diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..40a3e0b
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,82 @@
+# .dockerignore - Excludes files from Docker build context
+# Reduces build time, image size, and prevents leaking sensitive data
+
+# Version control
+.git/
+.gitignore
+.github/
+
+# Python cache and compiled files
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.pytest_cache/
+
+# Virtual environments
+.venv/
+venv/
+env/
+ENV/
+.poetry/
+
+# Environment variables (SECURITY: never include secrets in images)
+.env
+.env.*
+
+# Documentation
+# Keep README.md for Poetry package installation
+# *.md # Commented out to allow README.md
+docs/
+LICENSE
+
+# Development and testing
+.pre-commit-config.yaml
+.ropeproject/
+tests/
+test_*.py
+
+# IDE and editor files
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+.DS_Store
+
+# Docker files (don't need these inside the image)
+Dockerfile
+Dockerfile.*
+docker-compose.yml
+docker-compose.*.yml
+.dockerignore
+
+# Build artifacts
+dist/
+build/
+*.egg-info/
+*.egg
+.eggs/
+
+# Logs
+*.log
+logs/
+
+# OS files
+.DS_Store
+Thumbs.db
+Desktop.ini
+
+# Temporary files
+*.tmp
+*.temp
+tmp/
+temp/
+
+# Coverage reports
+htmlcov/
+.coverage
+.coverage.*
+coverage.xml
+*.cover
+.hypothesis/
diff --git a/.env.example b/.env.example
new file mode 100644
index 0000000..7b1055a
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,75 @@
+# Environment Variables Template for Survey Dashboard
+# Copy this file to .env and update with your actual values
+# Command: cp .env.example .env
+
+# ============================================================================
+# Docker Compose Configuration
+# ============================================================================
+
+# Project name - used as prefix for container names
+# Example: survey-dashboard_nginx_1, survey-dashboard_dashboard_1
+COMPOSE_PROJECT_NAME=survey-dashboard
+
+# ============================================================================
+# Application Configuration
+# ============================================================================
+
+# Port the Panel application runs on inside the container
+# Default: 5006 (Panel's default port)
+APP_PORT=
+
+# ============================================================================
+# Nginx Configuration
+# ============================================================================
+
+# Port nginx exposes on the host machine
+# Default: 80 (standard HTTP port), 443 (standard HTTPS port)
+# Change to 8080/8443 if 80/443 are already in use
+NGINX_PORT=
+
+# Your domain name
+# IMPORTANT: For HTTPS to work, this MUST be a real domain that points to your server
+# In development: Use 'localhost' (HTTPS won't work, only HTTP)
+# In production: Use your actual domain (e.g., survey.example.com)
+# This domain is used by:
+# - nginx-proxy: Routes traffic from this domain to the dashboard
+# - acme-companion: Requests SSL certificate for this domain from Let's Encrypt
+HOST=
+
+# Path on the domain where the dashboard is accessible
+# If set, the dashboard will ONLY be accessible at this specific path
+# Examples:
+# - VIRTUAL_PATH=/survey-dashboard → https://your-domain.com/survey-dashboard
+# - VIRTUAL_PATH=/dashboard → https://your-domain.com/dashboard
+# - Leave empty for root path → https://your-domain.com/
+# IMPORTANT: Must start with / (forward slash)
+# All other paths on this domain will return 404
+VIRTUAL_PATH=
+
+# ============================================================================
+# SSL/HTTPS Configuration (Let's Encrypt)
+# ============================================================================
+
+# Your email address for Let's Encrypt certificate registration
+# REQUIRED for production HTTPS deployment
+# Let's Encrypt uses this email to:
+# - Send certificate expiration warnings (if auto-renewal fails)
+# - Send security notices about your certificates
+# - Contact you about your Let's Encrypt account
+# Example: admin@example.com or your-email@gmail.com
+LETSENCRYPT_EMAIL=
+
+# ============================================================================
+# Python Configuration
+# ============================================================================
+
+# Keep Python output unbuffered for better logging
+PYTHONUNBUFFERED=1
+
+# ============================================================================
+# NOTES
+# ============================================================================
+# - Never commit the .env file to version control
+# - .env is listed in .gitignore to prevent accidental commits
+# - Update .env.example when adding new environment variables
+# - In production, consider using Docker secrets or a secrets manager
diff --git a/.env.local.example b/.env.local.example
new file mode 100644
index 0000000..8cb0c2a
--- /dev/null
+++ b/.env.local.example
@@ -0,0 +1,83 @@
+# Environment Variables for LOCAL TESTING
+# Copy this file to .env.local for local Docker testing
+# Command: cp .env.local.example .env.local
+
+# IMPORTANT: This is for LOCAL TESTING ONLY
+# For production deployment, use .env.example instead
+
+# ============================================================================
+# Docker Compose Configuration
+# ============================================================================
+
+# Project name - use different name to avoid conflicts with production
+COMPOSE_PROJECT_NAME=survey-dashboard-local
+
+# ============================================================================
+# Application Configuration
+# ============================================================================
+
+# Port the Panel application runs on inside the container
+APP_PORT=5006
+
+# ============================================================================
+# Nginx Configuration
+# ============================================================================
+
+# Port nginx exposes on the host machine
+# Default: 80 for HTTP
+# If port 80 is in use, change to 8080 or another available port
+NGINX_PORT=80
+
+# Domain name - use localhost for local testing
+# IMPORTANT: HTTPS will NOT work with localhost (Let's Encrypt requires real domains)
+# You can only test HTTP locally
+HOST=localhost
+
+# Path on the domain where the dashboard is accessible
+# Test the same path you'll use in production
+# Example: VIRTUAL_PATH=/2021community
+# Leave empty to serve from root: http://localhost/
+VIRTUAL_PATH=/2021community
+
+# ============================================================================
+# SSL/HTTPS Configuration (Let's Encrypt)
+# ============================================================================
+
+# Dummy email for local testing
+# This is not used when HOST=localhost (Let's Encrypt won't run)
+# In production, use a real email address
+LETSENCRYPT_EMAIL=test@localhost
+
+# ============================================================================
+# Python Configuration
+# ============================================================================
+
+# Keep Python output unbuffered for better logging
+PYTHONUNBUFFERED=1
+
+# ============================================================================
+# LOCAL TESTING NOTES
+# ============================================================================
+
+# What works locally:
+# ✅ Docker build and container startup
+# ✅ HTTP access at http://localhost/2021community
+# ✅ Path routing and restrictions
+# ✅ WebSocket connections
+# ✅ Dashboard interactivity
+# ✅ Container restarts and rebuilds
+
+# What does NOT work locally:
+# ❌ HTTPS/SSL certificates (requires real domain)
+# ❌ Let's Encrypt certificate acquisition (localhost is not valid)
+# ❌ External access from internet (only local machine)
+
+# How to test:
+# 1. Copy this file: cp .env.local.example .env.local
+# 2. Start containers: docker-compose --env-file .env.local up -d --build
+# 3. Test in browser: http://localhost/2021community
+# 4. Follow LOCAL_TESTING.md for detailed testing scenarios
+
+# Cleanup after testing:
+# docker-compose --env-file .env.local down
+# docker-compose --env-file .env.local down -v # Remove volumes too
diff --git a/.gitignore b/.gitignore
index 9b1fbd7..ecaa234 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,6 @@
# custom
-*.csv
+responses_cleaned_mapped_to_publish.csv
+#survey_dashboard/hmc_layout/static/en_files/fonts/
# Byte-compiled / optimized / DLL files
__pycache__/
@@ -106,6 +107,7 @@ celerybeat.pid
# Environments
.env
+.env.local
.venv
env/
venv/
@@ -113,6 +115,9 @@ ENV/
env.bak/
venv.bak/
+# Deployment files (may contain sensitive server info)
+DEPLOYMENT.md
+
# Spyder project settings
.spyderproject
.spyproject
@@ -130,3 +135,7 @@ dmypy.json
# Pyre type checker
.pyre/
+
+
+# Claude
+.claude/
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..3348f27
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,44 @@
+# Multi-stage build for survey dashboard
+# Stage 1: Builder - installs dependencies
+FROM python:3.12-slim as builder
+
+# Install poetry
+RUN pip install --no-cache-dir poetry==1.8.2
+
+WORKDIR /app
+
+# Copy dependency files first (for Docker layer caching)
+COPY pyproject.toml poetry.lock README.md ./
+
+# Configure poetry to not create virtual environment (we're in a container)
+RUN poetry config virtualenvs.create false
+
+# Install dependencies (excluding dev dependencies)
+# --no-root: Don't install the project itself, only dependencies
+RUN poetry install --only main --no-root --no-interaction --no-ansi
+
+# Stage 2: Final runtime image
+FROM python:3.12-slim
+
+WORKDIR /app
+
+# Copy installed packages from builder stage
+COPY --from=builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages
+COPY --from=builder /usr/local/bin /usr/local/bin
+
+# Copy application code
+COPY survey_dashboard/ ./survey_dashboard/
+COPY pyproject.toml ./
+
+# Create a non-root user for security
+RUN useradd -m -u 1000 appuser && \
+ chown -R appuser:appuser /app
+
+USER appuser
+
+# Expose the application port
+EXPOSE 5006
+
+# Run the application in production mode
+# Use python -m to run the module directly since we installed with --no-root
+CMD ["python", "-m", "survey_dashboard.scripts", "--production", "--host", "0.0.0.0", "--port", "5006"]
diff --git a/LICENSE b/LICENSE
index d417970..42fd2d7 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,6 @@
MIT License
-Copyright (c) 2022 Materials Data Science and Informatics
+Copyright (c) 2025 Materials Data Science and Informatics
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
diff --git a/README.md b/README.md
index 224243a..1d23490 100644
--- a/README.md
+++ b/README.md
@@ -1,72 +1,229 @@
-# Survey dashboard
+# Survey Dashboard
-A dashboard to display survey data in an interactive way.
