Title: Programmatic Interface to 'OpenM++'
Version: 0.0.1
Description: A programmatic interface to the 'OpenM++' microsimulation platform (https://openmpp.org). The primary goal of this package is to wrap the 'OpenM++' Web Service (OMS) to provide 'OpenM++' users a programmatic interface for the R language.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2.9000
Depends: R (≥ 4.1.0)
Imports: cli, curl, glue, httr2, jsonlite, purrr, R6, readr, rlang, tibble, tidyr, tidyselect
URL: https://github.com/mattwarkentin/openmpp, https://mattwarkentin.github.io/openmpp/
BugReports: https://github.com/mattwarkentin/openmpp/issues
Collate: 'API-CPAC.R' 'API-Local.R' 'API-Remote.R' 'Utils.R' 'ClassModel.R' 'ClassModelRun.R' 'ClassModelRunSet.R' 'ClassWorkset.R' 'RunOptions.R' 'Scenario.R' 'oms-Administrative.R' 'oms-DownloadModels.R' 'oms-ModelExtras.R' 'oms-ModelMetadata.R' 'oms-ModelRunResults.R' 'oms-ModelWorksetMetadata.R' 'oms-ModelingTaskMetadata.R' 'oms-ReadMicrodata.R' 'oms-ReadOutputTables.R' 'oms-ReadParameters.R' 'oms-RunModels.R' 'oms-Services.R' 'oms-UpdateModelProfile.R' 'oms-UpdateModelRuns.R' 'oms-UpdateModelWorkset.R' 'oms-UpdateModelingTasks.R' 'oms-UploadModels.R' 'oms-UserFiles.R' 'oms-UserSettings.R' 'openmpp-package.R' 'zzz.R'
Suggests: gh, pingr, sys, testthat (≥ 3.0.0), withr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-07-16 21:34:48 UTC; matt
Author: Matthew T. Warkentin ORCID iD [aut, cre, cph], John M. Hutchinson [ctb]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>
Repository: CRAN
Date/Publication: 2025-07-19 09:20:02 UTC

openmpp: Programmatic Interface to 'OpenM++'

Description

A programmatic interface to the 'OpenM++' microsimulation platform (https://openmpp.org). The primary goal of this package is to wrap the 'OpenM++' Web Service (OMS) to provide 'OpenM++' users a programmatic interface for the R language.

Author(s)

Maintainer: Matthew T. Warkentin matthew.warkentin@ucalgary.ca (ORCID) [copyright holder]

Other contributors:

See Also

Useful links:

OpenM++ Administrative Tasks

Description

Functions for performing administrative tasks. More information about the administrative API endpoints can be found at here.

Usage

admin_models_refresh()

admin_models_close()

admin_database_close(model)

admin_model_delete(model)

admin_database_open(path)

admin_database_cleanup(path, name = NULL, digest = NULL)

admin_cleanup_logs()

admin_cleanup_log(name)

admin_jobs_pause(pause)

admin_jobs_pause_all(pause)

admin_service_shutdown()

Arguments

model

Model digest or model name.

path

Path to model database file relative to the models/bin folder. For example, the name of the model with a ".sqlite" extension.

name

Model name. Optional for admin_database_cleanup().

digest

Model digest. Optional for admin_database_cleanup().

pause

Logical. Whether to pause or resume model runs queue processing.

Details

To find the relative path to a database file for cleanup with admin_database_cleanup(path) or opening a database file with admin_database_open(path), users can run the get_models_list() function to retrieve the list of model information and find the DbPath list item. DbPath is the relative path to the database file. You must replace the forward-slashes in the relative path with asterisks.

Value

A list or nothing, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
admin_models_refresh()

## End(Not run)

Manage Model Scenarios

Description

Manage Model Scenarios

Usage

create_scenario(model, name, base = NULL)

create_workset(model, name, base = NULL)

Arguments

model

Model name or digest.

name

New scenario name.

base

Base run digest (optional).

Value

Nothing, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
create_scenario("RiskPaths", "NewScenario")

## End(Not run)

Update Modeling Tasks

Description

Functions for updating modeling tasks. More information about these API endpoints can be found at here.

