Skip to main content

apsimx next generation package interface

Project description

Our cutting-edge open-source framework, apsimNGpy, empowers advanced agroecosystem modeling through the utilization of object-oriented principles. It features fast batch file simulation, model prediction, evaluation, apsimx file editing, seamless weather data retrieval, and efficient soil profile development

Requirements

  1. Dotnet, install from https://learn.microsoft.com/en-us/dotnet/core/install/

  2. Python3

  3. APSIM: Add the directory containing the models executable to the system’s PATH or python path (to locate the required .dll files). This can be achieved in either of the following ways:

  4. Utilize the APSIM installer provided for this purpose.

  5. Build APSIM from its source code. This is comming soon

  6. Minimum; 8GM RAM, CPU Core i7

Installation

All versions are currently in development, phase and they can be installed as follows:

  • Method 1. clone the repositry

git clone https://github.com/MAGALA-RICHARD/apsimNGpy.git@dev
cd apsimNGpy
pip install .
  • Method 2. Use pip straight away

pip install git+https://github.com/MAGALA-RICHARD/apsimNGpy.git@dev

If you have apsim installed and the program refuses to load run the following code at the top of your python script before importing any apsimNGpy class. The classes are CamelCased.

Required Dependencies:

  • numpy

  • pandas

  • pythonnet

  • xmltodict

  • tqdm

  • requests

Please note that apsimNGpy is tested on Python 3. We are not aware of its performance in Python 2 because it utilizes some of the new libraries like pathlib and f-strings.

Debugging import error due to improper SYSTEM APSIM path configuration

# search for the program binary installation path and add to os.environ as follows
import os
os.environ['APSIM'] =r'path/toyourapsimbinaryfolder/bin
# try importing SoilModel class
from apsimNGpy.core.apsim import ApsimModel
# alternatively, you can add the path to the system environmental variables

Usage

import apsimNGpy
from apsimNGpy.core.base_data import LoadExampleFiles
from apsimNGpy.core.apsim  import ApsimModel as SoilModel
from pathlib import Path
import os
from apsimNGpy.validation.visual import plot_data
cwd = Path.cwd().home() # sending this to your home folder
wd = cwd.joinpath("apsimNGpy_demo")
if not wd.exists():
  os.mkdir(wd)
# change directory
os.chdir(wd)
# Create the data
data = LoadExampleFiles(wd)
# Get maize model
maize = data.get_maize

# Initialize the simulation methods
apsim = SoilModel(maize, copy=True)

# Run the file
apsim.run() # use run to print time taken to excute or run the model
# print the results
print(apsim.results) # prints all data frames in the storage domain subset usign report names
# check the manager modules in the apsim simulation file
# first get the simualtion names
sim_name = apsim.extract_simulation_name
apsim.examine_management_info(simulations=sim_name)
# show current simulation in apsim GUI
# plot the data
res = apsim.results['MaizeR']
plot_data(res.Year, res.Yield, xlabel='Years', ylabel=" Maize Yield (kg/ha)")

A graph should be able to appear like the ones below. Note that plot_data function just wraps matplotlib plot function for quick visualisation

Congratulations you have successfuly used apsimNGpy package

/examples/Figure_1.png

Change APSIM simulation dates

import apsimNGpy
from apsimNGpy.core.base_data import LoadExampleFiles
from apsimNGpy.core.apsim  import ApsimModel as SoilModel
from pathlib import Path
import os
from apsimNGpy.validation.visual import plot_data
cwd = Path.cwd().home() # sending this to your home folder
wd = cwd.joinpath("apsimNGpy_demo")
if not wd.exists():
  os.mkdir(wd)
# change directory
os.chdir(wd)
# Create the data
data = LoadExampleFiles(wd)

# Get maize model
maize = data.get_maize

# Initialize the simulation methods
apsim = SoilModel(maize, copy=True)
apsim.change_simulation_dates(start_date='01/01/1998', end_date='12/31/2010')

Change APSIM model management decisions

# First, examine the manager scripts in the simulation node
apsim.examine_management_info()
# now create dictionary holding the parameters. the key to this is that the name of the script manage must be
passed in the dictionary.

# in this node we have a script named the Simple Rotation,we want to change the rotation to maybe Maize, Wheat or
something else
rotation  = {'Name': "Simple Rotation", "Crops": 'Maize, Wheat, Soybean' # the crops must be seperated my commas
apsim.update_multiple_management_decisions([rotation], simulations=apsim.extract_simulation_name, reload=True)
# now you cans see we passed rotation as a list. That means you can add other scripts as much as you all  to be
changed at the same time

Populating the APSIM model with new weather data

from apsimNGpy.core.weather import daymet_bylocation_nocsv
lonlat = -93.08, 42.014
start_year, end_year = 2000, 2002
wf = daymet_bylocation_nocsv(lonlat, startyear, endyear, filename="mymet.met")
# you may need to first see what file currently exists in the model
mis = apsim.show_met_file_in_simulation()
print(mis)
# change
apsim.replace_met_file(wf)
# check again if you want to
mis = apsim.show_met_file_in_simulation()
print(mis)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

apsimNGpy-0.0.1.tar.gz (1.2 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page