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Microdata Output
Home > Model Development Topics > Microdata Output
This topic describes model microdata output from a model developer perspective.
- Introduction and outline
- Quick start How to build and run a model with microdata output capability
- General information General information
A model with microdata output enabled can output values of entity attributes during a run for later use.
Microdata output is controlled by run-time settings, build-time settings, and model code.
Run-time settings specify which attributes (if any) are output during the run. All attributes are available for selection at run-time without rebuilding the model.
Build-time settings determine whether a model can output microdata or not. Model code together with build-time settings determine when microdata output occurs during the simulation of an entity.
Microdata output is normally written to the model database.
After a run completes, the OpenM++ dbcopy utility can extract microdata from the model database for downstream processing.
A future OpenM++ utility will allow direct tabulation of microdata in the model database,
including micro-level comparison operations between runs.
A build-time setting causes model microdata to be output in csv format to the run trace file instead of to the run database.
This setting is targeted to model developers and is used in examples in this topic.
Quick Start shows how to build a model with microdata output capability and how to enable that capability in a model run. General Information about microdata output.
This subtopic contains the following sections.
- 1. Build model with microdata output capability
- 2. Create model
inifile with microdata output options - 3. Run model using microdata output
Add the following statement to the model source code file RiskPaths/code/ompp_framework.ompp:
options microdata_output = on;Build the Release version of RiskPaths.
In Windows, the model executable will be RiskPaths/ompp/bin/RiskPaths.exe.
In Linux, the model executable will be RiskPaths/ompp-linux/bin/RiskPaths.
In the same folder as the RiskPaths executable there may already be a copy of the default model ini file RiskPaths.ini.
If not create it using your IDE or a text editor such as Notepad.
Edit RiskPaths.ini to have the following content:
[OpenM]
TraceToFile = true
[Parameter]
SimulationCases = 5
[Microdata]
Person = case_seed, age, union_status[back to quick start]
[back to topic contents]
Launch the model in its bin directory using the ini file created in the previous step, being sure to also specify the OpenM.IniAnyKey option.
RiskPaths -ini RiskPaths.ini -OpenM.IniAnyKey true
In Windows you can run the Release version of RiskPaths from inside Visual Studio as follows:
-
Solution ConfigurationstoReleaseandSolution Platformstox64 -
Project Properties > Configuration Properties > Debugging > Command Argumentsto
-ini RiskPaths.ini -OpenM.IniAnyKey true -
Project Properties > Configuration Properties > Debugging > Working Directoryto$(TargetDir) - To launch the model, do
Debug > Start without debuggingor PressCtrl-F5.
After the model runs the trace file RiskPaths.trace.txt should be present in the model bin directory and look like this:
Under construction
The model log will contain the following warning, which is expected.
Warning : model can expose microdata at run-time with output_microdata = on
[back to quick start]
[back to topic contents]
A model built with microdata output enabled will output the following warning to the log whenever it is run:
Warning : model can expose microdata at run-time with microdata_output = on
If this is not a concern, for example the model generates a synthetic population, this warning can be disabled by the following statement:
options microdata_output_warning = off;Some entity attributes are created by the OpenM++ compiler to implement model functionality. For example, if an entity table has a filter, an identity attribute is created to implement it. These internal generated attributes are normally hidden but they can be made visible by the following statement:
options all_attributes_visible = on;- 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
- Cloud administrator UI
- 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_errorsoption -
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 queues of model runs
- PUT a request to shutdown web-service
Global Administrator: manage all web-services