Picka: A Python module for data generation and randomization.

Related tags

Data Analysispicka
Overview

Picka: A Python module for data generation and randomization.

Author: Anthony Long
Version: 1.0.1 - Fixed the broken image stuff. Whoops

What is Picka?

Picka generates randomized data for testing.

Data is generated both from a database of known good data (which is included), or by generating realistic data (valid), using string formatting (behind the scenes).

Picka has a function for any field you would need filled in. With selenium, something like would populate the "field-name-here" box for you, 100 times with random names.

for x in xrange(101):
        self.selenium.type('field-name-here', picka.male_name())

But this is just the beginning. Other ways to implement this, include using dicts:

user_information = {
        "first_name": picka.male_name(),
        "last_name": picka.last_name(),
        "email_address": picka.email(10, extension='example.org'),
        "password": picka.password_numerical(6),
}

This would provide:

{
        "first_name": "Jack",
        "last_name": "Logan",
        "email_address": "[email protected]",
        "password": "485444"
}

Don't forget, since all of the data is considered "clean" or valid - you can also use it to fill selects and other form fields with pre-defined values. For example, if you were to generate a state; picka.state() the result would be "Alabama". You can use this result to directly select a state in an address drop-down box.

Examples:

Selenium

def search_for_garbage():
        selenium.open('http://yahoo.com')
        selenium.type('id=search_box', picka.random_string(10))
        selenium.submit()

def test_search_for_garbage_results():
        search_for_garbage()
        selenium.wait_for_page_to_load('30000')
        assert selenium.get_xpath_count('id=results') == 0

Webdriver

driver = webdriver.Firefox()
driver.get("http://somesite.com")
x = {
        "name": [
                "#name",
                picka.name()
        ]
}
driver.find_element_by_css_selector(
        x["name"][0]).send_keys(x["name"][1]
)

Funcargs / pytest

def pytest_generate_tests(metafunc):
        if "test_string" in metafunc.funcargnames:
                for i in range(10):
                        metafunc.addcall(funcargs=dict(numiter=picka.random_string(20)))

def test_func(test_string):
        assert test_string.isalpha()
        assert len(test_string) == 20

MySQL / SQLite

first, last, age = picka.first_name(), picka.last_name(), picka.age()
cursor.execute(
   "insert into user_data (first_name, last_name, age) VALUES (?, ?, ?)",
   (first, last, age)
)

HTTP

def post(host, data):
        http = httplib.HTTP(host)
        return http.send(data)

def test_post_result():
        post("www.spam.egg/bacon.htm", picka.random_string(10))
Comments
  • No test suite

    No test suite

    Slightly ironic, a test data generation toolkit which doesnt have a test suite.

    Also setup.py doesnt declare Python 3 support, hence the need for a test suite to validate it works correctly.

    opened by jayvdb 1
  • Additional Functionality for Testers to Add Their Own Data

    Additional Functionality for Testers to Add Their Own Data

    Picka provides general data for testing. Leveraging this effort provides custom test data. Test data is not limited to just preconfigured values when it's possible to add custom test data. Data can be accessed sequentially, randomly or completely.

    opened by bkuehlhorn 1
  • Fixed test file, added alternative sentence maker

    Fixed test file, added alternative sentence maker

    1. Fixed usage of number in tests (it takes one arg, not two)
    2. Added sentence_actual, which returns an actual sentence from the Sherlock text.
    3. Added _picka._Book class to hold the text and split sentences read from Sherlock. Users can call sentence() without reading the entire file again and again.
    4. Added test of sentence_actual to picka.tests

    The sentence_actual function has some nice features:

    1. You're much less likely to get a sentence fragment
    2. You can specify a minimum and maximum number of words
    3. It should be relatively efficient, because the split sentences are cached by the _Book class.

