Name: dos-azul-lambda
Owner: Data Biosphere
Description: Provides access to DSS azul-index in the Data Object Service schemas
Created: 2018-04-24 03:21:29.0
Updated: 2018-04-27 01:10:45.0
Pushed: 2018-04-27 01:13:50.0
Homepage: https://5ybh0f5iai.execute-api.us-west-2.amazonaws.com/api
Size: 57
Language: Jupyter Notebook
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This presents an Amazon Lambda microservice following the Data Object Service (view the OpenAPI description!). It allows data in the Human Cell Atlas Data Store to be accessed using Data Object Service APIs.
---------------+ +---------------+ +-----------+
4gh-dos-client |------|dos-azul-lambda|--------|azul-index |
-----|---------+ +---------------+ +-----------+
| |
| |
|------------------swagger.json
A development version of this service is available at https://5ybh0f5iai.execute-api.us-west-2.amazonaws.com/api/ . To make proper use of the service, one can either use cURL or an HTTP client to write API requests following the OpenAPI description.
ll request the first page of Data Bundles from the service.
-X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{}' 'https://5ybh0f5iai.execute-api.us-west-2.amazonaws.com/api/ga4gh/dos/v1/dataobjects/list'
There is also a Python client available, that makes it easier to use the service from code.
ga4gh.dos.client import Client
nt = Client("https://5ybh0f5iai.execute-api.us-west-2.amazonaws.com/api")
l_client = client.client
ls = client.models
l_client.ListDataBundles(body={}).result()
For more information refer to the Data Object Service.
This software is being actively developed to provide basic access to listing of Data Objects made available by the dss-azul-indexer.
It also presents an area to explore features that allow DSS data to be resolved by arbitrary provided metadata. Current development items can be seen in the Issues.
The Data Object Service can present many of the features of the DSS API naturally. This lambda should present a useful client for the latest releases of the DSS API.
In addition, the DOS schemas may be extended to present available from the DSS, but not from DOS.
The gateway portion of the AWS Lambda microservice is provided by chalice. So to manage deployment and to develop you'll need to install chalice.
Once you have installed chalice, you can download and deploy your own version of the service.
install chalice
clone https://github.com/DataBiosphere/dos-azul-lambda.git
os-azul-lambda
Then, edit the .chalice/config.json
to use the instance of the azul-index you would like to use.
Here is an example config.json
ersion": "2.0",
pp_name": "dos-azul-lambda",
tages": {
"dev": {
"api_gateway_stage": "api",
"environment_variables": {
"ES_HOST": "search-dss-azul-commons-lx3ltgewjw5wiw2yrxftoqr7jy.us-west-2.es.amazonaws.com",
"ES_REGION": "us-west-2",
"ES_INDEX": "fb_index",
"ACCESS_KEY": "<YOUR_ACCESS_KEY>"
"HOME":"/tmp"
}
}
Note the environment variables, which are passed to the application. The ACCESS_KEY
should be a hard to guess string of letters and numbers. When requests to modify
an index are made, this value is checked for in the access_key
header of the request.
Then, create a file .chalice/policy-dev.json
so it can access you azul index, assuming its
permissions have been set to allow it.
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"es:ESHttpDelete",
"es:ESHttpGet",
"es:ESHttpHead",
"es:ESHttpPost",
"es:ESHttpPut"
],
"Effect": "Allow",
"Resource": "*"
}
]
You can then run chalice deploy --no-autogen-policy
.
Chalice will return a HTTP location that you can issue DOS requests to! You can then use HTTP requests in the style of the Data Object Service.
Some integration tests are available in the tests directory.
install -r dev-requirements.txt
tests
Assuming your AWS credentials are set up properly to access the Elastic Search domain, you will see a few tests pass that demonstrate the List and Get features of the DOS endpoint.
A Python client for the Data Object Service is made available here. Install this client and then view the example in Example Usage. This notebook will guide you through basic read access to data in the DSS via DOS.
If you have a problem accessing the service or deploying it for yourself, please head over to the Issues to let us know!