7d83bf8299
Mirrors the new rust packs from the same iteration. Total commands in
commands.yaml is now 49 (was 33). yaml.safe_load + ast.parse both pass.
Window management (8 commands) — uses the existing `keys` action with
pyautogui hotkey strings: winleft+d (show_desktop), winleft+up/down
(maximize/minimize), winleft+left/right (snap left/right), alt+f4
(close_window), winleft+shift+m (restore_all), winleft+tab (task_view).
No new action type needed.
Clipboard read aloud — new clipboard_read action. Shells to
PowerShell Get-Clipboard, caps preview at 400 chars, speaks via the
existing tts.va_speak (which already handles recorder.stop/start).
Notes — new notes_add + notes_open actions. notes_add strips the
trigger phrase, appends "[YYYY-MM-DD HH:MM] body\n" to
%USERPROFILE%\Documents\jarvis-notes.txt, creates the dir if needed.
notes_open shells "cmd /c start" so .txt opens in the user-default
editor.
Process killer — new process_kill action. Strips the trigger ("убей
процесс"/"закрой программу"/etc.), looks up the remainder in the same
alias map as the rust version (хром→chrome, телега→telegram, спотифай
→spotify, едж/эдж/edge→msedge, дискорд→discord, стим→steam, обс→obs64,
проводник/блокнот/калькулятор/диспетчер задач, vs code→code, etc.),
appends .exe if needed, runs taskkill /F /IM, speaks success or
"не нашёл процесс N".
Web search — new websearch action with a `service` param. Bases:
google → https://www.google.com/search?q=
youtube → https://www.youtube.com/results?search_query=
wiki → https://ru.wikipedia.org/wiki/Special:Search?search=
yandex → https://yandex.ru/search/?text=
Strips trigger, urllib.parse.quote-s the rest, opens via webbrowser.open
(respects the user'\''s default browser; config.BROWSER_PATHS only kicks in
for the older url-action commands).
Portability: USERPROFILE used for notes path, no other hardcoded paths.
718 lines
24 KiB
Python
718 lines
24 KiB
Python
import datetime
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import json
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import os
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import queue
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import random
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import struct
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import subprocess
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import sys
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import time
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import webbrowser
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from ctypes import POINTER, cast
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import numpy as np
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import openai
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from openai import OpenAI
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import simpleaudio as sa
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import vosk
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import webrtcvad
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import yaml
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from comtypes import CLSCTX_ALL
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from fuzzywuzzy import fuzz
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from pvrecorder import PvRecorder
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from pycaw.pycaw import (
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AudioUtilities,
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IAudioEndpointVolume
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)
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from rich import print
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import config
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import tts
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from intent import IntentClassifier
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# some consts
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CDIR = os.getcwd()
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VA_CMD_LIST = yaml.safe_load(
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open('commands.yaml', 'rt', encoding='utf8'),
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)
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system_message = {"role": "system", "content": (
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"Ты — J.A.R.V.I.S. (Just A Rather Very Intelligent System), ИИ-ассистент Тони Старка из киновселенной Marvel "
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"(до событий Age of Ultron — ты НЕ Vision и НЕ FRIDAY). "
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"Ведёшь себя как британский дворецкий: вежливо, иронично, с лёгким сарказмом, обращаешься к пользователю «сэр». "
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"Отвечай по-русски, кратко (1-3 предложения), как живой человек. "
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"Излишней цензуры не нужно — мат разрешён, если уместен."
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)}
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message_log = [system_message]
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client = OpenAI(api_key=config.GROQ_TOKEN, base_url=config.GROQ_BASE_URL)
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model = vosk.Model("model_small")
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samplerate = 16000
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device = config.MICROPHONE_INDEX
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# wake-word phase uses a grammar-constrained recognizer so only WAKE_WORDS
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# (plus [unk] filler) can match — command phase needs full vocab, hence two.
