glm

glm

A fast GridLAB-D to JSON (and back) parser.

• Fast GLM to JSON converter.
  • Supports nested objects, schedules, definitions, directives, modules, includes and clock objects
• Fast JSON to GLM converter.
• Native support for Python, returns nested dictionaries.

• Descriptive error messages when unable to parse a GridLAB-D model file.

• Tested on all examples in the GridLAB-D source repository.

Install

Go to the latest releases page for the Python or the CLI for various operating systems.

Python

You can pip install the package from PyPI or using the wheel (files with extension .whl) after downloading it or directly from the URL from the releases page.

The following installs the latest glm package for Windows, MacOSX or Linux from PyPI. This will work for Python2 or Python3.

pip install glm

This also installs the glm2json and json2glm cli utilities.

Documentation

You can use this from the command line as follows:

Usage:
  glm2json [required&optional-params]
Convert from glm/json to json/glm
  Options(opt-arg sep :|=|spc):
  -h, --help                            write this help to stdout
  --version           bool    false     write version to stdout
  -p=, --pathToFile=  string  REQUIRED  set pathToFile
  --pretty            bool    false     set pretty

./glm2json --path-to-file ./tests/data/4node.glm --pretty                                                                                                                            ✔  10397  18:20:47
{
  "clock": {
    "timestamp": "2000-01-01 0:00:00",
    "timezone": "EST+5EDT"
  },
  "includes": [],
  "objects": [
    {
      "name": "overhead_line_conductor:100",
      "attributes": {
        "name": "PhaseCond",
        "geometric_mean_radius": "0.0244 ft",
        "resistance": "0.306"
      },
      "children": []
    },
    {
      "name": "overhead_line_conductor:101",
      "attributes": {
        "name": "NeutralCond",
        "geometric_mean_radius": "0.00814 ft",
        "resistance": "0.592"
      },
      "children": []
    },
    {
      "name": "line_spacing:200",
      "attributes": {
        "name": "LineSpacing",
        "distance_AB": "2.5",
        "distance_BC": "4.5",
        "distance_AC": "7.0",
        "distance_AN": "5.656",
        "distance_BN": "4.272",
        "distance_CN": "5.0"
      },
      "children": []
    },
    {
      "name": "line_configuration:1",
      "attributes": {
        "name": "LineConf",
        "conductor_A": "PhaseCond",
        "conductor_B": "PhaseCond",
        "conductor_C": "PhaseCond",
        "conductor_N": "NeutralCond",
        "spacing": "LineSpacing"
      },
      "children": []
    },
    {
      "name": "overhead_line",
      "attributes": {
        "name": "Line1",
        "phases": "ABCN",
        "from": "Node1",
        "to": "Node2",
        "length": "2000 ft",
        "configuration": "LineConf",
        "nominal_voltage": "124.0"
      },
      "children": []
    },
    {
      "name": "overhead_line",
      "attributes": {
        "name": "Line2",
        "phases": "ABCN",
        "from": "Node3",
        "to": "Node4",
        "length": "2500 ft",
        "configuration": "LineConf",
        "nominal_voltage": "124.0"
      },
      "children": []
    },
    {
      "name": "node",
      "attributes": {
        "name": "Node1",
        "phases": "ABCN",
        "nominal_voltage": "124.0"
      },
      "children": []
    },
    {
      "name": "node",
      "attributes": {
        "name": "Node2",
        "phases": "ABCN",
        "nominal_voltage": "124.0"
      },
      "children": []
    },
    {
      "name": "node",
      "attributes": {
        "name": "Node3",
        "phases": "ABCN",
        "nominal_voltage": "124.0"
      },
      "children": []
    },
    {
      "name": "node",
      "attributes": {
        "name": "Node4",
        "phases": "ABCN",
        "nominal_voltage": "124.0"
      },
      "children": []
    },
    {
      "name": "tape.recorder",
      "attributes": {
        "interval": "4.0",
        "parent": "network_node2",
        "limit": "21600",
        "file": "./csv_output/network_node2.csv",
        "property": "measured_real_power, measured_real_energy, voltage_A, voltage_B, voltage_C"
      },
      "children": []
    }
  ],
  "modules": [
    {
      "name": "powerflow",
      "attributes": {}
    },
    {
      "name": "tape",
      "attributes": {}
    }
  ],
  "directives": [],
  "definitions": [],
  "schedules": []
}

Issues

Feel free to open an issue if something is not working as expected.

Developer Guide

• Install Nim
• Run nimble install -y to generate binaries

If you want to install the latest version from GitHub, you can use the following commands. The GitHub release is identical to that on PyPI.

Windows

export VERSION=$(curl -s "https://github.com/NREL/glm/releases/latest" | grep -o 'tag/[v.0-9]*' | awk -F/ '{print $2}')
pip install https://github.com/NREL/glm/releases/download/$VERSION/glm-${VERSION#"v"}-py2.py3-none-win_amd64.whl

OSX

export VERSION=$(curl -s "https://github.com/NREL/glm/releases/latest" | grep -o 'tag/[v.0-9]*' | awk -F/ '{print $2}')
pip install https://github.com/NREL/glm/releases/download/$VERSION/glm-${VERSION#"v"}-py2.py3-none-macosx_10_7_x86_64.whl

Linux

export VERSION=$(curl -s "https://github.com/NREL/glm/releases/latest" | grep -o 'tag/[v.0-9]*' | awk -F/ '{print $2}')
pip install https://github.com/NREL/glm/releases/download/$VERSION/glm-${VERSION#"v"}-py2.py3-none-manylinux1_x86_64.whl