Usage

create_task(data)

update_task(data)

delete_task(model, task)

Arguments

data

Data used for the body of the request.

model

Model digest or model name.

task

Modeling task.

Value

A list, tibble, or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
create_task(list(
  ModelName = "RiskPaths",
  ModelDigest = "d976aa2fb999f097468bb2ea098c4daf",
  Name = "NewTask",
  Set = list("Default")
))
delete_task("RiskPaths", "NewTask")

## End(Not run)

Update Model Runs

Description

Functions to update model runs. More information about these API endpoints can be found at here.

Usage

delete_model_run(model, run)

delete_run(model, run)

delete_model_runs(model)

delete_runs(model)

Arguments

model

Model digest or model name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

Value

A list, tibble, or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
delete_model_run("RiskPaths", "53300e8b56eabdf5e5fb112059e8c137")

## End(Not run)

Model Metadata

Description

Functions to get the list of models and load a specific model definition. More information about these API endpoints can be found at here.

Usage

get_model(model)

get_models()

get_models_list()

Arguments

model

Model digest or model name.

Value

A list or tibble.

Examples

## Not run: 
use_OpenMpp_local()
get_models()
get_models_list()
get_model("RiskPaths")

## End(Not run)

Model Extras

Description

Functions for retrieving extra model information, including language lists, word lists, profiles, and profile lists. More information about these API endpoints can be found at here.

Usage

get_model_lang_list(model)

get_model_word_list(model)

get_model_profile(model, profile)

get_model_profile_list(model)

Arguments

model

Model digest or model name.

profile

Profile name.

Value

A list from a JSON response object.

Examples

## Not run: 
use_OpenMpp_local()
get_model_lang_list('RiskPaths')

## End(Not run)

Model Run Results Metadata

Description

Functions to retrieve model run metadata and delete model runs. More information about these API endpoints can be found at here.

Usage

get_model_run(model, run)

get_run(model, run)

get_model_runs_list(model)

get_model_runs(model)

get_runs(model)

get_model_run_status(model, run)

get_run_status(model, run)

get_model_run_list_status(model, run)

get_model_run_status_first(model)

get_model_run_status_last(model)

get_model_run_status_compl(model)

Arguments

model

Model digest or model name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

Value

A list, tibble, or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
get_model_run("RiskPaths", "53300e8b56eabdf5e5fb112059e8c137")
get_run("RiskPaths", "53300e8b56eabdf5e5fb112059e8c137")
get_model_runs_list("RiskPaths")
get_model_runs("RiskPaths")

## End(Not run)

Modeling Task Metadata

Description

Functions for getting creating, updating, retrieving, and deleting model tasks. More information about these API endpoints can be found at here.

Usage

get_model_task(model, task)

get_model_tasks_list(model)

get_model_tasks(model)

get_model_task_worksets(model, task)

get_model_task_hist(model, task)

get_model_task_status(model, task, run)

get_model_task_run_list_status(model, task, run)

get_model_task_run_first(model, task)

get_model_task_run_last(model, task)

get_model_task_run_compl(model, task)

Arguments

model

Model digest or model name.

task

Modeling task.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

Value

A list, tibble, or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
get_model_tasks_list("RiskPaths")
get_model_tasks("RiskPaths")

## End(Not run)

Read Run Microdata

Description

Functions for retrieving microdata from model runs. More information about these API endpoints can be found at here.

Usage

get_run_microdata(model, run, name)

get_run_microdata_csv(model, run, name)

Arguments

model

Model digest or model name.

run

Model run digest, run stamp or run name, modeling task run stamp, or task run name.

name

Microdata entity name.

Value

A list or tibble.

Examples

## Not run: 
use_OpenMpp_local()
get_run_microdata_csv("RiskPaths", "53300e8b56eabdf5e5fb112059e8c137", "Person")

## End(Not run)

Read Output Tables

Description

Functions for retrieving output tables from model runs. More information about these API endpoints can be found at here.

