CopDS Observations repository catalogue manager

Instalation

The CLI services will be used directly on the VM. To prepare the project, simply clone it and install its dependencies via conda.

git clone [email protected]:ecmwf-projects/cads-obs-catalogue-manager.git
cd cads-obs-catalogue-manager
conda create -n cads-obs -c conda-forge python=3.10
conda activate cads-obs
conda env update --file environment.yml
pip install .

Deploy services

In order to deploy the services (the databases and the web API) simply use the provided docker-compose.yml

docker-compose build
docker-compose up -d

Note that you will need to add sensible information (the catalogue database password) as environment variables (or use a .env). The variable name is CATALOGUE_PASSWORD

Workflow for developers/contributors

For best experience create a new conda environment (e.g. DEVELOP) with Python 3.10:

conda create -n DEVELOP -c conda-forge python=3.10
conda activate DEVELOP

Before pushing to GitHub, run the following commands:

1. Update conda environment: make conda-env-update
2. Install this package: pip install -e .
3. Sync with the latest template (optional): make template-update
4. Run quality assurance checks: make qa
5. Run tests: make unit-tests
6. Run the static type checker: make type-check
7. Build the documentation (see Sphinx tutorial): make docs-build

Writing tests

We use the pytest framework and fixtures.

Configuration files for the tests are available in tests/data/${dataset_name}

data
├── insitu-comprehensive-upper-air-observation-network
│   └── service_definition.json
├── insitu-observations-igra-baseline-network
│   └── service_definition.json
├── insitu-observations-woudc-ozone-total-column-and-profiles
    └── service_definition.json

Test data preparison

The tests are meant to work against test databases, so a few steps are needed to set them up:

First, download the dump: test_ingestiondb.sql file and store it at tests/docker.

Download also cuon_data.tar.gz and extract it in tests/data/cuon_data. This contains a couple of netCDFs from the CUON soundings dataset for the tests.

Add a .env file at tests/docker containing the pass credentials for the 3 db:

TEST_INGESTION_DB_PASS=xxxx
CATALOGUE_PASSWORD=xxxx
STORAGE_PASSWORD=xxxx

Note that credentials must coincide with the ones at the cdsobs_config template.

Finally start the docker containers by running:

cd tests/docker
docker-compose up -d

Ingestion db tables available right now:

• woudc_ozonesonde_header
• woudc_ozonesonde_data
• woudc_totalozone_header
• woudc_totalozone_data
• guan_data_header
• guan_data_value
• header
• harmonized_data
• gruan_data_header
• gruan_data_value
• uscrn.unc_subhourly
• uscrn.unc_hourly
• uscrn.unc_daily
• uscrn.unc_monthly

Test data update

This requires SSH access to the VM and a .env file defining the DB connection details. It will replicate the ingestion DB (right now only the Ozone dataset), truncating the data tables at 10k rows, and dump it to a .sql file.

cd tests/scripts
bash make_test_ingestiondb.sh

HTTP API

To deploy the HTTP API, unicorn needs to be installed. Please note that it should not be exposed to the internet without a proxy. The deploy command is:

python cdsobs/api_rest/main.py

The /doc endpoint can be opened in a browser to check the automatically generated documentation.