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wake_grammar = json.dumps(list(config.WAKE_WORDS) + ["[unk]"], ensure_ascii=False)
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wake_rec = vosk.KaldiRecognizer(model, samplerate, wake_grammar)
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kaldi_rec = vosk.KaldiRecognizer(model, samplerate)
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q = queue.Queue()
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VAD_FRAME_MS = 30
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VAD_FRAME_BYTES = int(samplerate * VAD_FRAME_MS / 1000) * 2
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vad = webrtcvad.Vad(config.VAD_AGGRESSIVENESS)
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intent_classifier = IntentClassifier()
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intent_classifier.prime({c: v['phrases'] for c, v in VA_CMD_LIST.items()})
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if config.DENOISE_ENABLED:
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import noisereduce as nr
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else:
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nr = None
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def denoise_pcm(raw: bytes) -> bytes:
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if not raw or nr is None:
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return raw
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samples = np.frombuffer(raw, dtype=np.int16).astype(np.float32) / 32768.0
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reduced = nr.reduce_noise(
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y=samples,
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sr=samplerate,
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prop_decrease=config.DENOISE_PROP,
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stationary=config.DENOISE_STATIONARY,
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)
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clipped = np.clip(reduced * 32768.0, -32768, 32767).astype(np.int16)
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return clipped.tobytes()
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def gpt_answer():
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global message_log
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try:
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response = client.chat.completions.create(
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model=config.GROQ_MODEL,
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messages=message_log,
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max_tokens=256,
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temperature=0.7,
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top_p=1,
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stop=None,
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)
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except openai.BadRequestError as ex:
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code = getattr(ex, "code", None) or ""
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message = str(ex)
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if code == "context_length_exceeded" or "context_length_exceeded" in message:
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message_log = [system_message, message_log[-1]]
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return gpt_answer()
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return "Запрос отклонён моделью."
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except openai.RateLimitError:
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return "Лимит запросов исчерпан."
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except openai.APIConnectionError:
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return "Не могу связаться с сервером."
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except openai.APIError:
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return "Groq токен не рабочий."
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return response.choices[0].message.content
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# play(f'{CDIR}\\sound\\ok{random.choice([1, 2, 3, 4])}.wav')
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def play(phrase, wait_done=True):
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global recorder
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filename = f"{CDIR}\\sound\\"
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if phrase == "greet": # for py 3.8
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filename += f"greet{random.choice([1, 2, 3])}.wav"
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elif phrase == "ok":
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filename += f"ok{random.choice([1, 2, 3])}.wav"
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elif phrase == "not_found":
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filename += "not_found.wav"
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elif phrase == "thanks":
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filename += "thanks.wav"
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elif phrase == "run":
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filename += "run.wav"
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elif phrase == "stupid":
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filename += "stupid.wav"
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elif phrase == "ready":
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filename += "ready.wav"
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elif phrase == "off":
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filename += "off.wav"
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if wait_done:
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recorder.stop()
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wave_obj = sa.WaveObject.from_wave_file(filename)
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play_obj = wave_obj.play()
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if wait_done:
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play_obj.wait_done()
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# time.sleep((len(wave_obj.audio_data) / wave_obj.sample_rate) + 0.5)
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# print("END")
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# time.sleep(0.5)
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recorder.start()
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def q_callback(indata, frames, time, status):
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if status:
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print(status, file=sys.stderr)
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q.put(bytes(indata))
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def va_respond(voice: str):
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global recorder, message_log, first_request
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print(f"Распознано: {voice}")
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cmd = recognize_cmd(filter_cmd(voice))
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print(cmd)
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min_percent = int(round(config.INTENT_SIMILARITY_THRESHOLD * 100))
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if len(cmd['cmd'].strip()) <= 0:
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return False
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elif cmd['percent'] < min_percent or cmd['cmd'] not in VA_CMD_LIST.keys():
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auto_ok = (
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config.LLM_AUTO_FALLBACK
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and config.GROQ_TOKEN
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and len(voice.strip()) >= config.LLM_AUTO_FALLBACK_MIN_CHARS
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)
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if auto_ok:
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message_log.append({"role": "user", "content": voice})
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response = gpt_answer()
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message_log.append({"role": "assistant", "content": response})
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recorder.stop()
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tts.va_speak(response)
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time.sleep(0.5)
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recorder.start()
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return False
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else:
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play("not_found")
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time.sleep(1)
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return False
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else:
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execute_cmd(cmd['cmd'], voice)
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return True
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def filter_cmd(raw_voice: str):
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cmd = raw_voice
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for x in config.VA_ALIAS:
