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<h1><a href="dlp_v2.html">Cloud Data Loss Prevention (DLP) API</a> . <a href="dlp_v2.projects.html">projects</a> . <a href="dlp_v2.projects.jobTriggers.html">jobTriggers</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="#activate">activate(name, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Activate a job trigger. Causes the immediate execute of a trigger</p>
<p class="toc_element">
  <code><a href="#create">create(parent, body, x__xgafv=None)</a></code></p>
<p class="firstline">Creates a job trigger to run DLP actions such as scanning storage for</p>
<p class="toc_element">
  <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
<p class="firstline">Deletes a job trigger.</p>
<p class="toc_element">
  <code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets a job trigger.</p>
<p class="toc_element">
  <code><a href="#list">list(parent, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None, filter=None)</a></code></p>
<p class="firstline">Lists job triggers.</p>
<p class="toc_element">
  <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
  <code><a href="#patch">patch(name, body, x__xgafv=None)</a></code></p>
<p class="firstline">Updates a job trigger.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="activate">activate(name, body=None, x__xgafv=None)</code>
  <pre>Activate a job trigger. Causes the immediate execute of a trigger
instead of waiting on the trigger event to occur.

Args:
  name: string, Resource name of the trigger to activate, for example
`projects/dlp-test-project/jobTriggers/53234423`. (required)
  body: object, The request body.
    The object takes the form of:

