Data ingest setup

The runtime component of wis2box is data ingestion. This is an event driven workflow driven by S3 notifications from uploading data to wis2box storage.

The wis2box storage is provided using a MinIO container that provides S3-compatible object storage.

Any file received in the wis2box-incoming storage bucket will trigger an action to process the file. What action to take is determined by the data-mappings.yml you’ve setup in the previous section.

MinIO user interface

To access the MinIO user interface, visit http://localhost:9001 in your web browser.

You can login with your WIS2BOX_STORAGE_USERNAME and WIS2BOX_STORAGE_PASSWORD:

To test the data ingest, add a sample file for your observations in the wis2box-incoming storage bucket.

Select ‘browse’ on the wis2box-incoming bucket and select ‘Choose or create a new path’ to define a new folder path:

Note

The folder in which the file is placed defines the dataset for the data you are sharing. For example, for dataset foo.bar, store your file in the path /foo/bar/.

The path is also used to define the topic hierarchy for your data (see WIS2 topic hierarchy). The first 3 levels of the WIS2 topic hierarchy origin/a/wis2 are automatically included by wis2box when publishing data notification messages.

• The error message Topic Hierarchy validation error: No plugins for minio:9000/wis2box-incoming/... in data mappings indicates you stored a file in a folder for which no matching dataset was defined in your data-mappings.yml.

After uploading a file to wis2box-incoming storage bucket, you can browse the content in the wis2box-public bucket. If the data ingest was successful, new data will appear as follows:

If no data appears in the wis2box-public storage bucket, you can inspect the logs from the command line:

python3 wis2box-ctl.py logs wis2box

Or by visiting the local Grafana instance running at http://localhost:3000

wis2box workflow monitoring

The Grafana homepage shows an overview with the number of files received, new files produced and messages published.

Pay attention to the messages reported in the wis2box logs (right hand side) which indicates errors encountered during data processing:

Once you have verified that the data ingest is working correctly you can prepare an automated workflow to send your data into wis2box.

Automating data ingestion

See below a Python example to upload data using the MinIO package:

import glob
import sys

from minio import Minio

filepath = '/home/wis2box-user/local-data/mydata.bin'
minio_path = '/ita/italy_wmo_demo/data/core/weather/surface-based-observations/synop/'

endpoint = 'http://localhost:9000'
WIS2BOX_STORAGE_USERNAME = 'wis2box-storage-user'
WIS2BOX_STORAGE_PASSWORD = '<your-unique-password>'

client = Minio(
    endpoint=endpoint,
    access_key=WIS2BOX_STORAGE_USERNAME,
    secret_key=WIS2BOX_STORAGE_PASSWORD,
    secure=is_secure=False)

filename = filepath.split('/')[-1]
client.fput_object('wis2box-incoming', minio_path+filename, filepath)

Another example can be found in the GitHub minio-ftp-forwarder repository, demonstrating how to setup FTP forwarding workflow to MinIO.

After you have successfully setup your data ingest process into the wis2box, you are ready to share your data with the global WIS2 network by enabling external access to your public services.

Next: Public services setup