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opencdms-rclimatic is an OpenCDMS component for working with the R `cdms.products` library

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OpenCDMS Process library

License: MIT License: CC BY-SA 4.0

Overview

The opencdms.process package is intended to contain wrappers around capabilities from other (external) projects.

opencdms.process has dependencies on external R libraries. The development may also include dependencies running on FreePascal and Node.JS. The use of Node.JS is intended to allow the same JavaScript validation code to be executed by the browser and also on the server. If a user does not have the necessary dependencies then useful error messages should be provided.

Example

Create a virtual environment for OpenCDMS development

These instructions are for Debian/Ubuntu Linux. At the time of writing (October 2020) only Ubuntu 18.04 is supported. If you run into problems then please raise a new issue.

# Create a directory for the project from user's home directory (~)
mkdir -p ~/opencdms/processes
cd ~/opencdms/processes

# Clone opencdms-process, pyopencdms and opencdms-test-data
git clone https://github.com/opencdms/opencdms-process.git
git clone https://github.com/opencdms/pyopencdms.git
git clone https://github.com/opencdms/opencdms-test-data.git

# Create a virtual environment for installing Python dependencies
python3 -m venv opencdms-env

# Activate the virtual environment (the leading `.` is equivalent to `source`)
. opencdms-env/bin/activate

# Install dependencies used by `opencdms-process` and `pyopencdms`
pip3 install -r ~/opencdms/processes/opencdms-process/requirements.txt
pip3 install -r ~/opencdms/processes/pyopencdms/requirements.txt
pip3 install -r ~/opencdms/processes/pyopencdms/requirements_dev.txt

# Add `opencdms` to the virtual environment's python path
# If you used the system's `python3` to create the virtualenv then this will likely
# be `python3.6` on Ubuntu 18.04 and `python3.7` on Ubunutu 20.04
echo $HOME"/opencdms/processes/pyopencdms/" > opencdms-env/lib/python3.6/site-packages/opencdms.pth

Example python commands

import os
from pathlib import Path

from opencdms import MidasOpen

# Instead of using a database connection string, the MIDAS Open
# provider requires the root directory for the MIDAS Open data.
connection = os.path.join(
    Path.home(), 'opencdms-dev', 'git', 'opencdms-test-data')

# All instances of CDMS Providers act as an active session
session = MidasOpen(connection)

filters = {
    'src_id': 838,
    'period': 'hourly',
    'year': 1991,
    'elements': ['wind_speed', 'wind_direction'],
}

# Get observations using filters
obs = session.obs(**filters)

# Save observations to CSV file
obs.to_csv('example_observations.csv')

Example use with pygeoapi

process from opencdms_process can be used in pygeoapi as process type plugin.

Here is an example of how to use it in pygeoapi config:

resources:
    ....
    other resources
    ....
    windrose-generator:
        type: process
        processor:
            name: opencdms_process.process.climatol.windrose_generator.WindroseProcessor

On the pygeoapi server, when you execute the process, you will get a base64 encoded string which is an PNG image containing a windrose chart.

You can display this base64 string in javascript as following:

var image = new Image();
image.src = BASE64_STRING_FROM_PYGEOAPI_SERVER;
document.body.appendChild(image);

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opencdms-rclimatic is an OpenCDMS component for working with the R `cdms.products` library

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