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# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Uses of the Data Loss Prevention API for deidentifying sensitive data."""
from __future__ import print_function
import argparse
# [START dlp_deidentify_masking]
def deidentify_with_mask(
project, input_str, info_types, masking_character=None, number_to_mask=0
):
"""Uses the Data Loss Prevention API to deidentify sensitive data in a
string by masking it with a character.
Args:
project: The Google Cloud project id to use as a parent resource.
input_str: The string to deidentify (will be treated as text).
masking_character: The character to mask matching sensitive data with.
number_to_mask: The maximum number of sensitive characters to mask in
a match. If omitted or set to zero, the API will default to no
maximum.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# Construct inspect configuration dictionary
inspect_config = {
"info_types": [{"name": info_type} for info_type in info_types]
}
# Construct deidentify configuration dictionary
deidentify_config = {
"info_type_transformations": {
"transformations": [
{
"primitive_transformation": {
"character_mask_config": {
"masking_character": masking_character,
"number_to_mask": number_to_mask,
}
}
}
]
}
}
# Construct item
item = {"value": input_str}
# Call the API
response = dlp.deidentify_content(
parent,
inspect_config=inspect_config,
deidentify_config=deidentify_config,
item=item,
)
# Print out the results.
print(response.item.value)
# [END dlp_deidentify_masking]
# [START dlp_deidentify_redact]
def deidentify_with_redact(
project,
input_str,
info_types,
):
"""Uses the Data Loss Prevention API to deidentify sensitive data in a
string by redacting matched input values.
Args:
project: The Google Cloud project id to use as a parent resource.
input_str: The string to deidentify (will be treated as text).
info_types: A list of strings representing info types to look for.
Returns:
None; the response from the API is printed to the terminal.
"""
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# Construct inspect configuration dictionary
inspect_config = {
"info_types": [{"name": info_type} for info_type in info_types]
}
# Construct deidentify configuration dictionary
deidentify_config = {
"info_type_transformations": {
"transformations": [
{
"primitive_transformation": {
"redact_config": {}
}
}
]
}
}
# Construct item
item = {"value": input_str}
# Call the API
response = dlp.deidentify_content(
parent,
inspect_config=inspect_config,
deidentify_config=deidentify_config,
item=item,
)
# Print out the results.
print(response.item.value)
# [END dlp_deidentify_redact]
# [START dlp_deidentify_replace]
def deidentify_with_replace(
project,
input_str,
info_types,
replacement_str="REPLACEMENT_STR",
):
"""Uses the Data Loss Prevention API to deidentify sensitive data in a
string by replacing matched input values with a value you specify.
Args:
project: The Google Cloud project id to use as a parent resource.
input_str: The string to deidentify (will be treated as text).
info_types: A list of strings representing info types to look for.
replacement_str: The string to replace all values that match given
info types.
Returns:
None; the response from the API is printed to the terminal.
"""
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# Construct inspect configuration dictionary
inspect_config = {
"info_types": [{"name": info_type} for info_type in info_types]
}
# Construct deidentify configuration dictionary
deidentify_config = {
"info_type_transformations": {
"transformations": [
{
"primitive_transformation": {
"replace_config": {
"new_value": {
"string_value": replacement_str,
}
}
}
}
]
}
}
# Construct item
item = {"value": input_str}
# Call the API
response = dlp.deidentify_content(
parent,
inspect_config=inspect_config,
deidentify_config=deidentify_config,
item=item,
)
# Print out the results.
print(response.item.value)
# [END dlp_deidentify_replace]
# [START dlp_deidentify_fpe]
def deidentify_with_fpe(
project,
input_str,
info_types,
alphabet=None,
surrogate_type=None,
key_name=None,
wrapped_key=None,
):
"""Uses the Data Loss Prevention API to deidentify sensitive data in a
string using Format Preserving Encryption (FPE).
Args:
project: The Google Cloud project id to use as a parent resource.
input_str: The string to deidentify (will be treated as text).
alphabet: The set of characters to replace sensitive ones with. For
more information, see https://cloud.google.com/dlp/docs/reference/
rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
surrogate_type: The name of the surrogate custom info type to use. Only
necessary if you want to reverse the deidentification process. Can
be essentially any arbitrary string, as long as it doesn't appear
in your dataset otherwise.