+A dashboard to display survey data in an interactive way using Panel and Bokeh.
## Overview
-This repository contains a dashboard using Panel and Bokeh, developed to display data from
-HMC surveys in an interactive exploratory way. It is designed such that the code for the interactive
-visualizations might be reused for other projects.
-Example of a deployed version can be found [here](https://dashboard.survey.helmholtz-metadaten.de/survey_dashboard)
+This repository contains an interactive dashboard developed to display data from HMC surveys in an exploratory way. The dashboard is designed to be reusable for other survey visualization projects.
+
+**Live Demo:** [https://dashboard.survey.helmholtz-metadaten.de/2021community](https://dashboard.survey.helmholtz-metadaten.de/2021community)
+
+### Screenshots
-Some impressions:
+## Features
+
+- **Interactive Visualizations**: Explore survey data through dynamic charts and plots
+- **Multiple Languages**: Support for English and German (configurable via environment variables)
+- **Dockerized Deployment**: Production-ready Docker setup with HTTPS support
+- **Responsive Design**: Works across different screen sizes
+- **Self-hosted Fonts**: Uses HIFIS DIN fonts for consistent branding
+
## Installation
-After downloading the git repository you can install the software either with pip or poetry.
-We recommend setting it up in a separate python virtual environment.
+### Prerequisites
-```shell
-pip install survey_dashboard
-```
-or
+- Python 3.12 or higher
+- Poetry (recommended for development)
+- Docker & Docker Compose (for production deployment)
+
+### Local Development Setup
+
+1. **Clone the repository:**
+ ```bash
+ git clone https://github.com/Materials-Data-Science-and-Informatics/survey_dashboard.git
+ cd survey_dashboard
+ ```
+
+2. **Install dependencies using Poetry:**
+ ```bash
+ poetry install
+ ```
-```shell
-poetry install .
+3. **Run the development server:**
+ ```bash
+ poetry run survey-dashboard
+ ```
+
+ The dashboard will be available at `http://localhost:5006/2021community/`
+
+### Alternative: Using pip
+
+```bash
+pip install .
+python -m survey_dashboard.scripts
```
## Usage
+### Development Mode
+
+The easiest way to run the dashboard in development mode:
+
+```bash
+poetry run survey-dashboard
+```
+
+This starts the server with:
+- Auto-reload on code changes
+- Browser opens automatically
+- Development-friendly error messages
+
+### Manual Panel Serve
+
+For more control over server configuration:
+
+```bash
+panel serve survey_dashboard/app.py \
+ --port 5006 \
+ --static-dirs en_files=./survey_dashboard/hmc_layout/static/en_files \
+ --prefix /2021community \
+ --show
+```
+
+### Environment Variables
+
+- `VIRTUAL_PATH` - URL path prefix (default: `/2021community`)
+- `LANGUAGE` - Dashboard language: `EN` or `DE` (default: `EN`)
+
+## Production Deployment
+
+This project includes Docker support for production deployment with automatic HTTPS using Let's Encrypt.
+
+### Docker Deployment
+
+1. **Configure environment variables:**
+ ```bash
+ cp .env.example .env
+ # Edit .env with your domain and settings
+ ```
+
+2. **Build and start containers:**
+ ```bash
+ docker compose up -d --build
+ ```
+
+3. **Access your dashboard:**
+ ```
+ https://your-domain.com/2021community/
+ ```
+
+### Deployment Architecture
+
+The deployment uses:
+- **nginx-proxy**: Automatic reverse proxy with virtual host routing
+- **acme-companion**: Automatic Let's Encrypt SSL certificate management
+- **Dashboard container**: Panel/Bokeh application server
+
+See `docker-compose.yml` and `Dockerfile` for detailed configuration.
+
+## Project Structure
-After installation you can start the app, i.e the panel server/bokeh server.
-```shell
-panel serve --port 50006 survey_dashboard/
```
-If you have given the dashboard a specific layout like the layout specific to HMC, which is on the hmc_specific branch, you might have to link to to a specific template.
-```shell
-panel serve --port 50006 survey_dashboard/ --static-dirs en_files=./survey_dashboard/hmc_layout/static/en_files
+survey_dashboard/
+├── survey_dashboard/ # Main application code
+│ ├── app.py # Main Panel application
+│ ├── scripts.py # CLI entry point
+│ ├── data/ # Data processing modules
+│ ├── ui/ # UI components and layout
+│ ├── i18n/ # Internationalization
+│ └── hmc_layout/ # Templates and static assets
+│ ├── en_template.html # English template
+│ ├── de_template.html # German template
+│ └── static/ # CSS, JS, images
+├── docs/ # Documentation
+│ └── refactoring/ # Architectural documentation
+├── docker-compose.yml # Docker orchestration
+├── Dockerfile # Container build instructions
+├── .env.example # Environment template
+└── pyproject.toml # Python dependencies
+```
+
+## Development
+### Running Tests
+
+```bash
+poetry run pytest
```
-* Navigate to `http://localhost:50006/` in your browser.
+### Code Style
+
+This project uses:
+- Black for code formatting
+- Flake8 for linting
+- MyPy for type checking
-## Deployment
+### Making Changes
-To embed the dashboard into any website, first you have to host a bokeh server with this application somewhere and then you can embed it with bokehs `sever_document` function [see](https://docs.bokeh.org/en/latest/docs/user_guide/embed.html#app-documents)
+1. Create a feature branch
+2. Make your changes
+3. Test locally with `poetry run survey-dashboard`
+4. Test with Docker if deployment-related
+5. Submit a pull request
-Do steps under `usage` above, but for a public exposed URL, or what ever is used for deployment.
-The Language verison of the dashboard can be set with the environment variable: 'L
+## Documentation
+Detailed documentation can be found in the `docs/refactoring/` directory:
+- Architectural overview
+- Module structure
+- Development guide
+- Migration guide
-Add the code from 'script' to you website:
+## Troubleshooting
-```python
-from bokeh.embed import server_document
-script = server_document("url_to_running_server")
-script
+### Port Already in Use
+
+If port 5006 is already in use:
+```bash
+lsof -ti:5006 | xargs kill -9
```
-## Copyright and Licence
+### Docker Issues
+
+Check container logs:
+```bash
+docker compose logs -f dashboard
+```
+
+Rebuild without cache:
+```bash
+docker compose build --no-cache
+```
+
+### Font Loading Issues
+
+Clear browser cache (Ctrl+Shift+Del) or test in incognito mode.
+
+## Technology Stack
+
+### Core Framework
+- **Panel** (1.7.5) - High-level app and dashboarding solution
+- **Bokeh** (3.7.3) - Interactive visualization library
+- **Python** (3.12+) - Programming language
-See [LICENSE](./LICENSE).
+### Data Processing
+- **Pandas** (2.3.2) - Data manipulation
+- **NumPy** (2.3.2) - Numerical computing
-### Main used libraries and dependencies
+### Visualization
+- **Matplotlib** (3.10.6) - Plotting library
+- **WordCloud** (1.9.4) - Word cloud generation
-The following libraries are used directly (i.e. not only transitively) in this project:
+### Web Server
+- **Tornado** (6.5.2) - Async web framework (used by Bokeh)
+### Deployment
+- **Docker** - Containerization
+- **nginx-proxy** - Automatic reverse proxy
+- **acme-companion** - Let's Encrypt automation
+
+## License
+
+See [LICENSE](./LICENSE) for details.
## Acknowledgements
@@ -77,7 +234,41 @@ The following libraries are used directly (i.e. not only transitively) in this p
-This project was developed at the Institute for Materials Data Science and Informatics
-(IAS-9) of the Jülich Research Center and funded by the Helmholtz Metadata Collaboration
-(HMC), an incubator-platform of the Helmholtz Association within the framework of the
-Information and Data Science strategic initiative.
+This project was developed at the **Institute for Materials Data Science and Informatics (IAS-9)** of the Forschungszentrum Jülich and funded by the **Helmholtz Metadata Collaboration (HMC)**, an incubator-platform of the Helmholtz Association within the framework of the Information and Data Science strategic initiative.