Usage

get_run_table(model, run, name)

get_run_table_csv(model, run, name)

get_run_table_calc_csv(model, run, name, calc)

get_run_table_comparison_csv(model, run, name, compare, variant)

Arguments

model

Model digest or model name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

name

Output table name.

calc

Name of calculation. One of "avg", "sum", "count", "max", "min", "var", "sd", "se", or "cv".

compare

Comparison to calculate. One of "diff", "ratio", or "percent". Comparisons are for the base run relative to the variant run (i.e., for "diff" it is the difference of values represented as Variant - Base).

variant

Run digest, name, or stamp for the variant model run.

Value

A list or tibble.

Examples

## Not run: 
use_OpenMpp_local()
get_run_table_csv("RiskPaths", "53300e8b56eabdf5e5fb112059e8c137", "T01_LifeExpectancy")

## End(Not run)

OpenM++ Model Run Jobs and Service State

Description

Functions for retrieving or deleting service information. More information about these API endpoints can be found at here.

Usage

get_service_config()

get_service_state()

get_disk_use()

refresh_disk_use()

get_active_job_state(job)

get_queue_job_state(job)

get_hist_job_state(job)

set_queue_job_pos(pos, job)

delete_job_hist(job)

Arguments

job

Model run submission time stamp.

pos

Position.

Value

A list from a JSON response object, or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
get_service_config()
get_service_state()
get_disk_use()

## End(Not run)

Manage OpenM++ User Files

Description

Functions for getting, setting, and deleting user file. More information about these API endpoints can be found at here.

Usage

get_user_files(ext = "*", path = "")

upload_user_files(path)

create_user_files_folder(path)

delete_user_files(path)

delete_user_files_all()

Arguments

ext

Comma-separated string of file extensions. Default is "*" which returns all files.

path

Optional file path. Default is "" (empty) and returns the entire tree of user files.

Value

A list from JSON response object or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
get_user_files()

## End(Not run)

Manage OpenM++ User Settings

Description

Functions for getting, setting, and deleting user settings. More information about these API endpoints can be found at here.

Usage

get_user_views(model)

set_user_views(model, data)

delete_user_views(model)

Arguments

model

Model digest or model name.

data

Data used for the body of the request.

Value

A list from JSON response object or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
get_user_views("RiskPaths")

## End(Not run)

Model Workset Metadata

Description

Functions for creating, copying, merging, retrieving, and deleting worksets. More information about these API endpoints can be found at here.

Usage

get_workset(model, set)

get_worksets_list(model)

get_worksets(model)

get_scenarios(model)

get_workset_status(model, set)

get_workset_status_default(model)

Arguments

model

Model digest or model name.

set

Name of workset (input set of model parameters).

Value

A list, tibble, or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
get_worksets("RiskPaths")
get_scenarios("RiskPaths")
get_workset("RiskPaths", "Default")

## End(Not run)

Read Parameters

Description

Functions for retrieving parameters from worksets or model runs. More information about these API endpoints can be found at here.

Usage

get_workset_param(model, set, name)

get_workset_param_csv(model, set, name)

get_run_param(model, run, name)

get_run_param_csv(model, run, name)

Arguments

model

Model digest or model name.

set

Name of workset (input set of model parameters).

name

Output table name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

Value

A list or tibble.

Examples

## Not run: 
use_OpenMpp_local()
get_workset_param("RiskPaths", "Default", "AgeBaselinePreg1")

## End(Not run)

Download Model, Model Run Results, or Input Parameters

Description

Functions to download model, model run results, or input parameters. More information about these API endpoints can be found at here.

Usage

initiate_model_download(model)

initiate_run_download(model, run)

initiate_workset_download(model, set)

delete_download_files(folder)

delete_download_files_async(folder)

get_download_log(name)

get_download_logs_model(model)

get_download_logs_all()

get_download_filetree(folder)

Arguments

model

Model digest or model name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

set

Name of workset (input set of model parameters).

folder

Download folder file name.

name

Output table name.

Value

Nothing, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
get_download_logs_model('RiskPaths')

## End(Not run)

Upload Model Runs or Worksets

Description

Functions to upload model run results or input parameters (worksets). More information about these API endpoints can be found at here.