key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
AES-256 key. Example:
key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
should be encrypted using the Cloud KMS key specified by key_name.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# The wrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
import base64
wrapped_key = base64.b64decode(wrapped_key)
# Construct FPE configuration dictionary
crypto_replace_ffx_fpe_config = {
"crypto_key": {
"kms_wrapped": {
"wrapped_key": wrapped_key,
"crypto_key_name": key_name,
}
},
"common_alphabet": alphabet,
}
# Add surrogate type
if surrogate_type:
crypto_replace_ffx_fpe_config["surrogate_info_type"] = {
"name": surrogate_type
}
# Construct inspect configuration dictionary
inspect_config = {
"info_types": [{"name": info_type} for info_type in info_types]
}
# Construct deidentify configuration dictionary
deidentify_config = {
"info_type_transformations": {
"transformations": [
{
"primitive_transformation": {
"crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config
}
}
]
}
}
# Convert string to item
item = {"value": input_str}
# Call the API
response = dlp.deidentify_content(
parent,
inspect_config=inspect_config,
deidentify_config=deidentify_config,
item=item,
)
# Print results
print(response.item.value)
# [END dlp_deidentify_fpe]
# [START dlp_reidentify_fpe]
def reidentify_with_fpe(
project,
input_str,
alphabet=None,
surrogate_type=None,
key_name=None,
wrapped_key=None,
):
"""Uses the Data Loss Prevention API to reidentify sensitive data in a
string that was encrypted by Format Preserving Encryption (FPE).
Args:
project: The Google Cloud project id to use as a parent resource.
input_str: The string to deidentify (will be treated as text).
alphabet: The set of characters to replace sensitive ones with. For
more information, see https://cloud.google.com/dlp/docs/reference/
rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
surrogate_type: The name of the surrogate custom info type to used
during the encryption process.
key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
AES-256 key. Example:
keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
should be encrypted using the Cloud KMS key specified by key_name.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# The wrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
import base64
wrapped_key = base64.b64decode(wrapped_key)
# Construct Deidentify Config
reidentify_config = {
"info_type_transformations": {
"transformations": [
{
"primitive_transformation": {
"crypto_replace_ffx_fpe_config": {
"crypto_key": {
"kms_wrapped": {
"wrapped_key": wrapped_key,
"crypto_key_name": key_name,
}
},
"common_alphabet": alphabet,
"surrogate_info_type": {"name": surrogate_type},
}
}
}
]
}
}
inspect_config = {
"custom_info_types": [
{"info_type": {"name": surrogate_type}, "surrogate_type": {}}
]
}
# Convert string to item
item = {"value": input_str}
# Call the API
response = dlp.reidentify_content(
parent,
inspect_config=inspect_config,
reidentify_config=reidentify_config,
item=item,
)
# Print results
print(response.item.value)
# [END dlp_reidentify_fpe]
# [START dlp_deidentify_free_text_with_fpe_using_surrogate]
def deidentify_free_text_with_fpe_using_surrogate(
project,
input_str,
alphabet="NUMERIC",
info_type="PHONE_NUMBER",
surrogate_type="PHONE_TOKEN",
unwrapped_key="YWJjZGVmZ2hpamtsbW5vcA==",
):
"""Uses the Data Loss Prevention API to deidentify sensitive data in a
string using Format Preserving Encryption (FPE).
The encryption is performed with an unwrapped key.
Args:
project: The Google Cloud project id to use as a parent resource.
input_str: The string to deidentify (will be treated as text).
alphabet: The set of characters to replace sensitive ones with. For
more information, see https://cloud.google.com/dlp/docs/reference/
rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
info_type: The name of the info type to de-identify
surrogate_type: The name of the surrogate custom info type to use. Can
be essentially any arbitrary string, as long as it doesn't appear
in your dataset otherwise.
unwrapped_key: The base64-encoded AES-256 key to use.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# The unwrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
import base64
unwrapped_key = base64.b64decode(unwrapped_key)
# Construct de-identify config
transformation = {
"info_types": [{"name": info_type}],
"primitive_transformation": {
"crypto_replace_ffx_fpe_config": {
"crypto_key": {
"unwrapped": {"key": unwrapped_key}
},
"common_alphabet": alphabet,
"surrogate_info_type": {"name": surrogate_type},
}
}
}
deidentify_config = {
"info_type_transformations": {
"transformations": [transformation]
}
}
# Construct the inspect config, trying to finding all PII with likelihood
# higher than UNLIKELY
inspect_config = {
"info_types": [{"name": info_type}],
"min_likelihood": "UNLIKELY"
}
# Convert string to item
item = {"value": input_str}
# Call the API
response = dlp.deidentify_content(
parent,
inspect_config=inspect_config,
deidentify_config=deidentify_config,
item=item,
)
# Print results
print(response.item.value)
# [END dlp_deidentify_free_text_with_fpe_using_surrogate]
# [START dlp_reidentify_free_text_with_fpe_using_surrogate]
def reidentify_free_text_with_fpe_using_surrogate(
project,
input_str,
alphabet="NUMERIC",
surrogate_type="PHONE_TOKEN",
unwrapped_key="YWJjZGVmZ2hpamtsbW5vcA==",
):
"""Uses the Data Loss Prevention API to reidentify sensitive data in a
string that was encrypted by Format Preserving Encryption (FPE) with
surrogate type. The encryption is performed with an unwrapped key.
