malaria-model_validation

Table of Contents

• User Installation
  • Installation
  • Pre-requisites
• Run workflow
  • Login to Comps
  • Option 1: Run all Sites with Snakemake
  • Option 2: Run Sites in Certain Subset(s) with Snakemake
  • How to Change Default Setting
  • Snakemake Tips
• Check Plots and Final Report

User Installation

Note: we recemend to upgrade pip to the latest version before installation:

pip install --upgrade pip

Installation

Run the following command: ( it will install this project in editable/'develop' mode):

pip install -e . -r requirements.txt

or you can run

pip install -e . -i https://packages.idmod.org/api/pypi/pypi-production/simple

Pre-requisites

• Python 3.9 x64

If you see the following error during installation: You may need to install C++ Build Tools from this link: https://visualstudio.microsoft.com/visual-cpp-build-tools/

If you see error about conflicting dependencies on Pandas:

ERROR: Cannot install idmtools-cli and malaria-model-validation because these package versions have conflicting dependencies.
The conflict is caused by:
    datar 0.0.0 depends on pandas<2.0 and >=1.2
    plotnine 0.1.0 depends on pandas>=0.19.0
    idmtools 1.6.6 depends on pandas<1.2 and >=1.1.4

Idmtools has dependencies with an old pandas version, we have opened a ticket to update this dependency on idmtools and are waiting for a patch release: https://github.com/InstituteforDiseaseModeling/idmtools/issues/1774. For now, you can workarround this error by removing 'datar' from our requirements.txt and install it after installating our package with "pip install datar".

Run Workflow

Login to Comps

If you haven't login to Comps for a while, you can run the following script to login and cache your credential:

cd simulations
python3 create_auth_token_args.py -u {your-comps-username}

When you see "Password:" in the terminal, enter your comps password and hit enter key.

Option 1: Run all Sites with Snakemake

Run the snakemake pipeline with all sites in simulation_coordinator.csv:

snakemake -j

Option 2: Run Sites in Certain Subset(s) with Snakemake

Run the snakemake pipeline with sites in one or multiple subsets in simulation_coordinator.csv:

snakemake --config -s="core_relationship" -j

or

snakemake --config -s="core_relationship, infection_duration" -j

How to Change Default Setting

• Some details about our default setting:
  • By default, the workflow will copy the Eradication and schema files from corresponding emod_malaria package to "simulations\download" folder and run experiments with them. If you would like to run against a certain copy of Eradication, you can set "use_local_eradication = 1" in "\simulations\manifest.py" and copy the Eradication and schema files to "simulations\download" folder by yourself.
  • By default, the workflow will run simulations in singularity container in Comps. The singularity image used in the workflow is defined as "singularity_id" in "\simulations\manifest.py". Set this id to None will disable running with singularity container and run directly in Comps environment(CentOS + Python 3.6 in Calculon).

Snakemake Tips

• Some snakemake tips about running the workflow:

  • If you want to re-run the whole workflow, clean up your environment with "snakemake clean -j" and run "snakemake -j" again:

    snakemake clean -j
    snakemake -j

  • If you make change locally in simulation_coordinator.csv, run the generate_site_rules.py to regenerate snakemake rules(run this script every time you update your simulation_coordinator.csv):

    python3 generate_site_rules.py
    snakemake -j

  • If you want to re-run the analyzers steps with previous experiments you ran, you can delete the analyzer id files and all following the analyzers steps and run:

    snakemake clean_ana -j
    snakemake -j

  • Simular to previous scenario, if you want to only re-run starting from the download steps:

    snakemake clean_download -j
    snakemake -j

  • Simular to previous scenario, if you want to only re-run starting from the plotting steps:

    snakemake clean_plot -j
    snakemake -j

  • Simular to previous scenario, if you want to only re-run starting from the reporting steps:

    snakemake clean_report -j
    snakemake -j

  • If you want to re-run simulations for certain sites, delete COMPS ID files for those sites that you want to -re-run (/simulations/COMPS_ID/{site_name}_COMPS_ID_exp_submit, _analyzers and _download files) and run "snakemake clean_plot -j" and then "snakemake -j" again.

  • If you want to re-run the analyzers and plotting steps for certain sites, delete the {site_name}_COMPS_ID_analyzers and _download files only and run "snakemake clean_plot -j" and then "snakemake -j".

• Other snakemake tips:

  • Snakemake log can be found in '\malaria-model_validation\simulations.snakemake\log'.
  • If your working directory is locked by snakemake by accident (for example, your machine is powered off with a running Snakemake instance will cause a stale lock), you can run "snakemake --unlock -j" to remove the stale lock.
  • If you have incompleted file from previous snakemake instance, you can run "snakemake --cleanup-metadata " to clean up the metadata. Or you can delete the '.snakemake' folder to clean up the metadata manually.

Check Plots and Final Report

You can check the plots in \malaria-model_validation\report_plots folder and final report: \malaria-model_validation\report\Malaria_model_validationoutput{date}}({time}).pdf.