b243e67870
GUI integration
- crates/jarvis-gui/src/tauri_commands/backends.rs — 5 new Tauri commands:
get_active_backends() -> {tts, llm, llm_model, profile}
set_llm_backend(name) -> swap LLM hot, persists to DB
set_tts_backend(name) -> persist choice (effective on jarvis-app restart)
llm_reset_context() -> clear conversation history
llm_get_last_reply() -> last assistant message or null
- Registered in main.rs invoke_handler. Svelte side can now read active
backend + swap from a settings page / footer without env-var gymnastics.
Wikipedia pack rewritten (resources/commands/wikipedia/)
- Old `wiki/wiki.lua` (104 lines, hand-rolled Groq HTTP + inline SAPI PS) deleted.
- Replacement `wikipedia/summary.lua` (87 lines):
* REST summary endpoint (cleaner than opensearch+summary chain).
* Russian first, English fallback with LLM translation.
* Pure LLM fallback if Wikipedia has no article.
* Uses jarvis.cmd.{ok,error,not_found} + jarvis.llm + jarvis.speak (no
inline PowerShell SAPI). Phrases kept compatible with old pack.
GitHub PR voice review (resources/commands/github_pr/, 3 commands)
- "текущий репо bossiara13/J.A.R.V.I.S-rust" → github.set_repo
Persists repo via jarvis.memory.
- "какие пиары" / "открытые пиары" → github.list_prs
Calls `gh pr list --json number,title,author,createdAt --limit 10`.
Parses count + first 3 titles by regex from JSON.
- "разбери последний пиар" / "что в pr" → github.summarize_pr
`gh pr view N --json title,body,additions,deletions,changedFiles,author`,
sends to LLM with "senior reviewer" system prompt, speaks 3-5 sentence
review focusing on changes, risks, merge-readiness.
- Requires gh CLI installed and `gh auth login` done.
Tests: 52/52 jarvis-core unit tests pass (Wikipedia pack TOML/script auto-checked).
Build: cargo build --release -p jarvis-app -p jarvis-gui green.
105 lines
3.6 KiB
Lua
105 lines
3.6 KiB
Lua
-- "Википедия Эйнштейн" → fetch ru.wikipedia.org/api/rest_v1/page/summary/<topic>
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-- Falls back to LLM if Wikipedia doesn't have the article.
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local phrase = (jarvis.context.phrase or "")
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local query = jarvis.text.strip_trigger(phrase:lower(), {
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"найди в википедии про",
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"найди в википедии",
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"что говорит википедия",
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"поищи в википедии",
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"статья из википедии",
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"википедия про",
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"википедия о",
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"википедия",
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"расскажи про",
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"что такое",
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"кто такая",
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"кто такой",
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"look up in wikipedia",
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"wikipedia article on",
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"wikipedia about",
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"wikipedia",
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"tell me about",
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"what is",
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"who is",
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"знайди у вікіпедії",
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"вікіпедія",
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"що таке",
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"хто такий",
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"розкажи про",
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})
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query = query:gsub("^[%s,:%.]+", ""):gsub("%s+$", "")
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if query == "" then
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return jarvis.cmd.error("Какая статья?")
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end
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-- Wikipedia title needs underscores for spaces. Capitalize first letter of each word
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-- to match canonical titles (good enough heuristic).
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local title = query:gsub("(%S+)", function(w)
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-- Capitalize first byte (works for ASCII; for cyrillic, leave alone).
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local first = w:sub(1, 1)
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if first:match("[%a]") then
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return first:upper() .. w:sub(2)
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end
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return w
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end):gsub(" ", "_")
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local function urlencode(s)
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return (s:gsub("[^A-Za-z0-9%-_%.~]", function(c)
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return string.format("%%%02X", string.byte(c))
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end))
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end
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-- Try Russian first, fall back to English.
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local lang_chain = { "ru", "en" }
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local data, source_lang
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for _, lang in ipairs(lang_chain) do
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local url = string.format("https://%s.wikipedia.org/api/rest_v1/page/summary/%s",
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lang, urlencode(title))
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local d = jarvis.http.json(url)
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if d and d.extract and d.extract ~= "" then
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data = d
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source_lang = lang
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break
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end
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end
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if not data then
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-- last resort: ask LLM directly
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local llm_answer = jarvis.llm({
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{ role = "system", content = "Кратко (2-3 предложения) на русском объясни тему. Если не знаешь — скажи." },
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{ role = "user", content = "Расскажи про: " .. query }
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}, { max_tokens = 200, temperature = 0.3 })
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if llm_answer and llm_answer ~= "" then
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return jarvis.cmd.ok(llm_answer)
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end
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return jarvis.cmd.not_found("В Википедии нет статьи про " .. query .. ".")
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end
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local extract = data.extract
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local title_actual = data.title or query
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-- Truncate extract to ~3 sentences for spoken output
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local sentences = {}
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for sentence in extract:gmatch("[^%.%!%?]+[%.%!%?]") do
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table.insert(sentences, sentence)
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if #sentences >= 3 then break end
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end
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local spoken = #sentences > 0 and table.concat(sentences) or extract:sub(1, 400)
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if source_lang == "en" then
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-- Translate English extract to Russian via LLM (no point in speaking English
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-- through a Russian voice).
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local translated = jarvis.llm({
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{ role = "system", content = "Переведи английский текст на русский, без вводных и комментариев." },
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{ role = "user", content = spoken }
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}, { max_tokens = 300, temperature = 0.0 })
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if translated and translated ~= "" then
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spoken = translated
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end
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end
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jarvis.system.notify("Wikipedia: " .. title_actual, spoken:sub(1, 200))
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return jarvis.cmd.ok(spoken)
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