    The sentences aren't always perfect, but I think that has to do with the source. A book other than Sherlock Holmes, preferably one with less dialog, would give more "normal" sentences.

    opened by TadLeonard 1
  • Library does not take locale into account

    Library does not take locale into account

    The library assumes an English locale is used (e.g., English-language hardcoded month names). Ideally the library would use locale-dependent constants so that computations are done correctly (e.g., the duration of a month in month_and_day):

    >>> locale.setlocale(locale.LC_ALL, 'it_IT')
    'it_IT'
    >>> picka.month()
    'Marzo'
    >>> picka.month_and_day()
    'Maggio 2'
    
    opened by svisser 0
  • picka.age will return ages outside of the bounds

    picka.age will return ages outside of the bounds

    If I call picka.age(1, 1) repeatedly I get 1 and 2 as results. I would have expected it to always return 1. Note that this situation can occur when passing variables to picka.age, I don't expect people to write this in their code themselves.

    I can also get ages outside of the bounds when I call picka.age(0, 1) which resorts to using the default values and can therefore return any age within the default values.

    opened by svisser 0
  • Module name means

    Module name means "cunt"

    I'm not sure if this is a real issue, but when I look at this module I cannot do so with a straight face. "Picka" is "cunt" in Serbian, Macedonian, Bosnian, Croatian, and I'm unsure as to whether there are other languages where this holds.

    While not grounds for any specific action, I find this largely amusing and just wanted to share.

    opened by geomaster 2
Releases(v0.96)
Pypeln is a simple yet powerful Python library for creating concurrent data pipelines.

Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln

Cristian Garcia 1.4k Dec 31, 2022
Provide a market analysis (R)

market-study Provide a market analysis (R) - FRENCH Produisez une étude de marché Prérequis Pour effectuer ce projet, vous devrez maîtriser la manipul

1 Feb 13, 2022
Extract data from a wide range of Internet sources into a pandas DataFrame.

pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d

Python for Data 2.5k Jan 09, 2023
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.

An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.

1 Feb 11, 2022
Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Damien Farrell 81 Dec 26, 2022
PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

1 Feb 07, 2022
A tax calculator for stocks and dividends activities.

Revolut Stocks calculator for Bulgarian National Revenue Agency Information Processing and calculating the required information about stock possession

Doino Gretchenliev 200 Oct 25, 2022
Open-source Laplacian Eigenmaps for dimensionality reduction of large data in python.

Fast Laplacian Eigenmaps in python Open-source Laplacian Eigenmaps for dimensionality reduction of large data in python. Comes with an wrapper for NMS

17 Jul 09, 2022
track your GitHub statistics

GitHub-Stalker track your github statistics 👀 features find new followers or unfollowers find who got a star on your project or remove stars find who

Bahadır Araz 34 Nov 18, 2022
Produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.

Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos

Graham Lea 12 May 26, 2022
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house

This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con

Amit Prakash 1 Jan 21, 2022
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Lawrence Livermore National Laboratory 14 Aug 19, 2022
CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner.

CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner. It is aimed to integrate this tool with several more features including providing a U

Ravi Prakash 3 Jun 27, 2021
CS50 pset9: Using flask API to create a web application to exchange stocks' shares.

C$50 Finance In this guide we want to implement a website via which users can “register”, “login” “buy” and “sell” stocks, like below: Background If y

1 Jan 24, 2022
Learn machine learning the fun way, with Oracle and RedBull Racing

Red Bull Racing Analytics Hands-On Labs Introduction Are you interested in learning machine learning (ML)? How about doing this in the context of the

Oracle DevRel 55 Oct 24, 2022
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains This repository contains the source code for an end-to-end open-domain question

7 Sep 27, 2022
This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

Donald F. Ferguson 4 Mar 06, 2022
Implementation in Python of the reliability measures such as Omega.

reliabiliPy Summary Simple implementation in Python of the [reliability](https://en.wikipedia.org/wiki/Reliability_(statistics) measures for surveys:

Rafael Valero Fernández 2 Apr 27, 2022
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022