titiler-xarray

---

Source Code: https://github.com/developmentseed/titiler-xarray

---

Running Locally

# It's recommanded to use virtual environment
python -m pip install --upgrade virtualenv
virtualenv .venv

python -m pip install -e . uvicorn
source .venv/bin/activate
uvicorn titiler.xarray.main:app --reload

To access the docs, visit http://127.0.0.1:8000/api.html.

Testing

Tests use data generated locally by using tests/fixtures/generate_test_*.py scripts.

To run all the tests:

python -m pip install -e ".[tests]"
python -m pytest --cov titiler.xarray --cov-report term-missing -s -vv

To run just one test:

python -m pytest tests/test_app.py::test_get_info --cov titiler.xarray --cov-report term-missing -s -vv

VEDA Deployment

The Github Actions workflow defined in .github/workflows/ci.yml deploys code to AWS for the VEDA project.

• There are 2 stacks - one production and one development.
• The production stack is deployed when the main branch is tagged, creating a new release. The production stack will deploy to a stack with an API Gateway associated with the domain prod-titiler-xarray.delta-backend.com/.
• The development stack will be deployed upon pushes to the dev and main branches. The development stack will deploy to a stack with an API Gateway associated with the domain dev-titiler-xarray.delta-backend.com/.

New Deployments

The following steps detail how to to setup and deploy the CDK stack from your local machine.

1. Install CDK and connect to your AWS account. This step is only necessary once per AWS account.

   # Download titiler repo
   git clone https://github.com/developmentseed/titiler-xarray.git
   
   # Create a virtual environment
   python -m pip install --upgrade virtualenv
   virtualenv infrastructure/aws/.venv
   source infrastructure/aws/.venv/bin/activate
   
   # install cdk dependencies
   python -m pip install -r infrastructure/aws/requirements-cdk.txt
   
   # Install node dependency
   npm --prefix infrastructure/aws install
   
   # Deploys the CDK toolkit stack into an AWS environment
   npm --prefix infrastructure/aws run cdk -- bootstrap
   
   # or to a specific region and or using AWS profile
   AWS_DEFAULT_REGION=us-west-2 AWS_REGION=us-west-2 AWS_PROFILE=myprofile npm --prefix infrastructure/aws run cdk -- bootstrap

2. Update settings

   Set environment variable or hard code in infrastructure/aws/.env file (e.g STACK_STAGE=testing).

3. Pre-Generate CFN template

   npm --prefix infrastructure/aws run cdk -- synth  # Synthesizes and prints the CloudFormation template for this stack

4. Deploy

   STACK_STAGE=staging npm --prefix infrastructure/aws run cdk -- deploy titiler-xarray-staging
   
   # Deploy in specific region
   AWS_DEFAULT_REGION=us-west-2 AWS_REGION=us-west-2 AWS_PROFILE=smce-veda STACK_STAGE=production  npm --prefix infrastructure/aws run cdk -- deploy titiler-xarray-production

Important

In AWS Lambda environment we need to have specific version of botocore, S3FS, FSPEC and other libraries. To make sure the application will both work locally and in AWS Lambda environment you can install the dependencies using python -m pip install -r infrastructure/aws/requirement-lambda.txt