Args:
project: The Google Cloud project id to use as a parent resource.
input_str: The string to deidentify (will be treated as text).
alphabet: The set of characters to replace sensitive ones with. For
more information, see https://cloud.google.com/dlp/docs/reference/
rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
surrogate_type: The name of the surrogate custom info type to used
during the encryption process.
unwrapped_key: The base64-encoded AES-256 key to use.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# The unwrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
import base64
unwrapped_key = base64.b64decode(unwrapped_key)
# Construct Deidentify Config
transformation = {
"primitive_transformation": {
"crypto_replace_ffx_fpe_config": {
"crypto_key": {
"unwrapped": {"key": unwrapped_key}
},
"common_alphabet": alphabet,
"surrogate_info_type": {"name": surrogate_type},
}
}
}
reidentify_config = {
"info_type_transformations": {
"transformations": [transformation]
}
}
inspect_config = {
"custom_info_types": [
{"info_type": {"name": surrogate_type}, "surrogate_type": {}}
]
}
# Convert string to item
item = {"value": input_str}
# Call the API
response = dlp.reidentify_content(
parent,
inspect_config=inspect_config,
reidentify_config=reidentify_config,
item=item,
)
# Print results
print(response.item.value)
# [END dlp_reidentify_free_text_with_fpe_using_surrogate]
# [START dlp_deidentify_date_shift]
def deidentify_with_date_shift(
project,
input_csv_file=None,
output_csv_file=None,
date_fields=None,
lower_bound_days=None,
upper_bound_days=None,
context_field_id=None,
wrapped_key=None,
key_name=None,
):
"""Uses the Data Loss Prevention API to deidentify dates in a CSV file by
pseudorandomly shifting them.
Args:
project: The Google Cloud project id to use as a parent resource.
input_csv_file: The path to the CSV file to deidentify. The first row
of the file must specify column names, and all other rows must
contain valid values.
output_csv_file: The path to save the date-shifted CSV file.
date_fields: The list of (date) fields in the CSV file to date shift.
Example: ['birth_date', 'register_date']
lower_bound_days: The maximum number of days to shift a date backward
upper_bound_days: The maximum number of days to shift a date forward
context_field_id: (Optional) The column to determine date shift amount
based on. If this is not specified, a random shift amount will be
used for every row. If this is specified, then 'wrappedKey' and
'keyName' must also be set. Example:
contextFieldId = [{ 'name': 'user_id' }]
key_name: (Optional) The name of the Cloud KMS key used to encrypt
('wrap') the AES-256 key. Example:
key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
wrapped_key: (Optional) The encrypted ('wrapped') AES-256 key to use.
This key should be encrypted using the Cloud KMS key specified by
key_name.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# Convert date field list to Protobuf type
def map_fields(field):
return {"name": field}
if date_fields:
date_fields = map(map_fields, date_fields)
else:
date_fields = []
# Read and parse the CSV file
import csv
from datetime import datetime
f = []
with open(input_csv_file, "r") as csvfile:
reader = csv.reader(csvfile)
for row in reader:
f.append(row)
# Helper function for converting CSV rows to Protobuf types
def map_headers(header):
return {"name": header}
def map_data(value):
try:
date = datetime.strptime(value, "%m/%d/%Y")
return {
"date_value": {
"year": date.year,
"month": date.month,
"day": date.day,
}
}
except ValueError:
return {"string_value": value}
def map_rows(row):
return {"values": map(map_data, row)}
# Using the helper functions, convert CSV rows to protobuf-compatible
# dictionaries.
csv_headers = map(map_headers, f[0])
csv_rows = map(map_rows, f[1:])
# Construct the table dict
table_item = {"table": {"headers": csv_headers, "rows": csv_rows}}
# Construct date shift config
date_shift_config = {
"lower_bound_days": lower_bound_days,
"upper_bound_days": upper_bound_days,
}
# If using a Cloud KMS key, add it to the date_shift_config.
# The wrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
if context_field_id and key_name and wrapped_key:
import base64
date_shift_config["context"] = {"name": context_field_id}
date_shift_config["crypto_key"] = {
"kms_wrapped": {
"wrapped_key": base64.b64decode(wrapped_key),
"crypto_key_name": key_name,
}
}
elif context_field_id or key_name or wrapped_key:
raise ValueError(
"""You must set either ALL or NONE of
[context_field_id, key_name, wrapped_key]!"""
