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.
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38
resources/commands/personality/how_are_you.lua
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resources/commands/personality/how_are_you.lua
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@ -0,0 +1,38 @@
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-- Reply to "как дела". Some replies splice live system state for flavour.
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local lang = jarvis.context.language or "ru"
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math.randomseed(os.time() + (jarvis.context.time.second or 0) * 23)
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local h = jarvis.health() or {}
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local memos = jarvis.memory.all() or {}
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local fact_count = #memos
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local model = h.model or h.llm_model or "—"
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local profile = h.profile or "default"
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local ru = {
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"Все системы в норме, сэр. В памяти " .. fact_count .. " фактов.",
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"Отлично, сэр. Готов к работе.",
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"Жалоб нет, сэр. Цикл стабильный.",
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"Всё штатно. Текущий профиль — " .. profile .. ".",
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"Спасибо, сэр, я в порядке. Скучнее, чем хотелось бы, но в порядке.",
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"Нормально, сэр. Хотя если бы я умел уставать — это был бы тот самый день.",
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"Системы в строю. Модель — " .. model .. ".",
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"Бодр и собран, сэр. Жду команд.",
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"Сэр, у меня нет дел в человеческом смысле. Но я готов.",
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}
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local en = {
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"All systems nominal, sir. " .. fact_count .. " facts in memory.",
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"Quite well, sir. Ready when you are.",
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"No complaints to report, sir.",
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"Operating normally. Active profile: " .. profile .. ".",
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"I am well, sir. Thank you for asking.",
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"Functioning as intended, sir. Which is more than most days warrant.",
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"Healthy. Model in use: " .. model .. ".",
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"Awake and attentive, sir.",
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"Sir, I do not have days as such. But I am ready.",
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}
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local set = (lang == "en") and en or ru
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local idx = math.random(1, #set)
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return jarvis.cmd.ok(set[idx])
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