Files
Maven/cmd/mavend/quiet_toggle.go
T
kami c5317eb2b4 Move the quiet-toggle and pattern-extraction slices out of voice.go (#321)
Continues the decomposition PR #50 started. voice.go 542 -> 365:

  quiet_toggle.go  144  resolveQuietToggle, quietInflections, quietStem,
                        quietTokens, quietPhrase, quietOn/OffPhrases,
                        classifyQuietToggle  (quiet_toggle_test.go already
                        existed for these)
  patterns.go     +44  detectPattern, next to detectAndPropose which it calls
                        and which patterns.go's own header already pointed at

What is left in voice.go is the handler: reactiveHandler, HandlePushToTalk,
handleText, runTurn, applyAction, replySystem, chatHistory, reply.

Move-only: all 133 distinct non-blank lines removed from voice.go were
matched in the two destination files, zero lines added to voice.go. The only
non-move edits are import lists (log added to patterns.go, unicode and
internal/pattern dropped from voice.go) and two comments that pointed at
voice.go for code that is no longer there.
2026-08-01 01:30:06 +04:00

145 lines
5.1 KiB
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// Quiet-mode toggle recognition — the pre-route keyword check that lets
// "тихий режим" flip the daemon-wide quiet_hours config without going through
// the router. Moved out of voice.go unchanged (Vikunja #321); the tests live in
// quiet_toggle_test.go.
package main
import (
"context"
"log"
"strings"
"unicode"
"github.com/kami/maven/internal/ipc"
)
// resolveQuietToggle — pre-route keyword check. Returns (reply, true) when
// the utterance is a quiet-on/off command; ("", false) otherwise. Called from
// 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) {
on, off := classifyQuietToggle(text)
if !on && !off {
return "", false
}
val := "false"
reply := "тихий режим выключен."
if on {
val = "true"
reply = "тихий режим включён. буду реже напоминать."
}
if _, err := h.api.WriteFact(ctx, ipc.WriteFactReq{
Ts: h.now(),
Kind: "config",
Key: "quiet_hours",
Value: val,
Source: "tap:voice",
Confidence: 1.0,
}); err != nil {
log.Printf("voice: write quiet_hours: %v", err)
return "не получилось переключить тихий режим.", true
}
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
}