442 lines
14 KiB
Python
442 lines
14 KiB
Python
from __future__ import annotations
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import asyncio
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import base64
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import io
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import json
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import re
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import sys
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import threading
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import time
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from pathlib import Path
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from typing import Optional
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import numpy as np
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import sounddevice as sd
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try:
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import cv2
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_CV2 = True
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except ImportError:
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_CV2 = False
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try:
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import mss
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import mss.tools
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_MSS = True
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except ImportError:
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_MSS = False
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try:
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import PIL.Image
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_PIL = True
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except ImportError:
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_PIL = False
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from google import genai
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from google.genai import types as gtypes
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def _base_dir() -> Path:
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if getattr(sys, "frozen", False):
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return Path(sys.executable).parent
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return Path(__file__).resolve().parent.parent
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_BASE = _base_dir()
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_CONFIG_PATH = _BASE / "config" / "api_keys.json"
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def _load_config() -> dict:
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try:
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return json.loads(_CONFIG_PATH.read_text(encoding="utf-8"))
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except Exception:
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return {}
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def _save_config_key(key: str, value) -> None:
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try:
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cfg = _load_config()
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cfg[key] = value
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_CONFIG_PATH.write_text(json.dumps(cfg, indent=4), encoding="utf-8")
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except Exception as e:
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print(f"[Vision] ⚠️ Could not save config key '{key}': {e}")
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def _get_api_key() -> str:
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key = _load_config().get("gemini_api_key", "")
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if not key:
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raise RuntimeError("gemini_api_key not found in config.")
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return key
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def _get_os() -> str:
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return _load_config().get("os_system", "windows").lower()
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_LIVE_MODEL = "models/gemini-2.5-flash-native-audio-preview-12-2025"
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_CHANNELS = 1
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_RECEIVE_SAMPLE_RATE = 24_000
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_CHUNK_SIZE = 1_024
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_IMG_MAX_W = 640
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_IMG_MAX_H = 360
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_JPEG_Q = 60
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_SYSTEM_PROMPT = (
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"You are JARVIS, an advanced AI assistant. "
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"Analyze the provided image with precision and intelligence. "
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"Be concise and direct — maximum two sentences unless the user's question "
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"requires more detail. "
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"Address the user respectfully. "
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"Always call the appropriate tool; never simulate results."
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)
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def _compress(img_bytes: bytes, source_format: str = "PNG") -> tuple[bytes, str]:
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if not _PIL:
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return img_bytes, f"image/{source_format.lower()}"
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try:
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img = PIL.Image.open(io.BytesIO(img_bytes)).convert("RGB")
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img.thumbnail((_IMG_MAX_W, _IMG_MAX_H), PIL.Image.BILINEAR)
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buf = io.BytesIO()
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img.save(buf, format="JPEG", quality=_JPEG_Q, optimize=False)
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return buf.getvalue(), "image/jpeg"
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except Exception as e:
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print(f"[Vision] ⚠️ Image compress failed: {e}")
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return img_bytes, f"image/{source_format.lower()}"
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def _capture_screen() -> tuple[bytes, str]:
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if not _MSS:
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raise RuntimeError("mss is not installed. Run: pip install mss")
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with mss.mss() as sct:
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monitors = sct.monitors # [0] = all combined, [1..n] = real screens
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target = monitors[1] if len(monitors) > 1 else monitors[0]
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shot = sct.grab(target)
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png = mss.tools.to_png(shot.rgb, shot.size)
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return _compress(png, "PNG")
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def _cv2_backend() -> int:
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"""Return the best OpenCV camera backend for the current OS."""
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if not _CV2:
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return 0
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os_name = _get_os()
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if os_name == "windows":
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return cv2.CAP_DSHOW
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if os_name == "mac":
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return cv2.CAP_AVFOUNDATION
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return cv2.CAP_ANY
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def _probe_camera(index: int, backend: int, warmup: int = 5) -> bool:
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if not _CV2:
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return False
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cap = cv2.VideoCapture(index, backend)
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if not cap.isOpened():
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cap.release()
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return False
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for _ in range(warmup):
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cap.read()
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ret, frame = cap.read()
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cap.release()
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if not ret or frame is None:
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return False
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return bool(np.mean(frame) > 8)
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def _detect_camera_index() -> int:
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backend = _cv2_backend()
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print("[Vision] 🔍 Auto-detecting camera...")
