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Model Documentation
Home > Model Development Topics > Model Documentation
This topic describes how to author, build and access model documentation.
This topic is under construction and/or revision.
- Authored Model Documentation: The autonomous authored component of model documentation
- Generated Model Documentation: The symbol reference component of model documentation
- Model Languages: The human languages supported by a model
- Model Symbols: Symbols in model code and in the user interface
- Symbol Labels and Notes: Human-language labels and notes for model symbols
- Introduction and outline
- Target audiences Users and developers
- Building documentation
- Accessing documentation Through the user interface, OpenM++ utilities, or a stand-alone file
- Documentation components Authored and generated
- Documentation editions User edition and developer edition
- Sources of documentation Where documentation comes from
- Model documentation produced by doxygen Going down the rabbit hole of OpenM++ internals
This topic focuses on the latter two of these sources.
Examples use the RiskPaths
model which is included in OpenM++ distributions.
Model documentation has two different audiences: model users and model developers.
Model users use model documentation to understand how the model works, and the meaning and proper use of the model symbols exposed to them through the user interface, run downloads, or external tools like R or Python.
- input parameters
- output tables
- entity attributes in microdata
- enumerations associated with exposed parameters, tables, and attributes. Typically, only a subset of model symbols are exposed to model users. Model users typically access model documentation through the model UI.
Model developers use model documentation to navigate and understand model code. They access model documentation through the model UI, using an IDE like Visual Studio, or directly from the model source code. Typically, model developers access all of the models symbols, including symbols not directly relevant to model users such as entity sets or source code modules.
Content to follow.
Content to follow.
Labels are used extensively in the OpenM++ UI, for example to label parameter and table names, dimensions, and the names of classification levels. Notes for parameters and tables are immediately available in the UI in context by clicking the information icon. These notes are rendered in the UI using markdown indicators in the note text.
Label and note information for published symbols are in the model database and can be accessed outside of the model.
This information can be extracted using the dbcopy
utility,
the oms
application,
or (perhaps) using user-written utility functions in a language like R
(using oms
).
Model documentation consists of two components which can work synergistically:
- A configurable Symbol Reference of generated cross-referenced content on parameters, tables, enumerations, etc.,
- optional autonomous cross-linked authored model documentation which can include downloadable auxiliary material.
There are two versions of Model Documentation: user-oriented or developer-oriented, selected at build time using an option.
When a model is built, model labels and notes for selected symbols are published to the database, for all human languages declared in the model. Labels and notes for model symbols which are not available to the end user when the model is run are not published. This includes parameters and tables suppressed from the model at build time and associated classifications, ranges, and partitions not used by other published symbols. Information on attributes is published only if the model was built with microdata output enabled.
Content to follow.
Model documentation has several possible sources:
- Authored documents for developers
- Authored documents for users
- Symbol labels and notes in structured comments in model code
- Symbol declarations and use in model code
The wiki subtopic Background on doxygen mentions that the doxygen application can generate hyperlinked HTML documentation for a C++ project. After the OpenM++ compiler has run and produced the C++ code to implement a model, a complete C++ project for that model exists. Doxygen can be run with this project as input to create hyperlinked HTML documentation of the C++ code of the model. An example doxygen input file for RiskPaths
is located at OM_ROOT/models/RiskPaths.doxyfile
. Below is a screenshot of a browser displaying the C++ documentation produced by doxygen for RiskPaths
:
The screenshot shows information for the Person
member function timeUnion1DissolutionEvent()
which is an event time function supplied in model code.
Note that hovering over the symbol union_duration
in the model source code gives summary information about the symbol, a bit like the display in the Visual Studio IDE. Note also the References section below the function body, which lists all non-local variables used in the function with each hyperlinked to its section elsewhere in the doxygen-generated HTML documentation.
The documentation generated by doxygen for RiskPaths is based not just on model code. It is also based on C++ code generated by the OpenM++ compiler and fixed framework OpenM++ code. That code is rarely pertinent to a model developer. Future enhancements may remove those superfluous portions from doxygen output and add customized doxygen sections targetted to model developers.
