Skip to main content

Admin Service's client of [RAGFlow](https://github.com/infiniflow/ragflow). The Admin Service provides user management and system monitoring.

Project description

RAGFlow Admin Service & CLI

Introduction

Admin Service is a dedicated management component designed to monitor, maintain, and administrate the RAGFlow system. It provides comprehensive tools for ensuring system stability, performing operational tasks, and managing users and permissions efficiently.

The service offers real-time monitoring of critical components, including the RAGFlow server, Task Executor processes, and dependent services such as MySQL, Elasticsearch, Redis, and MinIO. It automatically checks their health status, resource usage, and uptime, and performs restarts in case of failures to minimize downtime.

For user and system management, it supports listing, creating, modifying, and deleting users and their associated resources like knowledge bases and Agents.

Built with scalability and reliability in mind, the Admin Service ensures smooth system operation and simplifies maintenance workflows.

It consists of a server-side Service and a command-line client (CLI), both implemented in Python. User commands are parsed using the Lark parsing toolkit.

  • Admin Service: A backend service that interfaces with the RAGFlow system to execute administrative operations and monitor its status.
  • Admin CLI: A command-line interface that allows users to connect to the Admin Service and issue commands for system management.

Starting the Admin Service

Launching from source code

  1. Before start Admin Service, please make sure RAGFlow system is already started.

  2. Launch from source code:

    python admin/server/admin_server.py
    

    The service will start and listen for incoming connections from the CLI on the configured port.

Using docker image

  1. Before startup, please configure the docker_compose.yml file to enable admin server:

    command:
      - --enable-adminserver
    
  2. Start the containers, the service will start and listen for incoming connections from the CLI on the configured port.

Using the Admin CLI

  1. Ensure the Admin Service is running.
  2. Install ragflow-cli.
    pip install ragflow-cli
    
  3. Launch the CLI client:
    ragflow-cli -h 0.0.0.0 -p 9381
    
    Enter superuser's password to login. Default password is admin.

Supported Commands

Commands are case-insensitive and must be terminated with a semicolon (;).

Service Management Commands

  • LIST SERVICES;
    • Lists all available services within the RAGFlow system.
  • SHOW SERVICE <id>;
    • Shows detailed status information for the service identified by <id>.

User Management Commands

  • LIST USERS;

    • Lists all users known to the system.
  • SHOW USER '<username>';

    • Shows details and permissions for the specified user. The username must be enclosed in single or double quotes.
  • CREATE USER <username> <password>;

    • Create user by username and password. The username and password must be enclosed in single or double quotes.
  • DROP USER '<username>';

    • Removes the specified user from the system. Use with caution.
  • ALTER USER PASSWORD '<username>' '<new_password>';

    • Changes the password for the specified user.
  • ALTER USER ACTIVE <username> <on/off>;

    • Changes the user to active or inactive.

Data and Agent Commands

  • LIST DATASETS OF '<username>';
    • Lists the datasets associated with the specified user.
  • LIST AGENTS OF '<username>';
    • Lists the agents associated with the specified user.

Meta-Commands

Meta-commands are prefixed with a backslash (\).

  • \? or \help
    • Shows help information for the available commands.
  • \q or \quit
    • Exits the CLI application.

Examples

admin> list users;
+-------------------------------+------------------------+-----------+-------------+
| create_date                   | email                  | is_active | nickname    |
+-------------------------------+------------------------+-----------+-------------+
| Fri, 22 Nov 2024 16:03:41 GMT | jeffery@infiniflow.org | 1         | Jeffery     |
| Fri, 22 Nov 2024 16:10:55 GMT | aya@infiniflow.org     | 1         | Waterdancer |
+-------------------------------+------------------------+-----------+-------------+

admin> list services;
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| extra                                                                                     | host      | id | name          | port  | service_type   |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| {}                                                                                        | 0.0.0.0   | 0  | ragflow_0     | 9380  | ragflow_server |
| {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'}                 | localhost | 1  | mysql         | 5455  | meta_data      |
| {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'}                | localhost | 2  | minio         | 9000  | file_store     |
| {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3  | elasticsearch | 1200  | retrieval      |
| {'db_name': 'default_db', 'retrieval_type': 'infinity'}                                   | localhost | 4  | infinity      | 23817 | retrieval      |
| {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'}                        | localhost | 5  | redis         | 6379  | message_queue  |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ragflow_cli-0.21.0.dev7.tar.gz (11.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ragflow_cli-0.21.0.dev7-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file ragflow_cli-0.21.0.dev7.tar.gz.

File metadata

  • Download URL: ragflow_cli-0.21.0.dev7.tar.gz
  • Upload date:
  • Size: 11.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.18

File hashes

Hashes for ragflow_cli-0.21.0.dev7.tar.gz
Algorithm Hash digest
SHA256 2506b13c1446103f0ed622bf197e225dfef747cbc93fa1b2008cc11cce1c6122
MD5 74ffec4e87c302cd22cbb8c0495d7b23
BLAKE2b-256 b716a444641253c57c4289e38d9049f86ca31ab9f46d27d36a7f038418ac6924

See more details on using hashes here.

File details

Details for the file ragflow_cli-0.21.0.dev7-py3-none-any.whl.

File metadata

File hashes

Hashes for ragflow_cli-0.21.0.dev7-py3-none-any.whl
Algorithm Hash digest
SHA256 320056d4b2a2ae5eb62de5b4ef5f2e3aa1888ed4ad982be921e6d29cff8cb955
MD5 e99cc74c32ac06f0def94650e065e6e0
BLAKE2b-256 7ddf6322ee412b6e68a382aacd9fd4eabae08bdb9446d5c87e6c6d055cbb9875

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page