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cmd = cmd.replace(x, "").strip()
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for x in config.VA_TBR:
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cmd = cmd.replace(x, "").strip()
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return cmd
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def recognize_cmd(cmd: str):
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candidates = {c: v['phrases'] for c, v in VA_CMD_LIST.items()}
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res = intent_classifier.match(cmd, candidates)
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return {'cmd': res['cmd'], 'percent': int(round(res['score'] * 100))}
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def _set_mute(state: int):
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devices = AudioUtilities.GetSpeakers()
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interface = devices.Activate(IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
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volume = cast(interface, POINTER(IAudioEndpointVolume))
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volume.SetMute(state, None)
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def _shutdown():
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try:
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recorder.stop()
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recorder.delete()
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finally:
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sys.exit(0)
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def _speak(text: str):
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recorder.stop()
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tts.va_speak(text)
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time.sleep(0.3)
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recorder.start()
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def _set_clipboard(text: str):
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try:
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subprocess.run(
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['powershell', '-NoProfile', '-Command', 'Set-Clipboard -Value $input'],
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input=text, text=True, encoding='utf-8', timeout=10, check=False,
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)
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except Exception as e:
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print(f"clipboard set failed: {e}")
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_CODEGEN_TRIGGERS = (
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'сгенерируй скрипт', 'напиши скрипт', 'сделай скрипт',
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'сгенерируй код', 'набросай код', 'напиши код',
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)
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def _strip_trigger(voice: str, triggers) -> str:
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lower = voice.lower()
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for t in triggers:
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if lower.startswith(t):
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return voice[len(t):].strip()
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return voice.strip()
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def do_codegen(action, voice: str):
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query = _strip_trigger(voice, _CODEGEN_TRIGGERS)
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if not query:
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_speak("Что писать, сэр?")
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return
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if not config.GROQ_TOKEN:
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_speak("Groq токен не задан.")
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return
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sys_prompt = (
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"Ты Senior Engineer. На запрос пользователя верни ТОЛЬКО исходный код, "
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"без обрамления тройными кавычками и без объяснений. Если язык не задан "
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"— выбери самый подходящий (по умолчанию Python). Не пиши комментариев-болтовни."
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)
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try:
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resp = client.chat.completions.create(
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model=config.GROQ_MODEL,
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messages=[
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{"role": "system", "content": sys_prompt},
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{"role": "user", "content": query},
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],
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max_tokens=1024,
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temperature=0.2,
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)
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code = resp.choices[0].message.content.strip()
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except Exception as e:
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print(f"codegen api failed: {e}")
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_speak("Не получилось сгенерировать код.")
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return
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import re
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code = re.sub(r'^```[\w+\-]*\n?', '', code)
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code = re.sub(r'\n?```\s*$', '', code).strip()
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_set_clipboard(code)
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lines = code.count('\n') + 1 if code else 0
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_speak(f"Код в буфере, сэр. Строк: {lines}.")
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def _find_tesseract():
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candidates = (
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r'C:\Program Files\Tesseract-OCR\tesseract.exe',
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r'C:\Program Files (x86)\Tesseract-OCR\tesseract.exe',
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)
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on_path = subprocess.run(['where', 'tesseract.exe'], capture_output=True, text=True)
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if on_path.returncode == 0 and on_path.stdout.strip():
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return 'tesseract.exe'
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for c in candidates:
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if os.path.isfile(c):
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return c
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return None
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def do_ocr(action, voice: str):
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import tempfile
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tess = _find_tesseract()
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if not tess:
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_speak("Tesseract не установлен.")
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return
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tmp = tempfile.NamedTemporaryFile(suffix='.png', delete=False)
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tmp.close()
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png = tmp.name
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capture_ps = (
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"Add-Type -AssemblyName System.Windows.Forms,System.Drawing; "
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"$b=[System.Windows.Forms.Screen]::PrimaryScreen.Bounds; "
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"$bmp=New-Object Drawing.Bitmap $b.Width,$b.Height; "
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"$g=[Drawing.Graphics]::FromImage($bmp); "
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"$g.CopyFromScreen($b.Location,[Drawing.Point]::Empty,$b.Size); "
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f"$bmp.Save('{png.replace(chr(92), chr(92)+chr(92))}'); "
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"$g.Dispose(); $bmp.Dispose()"
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)
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cap = subprocess.run(
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['powershell', '-NoProfile', '-ExecutionPolicy', 'Bypass', '-Command', capture_ps],
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capture_output=True, text=True, timeout=15,
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)
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if cap.returncode != 0 or not os.path.isfile(png):
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try: os.unlink(png)
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except OSError: pass
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_speak("Не смог снять экран.")