- Windows: Quick Start for Model Users
- Windows: Quick Start for Model Developers
- Linux: Quick Start for Model Users
- Linux: Quick Start for Model Developers
- MacOS: Quick Start for Model Users
- MacOS: Quick Start for Model Developers
- Model Run: How to Run the Model
- MIT License, Copyright and Contribution
- Model Code: Programming a model
- Windows: Create and Debug Models
- Linux: Create and Debug Models
- MacOS: Create and Debug Models
- MacOS: Create and Debug Models using Xcode
- Modgen: Convert case-based model to openM++
- Modgen: Convert time-based model to openM++
- Modgen: Convert Modgen models and usage of C++ in openM++ code
- Model Localization: Translation of model messages
- How To: Set Model Parameters and Get Results
- Model Run: How model finds input parameters
- Model Output Expressions
- Model Run Options and ini-file
- OpenM++ Compiler (omc) Run Options
- OpenM++ ini-file format
- UI: How to start user interface
- UI: openM++ user interface
- UI: Create new or edit scenario
- UI: Upload input scenario or parameters
- UI: Run the Model
- UI: Use ini-files or CSV parameter files
- UI: Compare model run results
- UI: Aggregate and Compare Microdata
- UI: Filter run results by value
- UI: Disk space usage and cleanup
- UI Localization: Translation of openM++
-
Highlight: hook to self-scheduling or trigger attribute
-
Highlight: The End of Start
-
Highlight: Enumeration index validity and the
index_errors
option -
Highlight: Simplified iteration of range, classification, partition
-
Highlight: Parameter, table, and attribute groups can be populated by module declarations
- Oms: openM++ web-service
- Oms: openM++ web-service API
- Oms: How to prepare model input parameters
- Oms: Cloud and model runs queue
- Use R to save output table into CSV file
- Use R to save output table into Excel
- Run model from R: simple loop in cloud
- Run RiskPaths model from R: advanced run in cloud
- Run RiskPaths model in cloud from local PC
- Run model from R and save results in CSV file
- Run model from R: simple loop over model parameter
- Run RiskPaths model from R: advanced parameters scaling
- Run model from Python: simple loop over model parameter
- Run RiskPaths model from Python: advanced parameters scaling
- Windows: Use Docker to get latest version of OpenM++
- Linux: Use Docker to get latest version of OpenM++
- RedHat 8: Use Docker to get latest version of OpenM++
- Quick Start for OpenM++ Developers
- Setup Development Environment
- 2018, June: OpenM++ HPC cluster: Test Lab
- Development Notes: Defines, UTF-8, Databases, etc.
- 2012, December: OpenM++ Design
- 2012, December: OpenM++ Model Architecture, December 2012
- 2012, December: Roadmap, Phase 1
- 2013, May: Prototype version
- 2013, September: Alpha version
- 2014, March: Project Status, Phase 1 completed
- 2016, December: Task List
- 2017, January: Design Notes. Subsample As Parameter problem. Completed
GET Model Metadata
- GET model list
- GET model list including text (description and notes)
- GET model definition metadata
- GET model metadata including text (description and notes)
- GET model metadata including text in all languages
GET Model Extras
GET Model Run results metadata
- GET list of model runs
- GET list of model runs including text (description and notes)
- GET status of model run
- GET status of model run list
- GET status of first model run
- GET status of last model run
- GET status of last completed model run
- GET model run metadata and status
- GET model run including text (description and notes)
- GET model run including text in all languages
GET Model Workset metadata: set of input parameters
- GET list of model worksets
- GET list of model worksets including text (description and notes)
- GET workset status
- GET model default workset status
- GET workset including text (description and notes)
- GET workset including text in all languages
Read Parameters, Output Tables or Microdata values
- Read parameter values from workset
- Read parameter values from workset (enum id's)
- Read parameter values from model run
- Read parameter values from model run (enum id's)
- Read output table values from model run
- Read output table values from model run (enum id's)
- Read output table calculated values from model run
- Read output table calculated values from model run (enum id's)
- Read output table values and compare model runs
- Read output table values and compare model runs (enun id's)
- Read microdata values from model run
- Read microdata values from model run (enum id's)
- Read aggregated microdata from model run
- Read aggregated microdata from model run (enum id's)
- Read microdata run comparison
- Read microdata run comparison (enum id's)