Usage

initiate_run_upload(model, run, data)

initiate_workset_upload(model, set, data)

delete_upload_files(folder)

delete_upload_files_async(folder)

get_upload_log(name)

get_upload_logs_model(model)

get_upload_logs_all()

get_upload_filetree(folder)

Arguments

model

Model digest or model name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

data

Data used for the body of the request.

set

Name of workset (input set of model parameters).

folder

Upload folder file name.

name

Output table name.

Value

Nothing, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
get_upload_logs_all()

## End(Not run)

Are data frames compatible?

Description

Are data frames compatible?

Usage

is_compatible(x, y)

Arguments

x

New parameters.

y

Old parameters

OpenM++ Model Class

Description

OpenM++ Model Class

Usage

load_model(model)

Arguments

model

Model digest or model name.

Value

An OpenMppModel instance.

Public fields

OpenMppType

OpenM++ object type (used for print() method).

ModelDigest

Model digest.

ModelName

Model name.

ModelVersion

Model version.

ModelMetadata

Model metadata.

ParamsInfo

Input parameter information.

TablesInfo

Output table information.

Active bindings

ModelWorksets

Data frame of worksets.

ModelScenarios

Data frame of scenarios.

ModelRuns

Data frame of model runs.

ModelTasks

Data frame of model tasks.

Methods

Public methods

Method new()

Create a new OpenMppModel object.

Usage
OpenMppModel$new(model)
Arguments
model

Model digest or name.

Returns

A new OpenMppModel object.

Method print()

Print a OpenMppModel object.

Usage
OpenMppModel$print(...)
Arguments
...

Not currently used.

Returns

Self, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
load_model("RiskPaths")

## End(Not run)

OpenM++ ModelRun Class

Description

OpenM++ ModelRun Class

Usage

load_model_run(model, run)

load_run(model, run)

Arguments

model

Model digest or model name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

Details

load_run() is an alias for load_model_run().

Value

An OpenMppModelRun instance.

Super class

openmpp::OpenMppModel -> OpenMppModelRun

Public fields

RunName

Run name.

RunDigest

Run digest.

RunStamp

Run stamp.

RunMetadata

Run metadata.

Parameters

Model run parameters.

Tables

Model run output tables

OpenMppType

OpenM++ object type (used for print()).

Active bindings

RunStatusInfo

Run status information.

RunStatus

Run status.

Methods

Public methods

Method new()

Create a new OpenMppModelRun object.

Usage
OpenMppModelRun$new(model, run)
Arguments
model

Model digest or name.

run

Run digest, run stamp, or run name.

Returns

A new OpenMppModelRun object.

Method print()

Print a OpenMppModelRun object.

Usage
OpenMppModelRun$print(...)
Arguments
...

Not currently used.

Returns

Self, invisibly.

Method get_table()

Retrieve a table.

Usage
OpenMppModelRun$get_table(name)
Arguments
name

Table name.

Returns

A tibble.

Method get_table_calc()

Retrieve a table calculation.

Usage
OpenMppModelRun$get_table_calc(name, calc)
Arguments
name

Table name.

calc

Name of calculation. One of "avg", "sum", "count", "max", "min", "var", "sd", "se", or "cv".

Returns

A tibble.

Method get_table_comparison()

Retrieve a table comparison.

Usage
OpenMppModelRun$get_table_comparison(name, compare, variant)
Arguments
name

Table name.

compare

Comparison to calculate. One of "diff", "ratio", or "percent".

variant

Run digest, name, or stamp for the variant model run.

Returns

A tibble.

Method write_table()

Write an output table to disk (CSV).

Usage
OpenMppModelRun$write_table(name, file)
Arguments
name

Table name.

file

File path.

Returns

Self, invisibly.

Method write_tables()

Write all output tables to disk (CSV).

Usage
OpenMppModelRun$write_tables(dir)
Arguments
dir

Directory path.

Returns

Self, invisibly.

Method get_log()

Get console log for model run.

Usage
OpenMppModelRun$get_log()
Returns

Self, invisibly.

Method write_log()

Write console log for model run to disk.

Usage
OpenMppModelRun$write_log(dir)
Arguments
dir

Directory to save log file.

