Installation
- Login to the
cdds
account.xsudo -u cdds bash -l
- Activate the base
conda
environmentconda activate
- Obtain the conda environment file
wget https://raw.githubusercontent.com/MetOffice/CDDS/refs/tags/<tagname>/environment.yml
- Update locations pointed to within the environment file:
sed -i "s/<location>/X.Y.Z/" environment.yml
- Create environment
where
conda env create -f environment.yml -p $HOME/conda_environments/cdds-X.Y.Z
X.Y.Z
is the new version number of CDDS
Note
This has been updated following the roll out of Conda to MO systems. If the -p
option is omitted then the installation will end up
under $HOME/.conda
and will not be visible to other users.
- Activate environment and set
CDDS_ENV_COMMAND
variable:whereconda activate cdds-X.Y.Z conda env config vars set CDDS_ENV_COMMAND="conda activate $HOME/conda_environments/cdds-X.Y.Z"
X.Y.Z
is the new version number of CDDS ``` - Set platform in the
CDDS_PLATFORM
variable:conda activate cdds-X.Y.Z conda env config vars set CDDS_PLATFORM=AZURE
-
Confirm environment variables:
echo $CYLC_VERSION echo $LC_ALL echo $TZ echo $CDDS_PLATFORM echo $CDDS_ETC echo $CDDS_ENV_COMMAND
Variable Value $CYLC_VERSION
8
$LC_ALL
en_GB.UTF-8
$TZ
UTC
$CDDS_PLATFORM
AZURE
$CDDS_ETC
$HOME/etc
$CDDS_ENV_COMMAND
$conda activate $HOME/conda_environments/cdds-3.2.0
- Login to one of the JASMIN sci-servers as the
cdds
user. - Activate the
base
miniforgeconda
environmentsource $HOME/software/miniforge3/bin/activate
- Obtain the conda environment file for the release.
wget https://raw.githubusercontent.com/MetOffice/CDDS/refs/tags/<tagname>/environment.yml
- Update locations pointed to within the environment file (omitting the leading
v
)sed -i "s/<location>/X.Y.Z/" environment.yml
- Uncomment the
cdds
andmip_convert
python pip install lines.#- git+ssh://git@github.com-deploy/MetOffice/CDDS.git@v<location>#egg=cdds&subdirectory=cdds #- git+ssh://git@github.com-deploy/MetOffice/CDDS.git@v<location>#egg=mip_convert&subdirectory=mip_convert
- Create environment, where
X.Y.Z
is the new version number of CDDSconda env create -f environment.yml -p $HOME/conda_environments/cdds-X.Y.Z
- Set the
CDDS
variables making sure to replaceX.Y.Z
with the appropriate version number.conda env config vars set CDDS_PLATFORM=JASMIN conda env config vars set CDDS_ETC=$HOME/etc conda env config vars set CDDS_ENV_COMMAND="$HOME/software/miniforge3/bin/activate $HOME/conda_environments/cdds-X.Y.Z"
- Deactivate the environment
conda deactivate
-
Confirm that the environment variables were set correctly.
$HOME/software/miniforge3/bin/activate $HOME/conda_environments/cdds-X.Y.Z
echo $CYLC_VERSION echo $LC_ALL echo $TZ echo $CDDS_PLATFORM echo $CDDS_ETC echo $CDDS_ENV_COMMAND
Variable Value $CYLC_VERSION
8
$LC_ALL
en_GB.UTF-8
$TZ
UTC
$CDDS_PLATFORM
JASMIN
$CDDS_ETC
$HOME/etc
$CDDS_ENV_COMMAND
$HOME/software/miniforge3/bin/activate $HOME/conda_environments/cdds-X.Y.Z
Ensure all the tests pass in the 'real live environment'
Warning
Tests can only be run on Azure (Met Office).
- The tests must be executed as the
cdds
user - Set the following environment variable, making sure to replace
X.Y.Z
with the relevant version.export SRCDIR=$HOME/conda_environments/cdds-X.Y.Z/lib/python3.10/site-packages
- Run the following tests.
echo "# Executing tests for cdds:" pytest -s $SRCDIR/cdds --doctest-modules -m 'not slow and not integration and not rabbitMQ and not data_request' pytest -s $SRCDIR/cdds -m slow pytest -s $SRCDIR/cdds -m integration pytest -s $SRCDIR/cdds -m data_request echo "# Executing tests for mip_convert:" pytest -s $SRCDIR/mip_convert --doctest-modules -m 'not slow and not mappings and not superslow' pytest -s $SRCDIR/mip_convert -m mappings pytest -s $SRCDIR/mip_convert -m slow
Info
Slow unit tests for transfer
and cdds_configure
will display error messages to standard output. This is intentional,
and does not indicate the tests fail (see transfer.tests.test_command_line.TestMainStore.test_transfer_functional_failing_moo()
for details).
Troubleshooting
Info
If the wheel
installation fails then you can end up with #!python
rather than the full paths – this is known to be caused by not having
_DEV
updated in the packages, possibly due to tagging without pulling the release branch from the repository first