pySFeel

An implementation S-FEEL (Simple Expression Language) as specified in the DMN (Decision Model Notation) standard. pySFeel is implemented in Python, using the SLY module and has many FEEL features.

not, and and or in logical expressions which can be enclosed in round brackets (())
in() function, e.g. 5 in(<6)
Lists and filters
Contexts and filters
Ranges
Built in functions

pySFeel processes a single S-FEEL statement at a time. It is not intended to be a syntactically perfect implementation of S-FEEL, but rather an enabler for an implementation of DMN (Decision Model Notation) pyDMNrules. The internal data types are float, string, boolean, datetime.date, datetime.time, and datetime.timedelta. The S-FEEL constant null is mapped to None. Years and months durations are stored as floats. Days and time durations are stored as datetime.timedelta

There is one deliberate deviation from the standard - the key word 'item' in a Context filters is not optional. [{x:1,y:2},{x:2,y:3}][x=1] is not valid (as x=1 is either True or False), but [{x:1,y:2},{x:2,y:3}][item x=1] is valid and will return {x:1,y:2}. Similarly, fred.y is not the 'y' filter on the List of Contexts named 'fred' (as fred.y is a valid name). However (fred).y is the 'y' filter on the list of Contexts named fred.

There's one extension - an assignment operator (<-)

fred <- 7
bill <- 9
fred = bill

This will return False

fred <- [{x:1,y:2},{x:2,y:3}]
(fred).y

This will return [2,3]

USAGE:

import pySFeel
parser = pySFeel.SFeelParser()
sfeelText = '7.3 in [2.0 .. 9.1]'
(status, retVal) = parser.sFeelParse(sfeelText)
if 'errors' in status:
    print('With errors:', status['errors'])

retVal will be True
The dictonary 'status' will have the key 'errors' if you have errors in your sfeelText.
status['errors'] is a list of strings. It may help in diagnosing your S-FEEL syntax errors.

Documentation: More details can be found at readthedocs

Metadata

Release files for pySFeel 0.1.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pySFeel 0.1.9
File	Size	Uploaded
pySFeel-0.1.9.tar.gz	13.4 kB	Jan 27, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for pySFeel 0.1.9
File	Interpreter	ABI	Platform	Reset
pySFeel-0.1.9-py3-none-any.whl 24.4 kB Jan 27, 2020	Python 3	none	any	Details

Total release size: 37.9 kB

Release files / pySFeel-0.1.9.tar.gz

Download URL	pySFeel-0.1.9.tar.gz
Size	13.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`c791bea70af94be5e081fb50f88b92177c80baca0c335652c29bebb1a548d273`
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Upload date	Jan 27, 2020
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Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.8.0`

Release files / pySFeel-0.1.9-py3-none-any.whl

Download URL	pySFeel-0.1.9-py3-none-any.whl
Size	24.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f09c14160f94908672b28897fdebaebb521d7bcd94282002b4a05fa693c76a6f`
BLAKE2b-256 checksum How to use checksums	`89737cc6a5f479c2161c9ea526ef21a67e7a44cb5b3bc47bb67787f8517353da`
Upload date	Jan 27, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.8.0`