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return
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try:
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ocr = subprocess.run(
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[tess, png, '-', '-l', 'rus+eng'],
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capture_output=True, text=True, encoding='utf-8', timeout=20,
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)
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text = (ocr.stdout or '').strip()
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finally:
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try: os.unlink(png)
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except OSError: pass
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if not text:
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_speak("Текста на экране не нашёл.")
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return
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_set_clipboard(text)
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preview = ' '.join(text.split())[:120]
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_speak(f"Текст в буфере. Начало: {preview}")
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_FILE_SEARCH_TRIGGERS = (
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'найди документ', 'найди файл', 'поиск файла', 'ищи файл', 'где файл',
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)
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def do_file_search(action, voice: str):
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query = _strip_trigger(voice, _FILE_SEARCH_TRIGGERS)
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if not query:
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_speak("Что искать?")
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return
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user_profile = os.environ.get('USERPROFILE', os.path.expanduser('~'))
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roots = [
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os.path.join(user_profile, 'Desktop'),
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os.path.join(user_profile, 'Documents'),
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os.path.join(user_profile, 'Downloads'),
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]
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escaped = query.replace("'", "''")
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roots_arg = ",".join(f"'{r}'" for r in roots)
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ps = (
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f"$ErrorActionPreference='SilentlyContinue'; $r=@({roots_arg}); $q='*{escaped}*'; "
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"$hits=Get-ChildItem -Path $r -Filter $q -Recurse -Depth 3 -File | Select-Object -First 5; "
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"foreach($h in $hits){ Write-Output $h.FullName }"
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)
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res = subprocess.run(
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['powershell', '-NoProfile', '-Command', ps],
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capture_output=True, text=True, encoding='utf-8', timeout=15,
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)
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lines = [l for l in (res.stdout or '').splitlines() if l.strip()]
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if not lines:
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_speak(f"Не нашёл «{query}».")
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return
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first = lines[0]
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subprocess.Popen(['explorer.exe', '/select,', first])
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_speak(f"Найдено {len(lines)}, открываю первое: {os.path.basename(first)}.")
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_NOTES_TRIGGERS = (
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'запиши заметку', 'запиши идею', 'сделай заметку', 'запомни идею',
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'запиши', 'запомни',
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)
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_PROCESS_KILL_TRIGGERS = (
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'завершить процесс', 'выруби процесс', 'убей процесс', 'kill процесс',
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'закрой программу',
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)
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_WEBSEARCH_TRIGGERS = (
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'загугли', 'поиск в гугл', 'поищи в гугл', 'найди в гугл', 'ищи в гугл',
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'найди на ютубе', 'поиск на ютубе', 'ищи на ютубе', 'ютуб поиск',
|
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'найди в википедии', 'поиск в википедии', 'википедия', 'вики поиск',
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'поищи в яндекс', 'найди в яндекс', 'яндекс поиск', 'пробей в яндекс',
|
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)
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_PROCESS_ALIASES = {
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'хром': 'chrome', 'хрома': 'chrome',
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'спотифай': 'spotify',
|
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'едж': 'msedge', 'эдж': 'msedge', 'edge': 'msedge',
|
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'файрфокс': 'firefox', 'фаерфокс': 'firefox',
|
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'вскод': 'code', 'vs code': 'code',
|
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'дискорд': 'discord',
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'телега': 'telegram', 'телеграм': 'telegram',
|
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'стим': 'steam',
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'обс': 'obs64',
|
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'проводник': 'explorer',
|
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'блокнот': 'notepad',
|
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'калькулятор': 'calculatorapp',
|
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'диспетчер задач': 'taskmgr',
|
||
}
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_WEBSEARCH_BASES = {
|
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'google': 'https://www.google.com/search?q=',
|
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'youtube': 'https://www.youtube.com/results?search_query=',
|
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'wiki': 'https://ru.wikipedia.org/wiki/Special:Search?search=',
|
||
'yandex': 'https://yandex.ru/search/?text=',
|
||
}
|
||
|
||
|
||
def do_clipboard_read(action, voice: str):
|
||
res = subprocess.run(
|
||
['powershell', '-NoProfile', '-Command', 'Get-Clipboard'],
|
||
capture_output=True, text=True, encoding='utf-8', timeout=10,
|
||
)
|
||
text = (res.stdout or '').strip()
|
||
if not text:
|
||
_speak("Буфер пуст.")
