aind-data-transfer-lite 0.4.2

Generated from aind-library-template

aind-data-transfer-lite

Getting Started

Who is this for?

You want to upload data to AIND's Cloud Storage platform on AWS.

Prerequisites

Authentication for write permissions to aind-open-data bucket. Please reach out to AIND Scientific Computing for access.

Installation

Install directly from PyPI. We recommend installing into a virtual environment or conda environment.

pip install aind-data-transfer-lite

Usage

You can interact with AIND Data Transfer Lite in three ways:

1. Launch the GUI from Python (e.g., in an IDE) for interactive use.
2. Run the standalone executable, which requires no Python installation.
3. Use Python scripts or the command-line interface to perform data uploads programmatically.

Launching GUI via Python

• Ensure dependencies are installed.

• Either:

  • Open the file src/aind_data_transfer_lite/ui.py in VS Code and click "Run" in the upper right-hand corner.

  • Or run the following in the terminal:

    python -m aind_data_transfer_lite.ui
    

• You should see a window titled "AIND Data Transfer Lite" appear.

During an upload job, high-level progress and status messages are displayed in the Output panel of the UI. For full, detailed logs (including validation steps and upload diagnostics), refer to the terminal where the application was launched.

Launching GUI from an Executable

For users who don’t want to install Python or dependencies, a standalone executable is available from the GitHub Releases page.

Each release includes a pre-built executable that can be run directly.

Note: Executables are currently built and uploaded to each release manually by a maintainer. This process will be automated in the future via GitHub Actions.

Launching Using Scripts

Example Python Script

from pathlib import Path
import os
from aind_data_transfer_lite.models import JobSettings
from aind_data_transfer_lite.upload_data import UploadDataJob

# Assuming running from same directory as this README file
cwd = os.getcwd()
behavior_path = Path(cwd) / "tests" / "resources" / "behavior_data"
ecephys_path = Path(cwd) / "tests" / "resources" / "ecephys_data"
metadata_path = Path(cwd) / "tests" / "resources" / "metadata_dir"

modality_directories = {
  "behavior": behavior_path,
  "ecephys": ecephys_path
}

metadata_directory = metadata_path

job_settings = JobSettings(
  dry_run=True,
  modality_directories=modality_directories,
  metadata_directory=metadata_directory,
  s3_bucket="aind-open-data-dev"
)

job = UploadDataJob(job_settings=job_settings)
job.run_job()

Example Command Line (Linux and MacOs)

python -m aind_data_transfer_lite.upload_data \
--metadata_directory "./tests/resources/metadata_dir" \
--modality_directories '{"behavior": "./tests/resources/behavior_data", "ecephys": "./tests/resources/ecephys_data"}' \
--dry_run "True"

Example Command Line (PowerShell)

python -m aind_data_transfer_lite.upload_data `
--metadata_directory "./tests/resources/metadata_dir" `
--modality_directories '{\"behavior\": \"./tests/resources/behavior_data\", \"ecephys\": \"./tests/resources/ecephys_data\"}' `
--dry_run "True"

Contributing

For code development, clone the repo and install as

pip install -e ".[dev]"

Building the Executable (Maintainers / Developers)

This section is intended for maintainers and contributors preparing a release. End users should download pre-built executables from GitHub Releases.

Developers can build the standalone executable using PyInstaller. PyInstaller is able to automatically detect the required dependencies for the GUI and generate a working executable without any manual modification to the .spec file. A generated .spec file is committed to the repository to ensure builds are reproducible across environments.

Generating the spec file (one-time)

PyInstaller can generate a working .spec file automatically.

• Activate your development environment

• Ensure PyInstaller is installed:

  pip install pyinstaller
  

• Run:

  pyinstaller \
    --name aind-data-transfer-lite-ui \
    --windowed \
    src/aind_data_transfer_lite/ui.py
  

This command will:

• Generate aind-data-transfer-lite-ui.spec
• Build a working executable
• Populate the dist/ directory

Building the executable from the provided .spec file

If you want to build the executable locally using the existing .spec file:

• Activate your development environment

• Ensure PyInstaller is installed:

  pip install pyinstaller
  

• Navigate to the repository root and build using the included spec file:

  pyinstaller aind-data-transfer-lite-ui.spec
  

• The executable will appear in the dist/ folder

Linters and testing

There are several libraries used to run linters, check documentation, and run tests.

• Please test your changes using the coverage library, which will run the tests and log a coverage report:

coverage run -m unittest discover && coverage report

• Use interrogate to check that modules, methods, etc. have been documented thoroughly:

interrogate .

• Use flake8 to check that code is up to standards (no unused imports, etc.):

flake8 .

• Use black to automatically format the code into PEP standards:

black .

• Use isort to automatically sort import statements:

isort .

Pull requests

For internal members, please create a branch. For external members, please fork the repository and open a pull request from the fork. We'll primarily use Angular style for commit messages. Roughly, they should follow the pattern:

<type>(<scope>): <short summary>

where scope (optional) describes the packages affected by the code changes and type (mandatory) is one of:

• build: Changes that affect build tools or external dependencies (example scopes: pyproject.toml, setup.py)
• ci: Changes to our CI configuration files and scripts (examples: .github/workflows/ci.yml)
• docs: Documentation only changes
• feat: A new feature
• fix: A bugfix
• perf: A code change that improves performance
• refactor: A code change that neither fixes a bug nor adds a feature
• test: Adding missing tests or correcting existing tests

Semantic Release

The table below, from semantic release, shows which commit message gets you which release type when semantic-release runs (using the default configuration):

Commit message	Release type
fix(pencil): stop graphite breaking when too much pressure applied	Patch Fix Release, Default release
feat(pencil): add 'graphiteWidth' option	Minor Feature Release
perf(pencil): remove graphiteWidth option BREAKING CHANGE: The graphiteWidth option has been removed. The default graphite width of 10mm is always used for performance reasons.	Major Breaking Release (Note that the BREAKING CHANGE: token must be in the footer of the commit)