Skip to main content

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. usually ns and pr 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 (usually case.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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gopest-0.0.8.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

goPEST-0.0.8-py3-none-any.whl (151.0 kB view details)

Uploaded Python 3

File details

Details for the file gopest-0.0.8.tar.gz.

File metadata

  • Download URL: gopest-0.0.8.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for gopest-0.0.8.tar.gz
Algorithm Hash digest
SHA256 80bb84af5ebb3f2d73ef99660a1aea321631f7511aecb6743d90325388cc79bf
MD5 8cf6744f70b2e3ae15c12333e0584984
BLAKE2b-256 1bae2e3b3918248cfc827a7eafc8717156875c5bcb589ede6ce90bb25658cb8d

See more details on using hashes here.

File details

Details for the file goPEST-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: goPEST-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 151.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for goPEST-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 903d33442ae96704f7203264b81c58f53d6152b2847f06f3afffddd0cfb40634
MD5 1106f6a8775862a302d444227cc28e4e
BLAKE2b-256 31dbc2ba71ef1a57da46e5e8d91da0a35f9a7f19176d55f5d8b2a60f887f9168

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page