Executable Shlaer-Mellor External Entity Operation Parser
Project description
Executable UML External Entity Operation Parser
Parses an *.op file (operation) to yield an abstract syntax tree using python named tuples
Why you need this
You need to process an *.op file in preparation for populating a database or some other purpose
Installation
Create or use a python 3.11+ environment. Then
% pip install op-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 op-parser.parser import OpParser
You then specify a path as shown:
result = OpParser.parse_file(file_input=path_to_file, debug=False)
The result
will be a list of parsed operation statements. 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...
% eeop arrived-at-floor.op
The .op extension is not necessary, but the file must contain operation text. See this repository's wiki for more about the xsm language. The grammar is defined in the operation.peg file. (if the link breaks after I do some update to the code, just browse through the code looking for the operation.peg file, and let me know so I can fix it)
You can also specify a debug option like this:
% eeop arrived-at-floor.op -D
This will create a diagnostics folder in your current working directory and deposit a couple of PDFs defining
the parse of both the state model grammar: operation_tree.pdf
and your supplied text: operation.pdf
.
You should also see a file named op-parser.log
in a diagnostics directory within your working directory
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file op-parser-0.1.1.tar.gz
.
File metadata
- Download URL: op-parser-0.1.1.tar.gz
- Upload date:
- Size: 9.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8a5c8203089f9508c0d22d0b4142086975091072455843f0cac5c376020bb3d9 |
|
MD5 | 08bb37807c7ad9a4ae4388173fbf7fb3 |
|
BLAKE2b-256 | 8f5f04f8d2d998a5812c148aab381b4052875ea6f1b882b768e44e3b28d258bf |
File details
Details for the file op_parser-0.1.1-py3-none-any.whl
.
File metadata
- Download URL: op_parser-0.1.1-py3-none-any.whl
- Upload date:
- Size: 9.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 268db1e9eea4cb949a2d5ee43289d3cc3ce2b04dc7ff02f55b964de62ab8f19e |
|
MD5 | e5ae3dd2fffbf3fe11a0fb5eb01075a8 |
|
BLAKE2b-256 | 4042db81aff9584972f0d856bd71c50c9293a7e399554cf345804b1e84cf84f3 |