Returns

Self, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
load_model_run("RiskPaths", "53300e8b56eabdf5e5fb112059e8c137")
load_run("RiskPaths", "53300e8b56eabdf5e5fb112059e8c137")

## End(Not run)

OpenM++ ModelRunSet Class

Description

OpenM++ ModelRunSet Class

Usage

load_model_runs(model, runs)

load_runs(model, runs)

Arguments

model

Model name or digest.

runs

Character vector of model run names, digests, or stamps.

Details

load_runs() is an alias for load_model_runs().

Value

An OpenMppModelRunSet instance.

Public fields

ModelDigest

Model digest.

ModelName

Model name.

ModelVersion

Model version.

OpenMppType

OpenM++ object type (used for print()).

Tables

Model run output tables

Active bindings

RunNames

Run names.

RunDigests

Run digests.

RunStamps

Run stamps.

RunStatuses

Run statuses.

RunMetadatas

Run metadatas.

Methods

Public methods

Method new()

Create a new OpenMppModelRunSet object.

Usage
OpenMppModelRunSet$new(model, runs)
Arguments
model

Model digest or name.

runs

Run digests, run stamps, or run names.

Returns

A new OpenMppModelRunSet object.

Method print()

Print a OpenMppModelRunSet object.

Usage
OpenMppModelRunSet$print(...)
Arguments
...

Not currently used.

Returns

Self, invisibly.

Method get_table()

Retrieve a table.

Usage
OpenMppModelRunSet$get_table(name)
Arguments
name

Table name.

Returns

A tibble.

Method get_table_calc()

Retrieve a table calculation.

Usage
OpenMppModelRunSet$get_table_calc(name, calc)
Arguments
name

Table name.

calc

Name of calculation. One of "avg", "sum", "count", "max", "min", "var", "sd", "se", or "cv".

Returns

A tibble.

Method write_table()

Write an output table to disk (CSV).

Usage
OpenMppModelRunSet$write_table(name, file)
Arguments
name

Table name.

file

File path.

Returns

Self, invisibly.

Method write_tables()

Write all output tables to disk (CSV).

Usage
OpenMppModelRunSet$write_tables(dir)
Arguments
dir

Directory path.

Returns

Self, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
load_model_runs("RiskPaths", rep("53300e8b56eabdf5e5fb112059e8c137", 2))
load_runs("RiskPaths", rep("53300e8b56eabdf5e5fb112059e8c137", 2))

## End(Not run)

OpenM++ Workset Class

Description

OpenM++ Workset Class

Usage

load_workset(model, set)

load_scenario(model, set)

Arguments

model

Model digest or model name.

set

Name of workset (input set of model parameters).

Details

load_scenario() is an alias for load_workset().

Value

An OpenMppWorkset instance.

Super class

openmpp::OpenMppModel -> OpenMppWorkset

Public fields

WorksetName

Workset name.

WorksetMetadata

Workset metadata.

OpenMppType

OpenM++ object type (used for print()).

Parameters

Workset parameters.

Active bindings

ReadOnly

Workset read-only status.

BaseRunDigest

Base run digest for input parameters.

Methods

Public methods

Method new()

Create a new OpenMppWorkset object.

Usage
OpenMppWorkset$new(model, set)
Arguments
model

Model digest or name.

set

Workset name.

Returns

A new OpenMppWorkset object.

Method print()

Print a OpenMppWorkset object.

Usage
OpenMppWorkset$print(...)
Arguments
...

Not currently used.

Returns

Self, invisibly.

Method set_base_digest()

Set the base run digest.

Usage
OpenMppWorkset$set_base_digest(base)
Arguments
base

Base run digest.

Returns

Self, invisibly.

Method delete_base_digest()

Delete the base run digest.

Usage
OpenMppWorkset$delete_base_digest()
Returns

Self, invisibly.

Method copy_params()

Copy parameters from a base scenario.

Usage
OpenMppWorkset$copy_params(names)
Arguments
names

Character vector of parameter names.

Returns

Self, invisibly.

Method delete_params()

Delete parameters from scenario.

Usage
OpenMppWorkset$delete_params(names)
Arguments
names

Character vector of parameter names.