{ # Request message for ActivateJobTrigger.
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Combines all of the information about a DLP job.
    "errors": [ # A stream of errors encountered running the job.
      { # Details information about an error encountered during job execution or
          # the results of an unsuccessful activation of the JobTrigger.
          # Output only field.
        "timestamps": [ # The times the error occurred.
          "A String",
        ],
        "details": { # The `Status` type defines a logical error model that is suitable for
            # different programming environments, including REST APIs and RPC APIs. It is
            # used by [gRPC](https://github.com/grpc). Each `Status` message contains
            # three pieces of data: error code, error message, and error details.
            #
            # You can find out more about this error model and how to work with it in the
            # [API Design Guide](https://cloud.google.com/apis/design/errors).
          "message": "A String", # A developer-facing error message, which should be in English. Any
              # user-facing error message should be localized and sent in the
              # google.rpc.Status.details field, or localized by the client.
          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
          "details": [ # A list of messages that carry the error details.  There is a common set of
              # message types for APIs to use.
            {
              "a_key": "", # Properties of the object. Contains field @type with type URL.
            },
          ],
        },
      },
    ],
    "name": "A String", # The server-assigned name.
    "inspectDetails": { # The results of an inspect DataSource job. # Results from inspecting a data source.
      "requestedOptions": { # The configuration used for this job.
        "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data # If run with an InspectTemplate, a snapshot of its state at the time of
            # this run.
            # to be detected) to be used anywhere you otherwise would normally specify
            # InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates
            # to learn more.
          "updateTime": "A String", # The last update timestamp of a inspectTemplate, output only field.
          "displayName": "A String", # Display name (max 256 chars).
          "description": "A String", # Short description (max 256 chars).
          "inspectConfig": { # Configuration description of the scanning process. # The core content of the template. Configuration of the scanning process.
              # When used with redactContent only info_types and min_likelihood are currently
              # used.
            "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
            "limits": {
              "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
                  # When set within `InspectContentRequest`, the maximum returned is 2000
                  # regardless if this is set higher.
              "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
                { # Max findings configuration per infoType, per content item or long
                    # running DlpJob.
                  "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                      # info_type should be provided. If InfoTypeLimit does not have an
                      # info_type, the DLP API applies the limit against all info_types that
                      # are found but not specified in another InfoTypeLimit.
                    "name": "A String", # Name of the information type. Either a name of your choosing when
                        # creating a CustomInfoType, or one of the names listed
                        # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                        # a built-in type. InfoType names should conform to the pattern
                        # [a-zA-Z0-9_]{1,64}.
                  },
                  "maxFindings": 42, # Max findings limit for the given infoType.
                },
              ],
              "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
                  # When set within `InspectDataSourceRequest`,
                  # the maximum returned is 2000 regardless if this is set higher.
                  # When set within `InspectContentRequest`, this field is ignored.
            },
            "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
                # POSSIBLE.
                # See https://cloud.google.com/dlp/docs/likelihood to learn more.
            "customInfoTypes": [ # CustomInfoTypes provided by the user. See
                # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
              { # Custom information type provided by the user. Used to find domain-specific
                  # sensitive information configurable to the data in question.
                "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
                  "pattern": "A String", # Pattern defining the regular expression. Its syntax
                      # (https://github.com/google/re2/wiki/Syntax) can be found under the
                      # google/re2 repository on GitHub.
                  "groupIndexes": [ # The index of the submatch to extract as findings. When not
                      # specified, the entire match is returned. No more than 3 may be included.
                    42,
                  ],
                },
                "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                    # support reversing.
                    # such as
                    # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                    # These types of transformations are
                    # those that perform pseudonymization, thereby producing a "surrogate" as
                    # output. This should be used in conjunction with a field on the
                    # transformation such as `surrogate_info_type`. This CustomInfoType does
                    # not support the use of `detection_rules`.
                },
                "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                    # infoType, when the name matches one of existing infoTypes and that infoType
                    # is specified in `InspectContent.info_types` field. Specifying the latter
                    # adds findings to the one detected by the system. If built-in info type is
                    # not specified in `InspectContent.info_types` list then the name is treated
                    # as a custom info type.
                  "name": "A String", # Name of the information type. Either a name of your choosing when
                      # creating a CustomInfoType, or one of the names listed
                      # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                      # a built-in type. InfoType names should conform to the pattern
                      # [a-zA-Z0-9_]{1,64}.
                },
                "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                    # be used to match sensitive information specific to the data, such as a list
                    # of employee IDs or job titles.
                    #
                    # Dictionary words are case-insensitive and all characters other than letters
                    # and digits in the unicode [Basic Multilingual
                    # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                    # will be replaced with whitespace when scanning for matches, so the
                    # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                    # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                    # surrounding any match must be of a different type than the adjacent
                    # characters within the word, so letters must be next to non-letters and
                    # digits next to non-digits. For example, the dictionary word "jen" will
                    # match the first three letters of the text "jen123" but will return no
                    # matches for "jennifer".
                    #
                    # Dictionary words containing a large number of characters that are not
                    # letters or digits may result in unexpected findings because such characters
                    # are treated as whitespace. The
                    # [limits](https://cloud.google.com/dlp/limits) page contains details about
                    # the size limits of dictionaries. For dictionaries that do not fit within
                    # these constraints, consider using `LargeCustomDictionaryConfig` in the
                    # `StoredInfoType` API.
                  "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                    "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                        # at least one phrase and every phrase must contain at least 2 characters
                        # that are letters or digits. [required]
                      "A String",
                    ],
                  },
                  "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                      # is accepted.
                    "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                        # Example: gs://[BUCKET_NAME]/dictionary.txt
                  },
                },
                "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                    # `InspectDataSource`. Not currently supported in `InspectContent`.
                  "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                      # `organizations/433245324/storedInfoTypes/432452342` or
                      # `projects/project-id/storedInfoTypes/432452342`.
                  "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                      # inspection was created. Output-only field, populated by the system.
                },
                "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                    # Rules are applied in order that they are specified. Not supported for the
                    # `surrogate_type` CustomInfoType.
                  { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                      # `CustomInfoType` to alter behavior under certain circumstances, depending
                      # on the specific details of the rule. Not supported for the `surrogate_type`
                      # custom infoType.
                    "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                        # proximity of hotwords.
                      "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                          # The total length of the window cannot exceed 1000 characters. Note that
                          # the finding itself will be included in the window, so that hotwords may
                          # be used to match substrings of the finding itself. For example, the
                          # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                          # adjusted upwards if the area code is known to be the local area code of
                          # a company office using the hotword regex "\(xxx\)", where "xxx"
                          # is the area code in question.
                          # rule.
                        "windowAfter": 42, # Number of characters after the finding to consider.
                        "windowBefore": 42, # Number of characters before the finding to consider.
                      },
                      "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                          # part of a detection rule.
                        "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                            # levels. For example, if a finding would be `POSSIBLE` without the
                            # detection rule and `relative_likelihood` is 1, then it is upgraded to
                            # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                            # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                            # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                            # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                            # a final likelihood of `LIKELY`.
                        "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                      },
                    },
                  },
                ],
                "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                    # to be returned. It still can be used for rules matching.
                "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                    # altered by a detection rule if the finding meets the criteria specified by
                    # the rule. Defaults to `VERY_LIKELY` if not specified.
              },
            ],
            "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
                # included in the response; see Finding.quote.
            "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
                # Exclusion rules, contained in the set are executed in the end, other
                # rules are executed in the order they are specified for each info type.
              { # Rule set for modifying a set of infoTypes to alter behavior under certain
                  # circumstances, depending on the specific details of the rules within the set.
                "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
                  { # A single inspection rule to be applied to infoTypes, specified in
                      # `InspectionRuleSet`.
                    "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                        # proximity of hotwords.
                      "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                          # The total length of the window cannot exceed 1000 characters. Note that
                          # the finding itself will be included in the window, so that hotwords may
                          # be used to match substrings of the finding itself. For example, the
                          # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                          # adjusted upwards if the area code is known to be the local area code of
                          # a company office using the hotword regex "\(xxx\)", where "xxx"
                          # is the area code in question.
                          # rule.
                        "windowAfter": 42, # Number of characters after the finding to consider.
                        "windowBefore": 42, # Number of characters before the finding to consider.
                      },
                      "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                          # part of a detection rule.
                        "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                            # levels. For example, if a finding would be `POSSIBLE` without the
                            # detection rule and `relative_likelihood` is 1, then it is upgraded to
                            # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                            # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                            # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                            # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                            # a final likelihood of `LIKELY`.
                        "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                      },
                    },
                    "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                        # `InspectionRuleSet` are removed from results.
                      "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                        "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                            # contained within with a finding of an infoType from this list. For
                            # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                            # `exclusion_rule` containing `exclude_info_types.info_types` with
                            # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                            # with EMAIL_ADDRESS finding.
                            # That leads to "555-222-2222@example.org" to generate only a single
                            # finding, namely email address.
                          { # Type of information detected by the API.
                            "name": "A String", # Name of the information type. Either a name of your choosing when
                                # creating a CustomInfoType, or one of the names listed
                                # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                                # a built-in type. InfoType names should conform to the pattern
                                # [a-zA-Z0-9_]{1,64}.
                          },
                        ],
                      },
                      "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                          # be used to match sensitive information specific to the data, such as a list
                          # of employee IDs or job titles.
                          #
                          # Dictionary words are case-insensitive and all characters other than letters
                          # and digits in the unicode [Basic Multilingual
                          # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                          # will be replaced with whitespace when scanning for matches, so the
                          # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                          # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                          # surrounding any match must be of a different type than the adjacent
                          # characters within the word, so letters must be next to non-letters and
                          # digits next to non-digits. For example, the dictionary word "jen" will
                          # match the first three letters of the text "jen123" but will return no
                          # matches for "jennifer".
                          #
                          # Dictionary words containing a large number of characters that are not
                          # letters or digits may result in unexpected findings because such characters
                          # are treated as whitespace. The
                          # [limits](https://cloud.google.com/dlp/limits) page contains details about
                          # the size limits of dictionaries. For dictionaries that do not fit within
                          # these constraints, consider using `LargeCustomDictionaryConfig` in the
                          # `StoredInfoType` API.
                        "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                          "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                              # at least one phrase and every phrase must contain at least 2 characters
                              # that are letters or digits. [required]
                            "A String",
                          ],
                        },
                        "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                            # is accepted.
                          "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                              # Example: gs://[BUCKET_NAME]/dictionary.txt
                        },
                      },
                      "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                    },
                  },
                ],
                "infoTypes": [ # List of infoTypes this rule set is applied to.
                  { # Type of information detected by the API.
                    "name": "A String", # Name of the information type. Either a name of your choosing when
                        # creating a CustomInfoType, or one of the names listed
                        # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                        # a built-in type. InfoType names should conform to the pattern
                        # [a-zA-Z0-9_]{1,64}.
                  },
                ],
              },
            ],
            "contentOptions": [ # List of options defining data content to scan.
                # If empty, text, images, and other content will be included.
              "A String",
            ],
            "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
                # InfoType values returned by ListInfoTypes or listed at
                # https://cloud.google.com/dlp/docs/infotypes-reference.
                #
                # When no InfoTypes or CustomInfoTypes are specified in a request, the
                # system may automatically choose what detectors to run. By default this may
                # be all types, but may change over time as detectors are updated.
                #
                # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
                # but may change over time as new InfoTypes are added. If you need precise
                # control and predictability as to what detectors are run you should specify
                # specific InfoTypes listed in the reference.
              { # Type of information detected by the API.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
            ],
          },
          "createTime": "A String", # The creation timestamp of a inspectTemplate, output only field.
          "name": "A String", # The template name. Output only.
              #
              # The template will have one of the following formats:
              # `projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID` OR
              # `organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID`
        },
        "jobConfig": {
          "storageConfig": { # Shared message indicating Cloud storage type. # The data to scan.
            "datastoreOptions": { # Options defining a data set within Google Cloud Datastore. # Google Cloud Datastore options specification.
              "partitionId": { # Datastore partition ID. # A partition ID identifies a grouping of entities. The grouping is always
                  # by project and namespace, however the namespace ID may be empty.
                  # A partition ID identifies a grouping of entities. The grouping is always
                  # by project and namespace, however the namespace ID may be empty.
                  #
                  # A partition ID contains several dimensions:
                  # project ID and namespace ID.
                "projectId": "A String", # The ID of the project to which the entities belong.
                "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
              },
              "kind": { # A representation of a Datastore kind. # The kind to process.
                "name": "A String", # The name of the kind.
              },
            },
            "bigQueryOptions": { # Options defining BigQuery table and row identifiers. # BigQuery options specification.
              "excludedFields": [ # References to fields excluded from scanning. This allows you to skip
                  # inspection of entire columns which you know have no findings.
                { # General identifier of a data field in a storage service.
                  "name": "A String", # Name describing the field.
                },
              ],
              "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the
                  # rest of the rows are omitted. If not set, or if set to 0, all rows will be
                  # scanned. Only one of rows_limit and rows_limit_percent can be specified.
                  # Cannot be used in conjunction with TimespanConfig.
              "sampleMethod": "A String",
              "identifyingFields": [ # References to fields uniquely identifying rows within the table.
                  # Nested fields in the format, like `person.birthdate.year`, are allowed.
                { # General identifier of a data field in a storage service.
                  "name": "A String", # Name describing the field.
                },
              ],
              "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows
                  # scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and
                  # 100 means no limit. Defaults to 0. Only one of rows_limit and
                  # rows_limit_percent can be specified. Cannot be used in conjunction with
                  # TimespanConfig.
              "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely # Complete BigQuery table reference.
                  # identified  by its project_id, dataset_id, and table_name. Within a query
                  # a table is often referenced with a string in the format of:
                  # `<project_id>:<dataset_id>.<table_id>` or
                  # `<project_id>.<dataset_id>.<table_id>`.
                "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                    # If omitted, project ID is inferred from the API call.
                "tableId": "A String", # Name of the table.
                "datasetId": "A String", # Dataset ID of the table.
              },
            },
            "timespanConfig": { # Configuration of the timespan of the items to include in scanning.
                # Currently only supported when inspecting Google Cloud Storage and BigQuery.
              "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items.
                  # Used for data sources like Datastore or BigQuery.
                  # If not specified for BigQuery, table last modification timestamp
                  # is checked against given time span.
                  # The valid data types of the timestamp field are:
                  # for BigQuery - timestamp, date, datetime;
                  # for Datastore - timestamp.
                  # Datastore entity will be scanned if the timestamp property does not exist
                  # or its value is empty or invalid.
                "name": "A String", # Name describing the field.
              },
              "endTime": "A String", # Exclude files or rows newer than this value.
                  # If set to zero, no upper time limit is applied.
              "startTime": "A String", # Exclude files or rows older than this value.
              "enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out
                  # a valid start_time to avoid scanning files that have not been modified
                  # since the last time the JobTrigger executed. This will be based on the
                  # time of the execution of the last run of the JobTrigger.
            },
            "cloudStorageOptions": { # Options defining a file or a set of files within a Google Cloud Storage # Google Cloud Storage options specification.
                # bucket.
              "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger
                  # than this value then the rest of the bytes are omitted. Only one
                  # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
              "sampleMethod": "A String",
              "fileSet": { # Set of files to scan. # The set of one or more files to scan.
                "url": "A String", # The Cloud Storage url of the file(s) to scan, in the format
                    # `gs://<bucket>/<path>`. Trailing wildcard in the path is allowed.
                    #
                    # If the url ends in a trailing slash, the bucket or directory represented
                    # by the url will be scanned non-recursively (content in sub-directories
                    # will not be scanned). This means that `gs://mybucket/` is equivalent to
                    # `gs://mybucket/*`, and `gs://mybucket/directory/` is equivalent to
                    # `gs://mybucket/directory/*`.
                    #
                    # Exactly one of `url` or `regex_file_set` must be set.
                "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular # The regex-filtered set of files to scan. Exactly one of `url` or
                    # `regex_file_set` must be set.
                    # expressions are used to allow fine-grained control over which files in the
                    # bucket to include.
                    #
                    # Included files are those that match at least one item in `include_regex` and
                    # do not match any items in `exclude_regex`. Note that a file that matches
                    # items from both lists will _not_ be included. For a match to occur, the
                    # entire file path (i.e., everything in the url after the bucket name) must
                    # match the regular expression.
                    #
                    # For example, given the input `{bucket_name: "mybucket", include_regex:
                    # ["directory1/.*"], exclude_regex:
                    # ["directory1/excluded.*"]}`:
                    #
                    # * `gs://mybucket/directory1/myfile` will be included
                    # * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches
                    # across `/`)
                    # * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the
                    # full path doesn't match any items in `include_regex`)
                    # * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path
                    # matches an item in `exclude_regex`)
                    #
                    # If `include_regex` is left empty, it will match all files by default
                    # (this is equivalent to setting `include_regex: [".*"]`).
                    #
                    # Some other common use cases:
                    #
                    # * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all
                    # files in `mybucket` except for .pdf files
                    # * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will
                    # include all files directly under `gs://mybucket/directory/`, without matching
                    # across `/`
                  "excludeRegex": [ # A list of regular expressions matching file paths to exclude. All files in
                      # the bucket that match at least one of these regular expressions will be
                      # excluded from the scan.
                      #
                      # Regular expressions use RE2
                      # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                      # under the google/re2 repository on GitHub.
                    "A String",
                  ],
                  "bucketName": "A String", # The name of a Cloud Storage bucket. Required.
                  "includeRegex": [ # A list of regular expressions matching file paths to include. All files in
                      # the bucket that match at least one of these regular expressions will be
                      # included in the set of files, except for those that also match an item in
                      # `exclude_regex`. Leaving this field empty will match all files by default
                      # (this is equivalent to including `.*` in the list).
                      #
                      # Regular expressions use RE2
                      # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                      # under the google/re2 repository on GitHub.
                    "A String",
                  ],
                },
              },
              "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The
                  # number of bytes scanned is rounded down. Must be between 0 and 100,
                  # inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one
                  # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
              "filesLimitPercent": 42, # Limits the number of files to scan to this percentage of the input FileSet.
                  # Number of files scanned is rounded down. Must be between 0 and 100,
                  # inclusively. Both 0 and 100 means no limit. Defaults to 0.
              "fileTypes": [ # List of file type groups to include in the scan.
                  # If empty, all files are scanned and available data format processors
                  # are applied. In addition, the binary content of the selected files
                  # is always scanned as well.
                "A String",
              ],
            },
          },
          "inspectConfig": { # Configuration description of the scanning process. # How and what to scan for.
              # When used with redactContent only info_types and min_likelihood are currently
              # used.
            "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
            "limits": {
              "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
                  # When set within `InspectContentRequest`, the maximum returned is 2000
                  # regardless if this is set higher.
              "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
                { # Max findings configuration per infoType, per content item or long
                    # running DlpJob.
                  "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                      # info_type should be provided. If InfoTypeLimit does not have an
                      # info_type, the DLP API applies the limit against all info_types that
                      # are found but not specified in another InfoTypeLimit.
                    "name": "A String", # Name of the information type. Either a name of your choosing when
                        # creating a CustomInfoType, or one of the names listed
                        # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                        # a built-in type. InfoType names should conform to the pattern
                        # [a-zA-Z0-9_]{1,64}.
                  },
                  "maxFindings": 42, # Max findings limit for the given infoType.
                },
              ],
              "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
                  # When set within `InspectDataSourceRequest`,
                  # the maximum returned is 2000 regardless if this is set higher.
                  # When set within `InspectContentRequest`, this field is ignored.
            },
            "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
                # POSSIBLE.
                # See https://cloud.google.com/dlp/docs/likelihood to learn more.
            "customInfoTypes": [ # CustomInfoTypes provided by the user. See
                # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
              { # Custom information type provided by the user. Used to find domain-specific
                  # sensitive information configurable to the data in question.
                "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
                  "pattern": "A String", # Pattern defining the regular expression. Its syntax
                      # (https://github.com/google/re2/wiki/Syntax) can be found under the
                      # google/re2 repository on GitHub.
                  "groupIndexes": [ # The index of the submatch to extract as findings. When not
