This script connects to the HDRO API and extracts country by country creating a dataset per country in HDX. It makes one reads from HDRO and 1000 read/writes (API calls) to HDX in total. It creates around 2 temporary files per country of no more than 100Kb size. It is run every year.
python run.py
For the script to run, you will need to have a file called .hdx_configuration.yml in your home directory containing your HDX key eg.
hdx_key: "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
hdx_read_only: false
hdx_site: prod
You will also need to supply the universal .useragents.yml file in your home directory as specified in the parameter user_agent_config_yaml passed to facade in run.py. The collector reads the key hdx-scraper-hdro as specified in the parameter user_agent_lookup.
Alternatively, you can set up environment variables: USER_AGENT, HDX_KEY, HDX_SITE, EXTRA_PARAMS, TEMP_DIR, LOG_FILE_ONLY