nc-gcode-interpreter 0.1.9

A interpreter for NC (Numerical Control) GCode

NC-GCode-Interpreter

A robust interpreter designed for processing Sinumerik-flavored NC G-code, capable of converting MPF files into CSV outputs or Polars DataFrames via Python bindings.

Overview

The NC-GCode-Interpreter offers a streamlined and efficient solution for interpreting G-code specifically tailored to Sinumerik specifications. This tool caters to both command-line interface (CLI) users and those preferring a Python environment, ensuring versatility and ease of use in processing NC programming commands into structured formats like CSV files or Polars DataFrames.

Features

Supported G-code Features

• G Group Commands: Recognizes G-code groups and modal G-code commands.
• Global Transformations: Supports commands like TRANS and ATRANS for adjusting coordinates globally.
• Looping Constructs: Handles loops using WHILE and FOR statements.
• Variable Handling: Supports definition and manipulation of local variables.
• Conditional Logic: Implements conditional execution with IF, ELSE, and ENDIF.
• Arithmetic Operations: Supports basic operations such as addition, subtraction, multiplication, and division.
• Array Operations: Manages arrays and allows operations on them.
• Incremental Changes: Facilitates incremental changes in axes positions like X=IC(2).

Additional Functionality

• Custom Axes: Allows users to define additional axes beyond the standard X, Y, Z.
• Initial State Configuration: Enables the use of an initial state MPF file to set default values for multiple runs.
• CLI Options: Numerous command-line options to customize the processing, such as axis overriding, loop limits, and more.

Example Usage

Consider this example program to generate a square in two layers:

; Example.MPF
DEF INT n_layers = 2, layer = 1
DEF REAL size = 100 ; size of the square
DEF REAL layer_height = 4 ; height of each layer
TRANS Z = 0.5 ; move up all Z coordinates by 0.5
G1 F=1000 ; Set feed rate in millimeters per minute
G1 X0 Y500 Z0 ; move to the starting point
WHILE (layer <= n_layers)
    X=IC(size)
    Y=IC(size)
    X=IC(-size)
    Y=IC(-size) Z=IC(layer_height)
    layer = layer + 1
ENDWHILE
M31 ; end of program


