重构配置逻辑
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119
reelforge/config/manager.py
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119
reelforge/config/manager.py
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"""
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Configuration Manager - Singleton pattern
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Provides unified access to configuration with automatic validation.
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"""
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from pathlib import Path
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from typing import Any, Optional
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from loguru import logger
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from .schema import ReelForgeConfig
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from .loader import load_config_dict, save_config_dict
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class ConfigManager:
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"""
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Configuration Manager (Singleton)
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Provides unified access to configuration with automatic validation.
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"""
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_instance: Optional['ConfigManager'] = None
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def __new__(cls, config_path: str = "config.yaml"):
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if cls._instance is None:
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cls._instance = super().__new__(cls)
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return cls._instance
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def __init__(self, config_path: str = "config.yaml"):
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# Only initialize once
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if hasattr(self, '_initialized'):
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return
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self.config_path = Path(config_path)
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self.config: ReelForgeConfig = self._load()
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self._initialized = True
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def _load(self) -> ReelForgeConfig:
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"""Load configuration from file"""
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data = load_config_dict(str(self.config_path))
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return ReelForgeConfig(**data)
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def reload(self):
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"""Reload configuration from file"""
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self.config = self._load()
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logger.info("Configuration reloaded")
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def save(self):
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"""Save current configuration to file"""
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save_config_dict(self.config.to_dict(), str(self.config_path))
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def update(self, updates: dict):
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"""
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Update configuration with new values
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Args:
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updates: Dictionary of updates (e.g., {"llm": {"api_key": "xxx"}})
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"""
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current = self.config.to_dict()
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# Deep merge
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def deep_merge(base: dict, updates: dict) -> dict:
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for key, value in updates.items():
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if key in base and isinstance(base[key], dict) and isinstance(value, dict):
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deep_merge(base[key], value)
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else:
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base[key] = value
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return base
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merged = deep_merge(current, updates)
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self.config = ReelForgeConfig(**merged)
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def get(self, key: str, default: Any = None) -> Any:
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"""Dict-like access (for backward compatibility)"""
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return self.config.to_dict().get(key, default)
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def validate(self) -> bool:
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"""Validate configuration completeness"""
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return self.config.validate_required()
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def get_llm_config(self) -> dict:
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"""Get LLM configuration as dict"""
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return {
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"api_key": self.config.llm.api_key,
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"base_url": self.config.llm.base_url,
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"model": self.config.llm.model,
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}
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def set_llm_config(self, api_key: str, base_url: str, model: str):
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"""Set LLM configuration"""
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self.update({
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"llm": {
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"api_key": api_key,
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"base_url": base_url,
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"model": model,
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}
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})
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def get_image_config(self) -> dict:
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"""Get image configuration as dict"""
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return {
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"default": self.config.image.default,
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"comfyui_url": self.config.image.comfyui_url,
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"runninghub_api_key": self.config.image.runninghub_api_key,
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"prompt_prefix": self.config.image.prompt_prefix,
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}
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def set_image_config(
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self,
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comfyui_url: Optional[str] = None,
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runninghub_api_key: Optional[str] = None
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):
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"""Set image configuration"""
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updates = {}
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if comfyui_url is not None:
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updates["comfyui_url"] = comfyui_url
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if runninghub_api_key is not None:
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updates["runninghub_api_key"] = runninghub_api_key
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if updates:
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self.update({"image": updates})
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