Add log support for OpenAI demo
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@@ -1,11 +1,76 @@
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import os
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import asyncio
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import logging
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import logging.config
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from lightrag import LightRAG, QueryParam
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from lightrag.llm.openai import gpt_4o_mini_complete, openai_embed
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from lightrag.kg.shared_storage import initialize_pipeline_status
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from lightrag.utils import logger, set_verbose_debug
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WORKING_DIR = "./dickens"
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def configure_logging():
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"""Configure logging for the application"""
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# Reset any existing handlers to ensure clean configuration
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for logger_name in ["uvicorn", "uvicorn.access", "uvicorn.error", "lightrag"]:
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logger_instance = logging.getLogger(logger_name)
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logger_instance.handlers = []
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logger_instance.filters = []
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# Get log directory path from environment variable or use current directory
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log_dir = os.getenv("LOG_DIR", os.getcwd())
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log_file_path = os.path.abspath(os.path.join(log_dir, "lightrag_demo.log"))
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print(f"\nLightRAG demo log file: {log_file_path}\n")
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os.makedirs(os.path.dirname(log_dir), exist_ok=True)
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# Get log file max size and backup count from environment variables
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log_max_bytes = int(os.getenv("LOG_MAX_BYTES", 10485760)) # Default 10MB
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log_backup_count = int(os.getenv("LOG_BACKUP_COUNT", 5)) # Default 5 backups
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logging.config.dictConfig(
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{
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"version": 1,
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"disable_existing_loggers": False,
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"formatters": {
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"default": {
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"format": "%(levelname)s: %(message)s",
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},
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"detailed": {
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"format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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},
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},
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"handlers": {
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"console": {
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"formatter": "default",
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"class": "logging.StreamHandler",
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"stream": "ext://sys.stderr",
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},
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"file": {
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"formatter": "detailed",
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"class": "logging.handlers.RotatingFileHandler",
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"filename": log_file_path,
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"maxBytes": log_max_bytes,
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"backupCount": log_backup_count,
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"encoding": "utf-8",
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},
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},
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"loggers": {
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"lightrag": {
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"handlers": ["console", "file"],
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"level": "INFO",
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"propagate": False,
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},
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},
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}
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)
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# Set the logger level to INFO
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logger.setLevel(logging.INFO)
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# Enable verbose debug if needed
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set_verbose_debug(os.getenv("VERBOSE_DEBUG", "false").lower() == "true")
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if not os.path.exists(WORKING_DIR):
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os.mkdir(WORKING_DIR)
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@@ -61,4 +126,6 @@ async def main():
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if __name__ == "__main__":
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# Configure logging before running the main function
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configure_logging()
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asyncio.run(main())
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