Increase the likelihood of a PERSON_NAME match if there is the hotword "patient" nearby. Illustrates using the InspectConfig property for the purpose of scanning a medical database for patient names. You can use Cloud DLP's built-in PERSON_NAME infoType detector, but that causes Cloud DLP to match on all names of people, not just names of patients. To fix this, you can include a hotword rule that looks for the word "patient" within a certain character proximity from the first character of potential matches. You can then assign findings that match this pattern a likelihood of "very likely," since they correspond to your special criteria. Setting the minimum likelihood to VERY_LIKELY within InspectConfig ensures that only matches to this configuration are returned in findings.
Explore further
For detailed documentation that includes this code sample, see the following:
Code sample
C#
To learn how to install and use the client library for Sensitive Data Protection, see Sensitive Data Protection client libraries .
To authenticate to Sensitive Data Protection, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .
using
Google.Api.Gax.ResourceNames
;
using
Google.Cloud.Dlp.V2
;
using
System
;
using
static
Google
.
Cloud
.
Dlp
.
V2
.
CustomInfoType
.
Types
;
public
class
InspectStringCustomHotword
{
public
static
InspectContentResponse
Inspect
(
string
projectId
,
string
textToInspect
,
string
customHotword
)
{
var
dlp
=
DlpServiceClient
.
Create
();
var
byteContentItem
=
new
ByteContentItem
{
Type
=
ByteContentItem
.
Types
.
BytesType
.
TextUtf8
,
Data
=
Google
.
Protobuf
.
ByteString
.
CopyFromUtf8
(
textToInspect
)
};
var
contentItem
=
new
ContentItem
{
ByteItem
=
byteContentItem
};
var
hotwordRule
=
new
DetectionRule
.
Types
.
HotwordRule
{
HotwordRegex
=
new
Regex
{
Pattern
=
customHotword
},
Proximity
=
new
DetectionRule
.
Types
.
Proximity
{
WindowBefore
=
50
},
LikelihoodAdjustment
=
new
DetectionRule
.
Types
.
LikelihoodAdjustment
{
FixedLikelihood
=
Likelihood
.
VeryLikely
}
};
var
infoType
=
new
InfoType
{
Name
=
"PERSON_NAME"
};
var
inspectionRuleSet
=
new
InspectionRuleSet
{
InfoTypes
=
{
infoType
},
Rules
=
{
new
InspectionRule
{
HotwordRule
=
hotwordRule
}
}
};
var
inspectConfig
=
new
InspectConfig
{
InfoTypes
=
{
infoType
},
IncludeQuote
=
true
,
RuleSet
=
{
inspectionRuleSet
},
MinLikelihood
=
Likelihood
.
VeryLikely
};
var
request
=
new
InspectContentRequest
{
Parent
=
new
LocationName
(
projectId
,
"global"
).
ToString
(),
Item
=
contentItem
,
InspectConfig
=
inspectConfig
};
var
response
=
dlp
.
InspectContent
(
request
);
Console
.
WriteLine
(
$"Findings: {response.Result.Findings.Count}"
);
foreach
(
var
f
in
response
.
Result
.
Findings
)
{
Console
.
WriteLine
(
"\tQuote: "
+
f
.
Quote
);
Console
.
WriteLine
(
"\tInfo type: "
+
f
.
InfoType
.
Name
);
Console
.
WriteLine
(
"\tLikelihood: "
+
f
.
Likelihood
);
}
return
response
;
}
}
Go
To learn how to install and use the client library for Sensitive Data Protection, see Sensitive Data Protection client libraries .
To authenticate to Sensitive Data Protection, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .
import
(
"context"
"fmt"
"io"
dlp
"cloud.google.com/go/dlp/apiv2"
"cloud.google.com/go/dlp/apiv2/dlppb"
)
// inspectStringCustomHotWord inspects a string from sensitive data by using a custom hot word
func
inspectStringCustomHotWord
(
w
io
.
Writer
,
projectID
,
textToInspect
,
customHotWord
,
infoTypeName
string
)
error
{
// projectID := "my-project-id"
// textToInspect := "patient name: John Doe"
// customHotWord := "patient"
// infoTypeName := "PERSON_NAME"
ctx
:=
context
.