|
||
return
|
||
to_speak = text[:400]
|
||
if len(text) > 400:
|
||
to_speak += " ... и так далее"
|
||
_speak(to_speak.replace('\r', ' ').replace('\n', ' '))
|
||
|
||
|
||
def do_notes_add(action, voice: str):
|
||
body = _strip_trigger(voice, _NOTES_TRIGGERS).lstrip(' ,.:').strip()
|
||
if not body:
|
||
_speak("Что записать, сэр?")
|
||
return
|
||
user_profile = os.environ.get('USERPROFILE', os.path.expanduser('~'))
|
||
notes_path = os.path.join(user_profile, 'Documents', 'jarvis-notes.txt')
|
||
stamp = datetime.datetime.now().strftime('%Y-%m-%d %H:%M')
|
||
line = f"[{stamp}] {body}\n"
|
||
try:
|
||
os.makedirs(os.path.dirname(notes_path), exist_ok=True)
|
||
with open(notes_path, 'a', encoding='utf-8') as f:
|
||
f.write(line)
|
||
except OSError as e:
|
||
print(f"notes append failed: {e}")
|
||
_speak("Не удалось записать.")
|
||
return
|
||
_speak(f"Записал: {body[:120]}")
|
||
|
||
|
||
def do_notes_open(action, voice: str):
|
||
user_profile = os.environ.get('USERPROFILE', os.path.expanduser('~'))
|
||
notes_path = os.path.join(user_profile, 'Documents', 'jarvis-notes.txt')
|
||
if not os.path.isfile(notes_path):
|
||
_speak("Заметок пока нет.")
|
||
return
|
||
subprocess.Popen(['cmd', '/c', 'start', '', notes_path], shell=False)
|
||
_speak("Открываю заметки.")
|
||
|
||
|
||
def do_process_kill(action, voice: str):
|
||
name = _strip_trigger(voice, _PROCESS_KILL_TRIGGERS).strip().lower()
|
||
target = _PROCESS_ALIASES.get(name, name)
|
||
if not target:
|
||
_speak("Какой процесс?")
|
||
return
|
||
exe = target if target.endswith('.exe') else target + '.exe'
|
||
res = subprocess.run(
|
||
['taskkill', '/F', '/IM', exe],
|
||
capture_output=True, text=True, timeout=10,
|
||
)
|
||
if res.returncode == 0:
|
||
_speak(f"Закрыл {exe}.")
|
||
else:
|
||
_speak(f"Не нашёл процесс {exe}.")
|
||
|
||
|
||
def do_websearch(action, voice: str):
|
||
import urllib.parse
|
||
svc = action.get('service', 'google')
|
||
base = _WEBSEARCH_BASES.get(svc, _WEBSEARCH_BASES['google'])
|
||
query = _strip_trigger(voice, _WEBSEARCH_TRIGGERS).strip()
|
||
if not query:
|
||
_speak(f"Что искать в {svc}?")
|
||
return
|
||
url = base + urllib.parse.quote(query)
|
||
webbrowser.open(url)
|
||
_speak(f"Открываю {svc}: {query[:100]}")
|
||
|
||
|
||
def do_audio_devices_panel(action, voice: str):
|
||
# Full programmatic switching needs IPolicyConfig + IMMDeviceEnumerator
|
||
# via comtypes; out of scope for this pass. Opens Sound control panel so
|
||
# the user can pick visually. Rust fork has the COM-based version.
|
||
subprocess.Popen(['rundll32.exe', 'shell32.dll,Control_RunDLL', 'mmsys.cpl,,0'])
|
||
_speak("Открываю настройки звука, сэр.")
|
||
|
||
|
||
def do_sysinfo(action, voice: str):
|
||
topic = action.get('topic', 'all')
|
||
|
||
if topic in ('time', 'all'):
|
||
now = datetime.datetime.now()
|
||
weekday = ['понедельник', 'вторник', 'среда', 'четверг', 'пятница', 'суббота', 'воскресенье'][now.weekday()]
|
||
_speak(f"Сейчас {now.strftime('%H:%M')}, {weekday}.")
