# nshm-tosh-api

Where NSHM experiments and outputs are captured (not so old fashioned, tosh).

Getting started

Java is required.

virtualenv nshm-toshi-api
npm install --save serverless
npm install --save serverless-dynamodb
npm install --save serverless-s3-local
npm install --save serverless-python-requirements
npm install --save serverless-wsgi
sls dynamodb install

poetry install

running sls (alias for serverless )

NB to run the following examples, depending on local NPM configuration, it may be necessary to run serverless, or npx serverless instead of sls.

You might have to add this block to your AWS credentials file:

[default]
aws_access_key_id=MockAccessKeyId
aws_secret_access_key=MockAccessKeyId

Smoketest

poetry shell
sls dynamodb start --stage local &\
sls s3 start &\
SLS_OFFLINE=1 TOSHI_FIX_RANDOM_SEED=1 FIRST_DYNAMO_ID=0 sls wsgi serve

If shell is not available, in poetry, it is possible to use eval $(poetry env activate)

Then in another shell,

docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:6.8.0

(to just run locally stop here)

Then in another shell,

poetry run python3 graphql_api/tests/smoketests.py

Unit test

SLS_OFFLINE=1 TESTING=1 poetry run pytest

Test locally with Toshi UI

docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:6.8.0
sls dynamodb start --stage local &\
sls s3 start &\
SLS_OFFLINE=1 sls wsgi serve

then in another shell,

SLS_OFFLINE=1 S3_BUCKET_NAME=nzshm22-toshi-api-local S3_TEST_DATA_PATH=s3_extract python3 graphql_api/tests/upload_test_s3_extract.py 

then in the simple-toshi-ui repo, set REACT_APP_GRAPH_ENDPOINT=http://localhost:5000/graphql, and run yarn start

now if you navigate to http://localhost:3000/Find and find R2VuZXJhbFRhc2s6MjQ4ODdRTkhH you will get to your test data