Bruno Sarlo
41fba59bf7
- Create new dss/ Python package at project root - Move MCP core from tools/dss_mcp/ to dss/mcp/ - Move storage layer from tools/storage/ to dss/storage/ - Move domain logic from dss-mvp1/dss/ to dss/ - Move services from tools/api/services/ to dss/services/ - Move API server to apps/api/ - Move CLI to apps/cli/ - Move Storybook assets to storybook/ - Create unified dss/__init__.py with comprehensive exports - Merge configuration into dss/settings.py (Pydantic-based) - Create pyproject.toml for proper package management - Update startup scripts for new paths - Remove old tools/ and dss-mvp1/ directories Architecture changes: - DSS is now MCP-first with 40+ tools for Claude Code - Clean imports: from dss import Projects, Components, FigmaToolSuite - No more sys.path.insert() hacking - apps/ contains thin application wrappers (API, CLI) - Single unified Python package for all DSS logic 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
import os
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import logging
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from logging.handlers import RotatingFileHandler
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from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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from typing import List, Any, Optional
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# --- Configuration ---
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# Use project-local logs directory to avoid permission issues
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_current_file = os.path.dirname(os.path.abspath(__file__))
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_project_root = os.path.dirname(os.path.dirname(_current_file))
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LOG_DIR = os.path.join(_project_root, ".dss", "logs", "browser-logs")
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LOG_FILE = os.path.join(LOG_DIR, "browser.log")
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# Ensure log directory exists
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os.makedirs(LOG_DIR, exist_ok=True)
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# --- Logging Setup ---
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# We use a specific logger for browser logs to separate them from app logs
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browser_logger = logging.getLogger("browser_logger")
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browser_logger.setLevel(logging.INFO)
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# Rotating file handler: 10MB max size, keep last 5 backups
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handler = RotatingFileHandler(LOG_FILE, maxBytes=10*1024*1024, backupCount=5)
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formatter = logging.Formatter(
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'%(asctime)s [%(levelname)s] [BROWSER] %(message)s'
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)
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handler.setFormatter(formatter)
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browser_logger.addHandler(handler)
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# --- API Router ---
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router = APIRouter()
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class LogEntry(BaseModel):
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level: str
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timestamp: str
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message: str
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data: Optional[List[Any]] = None
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class LogBatch(BaseModel):
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logs: List[LogEntry]
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@router.post("/api/logs/browser")
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async def receive_browser_logs(batch: LogBatch):
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"""
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Receives a batch of logs from the browser and writes them to the log file.
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"""
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try:
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for log in batch.logs:
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# Map browser levels to python logging levels
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level = log.level.lower()
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log_message = f"[{log.timestamp}] {log.message}"
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if level == 'error':
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browser_logger.error(log_message)
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elif level == 'warn':
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browser_logger.warning(log_message)
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elif level == 'debug':
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browser_logger.debug(log_message)
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else:
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browser_logger.info(log_message)
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return {"status": "ok", "count": len(batch.logs)}
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except Exception as e:
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# Fallback to standard logger if something breaks deeply
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logging.error(f"Failed to process browser logs: {str(e)}")
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raise HTTPException(status_code=500, detail="Internal processing error")
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