A tool to anonymize data within a CSV
Project description
Data Anonymizer
Data Anonymizer is a tool that helps you anonymize data you're working with and building reports on.
Installation
pip3 install --user data-anonymizer
*
* Needs Python 3 to run at the moment.
Usage
usage: data-anomymizer [-h] [--config CONFIG] [--delimiter DELIMITER]
[--generate-config] [--no-header] [--key-file KEY_FILE]
[--outfile OUTFILE]
file
positional arguments:
file File to anonymize
optional arguments:
-h, --help show this help message and exit
--config CONFIG, -c CONFIG
YAML config file (required) specifying how to
anonymize the data. Generate one with the --generate-
config flag
--delimiter DELIMITER, -d DELIMITER
Specify delimiter the CSV uses (defaults to ",")
--generate-config, -g
Generate config file based on CSV provided
--no-header Specify if a header is not present.
--key-file KEY_FILE Specify the file to get the key from.
--outfile OUTFILE, -o OUTFILE
Name/path of file to output (defaults to anonymized-
INFILE_NAME
How it works
This tool accepts three things:
- A key file
- If one is not supplied, the tool generates one and saves it to
anonymizer.key
or uses it if it is present in the current working directory
- If one is not supplied, the tool generates one and saves it to
- A config file (YAML)
- You can generate one for your data using
--generate-config
- You can generate one for your data using
- A data set to anonymize (only accepts CSV at the moment)
The config file should specify how to anonymize the data in each of the CSV's columns. It should look something like this:
delimiter: ','
columns_to_anonymize:
FirstName:
type: first_name
upper: true
SSN:
type: ssn
FullName:
type: custom_name
format: '$LAST, $FIRST $MI'
DOB:
type: datetime
format: '%Y/%m/%d'
range_start_date: '2000/01/01'
range_end_date: '2010/01/01'
The config provides metadata on the kind of data within each column. In the example above, FirstName, SSN, FullName, and DOB are the literal column headers in the CSV.
The type
attribute in the config refers to different defined field types that data-anonymizer recognizes. All defined field types are listed below.
Generating anonymous values (and maintaining referential integrity)
data-anonymizer
generates anonymous values using the faker library.
It's able to preserve the shape of the data and its referential integrity because of how it generates those values. It generates them like so:
- For every value in the data set:
- Concatenate value to provided key (in key file)
- Hash newly concatenated value
- Seed
faker
's random generator with the hash - Generate value for column
This means that for a given provided key, the same value will always be converted to the same anonymous value.
Say for instance that you are anonymizing sensitive-file-A.csv
with the key my-cool-key-1234
.
A value of Robert California
in that file is anonymized to John Smith
.
If you then anonymize sensitive-file-B.csv
, and it contains a record with the value Robert California
, as long as you use the same key, that record will also be anonymized to John Smith
.
Because of this, the shape of the data is preserved, and any columns that contain things that are referenced in related tables are anonymized to the same value in those tables. This preserves referential integrity.
Configuration Column Types
These are the different available types and the different attributes each recognizes. Each column type that produces output containing or potentially containing alphabetical characters also accepts the following attributes:
upper
- Set to
true
to uppercase the generated value for a given column
- Set to
lower
- Set to
true
to lowercase the generated value for a given column
- Set to
city
Generates a random real-sounding city using faker
's city provider.
custom
Generate a string with a custom format. This uses faker
's syntax for its bothify
provider, which converts certain symbols into random letters or numbers, depending on the symbol.
Special Attributes
format
Here are the special symbols the format attribute recognizes:
- '?' : Generates a random alphabetical character
- '#' : Generates a random number between 0 and 9
- '%' : Generates a random number between 1 and 9
- '!' : Generates a random number between 0 and 9 or an empty string
- '@' : Generates a random number between 1 and 9 or an empty string
Example configuration:
ID:
type: custom
format: 'ID-??-##-%'
Could yield ID-dF-03-5
custom_address
Generate address using custom format
option
Special Attributes
format
The format attribute for this type accepts special keywords and replaces them with generated values. It also accepts any of the special symbols the custom
column configuration accepts.
The special symbols the custom_address
format
attribute recognizes are the following:
$STREET
: Generates a real-sounding street address (number + street name)$CITY
: Generates a real-sounding city name$ZIP
: Generates a valid zip code$STATE_ABBR
- Selects a random abbreviated state among the 50 US states.$STATE_FULL
- Selects a random spelled-out state among the 50 US states.
Note: if the format
attribute is omitted, a full address is generated, including street, city, state, and zip.
Example configuration:
HomeAddress:
type: custom_address
format: '$STREET, $CITY, blah $STATE_ABBR #?'
Could yield 2073 David Square, Nixonburgh, blah AL 5g
custom_name
Generate name using custom format
option.
Special Attributes
format
The format attribute for this type accepts special keywords and replaces them with generated values. It also accepts any of the special symbols the custom
column configuration accepts.
The special symbols the custom_name
format
attribute recognizes are the following:
$FIRST
: Generates a real-sounding first name$LAST
: Generates a real-sounding last name$MI
: Generates an upper-cased initial
Note: if the format
attribute is omitted, a full name is generated of form $FIRST $LAST
Example configuration:
FullName:
type: custom_name
format: '$LAST, $FIRST $MI'
Could yield Obrien, Michael F
datetime
Generate a datetime between two dates with a custom datetime format.
Special Attributes
format
- Desired format of the generated value (using Python datetime strptime syntax)
- Required
range_start_date
- Desired start date in the range of dates to generate
- Must be written according to the format specified in
format
- Defaults to: 1800/01/01
range_end_date
- Desired end date in the range of dates to generate
- Must be written according to the format specified in
format
- Defaults to: 2018/01/01
Example configuration:
DOB:
type: datetime
format: '%Y/%m/%d'
range_start_date: '1950/01/01'
range_end_date: '2019/01/01'
Could yield 1976/04/23
first_name
Generates a real-sounding first name using faker
's first_name provider.
float_range
Generate a float between two numbers.
Special Attributes
start
- Desired start value
- Required
end
- Desired end value
- Required
precision
- Number of digits to round to
Example configuration:
Cost:
type: float_range
start: 1
end: 100
precision: 2
Could yield 54.56
full_address
Generates a real-sounding full address.
full_name
Generates a real-sounding full name.
int_range
Generate an integer between two numbers.
Special Attributes
start
- Desired start value
- Required
end
- Desired end value
- Required
Example configuration:
Total:
type: int_range
start: 0
end: 1000
Could yield 435
last_name
Generates a real-sounding last name.
options
Selects a value from a defined list of options.
Special Attributes
options
- A list of valid options to choose from.
- Required
Example configuration:
Sex:
type: options
options:
- MALE
- FEMALE
- UNKNOWN
Could yield FEMALE
ssn
Generate an SSN of form ###-##-####
.
street_address
Generate a real-sounding street address.
zip
Generate a valid-looking ZIP code.
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