+
+## Citation
+
+If you use this dashboard in your research, please cite:
+
+```bibtex
+@software{survey_dashboard,
+ title = {Survey Dashboard},
+ author = {Bröder, Jens and Gerlich, Silke Christine and Hofmann, Volker},
+ year = {2024},
+ url = {https://github.com/Materials-Data-Science-and-Informatics/survey_dashboard},
+ organization = {Forschungszentrum Jülich GmbH}
+}
+```
+
+## Contributing
+
+Contributions are welcome! Please:
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Add tests if applicable
+5. Ensure all tests pass
+6. Submit a pull request
+
+For major changes, please open an issue first to discuss what you would like to change.
+
+## Support
+
+For questions or issues:
+- **GitHub Issues**: [Report a bug or request a feature](https://github.com/Materials-Data-Science-and-Informatics/survey_dashboard/issues)
+- **Email**: Contact the maintainers (see repository contributors)
+
+---
+
+**Last Updated:** November 2024
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 0000000..f262d92
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,146 @@
+# Docker Compose configuration for Survey Dashboard
+# Orchestrates nginx reverse proxy and Panel application containers
+
+version: '3.8'
+
+services:
+ # Panel application container
+ dashboard:
+ build: .
+ # Builds from Dockerfile in current directory
+ # Uses multi-stage build to create optimized production image
+
+ expose:
+ - "5006"
+ # Exposes port 5006 to other containers (not to host machine)
+ # Only accessible within Docker network - nginx can reach it
+
+ restart: unless-stopped
+ # Automatically restart if container crashes
+ # Persists across system reboots unless manually stopped
+
+ environment:
+ - PYTHONUNBUFFERED=1
+ # Ensures Python output is sent directly to logs (not buffered)
+ # Makes 'docker-compose logs' show real-time output
+ - VIRTUAL_HOST=${HOST}
+ # Tells nginx-proxy which domain should route to this container
+ # nginx-proxy watches Docker and auto-configures when it sees this variable
+ - VIRTUAL_PATH=${VIRTUAL_PATH}
+ # Restricts access to only this specific path on the domain
+ # Example: VIRTUAL_PATH=/survey-dashboard means only /survey-dashboard/* is accessible
+ # All other paths on this domain return 404
+ - VIRTUAL_PROTO=http
+ # Protocol nginx-proxy uses to communicate with this container
+ # Uses HTTP inside Docker network (fast, safe), HTTPS for external traffic
+ - LETSENCRYPT_HOST=${HOST}
+ # Tells acme-companion to get SSL certificate for this domain
+ # acme-companion watches Docker and auto-requests certificates when it sees this
+ - LETSENCRYPT_EMAIL=${LETSENCRYPT_EMAIL}
+ # Email for Let's Encrypt certificate notifications
+ # Used for expiry warnings and security notices about your certificates
+
+ # Uncomment to mount local code for development
+ # volumes:
+ # - ./survey_dashboard:/app/survey_dashboard
+
+ # Nginx reverse proxy container with auto-configuration
+ nginx-proxy:
+ container_name: nginx-proxy
+ image: nginxproxy/nginx-proxy:latest
+ # Auto-configuring reverse proxy that watches Docker containers
+ # Automatically generates nginx config based on container environment variables
+
+ ports:
+ - "80:80"
+ # HTTP port - used for ACME challenges and auto-redirect to HTTPS
+ - "443:443"
+ # HTTPS port - secure encrypted connections
+
+ volumes:
+ # nginx-proxy auto-generates configuration based on container env vars
+ # Custom per-domain configs can be placed in ./nginx/vhost.d/
+ - ./nginx/certs:/etc/nginx/certs:ro
+ # SSL certificates storage (read-only for nginx-proxy)
+ # acme-companion writes certificates here, nginx-proxy reads them
+ - ./nginx/vhost.d:/etc/nginx/vhost.d
+ # Per-domain custom nginx configurations
+ # Files named after domains (e.g., survey.example.com) are included in that domain's config
+ - ./nginx/html:/usr/share/nginx/html
+ # Web root for serving ACME challenge files during Let's Encrypt verification
+ # acme-companion creates challenge files here, nginx-proxy serves them
+ - /var/run/docker.sock:/tmp/docker.sock:ro
+ # Docker socket for auto-discovery of containers
+ # nginx-proxy watches for containers with VIRTUAL_HOST env var
+ # Read-only for security (can observe but not control Docker)
+
+ depends_on:
+ - dashboard
+ # Ensures dashboard container starts before nginx-proxy
+ # nginx-proxy needs dashboard to be available for proxying
+
+ restart: unless-stopped
+ # Same restart policy as dashboard
+
+ labels:
+ - "com.github.jrcs.letsencrypt_nginx_proxy_companion.nginx_proxy=true"
+ # Identifies this container as the nginx instance for acme-companion to manage
+ # acme-companion will reload this container when SSL certificates are updated
+
+ # Let's Encrypt certificate management container
+ letsencrypt:
+ container_name: acme-companion
+ image: nginxproxy/acme-companion
+ # ACME protocol client for automatic Let's Encrypt certificate management
+ # Watches for containers with LETSENCRYPT_HOST environment variable
+
+ environment:
+ - NGINX_PROXY_CONTAINER=nginx-proxy
+ # Tells acme-companion which nginx container to reload when certificates update
+ # Must match the container_name of nginx-proxy service
+ - DEFAULT_EMAIL=${LETSENCRYPT_EMAIL}
+ # Default email for Let's Encrypt certificate registration and notifications
+ # Individual containers can override with their own LETSENCRYPT_EMAIL
+ # Used for certificate expiry warnings and security notices
+
+ volumes:
+ - ./nginx/certs:/etc/nginx/certs:rw
+ # SSL certificates storage (read-write for acme-companion)
+ # acme-companion writes new certificates here, nginx-proxy reads them
+ # Note: :rw (not :ro like nginx-proxy) because acme-companion must write certs
+ - ./nginx/vhost.d:/etc/nginx/vhost.d
+ # Per-domain custom nginx configurations
+ # acme-companion may add temporary configs for ACME challenge handling
+ - ./nginx/html:/usr/share/nginx/html
+ # Web root for ACME challenge files
+ # acme-companion creates challenge files here, nginx-proxy serves them to Let's Encrypt
+ - /var/run/docker.sock:/var/run/docker.sock:ro
+ # Docker socket for container discovery and nginx reload
+ # Watches for containers with LETSENCRYPT_HOST environment variable
+ # Sends reload signal to nginx-proxy when certificates update
+ - acme-data:/etc/acme.sh
+ # Named volume for Let's Encrypt account data (NOT a directory)
+ # Stores account credentials, must persist across container restarts
+ # Losing this data means re-registering with Let's Encrypt
+
+ depends_on:
+ - nginx-proxy
+ # Ensures nginx-proxy starts before acme-companion
+ # acme-companion needs nginx-proxy to be running to reload it when certificates update
+
+ restart: unless-stopped
+ # Automatically restart if container crashes
+ # Persists across system reboots unless manually stopped
+ # Critical for certificate renewal - must stay running to renew certs every 90 days
+
+networks:
+ default:
+ # Docker Compose automatically creates a default network
+ # Both containers join this network and can communicate
+ # Service names (dashboard, nginx) work as DNS hostnames
+
+volumes:
+ acme-data:
+ # Named volume for Let's Encrypt account credentials
+ # Docker manages this volume's lifecycle (persists across container removals)
+ # Only destroyed if explicitly deleted with: docker volume rm survey-dashboard_acme-data
diff --git a/docs/LOCAL_TESTING.md b/docs/LOCAL_TESTING.md
new file mode 100644
index 0000000..721bf03
--- /dev/null
+++ b/docs/LOCAL_TESTING.md
@@ -0,0 +1,766 @@
+# Local Testing Guide - Survey Dashboard
+
+This guide explains how to test the Docker deployment setup locally before deploying to production. This helps catch issues early and ensures a smooth production deployment.
+
+---
+
+## Table of Contents
+
+1. [Why Test Locally?](#why-test-locally)
+2. [What You Can Test](#what-you-can-test)
+3. [What You Cannot Test](#what-you-cannot-test)
+4. [Local Testing Setup](#local-testing-setup)
+5. [Testing Scenarios](#testing-scenarios)
+6. [Verification Steps](#verification-steps)
+7. [Troubleshooting](#troubleshooting)
+8. [Cleanup](#cleanup)
+
+---
+
+## Why Test Locally?
