# TSYS-AIOS-GIS-Tools-Weather-Analysis Container

This container is part of the TSYS-AIOS-GIS project and provides advanced weather data analysis capabilities with Jupyter notebooks and specialized meteorological tools.

## Overview

The TSYS-AIOS-GIS-Tools-Weather-Analysis container extends the base weather container with advanced analysis tools, Jupyter notebooks for interactive analysis, and specialized meteorological libraries. This container is designed for in-depth weather data analysis and balloon path prediction work.

## Tools Included

### Extends from Base Container
- All tools from TSYS-AIOS-GIS-Tools-Weather-Base container
- Weather data processing libraries, APIs, bulk download tools

### Advanced Analysis Tools
- **Jupyter Notebook**: Interactive environment for weather analysis
- **Node.js/npm**: JavaScript runtime and package manager
- **IPyKernel**: IPython kernel for Jupyter
- **GNU Octave**: Numerical computations (similar to MATLAB)

### Visualization & Forecasting Libraries
- **Cartopy**: Geospatial processing and visualization
- **Geoviews**: Geospatial data visualization
- **Folium**: Interactive maps with weather data overlays
- **Plotly**: Interactive weather visualizations
- **Forecast R package**: Time series forecasting

### Additional R packages
- **Lubridate**: Time series manipulation
- **Ggplot2/Tidyr/Dplyr**: Data analysis and visualization
- **RColorBrewer**: Color palettes for weather maps

## Usage

### Building the Weather Analysis Container
```bash
# From this directory
cd /home/localuser/AIWorkspace/TSYS-AIOS-GIS/Docker/TSYS-AIOS-GIS-Tools-Weather-Analysis

# Use the wrapper script to automatically detect and set user IDs
./docker-compose-wrapper.sh build

# Or run commands in the analysis container with automatic user mapping
./docker-compose-wrapper.sh run tsys-weather-analysis [command]

# Example: Start Jupyter notebook server
./docker-compose-wrapper.sh run tsys-weather-analysis jupyter notebook --ip=0.0.0.0 --port=8888 --allow-root --notebook-dir=/workspace --no-browser

# Example: Start Octave for numerical computations
./docker-compose-wrapper.sh run tsys-weather-analysis octave

# Example: Start an interactive bash session
./docker-compose-wrapper.sh run tsys-weather-analysis bash
```

### Using with docker-compose directly
```bash
# Set environment variables and run docker-compose directly
LOCAL_USER_ID=$(id -u) LOCAL_GROUP_ID=$(id -g) docker-compose up --build

# Or export variables first
export LOCAL_USER_ID=$(id -u)
export LOCAL_GROUP_ID=$(id -g) 
docker-compose up
```

### Using the wrapper script
```bash
# Build and start the analysis container with automatic user mapping
./docker-compose-wrapper.sh up --build

# Start without rebuilding (Jupyter will be available on port 8889)
./docker-compose-wrapper.sh up

# View container status
./docker-compose-wrapper.sh ps

# Stop containers
./docker-compose-wrapper.sh down
```

## Jupyter Notebook Access

When running the container with `docker-compose up`, Jupyter notebook will be available at:
- http://localhost:8889

The notebook server is preconfigured to:
- Use the workspace directory as the notebook directory
- Allow access without authentication (in container only)
- Accept connections from any IP address

## User ID Mapping (For File Permissions)

The container automatically detects and uses the host user's UID and GID to ensure proper file permissions. This means:

- Files created inside the container will have the correct ownership on the host
- No more root-owned files after container operations
- Works across different environments (development, production servers)

The container detects the user ID from the mounted workspace volume. If needed, you can override the default values by setting environment variables:

```bash
# Set specific user ID and group ID before running docker-compose
export LOCAL_USER_ID=1000
export LOCAL_GROUP_ID=1000
docker-compose up
```

Or run with inline environment variables:
```bash
LOCAL_USER_ID=1000 LOCAL_GROUP_ID=1000 docker-compose up
```

The container runs as a non-root user named `TSYS-Tools` with the detected host user's UID/GID.

## Weather Analysis Workflows

This container is optimized for:
- Interactive weather data analysis using Jupyter notebooks
- Balloon path prediction using weather data
- Advanced meteorological calculations
- Time series forecasting
- Weather data visualization
- Climate analysis workflows