info-check-toolkits 0.0.6

a set of toolkits for checking a dictionary with String values

Info Check Toolkits

Check a dictionary with String values

Probelms

Contains the result of the check

• problem_type: empty value or invalid value
• column: which column do the problem occur
• msg: detail about the problem

Limits

Currently support four limits

• num_limit(int): a certain limit of the length of the value
• no_space(bool): control whether space can be used in value
• is_date(bool): control whether the value has a format of YYYYMMDD
• value_range(List): a list of value in which value can be choosen

Default options

• num_limit: 0 (no limit)
• no_space: True (space can't be used)
• is_date: False
• value_range: [] (no limit)

Processor

Attributes

• columns: a list of the columns of the dictionary
• limits: a dictionary from columns to Limit objects, store options for each column

Method

• check_row(row): check given dictionary with given limits, return a list of problems or None

Usage

Code

from info_check_toolkits.toolkits import *

columns = ['name', 'age', 'sex']
limits = [
    Limit(num_limit=4),
    Limit(value_range=[str(i) for i in range(100)]),
    Limit(num_limit=1, value_range=('M', 'F'))
]

processor = Processor(columns, limits)

row = {'name': 'alice', 'age': '18', 'sex': 'm'}
result = processor.check_row(row)
if result is not None:
    for problem in result:
        print(problem.msg)

Output

name is more than 4
sex is out of range