Background
()
// Initialize a client once and reuse it to send multiple requests. Clients
// are safe to use across goroutines. When the client is no longer needed,
// call the Close method to cleanup its resources.
client
,
err
:=
dlp
.
NewClient
(
ctx
)
if
err
!=
nil
{
return
err
}
// Closing the client safely cleans up background resources.
defer
client
.
Close
()
// Specify the type and content to be inspected.
contentItem
:=
& dlppb
.
ContentItem
{
DataItem
:
& dlppb
.
ContentItem_ByteItem
{
ByteItem
:
& dlppb
.
ByteContentItem
{
Type
:
dlppb
.
ByteContentItem_TEXT_UTF8
,
Data
:
[]
byte
(
textToInspect
),
},
},
}
// Increase likelihood of matches that have customHotword nearby
hotwordRule
:=
& dlppb
.
InspectionRule_HotwordRule
{
HotwordRule
:
& dlppb
.
CustomInfoType_DetectionRule_HotwordRule
{
HotwordRegex
:
& dlppb
.
CustomInfoType_Regex
{
Pattern
:
customHotWord
,
},
Proximity
:
& dlppb
.
CustomInfoType_DetectionRule_Proximity
{
WindowBefore
:
50
,
},
LikelihoodAdjustment
:
& dlppb
.
CustomInfoType_DetectionRule_LikelihoodAdjustment
{
Adjustment
:
& dlppb
.
CustomInfoType_DetectionRule_LikelihoodAdjustment_FixedLikelihood
{
FixedLikelihood
:
dlppb
.
Likelihood_VERY_LIKELY
,
},
},
},
}
// Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
ruleSet
:=
& dlppb
.
InspectionRuleSet
{
InfoTypes
:
[]
*
dlppb
.
InfoType
{
{
Name
:
infoTypeName
},
//"PERSON_NAME"
},
Rules
:
[]
*
dlppb
.
InspectionRule
{
{
Type
:
& dlppb
.
InspectionRule_HotwordRule
{
HotwordRule
:
hotwordRule
.
HotwordRule
,
},
},
},
}
// Construct the Inspect request to be sent by the client.
req
:=
& dlppb
.
InspectContentRequest
{
Parent
:
fmt
.
Sprintf
(
"projects/%s/locations/global"
,
projectID
),
Item
:
contentItem
,
InspectConfig
:
& dlppb
.
InspectConfig
{
InfoTypes
:
[]
*
dlppb
.
InfoType
{
{
Name
:
infoTypeName
},
//"PERSON_NAME"
},
IncludeQuote
:
true
,
MinLikelihood
:
dlppb
.
Likelihood_VERY_LIKELY
,
RuleSet
:
[]
*
dlppb
.
InspectionRuleSet
{
ruleSet
,
},
},
}
// Send the request.
resp
,
err
:=
client
.
InspectContent
(
ctx
,
req
)
if
err
!=
nil
{
return
err
}
// Parse the response and process results
fmt
.
Fprintf
(
w
,
"Findings: %v\n"
,
len
(
resp
.
Result
.
Findings
))
for
_
,
v
:=
range
resp
.
GetResult
().
Findings
{
fmt
.
Fprintf
(
w
,
"Quote: %v\n"
,
v
.
GetQuote
())
fmt
.
Fprintf
(
w
,
"Infotype Name: %v\n"
,
v
.
GetInfoType
().
GetName
())
fmt
.
Fprintf
(
w
,
"Likelihood: %v\n"
,
v
.
GetLikelihood
())
}
return
nil
}
Java
To learn how to install and use the client library for Sensitive Data Protection, see Sensitive Data Protection client libraries .
