검사 규칙 업데이트
PATCH
https://api.datadoghq.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.us3.datadoghq.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.us5.datadoghq.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.datadoghq.eu/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.ap1.datadoghq.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.ap2.datadoghq.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.uk1.datadoghq.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.ddog-gov.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}https://api.us2.ddog-gov.com/api/v2/sensitive-data-scanner/config/rules/{rule_id}개요
검사 규칙을 업데이트합니다. 요청 본문에는 standard_pattern 관계가 포함되면 안 됩니다. 이 관계는 편집할 수 없기 때문입니다. standard_pattern 관계가 있는 규칙의 정규식 속성을 편집하려고 하면 오류가 발생합니다.
인수
경로 파라미터
이름
유형
설명
rule_id [required]string
The ID of the rule.
요청
Body Data (required)
항목
유형
설명
data [required]object
규칙 업데이트 요청입니다.
attributesobject
Attributes of the Sensitive Data Scanner rule.
descriptionstring
Description of the rule.
excluded_namespaces[string]
Attributes excluded from the scan. If namespaces is provided, it has to be a sub-path of the namespaces array.
included_keyword_configurationobject
Object defining a set of keywords and a number of characters that help reduce noise. You can provide a list of keywords you would like to check within a defined proximity of the matching pattern. If any of the keywords are found within the proximity check, the match is kept. If none are found, the match is discarded.
character_count [required]int64
The number of characters behind a match detected by Sensitive Data Scanner to look for the keywords defined.
character_count should be greater than the maximum length of a keyword defined for a rule.
keywords [required][string]
Keyword list that will be checked during scanning in order to validate a match. The number of keywords in the list must be less than or equal to 30.
use_recommended_keywordsboolean
Should the rule use the underlying standard pattern keyword configuration. If set to true, the rule must be tied
to a standard pattern. If set to false, the specified keywords and character_count are applied.
is_enabledboolean
Whether or not the rule is enabled.
namestring
Name of the rule.
namespaces[string]
Attributes included in the scan. If namespaces is empty or missing, all attributes except excluded_namespaces are scanned. If both are missing the whole event is scanned.
patternstring
Not included if there is a relationship to a standard pattern.
priorityint64
Integer from 1 (high) to 5 (low) indicating rule issue severity.
suppressionsobject
Object describing suppressions for a rule, or the recommended suppression lists published by a standard pattern.
There are three types of suppressions, starts_with, ends_with, and exact_match.
Rules based on the Datadog library can use recommended or custom suppressions. Custom rules can only use custom suppressions.
Suppressed matches are not obfuscated, counted in metrics, or displayed in the Findings page.
ends_with[string]
List of strings to use for suppression of matches ending with these strings.
exact_match[string]
List of strings to use for suppression of matches exactly matching these strings.
starts_with[string]
List of strings to use for suppression of matches starting with these strings.
use_recommended_suppressionsboolean
Should the rule use the underlying standard pattern suppression configuration. If set to true, the rule must be tied
to a standard pattern. If set to false, the specified suppressions are applied.
tags[string]
List of tags.
text_replacementobject
Object describing how the scanned event will be replaced.
number_of_charsint64
Required if type == 'partial_replacement_from_beginning' or 'partial_replacement_from_end'. It must be > 0.
replacement_stringstring
Required if type == 'replacement_string'.
should_save_matchboolean
Only valid when type == replacement_string. When enabled, matches can be unmasked in logs by users with ‘Data Scanner Unmask’ permission. As a security best practice, avoid masking for highly-sensitive, long-lived data.
typeenum
Type of the replacement text. None means no replacement. hash means the data will be stubbed. replacement_string means that one can chose a text to replace the data. partial_replacement_from_beginning allows a user to partially replace the data from the beginning, and partial_replacement_from_end on the other hand, allows to replace data from the end.
noneAllowed enum values:
none, hash, replacement_string, partial_replacement_from_beginning, partial_replacement_from_endidstring
ID of the rule.
relationshipsobject
Relationships of a scanning rule.
groupobject
A scanning group data.
dataobject
A scanning group.
idstring
ID of the group.
typeenum
Sensitive Data Scanner group type.
