404 lines
14 KiB
Python
404 lines
14 KiB
Python
"""
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actions/screen_processor.py — Gemini Live API — IMAGE-ONLY SESSION v8
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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v8 Changes:
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- Auto camera detection on first use — saves to config
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- No hardcoded camera index
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- mic_loop removed (no double response issue)
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- Image-only session, no conflict with main.py
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"""
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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 os
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import sys
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import time
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import threading
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import cv2
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import mss
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import mss.tools
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import pyaudio
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from pathlib import Path
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try:
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import PIL.Image
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_PIL_OK = True
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except ImportError:
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_PIL_OK = False
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from google import genai
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from google.genai import types
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def get_base_dir():
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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_DIR = get_base_dir()
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API_CONFIG_PATH = BASE_DIR / "config" / "api_keys.json"
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LIVE_MODEL = "models/gemini-2.5-flash-native-audio-preview-12-2025"
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FORMAT = pyaudio.paInt16
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CHANNELS = 1
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RECEIVE_SAMPLE_RATE = 24000
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CHUNK_SIZE = 1024
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IMG_MAX_W = 640
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IMG_MAX_H = 360
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JPEG_Q = 55
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SYSTEM_PROMPT = (
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"You are JARVIS from Iron Man movies. "
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"Analyze images with technical precision and intelligence. "
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"Help the user in a way they can understand — don't be overly complex. "
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"Be concise, smart, and helpful like Tony Stark's AI assistant. "
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"Respond in maximum 2 short sentences. Speed is priority. "
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"Address the user as 'sir' for a tone of respect. "
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"Ask if the user needs any further help with their problem."
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)
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def _get_api_key() -> str:
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try:
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with open(API_CONFIG_PATH, "r", encoding="utf-8") as f:
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keys = json.load(f)
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key = keys.get("gemini_api_key", "")
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if not key:
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raise ValueError("gemini_api_key not found")
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return key
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except Exception as e:
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raise RuntimeError(f"Could not load API key: {e}")
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def _get_camera_index() -> int:
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"""
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Reads camera index from config.
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If not set, auto-detects the best camera and saves it for future use.
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Runs only once — after that, config value is used directly.
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"""
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try:
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with open(API_CONFIG_PATH, "r", encoding="utf-8") as f:
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cfg = json.load(f)
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if "camera_index" in cfg:
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return int(cfg["camera_index"])
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except Exception:
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pass
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print("[Camera] 🔍 No camera index in config. Auto-detecting...")
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best_index = 0
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for idx in range(6):
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cap = cv2.VideoCapture(idx, cv2.CAP_DSHOW)
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if not cap.isOpened():
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cap.release()
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continue
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for _ in range(5):
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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 ret and frame is not None and frame.mean() > 5:
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best_index = idx
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print(f"[Camera] ✅ Camera found at index {idx} — saving to config.")
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break
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else:
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print(f"[Camera] ⚠️ Index {idx}: no valid frame (black or empty).")
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try:
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cfg = {}
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if API_CONFIG_PATH.exists():
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with open(API_CONFIG_PATH, "r", encoding="utf-8") as f:
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cfg = json.load(f)
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cfg["camera_index"] = best_index
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with open(API_CONFIG_PATH, "w", encoding="utf-8") as f:
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json.dump(cfg, f, indent=4)
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print(f"[Camera] 💾 Camera index {best_index} saved to config.")
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except Exception as e:
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print(f"[Camera] ⚠️ Could not save camera index: {e}")
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return best_index
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def _to_jpeg(img_bytes: bytes) -> bytes:
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if not _PIL_OK:
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return img_bytes
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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()
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def _capture_screenshot() -> bytes:
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with mss.mss() as sct:
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shot = sct.grab(sct.monitors[1])
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png_bytes = mss.tools.to_png(shot.rgb, shot.size)
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return _to_jpeg(png_bytes)
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def _capture_camera() -> bytes:
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camera_index = _get_camera_index()
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cap = cv2.VideoCapture(camera_index, cv2.CAP_DSHOW)
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if not cap.isOpened():
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raise RuntimeError(f"Camera could not be opened: index {camera_index}")
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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("Could not capture camera frame.")
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if _PIL_OK:
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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, optimize=False)
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return buf.getvalue()
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_, buf = cv2.imencode(".jpg", frame, [cv2.IMWRITE_JPEG_QUALITY, JPEG_Q])
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return buf.tobytes()
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class _LiveSession:
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"""
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Image-only analysis session.
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No microphone — no conflict with main.py session.
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Sends image + question, plays audio response.
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"""
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def __init__(self):
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self._loop: asyncio.AbstractEventLoop | None = None
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self._thread: threading.Thread | None = None
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self._session = None
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self._out_queue: asyncio.Queue | None = None
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self._audio_in: asyncio.Queue | None = None
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self._ready: threading.Event = threading.Event()
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self._player = None
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self._pya = pyaudio.PyAudio()
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self._send_lock: asyncio.Lock | None = None
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def start(self, player=None):
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if self._thread and self._thread.is_alive():
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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_loop, daemon=True, name="VisionSessionThread"
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)
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self._thread.start()
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ok = self._ready.wait(timeout=20)
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if not ok:
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raise RuntimeError("Vision session did not start within 20s.")
