Python's artifact library for constructing data-Faker

During development or testing, we often need to construct data for functional verification, but it takes time to manually create data and the data is not standardized enough. And Python provides a super easy to use open source library for falsifying data-Faker.

Faker is a Python third-party open source project. The built-in method can quickly create most types of data, such as name, address, phone number, ID card, time, network information, text information, etc., and combined with python syntax, it can be added to the database Construct stress test data in batches.

github address: https://github.com/joke2k/faker

Official document: https://faker.readthedocs.io/en/master/

Installation

pip install Faker

Basic usage

from faker import Faker
# Create an object, the default generated data is in English, use zh_CN designated as Chinese
fake =Faker('zh_CN')print(fake.name())#Randomly generate names
print(fake.address())#Randomly generated address
print(fake.phone_number())#Randomly generate phone numbers
print(fake.pystr())#Randomly generate string
print(fake.email())#Randomly generate email address
for i inrange(10):print(fake.name())#Randomly generate 10 names
Output:
Xu Bo
Block P, Wuzhou Road, Bishan, Yu City, Yunnan Province 52302813039830591
RPHadhNxNMISoBTbQbQn
[email protected]
Zhang Shuying
Ye Yan
Chen Lin
Wang Jun
Hu Xiurong
Ruan Shuying
Xu Juan
Huang Dongmei
Liang Lihua
Yuan Qin

Common methods

1、 Geographic Information

city_suffix(): city, county
country(): Country
country_code(): country code
district(): District
geo_coordinate(): geographic coordinates
latitude(): geographic coordinates (latitude)
longitude(): geographic coordinates (longitude)
postcode(): postcode
province(): province
address(): detailed address
street_address(): street address
street_name(): street name
street_suffix(): street, road

2、 Basic information

ssn(): Generate ID number
bs(): Random company service name
company(): Random company name (long)
company_prefix(): Random company name (short)
company_suffix(): The nature of the company, such as'Information Limited'
fake.credit_card_expire(start='now', end='+10y', date_format='%m/%y'): Random credit card expiration date such as '03/30'
credit_card_full(): Generate complete credit card information
credit_card_number(): credit card number
credit_card_provider(): credit card type
credit_card_security_code(): Credit card security code
job(): Random job
first_name_female(): female name
first_name_male(): Male name
name(): Randomly generate a full name
name_female(): Full male name
name_male(): Female full name
phone_number(): randomly generate mobile phone number
phonenumber_prefix(): randomly generate mobile phone number segment, such as 139

3、 Mailbox information

ascii_company_email(): Random ASCII company email name
ascii_email(): Random ASCII mailbox:
company_email()：
email()：
safe_email(): safe email

4、 Basic Network Information

domain_name(): Generate domain name
domain_word(): domain word (ie, does not include suffix)
ipv4(): Random IP4 address
ipv6(): Random IP6 address
mac_address(): random MAC address
tld(): URL domain name suffix (.com,.net.cn, etc., not including.)
uri(): random URI address
uri_extension(): URL file extension
uri_page(): URL file (not including suffix)
uri_path(): URL file path (not including file name)
url(): random URL address
user_name(): Random username
image_url(): Random URL address

5、 Browser information

chrome(): randomly generate Chrome browser user_agent information
firefox(): Randomly generate Firefox browser user_agent information
internet_explorer(): randomly generate IE browser user_agent information
opera(): randomly generate Opera's browser user_agent information
safari(): randomly generate Safari browser user_agent information
linux_platform_token(): random Linux information
user_agent(): random user_agent information

6、 Digital information

numerify(): Three random numbers
random_digit(): 0~9 random number
random_digit_not_null(): random number from 1 to 9
random_int(): random number, default 0~9999, can be set by setting min, max
random_number(): random number, the number of digits generated by the parameter digits setting
pyfloat()：
left_digits=5 #The number of generated integers, right_digits=2 #The number of decimals generated, positive=True #Whether there are only positive numbers
pyint(): random Int number (refer to random_int() parameter)
pydecimal(): random Decimal number (refer to pyfloat parameter)

7、 Text encryption

pystr(): random string
random_element(): random letters
random_letter(): random letter
paragraph(): randomly generate a paragraph
paragraphs(): Generate multiple paragraphs randomly
sentence(): randomly generate a sentence
sentences(): randomly generate multiple sentences, similar to paragraphs
text(): randomly generate an article
word(): randomly generated words
words(): randomly generate multiple words, usage and paragraphs, sentences, similar
binary(): Randomly generate binary codes
boolean()：True/False
language_code(): Randomly generate two-digit language code
locale(): Randomly generate language/international information
md5(): Generate MD5 randomly
null_boolean()：NULL/True/False
password(): randomly generated password, optional parameters: length: password length; special_chars: whether special characters can be used; digits: whether to include numbers; upper_case: whether to include uppercase letters; lower_case: whether to include lowercase letters
sha1(): random SHA1
sha256(): random SHA256
uuid4(): Random UUID

8、 Time information

date(): random date
date_between(): Randomly generate dates in the specified range, parameters: start_date, end_date
date_between_dates(): Randomly generate dates in the specified range, the usage is the same as above
date_object(): Randomly produce a random date from 1970-1-1 to the specified date.
date_time(): randomly generate the specified time (January 1, 1970 to present)
date_time_ad(): Generate a random time from 1 AD to the present
date_time_between(): usage is the same as dates
future_date(): future date
future_datetime(): future time
month(): random month
month_name(): Random month (English)
past_date(): Randomly generate the past date
past_datetime(): Randomly generate the past time
time(): Random 24-hour time
timedelta(): get the time difference randomly
time_object(): random 24-hour time, time object
time_series(): Random TimeSeries object
timezone(): random time zone
unix_time(): random Unix time
year(): random year

Custom provider

from faker import Faker
fake =Faker()from faker.providers import BaseProvider

# Create a custom class
classMyProvider(BaseProvider):
 def fun1(self):return'xxxxxx'

# Call add_provider method to add a provider
fake.add_provider(MyProvider)>>>fake.fun1()>>>'xxxxxx'

For more usage, please refer to the official document: https://faker.readthedocs.io/en/master/

Python&#39;s artifact library for constructing data-Faker

Installation

Basic usage

Common methods

Custom provider

Python's artifact library for constructing data-Faker