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)
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
ASOUL直播间弹幕抓取&&数据分析

ASOUL直播间弹幕抓取&&数据分析(更新中) 这些文件用于爬取ASOUL直播间的弹幕(其他直播间也可以)和其他信息,以及简单的数据分析生成。

159 Dec 10, 2022
This repo contains a simple but effective tool made using python which can be used for quality control in statistical approach.

📈 Statistical Quality Control 📉 This repo contains a simple but effective tool made using python which can be used for quality control in statistica

SasiVatsal 8 Oct 18, 2022
DataPrep — The easiest way to prepare data in Python

DataPrep — The easiest way to prepare data in Python

SFU Database Group 1.5k Dec 27, 2022
Flexible HDF5 saving/loading and other data science tools from the University of Chicago

deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt

UChicago - Department of Computer Science 255 Dec 10, 2022
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.

tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s

Isaac Robinson 61 Nov 21, 2022
A set of tools to analyse the output from TraDIS analyses

QuaTradis (Quadram TraDis) A set of tools to analyse the output from TraDIS analyses Contents Introduction Installation Required dependencies Bioconda

Quadram Institute Bioscience 2 Feb 16, 2022
PyEmits, a python package for easy manipulation in time-series data.

PyEmits, a python package for easy manipulation in time-series data. Time-series data is very common in real life. Engineering FSI industry (Financial

Thompson 5 Sep 23, 2022
PySpark bindings for H3, a hierarchical hexagonal geospatial indexing system

h3-pyspark: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in PySpark PySpark bindings for the H3 core library. For available functions,

Kevin Schaich 12 Dec 24, 2022
Reading streams of Twitter data, save them to Kafka, then process with Kafka Stream API and Spark Streaming

Using Streaming Twitter Data with Kafka and Spark Reading streams of Twitter data, publishing them to Kafka topic, process message using Kafka Stream

Rustam Zokirov 1 Dec 06, 2021
Instant search for and access to many datasets in Pyspark.

SparkDataset Provides instant access to many datasets right from Pyspark (in Spark DataFrame structure). Drop a star if you like the project. 😃 Motiv

Souvik Pratiher 31 Dec 16, 2022
Used for data processing in machine learning, and help us to construct ML model more easily from scratch

Used for data processing in machine learning, and help us to construct ML model more easily from scratch. Can be used in linear model, logistic regression model, and decision tree.

ShawnWang 0 Jul 05, 2022
Analyze the Gravitational wave data stored at LIGO/VIRGO observatories

Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program

1 Jan 23, 2022
X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

Nguyễn Quang Huy 5 Sep 28, 2022
A distributed block-based data storage and compute engine

Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.

Columns AI 131 Dec 26, 2022
Python-based Space Physics Environment Data Analysis Software

pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is

SPEDAS 98 Dec 22, 2022
Nobel Data Analysis

Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries

Mohammed Hassan El Sayed 1 Jan 24, 2022
NFCDS Workshop Beginners Guide Bioinformatics Data Analysis

Genomics Workshop FIXME: overview of workshop Code of Conduct All participants s

Elizabeth Brooks 2 Jun 13, 2022
BErt-like Neurophysiological Data Representation

BENDR BErt-like Neurophysiological Data Representation This repository contains the source code for reproducing, or extending the BERT-like self-super

114 Dec 23, 2022
A simplified prototype for an as-built tracking database with API

Asbuilt_Trax A simplified prototype for an as-built tracking database with API The purpose of this project is to: Model a database that tracks constru

Ryan Pemberton 1 Jan 31, 2022