctx, dec.Utterance, history)
if err != nil {
log.Printf("voice: chat: %v", err)
return "поговорили."
}
return reply
case router.IntentSystem:
return h.replySystem(ctx, dec)
case router.IntentNote:
// embed the note text with the same model the classifier uses, persist
// via CoreAPI (source=tap:voice). Semantic recall lives in `notes`, not
// facts — no predicate reads it (spec's two-memory split).
vec, err := router.EmbedPassage(ctx, h.embedder, dec.Utterance)
if err != nil {
log.Printf("voice: embed note: %v", err)
return "не получилось сохранить заметку."
}
noteTs := h.now()
noteID, err := h.api.WriteNote(ctx, noteTs, dec.Utterance, vec, "tap:voice")
if err != nil {
log.Printf("voice: write note: %v", err)
return "не получилось сохранить заметку."
}
// Insert into long-term memory (best-effort, must not fail the note write).
// text/ts in the meta make a Search hit self-describing (see bestRecall).
if h.memStore != nil {
if err := h.memStore.Insert(ctx, "note:"+strconv.FormatInt(noteID, 10), vec, map[string]string{
"source": "voice",
"type": "note",
"text": dec.Utterance,
"ts": strconv.FormatInt(noteTs.Unix(), 10),
}); err != nil {
log.Printf("voice: memory insert: %v", err)
}
}
return "" // replier phrases the "saved" reply
case router.IntentQuery:
// Fact-by-key lookup: when the dialogue layer resolved an anaphoric
// reference to a prior fact's key (e.g. "когда я это сделал?" after
// "запиши что я пил воду"), look up the fact's value directly.
if dec.Slots.HasKey && dec.Slots.Key != "" {
if f, err := h.api.LatestFact(ctx, dec.Slots.Key); err == nil {
if dec.Slots.HasTime {
// The query asks about timing — the fact's own timestamp
// is the answer it's looking for. Format as a natural reply.
reply := fmt.Sprintf("я записала это %s", formatTime(f.Ts))
return reply
}
// General fact reference: describe what we know.
if dec.Utterance == "" {
return fmt.Sprintf("вот что я знаю: %s — %s", dec.Slots.Key, f.Value)
}
// The utterance still carries the question; fall through to
// normal RAG with the resolved key in context.
}
}
// Calendar questions: "что у меня сегодня?", "планы на завтра?"
// h.now(), not time.Now(): the handler's clock is the injected one, so
// this arm can be tested at a fixed time like the rest.
if date, ok := router.ParseCalendarDate(dec.Utterance, h.now()); ok {
events, err := h.api.CalendarEvents(ctx, date, date.Add(24*time.Hour))
if err != nil {
log.Printf("voice: calendar events: %v", err)
return "не получилось проверить календарь."
}
values := make([]string, len(events))
for i, e := range events {
values[i] = e.Value
}
var f router.CalendarEventFormatter
return f.Format(values, date)
}
// Weather questions
if isWeatherQuery(dec.Utterance) {
loc := extractWeatherLocation(dec.Utterance, h.weatherLocation)
ctxWT, cancel := context.WithTimeout(ctx, 5*time.Second)
defer cancel()
w, err := h.weatherProvider.CurrentWeather(ctxWT, loc)
if errors.Is(err, weather.ErrNotConfigured) {
return "погода не настроена."
}
if err != nil {
log.Printf("voice: weather: %v", err)
return "не получилось узнать погоду."
}
return fmt.Sprintf("в %s сейчас %.0f градусов, %s.", w.Location, w.Temperature, w.Condition)
}
vec, err := router.EmbedQuery(ctx, h.embedder, dec.Utterance)
if err != nil {
log.Printf("voice: embed query: %v", err)
return "не получилось найти ответ."
}
// Long-term memory first: ONE search over everything Maven remembers
// (notes and facts share this index) and ONE confidence gate, so the
// memory that is clearly the best match answers — a note just as much
// as a fact.
//
// This used to run only after the notes-only gate below had already
// rejected the same note at the same score, which no note could ever
// survive a second time: the branch could only return a fact (#373).
// Order, not the gate, was the bug — the set of questions Maven answers
// is unchanged, only which memory gets to answer them.
if h.memStore != nil {
if hits, herr := h.memStore.Search(ctx, vec, 3); herr == nil {
if hit, ok := bestRecall(hits, h.queryMinScore, h.queryMinMargin); ok {
text := hit.Meta["text"]
// A note is phrased in Maven's voice; a fact is read back
// as it was stored.
if hit.Meta["type"] == "note" {
if reply, perr := h.phraser.PhraseQuery(ctx, dec.Utterance, []string{text}); perr == nil && reply != "" {
return reply
}
}
return text
}
} else {
log.Printf("voice: memory search: %v", herr)
}
}
notes, err := h.api.QueryNotes(ctx, vec, 5)
if err != nil {
log.Printf("voice: query notes: %v", err)
return "не получилось найти ответ."
}
// Notes-only pass, for notes the vector index above does not hold (an
// older note written before it existed). Same gate, notes-only
// candidates.
//
// Confidence gate: below it, say "I don't know" rather than read back
// the least-unrelated note — a confident wrong recall is worse than a
// gap (spec's "not a guesser-of-truth"). Same instinct as the loop's
// since(key)==null → don't fire. Two parts: an absolute cosine floor,
// and a margin over the runner-up, which is the part that works with
// the e5 embedder's narrow score band. See memory.Confident.
noteScores := make([]float64, len(notes))
for i, n := range notes {
noteScores[i] = n.Score
}
if !memory.ConfidentScores(noteScores, h.queryMinScore, h.queryMinMargin) {
// Try general knowledge from the phraser before giving up
reply, err := h.phraser.PhraseQuery(ctx, dec.Utterance, nil)
if err != nil || reply == "" {
return "не знаю."
}
return reply
}
texts := make([]string, len(notes))
for i, n := range notes {
texts[i] = n.Text
}
reply, err := h.phraser.PhraseQuery(ctx, dec.Utterance, texts)
if err != nil {
log.Printf("voice: phrase query: %v", err)
}
if reply == "" {
reply = "вот что я нашла: " + texts[0]
}
return reply
if handler, ok := actionHandlers[dec.Intent]; ok {
return handler(h, ctx, dec)
}
return ""
}