heaserver-people


Nameheaserver-people JSON
Version 1.2.0 PyPI version JSON
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home_pagehttps://risr.hci.utah.edu
SummaryA microservice designed to provide CRUD operations for the Person HEA object type
upload_time2024-04-18 03:46:50
maintainerNone
docs_urlNone
authorResearch Informatics Shared Resource, Huntsman Cancer Institute, Salt Lake City, UT
requires_python>=3.10
licenseNone
keywords heaserver-people microservice healthcare cancer research informatics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # HEA Person Microservice
[Research Informatics Shared Resource](https://risr.hci.utah.edu), [Huntsman Cancer Institute](https://hci.utah.edu),
Salt Lake City, UT

The HEA Person Microservice is A microservice designed to provide CRUD operations for the Person HEA object type.

## Version 1.2.0
* Added /groups endpoint.
* Corrected 500 error with /roles endpoint in some circumstances.

## Version 1.1.0
* System users are now included in the people API calls.

## Version 1.0.7
* Improved performance.

## Version 1.0.6
* Added support for the new settings links in the web client.

## Version 1.0.5
* Added code for Organization system menu item, but commented it out for now.

## Version 1.0.4
* Improved performance.

## Version 1.0.3
* Fixed access token caching logic error.

## Version 1.0.2
* Get user's client-level roles correctly.

## Version 1.0.1
* Addressed intermittent 500 error when calling the Keycloak admin API.

## 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 -r requirements_dev.txt`.
**Do NOT run `python setup.py develop`. It will break your environment.**

### 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.
* 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/buckets/ -Method GET -Headers @{'accept' = 'application/json'}`
```
In MacOS or Linux, the equivalent command is:
```
curl -X GET http://localhost:8080/buckets/ -H 'accept: application/json'
```

### 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`.

### Packaging and releasing this project
See the [RELEASING.md](RELEASING.md) file for details.

            

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