                      # specified, the entire match is returned. No more than 3 may be included.
                    42,
                  ],
                },
                "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                    # support reversing.
                    # such as
                    # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                    # These types of transformations are
                    # those that perform pseudonymization, thereby producing a "surrogate" as
                    # output. This should be used in conjunction with a field on the
                    # transformation such as `surrogate_info_type`. This CustomInfoType does
                    # not support the use of `detection_rules`.
                },
                "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                    # infoType, when the name matches one of existing infoTypes and that infoType
                    # is specified in `InspectContent.info_types` field. Specifying the latter
                    # adds findings to the one detected by the system. If built-in info type is
                    # not specified in `InspectContent.info_types` list then the name is treated
                    # as a custom info type.
                  "name": "A String", # Name of the information type. Either a name of your choosing when
                      # creating a CustomInfoType, or one of the names listed
                      # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                      # a built-in type. InfoType names should conform to the pattern
                      # [a-zA-Z0-9_]{1,64}.
                },
                "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                    # be used to match sensitive information specific to the data, such as a list
                    # of employee IDs or job titles.
                    #
                    # Dictionary words are case-insensitive and all characters other than letters
                    # and digits in the unicode [Basic Multilingual
                    # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                    # will be replaced with whitespace when scanning for matches, so the
                    # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                    # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                    # surrounding any match must be of a different type than the adjacent
                    # characters within the word, so letters must be next to non-letters and
                    # digits next to non-digits. For example, the dictionary word "jen" will
                    # match the first three letters of the text "jen123" but will return no
                    # matches for "jennifer".
                    #
                    # Dictionary words containing a large number of characters that are not
                    # letters or digits may result in unexpected findings because such characters
                    # are treated as whitespace. The
                    # [limits](https://cloud.google.com/dlp/limits) page contains details about
                    # the size limits of dictionaries. For dictionaries that do not fit within
                    # these constraints, consider using `LargeCustomDictionaryConfig` in the
                    # `StoredInfoType` API.
                  "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                    "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                        # at least one phrase and every phrase must contain at least 2 characters
                        # that are letters or digits. [required]
                      "A String",
                    ],
                  },
                  "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                      # is accepted.
                    "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                        # Example: gs://[BUCKET_NAME]/dictionary.txt
                  },
                },
                "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                    # `InspectDataSource`. Not currently supported in `InspectContent`.
                  "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                      # `organizations/433245324/storedInfoTypes/432452342` or
                      # `projects/project-id/storedInfoTypes/432452342`.
                  "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                      # inspection was created. Output-only field, populated by the system.
                },
                "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                    # Rules are applied in order that they are specified. Not supported for the
                    # `surrogate_type` CustomInfoType.
                  { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                      # `CustomInfoType` to alter behavior under certain circumstances, depending
                      # on the specific details of the rule. Not supported for the `surrogate_type`
                      # custom infoType.
                    "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                        # proximity of hotwords.
                      "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                          # The total length of the window cannot exceed 1000 characters. Note that
                          # the finding itself will be included in the window, so that hotwords may
                          # be used to match substrings of the finding itself. For example, the
                          # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                          # adjusted upwards if the area code is known to be the local area code of
                          # a company office using the hotword regex "\(xxx\)", where "xxx"
                          # is the area code in question.
                          # rule.
                        "windowAfter": 42, # Number of characters after the finding to consider.
                        "windowBefore": 42, # Number of characters before the finding to consider.
                      },
                      "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                          # part of a detection rule.
                        "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                            # levels. For example, if a finding would be `POSSIBLE` without the
                            # detection rule and `relative_likelihood` is 1, then it is upgraded to
                            # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                            # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                            # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                            # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                            # a final likelihood of `LIKELY`.
                        "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                      },
                    },
                  },
                ],
                "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                    # to be returned. It still can be used for rules matching.
                "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                    # altered by a detection rule if the finding meets the criteria specified by
                    # the rule. Defaults to `VERY_LIKELY` if not specified.
              },
            ],
            "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
                # included in the response; see Finding.quote.
            "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
                # Exclusion rules, contained in the set are executed in the end, other
                # rules are executed in the order they are specified for each info type.
              { # Rule set for modifying a set of infoTypes to alter behavior under certain
                  # circumstances, depending on the specific details of the rules within the set.
                "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
                  { # A single inspection rule to be applied to infoTypes, specified in
                      # `InspectionRuleSet`.
                    "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                        # proximity of hotwords.
                      "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                          # The total length of the window cannot exceed 1000 characters. Note that
                          # the finding itself will be included in the window, so that hotwords may
                          # be used to match substrings of the finding itself. For example, the
                          # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                          # adjusted upwards if the area code is known to be the local area code of
                          # a company office using the hotword regex "\(xxx\)", where "xxx"
                          # is the area code in question.
                          # rule.
                        "windowAfter": 42, # Number of characters after the finding to consider.
                        "windowBefore": 42, # Number of characters before the finding to consider.
                      },
                      "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                          # part of a detection rule.
                        "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                            # levels. For example, if a finding would be `POSSIBLE` without the
                            # detection rule and `relative_likelihood` is 1, then it is upgraded to
                            # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                            # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                            # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                            # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                            # a final likelihood of `LIKELY`.
                        "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                      },
                    },
                    "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                        # `InspectionRuleSet` are removed from results.
                      "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                        "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                            # contained within with a finding of an infoType from this list. For
                            # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                            # `exclusion_rule` containing `exclude_info_types.info_types` with
                            # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                            # with EMAIL_ADDRESS finding.
                            # That leads to "555-222-2222@example.org" to generate only a single
                            # finding, namely email address.
                          { # Type of information detected by the API.
                            "name": "A String", # Name of the information type. Either a name of your choosing when
                                # creating a CustomInfoType, or one of the names listed
                                # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                                # a built-in type. InfoType names should conform to the pattern
                                # [a-zA-Z0-9_]{1,64}.
                          },
                        ],
                      },
                      "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                          # be used to match sensitive information specific to the data, such as a list
                          # of employee IDs or job titles.
                          #
                          # Dictionary words are case-insensitive and all characters other than letters
                          # and digits in the unicode [Basic Multilingual
                          # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                          # will be replaced with whitespace when scanning for matches, so the
                          # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                          # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                          # surrounding any match must be of a different type than the adjacent
                          # characters within the word, so letters must be next to non-letters and
                          # digits next to non-digits. For example, the dictionary word "jen" will
                          # match the first three letters of the text "jen123" but will return no
                          # matches for "jennifer".
                          #
                          # Dictionary words containing a large number of characters that are not
                          # letters or digits may result in unexpected findings because such characters
                          # are treated as whitespace. The
                          # [limits](https://cloud.google.com/dlp/limits) page contains details about
                          # the size limits of dictionaries. For dictionaries that do not fit within
                          # these constraints, consider using `LargeCustomDictionaryConfig` in the
                          # `StoredInfoType` API.
                        "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                          "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                              # at least one phrase and every phrase must contain at least 2 characters
                              # that are letters or digits. [required]
                            "A String",
                          ],
                        },
                        "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                            # is accepted.
                          "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                              # Example: gs://[BUCKET_NAME]/dictionary.txt
                        },
                      },
                      "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                    },
                  },
                ],
                "infoTypes": [ # List of infoTypes this rule set is applied to.
                  { # Type of information detected by the API.
                    "name": "A String", # Name of the information type. Either a name of your choosing when
                        # creating a CustomInfoType, or one of the names listed
                        # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                        # a built-in type. InfoType names should conform to the pattern
                        # [a-zA-Z0-9_]{1,64}.
                  },
                ],
              },
            ],
            "contentOptions": [ # List of options defining data content to scan.
                # If empty, text, images, and other content will be included.
              "A String",
            ],
            "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
                # InfoType values returned by ListInfoTypes or listed at
                # https://cloud.google.com/dlp/docs/infotypes-reference.
                #
                # When no InfoTypes or CustomInfoTypes are specified in a request, the
                # system may automatically choose what detectors to run. By default this may
                # be all types, but may change over time as detectors are updated.
                #
                # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
                # but may change over time as new InfoTypes are added. If you need precise
                # control and predictability as to what detectors are run you should specify
                # specific InfoTypes listed in the reference.
              { # Type of information detected by the API.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
            ],
          },
          "inspectTemplateName": "A String", # If provided, will be used as the default for all values in InspectConfig.
              # `inspect_config` will be merged into the values persisted as part of the
              # template.
          "actions": [ # Actions to execute at the completion of the job.
            { # A task to execute on the completion of a job.
                # See https://cloud.google.com/dlp/docs/concepts-actions to learn more.
              "saveFindings": { # If set, the detailed findings will be persisted to the specified # Save resulting findings in a provided location.
                  # OutputStorageConfig. Only a single instance of this action can be
                  # specified.
                  # Compatible with: Inspect, Risk
                "outputConfig": { # Cloud repository for storing output.
                  "table": { # Message defining the location of a BigQuery table. A table is uniquely # Store findings in an existing table or a new table in an existing
                      # dataset. If table_id is not set a new one will be generated
                      # for you with the following format:
                      # dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
                      # generating the date details.
                      #
                      # For Inspect, each column in an existing output table must have the same
                      # name, type, and mode of a field in the `Finding` object.
                      #
                      # For Risk, an existing output table should be the output of a previous
                      # Risk analysis job run on the same source table, with the same privacy
                      # metric and quasi-identifiers. Risk jobs that analyze the same table but
                      # compute a different privacy metric, or use different sets of
                      # quasi-identifiers, cannot store their results in the same table.
                      # identified  by its project_id, dataset_id, and table_name. Within a query
                      # a table is often referenced with a string in the format of:
                      # `<project_id>:<dataset_id>.<table_id>` or
                      # `<project_id>.<dataset_id>.<table_id>`.
                    "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                        # If omitted, project ID is inferred from the API call.
                    "tableId": "A String", # Name of the table.
                    "datasetId": "A String", # Dataset ID of the table.
                  },
                  "outputSchema": "A String", # Schema used for writing the findings for Inspect jobs. This field is only
                      # used for Inspect and must be unspecified for Risk jobs. Columns are derived
                      # from the `Finding` object. If appending to an existing table, any columns
                      # from the predefined schema that are missing will be added. No columns in
                      # the existing table will be deleted.
                      #
                      # If unspecified, then all available columns will be used for a new table or
                      # an (existing) table with no schema, and no changes will be made to an
                      # existing table that has a schema.
                },
              },
              "jobNotificationEmails": { # Enable email notification to project owners and editors on jobs's # Enable email notification to project owners and editors on job's
                  # completion/failure.
                  # completion/failure.
              },
              "publishSummaryToCscc": { # Publish the result summary of a DlpJob to the Cloud Security # Publish summary to Cloud Security Command Center (Alpha).
                  # Command Center (CSCC Alpha).
                  # This action is only available for projects which are parts of
                  # an organization and whitelisted for the alpha Cloud Security Command
                  # Center.
                  # The action will publish count of finding instances and their info types.
                  # The summary of findings will be persisted in CSCC and are governed by CSCC
                  # service-specific policy, see https://cloud.google.com/terms/service-terms
                  # Only a single instance of this action can be specified.
                  # Compatible with: Inspect
              },
              "pubSub": { # Publish a message into given Pub/Sub topic when DlpJob has completed. The # Publish a notification to a pubsub topic.
                  # message contains a single field, `DlpJobName`, which is equal to the
                  # finished job's
                  # [`DlpJob.name`](/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob).
                  # Compatible with: Inspect, Risk
                "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given
                    # publishing access rights to the DLP API service account executing
                    # the long running DlpJob sending the notifications.
                    # Format is projects/{project}/topics/{topic}.
              },
            },
          ],
        },
      },
      "result": { # All result fields mentioned below are updated while the job is processing. # A summary of the outcome of this inspect job.
        "infoTypeStats": [ # Statistics of how many instances of each info type were found during
            # inspect job.
          { # Statistics regarding a specific InfoType.
            "count": "A String", # Number of findings for this infoType.
            "infoType": { # Type of information detected by the API. # The type of finding this stat is for.
              "name": "A String", # Name of the information type. Either a name of your choosing when
                  # creating a CustomInfoType, or one of the names listed
                  # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                  # a built-in type. InfoType names should conform to the pattern
                  # [a-zA-Z0-9_]{1,64}.
            },
          },
        ],
        "totalEstimatedBytes": "A String", # Estimate of the number of bytes to process.
        "processedBytes": "A String", # Total size in bytes that were processed.
      },
    },
    "riskDetails": { # Result of a risk analysis operation request. # Results from analyzing risk of a data source.
      "numericalStatsResult": { # Result of the numerical stats computation.
        "quantileValues": [ # List of 99 values that partition the set of field values into 100 equal
            # sized buckets.
          { # Set of primitive values supported by the system.
              # Note that for the purposes of inspection or transformation, the number
              # of bytes considered to comprise a 'Value' is based on its representation
              # as a UTF-8 encoded string. For example, if 'integer_value' is set to
              # 123456789, the number of bytes would be counted as 9, even though an
              # int64 only holds up to 8 bytes of data.
            "floatValue": 3.14,
            "timestampValue": "A String",
            "dayOfWeekValue": "A String",
            "timeValue": { # Represents a time of day. The date and time zone are either not significant
                # or are specified elsewhere. An API may choose to allow leap seconds. Related
                # types are google.type.Date and `google.protobuf.Timestamp`.
              "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                  # to allow the value "24:00:00" for scenarios like business closing time.
              "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
              "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                  # allow the value 60 if it allows leap-seconds.
              "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
            },
            "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
                # and time zone are either specified elsewhere or are not significant. The date
                # is relative to the Proleptic Gregorian Calendar. This can represent:
                #
                # * A full date, with non-zero year, month and day values
                # * A month and day value, with a zero year, e.g. an anniversary
                # * A year on its own, with zero month and day values
                # * A year and month value, with a zero day, e.g. a credit card expiration date
                #
                # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
              "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                  # a year.
              "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                  # if specifying a year by itself or a year and month where the day is not
                  # significant.
              "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                  # month and day.
            },
            "stringValue": "A String",
            "booleanValue": True or False,
            "integerValue": "A String",
          },
        ],
        "maxValue": { # Set of primitive values supported by the system. # Maximum value appearing in the column.
            # Note that for the purposes of inspection or transformation, the number
            # of bytes considered to comprise a 'Value' is based on its representation
            # as a UTF-8 encoded string. For example, if 'integer_value' is set to
            # 123456789, the number of bytes would be counted as 9, even though an
            # int64 only holds up to 8 bytes of data.
          "floatValue": 3.14,
          "timestampValue": "A String",
          "dayOfWeekValue": "A String",
          "timeValue": { # Represents a time of day. The date and time zone are either not significant
              # or are specified elsewhere. An API may choose to allow leap seconds. Related
              # types are google.type.Date and `google.protobuf.Timestamp`.
            "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                # to allow the value "24:00:00" for scenarios like business closing time.
            "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
            "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                # allow the value 60 if it allows leap-seconds.
            "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
          },
          "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
              # and time zone are either specified elsewhere or are not significant. The date
              # is relative to the Proleptic Gregorian Calendar. This can represent:
              #
              # * A full date, with non-zero year, month and day values
              # * A month and day value, with a zero year, e.g. an anniversary
              # * A year on its own, with zero month and day values
              # * A year and month value, with a zero day, e.g. a credit card expiration date
              #
              # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
            "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                # a year.
            "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                # if specifying a year by itself or a year and month where the day is not
                # significant.
            "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                # month and day.
          },
          "stringValue": "A String",
          "booleanValue": True or False,
          "integerValue": "A String",
        },
        "minValue": { # Set of primitive values supported by the system. # Minimum value appearing in the column.
            # Note that for the purposes of inspection or transformation, the number
            # of bytes considered to comprise a 'Value' is based on its representation
            # as a UTF-8 encoded string. For example, if 'integer_value' is set to
            # 123456789, the number of bytes would be counted as 9, even though an
            # int64 only holds up to 8 bytes of data.
          "floatValue": 3.14,
          "timestampValue": "A String",
          "dayOfWeekValue": "A String",
          "timeValue": { # Represents a time of day. The date and time zone are either not significant
              # or are specified elsewhere. An API may choose to allow leap seconds. Related
              # types are google.type.Date and `google.protobuf.Timestamp`.
            "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                # to allow the value "24:00:00" for scenarios like business closing time.
            "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
            "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                # allow the value 60 if it allows leap-seconds.
            "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
          },
          "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
              # and time zone are either specified elsewhere or are not significant. The date
              # is relative to the Proleptic Gregorian Calendar. This can represent:
              #
              # * A full date, with non-zero year, month and day values
              # * A month and day value, with a zero year, e.g. an anniversary
              # * A year on its own, with zero month and day values
              # * A year and month value, with a zero day, e.g. a credit card expiration date
              #
              # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
            "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                # a year.
            "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                # if specifying a year by itself or a year and month where the day is not
                # significant.
            "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                # month and day.
          },
          "stringValue": "A String",
          "booleanValue": True or False,
          "integerValue": "A String",
        },
      },
      "kMapEstimationResult": { # Result of the reidentifiability analysis. Note that these results are an
          # estimation, not exact values.
        "kMapEstimationHistogram": [ # The intervals [min_anonymity, max_anonymity] do not overlap. If a value
            # doesn't correspond to any such interval, the associated frequency is
            # zero. For example, the following records:
            #   {min_anonymity: 1, max_anonymity: 1, frequency: 17}
            #   {min_anonymity: 2, max_anonymity: 3, frequency: 42}
            #   {min_anonymity: 5, max_anonymity: 10, frequency: 99}
            # mean that there are no record with an estimated anonymity of 4, 5, or
            # larger than 10.
          { # A KMapEstimationHistogramBucket message with the following values:
              #   min_anonymity: 3
              #   max_anonymity: 5
              #   frequency: 42
              # means that there are 42 records whose quasi-identifier values correspond
              # to 3, 4 or 5 people in the overlying population. An important particular
              # case is when min_anonymity = max_anonymity = 1: the frequency field then
              # corresponds to the number of uniquely identifiable records.
            "bucketValues": [ # Sample of quasi-identifier tuple values in this bucket. The total
                # number of classes returned per bucket is capped at 20.
              { # A tuple of values for the quasi-identifier columns.
                "estimatedAnonymity": "A String", # The estimated anonymity for these quasi-identifier values.
                "quasiIdsValues": [ # The quasi-identifier values.
                  { # Set of primitive values supported by the system.
                      # Note that for the purposes of inspection or transformation, the number
                      # of bytes considered to comprise a 'Value' is based on its representation
                      # as a UTF-8 encoded string. For example, if 'integer_value' is set to
                      # 123456789, the number of bytes would be counted as 9, even though an
                      # int64 only holds up to 8 bytes of data.
                    "floatValue": 3.14,
                    "timestampValue": "A String",
                    "dayOfWeekValue": "A String",
                    "timeValue": { # Represents a time of day. The date and time zone are either not significant
                        # or are specified elsewhere. An API may choose to allow leap seconds. Related
                        # types are google.type.Date and `google.protobuf.Timestamp`.
                      "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                          # to allow the value "24:00:00" for scenarios like business closing time.
                      "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
                      "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                          # allow the value 60 if it allows leap-seconds.
                      "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
                    },
                    "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
                        # and time zone are either specified elsewhere or are not significant. The date
                        # is relative to the Proleptic Gregorian Calendar. This can represent:
                        #
                        # * A full date, with non-zero year, month and day values
                        # * A month and day value, with a zero year, e.g. an anniversary
                        # * A year on its own, with zero month and day values
                        # * A year and month value, with a zero day, e.g. a credit card expiration date
                        #
                        # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
                      "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                          # a year.
                      "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                          # if specifying a year by itself or a year and month where the day is not
                          # significant.
                      "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                          # month and day.
                    },
                    "stringValue": "A String",
                    "booleanValue": True or False,
                    "integerValue": "A String",
                  },
                ],
              },
            ],
            "minAnonymity": "A String", # Always positive.
            "bucketValueCount": "A String", # Total number of distinct quasi-identifier tuple values in this bucket.
            "maxAnonymity": "A String", # Always greater than or equal to min_anonymity.
            "bucketSize": "A String", # Number of records within these anonymity bounds.
          },
        ],
      },
      "kAnonymityResult": { # Result of the k-anonymity computation.
        "equivalenceClassHistogramBuckets": [ # Histogram of k-anonymity equivalence classes.
          {