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for idx in range(6):
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if _probe_camera(idx, backend):
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print(f"[Vision] ✅ Camera found at index {idx}")
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_save_config_key("camera_index", idx)
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return idx
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print(f"[Vision] ⚠️ Camera index {idx}: no usable frame")
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print("[Vision] ⚠️ No camera found — defaulting to index 0")
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_save_config_key("camera_index", 0)
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return 0
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def _get_camera_index() -> int:
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cfg = _load_config()
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if "camera_index" in cfg:
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return int(cfg["camera_index"])
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return _detect_camera_index()
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def _capture_camera() -> tuple[bytes, str]:
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if not _CV2:
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raise RuntimeError("OpenCV (cv2) is not installed. Run: pip install opencv-python")
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index = _get_camera_index()
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backend = _cv2_backend()
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cap = cv2.VideoCapture(index, backend)
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if not cap.isOpened():
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raise RuntimeError(f"Camera index {index} could not be opened.")
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for _ in range(10):
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cap.read()
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ret, frame = cap.read()
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cap.release()
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if not ret or frame is None:
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raise RuntimeError("Camera returned no frame.")
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if _PIL:
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rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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img = PIL.Image.fromarray(rgb)
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img.thumbnail((_IMG_MAX_W, _IMG_MAX_H), PIL.Image.BILINEAR)
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buf = io.BytesIO()
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img.save(buf, format="JPEG", quality=_JPEG_Q)
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return buf.getvalue(), "image/jpeg"
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_, buf = cv2.imencode(".jpg", frame, [cv2.IMWRITE_JPEG_QUALITY, _JPEG_Q])
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return buf.tobytes(), "image/jpeg"
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class _VisionSession:
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def __init__(self):
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self._loop: Optional[asyncio.AbstractEventLoop] = None
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self._thread: Optional[threading.Thread] = None
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self._session = None
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self._out_queue: Optional[asyncio.Queue] = None
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self._audio_in: Optional[asyncio.Queue] = None
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self._ready_evt: threading.Event = threading.Event()
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self._player = None
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self._lock: threading.Lock = threading.Lock()
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def start(self, player=None, timeout: float = 25.0) -> None:
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with self._lock:
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if self._thread and self._thread.is_alive():
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if player is not None:
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self._player = player
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return
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self._player = player
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self._thread = threading.Thread(
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target=self._run_event_loop,
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daemon=True,
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name="VisionSessionThread",
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)
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self._thread.start()
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if not self._ready_evt.wait(timeout=timeout):
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raise RuntimeError(f"Vision session did not connect within {timeout}s.")
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print("[Vision] ✅ Session ready")
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def analyze(self, image_bytes: bytes, mime_type: str, user_text: str) -> None:
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if not self._loop or not self._out_queue:
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print("[Vision] ⚠️ Session not started — dropping request")
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return
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asyncio.run_coroutine_threadsafe(
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self._out_queue.put((image_bytes, mime_type, user_text)),
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self._loop,
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)
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def is_ready(self) -> bool:
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return self._session is not None
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def _run_event_loop(self) -> None:
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self._loop = asyncio.new_event_loop()
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asyncio.set_event_loop(self._loop)
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self._loop.run_until_complete(self._session_loop())
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async def _session_loop(self) -> None:
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self._out_queue = asyncio.Queue(maxsize=30)
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self._audio_in = asyncio.Queue()
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client = genai.Client(
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api_key=_get_api_key(),
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http_options={"api_version": "v1beta"},
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)
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config = gtypes.LiveConnectConfig(
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response_modalities=["AUDIO"],
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output_audio_transcription={},
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system_instruction=_SYSTEM_PROMPT,
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speech_config=gtypes.SpeechConfig(
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voice_config=gtypes.VoiceConfig(
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prebuilt_voice_config=gtypes.PrebuiltVoiceConfig(
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voice_name="Charon"
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)
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)
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),
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)
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backoff = 2.0
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while True:
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try:
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print("[Vision] 🔌 Connecting...")
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async with client.aio.live.connect(
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model=_LIVE_MODEL, config=config
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) as session:
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self._session = session
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self._ready_evt.set()
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backoff = 2.0
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print("[Vision] ✅ Connected")
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async with asyncio.TaskGroup() as tg:
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tg.create_task(self._send_loop())
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tg.create_task(self._recv_loop())
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tg.create_task(self._play_loop())
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except* Exception as eg:
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for exc in eg.exceptions:
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print(f"[Vision] ⚠️ Session error: {exc}")
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finally:
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self._session = None
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self._ready_evt.clear()
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print(f"[Vision] 🔄 Reconnecting in {backoff:.0f}s...")
