81115dc23d
微信自动回复机器人，基于截图+OCR识别消息，支持关键词规则和 AI（OpenAI/DeepSeek/Dify）自动回复。 技术栈：PySide6 + Flask + Vue3 + RapidOCR + SQLite 注：OCR大模型文件（.onnx / .pdiparams）不纳入版本控制，需单独下载。 🤖 Generated with [Qoder][https://qoder.com]
47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
import os
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import sys
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from pathlib import Path
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from app.application.services import AppConfig
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from app.infrastructure.backend import start_backend
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PROJECT_ROOT = Path(__file__).resolve().parent
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VENV_ROOT = PROJECT_ROOT / ".venv"
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VENV_DIR = VENV_ROOT / "Scripts"
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VENV_PYTHON = VENV_DIR / "python.exe"
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def _resolve(path):
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try:
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return Path(path).resolve()
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except Exception:
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return None
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def _running_in_project_venv():
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current_prefix = _resolve(sys.prefix)
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if current_prefix == _resolve(VENV_ROOT):
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return True
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current_executable = _resolve(sys.executable)
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return current_executable == _resolve(VENV_PYTHON)
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def ensure_project_venv():
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if _running_in_project_venv():
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return
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if os.environ.get("OPENCLAW_PROJECT_VENV_REEXEC") == "1":
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raise RuntimeError("重启后仍未进入项目 .venv，请检查 .venv 是否损坏")
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if not VENV_PYTHON.exists():
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raise RuntimeError(f"未找到项目 .venv 解释器: {VENV_PYTHON}")
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os.environ["OPENCLAW_PROJECT_VENV_REEXEC"] = "1"
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os.chdir(str(PROJECT_ROOT))
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os.execv(str(VENV_PYTHON), [str(VENV_PYTHON), str(PROJECT_ROOT / "backend_main.py")])
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ensure_project_venv()
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if __name__ == "__main__":
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config = AppConfig()
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start_backend(host=config.host, port=config.port)
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