decorator-parser 1.1.0

Parser for text files with decorators into Python dictionaries

Decorators Parser

License

© 2023 Smartschool Inc. All rights reserved.

Installation guide

1. Install Python 3.7 or newer from https://www.python.org/downloads/
2. Install PIP using this guide
3. Run pip install decorator-parser in your command line

Decorators format

Decorator name can be any string that does not contain '@' character. If decorator does not satisfy this requirement InvalidDecoratorException will be thrown.

Example:

@decorator(some nice value)

Standard decorators

Decorators can be used in one of three ways:

@decorator(value)

or

@decorator()
Some very long and complicated value that would be hard to read if it were in parenthesis like the value above.

or

@decorator
Some very long and complicated value that would be hard to read if it were in parenthesis like the value above.

All of these create Python dictionary like this:

{
    'decorator': 'value'
}

@new decorator

Using @new decorator starts a new dictionary and adds it to the current list of dictionaries. In a single piece of text between two @new decorators (which correspond to a single Python dictionary) there can not be two decorators with the same name. Using a same name without an appropriate @new decorator will result in DuplicateDecoratorException being thrown.

Example:

task.txt:

@question()
Who is Lincoln?

@new
@question()
What is the purpose of the Bill of Rights?

run.py:

from decorator_parser.parse import Parser
task_parser = Parser()
print(task_parser.parse_file('task.txt'))

result:

[
    {
        'question': 'Who is Lincoln?'
    },
    {
        'question': 'What is the purpose of the Bill of Rights?'
    }
]

Global decorators

In addition to standard decorators, decorators which name starts with global- are added to each dictionary while parsing a file. Dictionary key is the decorator's suffix after global-

Example:

task.txt:

@global-topic(History)
@question()
Who is Lincoln?

@new
@question()
What is the purpose of the Bill of Rights?

run.py:

from decorator_parser.parse import Parser
task_parser = Parser()
print(task_parser.parse_file('task.txt'))

result:

[
    {
        'topic': 'History',
        'question': 'Who is Lincoln?'
    },
    {
        'topic': 'History',
        'question': 'What is the purpose of the Bill of Rights?'
    }
]

Constraints

Decorators can use constraints on their values. If a decorator has value that does not match regular expression provided, Parser will throw InvalidValueException. Parser class takes optional constraints argument in its constructor which is a Python dictionary in a format shown below (if format of the given dictionary is invalid, InvalidConstraintException will be thrown):

example = {
    'question': 
    {
        'regex': '([^@]+)',
        'description': 'any non-empty string without @'
    },
    'correct':
    {
        'regex': '([1-4])',
        'description': 'any number from 1 to 4'
    }
}

Example 1

task.txt:

@correct(11)

run.py:

from decorator_parser.parse import Parser
task_parser = Parser(example)
print(task_parser.parse_file('task.txt'))

Will result in the following output:

errors.InvalidValueException: Line 1: 'correct' should be any number from 1 to 4 but is 11

Example 2

If we take Example 1 but change task.txt file to:

correct(1)

The output will be:

[
    {
        'correct': '1'
    }
]

Ignored decorators

If you need to use @ symbol for something else than decorator, you can specify names to exclude from the search

Example:

task.txt:

@question
Some long question with @ref in it

run.py:

from decorator_parser.parse import Parser
task_parser = Parser(ignored=['ref'])
print(task_parser.parse_file('task.txt'))

Will result in the following output:

[
    {
        'question': 'Some long question with @ref in it'
    }
]