idmtools.analysis.add_analyzer module

class idmtools.analysis.add_analyzer.AddAnalyzer(filenames=None, output_path='output')

Bases: idmtools.entities.ianalyzer.IAnalyzer

A simple base class to add analyzers.

Examples

# Example AddAnalyzer for EMOD Experiment
# In this example, we will demonstrate how to create an AddAnalyzer to analyze an experiment's output file

# First, import some necessary system and idmtools packages.
from idmtools.analysis.analyze_manager import AnalyzeManager
from idmtools.analysis.add_analyzer import AddAnalyzer
from idmtools.core import ItemType
from idmtools.core.platform_factory import Platform

if __name__ == '__main__':

    # Set the platform where you want to run your analysis
    # In this case we are running in BELEGOST, but this can be changed to run 'Local'
    with Platform('BELEGOST') as platform:

        # Arg option for analyzer init are uid, working_dir, data in the method map (aka select_simulation_data),
        # and filenames
        # In this case, we want to provide a filename to analyze
        filenames = ['StdOut.txt']
        # Initialize the analyser class with the name of file to save to and start the analysis
        analyzers = [AddAnalyzer(filenames=filenames)]

        # Set the experiment you want to analyze
        experiment_id = '6f305619-64b3-ea11-a2c6-c4346bcb1557'  # comps exp id

        # Specify the id Type, in this case an Experiment
        manager = AnalyzeManager(ids=[(experiment_id, ItemType.EXPERIMENT)], analyzers=analyzers)
        manager.analyze()

filter(item)

Decide whether the analyzer should process a simulation.

Parameters

item – An IItem to be considered for processing with this analyzer.

Returns

A Boolean indicating whether simulation should be analyzed by this analyzer.

initialize()

Call once after the analyzer has been added to the AnalyzeManager.

Add everything depending on the working directory or unique ID here instead of in __init__.

map(data, item)

In parallel for each simulation, consume raw data from filenames and emit selected data.

Parameters

• data – A dictionary associating filename with content for simulation data.

• item – IItem object that the passed data is associated with.

Returns

Selected data for the given item.

reduce(data)

Combine the map() data for a set of items into an aggregate result.

Parameters

all_data – A dictionary with entries for the item ID and selected data.