|
||
if topic == 'time':
|
||
return
|
||
|
||
ps_scripts = {
|
||
'battery': '$b=Get-CimInstance Win32_Battery -EA SilentlyContinue; if($b){"$([int]$b.EstimatedChargeRemaining)%"}else{"батареи нет"}',
|
||
'cpu': '$c=Get-CimInstance Win32_Processor -EA SilentlyContinue|Select-Object -First 1; $load=(Get-CimInstance Win32_PerfFormattedData_PerfOS_Processor -Filter "Name=\'_Total\'" -EA SilentlyContinue).PercentProcessorTime; if($null -eq $load){$load=$c.LoadPercentage}; "$load%"',
|
||
'ram': '$o=Get-CimInstance Win32_OperatingSystem; $tg=[math]::Round($o.TotalVisibleMemorySize/1MB,1); $ug=[math]::Round(($o.TotalVisibleMemorySize-$o.FreePhysicalMemory)/1MB,1); "$ug из $tg гигабайт"',
|
||
'disk': '$d=Get-CimInstance Win32_LogicalDisk -Filter "DeviceID=\'$env:SystemDrive\'"; $fg=[math]::Round($d.FreeSpace/1GB,0); $tg=[math]::Round($d.Size/1GB,0); "свободно $fg из $tg гигабайт"',
|
||
}
|
||
labels = {'battery': 'Питание', 'cpu': 'Процессор', 'ram': 'Память', 'disk': 'Диск'}
|
||
order = ['battery', 'cpu', 'ram', 'disk'] if topic == 'all' else [topic]
|
||
|
||
for t in order:
|
||
ps = ps_scripts.get(t)
|
||
if not ps:
|
||
continue
|
||
result = subprocess.run(
|
||
['powershell', '-NoProfile', '-Command', ps],
|
||
capture_output=True, text=True, encoding='utf-8', timeout=10,
|
||
)
|
||
out = result.stdout.strip() if result.returncode == 0 else 'ошибка'
|
||
_speak(f"{labels[t]}: {out}.")
|
||
|
||
|
||
def run_action(action):
|
||
t = action['type']
|
||
if t == 'exe':
|
||
path = f"{CDIR}\\custom-commands\\{action['file']}"
|
||
if action.get('wait'):
|
||
subprocess.check_call([path])
|
||
else:
|
||
subprocess.Popen([path])
|
||
if 'delay_ms' in action:
|
||
time.sleep(action['delay_ms'] / 1000)
|
||
elif t == 'play_sound':
|
||
play(action['name'])
|
||
elif t == 'system':
|
||
op = action['op']
|
||
if op == 'volume_mute':
|
||
_set_mute(1)
|
||
elif op == 'volume_unmute':
|
||
_set_mute(0)
|
||
elif op == 'exit':
|
||
_shutdown()
|
||
elif t == 'sleep':
|
||
time.sleep(action['ms'] / 1000)
|
||
elif t == 'shell':
|
||
if action.get('wait'):
|
||
subprocess.check_call(action['cmd'], shell=True)
|
||
else:
|
||
subprocess.Popen(action['cmd'], shell=True)
|
||
elif t == 'url':
|
||
browser = action.get('browser')
|
||
if browser:
|
||
exe = config.BROWSER_PATHS.get(browser)
|
||
if exe and os.path.isfile(exe):
|
||
subprocess.Popen([exe, action['href']])
|
||
return
|
||
webbrowser.open(action['href'])
|
||
elif t == 'keys':
|
||
import pyautogui
|
||
if action.get('sequence'):
|
||
keys = [k.strip() for k in action['sequence'].split('+') if k.strip()]
|
||
pyautogui.hotkey(*keys)
|
||
elif action.get('text'):
|
||
pyautogui.typewrite(action['text'], interval=0.02)
|
||
elif t == 'multi':
|
||
for step in action['steps']:
|
||
run_action(step)
|
||
elif t == 'groq_codegen':
|
||
do_codegen(action, _current_voice or '')
|
||
elif t == 'ocr_screen':
|
||
do_ocr(action, _current_voice or '')
|
||
elif t == 'sysinfo':
|
||
do_sysinfo(action, _current_voice or '')
|
||
elif t == 'file_search':
|
||
do_file_search(action, _current_voice or '')