Returns

Self, invisibly.

Method get_param()

Retrieve a parameter.

Usage
OpenMppWorkset$get_param(name)
Arguments
name

Parameter name.

Returns

A tibble.

Method set_param()

Set a parameter.

Usage
OpenMppWorkset$set_param(name, data)
Arguments
name

Parameter name.

data

New parameter data.

Returns

Self, invisibly.

Method run()

Initiate a model run for the model workset/scenario.

Usage
OpenMppWorkset$run(
  name,
  opts = opts_run(),
  wait = FALSE,
  wait_time = 0.2,
  progress = TRUE
)
Arguments
name

Run name.

opts

Run options. See opts_run() for more details.

wait

Logical. Should we wait until the model run is done?

wait_time

Number of seconds to wait between status checks.

progress

Logical. Should a progress bar be shown?

Returns

Self, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
load_workset("RiskPaths", "Default")
load_scenario("RiskPaths", "Default")

## End(Not run)

Run Configuration Options

Description

Run Configuration Options

Usage

opts_run(
  SimulationCases = 5000,
  SubValues = 12,
  RunStamp = TimeStamp(),
  Opts = list(),
  ...
)

## S3 method for class 'OpenMppRunOpts'
print(x, ...)

Arguments

SimulationCases

Number of cases to simulate. Default is 5000.

SubValues

Number of sub values. Default is 12.

RunStamp

Run stamp. Default is generated based on the current time.

Opts

Additional options to pass to the Opts list component.

...

Any other run options.

x

Object to print.

Details

The default number of SimulationCases is low to enable rapid iteration but should be increased when running a model where the results are expected to be robust.

Examples

opts <- opts_run()
print(opts)

Run Models and Monitor Progress

Description

More information about these API endpoints can be found at here.

Usage

run_model(data)

get_model_run_state(model, stamp)

get_run_state(model, stamp)

stop_model_run(model, stamp)

stop_run(model, stamp)

Arguments

data

Data used for the body of the POST request.

model

Model digest or name.

stamp

Model run stamp.

Value

A list or nothing, invisibly.

Examples

## Not run: 
use_OpenMpp_local()
get_model_run_state("RiskPaths", "2025_01_28_21_00_48_385")

## End(Not run)

Update Workset Metadata

Description

Functions for creating, copying, merging, retrieving, and deleting worksets. More information about these API endpoints can be found at here.

Usage

set_workset_readonly(model, set, readonly)

new_workset(data)

merge_workset(workset)

update_workset_param_csv(workset, csv)

replace_workset(workset)

delete_workset(model, set)

delete_scenario(model, set)

delete_workset_param(model, set, name)

update_workset_param(model, set, name, data)

copy_param_run_to_workset(model, set, name, run)

merge_param_run_to_workset(model, set, name, run)

copy_param_workset_to_workset(model, set, name, from)

merge_param_workset_to_workset(model, set, name, from)

upload_workset_params(model, set, data)

Arguments

model

Model digest or model name.

set

Name of workset (input set of model parameters).

readonly

Boolean. Should workset be read-only?

data

Data used for the body of the request.

workset

Workset metadata.

csv

CSV file path.

name

Output table name.

run

Model run digest, run stamp or run name, modeling task run stamp or task run name.

from

Source workset name.

Value

A list, tibble, or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
set_workset_readonly("RiskPaths", "Default", TRUE)

## End(Not run)

Update Model Profile

Description

Functions for creating, modifying, and deleting profiles and profile options. More information about these API endpoints can be found at here.

Usage

touch_model_profile(model, data)

delete_model_profile(model, profile)

set_model_profile_opt(model, profile, key, value)

delete_model_profile_opt(model, profile, key)

Arguments

model

Model digest or model name.

data

Data used for the body of the request.

profile

Profile name.

key

Option key.

value

Option value.

Value

A list from a JSON response object or nothing (invisibly).

Examples

## Not run: 
use_OpenMpp_local()
touch_model_profile(
  "RiskPaths",
  list(Name = "profile1", Opts = list(Parameter.StartingSeed = "192"))
)
delete_model_profile("RiskPaths", "profile1")

## End(Not run)

OpenM++ CPAC API Connection

Description

Register a connection to the OpenM++ Web Services (OMS) Application Programming Interface (API) running on the CPAC cloud-based server.