            "bucketValues": [ # Sample of equivalence classes in this bucket. The total number of
                # classes returned per bucket is capped at 20.
              { # The set of columns' values that share the same ldiversity value
                "quasiIdsValues": [ # Set of values defining the equivalence class. One value per
                    # quasi-identifier column in the original KAnonymity metric message.
                    # The order is always the same as the original request.
                  { # Set of primitive values supported by the system.
                      # Note that for the purposes of inspection or transformation, the number
                      # of bytes considered to comprise a 'Value' is based on its representation
                      # as a UTF-8 encoded string. For example, if 'integer_value' is set to
                      # 123456789, the number of bytes would be counted as 9, even though an
                      # int64 only holds up to 8 bytes of data.
                    "floatValue": 3.14,
                    "timestampValue": "A String",
                    "dayOfWeekValue": "A String",
                    "timeValue": { # Represents a time of day. The date and time zone are either not significant
                        # or are specified elsewhere. An API may choose to allow leap seconds. Related
                        # types are google.type.Date and `google.protobuf.Timestamp`.
                      "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                          # to allow the value "24:00:00" for scenarios like business closing time.
                      "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
                      "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                          # allow the value 60 if it allows leap-seconds.
                      "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
                    },
                    "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
                        # and time zone are either specified elsewhere or are not significant. The date
                        # is relative to the Proleptic Gregorian Calendar. This can represent:
                        #
                        # * A full date, with non-zero year, month and day values
                        # * A month and day value, with a zero year, e.g. an anniversary
                        # * A year on its own, with zero month and day values
                        # * A year and month value, with a zero day, e.g. a credit card expiration date
                        #
                        # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
                      "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                          # a year.
                      "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                          # if specifying a year by itself or a year and month where the day is not
                          # significant.
                      "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                          # month and day.
                    },
                    "stringValue": "A String",
                    "booleanValue": True or False,
                    "integerValue": "A String",
                  },
                ],
                "equivalenceClassSize": "A String", # Size of the equivalence class, for example number of rows with the
                    # above set of values.
              },
            ],
            "bucketValueCount": "A String", # Total number of distinct equivalence classes in this bucket.
            "equivalenceClassSizeLowerBound": "A String", # Lower bound on the size of the equivalence classes in this bucket.
            "equivalenceClassSizeUpperBound": "A String", # Upper bound on the size of the equivalence classes in this bucket.
            "bucketSize": "A String", # Total number of equivalence classes in this bucket.
          },
        ],
      },
      "lDiversityResult": { # Result of the l-diversity computation.
        "sensitiveValueFrequencyHistogramBuckets": [ # Histogram of l-diversity equivalence class sensitive value frequencies.
          {
            "bucketValues": [ # Sample of equivalence classes in this bucket. The total number of
                # classes returned per bucket is capped at 20.
              { # The set of columns' values that share the same ldiversity value.
                "numDistinctSensitiveValues": "A String", # Number of distinct sensitive values in this equivalence class.
                "quasiIdsValues": [ # Quasi-identifier values defining the k-anonymity equivalence
                    # class. The order is always the same as the original request.
                  { # Set of primitive values supported by the system.
                      # Note that for the purposes of inspection or transformation, the number
                      # of bytes considered to comprise a 'Value' is based on its representation
                      # as a UTF-8 encoded string. For example, if 'integer_value' is set to
                      # 123456789, the number of bytes would be counted as 9, even though an
                      # int64 only holds up to 8 bytes of data.
                    "floatValue": 3.14,
                    "timestampValue": "A String",
                    "dayOfWeekValue": "A String",
                    "timeValue": { # Represents a time of day. The date and time zone are either not significant
                        # or are specified elsewhere. An API may choose to allow leap seconds. Related
                        # types are google.type.Date and `google.protobuf.Timestamp`.
                      "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                          # to allow the value "24:00:00" for scenarios like business closing time.
                      "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
                      "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                          # allow the value 60 if it allows leap-seconds.
                      "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
                    },
                    "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
                        # and time zone are either specified elsewhere or are not significant. The date
                        # is relative to the Proleptic Gregorian Calendar. This can represent:
                        #
                        # * A full date, with non-zero year, month and day values
                        # * A month and day value, with a zero year, e.g. an anniversary
                        # * A year on its own, with zero month and day values
                        # * A year and month value, with a zero day, e.g. a credit card expiration date
                        #
                        # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
                      "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                          # a year.
                      "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                          # if specifying a year by itself or a year and month where the day is not
                          # significant.
                      "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                          # month and day.
                    },
                    "stringValue": "A String",
                    "booleanValue": True or False,
                    "integerValue": "A String",
                  },
                ],
                "topSensitiveValues": [ # Estimated frequencies of top sensitive values.
                  { # A value of a field, including its frequency.
                    "count": "A String", # How many times the value is contained in the field.
                    "value": { # Set of primitive values supported by the system. # A value contained in the field in question.
                        # Note that for the purposes of inspection or transformation, the number
                        # of bytes considered to comprise a 'Value' is based on its representation
                        # as a UTF-8 encoded string. For example, if 'integer_value' is set to
                        # 123456789, the number of bytes would be counted as 9, even though an
                        # int64 only holds up to 8 bytes of data.
                      "floatValue": 3.14,
                      "timestampValue": "A String",
                      "dayOfWeekValue": "A String",
                      "timeValue": { # Represents a time of day. The date and time zone are either not significant
                          # or are specified elsewhere. An API may choose to allow leap seconds. Related
                          # types are google.type.Date and `google.protobuf.Timestamp`.
                        "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                            # to allow the value "24:00:00" for scenarios like business closing time.
                        "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
                        "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                            # allow the value 60 if it allows leap-seconds.
                        "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
                      },
                      "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
                          # and time zone are either specified elsewhere or are not significant. The date
                          # is relative to the Proleptic Gregorian Calendar. This can represent:
                          #
                          # * A full date, with non-zero year, month and day values
                          # * A month and day value, with a zero year, e.g. an anniversary
                          # * A year on its own, with zero month and day values
                          # * A year and month value, with a zero day, e.g. a credit card expiration date
                          #
                          # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
                        "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                            # a year.
                        "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                            # if specifying a year by itself or a year and month where the day is not
                            # significant.
                        "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                            # month and day.
                      },
                      "stringValue": "A String",
                      "booleanValue": True or False,
                      "integerValue": "A String",
                    },
                  },
                ],
                "equivalenceClassSize": "A String", # Size of the k-anonymity equivalence class.
              },
            ],
            "bucketValueCount": "A String", # Total number of distinct equivalence classes in this bucket.
            "bucketSize": "A String", # Total number of equivalence classes in this bucket.
            "sensitiveValueFrequencyUpperBound": "A String", # Upper bound on the sensitive value frequencies of the equivalence
                # classes in this bucket.
            "sensitiveValueFrequencyLowerBound": "A String", # Lower bound on the sensitive value frequencies of the equivalence
                # classes in this bucket.
          },
        ],
      },
      "requestedPrivacyMetric": { # Privacy metric to compute for reidentification risk analysis. # Privacy metric to compute.
        "numericalStatsConfig": { # Compute numerical stats over an individual column, including
            # min, max, and quantiles.
          "field": { # General identifier of a data field in a storage service. # Field to compute numerical stats on. Supported types are
              # integer, float, date, datetime, timestamp, time.
            "name": "A String", # Name describing the field.
          },
        },
        "kMapEstimationConfig": { # Reidentifiability metric. This corresponds to a risk model similar to what
            # is called "journalist risk" in the literature, except the attack dataset is
            # statistically modeled instead of being perfectly known. This can be done
            # using publicly available data (like the US Census), or using a custom
            # statistical model (indicated as one or several BigQuery tables), or by
            # extrapolating from the distribution of values in the input dataset.
            # A column with a semantic tag attached.
          "regionCode": "A String", # ISO 3166-1 alpha-2 region code to use in the statistical modeling.
              # Required if no column is tagged with a region-specific InfoType (like
              # US_ZIP_5) or a region code.
          "quasiIds": [ # Fields considered to be quasi-identifiers. No two columns can have the
              # same tag. [required]
            {
              "field": { # General identifier of a data field in a storage service. # Identifies the column. [required]
                "name": "A String", # Name describing the field.
              },
              "customTag": "A String", # A column can be tagged with a custom tag. In this case, the user must
                  # indicate an auxiliary table that contains statistical information on
                  # the possible values of this column (below).
              "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public
                  # dataset as a statistical model of population, if available. We
                  # currently support US ZIP codes, region codes, ages and genders.
                  # To programmatically obtain the list of supported InfoTypes, use
                  # ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
              "inferred": { # A generic empty message that you can re-use to avoid defining duplicated # If no semantic tag is indicated, we infer the statistical model from
                  # the distribution of values in the input data
                  # empty messages in your APIs. A typical example is to use it as the request
                  # or the response type of an API method. For instance:
                  #
                  #     service Foo {
                  #       rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
                  #     }
                  #
                  # The JSON representation for `Empty` is empty JSON object `{}`.
              },
            },
          ],
          "auxiliaryTables": [ # Several auxiliary tables can be used in the analysis. Each custom_tag
              # used to tag a quasi-identifiers column must appear in exactly one column
              # of one auxiliary table.
            { # An auxiliary table contains statistical information on the relative
                # frequency of different quasi-identifiers values. It has one or several
                # quasi-identifiers columns, and one column that indicates the relative
                # frequency of each quasi-identifier tuple.
                # If a tuple is present in the data but not in the auxiliary table, the
                # corresponding relative frequency is assumed to be zero (and thus, the
                # tuple is highly reidentifiable).
              "relativeFrequency": { # General identifier of a data field in a storage service. # The relative frequency column must contain a floating-point number
                  # between 0 and 1 (inclusive). Null values are assumed to be zero.
                  # [required]
                "name": "A String", # Name describing the field.
              },
              "quasiIds": [ # Quasi-identifier columns. [required]
                { # A quasi-identifier column has a custom_tag, used to know which column
                    # in the data corresponds to which column in the statistical model.
                  "field": { # General identifier of a data field in a storage service.
                    "name": "A String", # Name describing the field.
                  },
                  "customTag": "A String",
                },
              ],
              "table": { # Message defining the location of a BigQuery table. A table is uniquely # Auxiliary table location. [required]
                  # identified  by its project_id, dataset_id, and table_name. Within a query
                  # a table is often referenced with a string in the format of:
                  # `<project_id>:<dataset_id>.<table_id>` or
                  # `<project_id>.<dataset_id>.<table_id>`.
                "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                    # If omitted, project ID is inferred from the API call.
                "tableId": "A String", # Name of the table.
                "datasetId": "A String", # Dataset ID of the table.
              },
            },
          ],
        },
        "lDiversityConfig": { # l-diversity metric, used for analysis of reidentification risk.
          "sensitiveAttribute": { # General identifier of a data field in a storage service. # Sensitive field for computing the l-value.
            "name": "A String", # Name describing the field.
          },
          "quasiIds": [ # Set of quasi-identifiers indicating how equivalence classes are
              # defined for the l-diversity computation. When multiple fields are
              # specified, they are considered a single composite key.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
        },
        "deltaPresenceEstimationConfig": { # δ-presence metric, used to estimate how likely it is for an attacker to
            # figure out that one given individual appears in a de-identified dataset.
            # Similarly to the k-map metric, we cannot compute δ-presence exactly without
            # knowing the attack dataset, so we use a statistical model instead.
          "regionCode": "A String", # ISO 3166-1 alpha-2 region code to use in the statistical modeling.
              # Required if no column is tagged with a region-specific InfoType (like
              # US_ZIP_5) or a region code.
          "quasiIds": [ # Fields considered to be quasi-identifiers. No two fields can have the
              # same tag. [required]
            { # A column with a semantic tag attached.
              "field": { # General identifier of a data field in a storage service. # Identifies the column. [required]
                "name": "A String", # Name describing the field.
              },
              "customTag": "A String", # A column can be tagged with a custom tag. In this case, the user must
                  # indicate an auxiliary table that contains statistical information on
                  # the possible values of this column (below).
              "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public
                  # dataset as a statistical model of population, if available. We
                  # currently support US ZIP codes, region codes, ages and genders.
                  # To programmatically obtain the list of supported InfoTypes, use
                  # ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
              "inferred": { # A generic empty message that you can re-use to avoid defining duplicated # If no semantic tag is indicated, we infer the statistical model from
                  # the distribution of values in the input data
                  # empty messages in your APIs. A typical example is to use it as the request
                  # or the response type of an API method. For instance:
                  #
                  #     service Foo {
                  #       rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
                  #     }
                  #
                  # The JSON representation for `Empty` is empty JSON object `{}`.
              },
            },
          ],
          "auxiliaryTables": [ # Several auxiliary tables can be used in the analysis. Each custom_tag
              # used to tag a quasi-identifiers field must appear in exactly one
              # field of one auxiliary table.
            { # An auxiliary table containing statistical information on the relative
                # frequency of different quasi-identifiers values. It has one or several
                # quasi-identifiers columns, and one column that indicates the relative
                # frequency of each quasi-identifier tuple.
                # If a tuple is present in the data but not in the auxiliary table, the
                # corresponding relative frequency is assumed to be zero (and thus, the
                # tuple is highly reidentifiable).
              "relativeFrequency": { # General identifier of a data field in a storage service. # The relative frequency column must contain a floating-point number
                  # between 0 and 1 (inclusive). Null values are assumed to be zero.
                  # [required]
                "name": "A String", # Name describing the field.
              },
              "quasiIds": [ # Quasi-identifier columns. [required]
                { # A quasi-identifier column has a custom_tag, used to know which column
                    # in the data corresponds to which column in the statistical model.
                  "field": { # General identifier of a data field in a storage service.
                    "name": "A String", # Name describing the field.
                  },
                  "customTag": "A String",
                },
              ],
              "table": { # Message defining the location of a BigQuery table. A table is uniquely # Auxiliary table location. [required]
                  # identified  by its project_id, dataset_id, and table_name. Within a query
                  # a table is often referenced with a string in the format of:
                  # `<project_id>:<dataset_id>.<table_id>` or
                  # `<project_id>.<dataset_id>.<table_id>`.
                "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                    # If omitted, project ID is inferred from the API call.
                "tableId": "A String", # Name of the table.
                "datasetId": "A String", # Dataset ID of the table.
              },
            },
          ],
        },
        "categoricalStatsConfig": { # Compute numerical stats over an individual column, including
            # number of distinct values and value count distribution.
          "field": { # General identifier of a data field in a storage service. # Field to compute categorical stats on. All column types are
              # supported except for arrays and structs. However, it may be more
              # informative to use NumericalStats when the field type is supported,
              # depending on the data.
            "name": "A String", # Name describing the field.
          },
        },
        "kAnonymityConfig": { # k-anonymity metric, used for analysis of reidentification risk.
          "entityId": { # An entity in a dataset is a field or set of fields that correspond to a # Optional message indicating that multiple rows might be associated to a
              # single individual. If the same entity_id is associated to multiple
              # quasi-identifier tuples over distinct rows, we consider the entire
              # collection of tuples as the composite quasi-identifier. This collection
              # is a multiset: the order in which the different tuples appear in the
              # dataset is ignored, but their frequency is taken into account.
              #
              # Important note: a maximum of 1000 rows can be associated to a single
              # entity ID. If more rows are associated with the same entity ID, some
              # might be ignored.
              # single person. For example, in medical records the `EntityId` might be a
              # patient identifier, or for financial records it might be an account
              # identifier. This message is used when generalizations or analysis must take
              # into account that multiple rows correspond to the same entity.
            "field": { # General identifier of a data field in a storage service. # Composite key indicating which field contains the entity identifier.
              "name": "A String", # Name describing the field.
            },
          },
          "quasiIds": [ # Set of fields to compute k-anonymity over. When multiple fields are
              # specified, they are considered a single composite key. Structs and
              # repeated data types are not supported; however, nested fields are
              # supported so long as they are not structs themselves or nested within
              # a repeated field.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
        },
      },
      "categoricalStatsResult": { # Result of the categorical stats computation.
        "valueFrequencyHistogramBuckets": [ # Histogram of value frequencies in the column.
          {
            "bucketValues": [ # Sample of value frequencies in this bucket. The total number of
                # values returned per bucket is capped at 20.
              { # A value of a field, including its frequency.
                "count": "A String", # How many times the value is contained in the field.
                "value": { # Set of primitive values supported by the system. # A value contained in the field in question.
                    # Note that for the purposes of inspection or transformation, the number
                    # of bytes considered to comprise a 'Value' is based on its representation
                    # as a UTF-8 encoded string. For example, if 'integer_value' is set to
                    # 123456789, the number of bytes would be counted as 9, even though an
                    # int64 only holds up to 8 bytes of data.
                  "floatValue": 3.14,
                  "timestampValue": "A String",
                  "dayOfWeekValue": "A String",
                  "timeValue": { # Represents a time of day. The date and time zone are either not significant
                      # or are specified elsewhere. An API may choose to allow leap seconds. Related
                      # types are google.type.Date and `google.protobuf.Timestamp`.
                    "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                        # to allow the value "24:00:00" for scenarios like business closing time.
                    "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
                    "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                        # allow the value 60 if it allows leap-seconds.
                    "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
                  },
                  "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
                      # and time zone are either specified elsewhere or are not significant. The date
                      # is relative to the Proleptic Gregorian Calendar. This can represent:
                      #
                      # * A full date, with non-zero year, month and day values
                      # * A month and day value, with a zero year, e.g. an anniversary
                      # * A year on its own, with zero month and day values
                      # * A year and month value, with a zero day, e.g. a credit card expiration date
                      #
                      # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
                    "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                        # a year.
                    "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                        # if specifying a year by itself or a year and month where the day is not
                        # significant.
                    "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                        # month and day.
                  },
                  "stringValue": "A String",
                  "booleanValue": True or False,
                  "integerValue": "A String",
                },
              },
            ],
            "bucketValueCount": "A String", # Total number of distinct values in this bucket.
            "valueFrequencyUpperBound": "A String", # Upper bound on the value frequency of the values in this bucket.
            "valueFrequencyLowerBound": "A String", # Lower bound on the value frequency of the values in this bucket.
            "bucketSize": "A String", # Total number of values in this bucket.
          },
        ],
      },
      "deltaPresenceEstimationResult": { # Result of the δ-presence computation. Note that these results are an
          # estimation, not exact values.
        "deltaPresenceEstimationHistogram": [ # The intervals [min_probability, max_probability) do not overlap. If a
            # value doesn't correspond to any such interval, the associated frequency
            # is zero. For example, the following records:
            #   {min_probability: 0, max_probability: 0.1, frequency: 17}
            #   {min_probability: 0.2, max_probability: 0.3, frequency: 42}
            #   {min_probability: 0.3, max_probability: 0.4, frequency: 99}
            # mean that there are no record with an estimated probability in [0.1, 0.2)
            # nor larger or equal to 0.4.
          { # A DeltaPresenceEstimationHistogramBucket message with the following
              # values:
              #   min_probability: 0.1
              #   max_probability: 0.2
              #   frequency: 42
              # means that there are 42 records for which δ is in [0.1, 0.2). An
              # important particular case is when min_probability = max_probability = 1:
              # then, every individual who shares this quasi-identifier combination is in
              # the dataset.
            "bucketValues": [ # Sample of quasi-identifier tuple values in this bucket. The total
                # number of classes returned per bucket is capped at 20.
              { # A tuple of values for the quasi-identifier columns.
                "quasiIdsValues": [ # The quasi-identifier values.
                  { # Set of primitive values supported by the system.
                      # Note that for the purposes of inspection or transformation, the number
                      # of bytes considered to comprise a 'Value' is based on its representation
                      # as a UTF-8 encoded string. For example, if 'integer_value' is set to
                      # 123456789, the number of bytes would be counted as 9, even though an
                      # int64 only holds up to 8 bytes of data.
                    "floatValue": 3.14,
                    "timestampValue": "A String",
                    "dayOfWeekValue": "A String",
                    "timeValue": { # Represents a time of day. The date and time zone are either not significant
                        # or are specified elsewhere. An API may choose to allow leap seconds. Related
                        # types are google.type.Date and `google.protobuf.Timestamp`.
                      "hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose
                          # to allow the value "24:00:00" for scenarios like business closing time.
                      "nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
                      "seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may
                          # allow the value 60 if it allows leap-seconds.
                      "minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
                    },
                    "dateValue": { # Represents a whole or partial calendar date, e.g. a birthday. The time of day
                        # and time zone are either specified elsewhere or are not significant. The date
                        # is relative to the Proleptic Gregorian Calendar. This can represent:
                        #
                        # * A full date, with non-zero year, month and day values
                        # * A month and day value, with a zero year, e.g. an anniversary
                        # * A year on its own, with zero month and day values
                        # * A year and month value, with a zero day, e.g. a credit card expiration date
                        #
                        # Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.
                      "year": 42, # Year of date. Must be from 1 to 9999, or 0 if specifying a date without
                          # a year.
                      "day": 42, # Day of month. Must be from 1 to 31 and valid for the year and month, or 0
                          # if specifying a year by itself or a year and month where the day is not
                          # significant.
                      "month": 42, # Month of year. Must be from 1 to 12, or 0 if specifying a year without a
                          # month and day.
                    },
                    "stringValue": "A String",
                    "booleanValue": True or False,
                    "integerValue": "A String",
                  },
                ],
                "estimatedProbability": 3.14, # The estimated probability that a given individual sharing these
                    # quasi-identifier values is in the dataset. This value, typically called
                    # δ, is the ratio between the number of records in the dataset with these
                    # quasi-identifier values, and the total number of individuals (inside
                    # *and* outside the dataset) with these quasi-identifier values.
                    # For example, if there are 15 individuals in the dataset who share the
                    # same quasi-identifier values, and an estimated 100 people in the entire
                    # population with these values, then δ is 0.15.
              },
            ],
            "bucketValueCount": "A String", # Total number of distinct quasi-identifier tuple values in this bucket.
            "bucketSize": "A String", # Number of records within these probability bounds.
            "maxProbability": 3.14, # Always greater than or equal to min_probability.
            "minProbability": 3.14, # Between 0 and 1.
          },
        ],
      },
      "requestedSourceTable": { # Message defining the location of a BigQuery table. A table is uniquely # Input dataset to compute metrics over.
          # identified  by its project_id, dataset_id, and table_name. Within a query
          # a table is often referenced with a string in the format of:
          # `<project_id>:<dataset_id>.<table_id>` or
          # `<project_id>.<dataset_id>.<table_id>`.
        "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
            # If omitted, project ID is inferred from the API call.
        "tableId": "A String", # Name of the table.
        "datasetId": "A String", # Dataset ID of the table.
      },
    },
    "state": "A String", # State of a job.
    "jobTriggerName": "A String", # If created by a job trigger, the resource name of the trigger that
        # instantiated the job.
    "startTime": "A String", # Time when the job started.
    "endTime": "A String", # Time when the job finished.
    "type": "A String", # The type of job.
    "createTime": "A String", # Time when the job was created.
  }</pre>
</div>

