A TOUGH2/Waiwera interface to PEST
Project description
goPEST
goPEST is a set of utilities used to interface PEST with Waiwera and (AU)TOUGH2 simulators.
Install
The easiest way to install goPEST is:
python -m pip install gopest
Input files
User needs to prepare a few files for goPEST to work:
-
goPESTconfig.toml
, this file contains all settings/configurations related to the running of goPEST. It is written in TOML file format. The file should be placed in the project folder, where user runs gopest commands from. It is possible to let goPEST generate one with default values. The file tries to be self-explanatory with comments. -
goPESTpar.list
is where user specifies model parameters for PEST -
goPESTobs.list
is where user specifies model observations for PEST -
goPESTuser.py
is optional if user wish do perform customised setups when the simulation transit from one stage to the next stage in sequence of simulator runs (eg. usuallyns
andpr
normally natural state then followed by production history).
Basic usage
The main CLI script gopest
is to be followed by COMMAND and associated arguments:
gopest COMMAND [ARGUMENTS]
To get a list of supported COMMANDs, type gopest help
.
The first step is to initialise the working directory:
gopest init
will setup the current folder. If all goes well, user can simply run the command:
gopest submit
or
gopest run
to start the PEST run. Command submit
is for the NeSI cluster environment using SLURM. Job(s) will be submitted to the cluster queue. PEST master and agents will be launched automatically. On a local machine where user has full access gopest run
is used.
How goPEST works
Several tasks were performed by the init
command:
-
copy user's model files into what goPEST uses internally, these are the
real_model_xxx.*
files, in the current folder, which is also the master folder where PEST is expected to work on. -
go through
goPESTpar.list
, extract and set up parameter data in the PEST control file (usuallycase.pst
). The corresponding.tpl
files etc required by PEST will be set up. Note the parameters used in the real model will be extracted and used as the initial parameters in the PEST. -
go through
goPESTobs.list
, and set up observation data in the PEST control file. Corresponding PEST instruction file.ins
will also be set up automatically.
Development notes
- install an editable version of goPEST:
python -m pip install -e /path/to/repo/root
- run tests at the root of the repo:
python -m pytest
-
generalised model sequence runner? now loads user goPESTuser.py, but internal needs to generalise to have more than two run sequence
-
in run_ns_pr, code shouldn't worry about nesi/cluster related things, maybe not running local vs nesi either
-
remove obsreref rekated things, use pest_hp now
-
I have checked a few PEST related Python libraries. I am looking for something small and pure for basic editing of PEST control file. But these are too big for my liking. I should reconsider about using them.
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