Usage

use_OpenMpp_CPAC(
  url = Sys.getenv("OPENMPP_CPAC_URL"),
  api = Sys.getenv("OPENMPP_CPAC_API"),
  user = Sys.getenv("OPENMPP_CPAC_USER"),
  pwd = Sys.getenv("OPENMPP_CPAC_PWD"),
  ...
)

Arguments

url

URL for making login requests. See Details for more instructions.

api

URL for making API requests. See Details for more instructions.

user

User name for logging into remote API. See Details for more instructions.

pwd

Password for logging into remote API. See Details for more instructions.

...

Not currently used.

Details

A user name and password (pwd) are sensitive information and should not be shared. To avoid hard-coding your user name and password into your R scripts, we recommend declaring this information in your global or project-specific .Renviron file. The same approach may be used to declare your URLs for making API requests. While these URLs are typically not sensitive information, keeping all of this information in one place makes sense for consistency. For remote API connections to CPAC, set the following environment variables in your .Renviron files:

Value

Nothing, invisibly. Behind-the-scenes, an instance of the OpenMppCPAC R6 class is created. This objects should not be accessed directly by the user, instead, the package internally uses these connections to communicate with the OpenM++ API.

Examples

## Not run: 
use_OpenMpp_CPAC()

## End(Not run)

OpenM++ Local API Connection

Description

Register a local connection to the OpenM++ Web Services (OMS) Application Programming Interface (API). Currently, two different API connections "local" and "remote" are available. Note that "local" and "remote" describe where the API is running relative to the machine running the R session. Those who use a machine running on their local network may use a remote connection to connect with a cloud-based API, for example. Users running OpenM++ locally or who are logged into a remote virtual machine running OpenM++ will use the local API connection.

Usage

use_OpenMpp_local(url = Sys.getenv("OPENMPP_LOCAL_URL"), ...)

Arguments

url

URL for making API requests. See Details for more instructions.

...

Not currently used.

Details

We recommend declaring the API URL in your global or project-specific .Renviron file. For local and remote API connections, set the following environment variable in your .Renviron files:

Value

Nothing, invisibly. Behind-the-scenes, an instance of the OpenMppLocal R6 class is created. These objects should not be accessed directly by the user, instead, the package internally uses these connections to communicate with the OpenM++ API.

Examples

## Not run: 
use_OpenMpp_local()

## End(Not run)

OpenM++ Remote API Connection

Description

Register a connection to the OpenM++ Web Services (OMS) Application Programming Interface (API). Currently, two different API connections "local" and "remote" are available. Note that "local" and "remote" describe where the API is running relative to the machine running the R session. Those who use a machine running on their local network may use a remote connection to connect with a cloud-based API, for example. Users running OpenM++ locally or who are logged into a remote virtual machine running OpenM++ will use the local API connection.

Usage

use_OpenMpp_remote(
  url = Sys.getenv("OPENMPP_REMOTE_URL"),
  user = Sys.getenv("OPENMPP_REMOTE_USER"),
  pwd = Sys.getenv("OPENMPP_REMOTE_PWD"),
  ...
)

Arguments

url

URL for making API requests. See Details for more instructions.

user

User name for logging into remote API. See Details for more instructions.

pwd

Password for logging into remote API. See Details for more instructions.

...

Not currently used.

Details

A user name and password (pwd) are sensitive information and should not be shared. To avoid hard-coding your user name and password into your R scripts, we recommend declaring this information in your global or project-specific .Renviron file. The same approach may be used to declare your URLs for making API requests. While these URLs are typically not sensitive information, keeping all of this information in one place makes sense for consistency. For remote API connections, set the following environment variables in your .Renviron files:

Value

Nothing, invisibly. Behind-the-scenes, an instance of the OpenMppRemote R6 class is created. These objects should not be accessed directly by the user, instead, the package internally uses these connections to communicate with the OpenM++ API.

Examples

## Not run: 
use_OpenMpp_remote()

## End(Not run)