Skip to main content

Generated from aind-library-template

Project description

aind-data-transfer-lite

License Code Style semantic-release: angular Interrogate Coverage Python

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

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]"

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aind_data_transfer_lite-0.2.0.tar.gz (24.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aind_data_transfer_lite-0.2.0-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file aind_data_transfer_lite-0.2.0.tar.gz.

File metadata

  • Download URL: aind_data_transfer_lite-0.2.0.tar.gz
  • Upload date:
  • Size: 24.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aind_data_transfer_lite-0.2.0.tar.gz
Algorithm Hash digest
SHA256 5053a509bac45bd455fccbcc8cd98bc5d5799cd1c0960012f43f6c15227ea923
MD5 ac2b51a0ba565cfd095ba278a8923395
BLAKE2b-256 06e8018126a5701fc67555299ed33401e95711ec73ef2c26ac055bfc4d4a31b0

See more details on using hashes here.

File details

Details for the file aind_data_transfer_lite-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for aind_data_transfer_lite-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fd4045866ca059124c5bb50f572fd7311bc9f86d5fbc7fec3deb8ff77508aa90
MD5 1d7cd8eea277ae562a45b953e92924fc
BLAKE2b-256 83642e6717bf7879449700545220747fce7c307a97747821b0e09fa0082ee098

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page