SEED-vault

SEED Vault is a cross platform GUI utility which can search, view and download seismic data from FDSN servers

• Download & view EQ arrival data via a station-to-event OR an event-to-station search
• Quickly download and archive bulk continuous data, saving your progress along the way
• View and plot event arrivals
• A CLI scripting tool to automate common jobs
• Search, export, or import earthquake event catalogs and station metadata
• Download restricted/embargoed data by storing auth passwords in local config
• Add and use custom FDSN servers
• Saves all downloaded data as miniseed in a local SDS database to speed up future retrievals
• Local sqlite3 database editor
• Load and save search parameters and configuration

Runs on:

• Linux
• Windows
• MacOS

Can run:

• As web service
• From the command line (CLI)

---

Requirements

• 8 GB RAM
• Python >= 3.10
• ObsPy (>=1.4.1), Streamlit (>=1.39), Plotly (>-5.24), Pandas (>=2.2.2), Matplotlib (>=3.8.5)

Install via pip (easy way)

$ python3 pip install seed-vault

Install from source (if you insist!)

Step 1: Clone repository

$ git clone https://github.com/AuScope/seed-vault.git

Step 2: Setup and run

Then can build via pip:

$ python3 -m pip install ./seed-vault

Or,

#### Linux/MacOS
cd seed-vault
source setup.sh
source run.sh

Windows

Open a powershell and run following commands:

cd seed-vault
.\setup-win.ps1
.\run-win.ps1

NOTES:

1. For Win OS, you would need to convert the shell scripts to PowerShell. Or simply follow the steps in the shell scripts to set up the app.
2. Requires python3 venv software package e.g. For python v10 on Ubuntu you may need to:

   sudo apt update
   sudo apt install python3.10-venv
   

Project Folder structure

seed-vault/
│
├── seed_vault/      # Python package containing application code
│   ├── docs/          # Documentation
│   ├── models/        # Python modules for data models
│   ├── scripts/       # Example CLI scripts
│   ├── service/       # Services for logic and backend processing
│   ├── tests/         # Test data and utilities
│   ├── ui/            # UI components (Streamlit files)
│   ├── utils/         # Utility functions and helpers
│
└── pyproject.toml     # Project configuration file

---

Development

Setting up with Poetry

If you look to further develop this app, it is highly recommended to set up the project with poetry. Follow the steps below to set up using poetry.

Install poetry

Refer to this link: https://python-poetry.org/docs/

Alternatively,

Linux

curl -sSL https://install.python-poetry.org | python3 -

then, add following to .bashrc:

export PATH="$HOME/.local/bin:$PATH"

Windows powershell:

(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -

then, add poetry to your system path. It should be located here:

%USERPROFILE%\.poetry\bin

Optional To configure poetry to create .venv inside project folder, run following:

poetry config virtualenvs.in-project true

Install pyenv (Optional)

This project uses python 3.10.*. If your base python is a different version (check via python --version), you may get errors when trying to install via poetry. Use pyenv to manage this.

Linux

Install the required packages for building Python with the following command

sudo apt update

sudo apt install -y build-essential libssl-dev zlib1g-dev libbz2-dev
libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev libncursesw5-dev
xz-utils tk-dev libffi-dev liblzma-dev git

Then, install pyenv

curl https://pyenv.run | bash

After installation, add following to .bashrc:

export PATH="$HOME/.pyenv/bin:$PATH"

eval "$(pyenv init --path)"

eval "$(pyenv init -)"

Run .bashrc to get things updated: source ~/.bashrc

Start the project

Install python 3.12.* if you have a different version locally:

pyenv install 3.12.0

pyenv global 3.12.0

Confirm your python version: python --version

Install the packages using following.

poetry install

Start the project:

poetry shell

To run the app:

streamlit run seed_vault/ui/main.py

Alternatively, command line is configured for this project. You can also run the app, simply by:

seed-vault start

Build Project

Build Python Library

poetry build

Build Installers

Need to be added

Docker Development

To develop and run the application using Docker, follow these steps:

Prerequisites

• Install Docker Application on your system

Build and Run the Docker Container

1. Navigate to the project root directory:

cd seed-vault

2. Build and run the Docker container:

docker compose up --build

The application should now be running and accessible at http://localhost:8501.

Export poetry packages to requirements.txt

poetry export -f requirements.txt --output requirements.txt --without-hashes

Publishing the lib to test: pypi

Define a package name in pyproject.toml (e.g. seed-vault). Then, run following commands

poetry build
poetry config repositories.testpypi https://test.pypi.org/legacy/
poetry config pypi-token.test-pypi <YOUR PYPI TOKEN>
poetry publish -r testpypi

To install from pypi-test:

pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple seed-vault

Note: include both test and official indexes.

Unit test

The repository includes a number of unit tests. These tests only covers the main functions in seed_vault.service.seismoloader as these are the core logics adopted in the app.

Run tests

To run the test units:

1. Running only mockup tests

poetry run pytest

2. Running tests with actual FDSN API calls

poetry run pytest --run-real-fdsn

3. Generate coverage report:

to include the whole module:

poetry run pytest --run-real-fdsn --cov=seed_vault --cov-report=html

to only include service/* tests:

poetry run pytest --run-real-fdsn --cov=seed_vault --cov-config=.coveragerc --cov-report=html

4. Generate coverage badge

poetry run coverage-badge -o coverage.svg