To authenticate to Sensitive Data Protection, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .
import
com.google.cloud.dlp.v2. DlpServiceClient
;
import
com.google.privacy.dlp.v2. ByteContentItem
;
import
com.google.privacy.dlp.v2. ByteContentItem
. BytesType
;
import
com.google.privacy.dlp.v2. ContentItem
;
import
com.google.privacy.dlp.v2. CustomInfoType
. DetectionRule
. HotwordRule
;
import
com.google.privacy.dlp.v2. CustomInfoType
. DetectionRule
. LikelihoodAdjustment
;
import
com.google.privacy.dlp.v2. CustomInfoType
. DetectionRule
. Proximity
;
import
com.google.privacy.dlp.v2. CustomInfoType
. Regex
;
import
com.google.privacy.dlp.v2. Finding
;
import
com.google.privacy.dlp.v2. InfoType
;
import
com.google.privacy.dlp.v2. InspectConfig
;
import
com.google.privacy.dlp.v2. InspectContentRequest
;
import
com.google.privacy.dlp.v2. InspectContentResponse
;
import
com.google.privacy.dlp.v2. InspectionRule
;
import
com.google.privacy.dlp.v2. InspectionRuleSet
;
import
com.google.privacy.dlp.v2. Likelihood
;
import
com.google.privacy.dlp.v2. LocationName
;
import
com.google.protobuf. ByteString
;
import
java.io.IOException
;
public
class
InspectStringCustomHotword
{
public
static
void
main
(
String
[]
args
)
throws
Exception
{
// TODO(developer): Replace these variables before running the sample.
String
projectId
=
"your-project-id"
;
String
textToInspect
=
"patient name: John Doe"
;
String
customHotword
=
"patient"
;
inspectStringCustomHotword
(
projectId
,
textToInspect
,
customHotword
);
}
// Inspects the provided text.
public
static
void
inspectStringCustomHotword
(
String
projectId
,
String
textToInspect
,
String
customHotword
)
throws
IOException
{
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try
(
DlpServiceClient
dlp
=
DlpServiceClient
.
create
())
{
// Specify the type and content to be inspected.
ByteContentItem
byteItem
=
ByteContentItem
.
newBuilder
()
.
setType
(
BytesType
.
TEXT_UTF8
)
.
setData
(
ByteString
.
copyFromUtf8
(
textToInspect
))
.
build
();
ContentItem
item
=
ContentItem
.
newBuilder
().
setByteItem
(
byteItem
).
build
();
// Increase likelihood of matches that have customHotword nearby
HotwordRule
hotwordRule
=
HotwordRule
.
newBuilder
()
.
setHotwordRegex
(
Regex
.
newBuilder
().
setPattern
(
customHotword
))
.
setProximity
(
Proximity
.
newBuilder
().
setWindowBefore
(
50
))
.
setLikelihoodAdjustment
(
LikelihoodAdjustment
.
newBuilder
().
setFixedLikelihood
(
Likelihood
.
VERY_LIKELY
))
.
build
();
// Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
InspectionRuleSet
ruleSet
=
InspectionRuleSet
.
newBuilder
()
.
addInfoTypes
(
InfoType
.
newBuilder
().
setName
(
"PERSON_NAME"
).
build
())
.
addRules
(
InspectionRule
.
newBuilder
().
setHotwordRule
(
hotwordRule
))
.
build
();
// Construct the configuration for the Inspect request.
InspectConfig
config
=
InspectConfig
.
newBuilder
()
.
addInfoTypes
(
InfoType
.
newBuilder
().
setName
(
"PERSON_NAME"
).
build
())
.
setIncludeQuote
(
true
)
.
addRuleSet
(
ruleSet
)
.
setMinLikelihood
(
Likelihood
.
VERY_LIKELY
)
.
build
();
// Construct the Inspect request to be sent by the client.
InspectContentRequest
request
=
InspectContentRequest
.
newBuilder
()
.
setParent
(
LocationName
.
of
(
projectId
,
"global"
).
toString
())
.
setItem
(
item
)
.
setInspectConfig
(
config
)
.
build
();
// Use the client to send the API request.
InspectContentResponse
response
=
dlp
.
inspectContent
(
request
);
// Parse the response and process results
System
.
out
.
println
(
"Findings: "
+
response
.
getResult
().
getFindingsCount
());
for
(
Finding
f
:
response
.
getResult
().
getFindingsList
())
{
System
.
out
.
println
(
"\tQuote: "
+
f
.
getQuote
());
System
.
out
.
println
(
"\tInfo type: "
+
f
.
getInfoType
().
getName
());
System
.
out
.
println
(
"\tLikelihood: "
+
f
.
getLikelihood
());
}
}
}
}
Node.js
To learn how to install and use the client library for Sensitive Data Protection, see Sensitive Data Protection client libraries .