<div class="method">
    <code class="details" id="create">create(parent, body, x__xgafv=None)</code>
  <pre>Creates a job trigger to run DLP actions such as scanning storage for
sensitive information on a set schedule.
See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.

Args:
  parent: string, The parent resource name, for example projects/my-project-id. (required)
  body: object, The request body. (required)
    The object takes the form of:

{ # Request message for CreateJobTrigger.
    "triggerId": "A String", # The trigger id can contain uppercase and lowercase letters,
        # numbers, and hyphens; that is, it must match the regular
        # expression: `[a-zA-Z\\d-_]+`. The maximum length is 100
        # characters. Can be empty to allow the system to generate one.
    "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. # The JobTrigger to create.
        # See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more.
      "status": "A String", # A status for this trigger. [required]
      "updateTime": "A String", # The last update timestamp of a triggeredJob, output only field.
      "errors": [ # A stream of errors encountered when the trigger was activated. Repeated
          # errors may result in the JobTrigger automatically being paused.
          # Will return the last 100 errors. Whenever the JobTrigger is modified
          # this list will be cleared. Output only field.
        { # Details information about an error encountered during job execution or
            # the results of an unsuccessful activation of the JobTrigger.
            # Output only field.
          "timestamps": [ # The times the error occurred.
            "A String",
          ],
          "details": { # The `Status` type defines a logical error model that is suitable for
              # different programming environments, including REST APIs and RPC APIs. It is
              # used by [gRPC](https://github.com/grpc). Each `Status` message contains
              # three pieces of data: error code, error message, and error details.
              #
              # You can find out more about this error model and how to work with it in the
              # [API Design Guide](https://cloud.google.com/apis/design/errors).
            "message": "A String", # A developer-facing error message, which should be in English. Any
                # user-facing error message should be localized and sent in the
                # google.rpc.Status.details field, or localized by the client.
            "code": 42, # The status code, which should be an enum value of google.rpc.Code.
            "details": [ # A list of messages that carry the error details.  There is a common set of
                # message types for APIs to use.
              {
                "a_key": "", # Properties of the object. Contains field @type with type URL.
              },
            ],
          },
        },
      ],
      "displayName": "A String", # Display name (max 100 chars)
      "description": "A String", # User provided description (max 256 chars)
      "inspectJob": {
        "storageConfig": { # Shared message indicating Cloud storage type. # The data to scan.
          "datastoreOptions": { # Options defining a data set within Google Cloud Datastore. # Google Cloud Datastore options specification.
            "partitionId": { # Datastore partition ID. # A partition ID identifies a grouping of entities. The grouping is always
                # by project and namespace, however the namespace ID may be empty.
                # A partition ID identifies a grouping of entities. The grouping is always
                # by project and namespace, however the namespace ID may be empty.
                #
                # A partition ID contains several dimensions:
                # project ID and namespace ID.
              "projectId": "A String", # The ID of the project to which the entities belong.
              "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
            },
            "kind": { # A representation of a Datastore kind. # The kind to process.
              "name": "A String", # The name of the kind.
            },
          },
          "bigQueryOptions": { # Options defining BigQuery table and row identifiers. # BigQuery options specification.
            "excludedFields": [ # References to fields excluded from scanning. This allows you to skip
                # inspection of entire columns which you know have no findings.
              { # General identifier of a data field in a storage service.
                "name": "A String", # Name describing the field.
              },
            ],
            "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the
                # rest of the rows are omitted. If not set, or if set to 0, all rows will be
                # scanned. Only one of rows_limit and rows_limit_percent can be specified.
                # Cannot be used in conjunction with TimespanConfig.
            "sampleMethod": "A String",
            "identifyingFields": [ # References to fields uniquely identifying rows within the table.
                # Nested fields in the format, like `person.birthdate.year`, are allowed.
              { # General identifier of a data field in a storage service.
                "name": "A String", # Name describing the field.
              },
            ],
            "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows
                # scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and
                # 100 means no limit. Defaults to 0. Only one of rows_limit and
                # rows_limit_percent can be specified. Cannot be used in conjunction with
                # TimespanConfig.
            "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely # Complete BigQuery table reference.
                # identified  by its project_id, dataset_id, and table_name. Within a query
                # a table is often referenced with a string in the format of:
                # `<project_id>:<dataset_id>.<table_id>` or
                # `<project_id>.<dataset_id>.<table_id>`.
              "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                  # If omitted, project ID is inferred from the API call.
              "tableId": "A String", # Name of the table.
              "datasetId": "A String", # Dataset ID of the table.
            },
          },
          "timespanConfig": { # Configuration of the timespan of the items to include in scanning.
              # Currently only supported when inspecting Google Cloud Storage and BigQuery.
            "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items.
                # Used for data sources like Datastore or BigQuery.
                # If not specified for BigQuery, table last modification timestamp
                # is checked against given time span.
                # The valid data types of the timestamp field are:
                # for BigQuery - timestamp, date, datetime;
                # for Datastore - timestamp.
                # Datastore entity will be scanned if the timestamp property does not exist
                # or its value is empty or invalid.
              "name": "A String", # Name describing the field.
            },
            "endTime": "A String", # Exclude files or rows newer than this value.
                # If set to zero, no upper time limit is applied.
            "startTime": "A String", # Exclude files or rows older than this value.
            "enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out
                # a valid start_time to avoid scanning files that have not been modified
                # since the last time the JobTrigger executed. This will be based on the
                # time of the execution of the last run of the JobTrigger.
          },
          "cloudStorageOptions": { # Options defining a file or a set of files within a Google Cloud Storage # Google Cloud Storage options specification.
              # bucket.
            "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger
                # than this value then the rest of the bytes are omitted. Only one
                # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
            "sampleMethod": "A String",
            "fileSet": { # Set of files to scan. # The set of one or more files to scan.
              "url": "A String", # The Cloud Storage url of the file(s) to scan, in the format
                  # `gs://<bucket>/<path>`. Trailing wildcard in the path is allowed.
                  #
                  # If the url ends in a trailing slash, the bucket or directory represented
                  # by the url will be scanned non-recursively (content in sub-directories
                  # will not be scanned). This means that `gs://mybucket/` is equivalent to
                  # `gs://mybucket/*`, and `gs://mybucket/directory/` is equivalent to
                  # `gs://mybucket/directory/*`.
                  #
                  # Exactly one of `url` or `regex_file_set` must be set.
              "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular # The regex-filtered set of files to scan. Exactly one of `url` or
                  # `regex_file_set` must be set.
                  # expressions are used to allow fine-grained control over which files in the
                  # bucket to include.
                  #
                  # Included files are those that match at least one item in `include_regex` and
                  # do not match any items in `exclude_regex`. Note that a file that matches
                  # items from both lists will _not_ be included. For a match to occur, the
                  # entire file path (i.e., everything in the url after the bucket name) must
                  # match the regular expression.
                  #
                  # For example, given the input `{bucket_name: "mybucket", include_regex:
                  # ["directory1/.*"], exclude_regex:
                  # ["directory1/excluded.*"]}`:
                  #
                  # * `gs://mybucket/directory1/myfile` will be included
                  # * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches
                  # across `/`)
                  # * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the
                  # full path doesn't match any items in `include_regex`)
                  # * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path
                  # matches an item in `exclude_regex`)
                  #
                  # If `include_regex` is left empty, it will match all files by default
                  # (this is equivalent to setting `include_regex: [".*"]`).
                  #
                  # Some other common use cases:
                  #
                  # * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all
                  # files in `mybucket` except for .pdf files
                  # * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will
                  # include all files directly under `gs://mybucket/directory/`, without matching
                  # across `/`
                "excludeRegex": [ # A list of regular expressions matching file paths to exclude. All files in
                    # the bucket that match at least one of these regular expressions will be
                    # excluded from the scan.
                    #
                    # Regular expressions use RE2
                    # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                    # under the google/re2 repository on GitHub.
                  "A String",
                ],
                "bucketName": "A String", # The name of a Cloud Storage bucket. Required.
                "includeRegex": [ # A list of regular expressions matching file paths to include. All files in
                    # the bucket that match at least one of these regular expressions will be
                    # included in the set of files, except for those that also match an item in
                    # `exclude_regex`. Leaving this field empty will match all files by default
                    # (this is equivalent to including `.*` in the list).
                    #
                    # Regular expressions use RE2
                    # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                    # under the google/re2 repository on GitHub.
                  "A String",
                ],
              },
            },
            "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The
                # number of bytes scanned is rounded down. Must be between 0 and 100,
                # inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one
                # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
            "filesLimitPercent": 42, # Limits the number of files to scan to this percentage of the input FileSet.
                # Number of files scanned is rounded down. Must be between 0 and 100,
                # inclusively. Both 0 and 100 means no limit. Defaults to 0.
            "fileTypes": [ # List of file type groups to include in the scan.
                # If empty, all files are scanned and available data format processors
                # are applied. In addition, the binary content of the selected files
                # is always scanned as well.
              "A String",
            ],
          },
        },
        "inspectConfig": { # Configuration description of the scanning process. # How and what to scan for.
            # When used with redactContent only info_types and min_likelihood are currently
            # used.
          "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
          "limits": {
            "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
                # When set within `InspectContentRequest`, the maximum returned is 2000
                # regardless if this is set higher.
            "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
              { # Max findings configuration per infoType, per content item or long
                  # running DlpJob.
                "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                    # info_type should be provided. If InfoTypeLimit does not have an
                    # info_type, the DLP API applies the limit against all info_types that
                    # are found but not specified in another InfoTypeLimit.
                  "name": "A String", # Name of the information type. Either a name of your choosing when
                      # creating a CustomInfoType, or one of the names listed
                      # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                      # a built-in type. InfoType names should conform to the pattern
                      # [a-zA-Z0-9_]{1,64}.
                },
                "maxFindings": 42, # Max findings limit for the given infoType.
              },
            ],
            "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
                # When set within `InspectDataSourceRequest`,
                # the maximum returned is 2000 regardless if this is set higher.
                # When set within `InspectContentRequest`, this field is ignored.
          },
          "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
              # POSSIBLE.
              # See https://cloud.google.com/dlp/docs/likelihood to learn more.
          "customInfoTypes": [ # CustomInfoTypes provided by the user. See
              # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
            { # Custom information type provided by the user. Used to find domain-specific
                # sensitive information configurable to the data in question.
              "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
                "pattern": "A String", # Pattern defining the regular expression. Its syntax
                    # (https://github.com/google/re2/wiki/Syntax) can be found under the
                    # google/re2 repository on GitHub.
                "groupIndexes": [ # The index of the submatch to extract as findings. When not
                    # specified, the entire match is returned. No more than 3 may be included.
                  42,
                ],
              },
              "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                  # support reversing.
                  # such as
                  # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                  # These types of transformations are
                  # those that perform pseudonymization, thereby producing a "surrogate" as
                  # output. This should be used in conjunction with a field on the
                  # transformation such as `surrogate_info_type`. This CustomInfoType does
                  # not support the use of `detection_rules`.
              },
              "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                  # infoType, when the name matches one of existing infoTypes and that infoType
                  # is specified in `InspectContent.info_types` field. Specifying the latter
                  # adds findings to the one detected by the system. If built-in info type is
                  # not specified in `InspectContent.info_types` list then the name is treated
                  # as a custom info type.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
              "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                  # be used to match sensitive information specific to the data, such as a list
                  # of employee IDs or job titles.
                  #
                  # Dictionary words are case-insensitive and all characters other than letters
                  # and digits in the unicode [Basic Multilingual
                  # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                  # will be replaced with whitespace when scanning for matches, so the
                  # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                  # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                  # surrounding any match must be of a different type than the adjacent
                  # characters within the word, so letters must be next to non-letters and
                  # digits next to non-digits. For example, the dictionary word "jen" will
                  # match the first three letters of the text "jen123" but will return no
                  # matches for "jennifer".
                  #
                  # Dictionary words containing a large number of characters that are not
                  # letters or digits may result in unexpected findings because such characters
                  # are treated as whitespace. The
                  # [limits](https://cloud.google.com/dlp/limits) page contains details about
                  # the size limits of dictionaries. For dictionaries that do not fit within
                  # these constraints, consider using `LargeCustomDictionaryConfig` in the
                  # `StoredInfoType` API.
                "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                  "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                      # at least one phrase and every phrase must contain at least 2 characters
                      # that are letters or digits. [required]
                    "A String",
                  ],
                },
                "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                    # is accepted.
                  "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                      # Example: gs://[BUCKET_NAME]/dictionary.txt
                },
              },
              "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                  # `InspectDataSource`. Not currently supported in `InspectContent`.
                "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                    # `organizations/433245324/storedInfoTypes/432452342` or
                    # `projects/project-id/storedInfoTypes/432452342`.
                "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                    # inspection was created. Output-only field, populated by the system.
              },
              "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                  # Rules are applied in order that they are specified. Not supported for the
                  # `surrogate_type` CustomInfoType.
                { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                    # `CustomInfoType` to alter behavior under certain circumstances, depending
                    # on the specific details of the rule. Not supported for the `surrogate_type`
                    # custom infoType.
                  "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                      # proximity of hotwords.
                    "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                        # The total length of the window cannot exceed 1000 characters. Note that
                        # the finding itself will be included in the window, so that hotwords may
                        # be used to match substrings of the finding itself. For example, the
                        # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                        # adjusted upwards if the area code is known to be the local area code of
                        # a company office using the hotword regex "\(xxx\)", where "xxx"
                        # is the area code in question.
                        # rule.
                      "windowAfter": 42, # Number of characters after the finding to consider.
                      "windowBefore": 42, # Number of characters before the finding to consider.
                    },
                    "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                      "pattern": "A String", # Pattern defining the regular expression. Its syntax
                          # (https://github.com/google/re2/wiki/Syntax) can be found under the
                          # google/re2 repository on GitHub.
                      "groupIndexes": [ # The index of the submatch to extract as findings. When not
                          # specified, the entire match is returned. No more than 3 may be included.
                        42,
                      ],
                    },
                    "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                        # part of a detection rule.
                      "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                          # levels. For example, if a finding would be `POSSIBLE` without the
                          # detection rule and `relative_likelihood` is 1, then it is upgraded to
                          # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                          # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                          # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                          # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                          # a final likelihood of `LIKELY`.
                      "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                    },
                  },
                },
              ],
              "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                  # to be returned. It still can be used for rules matching.
              "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                  # altered by a detection rule if the finding meets the criteria specified by
                  # the rule. Defaults to `VERY_LIKELY` if not specified.
            },
          ],
          "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
              # included in the response; see Finding.quote.
          "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
              # Exclusion rules, contained in the set are executed in the end, other
              # rules are executed in the order they are specified for each info type.
            { # Rule set for modifying a set of infoTypes to alter behavior under certain
                # circumstances, depending on the specific details of the rules within the set.
              "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
                { # A single inspection rule to be applied to infoTypes, specified in
                    # `InspectionRuleSet`.
                  "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                      # proximity of hotwords.
                    "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                        # The total length of the window cannot exceed 1000 characters. Note that
                        # the finding itself will be included in the window, so that hotwords may
                        # be used to match substrings of the finding itself. For example, the
                        # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                        # adjusted upwards if the area code is known to be the local area code of
                        # a company office using the hotword regex "\(xxx\)", where "xxx"
                        # is the area code in question.
                        # rule.
                      "windowAfter": 42, # Number of characters after the finding to consider.
                      "windowBefore": 42, # Number of characters before the finding to consider.
                    },
                    "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                      "pattern": "A String", # Pattern defining the regular expression. Its syntax
                          # (https://github.com/google/re2/wiki/Syntax) can be found under the
                          # google/re2 repository on GitHub.
                      "groupIndexes": [ # The index of the submatch to extract as findings. When not
                          # specified, the entire match is returned. No more than 3 may be included.
                        42,
                      ],
                    },
                    "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                        # part of a detection rule.
                      "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                          # levels. For example, if a finding would be `POSSIBLE` without the
                          # detection rule and `relative_likelihood` is 1, then it is upgraded to
                          # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                          # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                          # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                          # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                          # a final likelihood of `LIKELY`.
                      "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                    },
                  },
                  "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                      # `InspectionRuleSet` are removed from results.
                    "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                      "pattern": "A String", # Pattern defining the regular expression. Its syntax
                          # (https://github.com/google/re2/wiki/Syntax) can be found under the
                          # google/re2 repository on GitHub.
                      "groupIndexes": [ # The index of the submatch to extract as findings. When not
                          # specified, the entire match is returned. No more than 3 may be included.
                        42,
                      ],
                    },
                    "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                      "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                          # contained within with a finding of an infoType from this list. For
                          # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                          # `exclusion_rule` containing `exclude_info_types.info_types` with
                          # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                          # with EMAIL_ADDRESS finding.
                          # That leads to "555-222-2222@example.org" to generate only a single
                          # finding, namely email address.
                        { # Type of information detected by the API.
                          "name": "A String", # Name of the information type. Either a name of your choosing when
                              # creating a CustomInfoType, or one of the names listed
                              # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                              # a built-in type. InfoType names should conform to the pattern
                              # [a-zA-Z0-9_]{1,64}.
                        },
                      ],
                    },
                    "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                        # be used to match sensitive information specific to the data, such as a list
                        # of employee IDs or job titles.
                        #
                        # Dictionary words are case-insensitive and all characters other than letters
                        # and digits in the unicode [Basic Multilingual
                        # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                        # will be replaced with whitespace when scanning for matches, so the
                        # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                        # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                        # surrounding any match must be of a different type than the adjacent
                        # characters within the word, so letters must be next to non-letters and
                        # digits next to non-digits. For example, the dictionary word "jen" will
                        # match the first three letters of the text "jen123" but will return no
                        # matches for "jennifer".
                        #
                        # Dictionary words containing a large number of characters that are not
                        # letters or digits may result in unexpected findings because such characters
                        # are treated as whitespace. The
                        # [limits](https://cloud.google.com/dlp/limits) page contains details about
                        # the size limits of dictionaries. For dictionaries that do not fit within
                        # these constraints, consider using `LargeCustomDictionaryConfig` in the
                        # `StoredInfoType` API.
                      "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                        "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                            # at least one phrase and every phrase must contain at least 2 characters
                            # that are letters or digits. [required]
                          "A String",
                        ],
                      },
                      "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                          # is accepted.
                        "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                            # Example: gs://[BUCKET_NAME]/dictionary.txt
                      },
                    },
                    "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                  },
                },
              ],
              "infoTypes": [ # List of infoTypes this rule set is applied to.
                { # Type of information detected by the API.
                  "name": "A String", # Name of the information type. Either a name of your choosing when
                      # creating a CustomInfoType, or one of the names listed
                      # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                      # a built-in type. InfoType names should conform to the pattern
                      # [a-zA-Z0-9_]{1,64}.
                },
              ],
            },
          ],
          "contentOptions": [ # List of options defining data content to scan.
              # If empty, text, images, and other content will be included.
            "A String",
          ],
          "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
              # InfoType values returned by ListInfoTypes or listed at
              # https://cloud.google.com/dlp/docs/infotypes-reference.
              #
              # When no InfoTypes or CustomInfoTypes are specified in a request, the
              # system may automatically choose what detectors to run. By default this may
              # be all types, but may change over time as detectors are updated.
              #
              # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
              # but may change over time as new InfoTypes are added. If you need precise
              # control and predictability as to what detectors are run you should specify
              # specific InfoTypes listed in the reference.
            { # Type of information detected by the API.
              "name": "A String", # Name of the information type. Either a name of your choosing when
                  # creating a CustomInfoType, or one of the names listed
                  # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                  # a built-in type. InfoType names should conform to the pattern
                  # [a-zA-Z0-9_]{1,64}.
            },
          ],
        },
        "inspectTemplateName": "A String", # If provided, will be used as the default for all values in InspectConfig.
            # `inspect_config` will be merged into the values persisted as part of the
            # template.
        "actions": [ # Actions to execute at the completion of the job.
          { # A task to execute on the completion of a job.
              # See https://cloud.google.com/dlp/docs/concepts-actions to learn more.
            "saveFindings": { # If set, the detailed findings will be persisted to the specified # Save resulting findings in a provided location.
                # OutputStorageConfig. Only a single instance of this action can be
                # specified.
                # Compatible with: Inspect, Risk
              "outputConfig": { # Cloud repository for storing output.
                "table": { # Message defining the location of a BigQuery table. A table is uniquely # Store findings in an existing table or a new table in an existing
                    # dataset. If table_id is not set a new one will be generated
                    # for you with the following format:
                    # dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
                    # generating the date details.
                    #
                    # For Inspect, each column in an existing output table must have the same
                    # name, type, and mode of a field in the `Finding` object.
                    #
                    # For Risk, an existing output table should be the output of a previous
                    # Risk analysis job run on the same source table, with the same privacy
                    # metric and quasi-identifiers. Risk jobs that analyze the same table but
                    # compute a different privacy metric, or use different sets of
                    # quasi-identifiers, cannot store their results in the same table.
                    # identified  by its project_id, dataset_id, and table_name. Within a query
                    # a table is often referenced with a string in the format of:
                    # `<project_id>:<dataset_id>.<table_id>` or
                    # `<project_id>.<dataset_id>.<table_id>`.
                  "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                      # If omitted, project ID is inferred from the API call.
                  "tableId": "A String", # Name of the table.
                  "datasetId": "A String", # Dataset ID of the table.
                },
                "outputSchema": "A String", # Schema used for writing the findings for Inspect jobs. This field is only
                    # used for Inspect and must be unspecified for Risk jobs. Columns are derived
                    # from the `Finding` object. If appending to an existing table, any columns
                    # from the predefined schema that are missing will be added. No columns in
                    # the existing table will be deleted.
                    #
                    # If unspecified, then all available columns will be used for a new table or
                    # an (existing) table with no schema, and no changes will be made to an
                    # existing table that has a schema.
              },
            },
            "jobNotificationEmails": { # Enable email notification to project owners and editors on jobs's # Enable email notification to project owners and editors on job's
                # completion/failure.
                # completion/failure.
            },
            "publishSummaryToCscc": { # Publish the result summary of a DlpJob to the Cloud Security # Publish summary to Cloud Security Command Center (Alpha).
                # Command Center (CSCC Alpha).
                # This action is only available for projects which are parts of
                # an organization and whitelisted for the alpha Cloud Security Command
                # Center.
                # The action will publish count of finding instances and their info types.
                # The summary of findings will be persisted in CSCC and are governed by CSCC
                # service-specific policy, see https://cloud.google.com/terms/service-terms
                # Only a single instance of this action can be specified.
