idmtools.analysis.add_analyzer module#

idmtools add analyzer.

More of an example.

class idmtools.analysis.add_analyzer.AddAnalyzer(filenames=None, output_path='output')[source]#

Bases: 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
    with Platform('CALCULON') 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()

__init__(filenames=None, output_path='output')[source]#

Initialize our analyzer.

Parameters:

filenames – Filename to fetch
output_path – Path to write output to

filter(item: IWorkflowItem | Simulation)[source]#

Filter analyzers. Here we want all the items so just return true.

Parameters:: item – Item to filter
Returns:: True

initialize()[source]#

Initialize our analyzer before running it.

We use this to create our output directory.

Returns:: None

map(data, item: IWorkflowItem | Simulation)[source]#

Run this on each item and the files we retrieve.

Parameters:

data – Map of filesnames -> content
item – Item we are mapping

Returns:

Values added up

reduce(data)[source]#

Combine all the data we mapped.

Parameters:: data – Map of results in form Item -> map results
Returns:: Sum of all the results