How to run the Argo file checker on any platform
In preparation for writing some real-time quality control code, the question arose of how to check modified Argo files to make sure that they conform to the specification in the Argo User’s Manual. The official tool is hosted on Ifremer and is written in Java. When the latest version is downloaded you can run a shell command that will check one or more files. Running a bash
shell, this can be done in a few lines:
# download and unpack the tool in the current working directory
curl https://www.seanoe.org/data/00344/45538/data/83774.tar.gz | tar -xz
# set the working directory
cd format_control_1-17
# download a test Argo file to check
curl -o R4902533_001.nc \
https://data-argo.ifremer.fr/dac/meds/4902533/profiles/R4902533_001.nc
# ...and check it
java -cp ./resources:./jar/formatcheckerClassic-1.17-jar-with-dependencies.jar \
-Dapplication.properties=application.properties \
-Dfile.encoding=UTF8 \
oco.FormatControl \
R4902533_001.nc
<?xml version="1.0"?>
<coriolis_function_report>
<function>CO-03-08-03</function>
<comment>Control file data format</comment>
<date>23/06/2021 12:50:59</date>
<application_version>1.17</application_version>
<netcdf_file>R4902533_001.nc</netcdf_file>
<rules_file>Argo_Prof_c_v3.1_AUM_3.1_20201104.xml</rules_file>
<title>Argo float vertical profile</title>
<user_manual_version>3.1</user_manual_version>
<data_type>Argo profile</data_type>
<format_version>3.1</format_version>
<file_error>The variable "LATITUDE" is not correct: attribute "reference" forbidden</file_error>
<file_error>The variable "LATITUDE" is not correct: attribute "coordinate_reference_frame" forbidden</file_error>
<file_error>The variable "LONGITUDE" is not correct: attribute "reference" forbidden</file_error>
<file_error>The variable "LONGITUDE" is not correct: attribute "coordinate_reference_frame" forbidden</file_error>
<file_error>The optional variable "PRES" is not correct: attribut "coordinate_reference_frame" forbidden</file_error>
<file_error>The value of the attribute of variable "PRES_ADJUSTED:axis" is not correct: "Z" expected</file_error>
<file_compliant>no</file_compliant>
<status>ok</status>
</coriolis_function_report>
If you’re on Windows and you’re running in PowerShell or good ol’ cmd.exe
, you can just run command.bat R4902533_001.nc
(although you’ll need to download and extract the tool separately); a shell wrapper for Linux is also distributed but appears to hard-code the location of java
to the developer’s computer so you won’t be able to run it without some modification. If you’re on Windows and running Git Bash, you’ll need to replace the :
separating the class paths with \;
because that’s how the Java interpreter expects paths to be separated on Windows (and because ;
is a special character in bash
so you need to escape it with \
).
If you’re writing QC code in Python you can run the tool directly using the subprocess
module from the standard library.
import subprocess
import os
import tempfile
# handle the platform-dependence of the class-path separator
if os.name == 'nt':
classpath_sep = ';'
else:
classpath_sep = ':'
class_path_rel = ('./resources', './jar/formatcheckerClassic-1.17-jar-with-dependencies.jar')
class_path = classpath_sep.join(class_path_rel)
# construct arguments as a list()
args = [
'java', '-cp', class_path,
'-Dapplication.properties=application.properties',
'-Dfile.encoding=UTF8',
'oco.FormatControl',
'R4902533_001.nc'
]
result = subprocess.run(args, cwd='format_control_1-17', capture_output=True)
result.check_returncode()
This will run the tool and check for a non-zero status code (e.g., java
fails to start). The bytes of the xml are available as result.stdout
(if you want to output directly to stdout you can do so by omitting capture_output=True
). You can then parse the results using the xml.etree.ElementTree
class:
from xml.etree import ElementTree
import io
root = ElementTree.parse(io.BytesIO(result.stdout)).getroot()
errors = [el.text for el in root.findall('file_error')]
errors
['The variable "LATITUDE" is not correct: attribute "reference" forbidden',
'The variable "LATITUDE" is not correct: attribute "coordinate_reference_frame" forbidden',
'The variable "LONGITUDE" is not correct: attribute "reference" forbidden',
'The variable "LONGITUDE" is not correct: attribute "coordinate_reference_frame" forbidden',
'The optional variable "PRES" is not correct: attribut "coordinate_reference_frame" forbidden',
'The value of the attribute of variable "PRES_ADJUSTED:axis" is not correct: "Z" expected']
You can use a similar trick to run and parse the results in R with the help of the processx and xml2 packages.
classpath_sep <- if (Sys.info()["sysname"] == "Windows") ";" else ":"
classpath <- paste(
"./resources",
"./jar/formatcheckerClassic-1.17-jar-with-dependencies.jar",
sep = classpath_sep
)
args <- c(
"-cp", classpath,
"-Dapplication.properties=application.properties",
"-Dfile.encoding=UTF8",
"oco.FormatControl",
"R4902533_001.nc"
)
result <- processx::run("java", args, wd = "format_control_1-17")
root <- xml2::read_xml(result$stdout)
errors <- xml2::xml_text(xml2::xml_find_all(root, "file_error"))
errors
[1] "The variable \"LATITUDE\" is not correct: attribute \"reference\" forbidden"
[2] "The variable \"LATITUDE\" is not correct: attribute \"coordinate_reference_frame\" forbidden"
[3] "The variable \"LONGITUDE\" is not correct: attribute \"reference\" forbidden"
[4] "The variable \"LONGITUDE\" is not correct: attribute \"coordinate_reference_frame\" forbidden"
[5] "The optional variable \"PRES\" is not correct: attribut \"coordinate_reference_frame\" forbidden"
[6] "The value of the attribute of variable \"PRES_ADJUSTED:axis\" is not correct: \"Z\" expected"
There are some complexities that aren’t handled by the simple cases above. The tool and/or the rules used to determine what constitutes a <file_error>
are updated several times a year and keeping the tool up-to-date requires a manual check if it’s installed above. These bits of code also assume that when you type java
at a terminal that you actually get a Java interpreter! This is not always the case and configuring a Java VM can be complex.
To solve these issues I put together a proof-of-concept Python tool + Docker image that boil the above steps down to a one-liner:
# once per computer: docker pull paleolimbot/argo-checker
curl -s https://data-argo.ifremer.fr/dac/meds/4902533/profiles/R4902533_001.nc | \
docker run --rm paleolimbot/argo-checker --update check > result.xml
Searching for installed tool in '/argo-checker'
Installed tool found at '/argo-checker/tool_83774'.
Checking for newer version, as requested...
Checking for latest tool at <https://doi.org/10.17882/45538>...
Latest tool source is located at <https://www.seanoe.org/data/00344/45538/data/83774.tar.gz>.
Version is latest version.
Running 'java -cp ./resources:./jar/formatcheckerClassic-1.17-jar-with-dependencies.jar -Dapplication.properties=application.properties -Dfile.encoding=UTF8 oco.FormatControl /tmp/tmpytrg3qyn.nc'
You can then process ‘result.xml’ using whatever tool you’d like! Probably a more robust option would be to rewrite the Java tool in Python, but that’s a battle for another day.
For attribution, please cite this work as
Dunnington (2021, June 23). Argo Canada Development Blog: Checking Argo Files. Retrieved from https://argocanada.github.io/blog/posts/2021-06-23-checking-argo-files/
BibTeX citation
@misc{dunnington2021checking, author = {Dunnington, Dewey}, title = {Argo Canada Development Blog: Checking Argo Files}, url = {https://argocanada.github.io/blog/posts/2021-06-23-checking-argo-files/}, year = {2021} }