Match quiet-mode toggles on whole words, and resolve OFF first

This commit is contained in:
kami
2026-08-01 01:02:10 +04:00
parent ed48c59ba7
commit f7e1187823
2 changed files with 219 additions and 20 deletions
+114
View File
@@ -0,0 +1,114 @@
package main
import (
"context"
"testing"
"time"
"github.com/kami/maven/internal/ipc"
)
// quietFakeAPI records the WriteFact the toggle performs.
type quietFakeAPI struct {
ipc.UnimplementedCoreAPI
got ipc.WriteFactReq
call int
}
func (a *quietFakeAPI) WriteFact(_ context.Context, req ipc.WriteFactReq) (int64, error) {
a.got, a.call = req, a.call+1
return 1, nil
}
// quietVerdict — what a phrase should do to the setting.
type quietVerdict int
const (
quietNone quietVerdict = iota
quietOn
quietOff
)
func TestResolveQuietToggle(t *testing.T) {
cases := []struct {
text string
want quietVerdict
}{
// ON vocabulary.
{"quiet on", quietOn},
{"quiet mode", quietOn},
{"тихий режим", quietOn},
{"тихий", quietOn},
{"не шуми", quietOn},
{"не беспокоить", quietOn},
{"тихо", quietOn},
// ON, inflected / embedded in a sentence.
{"включи тихий режим", quietOn},
{"побудь в тихом режиме", quietOn},
{"Тихий Режим!", quietOn},
{"тихая", quietOn},
// OFF vocabulary — all seven, incl. the three that used to say ON.
{"quiet off", quietOff},
{"quiet end", quietOff},
{"громкий режим", quietOff},
{"шумный режим", quietOff},
{"отмени тихий", quietOff},
{"выключи тихий", quietOff},
{"не тихо", quietOff},
// OFF wins over the ON words it contains.
{"выключи тихий режим", quietOff},
{"отмени тихий режим пожалуйста", quietOff},
{"верни громкий режим", quietOff},
// False positives: "тихо"/"тихий" as ordinary Russian.
{"очень тихий сегодня день", quietNone},
{"в комнате тихо", quietNone},
{"тихонько напомни", quietNone},
{"потихоньку", quietNone},
{"тихонько", quietNone},
{"он говорил тихим голосом весь вечер", quietNone},
// Unrelated.
{"напомни завтра позвонить маме", quietNone},
{"какая погода", quietNone},
{"", quietNone},
}
for _, tc := range cases {
t.Run(tc.text, func(t *testing.T) {
api := &quietFakeAPI{}
h := &reactiveHandler{api: api, now: func() time.Time { return time.Unix(0, 0).UTC() }}
reply, handled := h.resolveQuietToggle(context.Background(), tc.text)
if tc.want == quietNone {
if handled || reply != "" {
t.Fatalf("%q: got (%q, %v), want no match", tc.text, reply, handled)
}
if api.call != 0 {
t.Fatalf("%q: wrote a fact on a non-match", tc.text)
}
return
}
if !handled {
t.Fatalf("%q: not handled, want %v", tc.text, tc.want)
}
wantReply, wantVal := "тихий режим выключен.", "false"
if tc.want == quietOn {
wantReply, wantVal = "тихий режим включён. буду реже напоминать.", "true"
}
if reply != wantReply {
t.Errorf("%q: reply = %q, want %q", tc.text, reply, wantReply)
}
if api.call != 1 {
t.Fatalf("%q: WriteFact called %d times, want 1", tc.text, api.call)
}
if api.got.Kind != "config" || api.got.Key != "quiet_hours" || api.got.Source != "tap:voice" || api.got.Confidence != 1.0 {
t.Errorf("%q: request shape = %+v", tc.text, api.got)
}
if api.got.Value != wantVal {
t.Errorf("%q: value = %q, want %q", tc.text, api.got.Value, wantVal)
}
})
}
}
+105 -20
View File
@@ -50,6 +50,7 @@ import (
"strings"
"sync"
"time"
"unicode"
"github.com/kami/maven/internal/audio"
"github.com/kami/maven/internal/dialogue"
@@ -323,27 +324,12 @@ func (h *reactiveHandler) detectPattern(ctx context.Context, factID int64, key,
// resolveQuietToggle — pre-route keyword check. Returns (reply, true) when
// the utterance is a quiet-on/off command; ("", false) otherwise. Called from
// HandlePushToTalk BEFORE the router so a classifier miscue can't drop it.
// runTurn BEFORE the router so a classifier miscue can't drop it — which means
// both the voice path and the text path (mavweb /api/chat, telegram) reach it,
// so a false positive here is a network-reachable way to flip a daemon-wide
// setting. See classifyQuietToggle for the matching rule.
func (h *reactiveHandler) resolveQuietToggle(ctx context.Context, text string) (string, bool) {
u := strings.ToLower(strings.TrimSpace(text))
var on, off bool
// Match as whole-token phrases so "тихий" in "тихий режим включи" still
// catches, but "тихий" alone in "очень тихий сегодня день" doesn't fire.