)
# Construct Deidentify Config
deidentify_config = {
"record_transformations": {
"field_transformations": [
{
"fields": date_fields,
"primitive_transformation": {
"date_shift_config": date_shift_config
},
}
]
}
}
# Write to CSV helper methods
def write_header(header):
return header.name
def write_data(data):
return data.string_value or "%s/%s/%s" % (
data.date_value.month,
data.date_value.day,
data.date_value.year,
)
# Call the API
response = dlp.deidentify_content(
parent, deidentify_config=deidentify_config, item=table_item
)
# Write results to CSV file
with open(output_csv_file, "w") as csvfile:
write_file = csv.writer(csvfile, delimiter=",")
write_file.writerow(map(write_header, response.item.table.headers))
for row in response.item.table.rows:
write_file.writerow(map(write_data, row.values))
# Print status
print("Successfully saved date-shift output to {}".format(output_csv_file))
# [END dlp_deidentify_date_shift]
# [START dlp_deidentify_replace_infotype]
def deidentify_with_replace_infotype(project, item, info_types):
"""Uses the Data Loss Prevention API to deidentify sensitive data in a
string by replacing it with the info type.
Args:
project: The Google Cloud project id to use as a parent resource.
item: The string to deidentify (will be treated as text).
info_types: A list of strings representing info types to look for.
A full list of info type categories can be fetched from the API.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library
import google.cloud.dlp
# Instantiate a client
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# Construct inspect configuration dictionary
inspect_config = {
"info_types": [{"name": info_type} for info_type in info_types]
}
# Construct deidentify configuration dictionary
deidentify_config = {
"info_type_transformations": {
"transformations": [
{
"primitive_transformation": {
"replace_with_info_type_config": {}
}
}
]
}
}
# Call the API
response = dlp.deidentify_content(
parent,
inspect_config=inspect_config,
deidentify_config=deidentify_config,
item={"value": item},
)
# Print out the results.
print(response.item.value)
# [END dlp_deidentify_replace_infotype]
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
subparsers = parser.add_subparsers(
dest="content", help="Select how to submit content to the API."
)
subparsers.required = True
mask_parser = subparsers.add_parser(
"deid_mask",
help="Deidentify sensitive data in a string by masking it with a "
"character.",
)
mask_parser.add_argument(
"--info_types",
nargs="+",
help="Strings representing info types to look for. A full list of "
"info categories and types is available from the API. Examples "
'include "FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS". '
"If unspecified, the three above examples will be used.",
default=["FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS"],
)
mask_parser.add_argument(
"project",
help="The Google Cloud project id to use as a parent resource.",
)
mask_parser.add_argument("item", help="The string to deidentify.")
mask_parser.add_argument(
"-n",
"--number_to_mask",
type=int,
default=0,
help="The maximum number of sensitive characters to mask in a match. "
"If omitted the request or set to 0, the API will mask any mathcing "
"characters.",
)
mask_parser.add_argument(
"-m",
"--masking_character",
help="The character to mask matching sensitive data with.",
)
replace_parser = subparsers.add_parser(
"deid_replace",
help="Deidentify sensitive data in a string by replacing it with "
"another string.",
)
replace_parser.add_argument(
"--info_types",
nargs="+",
help="Strings representing info types to look for. A full list of "
"info categories and types is available from the API. Examples "
'include "FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS". '
"If unspecified, the three above examples will be used.",
default=["FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS"],
)
replace_parser.add_argument(
"project",
help="The Google Cloud project id to use as a parent resource.",
)
replace_parser.add_argument("item", help="The string to deidentify.")
replace_parser.add_argument("replacement_str", help="The string to "
"replace all matched values with.")
