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CLI tool for MetaV Visual Dashboard Platform

Project description

MetaV CLI (metav-cli)

Command-line interface for MetaV Visual Dashboard Platform.

Installation

Prerequisites

  • Python 3.8+
  • MetaV server running

Install CLI

cd agent-harness
pip install -e .

Configuration

Set environment variables or use command-line options:

export METAV_BASE_URL=http://localhost:10517/metav
export METAV_AUTHKEY=your_auth_key_here

Or use command-line options:

metav-cli --base-url http://localhost:10517/metav --authkey your_key app list

Usage

Authentication

# Login with username/password
metav-cli auth login -u username -p password

# Set authkey
metav-cli auth set-authkey your_auth_key

# Check status
metav-cli auth status

# Logout
metav-cli auth logout

Application Management

# List applications
metav-cli app list
metav-cli app list --page 1 --page-size 50 --keyword search

# Get application details
metav-cli app get <app_id>

# Create application
metav-cli app create --name "My Dashboard" --remark "Created via CLI"

# Update application
metav-cli app update <app_id> --name "New Name" --remark "Updated"

# Delete application
metav-cli app delete <app_id> --force

# Export/Import
metav-cli app export <app_id> --output myapp.zip
metav-cli app import myapp.zip

# Copy application
metav-cli app copy <app_id> --name "Copy of My Dashboard"

# Release/Publish
metav-cli app release <app_id>

Page Management

# List pages
metav-cli page list --app-id <app_id>

# Get page details
metav-cli page get <page_id>

# Create page
metav-cli page create --app-id <app_id> --name "New Page"

# Delete page
metav-cli page delete <page_id> --force

DataSource Management

# List data sources
metav-cli datasource list
metav-cli datasource list --page-size 100

# List all data sources
metav-cli datasource list-all

# Get data source
metav-cli datasource get <datasource_id>

# Create data source
metav-cli datasource create --name "My API" --type restful --config '{"url": "/api/data"}'

# Delete data source
metav-cli datasource delete <datasource_id> --force

Dashboard Operations

# Create dashboard from pageSchema
metav-cli dashboard create --app-name "My Dashboard" --schema schema.json --remark "AI created"

# List components
metav-cli dashboard components

# Get dashboard info
metav-cli dashboard info <app_id>

Information Commands

# Current user info
metav-cli info user

# Show configuration
metav-cli info config

# Show session info
metav-cli info session

# Show environment variables
metav-cli info env

JSON Output

Use --json flag for machine-readable output:

metav-cli app list --json
metav-cli app get <app_id> --json

Interactive REPL

metav-cli repl

REPL Commands

metav> app list              # List applications
metav> dashboard components  # List components
metav> auth status           # Show auth status
metav> info config           # Show configuration
metav> exit                  # Exit REPL

Session Management

The CLI stores session data in ~/.metav_session.json:

  • Authentication token
  • User info
  • Default base URL
  • Default app/page IDs

Exit Codes

  • 0: Success
  • 1: API error
  • 2: Configuration error

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