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Remove auto-scan-at-startup feature and related documentation

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• Remove --auto-scan-at-startup arg
• Delete auto scan docs sections
• Remove startup scanning logic
This commit is contained in:
yangdx 2025-09-23 16:24:53 +08:00
parent fc15e9f142
commit 6b953fa53d
4 changed files with 0 additions and 54 deletions
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13
lightrag/api/README-zh.md
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@ -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

13
lightrag/api/README.md
View file

@ -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

7
lightrag/api/config.py
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@ -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",

21
lightrag/api/lightrag_server.py
View file

@ -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