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WRES Scripts Usage Guide
The WRES team has created Python and bash scripts that allow for easier interaction with a WRES wres-service implementation, such as the Central OWP WRES (COWRES) hosted at the National Water Center in Alabama. Both scripts employ the same command-line options.
Before reading the below, note the following:
- Any WRES web-service must have a URL through which the service is accessed. In the instructions below, that WRES web-service URL is referred to as [web-service URL].
- Any WRES web-service should use TLS/SSL to secure the endpoint, meaning that HTTPS should be used. A certificate to authenticate the service will need to be created. That certificate is referred to as teh [web-service CA .pem] in the instructions below.
Python:
python path/to/wres_caller.py [-h] [-f FILENAME] [-u HOST] [-c CERT] [-o OUTPUT] [-l OBSERVED] [-p PREDICTED] [-b BASELINE] [-k] [-s]
Bash:
./path/to/wres_caller.sh [-h] [-f FILENAME] [-u HOST] [-c CERT] [-o OUTPUT] [-l OBSERVED] [-p PREDICTED] [-b BASELINE] [-k] [-s]
Options | Description |
---|---|
-f , --filename
|
Declaration filename |
-u , --host
|
The web-service URL (without the http/https prefix); defaults to the WRES_HOST_NAME environment variable. |
-c , --cert
|
The web-service CA .pem file to authenticate the WRES instance; defaults to WRES_CA_FILE environment variable. |
-o , --output
|
Directory where output is to be written in relation to directory calling the script from. |
-l , --observed
|
Data to post for the observed sources either one file or a directory. |
-p , --predicted
|
Data to post for the predicted sources either one file or a directory. |
-b , --baseline
|
Data to post for the baseline sources either one file or a directory. |
-k , --keep_input
|
Instruct COWRES to not remove posted data after evaluation is completed. |
-s , --silent
|
Suppresses additional logging produced by this script. |
The following flag is only available in the python version of the script:
Options | Description |
---|---|
-h , --help
|
Lists the available options for the script. |
-
-f
,--filename
: All executions are tied to a evaluation declaration -
-u
,--host
: The URL of the WRES web-service you want to leverage (defaults toWRES_HOST_NAME
environment variable if not defined) -
-c
,--cert
: The TLS certificate authority .pem used for authenticating that web-service (defaults toWRES_CA_FILE
environment variable)
-
Basic use-case: Will execute the provided
testEvaluation.yml
declaration and download output to the current directory:./wres_caller.sh --cert [web-service CA .pem] --host [web-service URL] -f testEvaluation.yml
-
Complex use-case: Will execute the provided
testEvaluation.yml
declaration, uploading data for observed, predicted, and baseline, and storing the results in a specific location:./wres_caller.sh --cert [web-service CA .pem] --host [web-service URL] -f testEvaluation.yml --observed path/to/observed_data_directory --predicted path/to/predicted_file.csv --baseline path/to/baseline_file_tarred_and_gzipped.tgz --output directory/to/store/output
If posting custom evaluation data sets to the WRES web-service, be sure to prepare the YAML declaration accordingly
The sources
entries for data to be posted must be omitted. For more information, see First prepare the declaration by omitting the sources for data to be sent directly.
Depending where you are using this script from, you may not have the required python libraries to use it. If you have the ability to pip install <library>
onto your machine then you can do that, but if you are on a machine where you do not have those permissions then here is a guide on how to set up a virtual python environment to use the script.
Execution of the wres_caller.py script requires the Python libraries requests and urllib3. To create your run environment, required only the first time, do the following:
$ python -m venv ./venv
To activate your environment and prepare it for executing the script, do the following:
$ source venv/bin/activate
(venv) $ pip install requests
(venv) $ pip install urllib3==1.26.6
You can then run the script with a -h argument to list options:
(venv) $ python [path]/wres_caller.py -h
Note that the install of a specific version of urllib3 may not be required. To test if it is required, run the script with -h before installing urllib3. If it works, then you should be good to go. Also note that the same @venv@ can be employed for future executions of the script without needing to install the packages again.
The WRES Wiki
-
Options for Deploying and Operating the WRES
- Obtaining and using the WRES as a standalone application
- WRES Local Server
- WRES Web Service (under construction)
-
- Format Requirements for CSV Files
- Format Requirements for NetCDF Files
- Introductory Resources on Forecast Verification
- Instructions for Human Interaction with a WRES Web-service
- Instructions for Programmatic Interaction with a WRES Web-service
- Output Format Description for CSV2
- Posting timeseries data directly to a WRES web‐service as inputs for a WRES job
- WRES Scripts Usage Guide