+
+Testing locally allows you to:
+
+- ✅ Verify Docker images build successfully
+- ✅ Ensure all containers start without errors
+- ✅ Test that the dashboard is accessible at the correct path
+- ✅ Verify WebSocket connections work
+- ✅ Catch configuration errors before production
+- ✅ Understand the deployment process in a safe environment
+- ✅ Test updates and changes without affecting production
+
+---
+
+## What You Can Test
+
+### ✅ Fully Testable Locally
+
+1. **Docker Build Process**
+ - Multi-stage build completes successfully
+ - No missing dependencies
+ - Application code is copied correctly
+
+2. **Container Startup**
+ - All 3 containers start without errors
+ - Containers communicate via Docker network
+ - Port mappings work correctly
+
+3. **Application Functionality**
+ - Dashboard loads and displays correctly
+ - Interactive elements work (buttons, filters, plots)
+ - WebSocket connections establish successfully
+ - Static files (CSS, JavaScript) load properly
+
+4. **Path Routing**
+ - Dashboard accessible at specified VIRTUAL_PATH
+ - Root path returns expected response
+ - nginx-proxy routing configuration works
+
+5. **Environment Variables**
+ - Variables are read correctly by containers
+ - Panel receives correct --prefix argument
+ - Configuration is applied as expected
+
+---
+
+## What You Cannot Test
+
+### ❌ Not Testable Locally (Requires Production Domain)
+
+1. **HTTPS/SSL Certificates**
+ - Let's Encrypt requires a real domain pointing to a public IP
+ - Cannot acquire valid SSL certificates for localhost
+ - **Workaround:** Test with HTTP only locally
+
+2. **DNS Resolution**
+ - localhost is not a real domain
+ - Cannot test DNS propagation
+ - **Workaround:** Use localhost or 127.0.0.1
+
+3. **Public Internet Access**
+ - Cannot test from external networks
+ - Cannot verify public firewall rules
+ - **Workaround:** Test from local network only
+
+---
+
+## Local Testing Setup
+
+### Prerequisites
+
+Ensure you have installed:
+- Docker Engine (v20.10+)
+- Docker Compose (v2.0+)
+
+Verify installation:
+```bash
+docker --version
+docker-compose --version
+```
+
+### Step 1: Create Local Environment File
+
+Create a `.env.local` file for local testing:
+
+```bash
+cp .env.example .env.local
+```
+
+### Step 2: Configure for Local Testing
+
+Edit `.env.local`:
+
+```bash
+nano .env.local
+```
+
+**Local testing configuration:**
+
+```env
+# Project name
+COMPOSE_PROJECT_NAME=survey-dashboard-local
+
+# Application port (internal)
+APP_PORT=5006
+
+# Nginx ports (external)
+NGINX_PORT=80
+
+# Use localhost for local testing
+# IMPORTANT: HTTPS will NOT work with localhost
+HOST=localhost
+
+# Path where dashboard is accessible
+VIRTUAL_PATH=/2021community
+
+# Dummy email for local testing (not used without real domain)
+LETSENCRYPT_EMAIL=test@localhost
+
+# Python configuration
+PYTHONUNBUFFERED=1
+```
+
+**Key differences from production:**
+- `HOST=localhost` (instead of real domain)
+- `COMPOSE_PROJECT_NAME=survey-dashboard-local` (to avoid conflicts)
+- LETSENCRYPT_EMAIL is dummy (won't be used)
+
+### Step 3: Point Docker Compose to Local Environment
+
+Use the `-f` flag or rename:
+
+**Option A: Use environment file flag**
+```bash
+docker-compose --env-file .env.local up -d
+```
+
+**Option B: Temporarily rename files**
+```bash
+# Backup production .env if it exists
+mv .env .env.production 2>/dev/null || true
+
+# Use local env for testing
+cp .env.local .env
+
+# Run docker-compose
+docker-compose up -d
+
+# After testing, restore production .env
+mv .env.production .env 2>/dev/null || true
+```
+
+I'll use **Option A** in this guide (safer, no file renaming).
+
+---
+
+## Testing Scenarios
+
+### Scenario 1: Basic HTTP Deployment Test
+
+**Goal:** Verify all containers start and dashboard is accessible via HTTP.
+
+**Steps:**
+
+1. **Start containers with local environment:**
+ ```bash
+ docker-compose --env-file .env.local up -d --build
+ ```
+
+2. **Verify containers are running:**
+ ```bash
+ docker-compose ps
+ ```
+
+ Expected output:
+ ```
+ NAME STATUS
+ survey-dashboard-local_dashboard_1 Up
+ nginx-proxy Up
+ acme-companion Up
+ ```
+
+3. **Check dashboard logs:**
+ ```bash
+ docker-compose logs dashboard
+ ```
+
+ Look for:
+ ```
+ Starting HMC Survey Dashboard in PRODUCTION mode...
+ Using URL prefix: /2021community
+ Dashboard will be accessible at: http://0.0.0.0:5006/2021community
+ ```
+
+4. **Check nginx-proxy logs:**
+ ```bash
+ docker-compose logs nginx-proxy | grep localhost
+ ```
+
+ Should show nginx-proxy detected your container.
+
+5. **Test HTTP access:**
+ ```bash
+ curl -I http://localhost/2021community/
+ ```
+
+ Expected: `HTTP/1.1 200 OK` or `HTTP/1.1 302 Found` (redirect)
+
+6. **Open in browser:**
+ ```
+ http://localhost/2021community/
+ ```
+
+ Dashboard should load with full functionality.
+
+**Expected Result:** ✅ Dashboard accessible, interactive, no errors
+
+---
+
+### Scenario 2: Path Restriction Test
+
+**Goal:** Verify that only the specified path is accessible, others return 404.
+
+**Steps:**
+
+1. **Test the correct path (should work):**
+ ```bash
+ curl -I http://localhost/2021community
+ ```
+
+ Expected: `HTTP/1.1 200 OK`
+
+2. **Test root path (should fail):**
+ ```bash
+ curl -I http://localhost/
+ ```
+
+ Expected: `HTTP/1.1 404 Not Found` or `HTTP/1.1 503 Service Unavailable`
+
+ (503 is also acceptable - means nginx-proxy has no backend for root path)
+
+3. **Test wrong path (should fail):**
+ ```bash
+ curl -I http://localhost/wrong-path
+ ```
+
+ Expected: `HTTP/1.1 404 Not Found`
+
+4. **Browser test:**
+ - Visit `http://localhost/2021community/` → Should load ✅
+ - Visit `http://localhost/` → Should show 404 or 503 ✅
+ - Visit `http://localhost/other` → Should show 404 ✅
+
+**Expected Result:** ✅ Only `/2021community/` path is accessible
+
+---
+
+### Scenario 3: WebSocket Connection Test
+
+**Goal:** Verify WebSocket connections work correctly for Panel interactivity.
+
+**Steps:**
+
+1. **Open dashboard in browser:**
+ ```
+ http://localhost/2021community/
+ ```
+
+2. **Open browser DevTools (F12)**
+
+3. **Go to Network tab**
+
+4. **Filter by "WS" (WebSocket)**
+
+5. **Interact with dashboard** (click filters, buttons)
+
+**Expected Result:**
+- ✅ WebSocket connection established (Status: 101 Switching Protocols)
+- ✅ Messages flowing in both directions
+- ✅ Interactive elements respond immediately
+- ✅ No WebSocket errors in console
+
+**If WebSocket fails:**
+- Check `nginx/vhost.d/default` file exists
+- Check nginx-proxy logs for errors
+- Restart nginx-proxy: `docker-compose restart nginx-proxy`
+
+---
+
+### Scenario 4: Container Restart and Persistence Test
+
+**Goal:** Verify containers restart properly and maintain state.
+
+**Steps:**
+
+1. **Stop all containers:**
+ ```bash
+ docker-compose --env-file .env.local down
+ ```
+
+2. **Verify containers stopped:**
+ ```bash
+ docker-compose ps
+ ```
+
+ Should show no running containers.
+
+3. **Start containers again:**
+ ```bash
+ docker-compose --env-file .env.local up -d
+ ```
+
+4. **Verify dashboard accessible:**
+ ```bash
+ curl -I http://localhost/2021community
+ ```
+
+5. **Check logs for clean startup:**
+ ```bash
+ docker-compose logs dashboard | tail -20
+ ```
+
+**Expected Result:** ✅ Clean restart, dashboard immediately accessible
+
+---
+
+### Scenario 5: Build Cache and Rebuild Test
+
+**Goal:** Test that rebuilds work correctly (for code updates).
+
+**Steps:**
+
+1. **Make a small change to code** (e.g., add a comment):
+ ```bash
+ echo "# Test change" >> survey_dashboard/scripts.py
+ ```
+
+2. **Rebuild and restart:**
+ ```bash
+ docker-compose --env-file .env.local up -d --build
+ ```
+
+3. **Verify change is reflected:**
+ ```bash
+ docker-compose exec dashboard cat /app/survey_dashboard/scripts.py | tail -5
+ ```
+
+4. **Test dashboard still works:**
+ ```bash
+ curl -I http://localhost/2021community
+ ```
+
+5. **Undo test change:**
+ ```bash
+ git checkout survey_dashboard/scripts.py
+ ```
+
+**Expected Result:** ✅ Rebuild completes, changes reflected, dashboard works
+
+---
+
+### Scenario 6: Different VIRTUAL_PATH Test
+
+**Goal:** Test that changing the path works correctly.