### CLI Usage
```bash
$ cargo run -- --help
A G-code interpreter

Usage: nc-gcode-interpreter [OPTIONS] <input>

Arguments:
  <input>  Input G-code file (.mpf)

Options:
  -a, --axes <AXIS>                    Override default axis identifiers (comma-separated, e.g., "X,Y,Z")
  -e, --extra-axes <EXTRA_AXIS>        Add extra axis identifiers (comma-separated, e.g., "RA1,RA2")
  -i, --initial_state <INITIAL_STATE>  Optional initial state file to e.g. define global variables or set axis positions
  -l, --iteration_limit <LIMIT>        Maximum number of iterations for loops [default: 10000]
  -f, --disable-forward-fill           Disable forward-filling of null values in axes columns
  -h, --help                           Print help
  -V, --version                        Print version

$ cargo run -- Example.MPF

X			,Y			,Z			,F			,M	 ,gg01_motion	,comment
			,			,			,			,	 ,			    ,;size of the square
			,			,			,			,	 ,			    ,;size of the square
			,			,			,			,	 ,			    ,; move up all z coordinates by 0.5
			,			,			,1000.000	,	 ,G1			,; Set feed rate in millimeters per minute
0.000		,500.000	,0.500		,1000.000	,	 ,G1			,; move to the starting point
100.000		,500.000	,0.500		,1000.000	,	 ,G1			,
100.000		,600.000	,0.500		,1000.000	,	 ,G1			,
0.000		,600.000	,0.500		,1000.000	,	 ,G1			,
0.000		,500.000	,5.000		,1000.000	,	 ,G1			,
100.000		,500.000	,5.000		,1000.000	,	 ,G1			,
100.000		,600.000	,5.000		,1000.000	,	 ,G1			,
0.000		,600.000	,5.000		,1000.000	,	 ,G1			,
0.000		,500.000	,9.500		,1000.000	,	 ,G1			,
0.000		,500.000	,9.500		,1000.000	,M31 ,G1			,; end of program

python example

To install the Python bindings, run:

pip install nc-gcode-interpreter

Then, you can use the Python bindings to convert an MPF file to a DataFrame:

python -c "\
from nc_gcode_interpreter import nc_to_dataframe; \
from pathlib import Path; \
df, state = nc_to_dataframe(Path('Example.MPF').open()); \
print(df)"
shape: (14, 7)
┌───────┬───────┬──────┬────────┬───────────┬─────────────┬─────────────────────────────────┐
│ X     ┆ Y     ┆ Z    ┆ F      ┆ M         ┆ gg01_motion ┆ comment                         │
│ ---   ┆ ---   ┆ ---  ┆ ---    ┆ ---       ┆ ---         ┆ ---                             │
│ f32   ┆ f32   ┆ f32  ┆ f32    ┆ list[str] ┆ str         ┆ str                             │
╞═══════╪═══════╪══════╪════════╪═══════════╪═════════════╪═════════════════════════════════╡
│ null  ┆ null  ┆ null ┆ null   ┆ null      ┆ null        ┆ ;size of the square             │
│ null  ┆ null  ┆ null ┆ null   ┆ null      ┆ null        ┆ ;size of the square             │
│ null  ┆ null  ┆ null ┆ null   ┆ null      ┆ null        ┆ ; move up all z coordinates by… │
│ null  ┆ null  ┆ null ┆ 1000.0 ┆ null      ┆ G1          ┆ ; Set feed rate in millimeters… │
│ 0.0   ┆ 500.0 ┆ 0.5  ┆ 1000.0 ┆ null      ┆ G1          ┆ ; move to the starting point    │
│ …     ┆ …     ┆ …    ┆ …      ┆ …         ┆ …           ┆ …                               │
│ 100.0 ┆ 500.0 ┆ 5.0  ┆ 1000.0 ┆ null      ┆ G1          ┆ null                            │
│ 100.0 ┆ 600.0 ┆ 5.0  ┆ 1000.0 ┆ null      ┆ G1          ┆ null                            │
│ 0.0   ┆ 600.0 ┆ 5.0  ┆ 1000.0 ┆ null      ┆ G1          ┆ null                            │
│ 0.0   ┆ 500.0 ┆ 9.5  ┆ 1000.0 ┆ null      ┆ G1          ┆ null                            │
│ 0.0   ┆ 500.0 ┆ 9.5  ┆ 1000.0 ┆ ["M31"]   ┆ G1          ┆ ; end of program                │
└───────┴───────┴──────┴────────┴───────────┴─────────────┴─────────────────────────────────┘

The Python bindings also return the state of the program after execution, which can be used for inspection.

Additionally, conversion from a Polars DataFrame back to an MPF (NC) program is also supported:

python -c "\
from nc_gcode_interpreter import nc_to_dataframe, dataframe_to_nc; \
from pathlib import Path; \
df, state = nc_to_dataframe(Path('Example.MPF').open(), extra_axes=['ELX']); \
dataframe_to_nc(df, Path('Example_out.MPF').open('w'))" 

target/release/nc-gcode-interpreter --help
A G-code interpreter

Usage: nc-gcode-interpreter [OPTIONS] <input>

Arguments:
  <input>  Input G-code file (.mpf)

Options:
  -a, --axes <AXIS>                    Override default axis identifiers (comma-separated, e.g., "X,Y,Z")
  -e, --extra-axes <EXTRA_AXIS>        Add extra axis identifiers (comma-separated, e.g., "RA1,RA2")
  -i, --initial_state <INITIAL_STATE>  Optional initial_state file to initialize state
  -l, --iteration_limit <LIMIT>             Maximum number of iterations for loops [default: 10000]
  -f, --disable-forward-fill           Disable forward-filling of null values in axes columns
  -h, --help                           Print help
  -V, --version                        Print version

Why?

The Sinumerik NC programming guide is extensive, and some of its functionality can be very convenient for making on-the-fly improvements to code. However, to better understand, visualize, and simulate the code, it is often necessary to convert it to a more structured format like CSV or a DataFrame. This tool aims to provide a simple and efficient way to convert Sinumerik-flavored G-code to a structured format, making it easier to analyze and visualize.

Only a limited subset is supported, but the tool is designed to be easily extensible to support more features in the future.

Contributing

We welcome contributions! Please see our Contributing Guidelines for more details on how to get started.