Francesco Bartoli
72b9a647ff
* Bump gdal to v3 * Fix query duplicates with bbox for PG * Add backward compatibility for axis order * Move travis to bionic dist Fix gdal version 3 on travis by pinning latest ubuntu unstable release Fix ubuntugis sources on travis Remove pinned python gdal version Add mongodb start Enable mongod service Fix package name Install mongo from official community repos Add mongo enable and start commands * Fix wrong axis mapping strategy Add author * Move base image to bullseye for docker build * Fix remaining unchanged places for #364 * Make image size smaller * Add docker build and cite tests Fix python version Move steps after docker build elsewhere Fix uppercase characters Fix internal port Daemonize the run process * Check logs and run test command from the entrypoint * Remove the execution of mongo tests for test command Remove the execution of mongo tests for test command Fix failed command * Add delay and move build to install step Remove grep command for now Use single quote
Using pygeoapi on AWS Lambda Serverless
Overview
AWS Lambda Serverless is a service from Amazon that enables publishing code which is executed as on demand functions. The value is here is that the server is only working when requests are made, resulting in more efficient use of server resources as well as managing costs.
pygeoapi provides a couple of ways to publish to AWS Lambda depending on your environment: zappa and node/serverless.
zappa
zappa provides Python tooling to interact with AWS lambda. Ensure the environment
variables AWS_ACCESS_KEY and AWS_SECRET_ACCESS_KEY are set and available.
# install zappa
pip install zappa
# set environment variables
export AWS_ACCESS_KEY_ID=foo
export AWS_SECRET_ACCESS_KEY=bar
# deploy pygeoapi to AWS Lambda
zappa deploy -s zappa_settings.json
# update
zappa update -s zappa_settings.json
# undeploy
zappa undeploy -s zappa_settings.json
node/serverless
The included serverless.yml and pygeoapi-serverless-config.yml can be used to deploy pygeoapi
on AWS Lambda Serverless Environment.
This requires Amazon Credentials and the Serverless deployment tool.
AWS Credentials can be created following the instructions at https://serverless.com/framework/docs/providers/aws/guide/credentials/
To install the Serverless environment
npm install serverless
The following serverless plugins are also used
serverless plugin install -n serverless-python-requirements
serverless plugin install -n serverless-wsgi
To deploy to AWS Lambda:
serverless deploy
Once deployed, if you only need to update the code and not anything in the serverless configuration, you can update the function using:
serverless deploy --function app
When deployed, the output will show the URL the app has been deployed to.