Editorial Search - Galileo Babel

This is the lambda function used to put galileo babel notifications into a bucket.

Stack template

Should be generated from ./infrastructure/editorial-search-galileo-babel.py

Deployment

To deploy a new version of the lambda to the bucket, run the following:

./deploy.sh
./update.sh <environment>

Important note!

Because at some point in the past we've ended up with a test environment named 'testtest', the correct syntax for updating the test environment is:

./update.sh testtest

Future work

We plan to remove the legacy scripts below as part of the work on EDPLAT-675. They have been left here for reference, but should not be used in the meantime.

Legacy (deprecated) scripts

Fetch aws credentials

fetch-aws-creds 195048873603

Create virtual environment

sudo yum install python34-devel libcurl-devel
sudo pip3.4 install virtualenv
python3.4 -m virtualenv ~/galileo-babel
source ~/galileo-babel/bin/activate

You will need to install troposhere and some other Python packages:

pip install troposphere

pip install awacs

pip install pytest

pip install pycurl

pip install boto3

Upload Lambda Function

1. create a bucket to hold the lambda function. e.ggalileo-babel-lambda.
2. Execute the script deploy.sh to build and upload the zip file to the bucket

Create the lambda stack

1. Create the stack template for an environment

   In the directory <APP_DIRECTORY>/infrastructure/src

   Type the following: python -m babel.environmentbuilder --lambda-function-bucket <s3-bucket-containing-zipped-lambda-function> --env <env>

   eg: python -m babel.environmentbuilder --lambda-function-bucket galileo-babel-lambda --env int

   NOTE:

   1. When you first run this, if the bucket does not exist it will create one. The name of the bucket created is extactly the same name as the lambda.
   2. When you delete the stack if there is data in the bucket then it will not attempt to delete the bucket.
   3. When you try to create the stack if the bucket already exist then the cloudformation script will not include the bucket creation component.
   4. config.json contains the aws environment configurations used to create the stack
   5. This is the link to the galileo babel documentation page: https://confluence.dev.bbc.co.uk/display/mediatools/Galileo+Babel+User+Guide

Test the lambda function

To test the lambda function execute the following command:

In the directory  ```<APP_DIRECTORY>/infrastructure``` 

pytest tests/test_galileobabel.py

Note: Make sure to change the name of the function in setup.cfg.

Development

After making changes to the lambda peform the following operations:

1. "deploy.sh" This is used to put new code in to the bucket
2. "update.sh" This is used to update the lambda to use the new code in the bucket