                # Compatible with: Inspect
            },
            "pubSub": { # Publish a message into given Pub/Sub topic when DlpJob has completed. The # Publish a notification to a pubsub topic.
                # message contains a single field, `DlpJobName`, which is equal to the
                # finished job's
                # [`DlpJob.name`](/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob).
                # Compatible with: Inspect, Risk
              "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given
                  # publishing access rights to the DLP API service account executing
                  # the long running DlpJob sending the notifications.
                  # Format is projects/{project}/topics/{topic}.
            },
          },
        ],
      },
      "triggers": [ # A list of triggers which will be OR'ed together. Only one in the list
          # needs to trigger for a job to be started. The list may contain only
          # a single Schedule trigger and must have at least one object.
        { # What event needs to occur for a new job to be started.
          "schedule": { # Schedule for triggeredJobs. # Create a job on a repeating basis based on the elapse of time.
            "recurrencePeriodDuration": "A String", # With this option a job is started a regular periodic basis. For
                # example: every day (86400 seconds).
                #
                # A scheduled start time will be skipped if the previous
                # execution has not ended when its scheduled time occurs.
                #
                # This value must be set to a time duration greater than or equal
                # to 1 day and can be no longer than 60 days.
          },
        },
      ],
      "lastRunTime": "A String", # The timestamp of the last time this trigger executed, output only field.
      "createTime": "A String", # The creation timestamp of a triggeredJob, output only field.
      "name": "A String", # Unique resource name for the triggeredJob, assigned by the service when the
          # triggeredJob is created, for example
          # `projects/dlp-test-project/triggeredJobs/53234423`.
    },
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Contains a configuration to make dlp api calls on a repeating basis.
      # See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more.
    "status": "A String", # A status for this trigger. [required]
    "updateTime": "A String", # The last update timestamp of a triggeredJob, output only field.
    "errors": [ # A stream of errors encountered when the trigger was activated. Repeated
        # errors may result in the JobTrigger automatically being paused.
        # Will return the last 100 errors. Whenever the JobTrigger is modified
        # this list will be cleared. Output only field.
      { # Details information about an error encountered during job execution or
          # the results of an unsuccessful activation of the JobTrigger.
          # Output only field.
        "timestamps": [ # The times the error occurred.
          "A String",
        ],
        "details": { # The `Status` type defines a logical error model that is suitable for
            # different programming environments, including REST APIs and RPC APIs. It is
            # used by [gRPC](https://github.com/grpc). Each `Status` message contains
            # three pieces of data: error code, error message, and error details.
            #
            # You can find out more about this error model and how to work with it in the
            # [API Design Guide](https://cloud.google.com/apis/design/errors).
          "message": "A String", # A developer-facing error message, which should be in English. Any
              # user-facing error message should be localized and sent in the
              # google.rpc.Status.details field, or localized by the client.
          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
          "details": [ # A list of messages that carry the error details.  There is a common set of
              # message types for APIs to use.
            {
              "a_key": "", # Properties of the object. Contains field @type with type URL.
            },
          ],
        },
      },
    ],
    "displayName": "A String", # Display name (max 100 chars)
    "description": "A String", # User provided description (max 256 chars)
    "inspectJob": {
      "storageConfig": { # Shared message indicating Cloud storage type. # The data to scan.
        "datastoreOptions": { # Options defining a data set within Google Cloud Datastore. # Google Cloud Datastore options specification.
          "partitionId": { # Datastore partition ID. # A partition ID identifies a grouping of entities. The grouping is always
              # by project and namespace, however the namespace ID may be empty.
              # A partition ID identifies a grouping of entities. The grouping is always
              # by project and namespace, however the namespace ID may be empty.
              #
              # A partition ID contains several dimensions:
              # project ID and namespace ID.
            "projectId": "A String", # The ID of the project to which the entities belong.
            "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
          },
          "kind": { # A representation of a Datastore kind. # The kind to process.
            "name": "A String", # The name of the kind.
          },
        },
        "bigQueryOptions": { # Options defining BigQuery table and row identifiers. # BigQuery options specification.
          "excludedFields": [ # References to fields excluded from scanning. This allows you to skip
              # inspection of entire columns which you know have no findings.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
          "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the
              # rest of the rows are omitted. If not set, or if set to 0, all rows will be
              # scanned. Only one of rows_limit and rows_limit_percent can be specified.
              # Cannot be used in conjunction with TimespanConfig.
          "sampleMethod": "A String",
          "identifyingFields": [ # References to fields uniquely identifying rows within the table.
              # Nested fields in the format, like `person.birthdate.year`, are allowed.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
          "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows
              # scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and
              # 100 means no limit. Defaults to 0. Only one of rows_limit and
              # rows_limit_percent can be specified. Cannot be used in conjunction with
              # TimespanConfig.
          "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely # Complete BigQuery table reference.
              # identified  by its project_id, dataset_id, and table_name. Within a query
              # a table is often referenced with a string in the format of:
              # `<project_id>:<dataset_id>.<table_id>` or
              # `<project_id>.<dataset_id>.<table_id>`.
            "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                # If omitted, project ID is inferred from the API call.
            "tableId": "A String", # Name of the table.
            "datasetId": "A String", # Dataset ID of the table.
          },
        },
        "timespanConfig": { # Configuration of the timespan of the items to include in scanning.
            # Currently only supported when inspecting Google Cloud Storage and BigQuery.
          "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items.
              # Used for data sources like Datastore or BigQuery.
              # If not specified for BigQuery, table last modification timestamp
              # is checked against given time span.
              # The valid data types of the timestamp field are:
              # for BigQuery - timestamp, date, datetime;
              # for Datastore - timestamp.
              # Datastore entity will be scanned if the timestamp property does not exist
              # or its value is empty or invalid.
            "name": "A String", # Name describing the field.
          },
          "endTime": "A String", # Exclude files or rows newer than this value.
              # If set to zero, no upper time limit is applied.
          "startTime": "A String", # Exclude files or rows older than this value.
          "enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out
              # a valid start_time to avoid scanning files that have not been modified
              # since the last time the JobTrigger executed. This will be based on the
              # time of the execution of the last run of the JobTrigger.
        },
        "cloudStorageOptions": { # Options defining a file or a set of files within a Google Cloud Storage # Google Cloud Storage options specification.
            # bucket.
          "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger
              # than this value then the rest of the bytes are omitted. Only one
              # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
          "sampleMethod": "A String",
          "fileSet": { # Set of files to scan. # The set of one or more files to scan.
            "url": "A String", # The Cloud Storage url of the file(s) to scan, in the format
                # `gs://<bucket>/<path>`. Trailing wildcard in the path is allowed.
                #
                # If the url ends in a trailing slash, the bucket or directory represented
                # by the url will be scanned non-recursively (content in sub-directories
                # will not be scanned). This means that `gs://mybucket/` is equivalent to
                # `gs://mybucket/*`, and `gs://mybucket/directory/` is equivalent to
                # `gs://mybucket/directory/*`.
                #
                # Exactly one of `url` or `regex_file_set` must be set.
            "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular # The regex-filtered set of files to scan. Exactly one of `url` or
                # `regex_file_set` must be set.
                # expressions are used to allow fine-grained control over which files in the
                # bucket to include.
                #
                # Included files are those that match at least one item in `include_regex` and
                # do not match any items in `exclude_regex`. Note that a file that matches
                # items from both lists will _not_ be included. For a match to occur, the
                # entire file path (i.e., everything in the url after the bucket name) must
                # match the regular expression.
                #
                # For example, given the input `{bucket_name: "mybucket", include_regex:
                # ["directory1/.*"], exclude_regex:
                # ["directory1/excluded.*"]}`:
                #
                # * `gs://mybucket/directory1/myfile` will be included
                # * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches
                # across `/`)
                # * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the
                # full path doesn't match any items in `include_regex`)
                # * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path
                # matches an item in `exclude_regex`)
                #
                # If `include_regex` is left empty, it will match all files by default
                # (this is equivalent to setting `include_regex: [".*"]`).
                #
                # Some other common use cases:
                #
                # * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all
                # files in `mybucket` except for .pdf files
                # * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will
                # include all files directly under `gs://mybucket/directory/`, without matching
                # across `/`
              "excludeRegex": [ # A list of regular expressions matching file paths to exclude. All files in
                  # the bucket that match at least one of these regular expressions will be
                  # excluded from the scan.
                  #
                  # Regular expressions use RE2
                  # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                  # under the google/re2 repository on GitHub.
                "A String",
              ],
              "bucketName": "A String", # The name of a Cloud Storage bucket. Required.
              "includeRegex": [ # A list of regular expressions matching file paths to include. All files in
                  # the bucket that match at least one of these regular expressions will be
                  # included in the set of files, except for those that also match an item in
                  # `exclude_regex`. Leaving this field empty will match all files by default
                  # (this is equivalent to including `.*` in the list).
                  #
                  # Regular expressions use RE2
                  # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                  # under the google/re2 repository on GitHub.
                "A String",
              ],
            },
          },
          "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The
              # number of bytes scanned is rounded down. Must be between 0 and 100,
              # inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one
              # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
          "filesLimitPercent": 42, # Limits the number of files to scan to this percentage of the input FileSet.
              # Number of files scanned is rounded down. Must be between 0 and 100,
              # inclusively. Both 0 and 100 means no limit. Defaults to 0.
          "fileTypes": [ # List of file type groups to include in the scan.
              # If empty, all files are scanned and available data format processors
              # are applied. In addition, the binary content of the selected files
              # is always scanned as well.
            "A String",
          ],
        },
      },
      "inspectConfig": { # Configuration description of the scanning process. # How and what to scan for.
          # When used with redactContent only info_types and min_likelihood are currently
          # used.
        "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
        "limits": {
          "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
              # When set within `InspectContentRequest`, the maximum returned is 2000
              # regardless if this is set higher.
          "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
            { # Max findings configuration per infoType, per content item or long
                # running DlpJob.
              "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                  # info_type should be provided. If InfoTypeLimit does not have an
                  # info_type, the DLP API applies the limit against all info_types that
                  # are found but not specified in another InfoTypeLimit.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
              "maxFindings": 42, # Max findings limit for the given infoType.
            },
          ],
          "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
              # When set within `InspectDataSourceRequest`,
              # the maximum returned is 2000 regardless if this is set higher.
              # When set within `InspectContentRequest`, this field is ignored.
        },
        "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
            # POSSIBLE.
            # See https://cloud.google.com/dlp/docs/likelihood to learn more.
        "customInfoTypes": [ # CustomInfoTypes provided by the user. See
            # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
          { # Custom information type provided by the user. Used to find domain-specific
              # sensitive information configurable to the data in question.
            "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
              "pattern": "A String", # Pattern defining the regular expression. Its syntax
                  # (https://github.com/google/re2/wiki/Syntax) can be found under the
                  # google/re2 repository on GitHub.
              "groupIndexes": [ # The index of the submatch to extract as findings. When not
                  # specified, the entire match is returned. No more than 3 may be included.
                42,
              ],
            },
            "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                # support reversing.
                # such as
                # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                # These types of transformations are
                # those that perform pseudonymization, thereby producing a "surrogate" as
                # output. This should be used in conjunction with a field on the
                # transformation such as `surrogate_info_type`. This CustomInfoType does
                # not support the use of `detection_rules`.
            },
            "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                # infoType, when the name matches one of existing infoTypes and that infoType
                # is specified in `InspectContent.info_types` field. Specifying the latter
                # adds findings to the one detected by the system. If built-in info type is
                # not specified in `InspectContent.info_types` list then the name is treated
                # as a custom info type.
              "name": "A String", # Name of the information type. Either a name of your choosing when
                  # creating a CustomInfoType, or one of the names listed
                  # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                  # a built-in type. InfoType names should conform to the pattern
                  # [a-zA-Z0-9_]{1,64}.
            },
            "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                # be used to match sensitive information specific to the data, such as a list
                # of employee IDs or job titles.
                #
                # Dictionary words are case-insensitive and all characters other than letters
                # and digits in the unicode [Basic Multilingual
                # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                # will be replaced with whitespace when scanning for matches, so the
                # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                # surrounding any match must be of a different type than the adjacent
                # characters within the word, so letters must be next to non-letters and
                # digits next to non-digits. For example, the dictionary word "jen" will
                # match the first three letters of the text "jen123" but will return no
                # matches for "jennifer".
                #
                # Dictionary words containing a large number of characters that are not
                # letters or digits may result in unexpected findings because such characters
                # are treated as whitespace. The
                # [limits](https://cloud.google.com/dlp/limits) page contains details about
                # the size limits of dictionaries. For dictionaries that do not fit within
                # these constraints, consider using `LargeCustomDictionaryConfig` in the
                # `StoredInfoType` API.
              "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                    # at least one phrase and every phrase must contain at least 2 characters
                    # that are letters or digits. [required]
                  "A String",
                ],
              },
              "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                  # is accepted.
                "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                    # Example: gs://[BUCKET_NAME]/dictionary.txt
              },
            },
            "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                # `InspectDataSource`. Not currently supported in `InspectContent`.
              "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                  # `organizations/433245324/storedInfoTypes/432452342` or
                  # `projects/project-id/storedInfoTypes/432452342`.
              "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                  # inspection was created. Output-only field, populated by the system.
            },
            "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                # Rules are applied in order that they are specified. Not supported for the
                # `surrogate_type` CustomInfoType.
              { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                  # `CustomInfoType` to alter behavior under certain circumstances, depending
                  # on the specific details of the rule. Not supported for the `surrogate_type`
                  # custom infoType.
                "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                    # proximity of hotwords.
                  "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                      # The total length of the window cannot exceed 1000 characters. Note that
                      # the finding itself will be included in the window, so that hotwords may
                      # be used to match substrings of the finding itself. For example, the
                      # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                      # adjusted upwards if the area code is known to be the local area code of
                      # a company office using the hotword regex "\(xxx\)", where "xxx"
                      # is the area code in question.
                      # rule.
                    "windowAfter": 42, # Number of characters after the finding to consider.
                    "windowBefore": 42, # Number of characters before the finding to consider.
                  },
                  "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                      # part of a detection rule.
                    "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                        # levels. For example, if a finding would be `POSSIBLE` without the
                        # detection rule and `relative_likelihood` is 1, then it is upgraded to
                        # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                        # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                        # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                        # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                        # a final likelihood of `LIKELY`.
                    "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                  },
                },
              },
            ],
            "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                # to be returned. It still can be used for rules matching.
            "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                # altered by a detection rule if the finding meets the criteria specified by
                # the rule. Defaults to `VERY_LIKELY` if not specified.
          },
        ],
        "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
            # included in the response; see Finding.quote.
        "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
            # Exclusion rules, contained in the set are executed in the end, other
            # rules are executed in the order they are specified for each info type.
          { # Rule set for modifying a set of infoTypes to alter behavior under certain
              # circumstances, depending on the specific details of the rules within the set.
            "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
              { # A single inspection rule to be applied to infoTypes, specified in
                  # `InspectionRuleSet`.
                "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                    # proximity of hotwords.
                  "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                      # The total length of the window cannot exceed 1000 characters. Note that
                      # the finding itself will be included in the window, so that hotwords may
                      # be used to match substrings of the finding itself. For example, the
                      # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                      # adjusted upwards if the area code is known to be the local area code of
                      # a company office using the hotword regex "\(xxx\)", where "xxx"
                      # is the area code in question.
                      # rule.
                    "windowAfter": 42, # Number of characters after the finding to consider.
                    "windowBefore": 42, # Number of characters before the finding to consider.
                  },
                  "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                      # part of a detection rule.
                    "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                        # levels. For example, if a finding would be `POSSIBLE` without the
                        # detection rule and `relative_likelihood` is 1, then it is upgraded to
                        # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                        # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                        # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                        # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                        # a final likelihood of `LIKELY`.
                    "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                  },
                },
                "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                    # `InspectionRuleSet` are removed from results.
                  "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                    "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                        # contained within with a finding of an infoType from this list. For
                        # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                        # `exclusion_rule` containing `exclude_info_types.info_types` with
                        # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                        # with EMAIL_ADDRESS finding.
                        # That leads to "555-222-2222@example.org" to generate only a single
                        # finding, namely email address.
                      { # Type of information detected by the API.
                        "name": "A String", # Name of the information type. Either a name of your choosing when
                            # creating a CustomInfoType, or one of the names listed
                            # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                            # a built-in type. InfoType names should conform to the pattern
                            # [a-zA-Z0-9_]{1,64}.
                      },
                    ],
                  },
                  "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                      # be used to match sensitive information specific to the data, such as a list
                      # of employee IDs or job titles.
                      #
                      # Dictionary words are case-insensitive and all characters other than letters
                      # and digits in the unicode [Basic Multilingual
                      # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                      # will be replaced with whitespace when scanning for matches, so the
                      # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                      # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                      # surrounding any match must be of a different type than the adjacent
                      # characters within the word, so letters must be next to non-letters and
                      # digits next to non-digits. For example, the dictionary word "jen" will
                      # match the first three letters of the text "jen123" but will return no
                      # matches for "jennifer".
                      #
                      # Dictionary words containing a large number of characters that are not
                      # letters or digits may result in unexpected findings because such characters
                      # are treated as whitespace. The
                      # [limits](https://cloud.google.com/dlp/limits) page contains details about
                      # the size limits of dictionaries. For dictionaries that do not fit within
                      # these constraints, consider using `LargeCustomDictionaryConfig` in the
                      # `StoredInfoType` API.
                    "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                      "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                          # at least one phrase and every phrase must contain at least 2 characters
                          # that are letters or digits. [required]
                        "A String",
                      ],
                    },
                    "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                        # is accepted.
                      "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                          # Example: gs://[BUCKET_NAME]/dictionary.txt
                    },
                  },
                  "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                },
              },
            ],
            "infoTypes": [ # List of infoTypes this rule set is applied to.
              { # Type of information detected by the API.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
            ],
          },
        ],
        "contentOptions": [ # List of options defining data content to scan.
            # If empty, text, images, and other content will be included.
          "A String",
        ],
        "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
            # InfoType values returned by ListInfoTypes or listed at
            # https://cloud.google.com/dlp/docs/infotypes-reference.
            #
            # When no InfoTypes or CustomInfoTypes are specified in a request, the
            # system may automatically choose what detectors to run. By default this may
            # be all types, but may change over time as detectors are updated.
            #
            # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
            # but may change over time as new InfoTypes are added. If you need precise
            # control and predictability as to what detectors are run you should specify
            # specific InfoTypes listed in the reference.
          { # Type of information detected by the API.
            "name": "A String", # Name of the information type. Either a name of your choosing when
                # creating a CustomInfoType, or one of the names listed
                # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                # a built-in type. InfoType names should conform to the pattern
                # [a-zA-Z0-9_]{1,64}.
          },
        ],
      },
      "inspectTemplateName": "A String", # If provided, will be used as the default for all values in InspectConfig.
          # `inspect_config` will be merged into the values persisted as part of the
          # template.
      "actions": [ # Actions to execute at the completion of the job.
        { # A task to execute on the completion of a job.
            # See https://cloud.google.com/dlp/docs/concepts-actions to learn more.
          "saveFindings": { # If set, the detailed findings will be persisted to the specified # Save resulting findings in a provided location.
              # OutputStorageConfig. Only a single instance of this action can be
              # specified.
              # Compatible with: Inspect, Risk
            "outputConfig": { # Cloud repository for storing output.
              "table": { # Message defining the location of a BigQuery table. A table is uniquely # Store findings in an existing table or a new table in an existing
                  # dataset. If table_id is not set a new one will be generated
                  # for you with the following format:
                  # dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
                  # generating the date details.
                  #
                  # For Inspect, each column in an existing output table must have the same
                  # name, type, and mode of a field in the `Finding` object.
                  #
                  # For Risk, an existing output table should be the output of a previous
                  # Risk analysis job run on the same source table, with the same privacy
                  # metric and quasi-identifiers. Risk jobs that analyze the same table but
                  # compute a different privacy metric, or use different sets of
                  # quasi-identifiers, cannot store their results in the same table.
                  # identified  by its project_id, dataset_id, and table_name. Within a query
                  # a table is often referenced with a string in the format of:
                  # `<project_id>:<dataset_id>.<table_id>` or
                  # `<project_id>.<dataset_id>.<table_id>`.
                "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                    # If omitted, project ID is inferred from the API call.
                "tableId": "A String", # Name of the table.
                "datasetId": "A String", # Dataset ID of the table.
              },
              "outputSchema": "A String", # Schema used for writing the findings for Inspect jobs. This field is only
                  # used for Inspect and must be unspecified for Risk jobs. Columns are derived
                  # from the `Finding` object. If appending to an existing table, any columns
                  # from the predefined schema that are missing will be added. No columns in
                  # the existing table will be deleted.
                  #
                  # If unspecified, then all available columns will be used for a new table or
                  # an (existing) table with no schema, and no changes will be made to an
                  # existing table that has a schema.
            },
          },
          "jobNotificationEmails": { # Enable email notification to project owners and editors on jobs's # Enable email notification to project owners and editors on job's
              # completion/failure.
              # completion/failure.
          },
          "publishSummaryToCscc": { # Publish the result summary of a DlpJob to the Cloud Security # Publish summary to Cloud Security Command Center (Alpha).
              # Command Center (CSCC Alpha).
              # This action is only available for projects which are parts of
              # an organization and whitelisted for the alpha Cloud Security Command
              # Center.
              # The action will publish count of finding instances and their info types.
              # The summary of findings will be persisted in CSCC and are governed by CSCC
              # service-specific policy, see https://cloud.google.com/terms/service-terms
              # Only a single instance of this action can be specified.
              # Compatible with: Inspect
          },
          "pubSub": { # Publish a message into given Pub/Sub topic when DlpJob has completed. The # Publish a notification to a pubsub topic.
              # message contains a single field, `DlpJobName`, which is equal to the
              # finished job's
              # [`DlpJob.name`](/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob).
              # Compatible with: Inspect, Risk
            "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given
                # publishing access rights to the DLP API service account executing
                # the long running DlpJob sending the notifications.
                # Format is projects/{project}/topics/{topic}.
          },
        },
      ],
    },
    "triggers": [ # A list of triggers which will be OR'ed together. Only one in the list
        # needs to trigger for a job to be started. The list may contain only
        # a single Schedule trigger and must have at least one object.
      { # What event needs to occur for a new job to be started.
        "schedule": { # Schedule for triggeredJobs. # Create a job on a repeating basis based on the elapse of time.
          "recurrencePeriodDuration": "A String", # With this option a job is started a regular periodic basis. For
              # example: every day (86400 seconds).
              #
              # A scheduled start time will be skipped if the previous
              # execution has not ended when its scheduled time occurs.
              #
              # This value must be set to a time duration greater than or equal
              # to 1 day and can be no longer than 60 days.
        },
      },
    ],
    "lastRunTime": "A String", # The timestamp of the last time this trigger executed, output only field.
    "createTime": "A String", # The creation timestamp of a triggeredJob, output only field.
    "name": "A String", # Unique resource name for the triggeredJob, assigned by the service when the
        # triggeredJob is created, for example
        # `projects/dlp-test-project/triggeredJobs/53234423`.
  }</pre>
</div>

