.. include:: ../../global.rst Starting simulations via command line ===================================== Alternative Mechanisms ---------------------- #. Start |ap-nimbus-app-manager| and call its endpoint from the command line. |br| See :ref:`running-app-manager`. #. Run |appredict-with-emulators| or |appredict-no-emulators| in isolation/standalone. |br| See :ref:`running-appredict`. #. Start |ap-nimbus-app-manager| and a database as you normally would for |ap-nimbus-client-direct| (see :ref:`running-client-direct-prerequisites`), but rather than use the |client-direct| |UI|, instead invoke |ap-nimbus-client-direct| from the command line as below. Invoking |ap-nimbus-client-direct| as a |CLI| --------------------------------------------- Apart from using the web front-end in the form of :ref:`activity_client_direct`, |ap-nimbus-client-direct| also offers a command-line tool for starting simulations. In order to call this tool, it needs a setup with Python, the same installed components as the web front-end and access to the database (see :ref:`running-client-direct-prerequisites`). The most conveniant way to achieve this is to start a docker component specifically for the purpose of starting simulations in command line. |br| The example below starts a docker component and shows the various command line options available. .. note:: Any path to PK data files is local to the docker component. :: sudo docker run -it \ --rm \ --net ap-nimbus-network \ -v volume-client:/opt/django/media \ --env-file env \ cardiacmodelling/ap-nimbus-client-direct: \ python manage.py start_simulation -h usage: manage.py start_simulation [-h] [--model_year MODEL_YEAR] [--model_version MODEL_VERSION] [--notes NOTES] [--pacing_frequency PACING_FREQUENCY] [--maximum_pacing_time MAXIMUM_PACING_TIME] [--ion_current_type ION_CURRENT_TYPE] [--ion_units ION_UNITS] [--concentration_type PK_OR_CONCS] [--minimum_concentration MINIMUM_CONCENTRATION] [--maximum_concentration MAXIMUM_CONCENTRATION] [--intermediate_point_count INTERMEDIATE_POINT_COUNT] [--intermediate_point_log_scale INTERMEDIATE_POINT_LOG_SCALE] [--PK_data_file PK_DATA] [--concentration_point CONCENTRATION_POINT] [--current_inhibitory_concentration concentration hill coefficient saturation level spread of uncertainty] [--version] [-v {0,1,2,3}] [--settings SETTINGS] [--pythonpath PYTHONPATH] [--traceback] [--no-color] [--force-color] [--skip-checks] title author_email model_name positional arguments: title Title to identify sumulations. Please note: use quotes if the title contains spaces or quotes. author_email Email address of the author for which the simulation is run model_name The name of the model to use. If the name is not unique, please also specify year and/or version. Please note: use quotes if the model name contains spaces or quotes. optional arguments: -h, --help show this help message and exit --model_year MODEL_YEAR The year for a specified model, to tell models with the same name apart e.g. 2020 --model_version MODEL_VERSION The model version, where a model has multiple versions e.g. CiPA-v1.0 --notes NOTES Textual notes for the simulation. Please note: use quotes if the notes contain spaces or quotes. --pacing_frequency PACING_FREQUENCY (in Hz) Frequency of pacing (between 0.05 and 5). --maximum_pacing_time MAXIMUM_PACING_TIME (in mins) Maximum pacing time (between 0 and 120). --ion_current_type ION_CURRENT_TYPE Ion current type: (pIC50 or IC50) --ion_units ION_UNITS Ion current units. (-log(M), M, µM, or nM) --concentration_type PK_OR_CONCS, --pk_or_concs PK_OR_CONCS Concentration specification type. (compound_concentration_range, compound_concentration_points, or pharmacokinetics) --minimum_concentration MINIMUM_CONCENTRATION (in µM) at least 0. --maximum_concentration MAXIMUM_CONCENTRATION (in µM) > minimum_concentration. --intermediate_point_count INTERMEDIATE_POINT_COUNT Count of plasma concentrations between the minimum and maximum (between 0 and 10). --intermediate_point_log_scale INTERMEDIATE_POINT_LOG_SCALE Use log scale for intermediate points. --PK_data_file PK_DATA, --PK_data PK_DATA File format: tab-seperated values (TSV). Encoding: UTF-8 Column 1 : Time (hours) Columns 2-31 : Concentrations (µM). --concentration_point CONCENTRATION_POINT Specify compound concentrations points one by one. For example for points 0.1 and 0.2 specify as follows: --concentration_point 0.1 --concentration_point 0.2 --current_inhibitory_concentration concentration hill coefficient saturation level spread of uncertainty Inhibitory concentrations, one by one e.g. --current_inhibitory_concentration INa 0.5 1 0 0 --version Show program's version number and exit. -v {0,1,2,3}, --verbosity {0,1,2,3} Verbosity level; 0=minimal output, 1=normal output, 2=verbose output, 3=very verbose output --settings SETTINGS The Python path to a settings module, e.g. "myproject.settings.main". If this isn't provided, the DJANGO_SETTINGS_MODULE environment variable will be used. --pythonpath PYTHONPATH A directory to add to the Python path, e.g. "/home/djangoprojects/myproject". --traceback Raise on CommandError exceptions. --no-color Don't colorize the command output. --force-color Force colorization of the command output. --skip-checks Skip system checks.