Skip to main content

LSST Data Management SQuaRE microservice tools

Project description

[![Build Status](https://travis-ci.org/lsst-sqre/sqre-apikit.svg?branch=master)](https://travis-ci.org/lsst-sqre/sqre-apikit)

# sqre-apikit

LSST DM SQuaRE microservice convenience tools.

## Rationale

In order to create a microservice hosted behind https://api.lsst.codes,
a service will need to provide a route on `/metadata` and
`/v{{api_version}}/metadata`. That route must serve appropriate
metadata about the service.

### Metadata format

The metadata served must be a JSON object, and must contain the
following fields:

`name`: `str`

`version`: `str`

`repository`: `str`

`description`: `str`

`api_version`: `str`

`auth`: `str`

The fields `name`, `version`, `api_version`, and `description` are
arbitrary, although semantic versioning is strongly encouraged, and the
API version should reflect the version of the `api.lsst.codes` API in
use (currently `1.0`, documentation pending).

Auth must be one of `none`, `basic`, or `bitly-proxy`. It represents
the way in which the microservice will authenticate to GitHub: either it
doesn't need to, it uses HTTP Basic Auth with a username and service
token, or it uses the Bitly OAuth2 Proxy with a username, a password,
and the proxy starting-OAuth2 endpoint.

## Provided Functionality

`sqre-apikit` provides one module, `apikit`, which contains three
functions, `set_flask_metadata`, `add_metadata_route`, and
`return_metadata`, and a class, `APIFlask`.

The `set_flask_metadata` sets metadata on an existing Flask app and adds
metadata routes. `add_metadata_route` is designed to add routing for
each component in the route list to an existing Flask app.
`return_metadata` returns the JSON representation of the metadata for
the service.

The `APIFlask` class creates an instance of a subclass of `flask.Flask`
which has the metadata added and the route(s) already baked into it.

The class comes with a method, `add_route_prefix`, which adds the
metadata route underneath another route. This is useful, for instance,
if wiring the microservice up through Kubernetes and its Ingress
resources, which provide routing but not rewriting.

## Installation

`sqre-apikit` runs on Python 2.7 or 3.5. You can install it with

```bash
pip install sqre-apikit
```

This will also install the dependency `Flask`.

## Example usage

### `apikit.set_flask_metadata()`

```python
import apikit
import flask

app = flask.Flask("Hello")
apikit.set_flask_metadata(app,
version="0.0.1",
repository="http://example.repo",
description="Hello World App")
```

### `apikit.APIFlask`

```python
import apikit

app = apikit.APIFlask(name="Hello",
version="0.0.1",
repository="http://example.repo",
description="Hello World App")
```

## Development

To develop apikit, create a Python virtual environment, and

```bash
git clone https://github.com/lsst-sqre/sqre-apikit.git
cd sqre-apikit
virtualenv venv
. venv/bin/activate
pip install -r requirements.txt
python setup.py develop
```
Tests can be run with [pytest](http://pytest.org/latest/):

```bash
py.test tests
```


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

sqre-apikit-0.0.10.tar.gz (6.4 kB view details)

Uploaded Source

Built Distribution

sqre_apikit-0.0.10-py2.py3-none-any.whl (8.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file sqre-apikit-0.0.10.tar.gz.

File metadata

File hashes

Hashes for sqre-apikit-0.0.10.tar.gz
Algorithm Hash digest
SHA256 e7c69f1071d2d02bd483969a40d22df86d756138b7ba0294e6b72c0a979501cf
MD5 8d0b03054c3e093fc889c7773d349c92
BLAKE2b-256 c4f099f5833478957be871a0f210cbaf718c11d093ca6a2f3570592d93dea82a

See more details on using hashes here.

File details

Details for the file sqre_apikit-0.0.10-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for sqre_apikit-0.0.10-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 07b61c910daa98ace1d80e5e3bca0f0394d658d89b27d3522bd3f94972ddb253
MD5 2acd20a0de5bcf04f18039cc98473be8
BLAKE2b-256 0fc02d86c442a83c5f5019c5b843414b339279ae98f4c786de10058b5b053e17

See more details on using hashes here.

Supported by

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