diff --git a/lightrag/api/README-zh.md b/lightrag/api/README-zh.md index 1aa22403..7e76d694 100644 --- a/lightrag/api/README-zh.md +++ b/lightrag/api/README-zh.md @@ -140,18 +140,6 @@ docker compose up ``` > 可以通过以下链接获取官方的docker compose文件：[docker-compose.yml]( https://raw.githubusercontent.com/HKUDS/LightRAG/refs/heads/main/docker-compose.yml) 。如需获取LightRAG的历史版本镜像，可以访问以下链接: [LightRAG Docker Images]( https://github.com/HKUDS/LightRAG/pkgs/container/lightrag) -### 启动时自动扫描 - -当使用 `--auto-scan-at-startup` 参数启动LightRAG Server时，系统将自动： - -1. 扫描输入目录中的新文件 -2. 为尚未在数据库中的新文档建立索引 -3. 使所有内容立即可用于 RAG 查询 - -这种工作模式给启动一个临时的RAG任务提供给了方便。 - -> `--input-dir` 参数指定要扫描的输入目录。您可以从 webui 触发输入目录扫描。 - ### 启动多个LightRAG实例 有两种方式可以启动多个LightRAG实例。第一种方式是为每个实例配置一个完全独立的工作环境。此时需要为每个实例创建一个独立的工作目录，然后在这个工作目录上放置一个当前实例专用的`.env`配置文件。不同实例的配置文件中的服务器监听端口不能重复，然后在工作目录上执行 lightrag-server 启动服务即可。 @@ -432,7 +420,6 @@ LIGHTRAG_DOC_STATUS_STORAGE=PGDocStatusStorage | --ssl-keyfile | None | SSL 私钥文件路径（如果启用 --ssl 则必需） | | --llm-binding | ollama | LLM 绑定类型（lollms、ollama、openai、openai-ollama、azure_openai、aws_bedrock） | | --embedding-binding | ollama | 嵌入绑定类型（lollms、ollama、openai、azure_openai、aws_bedrock） | -| auto-scan-at-startup | - | 扫描输入目录中的新文件并开始索引 | ### Reranking 配置 diff --git a/lightrag/api/README.md b/lightrag/api/README.md index 44fb6d28..732a686f 100644 --- a/lightrag/api/README.md +++ b/lightrag/api/README.md @@ -143,18 +143,6 @@ docker compose up > You can get the official docker compose file from here: [docker-compose.yml](https://raw.githubusercontent.com/HKUDS/LightRAG/refs/heads/main/docker-compose.yml). For historical versions of LightRAG docker images, visit this link: [LightRAG Docker Images](https://github.com/HKUDS/LightRAG/pkgs/container/lightrag) -### Auto scan on startup - -When starting the LightRAG Server with the `--auto-scan-at-startup` parameter, the system will automatically: - -1. Scan for new files in the input directory -2. Index new documents that aren't already in the database -3. Make all content immediately available for RAG queries - -This offers an efficient method for deploying ad-hoc RAG processes. - -> The `--input-dir` parameter specifies the input directory to scan. You can trigger the input directory scan from the Web UI. - ### Starting Multiple LightRAG Instances There are two ways to start multiple LightRAG instances. The first way is to configure a completely independent working environment for each instance. This requires creating a separate working directory for each instance and placing a dedicated `.env` configuration file in that directory. The server listening ports in the configuration files of different instances cannot be the same. Then, you can start the service by running `lightrag-server` in the working directory. @@ -434,7 +422,6 @@ You cannot change storage implementation selection after adding documents to Lig | --ssl-keyfile | None | Path to SSL private key file (required if --ssl is enabled) | | --llm-binding | ollama | LLM binding type (lollms, ollama, openai, openai-ollama, azure_openai, aws_bedrock) | | --embedding-binding | ollama | Embedding binding type (lollms, ollama, openai, azure_openai, aws_bedrock) | -| --auto-scan-at-startup| - | Scan input directory for new files and start indexing | ### Reranking Configuration diff --git a/lightrag/api/config.py b/lightrag/api/config.py index 6966a7f2..de569f47 100644 --- a/lightrag/api/config.py +++ b/lightrag/api/config.py @@ -206,13 +206,6 @@ def parse_args() -> argparse.Namespace: help="Default workspace for all storage", ) - parser.add_argument( - "--auto-scan-at-startup", - action="store_true", - default=False, - help="Enable automatic scanning when the program starts", - ) - # Server workers configuration parser.add_argument( "--workers", diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py index a32c9c3e..256c7d6c 100644 --- a/lightrag/api/lightrag_server.py +++ b/lightrag/api/lightrag_server.py @@ -3,7 +3,6 @@ LightRAG FastAPI Server """ from fastapi import FastAPI, Depends, HTTPException -import asyncio import os import logging import logging.config @@ -45,7 +44,6 @@ from lightrag.constants import ( from lightrag.api.routers.document_routes import ( DocumentManager, create_document_routes, - run_scanning_process, ) from lightrag.api.routers.query_routes import create_query_routes from lightrag.api.routers.graph_routes import create_graph_routes @@ -54,7 +52,6 @@ from lightrag.api.routers.ollama_api import OllamaAPI from lightrag.utils import logger, set_verbose_debug from lightrag.kg.shared_storage import ( get_namespace_data, - get_pipeline_status_lock, initialize_pipeline_status, cleanup_keyed_lock, finalize_share_data, @@ -212,24 +209,6 @@ def create_app(args): # Data migration regardless of storage implementation await rag.check_and_migrate_data() - pipeline_status = await get_namespace_data("pipeline_status") - - should_start_autoscan = False - async with get_pipeline_status_lock(): - # Auto scan documents if enabled - if args.auto_scan_at_startup: - if not pipeline_status.get("autoscanned", False): - pipeline_status["autoscanned"] = True - should_start_autoscan = True - - # Only run auto scan when no other process started it first - if should_start_autoscan: - # Create background task - task = asyncio.create_task(run_scanning_process(rag, doc_manager)) - app.state.background_tasks.add(task) - task.add_done_callback(app.state.background_tasks.discard) - logger.info(f"Process {os.getpid()} auto scan task started at startup.") - ASCIIColors.green("\nServer is ready to accept connections! 🚀\n") yield