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==0.21.1
    
  3. Launch the CLI client:

    ragflow-cli -h 127.0.0.1 -p 9381
    

    You will be prompted to enter the superuser's password to log in. The default password is admin.

    Parameters:

    • -h: RAGFlow admin server host address

    • -p: RAGFlow admin server port

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-0.21.1.tar.gz (12.5 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-0.21.1-py3-none-any.whl (10.7 kB view details)

Uploaded Python 3

File details

Details for the file ragflow_cli-0.21.1.tar.gz.

File metadata

  • Download URL: ragflow_cli-0.21.1.tar.gz
  • Upload date:
  • Size: 12.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for ragflow_cli-0.21.1.tar.gz
Algorithm Hash digest
SHA256 010eb6f521013102c904df09c3bc04c638159357ef37643b7dbfd1ebacf5696e
MD5 0eacebb31b01e5c09901eba9a0319229
BLAKE2b-256 ab6d786d32178cdbd118490ed37bc13fbafd9c0f971df4159f56f8498e64f7ed

See more details on using hashes here.

File details

Details for the file ragflow_cli-0.21.1-py3-none-any.whl.

File metadata

  • Download URL: ragflow_cli-0.21.1-py3-none-any.whl
  • Upload date:
  • Size: 10.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for ragflow_cli-0.21.1-py3-none-any.whl
Algorithm Hash digest
SHA256 86cbdaec834d1adcad78ea1cbd60546a35dd42378fedc11924bde1495a3da4eb
MD5 9fe34a94039605e21fdcfaebc387d27b
BLAKE2b-256 c8c8143f583d45e874385d6149d912f7c9506dd0dec719748a3324bec4b61fe4

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