GET Parameters, Output Tables or Microdata values
- GET parameter values from workset
- GET parameter values from model run
- GET output table expression(s) from model run
- GET output table calculated expression(s) from model run
- GET output table values and compare model runs
- GET output table accumulator(s) from model run
- GET output table all accumulators from model run
- GET microdata values from model run
- GET aggregated microdata from model run
- GET microdata run comparison
GET Parameters, Output Tables or Microdata as CSV
- GET csv parameter values from workset
- GET csv parameter values from workset (enum id's)
- GET csv parameter values from model run
- GET csv parameter values from model run (enum id's)
- GET csv output table expressions from model run
- GET csv output table expressions from model run (enum id's)
- GET csv output table accumulators from model run
- GET csv output table accumulators from model run (enum id's)
- GET csv output table all accumulators from model run
- GET csv output table all accumulators from model run (enum id's)
- GET csv calculated table expressions from model run
- GET csv calculated table expressions from model run (enum id's)
- GET csv model runs comparison table expressions
- GET csv model runs comparison table expressions (enum id's)
- GET csv microdata values from model run
- GET csv microdata values from model run (enum id's)
- GET csv aggregated microdata from model run
- GET csv aggregated microdata from model run (enum id's)
- GET csv microdata run comparison
- GET csv microdata run comparison (enum id's)
GET Modeling Task metadata and task run history
- GET list of modeling tasks
- GET list of modeling tasks including text (description and notes)
- GET modeling task input worksets
- GET modeling task run history
- GET status of modeling task run
- GET status of modeling task run list
- GET status of modeling task first run
- GET status of modeling task last run
- GET status of modeling task last completed run
- GET modeling task including text (description and notes)
- GET modeling task text in all languages
Update Model Profile: set of key-value options
- PATCH create or replace profile
- DELETE profile
- POST create or replace profile option
- DELETE profile option
Update Model Workset: set of input parameters
- POST update workset read-only status
- PUT create new workset
- PUT create or replace workset
- PATCH create or merge workset
- DELETE workset
- POST delete multiple worksets
- DELETE parameter from workset
- PATCH update workset parameter values
- PATCH update workset parameter values (enum id's)
- PATCH update workset parameter(s) value notes
- PUT copy parameter from model run into workset
- PATCH merge parameter from model run into workset
- PUT copy parameter from workset to another
- PATCH merge parameter from workset to another
Update Model Runs
- PATCH update model run text (description and notes)
- DELETE model run
- POST delete model runs
- PATCH update run parameter(s) value notes
Update Modeling Tasks
Run Models: run models and monitor progress
Download model, model run results or input parameters
- GET download log file
- GET model download log files
- GET all download log files
- GET download files tree
- POST initiate entire model download
- POST initiate model run download
- POST initiate model workset download
- DELETE download files
- DELETE all download files
Upload model runs or worksets (input scenarios)
- GET upload log file
- GET all upload log files for the model
- GET all upload log files
- GET upload files tree
- POST initiate model run upload
- POST initiate workset upload
- DELETE upload files
- DELETE all upload files
Download and upload user files
- GET user files tree
- POST upload to user files
- PUT create user files folder
- DELETE file or folder from user files
- DELETE all user files
User: manage user settings
Model run jobs and service state
- GET service configuration
- GET job service state
- GET disk usage state
- POST refresh disk space usage info
- GET state of active model run job
- GET state of model run job from queue
- GET state of model run job from history
- PUT model run job into other queue position
- DELETE state of model run job from history
Administrative: manage web-service state
- POST a request to refresh models catalog
- POST a request to close models catalog
- POST a request to close model database
- POST a request to delete the model
- POST a request to open database file
- POST a request to cleanup database file
- GET the list of database cleanup log(s)
- GET database cleanup log file(s)
- POST a request to pause model run queue
- POST a request to pause all model runs queue
- PUT a request to shutdown web-service