Skip to main content

Swimlane Faker

Currently, this repository holds code for generating fake values from a passed in string. This package is called swimlane-faker

swimlane-faker relies of soc-faker to generate it's values as well as pendulum at this time.

Installation

To install this package simply install using pip:

pip3 install swimlane-faker

swimlane-faker syntax

The following items can be faked provided the correct inputs:

from swimlanefaker import SwimlaneFaker

sf = SwimlaneFaker()

import pendulum

# Standard Random Data Generator Options
sf.get('True')
sf.get('[[a|b|c|d]]') in ['a','b','c','d']
sf.get('[[a|b|c|d]]') not in ['x','y','z']
sf.get('[[int:0-100]]') in range(0,100)

# Standard Generated Data Options (datetime)

sf.get('[[datetime:now-2d]]')
sf.get('[[datetime:now-2h]]')
sf.get('[[datetime:now-2m]]')
sf.get('[[datetime:now-2s]]')
sf.get('[[datetime:now+2d]]')
sf.get('[[datetime:now+2h]]') 
sf.get('[[datetime:now+2m]]') 
sf.get('[[datetime:now+2s]]')

# Pendulum Generated Data Options
sf.get('<<pendulum.now()>>')
sf.get('<<pendulum.now().add(years=1)>>')
sf.get('<<pendulum.now().add(months=1)>>')
sf.get('<<pendulum.now().add(weeks=1)>>')
sf.get('<<pendulum.now().add(days=1)>>')
sf.get('<<pendulum.now().add(hours=1)>>')
sf.get('<<pendulum.now().add(minutes=1)>>')
sf.get('<<pendulum.now().add(seconds=1)>>')
sf.get('<<pendulum.now().add(years=1,months=1,weeks=1,days=1,hours=1,minutes=1,seconds=1)>>')
sf.get('<<pendulum.now().subtract(years=1)>>')
sf.get('<<pendulum.now().subtract(months=1)>>')
sf.get('<<pendulum.now().subtract(weeks=1)>>')
sf.get('<<pendulum.now().subtract(days=1)>>')
sf.get('<<pendulum.now().subtract(hours=1)>>')
sf.get('<<pendulum.now().subtract(minutes=1)>>')
sf.get('<<pendulum.now().subtract(seconds=1)>>')
sf.get('<<pendulum.now().subtract(years=1,months=1,weeks=1,days=1,hours=1,minutes=1,seconds=1)>>')