<div class="method">
    <code class="details" id="delete">delete(name, x__xgafv=None)</code>
  <pre>Deletes a job trigger.
See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.

Args:
  name: string, Resource name of the project and the triggeredJob, for example
`projects/dlp-test-project/jobTriggers/53234423`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A generic empty message that you can re-use to avoid defining duplicated
      # empty messages in your APIs. A typical example is to use it as the request
      # or the response type of an API method. For instance:
      #
      #     service Foo {
      #       rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
      #     }
      #
      # The JSON representation for `Empty` is empty JSON object `{}`.
  }</pre>
</div>

<div class="method">
    <code class="details" id="get">get(name, x__xgafv=None)</code>
  <pre>Gets a job trigger.
See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.

Args:
  name: string, Resource name of the project and the triggeredJob, for example
`projects/dlp-test-project/jobTriggers/53234423`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Contains a configuration to make dlp api calls on a repeating basis.
      # See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more.
    "status": "A String", # A status for this trigger. [required]
    "updateTime": "A String", # The last update timestamp of a triggeredJob, output only field.
    "errors": [ # A stream of errors encountered when the trigger was activated. Repeated
        # errors may result in the JobTrigger automatically being paused.
        # Will return the last 100 errors. Whenever the JobTrigger is modified
        # this list will be cleared. Output only field.
      { # Details information about an error encountered during job execution or
          # the results of an unsuccessful activation of the JobTrigger.
          # Output only field.
        "timestamps": [ # The times the error occurred.
          "A String",
        ],
        "details": { # The `Status` type defines a logical error model that is suitable for
            # different programming environments, including REST APIs and RPC APIs. It is
            # used by [gRPC](https://github.com/grpc). Each `Status` message contains
            # three pieces of data: error code, error message, and error details.
            #
            # You can find out more about this error model and how to work with it in the
            # [API Design Guide](https://cloud.google.com/apis/design/errors).
          "message": "A String", # A developer-facing error message, which should be in English. Any
              # user-facing error message should be localized and sent in the
              # google.rpc.Status.details field, or localized by the client.
          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
          "details": [ # A list of messages that carry the error details.  There is a common set of
              # message types for APIs to use.
            {
              "a_key": "", # Properties of the object. Contains field @type with type URL.
            },
          ],
        },
      },
    ],
    "displayName": "A String", # Display name (max 100 chars)
    "description": "A String", # User provided description (max 256 chars)
    "inspectJob": {
      "storageConfig": { # Shared message indicating Cloud storage type. # The data to scan.
        "datastoreOptions": { # Options defining a data set within Google Cloud Datastore. # Google Cloud Datastore options specification.
          "partitionId": { # Datastore partition ID. # A partition ID identifies a grouping of entities. The grouping is always
              # by project and namespace, however the namespace ID may be empty.
              # A partition ID identifies a grouping of entities. The grouping is always
              # by project and namespace, however the namespace ID may be empty.
              #
              # A partition ID contains several dimensions:
              # project ID and namespace ID.
            "projectId": "A String", # The ID of the project to which the entities belong.
            "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
          },
          "kind": { # A representation of a Datastore kind. # The kind to process.
            "name": "A String", # The name of the kind.
          },
        },
        "bigQueryOptions": { # Options defining BigQuery table and row identifiers. # BigQuery options specification.
          "excludedFields": [ # References to fields excluded from scanning. This allows you to skip
              # inspection of entire columns which you know have no findings.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
          "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the
              # rest of the rows are omitted. If not set, or if set to 0, all rows will be
              # scanned. Only one of rows_limit and rows_limit_percent can be specified.
              # Cannot be used in conjunction with TimespanConfig.
          "sampleMethod": "A String",
          "identifyingFields": [ # References to fields uniquely identifying rows within the table.
              # Nested fields in the format, like `person.birthdate.year`, are allowed.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
          "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows
              # scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and
              # 100 means no limit. Defaults to 0. Only one of rows_limit and
              # rows_limit_percent can be specified. Cannot be used in conjunction with
              # TimespanConfig.
          "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely # Complete BigQuery table reference.
              # identified  by its project_id, dataset_id, and table_name. Within a query
              # a table is often referenced with a string in the format of:
              # `<project_id>:<dataset_id>.<table_id>` or
              # `<project_id>.<dataset_id>.<table_id>`.
            "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                # If omitted, project ID is inferred from the API call.
            "tableId": "A String", # Name of the table.
            "datasetId": "A String", # Dataset ID of the table.
          },
        },
        "timespanConfig": { # Configuration of the timespan of the items to include in scanning.
            # Currently only supported when inspecting Google Cloud Storage and BigQuery.
          "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items.
              # Used for data sources like Datastore or BigQuery.
              # If not specified for BigQuery, table last modification timestamp
              # is checked against given time span.
              # The valid data types of the timestamp field are:
              # for BigQuery - timestamp, date, datetime;
              # for Datastore - timestamp.
              # Datastore entity will be scanned if the timestamp property does not exist
              # or its value is empty or invalid.
            "name": "A String", # Name describing the field.
          },
          "endTime": "A String", # Exclude files or rows newer than this value.
              # If set to zero, no upper time limit is applied.
          "startTime": "A String", # Exclude files or rows older than this value.
          "enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out
              # a valid start_time to avoid scanning files that have not been modified
              # since the last time the JobTrigger executed. This will be based on the
              # time of the execution of the last run of the JobTrigger.
        },
        "cloudStorageOptions": { # Options defining a file or a set of files within a Google Cloud Storage # Google Cloud Storage options specification.
            # bucket.
          "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger
              # than this value then the rest of the bytes are omitted. Only one
              # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
          "sampleMethod": "A String",
          "fileSet": { # Set of files to scan. # The set of one or more files to scan.
            "url": "A String", # The Cloud Storage url of the file(s) to scan, in the format
                # `gs://<bucket>/<path>`. Trailing wildcard in the path is allowed.
                #
                # If the url ends in a trailing slash, the bucket or directory represented
                # by the url will be scanned non-recursively (content in sub-directories
                # will not be scanned). This means that `gs://mybucket/` is equivalent to
                # `gs://mybucket/*`, and `gs://mybucket/directory/` is equivalent to
                # `gs://mybucket/directory/*`.
                #
                # Exactly one of `url` or `regex_file_set` must be set.
            "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular # The regex-filtered set of files to scan. Exactly one of `url` or
                # `regex_file_set` must be set.
                # expressions are used to allow fine-grained control over which files in the
                # bucket to include.
                #
                # Included files are those that match at least one item in `include_regex` and
                # do not match any items in `exclude_regex`. Note that a file that matches
                # items from both lists will _not_ be included. For a match to occur, the
                # entire file path (i.e., everything in the url after the bucket name) must
                # match the regular expression.
                #
                # For example, given the input `{bucket_name: "mybucket", include_regex:
                # ["directory1/.*"], exclude_regex:
                # ["directory1/excluded.*"]}`:
                #
                # * `gs://mybucket/directory1/myfile` will be included
                # * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches
                # across `/`)
                # * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the
                # full path doesn't match any items in `include_regex`)
                # * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path
                # matches an item in `exclude_regex`)
                #
                # If `include_regex` is left empty, it will match all files by default
                # (this is equivalent to setting `include_regex: [".*"]`).
                #
                # Some other common use cases:
                #
                # * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all
                # files in `mybucket` except for .pdf files
                # * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will
                # include all files directly under `gs://mybucket/directory/`, without matching
                # across `/`
              "excludeRegex": [ # A list of regular expressions matching file paths to exclude. All files in
                  # the bucket that match at least one of these regular expressions will be
                  # excluded from the scan.
                  #
                  # Regular expressions use RE2
                  # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                  # under the google/re2 repository on GitHub.
                "A String",
              ],
              "bucketName": "A String", # The name of a Cloud Storage bucket. Required.
              "includeRegex": [ # A list of regular expressions matching file paths to include. All files in
                  # the bucket that match at least one of these regular expressions will be
                  # included in the set of files, except for those that also match an item in
                  # `exclude_regex`. Leaving this field empty will match all files by default
                  # (this is equivalent to including `.*` in the list).
                  #
                  # Regular expressions use RE2
                  # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                  # under the google/re2 repository on GitHub.
                "A String",
              ],
            },
          },
          "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The
              # number of bytes scanned is rounded down. Must be between 0 and 100,
              # inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one
              # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
          "filesLimitPercent": 42, # Limits the number of files to scan to this percentage of the input FileSet.
              # Number of files scanned is rounded down. Must be between 0 and 100,
              # inclusively. Both 0 and 100 means no limit. Defaults to 0.
          "fileTypes": [ # List of file type groups to include in the scan.
              # If empty, all files are scanned and available data format processors
              # are applied. In addition, the binary content of the selected files
              # is always scanned as well.
            "A String",
          ],
        },
      },
      "inspectConfig": { # Configuration description of the scanning process. # How and what to scan for.
          # When used with redactContent only info_types and min_likelihood are currently
          # used.
        "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
        "limits": {
          "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
              # When set within `InspectContentRequest`, the maximum returned is 2000
              # regardless if this is set higher.
          "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
            { # Max findings configuration per infoType, per content item or long
                # running DlpJob.
              "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                  # info_type should be provided. If InfoTypeLimit does not have an
                  # info_type, the DLP API applies the limit against all info_types that
                  # are found but not specified in another InfoTypeLimit.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
              "maxFindings": 42, # Max findings limit for the given infoType.
            },
          ],
          "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
              # When set within `InspectDataSourceRequest`,
              # the maximum returned is 2000 regardless if this is set higher.
              # When set within `InspectContentRequest`, this field is ignored.
        },
        "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
            # POSSIBLE.
            # See https://cloud.google.com/dlp/docs/likelihood to learn more.
        "customInfoTypes": [ # CustomInfoTypes provided by the user. See
            # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
          { # Custom information type provided by the user. Used to find domain-specific
              # sensitive information configurable to the data in question.
            "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
              "pattern": "A String", # Pattern defining the regular expression. Its syntax
                  # (https://github.com/google/re2/wiki/Syntax) can be found under the
                  # google/re2 repository on GitHub.
              "groupIndexes": [ # The index of the submatch to extract as findings. When not
                  # specified, the entire match is returned. No more than 3 may be included.
                42,
              ],
            },
            "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                # support reversing.
                # such as
                # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                # These types of transformations are
                # those that perform pseudonymization, thereby producing a "surrogate" as
                # output. This should be used in conjunction with a field on the
                # transformation such as `surrogate_info_type`. This CustomInfoType does
                # not support the use of `detection_rules`.
            },
            "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                # infoType, when the name matches one of existing infoTypes and that infoType
                # is specified in `InspectContent.info_types` field. Specifying the latter
                # adds findings to the one detected by the system. If built-in info type is
                # not specified in `InspectContent.info_types` list then the name is treated
                # as a custom info type.
              "name": "A String", # Name of the information type. Either a name of your choosing when
                  # creating a CustomInfoType, or one of the names listed
                  # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                  # a built-in type. InfoType names should conform to the pattern
                  # [a-zA-Z0-9_]{1,64}.
            },
            "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                # be used to match sensitive information specific to the data, such as a list
                # of employee IDs or job titles.
                #
                # Dictionary words are case-insensitive and all characters other than letters
                # and digits in the unicode [Basic Multilingual
                # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                # will be replaced with whitespace when scanning for matches, so the
                # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                # surrounding any match must be of a different type than the adjacent
                # characters within the word, so letters must be next to non-letters and
                # digits next to non-digits. For example, the dictionary word "jen" will
                # match the first three letters of the text "jen123" but will return no
                # matches for "jennifer".
                #
                # Dictionary words containing a large number of characters that are not
                # letters or digits may result in unexpected findings because such characters
                # are treated as whitespace. The
                # [limits](https://cloud.google.com/dlp/limits) page contains details about
                # the size limits of dictionaries. For dictionaries that do not fit within
                # these constraints, consider using `LargeCustomDictionaryConfig` in the
                # `StoredInfoType` API.
              "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                    # at least one phrase and every phrase must contain at least 2 characters
                    # that are letters or digits. [required]
                  "A String",
                ],
              },
              "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                  # is accepted.
                "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                    # Example: gs://[BUCKET_NAME]/dictionary.txt
              },
            },
            "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                # `InspectDataSource`. Not currently supported in `InspectContent`.
              "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                  # `organizations/433245324/storedInfoTypes/432452342` or
                  # `projects/project-id/storedInfoTypes/432452342`.
              "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                  # inspection was created. Output-only field, populated by the system.
            },
            "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                # Rules are applied in order that they are specified. Not supported for the
                # `surrogate_type` CustomInfoType.
              { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                  # `CustomInfoType` to alter behavior under certain circumstances, depending
                  # on the specific details of the rule. Not supported for the `surrogate_type`
                  # custom infoType.
                "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                    # proximity of hotwords.
                  "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                      # The total length of the window cannot exceed 1000 characters. Note that
                      # the finding itself will be included in the window, so that hotwords may
                      # be used to match substrings of the finding itself. For example, the
                      # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                      # adjusted upwards if the area code is known to be the local area code of
                      # a company office using the hotword regex "\(xxx\)", where "xxx"
                      # is the area code in question.
                      # rule.
                    "windowAfter": 42, # Number of characters after the finding to consider.
                    "windowBefore": 42, # Number of characters before the finding to consider.
                  },
                  "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                      # part of a detection rule.
                    "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                        # levels. For example, if a finding would be `POSSIBLE` without the
                        # detection rule and `relative_likelihood` is 1, then it is upgraded to
                        # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                        # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                        # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                        # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                        # a final likelihood of `LIKELY`.
                    "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                  },
                },
              },
            ],
            "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                # to be returned. It still can be used for rules matching.
            "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                # altered by a detection rule if the finding meets the criteria specified by
                # the rule. Defaults to `VERY_LIKELY` if not specified.
          },
        ],
        "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
            # included in the response; see Finding.quote.
        "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
            # Exclusion rules, contained in the set are executed in the end, other
            # rules are executed in the order they are specified for each info type.
          { # Rule set for modifying a set of infoTypes to alter behavior under certain
              # circumstances, depending on the specific details of the rules within the set.
            "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
              { # A single inspection rule to be applied to infoTypes, specified in
                  # `InspectionRuleSet`.
                "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                    # proximity of hotwords.
                  "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                      # The total length of the window cannot exceed 1000 characters. Note that
                      # the finding itself will be included in the window, so that hotwords may
                      # be used to match substrings of the finding itself. For example, the
                      # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                      # adjusted upwards if the area code is known to be the local area code of
                      # a company office using the hotword regex "\(xxx\)", where "xxx"
                      # is the area code in question.
                      # rule.
                    "windowAfter": 42, # Number of characters after the finding to consider.
                    "windowBefore": 42, # Number of characters before the finding to consider.
                  },
                  "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                      # part of a detection rule.
                    "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                        # levels. For example, if a finding would be `POSSIBLE` without the
                        # detection rule and `relative_likelihood` is 1, then it is upgraded to
                        # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                        # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                        # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                        # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                        # a final likelihood of `LIKELY`.
                    "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                  },
                },
                "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                    # `InspectionRuleSet` are removed from results.
                  "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                    "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                        # contained within with a finding of an infoType from this list. For
                        # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                        # `exclusion_rule` containing `exclude_info_types.info_types` with
                        # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                        # with EMAIL_ADDRESS finding.
                        # That leads to "555-222-2222@example.org" to generate only a single
                        # finding, namely email address.
                      { # Type of information detected by the API.
                        "name": "A String", # Name of the information type. Either a name of your choosing when
                            # creating a CustomInfoType, or one of the names listed
                            # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                            # a built-in type. InfoType names should conform to the pattern
                            # [a-zA-Z0-9_]{1,64}.
                      },
                    ],
                  },
                  "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                      # be used to match sensitive information specific to the data, such as a list
                      # of employee IDs or job titles.
                      #
                      # Dictionary words are case-insensitive and all characters other than letters
                      # and digits in the unicode [Basic Multilingual
                      # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                      # will be replaced with whitespace when scanning for matches, so the
                      # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                      # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                      # surrounding any match must be of a different type than the adjacent
                      # characters within the word, so letters must be next to non-letters and
                      # digits next to non-digits. For example, the dictionary word "jen" will
                      # match the first three letters of the text "jen123" but will return no
                      # matches for "jennifer".
                      #
                      # Dictionary words containing a large number of characters that are not
                      # letters or digits may result in unexpected findings because such characters
                      # are treated as whitespace. The
                      # [limits](https://cloud.google.com/dlp/limits) page contains details about
                      # the size limits of dictionaries. For dictionaries that do not fit within
                      # these constraints, consider using `LargeCustomDictionaryConfig` in the
                      # `StoredInfoType` API.
                    "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                      "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                          # at least one phrase and every phrase must contain at least 2 characters
                          # that are letters or digits. [required]
                        "A String",
                      ],
                    },
                    "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                        # is accepted.
                      "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                          # Example: gs://[BUCKET_NAME]/dictionary.txt
                    },
                  },
                  "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                },
              },
            ],
            "infoTypes": [ # List of infoTypes this rule set is applied to.
              { # Type of information detected by the API.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
            ],
          },
        ],
        "contentOptions": [ # List of options defining data content to scan.
            # If empty, text, images, and other content will be included.
          "A String",
        ],
        "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
            # InfoType values returned by ListInfoTypes or listed at
            # https://cloud.google.com/dlp/docs/infotypes-reference.
            #
            # When no InfoTypes or CustomInfoTypes are specified in a request, the
            # system may automatically choose what detectors to run. By default this may
            # be all types, but may change over time as detectors are updated.
            #
            # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
            # but may change over time as new InfoTypes are added. If you need precise
            # control and predictability as to what detectors are run you should specify
            # specific InfoTypes listed in the reference.
          { # Type of information detected by the API.
            "name": "A String", # Name of the information type. Either a name of your choosing when
                # creating a CustomInfoType, or one of the names listed
                # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                # a built-in type. InfoType names should conform to the pattern
                # [a-zA-Z0-9_]{1,64}.
          },
        ],
      },
      "inspectTemplateName": "A String", # If provided, will be used as the default for all values in InspectConfig.
          # `inspect_config` will be merged into the values persisted as part of the
          # template.
      "actions": [ # Actions to execute at the completion of the job.
        { # A task to execute on the completion of a job.
            # See https://cloud.google.com/dlp/docs/concepts-actions to learn more.
          "saveFindings": { # If set, the detailed findings will be persisted to the specified # Save resulting findings in a provided location.
              # OutputStorageConfig. Only a single instance of this action can be
              # specified.
              # Compatible with: Inspect, Risk
            "outputConfig": { # Cloud repository for storing output.
              "table": { # Message defining the location of a BigQuery table. A table is uniquely # Store findings in an existing table or a new table in an existing
                  # dataset. If table_id is not set a new one will be generated
                  # for you with the following format:
                  # dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
                  # generating the date details.
                  #
                  # For Inspect, each column in an existing output table must have the same
                  # name, type, and mode of a field in the `Finding` object.
                  #
                  # For Risk, an existing output table should be the output of a previous
                  # Risk analysis job run on the same source table, with the same privacy
                  # metric and quasi-identifiers. Risk jobs that analyze the same table but
                  # compute a different privacy metric, or use different sets of
                  # quasi-identifiers, cannot store their results in the same table.
                  # identified  by its project_id, dataset_id, and table_name. Within a query
                  # a table is often referenced with a string in the format of:
                  # `<project_id>:<dataset_id>.<table_id>` or
                  # `<project_id>.<dataset_id>.<table_id>`.
                "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                    # If omitted, project ID is inferred from the API call.
                "tableId": "A String", # Name of the table.
                "datasetId": "A String", # Dataset ID of the table.
              },
              "outputSchema": "A String", # Schema used for writing the findings for Inspect jobs. This field is only
                  # used for Inspect and must be unspecified for Risk jobs. Columns are derived
                  # from the `Finding` object. If appending to an existing table, any columns
                  # from the predefined schema that are missing will be added. No columns in
                  # the existing table will be deleted.
                  #
                  # If unspecified, then all available columns will be used for a new table or
                  # an (existing) table with no schema, and no changes will be made to an
                  # existing table that has a schema.
            },
          },
          "jobNotificationEmails": { # Enable email notification to project owners and editors on jobs's # Enable email notification to project owners and editors on job's
              # completion/failure.
              # completion/failure.
          },
          "publishSummaryToCscc": { # Publish the result summary of a DlpJob to the Cloud Security # Publish summary to Cloud Security Command Center (Alpha).
              # Command Center (CSCC Alpha).
              # This action is only available for projects which are parts of
              # an organization and whitelisted for the alpha Cloud Security Command
              # Center.
              # The action will publish count of finding instances and their info types.
              # The summary of findings will be persisted in CSCC and are governed by CSCC
              # service-specific policy, see https://cloud.google.com/terms/service-terms
              # Only a single instance of this action can be specified.
              # Compatible with: Inspect
          },
          "pubSub": { # Publish a message into given Pub/Sub topic when DlpJob has completed. The # Publish a notification to a pubsub topic.
              # message contains a single field, `DlpJobName`, which is equal to the
              # finished job's
              # [`DlpJob.name`](/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob).
              # Compatible with: Inspect, Risk
            "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given
                # publishing access rights to the DLP API service account executing
                # the long running DlpJob sending the notifications.
                # Format is projects/{project}/topics/{topic}.
          },
        },
      ],
    },
    "triggers": [ # A list of triggers which will be OR'ed together. Only one in the list
        # needs to trigger for a job to be started. The list may contain only
        # a single Schedule trigger and must have at least one object.
      { # What event needs to occur for a new job to be started.
        "schedule": { # Schedule for triggeredJobs. # Create a job on a repeating basis based on the elapse of time.
          "recurrencePeriodDuration": "A String", # With this option a job is started a regular periodic basis. For
              # example: every day (86400 seconds).
              #
              # A scheduled start time will be skipped if the previous
              # execution has not ended when its scheduled time occurs.
              #
              # This value must be set to a time duration greater than or equal
              # to 1 day and can be no longer than 60 days.
        },
      },
    ],
    "lastRunTime": "A String", # The timestamp of the last time this trigger executed, output only field.
    "createTime": "A String", # The creation timestamp of a triggeredJob, output only field.
    "name": "A String", # Unique resource name for the triggeredJob, assigned by the service when the
        # triggeredJob is created, for example
        # `projects/dlp-test-project/triggeredJobs/53234423`.
  }</pre>
</div>

