curl --http1.1 --data-urlencode update@basic_insert.txt -H 'X-API-Key: <API KEY>' https://d176x3sh52.execute-api.us-west-2.amazonaws.com/development/rialto-sparql-loader

Where basic_insert.txt is a text file with a sparql query like:

PREFIX dc: <http://purl.org/dc/elements/1.1/> INSERT DATA { <http://example/book3> dc:title    'A new book' ; dc:creator  'A.N.Other' . }

1. Create a python virtual environment
2. Activate your virtual environment

source env/bin/activate

1. Install dependencies

pip install -r requirements.txt

pytest -vv -k unit

1. Start localstack and blazegraph via docker.

docker-compose up

2. Run the test

AWS_ACCESS_KEY_ID=999999 AWS_SECRET_ACCESS_KEY=1231 pytest -vv

Per the AWS Documentation, a deployment package is made from the virtualenv installed dependencies.

1. Create a python virtual environment
2. Activate your virtual environment

source env/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Create zip file

zip sparql-loader.zip handler.py sns_client.py neptune_client.py

5. Copy dependencies into zip file

cd env/lib/python3.6/site-packages/
zip -r ../../../../sparql-loader.zip honeybadger isodate psutil rdflib rdflib_sparql requests

Note: We are packaging the minimum level of dependencies to try to keep our deployment package small.