To authenticate to Sensitive Data Protection, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .
// Imports the Google Cloud Data Loss Prevention library
const
DLP
=
require
(
' @google-cloud/dlp
'
);
// Instantiates a client
const
dlp
=
new
DLP
.
DlpServiceClient
();
// The project ID to run the API call under
// const projectId = 'my-project';
// The string to inspect
// const string = 'patient name: John Doe';
// Custom hotward
// const customHotword = 'patient';
async
function
inspectStringCustomHotword
()
{
// Specify the type and content to be inspected.
const
item
=
{
byteItem
:
{
type
:
DLP
.
protos
.
google
.
privacy
.
dlp
.
v2
.
ByteContentItem
.
BytesType
.
TEXT_UTF8
,
data
:
Buffer
.
from
(
string
,
'utf-8'
),
},
};
// Increase likelihood of matches that have customHotword nearby.
const
hotwordRule
=
{
hotwordRegex
:
{
pattern
:
customHotword
,
},
proximity
:
{
windowBefore
:
50
,
},
likelihoodAdjustment
:
{
fixedLikelihood
:
DLP
.
protos
.
google
.
privacy
.
dlp
.
v2
.
Likelihood
.
VERY_LIKELY
,
},
};
// Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
const
ruleSet
=
[
{
infoTypes
:
[{
name
:
'PERSON_NAME'
}],
rules
:
[
{
hotwordRule
:
hotwordRule
,
},
],
},
];
// Construct the configuration for the Inspect request.
const
inspectConfig
=
{
infoTypes
:
[{
name
:
'PERSON_NAME'
}],
ruleSet
:
ruleSet
,
includeQuote
:
true
,
};
// Construct the Inspect request to be sent by the client.
const
request
=
{
parent
:
`projects/
${
projectId
}
/locations/global`
,
inspectConfig
:
inspectConfig
,
item
:
item
,
};
// Use the client to send the API request.
const
[
response
]
=
await
dlp
.
inspectContent
(
request
);
// Print findings.
const
findings
=
response
.
result
.
findings
;
if
(
findings
.
length
>
0
)
{
console
.
log
(
`Findings:
${
findings
.
length
}
\n`
);
findings
.
forEach
(
finding
=
>
{
console
.
log
(
`InfoType:
${
finding
.
infoType
.
name
}
`
);
console
.
log
(
`\tQuote:
${
finding
.
quote
}
`
);
console
.
log
(
`\tLikelihood:
${
finding
.
likelihood
}
\n`
);
});
}
else
{
console
.
log
(
'No findings.'
);
}
}
inspectStringCustomHotword
();
PHP
To learn how to install and use the client library for Sensitive Data Protection, see Sensitive Data Protection client libraries .
To authenticate to Sensitive Data Protection, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\HotwordRule;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\LikelihoodAdjustment;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\Proximity;
use Google\Cloud\Dlp\V2\CustomInfoType\Regex;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
/**
* Inspect a string from sensitive data by using a custom hotword
* Increase the likelihood of a PERSON_NAME match if there is the hotword "patient" nearby. Illustrates using the InspectConfig property for the purpose of scanning a medical database for patient names. You can use Cloud DLP's built-in PERSON_NAME infoType detector, but that causes Cloud DLP to match on all names of people, not just names of patients. To fix this, you can include a hotword rule that looks for the word "patient" within a certain character proximity from the first character of potential matches. You can then assign findings that match this pattern a likelihood of "very likely," since they correspond to your special criteria. Setting the minimum likelihood to VERY_LIKELY within InspectConfig ensures that only matches to this configuration are returned in findings.
*
* @param string $projectId The Google Cloud project id to use as a parent resource.
* @param string $textToInspect The string to inspect.
*/
function inspect_string_custom_hotword(
// TODO(developer): Replace sample parameters before running the code.
string $projectId,
string $textToInspect = 'patient name: John Doe'
): void {
// Instantiate a client.
$dlp = new DlpServiceClient();
$parent = "projects/$projectId/locations/global";
// Specify what content you want the service to Inspect.