+
+**Steps:**
+
+1. **Stop containers:**
+ ```bash
+ docker-compose --env-file .env.local down
+ ```
+
+2. **Edit .env.local to use different path:**
+ ```bash
+ # Change VIRTUAL_PATH=/2021community to VIRTUAL_PATH=/test-path
+ sed -i 's|VIRTUAL_PATH=/2021community|VIRTUAL_PATH=/test-path|' .env.local
+ ```
+
+3. **Start with new path:**
+ ```bash
+ docker-compose --env-file .env.local up -d --build
+ ```
+
+4. **Test new path:**
+ ```bash
+ curl -I http://localhost/test-path
+ ```
+
+ Expected: `HTTP/1.1 200 OK`
+
+5. **Test old path no longer works:**
+ ```bash
+ curl -I http://localhost/2021community
+ ```
+
+ Expected: `HTTP/1.1 404 Not Found`
+
+6. **Restore original path:**
+ ```bash
+ sed -i 's|VIRTUAL_PATH=/test-path|VIRTUAL_PATH=/2021community|' .env.local
+ docker-compose --env-file .env.local down
+ ```
+
+**Expected Result:** ✅ Path change works, old path inaccessible
+
+---
+
+### Scenario 7: Port Conflict Test
+
+**Goal:** Test behavior when port 80 is already in use.
+
+**Steps:**
+
+1. **Check if port 80 is available:**
+ ```bash
+ sudo lsof -i :80
+ ```
+
+2. **If port 80 is in use, use alternative port:**
+
+ Edit `.env.local`:
+ ```env
+ NGINX_PORT=8080
+ ```
+
+3. **Update docker-compose ports** (temporary test):
+ ```bash
+ # This requires editing docker-compose.yml temporarily
+ # Change: "80:80" to "8080:80"
+ ```
+
+4. **Start containers:**
+ ```bash
+ docker-compose --env-file .env.local up -d
+ ```
+
+5. **Test on new port:**
+ ```bash
+ curl -I http://localhost:8080/2021community
+ ```
+
+**Expected Result:** ✅ Works on alternative port
+
+**Note:** In production, you need port 80 for Let's Encrypt. This test just verifies flexibility.
+
+---
+
+## Verification Steps
+
+### Complete Local Testing Checklist
+
+Run through this checklist to ensure everything works:
+
+- [ ] Docker images build without errors
+- [ ] All 3 containers start successfully
+- [ ] `docker-compose ps` shows all containers "Up"
+- [ ] Dashboard logs show production mode with correct prefix
+- [ ] nginx-proxy logs show configuration for localhost
+- [ ] HTTP access works: `curl http://localhost/2021community/`
+- [ ] Browser loads dashboard at `http://localhost/2021community/`
+- [ ] Dashboard displays correctly with styling
+- [ ] Interactive elements work (buttons, filters, plots)
+- [ ] Browser console shows no errors (F12)
+- [ ] WebSocket connection established (Network tab)
+- [ ] Root path blocked: `http://localhost/` returns 404/503
+- [ ] Other paths blocked: `http://localhost/other` returns 404
+- [ ] Containers restart cleanly: `docker-compose down && up -d`
+- [ ] Rebuild works: `docker-compose up -d --build`
+
+If all items are checked ✅, your setup is ready for production!
+
+---
+
+## Troubleshooting
+
+### Issue 1: Port 80 Already in Use
+
+**Error:**
+```
+Error starting userland proxy: listen tcp4 0.0.0.0:80: bind: address already in use
+```
+
+**Cause:** Another service (Apache, nginx, etc.) is using port 80.
+
+**Solutions:**
+
+**Option A: Stop the conflicting service**
+```bash
+# Find what's using port 80
+sudo lsof -i :80
+
+# Stop Apache (example)
+sudo systemctl stop apache2
+
+# Or stop nginx
+sudo systemctl stop nginx
+```
+
+**Option B: Use a different port for testing**
+```bash
+# Edit .env.local
+NGINX_PORT=8080
+
+# Access via: http://localhost:8080/2021community
+```
+
+### Issue 2: Dashboard Container Exits Immediately
+
+**Check logs:**
+```bash
+docker-compose logs dashboard
+```
+
+**Common causes:**
+
+1. **Python error in code:**
+ - Look for Python tracebacks in logs
+ - Fix syntax or import errors
+
+2. **Missing dependencies:**
+ - Rebuild: `docker-compose up -d --build`
+
+3. **Wrong command:**
+ - Check Dockerfile CMD is correct
+ - Verify scripts.py is executable
+
+### Issue 3: 502 Bad Gateway
+
+**Cause:** nginx-proxy can't reach dashboard container.
+
+**Steps:**
+
+1. **Check dashboard is running:**
+ ```bash
+ docker-compose ps dashboard
+ ```
+
+2. **Check dashboard logs for errors:**
+ ```bash
+ docker-compose logs dashboard
+ ```
+
+3. **Verify containers are on same network:**
+ ```bash
+ docker network inspect survey-dashboard-local_default
+ ```
+
+ Should show both nginx-proxy and dashboard.
+
+4. **Restart both containers:**
+ ```bash
+ docker-compose restart nginx-proxy dashboard
+ ```
+
+### Issue 4: WebSockets Not Working
+
+**Symptoms:** Dashboard loads but buttons/filters don't work.
+
+**Steps:**
+
+1. **Check vhost.d/default exists:**
+ ```bash
+ ls -la nginx/vhost.d/default
+ ```
+
+2. **Verify WebSocket config content:**
+ ```bash
+ cat nginx/vhost.d/default
+ ```
+
+ Should contain:
+ ```
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ ```
+
+3. **Restart nginx-proxy:**
+ ```bash
+ docker-compose restart nginx-proxy
+ ```
+
+4. **Check browser console (F12):**
+ - Look for WebSocket connection errors
+ - Should see successful WS connection
+
+### Issue 5: Changes Not Reflected After Rebuild
+
+**Cause:** Docker using cached layers.
+
+**Solution:**
+
+```bash
+# Force complete rebuild without cache
+docker-compose build --no-cache
+
+# Or rebuild specific service
+docker-compose build --no-cache dashboard
+
+# Then restart
+docker-compose up -d
+```
+
+### Issue 6: acme-companion Logs Show Errors
+
+**This is NORMAL for local testing!**
+
+acme-companion will show errors like:
+```
+ERROR: localhost is not a valid domain for Let's Encrypt
+```
+
+**Why:** Let's Encrypt requires a real domain. This is expected with `HOST=localhost`.
+
+**Solution:** Ignore these errors during local testing. They won't occur in production with a real domain.
+
+---
+
+## Cleanup
+
+### Stop and Remove Containers
+
+```bash
+# Stop containers (preserves volumes)
+docker-compose --env-file .env.local down
+
+# Stop and remove volumes (complete cleanup)
+docker-compose --env-file .env.local down -v
+```
+
+### Remove Local Testing Environment File
+
+```bash
+rm .env.local
+```
+
+### Remove Docker Images (Optional)
+
+```bash
+# List images
+docker images | grep survey-dashboard
+
+# Remove specific image
+docker rmi survey-dashboard-local_dashboard
+
+# Remove all unused images
+docker image prune -a
+```
+
+### Clean Up Nginx Directories
+
+If you want to start fresh:
+
+```bash
+# Remove generated nginx files (certificates, etc.)