# SocFaker Generated Data Options

sf.get('<<socfaker.logs.syslog(count=2)>>')
sf.get('<<socfaker.computer.name>>')
sf.get('<<socfaker.computer.disk>>')
sf.get('<<socfaker.computer.memory>>')
sf.get('<<socfaker.computer.platform>>')
sf.get('<<socfaker.computer.mac_address>>')
sf.get('<<socfaker.computer.os>>')
sf.get('<<socfaker.application.name>>')
sf.get('<<socfaker.application.status>>')
sf.get('<<socfaker.application.account_status>>')
sf.get('<<socfaker.application.logon_timestamp>>')
sf.get('<<socfaker.employee.name>>')
sf.get('<<socfaker.employee.first_name>>')
sf.get('<<socfaker.employee.last_name>>')
sf.get('<<socfaker.employee.username>>')
sf.get('<<socfaker.employee.email>>')
sf.get('<<socfaker.employee.gender>>')
sf.get('<<socfaker.employee.account_status>>')
sf.get('<<socfaker.employee.ssn>>')
sf.get('<<socfaker.employee.dob>>')
sf.get('<<socfaker.employee.photo>>')
sf.get('<<socfaker.employee.user_id>>')
sf.get('<<socfaker.employee.phone_number>>')
sf.get('<<socfaker.employee.logon_timestamp>>')
sf.get('<<socfaker.employee.language>>')
sf.get('<<socfaker.employee.title>>')
sf.get('<<socfaker.employee.department>>')
sf.get('<<socfaker.file.filename>>')
sf.get('<<socfaker.file.size>>')
sf.get('<<socfaker.file.timestamp>>')
sf.get('<<socfaker.file.hashes>>')
sf.get('<<socfaker.file.md5>>')
sf.get('<<socfaker.file.sha1>>')
sf.get('<<socfaker.file.sha256>>')
sf.get('<<socfaker.file.full_path>>')
sf.get("<<socfaker.file.signed>>")
sf.get("<<socfaker.file.signature>>")
sf.get("<<socfaker.file.signature_status>>")
sf.get("<<socfaker.logs.windows.eventlog(count=1)>>")
sf.get("<<socfaker.logs.windows.sysmon(count=2)>>")
sf.get("<<socfaker.network.ipv4>>")
sf.get("<<socfaker.network.ipv6>>")
sf.get("<<socfaker.network.get_cidr_range('192.168.1.0/24')>>")
sf.get("<<socfaker.network.hostname>>")
sf.get("<<socfaker.network.netbios>>")
sf.get("<<socfaker.network.mac>>")
sf.get("<<socfaker.network.protocol>>")
sf.get("<<socfaker.organization.name>>")
sf.get("<<socfaker.organization.division>>")
sf.get("<<socfaker.organization.title>>")
sf.get("<<socfaker.products.azure.vm.details>>")
sf.get("<<socfaker.products.azure.vm.metrics>>")
sf.get("<<socfaker.products.azure.vm.metrics.average>>")
sf.get("<<socfaker.products.azure.vm.metrics.graphs>>")
sf.get("<<socfaker.products.azure.vm.topology>>")
sf.get("<<socfaker.products.elastic.hits(count=1)>>")
sf.get("<<socfaker.products.qualysguard.scan(count=1)>>")
sf.get("<<socfaker.products.servicenow.search()>>")
sf.get("<<socfaker.user_agent>>")
sf.get("<<socfaker.vulnerability().host>>")
sf.get("<<socfaker.vulnerability().scan>>")
sf.get("<<socfaker.vulnerability().data>>")
sf.get("<<socfaker.vulnerability().critical>>")
sf.get("<<socfaker.vulnerability().high>>")
sf.get("<<socfaker.vulnerability().medium>>")
sf.get("<<socfaker.vulnerability().low>>")
sf.get("<<socfaker.vulnerability().informational>>")

Metadata

Release files for swimlane-faker 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for swimlane-faker 0.2.0
File Size Uploaded
swimlane-faker-0.2.0.tar.gz 4.5 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for swimlane-faker 0.2.0
File Interpreter ABI Platform
swimlane_faker-0.2.0-py3-none-any.whl Python 3 none any Details
swimlane_faker-0.2.0-py2-none-any.whl Python 2 none any Details

Total release size: 17.3 kB

Release files / swimlane-faker-0.2.0.tar.gz

Download URL swimlane-faker-0.2.0.tar.gz
Size 4.5 kB
Tags Source
SHA-256 checksum
How to use checksums
015095744e29fea984c76c0d5adb4b31b539da836af911c8e1b1321d153c054d
BLAKE2b-256 checksum
How to use checksums
7c490791f2dc41377f6d8d4dcb9df07619da69769230a08bbe6f4a70a30f48d1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

Release files / swimlane_faker-0.2.0-py3-none-any.whl

Download URL swimlane_faker-0.2.0-py3-none-any.whl
Size 6.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c200287421ba67f144f1ccb13616527709f87769dc64b11c053a2a757217657d
BLAKE2b-256 checksum
How to use checksums
68f9fb7c7fcfd265b4e1bc9f20c01aff22bf9f688f88af231001aed982928c66
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

Release files / swimlane_faker-0.2.0-py2-none-any.whl

Download URL swimlane_faker-0.2.0-py2-none-any.whl
Size 6.4 kB
Tags Python 2
SHA-256 checksum
How to use checksums
1acc5b1a56ce3a5639dbd9e0e3206858853db9e0e470a9df85172459baef2961
BLAKE2b-256 checksum
How to use checksums
13e48bcb8c1792feae8f5c741dbdd94e7fd7797eee25d09ee2a0079239380b2c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

Release history Release notifications | RSS feed

This release

0.2.0 This release

3 release files

0.1.0

3 release files

0.0.4

3 release files

0.0.3

2 release files

0.0.2

3 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page