50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
import os
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from dataclasses import dataclass
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@dataclass
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class Settings:
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# Hotkeys (Windows format for `keyboard` lib)
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shortcut_capture: str = "alt+shift+1"
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shortcut_send: str = "alt+shift+2"
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shortcut_action3: str = "alt+shift+3"
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shortcut_reset: str = "alt+shift+4"
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shortcut_quit: str = "alt+shift+5"
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shortcut_toggle_mode: str = "alt+shift+6"
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# OpenAI
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model: str = "Google Gemini_2.5"
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prompt: str = (
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"You are a helpful assistant. Analyze the images and answer clearly."
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)
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retries: int = 3
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request_timeout_s: int = 60
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# Configurable API base and key. If left empty, env vars are used.
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# Typical base: https://api.openai.com/v1
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endpoint_base: str = "https://api.muzhen.org/v1"
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api_key: str = "falconfang"
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# Typing and clipboard behavior
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type_interval_s: float = 0.015
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# Data storage
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app_dir: str = os.path.join(
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os.environ.get("LOCALAPPDATA", os.path.expanduser("~/.local/share")),
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"BgVisionAgent",
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)
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captures_dir_name: str = "captures"
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response_file_name: str = "response.txt"
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log_file_name: str = "agent.log"
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def ensure_dirs(cfg: Settings) -> None:
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os.makedirs(cfg.app_dir, exist_ok=True)
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os.makedirs(os.path.join(cfg.app_dir, cfg.captures_dir_name), exist_ok=True)
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def data_paths(cfg: Settings):
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captures_dir = os.path.join(cfg.app_dir, cfg.captures_dir_name)
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response_path = os.path.join(cfg.app_dir, cfg.response_file_name)
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log_path = os.path.join(cfg.app_dir, cfg.log_file_name)
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return captures_dir, response_path, log_path
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