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Python Libraries

Talk Creating Libraries - Why and How from RoboCon 2021

Static Library​

A static library has all of its robot framework keywords defined as python functions.

Static Library With a Class​

class DemoLibrary:
    def __init__(self, *args, **kwargs):
        print(f"Sample Library initialized with args: {args} and kwargs: {kwargs}")
 
    def my_keyword(self, *args, **kwargs):
        print(f"Keyword got args: {args} and kwargs: {kwargs}")
        return "Hello World"
*** Settings ***
Library    DemoLibrary.py

*** Test Cases ***
Use a Keyword with multiple arguments
    My Keyword    Argument 1    Argument 2    Named Argument=One Value

Static Library withouth a Class​

import base64

def encode_as_base64(string):
    """
    Encode string as base64.
    """
    return base64.b64encode(string.encode())

def decode_from_base64(string):
    """
    Decode string from base64.
    """
    return base64.b64decode(string).decode()
*** Settings ***
Library    LibraryWithoutClass.py

*** Test Cases ***
Use Custom Keywords
    ${base64}    Encode As Base64    This is a Test String
    Log    ${base64}
    ${decoded}    Decode From Base64    ${base64}
    Log    ${decoded}

Decorators​

You can add decorators like @keyword @not_keyword to mark your functions as keywords and e.g. provide another name for the keyword.

from robot.api.deco import keyword, not_keyword


@keyword('Login via user panel')
def login(username, password):
      # ...

@not_keyword
def this_is_not_keyword():
    pass

It can even be used to add tags or change the argument conversion.

from robot.api.deco import keyword


@keyword(tags=['tag1', 'tag2'])
def login(username, password):
    # ...

@keyword('Custom name', ['tags', 'here'])
def another_example():
    # ...

@keyword(types={'count': int, 'case_insensitive': bool})
def example_keyword(count, case_insensitive=True):
    if case_insensitive:
        # ...

@keyword(types=[int, bool])
def example_keyword(count, case_insensitive=True):
    if case_insensitive:
        # ...

A simple Calculate.py library with a single keyword that calculates a mathematical expression.

def calculate(term):
    if term == "":
        return 0
    else:
        return eval(term)
*** Settings ***
Library    Calculate.py

*** Test Cases ***
Perform Calculations
    ${result}    Calculate    1 + 2
    Should Be Equal As Numbers    ${result}    3
    ${result}    Calculate    10 * 5
    Should Be Equal As Numbers    ${result}    50
    ${result}    Calculate    8 / 4
    Should Be Equal As Numbers    ${result}    2
    ${result}    Calculate    2 - 1
    Should Be Equal As Numbers    ${result}    1

Examples​