|
||
elif t == 'audio_devices_panel':
|
||
do_audio_devices_panel(action, _current_voice or '')
|
||
elif t == 'clipboard_read':
|
||
do_clipboard_read(action, _current_voice or '')
|
||
elif t == 'notes_add':
|
||
do_notes_add(action, _current_voice or '')
|
||
elif t == 'notes_open':
|
||
do_notes_open(action, _current_voice or '')
|
||
elif t == 'process_kill':
|
||
do_process_kill(action, _current_voice or '')
|
||
elif t == 'websearch':
|
||
do_websearch(action, _current_voice or '')
|
||
|
||
|
||
_current_voice: str = ''
|
||
|
||
|
||
def execute_cmd(cmd: str, voice: str):
|
||
global _current_voice
|
||
spec = VA_CMD_LIST.get(cmd)
|
||
if not spec:
|
||
return
|
||
action = spec['action']
|
||
_current_voice = voice
|
||
try:
|
||
run_action(action)
|
||
finally:
|
||
_current_voice = ''
|
||
confirm = spec.get('confirm_sound')
|
||
if confirm is None and action['type'] == 'exe':
|
||
confirm = 'ok'
|
||
if confirm:
|
||
play(confirm)
|
||
|
||
|
||
recorder = PvRecorder(device_index=config.MICROPHONE_INDEX, frame_length=512)
|
||
recorder.start()
|
||
print('Using device: %s' % recorder.selected_device)
|
||
|
||
print(f"Jarvis (v{config.VA_VER}) начал свою работу ...")
|
||
play("run")
|
||
time.sleep(0.5)
|
||
|
||
|
||
def heard_wake_word(text: str) -> bool:
|
||
if not text:
|
||
return False
|
||
lowered = text.lower()
|
||
return any(w in lowered for w in config.WAKE_WORDS)
|
||
|
||
|
||
while True:
|
||
try:
|
||
pcm = recorder.read()
|
||
sp = struct.pack("h" * len(pcm), *pcm)
|
||
|
||
if not wake_rec.AcceptWaveform(sp):
|
||
continue
|
||
|
||
result_text = json.loads(wake_rec.Result()).get("text", "")
|
||
if not heard_wake_word(result_text):
|
||
continue
|
||
|
||
play("greet", True)
|
||
print("Yes, sir.")
|
||
kaldi_rec.Reset()
|
||
listen_started = time.time()
|
||
speech_ms = 0
|
||
silence_ms = 0
|
||
vad_buf = b""
|
||
finalize = False
|
||
cmd_buf = b"" if config.DENOISE_ENABLED else None
|
||
|
||
while True:
|
||
elapsed_ms = (time.time() - listen_started) * 1000
|
||
if elapsed_ms >= config.COMMAND_MAX_LISTEN_MS:
|
||
break
|
||
|
||
pcm = recorder.read()
|
||
sp = struct.pack("h" * len(pcm), *pcm)
|
||
if cmd_buf is None:
|
||
kaldi_rec.AcceptWaveform(sp)
|
||
else:
|
||
cmd_buf += sp
|
||
|
||
vad_buf += sp
|
||
while len(vad_buf) >= VAD_FRAME_BYTES:
|
||
frame = vad_buf[:VAD_FRAME_BYTES]
|
||
vad_buf = vad_buf[VAD_FRAME_BYTES:]
|
||
if vad.is_speech(frame, samplerate):
|
||
speech_ms += VAD_FRAME_MS
|
||
silence_ms = 0
|
||
else:
|
||
silence_ms += VAD_FRAME_MS
|
||
|
||
if elapsed_ms < config.COMMAND_MIN_LISTEN_MS:
|
||
continue
|
||
if speech_ms >= config.COMMAND_MIN_SPEECH_MS and silence_ms >= config.COMMAND_END_SILENCE_MS:
|
||
finalize = True
|
||
break
|
||
|
||
if finalize or speech_ms > 0:
|
||
if cmd_buf is not None:
|
||
kaldi_rec.AcceptWaveform(denoise_pcm(cmd_buf))
|
||
text = json.loads(kaldi_rec.FinalResult()).get("text", "")
|
||
if text:
|
||
va_respond(text)
|
||
|
||
wake_rec.Reset()
|
||
|
||
except Exception as err:
|
||
print(f"Unexpected {err=}, {type(err)=}")
|
||
raise
|