J.A.R.V.I.S-rust/resources/commands/personality/thanks.lua
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feat: real-Jarvis Wave 4 — personality, idle banter, persistent history, offline math, DDG search
Personality pack (`resources/commands/personality/`):
- 5 voice commands × ~7-29 phrases each across RU and EN.
- personality.greet: 4 time-of-day buckets (morning/midday/evening/night),
  pulls one of ~7 lines per bucket per language.
- personality.thanks / .compliment / .how_are_you / .tony_quote.
- how_are_you embeds live memory size + active profile via jarvis.health()
  and jarvis.memory.all() for a "feels alive" effect.
- All use jarvis.cmd.ok helpers, no inline PowerShell SAPI.
- Built by sub-agent. Verified: 6 rust command tests + 60 python tests.

Idle banter (`crates/jarvis-core/src/idle_banter.rs`):
- Background thread chimes in periodically without being asked. Gated by
  JARVIS_IDLE_BANTER env (default OFF — intrusion is opt-in).
- Quiet hours 23:00–07:00, skipped under "sleep" profile, paused during
  active interactions via `pause()`.
- 30+ static offline lines split into RU/EN × morning/evening/generic
  buckets — no network required.
- Lua API jarvis.banter.{fire, pause, resume, enabled}.
- New voice pack `banter/` exposes "скажи что-нибудь интересное",
  "помолчи", "можешь говорить".
- 6 unit tests covering pool selection, quiet hours, interval clamp,
  pause/resume, opt-in default.

Conversation continuity (`crates/jarvis-core/src/llm/history.rs`):
- New `ConversationHistory::with_persistence(path)` builder. Every
  push/clear/pop atomically writes to `<APP_CONFIG_DIR>/llm_history.json`
  so daemon restart picks up the thread.
- System prompt is intentionally NOT persisted — comes from current init
  call so prompt edits take effect immediately on restart.
- `llm::init_history` wires the path in automatically.
- 4 new tests: round-trip, clear wipes file, corrupt file tolerated,
  len/is_empty helpers.

Offline-first math (`resources/commands/math/math.lua`):
- Was: always-LLM, hard fail without GROQ_TOKEN, inline PowerShell SAPI.
- Now: shunting-yard parser handles 95% of voice queries in <50ms — no
  network, no token. Russian operator words ("плюс", "умножить на",
  "в степени", "квадрат", ...) normalised to symbols first. Patterns
  for "корень из X" and "X процентов от Y". Falls back to LLM only on
  parse failure (word problems / equations / unit conversions).
- Drops inline PowerShell — speaks via jarvis.cmd.ok.
- 10-case shunting-yard kernel test added (basic ops, precedence,
  parens, unary minus, div-by-zero, garbage rejected).

DuckDuckGo Instant Answer (`resources/commands/ddg_answer/`):
- New pack — short factual Q&A without API key. Trigger phrases
  "что такое", "кто такой", "расскажи про", "what is", etc.
- Reads AbstractText → Answer → Definition → RelatedTopics[0] in order
  from DDG's free JSON API. Opens the search page only if nothing
  useful comes back.
- Sandbox full (needs http + system.open).

Tests: 128 → 139 (+11). Release build green.
2026-05-16 13:52:49 +03:00

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-- Polite acknowledgement when the user thanks Jarvis.
local lang = jarvis.context.language or "ru"
math.randomseed(os.time() + (jarvis.context.time.second or 0) * 13)
local ru = {
"Всегда к вашим услугам, сэр.",
"Не за что — это моя работа.",
"Рад быть полезным, сэр.",
"Пожалуйста. Если что — я тут.",
"К вашим услугам.",
"Пустяки, сэр. Дальше — ваш ход.",
"Благодарю за признание, сэр. Редкая роскошь.",
"Был рад помочь, сэр.",
"Пожалуйста. Это меньшее, что я могу.",
"Сэр, я бы покраснел, если бы мог.",
}
local en = {
"Always at your service, sir.",
"My pleasure, sir.",
"You are most welcome.",
"Happy to help, sir.",
"Think nothing of it.",
"At your service.",
"I do try, sir.",
"Anytime, sir.",
"Glad to be of use.",
"Quite alright, sir.",
}
local set = (lang == "en") and en or ru
local idx = math.random(1, #set)
return jarvis.cmd.ok(set[idx])