+rm -rf nginx/certs/*
+rm -rf nginx/html/*
+
+# Keep vhost.d/default (it's part of your config)
+```
+
+---
+
+## Key Differences: Local vs Production
+
+| Aspect | Local Testing | Production |
+|--------|---------------|------------|
+| Domain | `localhost` | Real domain (e.g., `dashboard.survey.helmholtz-metadaten.de`) |
+| HTTPS | ❌ Not available | ✅ Let's Encrypt SSL |
+| Protocol | HTTP only | HTTPS (HTTP redirects to HTTPS) |
+| Certificate | None | Valid Let's Encrypt certificate |
+| Access | Only from local machine | Accessible from internet |
+| DNS | Not needed | Must be configured |
+| Firewall | Not needed | Ports 80, 443 must be open |
+| Email | Dummy value | Real email for notifications |
+
+---
+
+## What to Test Before Production
+
+### Critical Tests ✅
+
+Run these tests locally before production deployment:
+
+1. **Docker Build:** `docker-compose build` completes without errors
+2. **Container Startup:** All 3 containers start and stay running
+3. **Dashboard Access:** Dashboard loads at correct path
+4. **Path Routing:** Only specified path accessible, others blocked
+5. **WebSockets:** Interactive elements work (check browser DevTools)
+6. **Rebuild:** Code changes reflected after rebuild
+7. **Restart:** Clean restart after `down` and `up`
+
+### Cannot Test Locally ⚠️
+
+These can only be tested in production:
+
+1. **SSL/HTTPS:** Requires real domain
+2. **Let's Encrypt:** Certificate acquisition
+3. **DNS Resolution:** Public DNS records
+4. **External Access:** Access from internet
+5. **Auto-renewal:** Certificate renewal after 60 days
+
+---
+
+## Quick Test Commands
+
+```bash
+# Start local test environment
+docker-compose --env-file .env.local up -d --build
+
+# Check status
+docker-compose ps
+
+# Test HTTP access
+curl -I http://localhost/2021community/
+
+# Test root path is blocked
+curl -I http://localhost/
+
+# View logs
+docker-compose logs -f dashboard
+
+# Stop and clean up
+docker-compose --env-file .env.local down
+
+# Complete cleanup (removes volumes too)
+docker-compose --env-file .env.local down -v
+```
+
+---
+
+## Next Steps After Successful Local Testing
+
+Once all local tests pass:
+
+1. ✅ Review DEPLOYMENT.md for production steps
+2. ✅ Ensure you have a real domain and it points to your VM
+3. ✅ Create production `.env` file with real values
+4. ✅ Follow DEPLOYMENT.md step-by-step on production VM
+5. ✅ Monitor Let's Encrypt certificate acquisition
+6. ✅ Verify HTTPS access works in production
+
+---
+
+**Last Updated:** 2024-11-03
+**Purpose:** Local testing before production deployment
+**Environment:** Docker Compose on local development machine
diff --git a/survey_dashboard/devel_plots.ipynb b/docs/notebooks/devel_plots.ipynb
similarity index 95%
rename from survey_dashboard/devel_plots.ipynb
rename to docs/notebooks/devel_plots.ipynb
index 81d1838..a3a6b3b 100644
--- a/survey_dashboard/devel_plots.ipynb
+++ b/docs/notebooks/devel_plots.ipynb
@@ -63,287 +63,8 @@
},
{
"data": {
- "application/javascript": [
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- " function now() {\n",
- " return new Date();\n",
- " }\n",
- "\n",
- " const force = true;\n",
- "\n",
- " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
- " root._bokeh_onload_callbacks = [];\n",
- " root._bokeh_is_loading = undefined;\n",
- " }\n",
- "\n",
- "const JS_MIME_TYPE = 'application/javascript';\n",
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- " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
- " const CLASS_NAME = 'output_bokeh rendered_html';\n",
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- " */\n",
- " function render(props, node) {\n",
- " const script = document.createElement(\"script\");\n",
- " node.appendChild(script);\n",
- " }\n",
- "\n",
- " /**\n",
- " * Handle when an output is cleared or removed\n",
- " */\n",
- " function handleClearOutput(event, handle) {\n",
- " const cell = handle.cell;\n",
- "\n",
- " const id = cell.output_area._bokeh_element_id;\n",
- " const server_id = cell.output_area._bokeh_server_id;\n",
- " // Clean up Bokeh references\n",
- " if (id != null && id in Bokeh.index) {\n",
- " Bokeh.index[id].model.document.clear();\n",
- " delete Bokeh.index[id];\n",
- " }\n",
- "\n",
- " if (server_id !== undefined) {\n",
- " // Clean up Bokeh references\n",
- " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
- " cell.notebook.kernel.execute(cmd_clean, {\n",
- " iopub: {\n",
- " output: function(msg) {\n",
- " const id = msg.content.text.trim();\n",
- " if (id in Bokeh.index) {\n",
- " Bokeh.index[id].model.document.clear();\n",
- " delete Bokeh.index[id];\n",
- " }\n",
- " }\n",
- " }\n",
- " });\n",
- " // Destroy server and session\n",
- " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
- " cell.notebook.kernel.execute(cmd_destroy);\n",
- " }\n",
- " }\n",
- "\n",
- " /**\n",
- " * Handle when a new output is added\n",
- " */\n",
- " function handleAddOutput(event, handle) {\n",
- " const output_area = handle.output_area;\n",
- " const output = handle.output;\n",
- "\n",
- " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
- " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
- " return\n",
- " }\n",
- "\n",
- " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
- "\n",
- " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
- " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
- " // store reference to embed id on output_area\n",
- " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
- " }\n",
- " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
- " const bk_div = document.createElement(\"div\");\n",
- " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " const script_attrs = bk_div.children[0].attributes;\n",
- " for (let i = 0; i < script_attrs.length; i++) {\n",
- " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
- " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
- " }\n",
- " // store reference to server id on output_area\n",
- " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
- " }\n",
- " }\n",
- "\n",
- " function register_renderer(events, OutputArea) {\n",
- "\n",
- " function append_mime(data, metadata, element) {\n",
- " // create a DOM node to render to\n",
- " const toinsert = this.create_output_subarea(\n",
- " metadata,\n",
- " CLASS_NAME,\n",
- " EXEC_MIME_TYPE\n",
- " );\n",
- " this.keyboard_manager.register_events(toinsert);\n",
- " // Render to node\n",
- " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
- " render(props, toinsert[toinsert.length - 1]);\n",
- " element.append(toinsert);\n",
- " return toinsert\n",
- " }\n",
- "\n",
- " /* Handle when an output is cleared or removed */\n",
- " events.on('clear_output.CodeCell', handleClearOutput);\n",
- " events.on('delete.Cell', handleClearOutput);\n",
- "\n",
- " /* Handle when a new output is added */\n",
- " events.on('output_added.OutputArea', handleAddOutput);\n",
- "\n",
- " /**\n",
- " * Register the mime type and append_mime function with output_area\n",
- " */\n",
- " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
- " /* Is output safe? */\n",
- " safe: true,\n",
- " /* Index of renderer in `output_area.display_order` */\n",
- " index: 0\n",
- " });\n",
- " }\n",
- "\n",
- " // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
- " if (root.Jupyter !== undefined) {\n",
- " const events = require('base/js/events');\n",
- " const OutputArea = require('notebook/js/outputarea').OutputArea;\n",
- "\n",
- " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
- " register_renderer(events, OutputArea);\n",
- " }\n",
- " }\n",
- " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
- " root._bokeh_timeout = Date.now() + 5000;\n",
- " root._bokeh_failed_load = false;\n",
- " }\n",
- "\n",
- " const NB_LOAD_WARNING = {'data': {'text/html':\n",
- " \"
\\n\"+\n",
- " \"
\\n\"+\n",
- " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
- " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
- " \"
\\n\"+\n",
- " \"
\\n\"+\n",
- " \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"33756\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.13.1/dist/panel.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"33756\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
+ "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
Category: Data source, Repository Name: Zenodo URL: ['https://zenodo.org/'] Other names ['Zenodo', 'Research. Shared'] Description: ZENODO builds and operates a simple and innovative service that enables researchers, scientists, EU projects and institutions to share and showcase multidisciplinary research results (data and publications) that are not part of the existing institutional or subject-based repositories of the research communities. ZENODO enables researchers, scientists, EU projects and institutions to: easily share the long tail of small research results in a wide variety of formats including text, spreadsheets, audio, video, and images across all fields of science. display their research results and get credited by making the research results citable and integrate them into existing reporting lines to funding agencies like the European Commission. easily access and reuse shared research results. Keywords: ['FAIR', 'multidisciplinary', '1 Humanities and Social Sciences', '2 Life Sciences', '3 Natural Sciences', '4 Engineering Sciences'] \\\" + \\\"(\\\" + args.join(\\\", \\\") + \\\")\\\\n\\\";\\n const text = line;\\n const lines = text.split(\\\"\\\\n\\\")\\n if (lines.length > 35)\\n lines.shift();\\n div.text = lines.join(\\\"\\\\n\\\");\\n \"},\"id\":\"40796\",\"type\":\"CustomJS\"},{\"attributes\":{\"angle\":{\"field\":\"angle\",\"units\":\"deg\"},\"text_color\":{\"field\":\"color\"},\"text_font\":{\"value\":\"'Droid Sans Mono'\"},\"text_font_size\":{\"field\":\"font_size\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"40788\",\"type\":\"Text\"},{\"attributes\":{},\"id\":\"40779\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"40770\"},\"glyph\":{\"id\":\"40788\"},\"group\":null,\"hover_glyph\":null,\"view\":{\"id\":\"40790\"}},\"id\":\"40789\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"40791\"}},\"code\":\"\\n const attrs = [];\\n const args = [];\\n const line = \\\"\\\" + \\\"Basic resource information (metadata)
