NexusMind

from pathlib import Path from typing import Any, Dict, List, Optional import yaml from pydantic import BaseModel, Field from pydantic_settings import BaseSettings # Load the YAML configuration file config_file_path = Path(__file__).parent.parent.parent / "config" / "settings.yaml" yaml_config = {} if config_file_path.exists(): with open(config_file_path) as f: yaml_config = yaml.safe_load(f) # --- Models for NexusMind Default Parameters --- class HypothesisParams(BaseModel): min_hypotheses: int = 2 max_hypotheses: int = 4 class DecompositionDimension(BaseModel): label: str description: str class ASRGoTDefaultParams(BaseModel): initial_confidence: List[float] = [0.9, 0.9, 0.9, 0.9] initial_layer: str = "root_layer" default_decomposition_dimensions: List[DecompositionDimension] = [] dimension_confidence: List[float] = [0.8, 0.8, 0.8, 0.8] hypotheses_per_dimension: HypothesisParams = HypothesisParams() hypothesis_confidence: List[float] = [0.5, 0.5, 0.5, 0.5] default_disciplinary_tags: List[str] = [] default_plan_types: List[str] = [] evidence_max_iterations: int = 5 pruning_confidence_threshold: float = 0.2 pruning_impact_threshold: float = 0.3 merging_semantic_overlap_threshold: float = 0.8 subgraph_min_confidence_threshold: float = 0.6 subgraph_min_impact_threshold: float = 0.5 class LayerDefinition(BaseModel): description: str class ASRGoTConfig(BaseModel): default_parameters: ASRGoTDefaultParams = ASRGoTDefaultParams() layers: Dict[str, LayerDefinition] = {} # --- Models for MCP Settings --- class MCPSettings(BaseModel): protocol_version: str = "2024-11-05" server_name: str = "NexusMind MCP Server" server_version: str = "0.1.0" vendor_name: str = "AI Research Group" # --- Main Application Settings Model --- class AppSettings(BaseModel): name: str = "NexusMind" version: str = "0.1.0" host: str = "0.0.0.0" port: int = 8000 log_level: str = "INFO" class Settings(BaseModel): app: AppSettings = AppSettings() asr_got: ASRGoTConfig = ASRGoTConfig() mcp_settings: MCPSettings = MCPSettings() knowledge_domains: List[Any] = [] # Create settings instance with values from YAML settings = Settings(**yaml_config)