Parser for text files with decorators into Python dictionaries
Project description
Decorators Parser
License
© 2023 Smartschool Inc. All rights reserved.
Installation guide
- Install Python 3.7 or newer from https://www.python.org/downloads/
- Install PIP using this guide
- 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'
}
]
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