earth-viz 0.0.465

Earth Visualization Backend - FastAPI router for weather data and earth imagery

Earth-Viz Backend

FastAPI backend server for the Earth-Viz interactive globe visualization.

What It Does

• Serves the Earth-Viz web application
• Proxies NOAA weather data requests (OpenDAP and GRIB2)
• Generates real-time cloud imagery from satellite data
• Provides WebSocket API for programmatic control of the visualization
• Serves static planet textures

Quick Start

pip install earth-viz
earth-viz-setup    # Download static files (one-time, ~100MB)
earth-viz-server   # Start server

The application will be available at http://localhost:8000/earth-viz-app/

Installation

Prerequisites

• Python 3.8+
• pip package manager

Install Package

pip install earth-viz

Download Static Files

The package requires high-resolution planet textures (~300MB). Download them once:

earth-viz-setup

This downloads static images to ~/.globe-server/static_images/

Start Server

earth-viz-server

API Endpoints

Web Application

GET /earth-viz-app/          # Main application

Health & Status

GET /earth-viz/api/health    # Health check
GET /earth-viz/api/status    # Connection status

Data Proxies

GET /earth-viz/api/proxy/opendap?url={url}           # OpenDAP data proxy
GET /earth-viz/api/cgi-bin/filter_gfs_0p25.pl        # GRIB2 data proxy

Planet Images

GET /earth-viz/api/planets/{planet_name}             # Static planet textures

Supported planets: earth, mars, venus, moon, jupiter, saturn, uranus, neptune, mercury

Cloud Generation

GET /earth-viz/api/live-earth/status                 # Trigger cloud generation

WebSocket Control

WS /earth-viz/ws                                     # Control connection

WebSocket Control API

Connect to /earth-viz/ws to send commands to the visualization:

const ws = new WebSocket('ws://localhost:8000/earth-viz/ws');

ws.send(JSON.stringify({
  type: 'EARTH_COMMAND',
  command: 'setProjection',
  params: ['orthographic']
}));

Available commands:

• setProjection(projection) - Set map projection
• setOverlay(type) - Set overlay type
• setAirMode(level, particleType, overlayType) - Air mode
• setOceanMode(particleType, overlayType) - Ocean mode
• setPlanetMode(planet) - Planet mode
• setLevel(level) - Set atmospheric level
• showGrid() / hideGrid() - Toggle grid
• setWindUnits(units) - Set wind units
• setDate(date) / setHour(hour) - Time controls
• navigateTime(hours) - Navigate time
• goToNow() - Reset to current time
• hideUI() / showUI() - Toggle UI
• enableFullScreen() / disableFullScreen() - Fullscreen

Integration Mode

Mount the Earth-Viz router in your own FastAPI application:

from fastapi import FastAPI
from earth_viz_backend.earth_viz_api import create_earth_viz_router
from earth_viz_backend.earth_control import create_earth_control_router
from earth_viz_backend.services.cloud_scheduler import scheduler
import asyncio

app = FastAPI()

# Mount routers
app.include_router(create_earth_viz_router())
app.include_router(create_earth_control_router())

# Add lifecycle handlers
@app.on_event("startup")
async def startup():
    asyncio.create_task(scheduler.start())

@app.on_event("shutdown")
async def shutdown():
    await scheduler.stop()

Programmatic Control

Control the visualization from Python:

from earth_viz_backend.earth_control import (
    set_projection,
    set_air_mode,
    set_planet_mode,
    await_earth_connection
)

# Wait for frontend to connect
await await_earth_connection(timeout=30.0)

# Send commands
await set_projection("orthographic")
await set_air_mode("surface", "wind", "temp")
await set_planet_mode("mars")

Development

API documentation available at:

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

File Locations

• Static images: ~/.globe-server/static_images/
• Generated clouds: ~/.globe-server/images/
• Package source: src/earth_viz_backend/
• Frontend app: src/earth_viz_backend/static/