// The confirm turn is handled above, so "да"/"нет" won't reach here.
for _, kw := range []string{"quiet on", "quiet mode", "тихий режим", "тихий", "не шуми", "не беспокоить", "тихо"} {
if strings.Contains(u, kw) {
on = true
break
}
}
if !on {
for _, kw := range []string{"quiet off", "quiet end", "громкий режим", "шумный режим", "отмени тихий", "выключи тихий", "не тихо"} {
if strings.Contains(u, kw) {
off = true
break
}
}
}
on, off := classifyQuietToggle(text)
if !on && !off {
return "", false
}
@@ -367,6 +353,105 @@ func (h *reactiveHandler) resolveQuietToggle(ctx context.Context, text string) (
return reply, true
}
// quietInflections — the inflectional endings a stem may carry and still be
// the same word. Adjective/adverb/noun/verb endings, all ≤3 letters. This is
// what separates "тихий"/"тихом"/"тихо" (stem "тих" + a real ending) from
// "тихонько"/"потихоньку", which are different words: "онько" is not an
// ending, and "потихоньку" doesn't start with the stem at all.
var quietInflections = []string{
"", "а", "е", "и", "й", "о", "у", "ы", "ю", "я",
"ая", "ее", "ей", "ем", "ие", "ий", "им", "их", "ия", "ию", "ое", "ой", "ом", "ую", "ые", "ый", "ым", "ых", "ья",
"ами", "ого", "ому", "ыми", "ать", "ить", "ять",
}
// quietStem reports whether tok is the given stem carrying at most one
// inflectional ending. Word boundaries come from tokenisation (see
// quietTokens), not from a regexp — Go's \b is ASCII-oriented and treats every
// Cyrillic letter as a non-word character, so `\bтих\b` would happily match
// inside "тихонько". Comparing whole tokens sidesteps that entirely.
func quietStem(tok, stem string) bool {
if !strings.HasPrefix(tok, stem) {
return false
}
suffix := tok[len(stem):]
for _, e := range quietInflections {
if suffix == e {
return true
}
}
return false
}
// quietTokens splits an utterance into lowercase word tokens, dropping
// punctuation and spacing. Unicode-aware, so Cyrillic words tokenise the same
// way ASCII ones do.
func quietTokens(text string) []string {
return strings.FieldsFunc(strings.ToLower(strings.TrimSpace(text)), func(r rune) bool {
return !unicode.IsLetter(r) && !unicode.IsDigit(r)
})
}
// quietPhrase matches a pattern (a sequence of stems) against the token list.
// Multi-word patterns match any contiguous run of tokens — "включи тихий
// режим" carries "тихий режим". Single-word patterns match ONLY when they are
// the whole utterance: bare "тихо" is a command, but "в комнате тихо" is a
// remark about the room and must not flip a daemon-wide setting.
func quietPhrase(tokens, pattern []string) bool {
if len(pattern) == 0 || len(tokens) < len(pattern) {
return false
}
if len(pattern) == 1 {
return len(tokens) == 1 && quietStem(tokens[0], pattern[0])
}
for i := 0; i+len(pattern) <= len(tokens); i++ {
hit := true
for j, stem := range pattern {
if !quietStem(tokens[i+j], stem) {
hit = false
break
}
}
if hit {
return true
}
}
return false
}
// quietOffPhrases / quietOnPhrases — the toggle vocabulary, as stem sequences.
var (
quietOffPhrases = [][]string{
{"quiet", "off"}, {"quiet", "end"},
{"громк", "режим"}, {"шумн", "режим"},
{"отмен", "тих"}, {"выключ", "тих"}, {"не", "тих"},
}
quietOnPhrases = [][]string{
{"quiet", "on"}, {"quiet", "mode"},
{"тих", "режим"}, {"не", "шум"}, {"не", "беспоко"},
{"тих"},
}
)
// classifyQuietToggle reads an utterance as a quiet-mode command. OFF is
// resolved before ON for the same reason classifyConfirm checks negatives
// first: the OFF phrases are built out of the ON words ("выключи тихий"
// contains "тихий"), so scanning ON first would shadow them and "выключи
// тихий режим" would turn quiet mode on. Negation wins.
func classifyQuietToggle(text string) (on, off bool) {
tokens := quietTokens(text)
for _, p := range quietOffPhrases {
if quietPhrase(tokens, p) {
return false, true
}
}
for _, p := range quietOnPhrases {
if quietPhrase(tokens, p) {
return true, false
}
}
return false, false
}
// replySystem answers system-observable queries using the handler's clock
// and (in future) system interfaces. The decision's utterance is parsed
// for keywords to determine what the user is asking about.