The command line interface for GPAS
Project description
GPAS CLI
The command line and Python API client for the GPAS mycobacterial platform. Enables secure sample upload with client-side human read removal and retrieval of analytical outputs.
Install
Installing Miniconda
If a conda package manager is already installed, skip to Installing the GPAS CLI, otherwise:
Linux
- In a terminal console, install Miniconda, following instructions and accepting default options:
curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh bash Miniconda3-latest-Linux-x86_64.sh
MacOS
The GPAS CLI requires an x86_64 conda installation. If your Mac has an Apple processor, you must disable or delete any existing arm64 conda installations before continuing.
- If your Mac has an Apple processor, using Terminal, firstly run:
arch -x86_64 zsh
- Install Miniconda using Terminal, following instructions and accepting default options:
curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh bash Miniconda3-latest-MacOSX-x86_64.sh
Installing or updating the GPAS CLI
-
If using a Mac with an Apple processor, using Terminal, firstly run:
arch -x86_64 zsh
-
Perform the installation/upgrade:
conda create --yes -n gpas -c conda-forge -c bioconda hostile conda activate gpas pip install gpas
-
Test:
gpas --version
Usage
Ensure that the conda environment is active:
conda activate gpas
Help
Run gpas --help for an overview of CLI subcommands. For help with a specific subcommand, use e.g. gpas auth --help
Authentication (gpas auth)
The first time you use the CLI, you will need to authenticate by running gpas auth and entering your username and password. This token will be used automatically for subsequent commands.
gpas auth
Enter your username: bede.constantinides@ndm.ox.ac.uk
Enter your password: ***************
Uploading samples (gpas upload)
Performs metadata validation and client-side removal of human reads in each of your samples before uploading sequences to the GPAS platform.
gpas upload tests/data/illumina.csv
This generates a mapping CSV (e.g. a5w2e8.mapping.csv) linking your local sample names with their randomly generated remote identifiers (GUIDs). Keep this file safe as it's useful for linking results later.
Downloading output files (gpas download)
Download the output files associated with a batch of samples given the mapping CSV generated during upload, or one or more sample GUIDs. When a mapping CSV is used, downloaded file names are prefixed with the sample names provided at upload by default. Otherwise downloaded files are prefixed with the sample GUID.
# Download the main reports for all samples in a5w2e8.mapping.csv
gpas download a5w2e8.mapping.csv
# Download the main and speciation reports for samples in a5w2e8.mapping.csv
gpas download a5w2e8.mapping.csv --filenames main_report.json,speciation_report.json
# Download the main report for sample 3bf7d6f9-c883-4273-adc0-93bb96a499f6
gpas download 3bf7d6f9-c883-4273-adc0-93bb96a499f6
# Save downloaded files to a specific directory
gpas download a5w2e8.mapping.csv --out-dir results
Support
For technical support, please open an issue or contact support@gpas.global
Development
Development install
git clone https://github.com/GlobalPathogenAnalysisService/cli.git
cd cli
conda env create -y -f environment-dev.yml
pip install --editable .
Updating
git pull origin main
gpas --version
Using a local development server
export GPAS_HOST="localhost:8000"
export GPAS_PROTOCOL="http"
To unset:
unset GPAS_HOST
unset GPAS_PROTOCOL
Releasing a new version
pytest
# Increment version string inside src/gpas/__init__.py
git tag 0.xx.0 # Tag new version
git push origin main --tags # Push including tags
flit build
flit publish # Uploads to PyPI given appropriate permission
# Announce in Slack CLI channel
# PR gpas/gpas/settings.py with new version
Release history Release notifications | RSS feed
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