pybeepop-plus

pybeepop+ :honeybee:

Python-based wrapper for the USDA/EPA's honey bee colony model BeePop+.

For more information about BeePop+ see Garber et al. 2022.

Developed by: Jeffrey Minucci

Table of Contents

• Requirements
• Quick Start Guide
• Example Notebook
• API Documentation
• Compiling BeePop+ on Linux
• Contributing to pybeepop+

Requirements

• Supported platforms:
  • Windows 64-bit (x64)
  • Linux
• For Windows: Microsoft Visual C++ Redistributable 2015-2022
• For Linux, the bundled BeePop+ library was compiled on Ubuntu. If you encounter errors loading the library, you can try compiling BeePop+ yourself from source. Instructions for compiling BeePop+ for Linux are below. Source code is available on the project's GitHub page.
• Python version 3.6 or above.
• pandas installed in your Python environment.

Quick Start Guide

1. Install the package into your Python environment using pip:

    pip install pybeepop-plus
    
   

2. Import the PyBeePop class in your python code, e.g.:

   from pybeepop import PyBeePop
   

3. Create a BeePop+ object:

    beepop = PyBeePop()
    
   

4. Set parameters, weather and pesticide exposure levels (optional).

    # define a dictionary of BeePop+ parameters (parameter_name: value)
    params = {"ICWorkerAdults": 10000, "ICWorkerBrood": 8000, 
        "SimStart": "04/13/2015", "SimEnd": "09/15/2015",
        "AIAdultLD50: 0.04"}
    beepop.set_parameters(params)
    
    # load your weather file by giving its path
    weather = '/home/example/test_weather.txt'
    beepop.load_weather(weather)
    
    # load your pesticide residue file by giving its path (optional)
    pesticide_file = '/home/example/pesticide_residues.txt'
    beepop.load_contamination_file(pesticide_file)
   

   
   Parameters that are not set by the user will take on the BeePop+ default values. For more information see the BeePop+ publication.

   For a list of exposed BeePop+ parameters, see docs/BeePop_exposed_parameters.csv.

   For an explanation of the weather file format, see docs/weather_readme.txt.

   For an explanation of the residue file format, see docs/residue_file_readme.txt.

   Example files to run the model can be found at example_files/.

5. Run the Model and get the results as a pandas DataFrame

   results = beepop.run_model()
   print(results)
   

6. Results from last simulation can also be returned using the get_output function, with options to return a DataFrame or a json string.

   output = beepop.get_output()  # pandas dataframe
   output_json = beepop.get_output(json_str=True)  # json string
   

7. You can pass new parameters and/or update previously set ones (and optionally set a new weather file), and then run the model again. Parameters that were previously defined will remain set

   # update value for ICWorkerAdults, InitColPollen, other values set previously remain
   params_new = {"ICWorkerAdults": 22200, "InitColPollen": 4000}
   beepop.set_parameters(parameters = params_new)
   new_results = beepop.run_model()
   

8. You can also set parameters using a .txt file where each line gives a parameter in the format "Parameter=Value".

   Example my_parameters.txt:

    RQEggLayDelay=10
    RQReQueenDate=06/25/2015
    RQEnableReQueen=False
   

   In Python:

    parameter_file = 'home/example/my_parameters.txt'
    my_parameters = beepop.load_input_file()
    print(my_parameters)
   

9. To get a list of the user-defined parameters:

    my_parameters = beepop.get_parameters()
    print(my_parameters)
   

Example notebook

A Jupyter notebook with a working example of using pybeepop+ is available here.

API Documentation

Documentation of the pybeepop+ API can be found at: https://usepa.github.io/pybeepop/.

Compiling BeePop+ on Linux

Requirements for compilation

• cmake > 3.2
• gcc and g++ compilers

Compiling BeePop+ from source on Linux

1. Clone the BeePop+ repo:

    git clone https://github.com/quanted/VPopLib.git
   

2. Create a build directory:

    cd VPopLib
    mkdir build
    cd build
   

3. Build the shared library:

    cmake -DCMAKE_POSITION_INDEPENDENT_CODE=ON ..  	
    cmake --build . --config Release
   

4. Now the .so file liblibvpop.so should have been created inside the /build directory. This shared library can be moved or renamed. You can pass the path to this .so file as lib_path when creating a PyBeePop object:

    # pass the path to your previously compiled shared library file
    lib_file = '/home/example/liblibvpop.so'
    beepop = PyBeePop(lib_file)
   

Contributing to pybeepop+

For those in the user community wishing to contribute to this project:

• Code updates or enhancements can be made by forking and submitting pull requests that will be reviewed by repository admins.
• Software, code, or algorithm related bugs and issues can be submitted directly as issues on the GitHub repository.
• Support can be requested through GitHub issues.