pinginstaller 2.0.0b2

Light-weight interface for running PING ecosystem (PINGMapper, etc.)

PINGInstaller

Light-weight application for installing PINGMapper and associated packages. PINGInstaller is designed to install a conda environment from a yml specified as a URL or localy hosted yml.

Example yml file structure:

name: ping
channels:
  - conda-forge
dependencies:
  - python<3.13
  - gdal
  - numpy
  - git
  - pandas
  - geopandas
  - pyproj<3.7.1
  - scikit-image
  - joblib
  - matplotlib
  - rasterio
  - h5py
  - opencv
  - pip
  - pip:
      - pingverter
      - pingmapper
      - pingwizard
      - pinginstaller
      - doodleverse_utils
      - psutil
      - tensorflow
      - tf-keras
      - transformers
      - rsa

The special thing about PINGInstaller is that it will install the conda environment based on the conda prompt it is launched from. This enables end-users with multiple conda installations to choose the flavor of conda as needed.

Supported prompts include (but may not be limited to):

• Miniforge
• Miniconda
• Anaconda
• ArcGIS Python Command Prompt

PINGInstaller is also compatible with projects in the Doodlevers.

Installation & Usage

Step 1

Open (download, if not already available) the conda prompt you want to use (ex: On Windows 11 - Start --> All --> Anaconda (miniconda3) --> Anaconda Powershell Prompt).

Step 2

Install PINGInstaller in the base environment with:

pip install pinginstaller

Step 3

Then install the environment from a web or locally hosted yml with:

python -m pinginstaller https://github.com/CameronBodine/PINGMapper/blob/main/conda/PINGMapper.yml

That's it! Your environment is now ready to use.

If you want to update the environment, simply re-run the environment installation script with:

python -m pinginstaller https://github.com/CameronBodine/PINGMapper/blob/main/conda/PINGMapper.yml

Ta-ta for now!