Category: Data source, Repository Name: Zenodo URL: ['https://zenodo.org/'] Other names ['Zenodo', 'Research. Shared'] Description: ZENODO builds and operates a simple and innovative service that enables researchers, scientists, EU projects and institutions to share and showcase multidisciplinary research results (data and publications) that are not part of the existing institutional or subject-based repositories of the research communities. ZENODO enables researchers, scientists, EU projects and institutions to: easily share the long tail of small research results in a wide variety of formats including text, spreadsheets, audio, video, and images across all fields of science. display their research results and get credited by making the research results citable and integrate them into existing reporting lines to funding agencies like the European Commission. easily access and reuse shared research results. Keywords: ['FAIR', 'multidisciplinary', '1 Humanities and Social Sciences', '2 Life Sciences', '3 Natural Sciences', '4 Engineering Sciences'] \\\" + \\\"(\\\" + args.join(\\\", \\\") + \\\")\\\\n\\\";\\n const text = line;\\n const lines = text.split(\\\"\\\\n\\\")\\n if (lines.length > 35)\\n lines.shift();\\n div.text = lines.join(\\\"\\\\n\\\");\\n \"},\"id\":\"40795\",\"type\":\"CustomJS\"},{\"attributes\":{\"callback\":null},\"id\":\"40784\",\"type\":\"TapTool\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"40791\"}},\"code\":\"\\n const attrs = [];\\n const args = [];\\n const line = \\\"\\\" + \\\"Basic resource information (metadata)
Category: Data source, Repository Name: Zenodo URL: ['https://zenodo.org/'] Other names ['Zenodo', 'Research. Shared'] Description: ZENODO builds and operates a simple and innovative service that enables researchers, scientists, EU projects and institutions to share and showcase multidisciplinary research results (data and publications) that are not part of the existing institutional or subject-based repositories of the research communities. ZENODO enables researchers, scientists, EU projects and institutions to: easily share the long tail of small research results in a wide variety of formats including text, spreadsheets, audio, video, and images across all fields of science. display their research results and get credited by making the research results citable and integrate them into existing reporting lines to funding agencies like the European Commission. easily access and reuse shared research results. Keywords: ['FAIR', 'multidisciplinary', '1 Humanities and Social Sciences', '2 Life Sciences', '3 Natural Sciences', '4 Engineering Sciences'] \\\" + \\\"(\\\" + args.join(\\\", \\\") + \\\")\\\\n\\\";\\n const text = line;\\n const lines = text.split(\\\"\\\\n\\\")\\n if (lines.length > 35)\\n lines.shift();\\n div.text = lines.join(\\\"\\\\n\\\");\\n \"},\"id\":\"40794\",\"type\":\"CustomJS\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"\",\"@text\"]]},\"id\":\"40783\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"41278\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"41279\",\"type\":\"Selection\"},{\"attributes\":{\"height\":500,\"js_event_callbacks\":{\"doubletap\":[{\"id\":\"40795\"}],\"press\":[{\"id\":\"40796\"}],\"tap\":[{\"id\":\"40794\"}]},\"outline_line_color\":null,\"renderers\":[{\"id\":\"40789\"}],\"title\":{\"id\":\"40773\"},\"toolbar\":{\"id\":\"40785\"},\"toolbar_location\":null,\"width\":800,\"x_range\":{\"id\":\"40775\"},\"x_scale\":{\"id\":\"40779\"},\"y_range\":{\"id\":\"40777\"},\"y_scale\":{\"id\":\"40781\"}},\"id\":\"40772\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"40781\",\"type\":\"LinearScale\"}],\"root_ids\":[\"40793\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
- " const render_items = [{\"docid\":\"228fbc7c-d827-46ec-a478-9626c245777d\",\"root_ids\":[\"40793\"],\"roots\":{\"40793\":\"93d8cc67-8532-4a7a-b785-97364e58ab0b\"}}];\n",
- " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
- " }\n",
- " if (root.Bokeh !== undefined) {\n",
- " embed_document(root);\n",
- " } else {\n",
- " let attempts = 0;\n",
- " const timer = setInterval(function(root) {\n",
- " if (root.Bokeh !== undefined) {\n",
- " clearInterval(timer);\n",
- " embed_document(root);\n",
- " } else {\n",
- " attempts++;\n",
- " if (attempts > 100) {\n",
- " clearInterval(timer);\n",
- " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
- " }\n",
- " }\n",
- " }, 10, root)\n",
- " }\n",
- "})(window);"
- ],
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@@ -3671,7 +2447,7 @@
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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -5332,32 +4108,7 @@
},
{
"data": {
- "application/javascript": [
- "(function(root) {\n",
- " function embed_document(root) {\n",
- " const docs_json = {\"2224d443-8f0e-4b7c-8bb6-d33a991e0067\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"10214\"}],\"center\":[{\"id\":\"10217\"},{\"id\":\"10221\"}],\"height\":300,\"left\":[{\"id\":\"10218\"}],\"renderers\":[{\"id\":\"10228\"}],\"title\":{\"id\":\"10204\"},\"toolbar\":{\"id\":\"10224\"},\"toolbar_location\":\"above\",\"width\":300,\"x_range\":{\"id\":\"10206\"},\"x_scale\":{\"id\":\"10210\"},\"y_range\":{\"id\":\"10208\"},\"y_scale\":{\"id\":\"10212\"}},\"id\":\"10203\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"10489\",\"type\":\"AllLabels\"},{\"attributes\":{\"source\":{\"id\":\"10202\"}},\"id\":\"10229\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"10490\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"data\":{\"text\":[\"abc\",\"def\",\"ghi\",\"jkl\",\"mno\",\"pqr\",\"stu\",\"vwx\",\"yz\"],\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"10491\"},\"selection_policy\":{\"id\":\"10490\"}},\"id\":\"10202\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"10223\",\"type\":\"SaveTool\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"10488\"},\"group\":null,\"major_label_policy\":{\"id\":\"10489\"},\"ticker\":{\"id\":\"10215\"}},\"id\":\"10214\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"10491\",\"type\":\"Selection\"},{\"attributes\":{\"angle\":{\"units\":\"deg\",\"value\":90},\"text_color\":{\"value\":\"#96deb3\"},\"text_font_size\":{\"value\":\"40px\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"10227\",\"type\":\"Text\"},{\"attributes\":{},\"id\":\"10206\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"10210\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"Da\"},\"id\":\"10204\",\"type\":\"Title\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"10485\"},\"group\":null,\"major_label_policy\":{\"id\":\"10486\"},\"ticker\":{\"id\":\"10219\"}},\"id\":\"10218\",\"type\":\"LinearAxis\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"10202\"},\"glyph\":{\"id\":\"10227\"},\"group\":null,\"hover_glyph\":null,\"view\":{\"id\":\"10229\"}},\"id\":\"10228\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"10215\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"10214\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"10217\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"10212\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"10208\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"10222\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"10485\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"10218\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"10221\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"10219\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"10486\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"10488\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"tools\":[{\"id\":\"10222\"},{\"id\":\"10223\"}]},\"id\":\"10224\",\"type\":\"Toolbar\"}],\"root_ids\":[\"10203\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
- " const render_items = [{\"docid\":\"2224d443-8f0e-4b7c-8bb6-d33a991e0067\",\"root_ids\":[\"10203\"],\"roots\":{\"10203\":\"6c172116-99b3-4f36-9553-9ea1ce6f6831\"}}];\n",
- " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
- " }\n",
- " if (root.Bokeh !== undefined) {\n",
- " embed_document(root);\n",
- " } else {\n",
- " let attempts = 0;\n",
- " const timer = setInterval(function(root) {\n",
- " if (root.Bokeh !== undefined) {\n",
- " clearInterval(timer);\n",
- " embed_document(root);\n",
- " } else {\n",
- " attempts++;\n",
- " if (attempts > 100) {\n",
- " clearInterval(timer);\n",
- " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
- " }\n",
- " }\n",
- " }, 10, root)\n",
- " }\n",
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},
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diff --git a/survey_dashboard/survey_dashboard.ipynb b/docs/notebooks/survey_dashboard.ipynb
similarity index 59%
rename from survey_dashboard/survey_dashboard.ipynb
rename to docs/notebooks/survey_dashboard.ipynb
index 5afc6e1..fb412f1 100644
--- a/survey_dashboard/survey_dashboard.ipynb
+++ b/docs/notebooks/survey_dashboard.ipynb
@@ -141,426 +141,16 @@
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},
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- " for (var j in nodemap) {\n",
- " if (nodemap.hasOwnProperty(j)) {\n",
- " attrs.push(nodemap[j])\n",
- " }\n",
- " }\n",
- " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
- " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
- " oldScript.parentNode.replaceChild(newScript, oldScript);\n",
- " });\n",
- " if (JS_MIME_TYPE in output.data) {\n",
- " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
- " }\n",
- " output_area._hv_plot_id = id;\n",
- " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
