heaserver-folders-aws-s3 1.1.5

The HEA AWS S3 bucket folder service.

HEA Server AWS S3 Bucket Folders Microservice

Research Informatics Shared Resource, Huntsman Cancer Institute, Salt Lake City, UT

The HEA Server AWS S3 Bucket Folders Microservice manages folders in AWS S3 buckets.

Version 1.1.3

• Fixed potential issue preventing the service from updating temporary credentials.

Version 1.1.2

• Fixed new folder form submission.

Version 1.1.1

• Display type display name in properties card, and return the type display name from GET calls.

Version 1.1.0

• Pass folder and project permissions back to clients.

Version 1.0.13

• Changed presented bucket owner to system|aws.
• Omitted shares from the properties template.

Version 1.0.12

• Improved upload desktop object action message.

Version 1.0.11

• Improved performance.

Version 1.0.10

• Support getting the content of a folder as a zip file when the folder has files > 2GiB in size.

Version 1.0.9

• Prevent zip file corruption when getting the content of a folder.

Version 1.0.8

• Addressed issue where downloads start failing for all users if one user interrupts their download.

Version 1.0.7

• Addressed potential failures to connect to other CORE Browser microservices.

Version 1.0.6

• Addressed potential exception while unarchiving objects.
• Addressed issue preventing copying and moving folders containing unarchived objects.
• Improved error message when attempting to copy or move a folder with archived objects.

Version 1.0.5

• Improved validation for downloading objects and generating presigned URLs.

Version 1.0.4

• Improved performance.
• Allow unarchived S3 objects to be downloaded.

Version 1.0.3

• Fixed project downloading.

Version 1.0.2

• Fixed project copy and move causing 404 error.

Version 1.0.1

• Improved performance.
• Corrected issue copying, moving, and renaming folders and projects containing archived objects.
• Corrected error opening a project with an archived README.*.
• Skip archived objects when downloading a folder or project.

Version 1

Initial release.

Runtime requirements

• Python 3.10 or 3.11.

Development environment

Build requirements

• Any development environment is fine.
• On Windows, you also will need:
  • Build Tools for Visual Studio 2019, found at https://visualstudio.microsoft.com/downloads/. Select the C++ tools.
  • git, found at https://git-scm.com/download/win.
• On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.
• Python 3.10 or 3.11: Download and install Python 3.10 from https://www.python.org, and select the options to install for all users and add Python to your environment variables. The install for all users option will help keep you from accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv environment, described below.
• Create a virtualenv environment using the python -m venv <venv_directory> command, substituting <venv_directory> with the directory name of your virtual environment. Run source <venv_directory>/bin/activate (or <venv_directory>/Scripts/activate on Windows) to activate the virtual environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do this for you automatically. Note that PyCharm will do this for you, but you have to create a new Terminal panel after you newly configure a project with your virtualenv.
• From the project's root directory, and using the activated virtualenv, run pip install wheel followed by pip install -r requirements_dev.txt. Do NOT run python setup.py develop. It will break your environment.

Running tests

Run tests with the pytest command from the project root directory. To improve performance, run tests in multiple processes with pytest -n auto.

Running integration tests

• Install Docker
• On Windows, install pywin32 version >= 223 from https://github.com/mhammond/pywin32/releases. In your venv, make sure that include-system-site-packages is set to true.
• A compatible heaserver-registry Docker image must be available.
• Run tests with the pytest integrationtests command from the project root directory.

Trying out the APIs

This microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:

• Install Docker, if it is not installed already.
• Have a heaserver-registry docker image in your Docker cache. You can generate one using the Dockerfile in the heaserver-registry project.
• Run the run-swaggerui.py file in your terminal. This file contains some test objects that are loaded into a MongoDB Docker container.
• Go to http://127.0.0.1:8080/docs in your web browser.

Once run-swaggerui.py is running, you can also access the APIs via curl or other tool. For example, in Windows PowerShell, execute:

Invoke-RestMethod -Uri http://localhost:8080/awss3folders/root/items -Method GET -Headers @{'accept' = 'application/json'}`

In MacOS or Linux, the equivalent command is:

curl -X GET http://localhost:8080/awss3folders/root/items -H 'accept: application/json'

Packaging and releasing this project

See the RELEASING.md file for details.