sensitive_data_scanner_groupAllowed enum values:
sensitive_data_scanner_groupstandard_patternobject
A standard pattern.
dataobject
Data containing the standard pattern id.
idstring
ID of the standard pattern.
typeenum
Sensitive Data Scanner standard pattern type.
sensitive_data_scanner_standard_patternAllowed enum values:
sensitive_data_scanner_standard_patterntypeenum
Sensitive Data Scanner rule type.
sensitive_data_scanner_ruleAllowed enum values:
sensitive_data_scanner_rulemeta [required]object
Meta payload containing information about the API.
versionint64
Version of the API (optional).
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}응답
OK
Update rule response.
항목
유형
설명
metaobject
Meta payload containing information about the API.
versionint64
Version of the API (optional).
{
"meta": {
"version": 0
}
}Bad Request
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Authentication Error
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Not Found
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
Update Scanning Rule returns "OK" response
# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOF# Path parameters
export rule_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/sensitive-data-scanner/config/rules/${rule_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"meta": {},
"data": {
"id": "string",
"type": "sensitive_data_scanner_rule",
"attributes": {
"name": "Example-Sensitive-Data-Scanner",
"pattern": "pattern",
"text_replacement": {
"type": "none"
},
"tags": [
"sensitive_data:true"
],
"is_enabled": true,
"priority": 5,
"included_keyword_configuration": {
"keywords": [
"credit card",
"cc"
],
"character_count": 35
}
}
}
}
EOFUpdate Scanning Rule returns "OK" response
// Update Scanning Rule returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
// the "scanning_group" has a "scanning_rule"
RuleDataID := os.Getenv("RULE_DATA_ID")
body := datadogV2.SensitiveDataScannerRuleUpdateRequest{
Meta: datadogV2.SensitiveDataScannerMetaVersionOnly{},
Data: datadogV2.SensitiveDataScannerRuleUpdate{
Id: datadog.PtrString(RuleDataID),
Type: datadogV2.SENSITIVEDATASCANNERRULETYPE_SENSITIVE_DATA_SCANNER_RULE.Ptr(),
Attributes: &datadogV2.SensitiveDataScannerRuleAttributes{
Name: datadog.PtrString("Example-Sensitive-Data-Scanner"),
Pattern: datadog.PtrString("pattern"),
TextReplacement: &datadogV2.SensitiveDataScannerTextReplacement{
Type: datadogV2.SENSITIVEDATASCANNERTEXTREPLACEMENTTYPE_NONE.Ptr(),
},
Tags: []string{
"sensitive_data:true",
},
IsEnabled: datadog.PtrBool(true),
Priority: datadog.PtrInt64(5),
IncludedKeywordConfiguration: &datadogV2.SensitiveDataScannerIncludedKeywordConfiguration{
Keywords: []string{
"credit card",
"cc",
},
CharacterCount: 35,
},
},
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewSensitiveDataScannerApi(apiClient)
resp, r, err := api.UpdateScanningRule(ctx, RuleDataID, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `SensitiveDataScannerApi.UpdateScanningRule`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `SensitiveDataScannerApi.UpdateScanningRule`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"Update Scanning Rule returns "OK" response
// Update Scanning Rule returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SensitiveDataScannerApi;
import com.datadog.api.client.v2.model.SensitiveDataScannerIncludedKeywordConfiguration;
import com.datadog.api.client.v2.model.SensitiveDataScannerMetaVersionOnly;
import com.datadog.api.client.v2.model.SensitiveDataScannerRuleAttributes;
import com.datadog.api.client.v2.model.SensitiveDataScannerRuleType;
import com.datadog.api.client.v2.model.SensitiveDataScannerRuleUpdate;
import com.datadog.api.client.v2.model.SensitiveDataScannerRuleUpdateRequest;
import com.datadog.api.client.v2.model.SensitiveDataScannerRuleUpdateResponse;