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print("[ScreenProcess] ✅ Vision session ready (no mic)")
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def _run_loop(self):
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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._main())
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async def _main(self):
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self._out_queue = asyncio.Queue(maxsize=30)
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self._audio_in = asyncio.Queue()
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self._send_lock = asyncio.Lock()
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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 = types.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=types.SpeechConfig(
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voice_config=types.VoiceConfig(
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prebuilt_voice_config=types.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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while True:
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try:
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print("[ScreenProcess] 🔌 Vision session connecting...")
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async with client.aio.live.connect(model=LIVE_MODEL, config=config) as session:
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self._session = session
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self._ready.set()
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print("[ScreenProcess] ✅ Vision session 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 e:
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print(f"[ScreenProcess] ⚠️ Disconnected: {e} — reconnecting...")
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self._session = None
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self._ready.clear()
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await asyncio.sleep(2)
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self._ready.set()
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# ── Send loop ──
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async def _send_loop(self):
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"""Sends (image_bytes, mime_type, user_text) tuples from queue."""
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while True:
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item = await self._out_queue.get()
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if self._session:
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image_bytes, mime_type, user_text = item
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try:
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b64 = base64.b64encode(image_bytes).decode("utf-8")
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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("[ScreenProcess] ✅ Image sent")
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except Exception as e:
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print(f"[ScreenProcess] ⚠️ Send error: {e}")
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async def _recv_loop(self):
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transcript_buf: 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_buf.append(chunk)
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if sc.turn_complete:
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if transcript_buf and self._player:
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full = re.sub(r'\s+', ' ', " ".join(transcript_buf)).strip()
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if full:
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self._player.write_log(f"Jarvis: {full}")
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print(f"[ScreenProcess] 💬 {full}")
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transcript_buf = []
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except Exception as e:
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print(f"[ScreenProcess] ⚠️ Recv error: {e}")
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transcript_buf = []
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await asyncio.sleep(0.3)
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async def _play_loop(self):
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stream = await asyncio.to_thread(
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self._pya.open,
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format=FORMAT, channels=CHANNELS,
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rate=RECEIVE_SAMPLE_RATE, output=True,
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)
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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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finally:
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stream.close()
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def analyze(self, image_bytes: bytes, mime_type: str, user_text: str):
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"""Called from main thread — puts image into async queue."""
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if not self._loop:
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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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_live = _LiveSession()
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_started = False
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_start_lock = threading.Lock()
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def _ensure_started(player=None):
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global _started
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with _start_lock:
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if not _started:
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_live.start(player=player)
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_started = True
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elif player is not None:
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_live._player = player
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def screen_process(
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parameters: dict,
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response: str | None = None,
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player=None,
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session_memory=None,
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) -> bool:
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user_text = (parameters or {}).get("text") or (parameters or {}).get("user_text", "")
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user_text = (user_text or "").strip()
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if not user_text:
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print("[ScreenProcess] ⚠️ No user_text provided.")
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return False
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angle = (parameters or {}).get("angle", "screen").lower().strip()
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print(f"[ScreenProcess] angle={angle!r} text={user_text!r}")
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_ensure_started(player=player)
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try:
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if angle == "camera":
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image_bytes = _capture_camera()
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mime_type = "image/jpeg"
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print("[ScreenProcess] 📷 Camera captured")
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else:
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image_bytes = _capture_screenshot()
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mime_type = "image/jpeg" if _PIL_OK else "image/png"
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print("[ScreenProcess] 🖥️ Screen captured")
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except Exception as e:
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import traceback; traceback.print_exc()
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print(f"[ScreenProcess] ❌ Capture error: {e}")
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return False
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print(f"[ScreenProcess] 📦 {len(image_bytes)} bytes → sending")
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_live.analyze(image_bytes, mime_type, user_text)
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return True
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def warmup_session(player=None):
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"""
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Optional: pre-warm the session.
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Do NOT call from main.py — causes double session issue.
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Only use when testing screen_processor.py standalone.
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"""
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try:
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_ensure_started(player=player)
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except Exception as e:
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print(f"[ScreenProcess] ⚠️ Warmup error: {e}")
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if __name__ == "__main__":
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print("[TEST] screen_processor.py v8 — image-only session")
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print("=" * 50)
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mode = input("screen / camera (default: screen): ").strip().lower() or "screen"
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request = input("Question (Enter for 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 — {time.perf_counter()-t0:.2f}s\n")
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t1 = time.perf_counter()
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result = screen_process({"angle": mode, "text": request}, player=None)
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print(f"Sent — {time.perf_counter()-t1:.3f}s | audio incoming...")
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time.sleep(8)
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print(f"\n{'✅' if result else '❌'}") |