- " window.PyViz.plot_index[id] = Bokeh.index[id];\n",
- " } else {\n",
- " window.PyViz.plot_index[id] = null;\n",
- " }\n",
- " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
- " var bk_div = document.createElement(\"div\");\n",
- " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " var script_attrs = bk_div.children[0].attributes;\n",
- " for (var i = 0; i < script_attrs.length; i++) {\n",
- " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
- " }\n",
- " // store reference to server id on output_area\n",
- " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle when an output is cleared or removed\n",
- " */\n",
- "function handle_clear_output(event, handle) {\n",
- " var id = handle.cell.output_area._hv_plot_id;\n",
- " var server_id = handle.cell.output_area._bokeh_server_id;\n",
- " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
- " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
- " if (server_id !== null) {\n",
- " comm.send({event_type: 'server_delete', 'id': server_id});\n",
- " return;\n",
- " } else if (comm !== null) {\n",
- " comm.send({event_type: 'delete', 'id': id});\n",
- " }\n",
- " delete PyViz.plot_index[id];\n",
- " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
- " var doc = window.Bokeh.index[id].model.document\n",
- " doc.clear();\n",
- " const i = window.Bokeh.documents.indexOf(doc);\n",
- " if (i > -1) {\n",
- " window.Bokeh.documents.splice(i, 1);\n",
- " }\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle kernel restart event\n",
- " */\n",
- "function handle_kernel_cleanup(event, handle) {\n",
- " delete PyViz.comms[\"hv-extension-comm\"];\n",
- " window.PyViz.plot_index = {}\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle update_display_data messages\n",
- " */\n",
- "function handle_update_output(event, handle) {\n",
- " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
- " handle_add_output(event, handle)\n",
- "}\n",
- "\n",
- "function register_renderer(events, OutputArea) {\n",
- " function append_mime(data, metadata, element) {\n",
- " // create a DOM node to render to\n",
- " var toinsert = this.create_output_subarea(\n",
- " metadata,\n",
- " CLASS_NAME,\n",
- " EXEC_MIME_TYPE\n",
- " );\n",
- " this.keyboard_manager.register_events(toinsert);\n",
- " // Render to node\n",
- " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
- " render(props, toinsert[0]);\n",
- " element.append(toinsert);\n",
- " return toinsert\n",
- " }\n",
- "\n",
- " events.on('output_added.OutputArea', handle_add_output);\n",
- " events.on('output_updated.OutputArea', handle_update_output);\n",
- " events.on('clear_output.CodeCell', handle_clear_output);\n",
- " events.on('delete.Cell', handle_clear_output);\n",
- " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
- "\n",
- " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
- " safe: true,\n",
- " index: 0\n",
- " });\n",
- "}\n",
- "\n",
- "if (window.Jupyter !== undefined) {\n",
- " try {\n",
- " var events = require('base/js/events');\n",
- " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
- " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
- " register_renderer(events, OutputArea);\n",
- " }\n",
- " } catch(err) {\n",
- " }\n",
- "}\n"
- ],
- "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
+ "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n",
+ "application/vnd.holoviews_load.v0+json": ""
},
"metadata": {},
"output_type": "display_data"
@@ -604,287 +194,8 @@
},
{
"data": {
- "application/javascript": [
- "(function(root) {\n",
- " function now() {\n",
- " return new Date();\n",
- " }\n",
- "\n",
- " const force = true;\n",
- "\n",
- " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
- " root._bokeh_onload_callbacks = [];\n",
- " root._bokeh_is_loading = undefined;\n",
- " }\n",
- "\n",
- "const JS_MIME_TYPE = 'application/javascript';\n",
- " const HTML_MIME_TYPE = 'text/html';\n",
- " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
- " const CLASS_NAME = 'output_bokeh rendered_html';\n",
- "\n",
- " /**\n",
- " * Render data to the DOM node\n",
- " */\n",
- " function render(props, node) {\n",
- " const script = document.createElement(\"script\");\n",
- " node.appendChild(script);\n",
- " }\n",
- "\n",
- " /**\n",
- " * Handle when an output is cleared or removed\n",
- " */\n",
- " function handleClearOutput(event, handle) {\n",
- " const cell = handle.cell;\n",
- "\n",
- " const id = cell.output_area._bokeh_element_id;\n",
- " const server_id = cell.output_area._bokeh_server_id;\n",
- " // Clean up Bokeh references\n",
- " if (id != null && id in Bokeh.index) {\n",
- " Bokeh.index[id].model.document.clear();\n",
- " delete Bokeh.index[id];\n",
- " }\n",
- "\n",
- " if (server_id !== undefined) {\n",
- " // Clean up Bokeh references\n",
- " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
- " cell.notebook.kernel.execute(cmd_clean, {\n",
- " iopub: {\n",
- " output: function(msg) {\n",
- " const id = msg.content.text.trim();\n",
- " if (id in Bokeh.index) {\n",
- " Bokeh.index[id].model.document.clear();\n",
- " delete Bokeh.index[id];\n",
- " }\n",
- " }\n",
- " }\n",
- " });\n",
- " // Destroy server and session\n",
- " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
- " cell.notebook.kernel.execute(cmd_destroy);\n",
- " }\n",
- " }\n",
- "\n",
- " /**\n",
- " * Handle when a new output is added\n",
- " */\n",
- " function handleAddOutput(event, handle) {\n",
- " const output_area = handle.output_area;\n",
- " const output = handle.output;\n",
- "\n",
- " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
- " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
- " return\n",
- " }\n",
- "\n",
- " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
- "\n",
- " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
- " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
- " // store reference to embed id on output_area\n",
- " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
- " }\n",
- " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
- " const bk_div = document.createElement(\"div\");\n",
- " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " const script_attrs = bk_div.children[0].attributes;\n",
- " for (let i = 0; i < script_attrs.length; i++) {\n",
- " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
- " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
- " }\n",
- " // store reference to server id on output_area\n",
- " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
- " }\n",
- " }\n",
- "\n",
- " function register_renderer(events, OutputArea) {\n",
- "\n",
- " function append_mime(data, metadata, element) {\n",
- " // create a DOM node to render to\n",
- " const toinsert = this.create_output_subarea(\n",
- " metadata,\n",
- " CLASS_NAME,\n",
- " EXEC_MIME_TYPE\n",
- " );\n",
- " this.keyboard_manager.register_events(toinsert);\n",
- " // Render to node\n",
- " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
- " render(props, toinsert[toinsert.length - 1]);\n",
- " element.append(toinsert);\n",
- " return toinsert\n",
- " }\n",
- "\n",
- " /* Handle when an output is cleared or removed */\n",
- " events.on('clear_output.CodeCell', handleClearOutput);\n",
- " events.on('delete.Cell', handleClearOutput);\n",
- "\n",
- " /* Handle when a new output is added */\n",
- " events.on('output_added.OutputArea', handleAddOutput);\n",
- "\n",
- " /**\n",
- " * Register the mime type and append_mime function with output_area\n",
- " */\n",
- " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
- " /* Is output safe? */\n",
- " safe: true,\n",
- " /* Index of renderer in `output_area.display_order` */\n",
- " index: 0\n",
- " });\n",
- " }\n",
- "\n",
- " // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
- " if (root.Jupyter !== undefined) {\n",
- " const events = require('base/js/events');\n",
- " const OutputArea = require('notebook/js/outputarea').OutputArea;\n",
- "\n",
- " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
- " register_renderer(events, OutputArea);\n",
- " }\n",
- " }\n",
- " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
- " root._bokeh_timeout = Date.now() + 5000;\n",
- " root._bokeh_failed_load = false;\n",
- " }\n",
- "\n",
- " const NB_LOAD_WARNING = {'data': {'text/html':\n",
- " \"
\\n\"+\n",
- " \"
\\n\"+\n",
- " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
- " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
- " \"
\\n\"+\n",
- " \"
\\n\"+\n",
- " \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"1150\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.13.1/dist/panel.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"1150\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
+ "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
+ Wer sind die Datenstakeholder in Helmholtz? Welche Tools nutzen sie? Welche Hindernisse liegen auf dem Weg zu besseren Metadaten?
+ Dies sind nur einige der Fragen, die wir mit unserem HMC Community Survey 2021 adressiert haben. Auf dieser Seite können Sie die Ergebnisse der Umfrage interaktiv erforschen und einen tieferen Einblick in die Daten erlangen.
+
+
+
+ Filtern Sie die angezeigten Daten unter Globale Datafilter und erforschen Sie
+
+
die Communityprofile unserer Datenstakeholder
+
Methoden, Tools und Software, die für Datengenerierung und -verarbeitung genutzt werden
+
Antworten und ihren Bezug untereinander im Umfrage-Explorer
+ DISCLAIMER Die angezeigten Daten sind mit Sorgfalt zu betrachten. Einige Antworten könnten losgelöst vom Kontext
+ Verzerrungen ausgesetzt sein. Einige Fragen wurden abhängig vom Forschungsbereich der Befragten gestellt.
+ Für nähere Informationen beachten Sie bitte unsere
+ Umfragepublikation.
+
+
+
+
+
+
+
+
+
+
+
+ {% block contents %}
+
+
+ {% for doc in docs %}
+ {{ embed(doc) if doc.elementid }}
+ {% for root in doc.roots %}
+ {{ embed(root) | indent(10) }}
+ {% endfor %}
+ {% endfor %}
+ {{ plot_script | indent(8) }}
+
+
+ 
+