fpe_parser = subparsers.add_parser(
"deid_fpe",
help="Deidentify sensitive data in a string using Format Preserving "
"Encryption (FPE).",
)
fpe_parser.add_argument(
"--info_types",
action="append",
help="Strings representing info types to look for. A full list of "
"info categories and types is available from the API. Examples "
'include "FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS". '
"If unspecified, the three above examples will be used.",
default=["FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS"],
)
fpe_parser.add_argument(
"project",
help="The Google Cloud project id to use as a parent resource.",
)
fpe_parser.add_argument(
"item",
help="The string to deidentify. "
"Example: string = 'My SSN is 372819127'",
)
fpe_parser.add_argument(
"key_name",
help="The name of the Cloud KMS key used to encrypt ('wrap') the "
"AES-256 key. Example: "
"key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/"
"keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'",
)
fpe_parser.add_argument(
"wrapped_key",
help="The encrypted ('wrapped') AES-256 key to use. This key should "
"be encrypted using the Cloud KMS key specified by key_name.",
)
fpe_parser.add_argument(
"-a",
"--alphabet",
default="ALPHA_NUMERIC",
help="The set of characters to replace sensitive ones with. Commonly "
'used subsets of the alphabet include "NUMERIC", "HEXADECIMAL", '
'"UPPER_CASE_ALPHA_NUMERIC", "ALPHA_NUMERIC", '
'"FFX_COMMON_NATIVE_ALPHABET_UNSPECIFIED"',
)
fpe_parser.add_argument(
"-s",
"--surrogate_type",
help="The name of the surrogate custom info type to use. Only "
"necessary if you want to reverse the deidentification process. Can "
"be essentially any arbitrary string, as long as it doesn't appear "
"in your dataset otherwise.",
)
reid_parser = subparsers.add_parser(
"reid_fpe",
help="Reidentify sensitive data in a string using Format Preserving "
"Encryption (FPE).",
)
reid_parser.add_argument(
"project",
help="The Google Cloud project id to use as a parent resource.",
)
reid_parser.add_argument(
"item",
help="The string to deidentify. "
"Example: string = 'My SSN is 372819127'",
)
reid_parser.add_argument(
"surrogate_type",
help="The name of the surrogate custom info type to use. Only "
"necessary if you want to reverse the deidentification process. Can "
"be essentially any arbitrary string, as long as it doesn't appear "
"in your dataset otherwise.",
)
reid_parser.add_argument(
"key_name",
help="The name of the Cloud KMS key used to encrypt ('wrap') the "
"AES-256 key. Example: "
"key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/"
"keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'",
)
reid_parser.add_argument(
"wrapped_key",
help="The encrypted ('wrapped') AES-256 key to use. This key should "
"be encrypted using the Cloud KMS key specified by key_name.",
)
reid_parser.add_argument(
"-a",
"--alphabet",
default="ALPHA_NUMERIC",
help="The set of characters to replace sensitive ones with. Commonly "
'used subsets of the alphabet include "NUMERIC", "HEXADECIMAL", '
'"UPPER_CASE_ALPHA_NUMERIC", "ALPHA_NUMERIC", '
'"FFX_COMMON_NATIVE_ALPHABET_UNSPECIFIED"',
)
date_shift_parser = subparsers.add_parser(
"deid_date_shift",
help="Deidentify dates in a CSV file by pseudorandomly shifting them.",
)
date_shift_parser.add_argument(
"project",
help="The Google Cloud project id to use as a parent resource.",
)
date_shift_parser.add_argument(
"input_csv_file",
help="The path to the CSV file to deidentify. The first row of the "
"file must specify column names, and all other rows must contain "
"valid values.",
)
date_shift_parser.add_argument(
"output_csv_file", help="The path to save the date-shifted CSV file."
)
date_shift_parser.add_argument(
"lower_bound_days",
type=int,
help="The maximum number of days to shift a date backward",
)
date_shift_parser.add_argument(
"upper_bound_days",
type=int,
help="The maximum number of days to shift a date forward",
)
date_shift_parser.add_argument(
"date_fields",
nargs="+",
help="The list of date fields in the CSV file to date shift. Example: "
"['birth_date', 'register_date']",
)
date_shift_parser.add_argument(
"--context_field_id",
help="(Optional) The column to determine date shift amount based on. "
"If this is not specified, a random shift amount will be used for "
"every row. If this is specified, then 'wrappedKey' and 'keyName' "
"must also be set.",
)
date_shift_parser.add_argument(
"--key_name",
help="(Optional) The name of the Cloud KMS key used to encrypt "
"('wrap') the AES-256 key. Example: "
"key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/"
"keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'",
)
date_shift_parser.add_argument(
"--wrapped_key",
help="(Optional) The encrypted ('wrapped') AES-256 key to use. This "
"key should be encrypted using the Cloud KMS key specified by"
"key_name.",
)
replace_with_infotype_parser = subparsers.add_parser(
"replace_with_infotype",
help="Deidentify sensitive data in a string by replacing it with the "
"info type of the data."
)
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