import com.datadog.api.client.v2.model.SensitiveDataScannerTextReplacement;
import com.datadog.api.client.v2.model.SensitiveDataScannerTextReplacementType;
import java.util.Arrays;
import java.util.Collections;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
SensitiveDataScannerApi apiInstance = new SensitiveDataScannerApi(defaultClient);
// the "scanning_group" has a "scanning_rule"
String RULE_DATA_ID = System.getenv("RULE_DATA_ID");
SensitiveDataScannerRuleUpdateRequest body =
new SensitiveDataScannerRuleUpdateRequest()
.meta(new SensitiveDataScannerMetaVersionOnly())
.data(
new SensitiveDataScannerRuleUpdate()
.id(RULE_DATA_ID)
.type(SensitiveDataScannerRuleType.SENSITIVE_DATA_SCANNER_RULE)
.attributes(
new SensitiveDataScannerRuleAttributes()
.name("Example-Sensitive-Data-Scanner")
.pattern("pattern")
.textReplacement(
new SensitiveDataScannerTextReplacement()
.type(SensitiveDataScannerTextReplacementType.NONE))
.tags(Collections.singletonList("sensitive_data:true"))
.isEnabled(true)
.priority(5L)
.includedKeywordConfiguration(
new SensitiveDataScannerIncludedKeywordConfiguration()
.keywords(Arrays.asList("credit card", "cc"))
.characterCount(35L))));
try {
SensitiveDataScannerRuleUpdateResponse result =
apiInstance.updateScanningRule(RULE_DATA_ID, body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling SensitiveDataScannerApi#updateScanningRule");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Instructions
First install the library and its dependencies and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"Update Scanning Rule returns "OK" response
"""
Update Scanning Rule returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.sensitive_data_scanner_api import SensitiveDataScannerApi
from datadog_api_client.v2.model.sensitive_data_scanner_included_keyword_configuration import (
SensitiveDataScannerIncludedKeywordConfiguration,
)
from datadog_api_client.v2.model.sensitive_data_scanner_meta_version_only import SensitiveDataScannerMetaVersionOnly
from datadog_api_client.v2.model.sensitive_data_scanner_rule_attributes import SensitiveDataScannerRuleAttributes
from datadog_api_client.v2.model.sensitive_data_scanner_rule_type import SensitiveDataScannerRuleType
from datadog_api_client.v2.model.sensitive_data_scanner_rule_update import SensitiveDataScannerRuleUpdate
from datadog_api_client.v2.model.sensitive_data_scanner_rule_update_request import SensitiveDataScannerRuleUpdateRequest
from datadog_api_client.v2.model.sensitive_data_scanner_text_replacement import SensitiveDataScannerTextReplacement
from datadog_api_client.v2.model.sensitive_data_scanner_text_replacement_type import (
SensitiveDataScannerTextReplacementType,
)
# the "scanning_group" has a "scanning_rule"
RULE_DATA_ID = environ["RULE_DATA_ID"]
body = SensitiveDataScannerRuleUpdateRequest(
meta=SensitiveDataScannerMetaVersionOnly(),
data=SensitiveDataScannerRuleUpdate(
id=RULE_DATA_ID,
type=SensitiveDataScannerRuleType.SENSITIVE_DATA_SCANNER_RULE,
attributes=SensitiveDataScannerRuleAttributes(
name="Example-Sensitive-Data-Scanner",
pattern="pattern",
text_replacement=SensitiveDataScannerTextReplacement(
type=SensitiveDataScannerTextReplacementType.NONE,
),
tags=[
"sensitive_data:true",
],
is_enabled=True,
priority=5,
included_keyword_configuration=SensitiveDataScannerIncludedKeywordConfiguration(
keywords=[
"credit card",
"cc",
],
character_count=35,
),
),
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = SensitiveDataScannerApi(api_client)
response = api_instance.update_scanning_rule(rule_id=RULE_DATA_ID, body=body)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"Update Scanning Rule returns "OK" response
# Update Scanning Rule returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::SensitiveDataScannerAPI.new
# the "scanning_group" has a "scanning_rule"
RULE_DATA_ID = ENV["RULE_DATA_ID"]