$item = (new ContentItem())
->setValue($textToInspect);
// Construct hotword rules
$hotwordRule = (new HotwordRule())
->setHotwordRegex(
(new Regex())
->setPattern('patient')
)
->setProximity(
(new Proximity())
->setWindowBefore(50)
)
->setLikelihoodAdjustment(
(new LikelihoodAdjustment())
->setFixedLikelihood(Likelihood::VERY_LIKELY)
);
// Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
$personName = (new InfoType())
->setName('PERSON_NAME');
$inspectionRuleSet = (new InspectionRuleSet())
->setInfoTypes([$personName])
->setRules([
(new InspectionRule())
->setHotwordRule($hotwordRule),
]);
// Construct the configuration for the Inspect request, including the ruleset.
$inspectConfig = (new InspectConfig())
->setInfoTypes([$personName])
->setIncludeQuote(true)
->setRuleSet([$inspectionRuleSet])
->setMinLikelihood(Likelihood::VERY_LIKELY);
// Run request
$inspectContentRequest = (new InspectContentRequest())
->setParent($parent)
->setInspectConfig($inspectConfig)
->setItem($item);
$response = $dlp->inspectContent($inspectContentRequest);
// Print the results
$findings = $response->getResult()->getFindings();
if (count($findings) == 0) {
printf('No findings.' . PHP_EOL);
} else {
printf('Findings:' . PHP_EOL);
foreach ($findings as $finding) {
printf(' Quote: %s' . PHP_EOL, $finding->getQuote());
printf(' Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
printf(' Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
}
}
}
Python
To learn how to install and use the client library for Sensitive Data Protection, see Sensitive Data Protection client libraries .
To authenticate to Sensitive Data Protection, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .
import
google.cloud.dlp
def
inspect_string_w_custom_hotword
(
project
:
str
,
content_string
:
str
,
custom_hotword
:
str
=
"patient"
)
-
> None
:
"""Uses the Data Loss Prevention API increase likelihood for matches on
PERSON_NAME if the user specified custom hot-word is present. Only
includes findings with the increased likelihood by setting a minimum
likelihood threshold of VERY_LIKELY.
Args:
project: The Google Cloud project id to use as a parent resource.
content_string: The string to inspect.
custom_hotword: The custom hot-word used for likelihood boosting.
"""
# Instantiate a client.
dlp
=
google
.
cloud
.
dlp_v2
.
DlpServiceClient
()
# Construct a rule set with caller provided hotword, with a likelihood
# boost to VERY_LIKELY when the hotword are present within the 50 character-
# window preceding the PII finding.
hotword_rule
=
{
"hotword_regex"
:
{
"pattern"
:
custom_hotword
},
"likelihood_adjustment"
:
{
"fixed_likelihood"
:
google
.
cloud
.
dlp_v2
.
Likelihood
.
VERY_LIKELY
},
"proximity"
:
{
"window_before"
:
50
},
}
rule_set
=
[
{
"info_types"
:
[{
"name"
:
"PERSON_NAME"
}],
"rules"
:
[{
"hotword_rule"
:
hotword_rule
}],
}
]
# Construct the configuration dictionary with the custom regex info type.
inspect_config
=
{
"rule_set"
:
rule_set
,
"min_likelihood"
:
google
.
cloud
.
dlp_v2
.
Likelihood
.
VERY_LIKELY
,
"include_quote"
:
True
,
}
# Construct the `item`.
item
=
{
"value"
:
content_string
}
# Convert the project id into a full resource id.
parent
=
f
"projects/
{
project
}
"
# Call the API.
response
=
dlp
.
inspect_content
(
request
=
{
"parent"
:
parent
,
"inspect_config"
:
inspect_config
,
"item"
:
item
}
)
# Print out the results.
if
response
.
result
.
findings
:
for
finding
in
response
.
result
.
findings
:
print
(
f
"Quote:
{
finding
.
quote
}
"
)
print
(
f
"Info type:
{
finding
.
info_type
.
name
}
"
)
print
(
f
"Likelihood:
{
finding
.
likelihood
}
"
)
else
:
print
(
"No findings."
)
What's next
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