A framework manages the versioning and recording of experiments. As well as some util functions often used in experiments.

WorkSpace

[TO BE DEVELOPED]

The module where the experiments are conducted, which redirects the commands, listening and logging experiments.

Session

A session is an experiment that needs to be logged. Create a session and record everything you think might be useful. For example

from ExperimentSecretary.Core import Session
with Session(__file__,terminalLog = True) as ss:
        
        ### Experiment Code ###
        
        ss.add_info("outputPkl",outputPklpath)

Running script like this generates a log file as follows(saved in .\.exp):

{
    "init_time": {
        "$date": 1588248158550
    },
    "fin_time": {
        "$date": 1588248158550
    },
    "git_version": "bd0cbfc87d3b8c0d7cc71e1f6d80953eec4fa284",
    "git_diff": "Some Uncommitted changes",
    "res": null,
    "termination": "success",
    "expName": "tests/VCCBFWalk.py",
    "outputPkl": "....",
    "stdout": "recorded stdout",
    "stderr": ""
}

Or you can inheret Session class and add custom log functions

A logger that makes it easier to generate a MarkDown experiment report, especially in generating and linking figures in the markdown file.

The abstracted class for parsing a printed log, especially useful in plotting unstructured stuffes redirected from stdout into a file.

Git clone into local and then run

pip install -e .

-e will create a symbolic link for this package, so that you can modify this package without reinstall it.

• pymongo
• gitpython