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await asyncio.sleep(backoff)
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backoff = min(backoff * 1.5, 30.0)
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self._ready_evt.set()
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async def _send_loop(self) -> None:
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while True:
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image_bytes, mime_type, user_text = await self._out_queue.get()
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if not self._session:
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print("[Vision] ⚠️ No session — dropping image")
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continue
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try:
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b64 = base64.b64encode(image_bytes).decode("ascii")
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await self._session.send_client_content(
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turns={
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"parts": [
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{"inline_data": {"mime_type": mime_type, "data": b64}},
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{"text": user_text},
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]
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},
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turn_complete=True,
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)
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print(f"[Vision] 📤 Sent {len(image_bytes):,} bytes — '{user_text[:60]}'")
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except Exception as e:
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print(f"[Vision] ⚠️ Send error: {e}")
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async def _recv_loop(self) -> None:
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transcript: list[str] = []
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try:
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async for response in self._session.receive():
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if response.data:
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await self._audio_in.put(response.data)
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sc = response.server_content
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if not sc:
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continue
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if sc.output_transcription and sc.output_transcription.text:
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chunk = sc.output_transcription.text.strip()
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if chunk:
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transcript.append(chunk)
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if sc.turn_complete:
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if transcript and self._player:
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full = re.sub(r"\s+", " ", " ".join(transcript)).strip()
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if full:
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self._player.write_log(f"Jarvis: {full}")
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print(f"[Vision] 💬 {full}")
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transcript = []
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except Exception as e:
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print(f"[Vision] ⚠️ Recv error: {e}")
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raise
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async def _play_loop(self) -> None:
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stream = sd.RawOutputStream(
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samplerate=_RECEIVE_SAMPLE_RATE,
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channels=_CHANNELS,
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dtype="int16",
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blocksize=_CHUNK_SIZE,
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)
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stream.start()
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try:
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while True:
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chunk = await self._audio_in.get()
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await asyncio.to_thread(stream.write, chunk)
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except Exception as e:
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print(f"[Vision] ❌ Play error: {e}")
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raise
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finally:
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stream.stop()
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stream.close()
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_session = _VisionSession()
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_session_lock = threading.Lock()
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_session_up = False
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def _ensure_session(player=None) -> None:
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global _session_up
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with _session_lock:
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if not _session_up:
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_session.start(player=player)
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_session_up = True
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elif player is not None:
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_session._player = player
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def screen_process(
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parameters: dict,
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response=None,
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player=None,
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session_memory=None,
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) -> bool:
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params = parameters or {}
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user_text = (params.get("text") or params.get("user_text") or "").strip()
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angle = params.get("angle", "screen").lower().strip()
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if not user_text:
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print("[Vision] ⚠️ No question provided — aborting")
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return False
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print(f"[Vision] ▶ angle={angle!r} question='{user_text[:80]}'")
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try:
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_ensure_session(player=player)
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except Exception as e:
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print(f"[Vision] ❌ Could not start session: {e}")
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return False
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try:
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if angle == "camera":
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image_bytes, mime_type = _capture_camera()
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print(f"[Vision] 📷 Camera: {len(image_bytes):,} bytes")
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else:
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image_bytes, mime_type = _capture_screen()
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print(f"[Vision] 🖥️ Screen: {len(image_bytes):,} bytes")
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except Exception as e:
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print(f"[Vision] ❌ Capture error: {e}")
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return False
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_session.analyze(image_bytes, mime_type, user_text)
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return True
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def warmup_session(player=None) -> None:
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try:
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_ensure_session(player=player)
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except Exception as e:
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print(f"[Vision] ⚠️ Warmup failed: {e}")
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if __name__ == "__main__":
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print("[TEST] screen_processor.py")
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print("=" * 52)
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mode = input("angle — screen / camera (default: screen): ").strip().lower() or "screen"
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q = input("Question (Enter = default): ").strip() or "What do you see? Be brief."
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t0 = time.perf_counter()
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warmup_session()
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print(f"Session ready in {time.perf_counter()-t0:.2f}s\n")
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t1 = time.perf_counter()
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ok = screen_process({"angle": mode, "text": q})
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print(f"Queued in {time.perf_counter()-t1:.3f}s — waiting for audio...")
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time.sleep(10)
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print("Done." if ok else "Failed.") |