bb3f468dd4
Add comprehensive one-command setup.sh script that handles:
- Prerequisites validation (Python 3, Git)
- Virtual environment creation and dependency installation
- Ollama installation and model download (llama3.1, nomic-embed-text)
- Redis installation and startup
- Directory and database initialization
- Frontend npm dependencies
- Clear progress output and next steps
Fix critical database path issues:
- Use absolute path calculation in config.py to ensure consistency
- Export SQLITE_DB_PATH environment variable in startup scripts
- Prevents database separation between app and MCP server
Fix document metadata field naming:
- Change metadata field from 'source' to 'filename' in MCP ingest
- Ensures consistency with existing document format
- Fixes document visibility issue in API endpoints
Update startup scripts to support environment-based database configuration.
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
107 lines
3.7 KiB
Python
107 lines
3.7 KiB
Python
"""
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Configuration management for Claude OS.
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Centralizes all application settings with environment variable support.
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"""
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import os
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from pathlib import Path
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from typing import Dict, List
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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class Config:
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"""Central configuration for Claude OS application."""
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# Ollama Configuration
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OLLAMA_HOST: str = os.getenv("OLLAMA_HOST", "http://localhost:11434")
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OLLAMA_MODEL: str = os.getenv("OLLAMA_MODEL", "llama3.1:latest") # Upgraded to faster 8B model
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OLLAMA_EMBED_MODEL: str = os.getenv("OLLAMA_EMBED_MODEL", "nomic-embed-text")
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# SQLite Database Configuration (replaces PostgreSQL)
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# Always use absolute path to avoid issues when running from different directories
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_default_db_path = str(Path(__file__).parent.parent.parent / "data" / "claude-os.db")
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SQLITE_DB_PATH: str = os.getenv("SQLITE_DB_PATH", _default_db_path)
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# MCP Server Configuration
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MCP_SERVER_HOST: str = os.getenv("MCP_SERVER_HOST", "0.0.0.0")
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MCP_SERVER_PORT: int = int(os.getenv("MCP_SERVER_PORT", "8051"))
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# Supported File Types
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SUPPORTED_FILE_TYPES: List[str] = [
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".md", ".txt", ".pdf",
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".py", ".js", ".jsx", ".ts", ".tsx",
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".json", ".yaml", ".yml",
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".go", ".rs", ".java", ".cpp", ".c", ".h"
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]
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# RAG Configuration (Optimized for M4 Pro with 48GB RAM)
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CHUNK_SIZE: int = 512 # Reduced to prevent Ollama crashes
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CHUNK_OVERLAP: int = 128 # Proportional overlap
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TOP_K_RETRIEVAL: int = 20 # More chunks with plenty of RAM
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RERANK_TOP_N: int = 10 # More reranked results
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SIMILARITY_THRESHOLD: float = 0.25 # Lower threshold for broader matches
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# KB Type Configuration
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DEFAULT_KB_TYPE: str = os.getenv("DEFAULT_KB_TYPE", "generic")
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# Type-specific RAG strategy recommendations
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# These are suggested defaults - users can override via UI
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KB_TYPE_RAG_DEFAULTS: Dict[str, Dict[str, bool]] = {
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"generic": {
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"hybrid": False,
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"rerank": False,
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"agentic": False
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},
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"code": {
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"hybrid": True, # Code benefits from keyword + semantic search
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"rerank": True, # Reranking helps with code relevance
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"agentic": False
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},
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"documentation": {
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"hybrid": True, # Docs benefit from hybrid search
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"rerank": True, # Reranking improves doc relevance
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"agentic": False
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},
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"agent-os": {
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"hybrid": True, # Agent OS specs benefit from hybrid search
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"rerank": True, # Reranking for spec relevance
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"agentic": True # Agentic RAG for complex spec queries
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}
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}
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# Storage Configuration
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UPLOAD_DIR: str = os.getenv("UPLOAD_DIR", "/workspace/data/uploads")
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@classmethod
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def get_ollama_url(cls) -> str:
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"""Get the full Ollama API URL."""
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return cls.OLLAMA_HOST
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@classmethod
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def get_db_path(cls) -> str:
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"""Get the SQLite database path."""
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db_path = Path(cls.SQLITE_DB_PATH)
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db_path.parent.mkdir(parents=True, exist_ok=True)
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return str(db_path)
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@classmethod
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def get_mcp_url(cls) -> str:
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"""Get the full MCP server URL."""
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return f"http://{cls.MCP_SERVER_HOST}:{cls.MCP_SERVER_PORT}"
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@classmethod
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def is_supported_file(cls, filename: str) -> bool:
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"""Check if a file type is supported."""
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return any(filename.lower().endswith(ext) for ext in cls.SUPPORTED_FILE_TYPES)
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@classmethod
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def ensure_upload_dir(cls) -> Path:
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"""Ensure upload directory exists and return Path object."""
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upload_path = Path(cls.UPLOAD_DIR)
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upload_path.mkdir(parents=True, exist_ok=True)
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return upload_path
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