body = DatadogAPIClient::V2::SensitiveDataScannerRuleUpdateRequest.new({
meta: DatadogAPIClient::V2::SensitiveDataScannerMetaVersionOnly.new({}),
data: DatadogAPIClient::V2::SensitiveDataScannerRuleUpdate.new({
id: RULE_DATA_ID,
type: DatadogAPIClient::V2::SensitiveDataScannerRuleType::SENSITIVE_DATA_SCANNER_RULE,
attributes: DatadogAPIClient::V2::SensitiveDataScannerRuleAttributes.new({
name: "Example-Sensitive-Data-Scanner",
pattern: "pattern",
text_replacement: DatadogAPIClient::V2::SensitiveDataScannerTextReplacement.new({
type: DatadogAPIClient::V2::SensitiveDataScannerTextReplacementType::NONE,
}),
tags: [
"sensitive_data:true",
],
is_enabled: true,
priority: 5,
included_keyword_configuration: DatadogAPIClient::V2::SensitiveDataScannerIncludedKeywordConfiguration.new({
keywords: [
"credit card",
"cc",
],
character_count: 35,
}),
}),
}),
})
p api_instance.update_scanning_rule(RULE_DATA_ID, body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"Update Scanning Rule returns "OK" response
// Update Scanning Rule returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_sensitive_data_scanner::SensitiveDataScannerAPI;
use datadog_api_client::datadogV2::model::SensitiveDataScannerIncludedKeywordConfiguration;
use datadog_api_client::datadogV2::model::SensitiveDataScannerMetaVersionOnly;
use datadog_api_client::datadogV2::model::SensitiveDataScannerRuleAttributes;
use datadog_api_client::datadogV2::model::SensitiveDataScannerRuleType;
use datadog_api_client::datadogV2::model::SensitiveDataScannerRuleUpdate;
use datadog_api_client::datadogV2::model::SensitiveDataScannerRuleUpdateRequest;
use datadog_api_client::datadogV2::model::SensitiveDataScannerTextReplacement;
use datadog_api_client::datadogV2::model::SensitiveDataScannerTextReplacementType;
#[tokio::main]
async fn main() {
// the "scanning_group" has a "scanning_rule"
let rule_data_id = std::env::var("RULE_DATA_ID").unwrap();
let body = SensitiveDataScannerRuleUpdateRequest::new(
SensitiveDataScannerRuleUpdate::new()
.attributes(
SensitiveDataScannerRuleAttributes::new()
.included_keyword_configuration(
SensitiveDataScannerIncludedKeywordConfiguration::new(
35,
vec!["credit card".to_string(), "cc".to_string()],
),
)
.is_enabled(true)
.name("Example-Sensitive-Data-Scanner".to_string())
.pattern("pattern".to_string())
.priority(5)
.tags(vec!["sensitive_data:true".to_string()])
.text_replacement(
SensitiveDataScannerTextReplacement::new()
.type_(SensitiveDataScannerTextReplacementType::NONE),
),
)
.id(rule_data_id.clone())
.type_(SensitiveDataScannerRuleType::SENSITIVE_DATA_SCANNER_RULE),
SensitiveDataScannerMetaVersionOnly::new(),
);
let configuration = datadog::Configuration::new();
let api = SensitiveDataScannerAPI::with_config(configuration);
let resp = api.update_scanning_rule(rule_data_id.clone(), body).await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runUpdate Scanning Rule returns "OK" response
/**
* Update Scanning Rule returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
const apiInstance = new v2.SensitiveDataScannerApi(configuration);
// the "scanning_group" has a "scanning_rule"
const RULE_DATA_ID = process.env.RULE_DATA_ID as string;
const params: v2.SensitiveDataScannerApiUpdateScanningRuleRequest = {
body: {
meta: {},
data: {
id: RULE_DATA_ID,
type: "sensitive_data_scanner_rule",
attributes: {
name: "Example-Sensitive-Data-Scanner",
pattern: "pattern",
textReplacement: {
type: "none",
},
tags: ["sensitive_data:true"],
isEnabled: true,
priority: 5,
includedKeywordConfiguration: {
keywords: ["credit card", "cc"],
characterCount: 35,
},
},
},
},
ruleId: RULE_DATA_ID,
};
apiInstance
.updateScanningRule(params)
.then((data: v2.SensitiveDataScannerRuleUpdateResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"