Skip to main content

Executable Shlaer-Mellor Class Model Parser

Project description

Executable Class Model Parser

Parses an *.xcm file (Executable Class Model) to yield an abstract syntax tree using python named tuples

Why you need this

You need to process an *.xcm file in preparation for populating a database or some other purpose

Installation

Create or use a python 3.11+ environment. Then

% pip install xcm-parser

At this point you can invoke the parser via the command line or from your python script.

From your python script

You need this import statement at a minimum:

from xcm-parser.parser import ClassModelParser

You can then specify a path as shown:

result = ClassModelParser.parse_file(file_input=path_to_file, debug=False)

In either case, result will be a list of parsed class model elements. You may find the header of the visitor.py file helpful in interpreting these results.

From the command line

This is not the intended usage scenario, but may be helpful for testing or exploration. Since the parser may generate some diagnostic info you may want to create a fresh working directory and cd into it first. From there...

% xcm elevator.xcm

The .xcm extension is not necessary, but the file must contain xcm text. See this repository's wiki for more about the xcm language. The grammar is defined in the class_model.peg file. (if the link breaks after I do some update to the code, just browse through the code looking for the class_model.peg file, and let me know so I can fix it)

You can also specify a debug option like this:

% xcm elevator.xcm -D

This will create a scrall-diagnostics folder in your current working directory and deposite a coupel of PDFs defining the parse of both the class model grammar: class_model_tree.pdf and your supplied text: class_model.pdf.

You should also see a file named xcm-parser.log in a diagnostics directory within your working directory

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

xcm-parser-0.2.5.tar.gz (12.7 kB view details)

Uploaded Source

Built Distribution

xcm_parser-0.2.5-py3-none-any.whl (13.4 kB view details)

Uploaded Python 3

File details

Details for the file xcm-parser-0.2.5.tar.gz.

File metadata

  • Download URL: xcm-parser-0.2.5.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for xcm-parser-0.2.5.tar.gz
Algorithm Hash digest
SHA256 cf64b4b407f919e3b9687282f4680f1f3db5d78cdc1e35896cd554e3c4695db3
MD5 06c4973a79cf724b5f5496775f891f75
BLAKE2b-256 d909207310f3c52e117d89faf4936c0ce060c7fede4370ec13b7b39df7be7a91

See more details on using hashes here.

File details

Details for the file xcm_parser-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: xcm_parser-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 13.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for xcm_parser-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 c0448175ff85b095b3bcfbe33253d4aad4a9f008f6b5ce8cadafa6c55725ce01
MD5 196889e1bd7640e5613df8cc0c3f1d2f
BLAKE2b-256 2ed6fd48ef419de8a417f68c622f4d2abe67decd976980039c17629ee0ff0af2

See more details on using hashes here.

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