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Model Documentation
Home > Model Development Topics > Model Documentation
This topic describes how to author, incorporate and use model documentation
This topic describes how to incorporate documentation into model code, how model developers can use it in an IDE or as doxygen-generated HTML content, and how model users can access it.
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
- Model user documentation How model users can access model documentation
- Model documentation produced by doxygen
Model documentation has two different audiences: model developers and model users.
Model developers use model documentation to navigate and understand model code. They can access model documentation through an IDE like Visual Studio, through stand-alone developer documentation, or directly from the model source code.
Model users use model documentation to understand how the model works, and more specifically the meaning and proper use of a model's input parameters, output tables, and associated enumerations. They access model documentation through the model UI or through stand-alone user documentation.
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
This topic focuses on the latter two of these sources.
Examples use the RiskPaths
model which is included in OpenM++ distributions.
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.
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
).
[back to symbol documentation in model code]
[back to topic contents]
This subtopic describes doxygen brief descriptions created by the OpenM++ compiler for model symbols. An IDE such as Visual Studio can use these doxygen labels to provide information on model symbols used in C++ model code directly from the code editor. Syntactic islands in model code should be hidden so that doxygen and the IDE can correctly parse the C++ portions of the model project, as described in Model Code - Hiding syntactic islands.
This subtopic contains the following sections:
Doxygen is a widely used tool which generates human-readable hyperlinked HTML documentation for a C++ project. Doxygen fully parses the project's C++ source code for symbols and symbol references, and will incorporate descriptive information provided in specially-structured comments in the C++ source code. Here's an example of a structured doxygen comment in the C++ source code of the OpenM++ compiler:
class CodeBlock : public list<string>
{
public:
...
/**
* Push block of code at the top of the list.
* No indentation applied (assuming zero indent at the top)
*
* @param push_block The block of code to be inserted.
*/
void push_header(const CodeBlock & push_block);
...
};
In this example the comment block starting with /**
tells doxygen to parse the comment block for structured descriptive text about the C++ symbol whose declaration or definition follows in the code.
Doxygen takes the first line of the comment block as a brief description of the symbol push_header
.
Doxygen recognizes several ways to supply information in structured comments.
For example, the following supplies only the doxygen 'brief description' for push_header
:
class CodeBlock : public list<string>
{
public:
...
/// Push block of code at the top of the list.
void push_header(const CodeBlock & push_block);
...
};
Doxygen is so widely used that some IDEs (e.g. Visual Studio) scan a project's C++ source code for doxygen comments to improve functionality.
For example, in the Visual Studio C++ project for the OpenM++ compiler, hovering the cursor over the symbol push_header
in line 347 of the module CodeGen.cpp
causes the IDE to display a pop-up which includes information extracted from the doxygen comment for push_header
which the IDE found elsewhere in the project:
[back to doxygen brief descriptions for model symbols]
[back to topic contents]
The OpenM++ compiler generates C++ code which declare C++ symbols to implement model symbols declared in syntactic islands in model code.
For example, the model code which declares the unions
attribute of the Person
entity in the Unions.mpp
module in RiskPaths
is
actor Person
{
//EN Union counter
int unions = {0};
...
The OpenM++ compiler parses this code and creates the following C++ code in om_declarations.h
to implement the unions
attribute:
class Person : public Entity<Person>
{
public:
...
/// attribute(simple) int: Union counter
unions_om_type unions;
...
The OpenM++ compiler generated a line of C++ code to declare unions
as well as a preceding doxygen comment containing the doxygen brief description. The doxygen brief description = generated by the OpenM++ compiler has two parts. The first part gives the kind of symbol (a simple attribute) and the the underlying type (int
). The second part after the :
is the symbol label provided in model code, in the default language of the model (EN
for RiskPaths
).
If the RiskPaths project is opened in Visual Studio and the model built, hovering the cursor over the symbol unions
in line 148 of the module Unions.mpp
causes the IDE to display a pop-up for that symbol:
The first line of the popup displays C++ information for unions
, which can contain useful information like array shape, C++ type, and the containing class. In this example, the first line gives the kind of entity of the unions
attribute, namely Person
.
The second line of the popup displays the doxygen brief description for unions
generated by the OpenM++ compiler. In this example, it shows that unions
is a simple assignable attribute of type int, with label Union counter
.
[back to doxygen brief descriptions for model symbols]
[back to topic contents]
The following table shows, for each kind of model symbol, an example from RiskPaths
and the doxygen brief description generated by the OpenM++ compiler. The brief description will appear in a pop-up if the cursor is hovered over the symbol in the Visual Studio IDE, as illustrated above.
Kind of symbol | RiskPaths symbol | Generated brief description | Remarks |
---|---|---|---|
attribute | age |
attribute(built-in) Time: age |
The type of the built-in attribute age is Time
|
attribute | parity_status |
attribute(simple) PARITY_STATE: Parity status derived from the state parity |
parity_status is a simple assignable attribute of type PARITY_STATE (a classification) |
attribute | integer_age |
attribute(identity) LIFE: Current integer age |
integer_age is an identity attribute whose RHS is the expression COERCE( LIFE, self_scheduling_int(age) )
|
classification | PARITY_STATE |
Classification {0...1}: Parity status |
The range of possible values is shown. |
classification level | PS_PREGNANT |
Classification PARITY_STATE(PS_PREGNANT): Pregnant |
The Visual Studio IDE also gives the integer value of the classification level. |
range | LIFE |
Range {0...100}: Simulated age range |
The range of possible values is shown. |
partition | AGEINT_STATE |
Partition {0...11}: 2.5 year age intervals |
The range of possible values is shown. |
entity function | Union1DissolutionEvent |
Implement the event Union1DissolutionEvent when it occurs in the Person entity (model code) |
The label of the function from model code is shown, followed by (model code) to indicate the provenance of the function definition. |
parameter | ProbMort |
Parameter double: Death probabilities |
The Visual Studio IDE also gives the shape of array parameters which for ProbMort is 101. |
[back to doxygen brief descriptions for model symbols]
[back to topic contents]
The section Background on doxygen mentioned 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