<div class="method">
    <code class="details" id="list">list(parent, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None, filter=None)</code>
  <pre>Lists job triggers.
See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.

Args:
  parent: string, The parent resource name, for example `projects/my-project-id`. (required)
  orderBy: string, Optional comma separated list of triggeredJob fields to order by,
followed by `asc` or `desc` postfix. This list is case-insensitive,
default sorting order is ascending, redundant space characters are
insignificant.

Example: `name asc,update_time, create_time desc`

Supported fields are:

- `create_time`: corresponds to time the JobTrigger was created.
- `update_time`: corresponds to time the JobTrigger was last updated.
- `last_run_time`: corresponds to the last time the JobTrigger ran.
- `name`: corresponds to JobTrigger's name.
- `display_name`: corresponds to JobTrigger's display name.
- `status`: corresponds to JobTrigger's status.
  pageSize: integer, Optional size of the page, can be limited by a server.
  pageToken: string, Optional page token to continue retrieval. Comes from previous call
to ListJobTriggers. `order_by` field must not
change for subsequent calls.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format
  filter: string, Optional. Allows filtering.

Supported syntax:

* Filter expressions are made up of one or more restrictions.
* Restrictions can be combined by `AND` or `OR` logical operators. A
sequence of restrictions implicitly uses `AND`.
* A restriction has the form of `<field> <operator> <value>`.
* Supported fields/values for inspect jobs:
    - `status` - HEALTHY|PAUSED|CANCELLED
    - `inspected_storage` - DATASTORE|CLOUD_STORAGE|BIGQUERY
    - 'last_run_time` - RFC 3339 formatted timestamp, surrounded by
    quotation marks. Nanoseconds are ignored.
    - 'error_count' - Number of errors that have occurred while running.
* The operator must be `=` or `!=` for status and inspected_storage.

Examples:

* inspected_storage = cloud_storage AND status = HEALTHY
* inspected_storage = cloud_storage OR inspected_storage = bigquery
* inspected_storage = cloud_storage AND (state = PAUSED OR state = HEALTHY)
* last_run_time > \"2017-12-12T00:00:00+00:00\"

The length of this field should be no more than 500 characters.

Returns:
  An object of the form:

    { # Response message for ListJobTriggers.
    "nextPageToken": "A String", # If the next page is available then the next page token to be used
        # in following ListJobTriggers request.
    "jobTriggers": [ # List of triggeredJobs, up to page_size in ListJobTriggersRequest.
      { # Contains a configuration to make dlp api calls on a repeating basis.
          # See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more.
        "status": "A String", # A status for this trigger. [required]
        "updateTime": "A String", # The last update timestamp of a triggeredJob, output only field.
        "errors": [ # A stream of errors encountered when the trigger was activated. Repeated
            # errors may result in the JobTrigger automatically being paused.
            # Will return the last 100 errors. Whenever the JobTrigger is modified
            # this list will be cleared. Output only field.
          { # Details information about an error encountered during job execution or
              # the results of an unsuccessful activation of the JobTrigger.
              # Output only field.
            "timestamps": [ # The times the error occurred.
              "A String",
            ],
            "details": { # The `Status` type defines a logical error model that is suitable for
                # different programming environments, including REST APIs and RPC APIs. It is
                # used by [gRPC](https://github.com/grpc). Each `Status` message contains
                # three pieces of data: error code, error message, and error details.
                #
                # You can find out more about this error model and how to work with it in the
                # [API Design Guide](https://cloud.google.com/apis/design/errors).
              "message": "A String", # A developer-facing error message, which should be in English. Any
                  # user-facing error message should be localized and sent in the
                  # google.rpc.Status.details field, or localized by the client.
              "code": 42, # The status code, which should be an enum value of google.rpc.Code.
              "details": [ # A list of messages that carry the error details.  There is a common set of
                  # message types for APIs to use.
                {
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
              ],
            },
          },
        ],
        "displayName": "A String", # Display name (max 100 chars)
        "description": "A String", # User provided description (max 256 chars)
        "inspectJob": {
          "storageConfig": { # Shared message indicating Cloud storage type. # The data to scan.
            "datastoreOptions": { # Options defining a data set within Google Cloud Datastore. # Google Cloud Datastore options specification.
              "partitionId": { # Datastore partition ID. # A partition ID identifies a grouping of entities. The grouping is always
                  # by project and namespace, however the namespace ID may be empty.
                  # A partition ID identifies a grouping of entities. The grouping is always
                  # by project and namespace, however the namespace ID may be empty.
                  #
                  # A partition ID contains several dimensions:
                  # project ID and namespace ID.
                "projectId": "A String", # The ID of the project to which the entities belong.
                "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
              },
              "kind": { # A representation of a Datastore kind. # The kind to process.
                "name": "A String", # The name of the kind.
              },
            },
            "bigQueryOptions": { # Options defining BigQuery table and row identifiers. # BigQuery options specification.
              "excludedFields": [ # References to fields excluded from scanning. This allows you to skip
                  # inspection of entire columns which you know have no findings.
                { # General identifier of a data field in a storage service.
                  "name": "A String", # Name describing the field.
                },
              ],
              "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the
                  # rest of the rows are omitted. If not set, or if set to 0, all rows will be
                  # scanned. Only one of rows_limit and rows_limit_percent can be specified.
                  # Cannot be used in conjunction with TimespanConfig.
              "sampleMethod": "A String",
              "identifyingFields": [ # References to fields uniquely identifying rows within the table.
                  # Nested fields in the format, like `person.birthdate.year`, are allowed.
                { # General identifier of a data field in a storage service.
                  "name": "A String", # Name describing the field.
                },
              ],
              "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows
                  # scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and
                  # 100 means no limit. Defaults to 0. Only one of rows_limit and
                  # rows_limit_percent can be specified. Cannot be used in conjunction with
                  # TimespanConfig.
              "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely # Complete BigQuery table reference.
                  # identified  by its project_id, dataset_id, and table_name. Within a query
                  # a table is often referenced with a string in the format of:
                  # `<project_id>:<dataset_id>.<table_id>` or
                  # `<project_id>.<dataset_id>.<table_id>`.
                "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                    # If omitted, project ID is inferred from the API call.
                "tableId": "A String", # Name of the table.
                "datasetId": "A String", # Dataset ID of the table.
              },
            },
            "timespanConfig": { # Configuration of the timespan of the items to include in scanning.
                # Currently only supported when inspecting Google Cloud Storage and BigQuery.
              "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items.
                  # Used for data sources like Datastore or BigQuery.
                  # If not specified for BigQuery, table last modification timestamp
                  # is checked against given time span.
                  # The valid data types of the timestamp field are:
                  # for BigQuery - timestamp, date, datetime;
                  # for Datastore - timestamp.
                  # Datastore entity will be scanned if the timestamp property does not exist
                  # or its value is empty or invalid.
                "name": "A String", # Name describing the field.
              },
              "endTime": "A String", # Exclude files or rows newer than this value.
                  # If set to zero, no upper time limit is applied.
              "startTime": "A String", # Exclude files or rows older than this value.
              "enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out
                  # a valid start_time to avoid scanning files that have not been modified
                  # since the last time the JobTrigger executed. This will be based on the
                  # time of the execution of the last run of the JobTrigger.
            },
            "cloudStorageOptions": { # Options defining a file or a set of files within a Google Cloud Storage # Google Cloud Storage options specification.
                # bucket.
              "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger
                  # than this value then the rest of the bytes are omitted. Only one
                  # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
              "sampleMethod": "A String",
              "fileSet": { # Set of files to scan. # The set of one or more files to scan.
                "url": "A String", # The Cloud Storage url of the file(s) to scan, in the format
                    # `gs://<bucket>/<path>`. Trailing wildcard in the path is allowed.
                    #
                    # If the url ends in a trailing slash, the bucket or directory represented
                    # by the url will be scanned non-recursively (content in sub-directories
                    # will not be scanned). This means that `gs://mybucket/` is equivalent to
                    # `gs://mybucket/*`, and `gs://mybucket/directory/` is equivalent to
                    # `gs://mybucket/directory/*`.
                    #
                    # Exactly one of `url` or `regex_file_set` must be set.
                "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular # The regex-filtered set of files to scan. Exactly one of `url` or
                    # `regex_file_set` must be set.
                    # expressions are used to allow fine-grained control over which files in the
                    # bucket to include.
                    #
                    # Included files are those that match at least one item in `include_regex` and
                    # do not match any items in `exclude_regex`. Note that a file that matches
                    # items from both lists will _not_ be included. For a match to occur, the
                    # entire file path (i.e., everything in the url after the bucket name) must
                    # match the regular expression.
                    #
                    # For example, given the input `{bucket_name: "mybucket", include_regex:
                    # ["directory1/.*"], exclude_regex:
                    # ["directory1/excluded.*"]}`:
                    #
                    # * `gs://mybucket/directory1/myfile` will be included
                    # * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches
                    # across `/`)
                    # * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the
                    # full path doesn't match any items in `include_regex`)
                    # * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path
                    # matches an item in `exclude_regex`)
                    #
                    # If `include_regex` is left empty, it will match all files by default
                    # (this is equivalent to setting `include_regex: [".*"]`).
                    #
                    # Some other common use cases:
                    #
                    # * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all
                    # files in `mybucket` except for .pdf files
                    # * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will
                    # include all files directly under `gs://mybucket/directory/`, without matching
                    # across `/`
                  "excludeRegex": [ # A list of regular expressions matching file paths to exclude. All files in
                      # the bucket that match at least one of these regular expressions will be
                      # excluded from the scan.
                      #
                      # Regular expressions use RE2
                      # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                      # under the google/re2 repository on GitHub.
                    "A String",
                  ],
                  "bucketName": "A String", # The name of a Cloud Storage bucket. Required.
                  "includeRegex": [ # A list of regular expressions matching file paths to include. All files in
                      # the bucket that match at least one of these regular expressions will be
                      # included in the set of files, except for those that also match an item in
                      # `exclude_regex`. Leaving this field empty will match all files by default
                      # (this is equivalent to including `.*` in the list).
                      #
                      # Regular expressions use RE2
                      # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                      # under the google/re2 repository on GitHub.
                    "A String",
                  ],
                },
              },
              "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The
                  # number of bytes scanned is rounded down. Must be between 0 and 100,
                  # inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one
                  # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
              "filesLimitPercent": 42, # Limits the number of files to scan to this percentage of the input FileSet.
                  # Number of files scanned is rounded down. Must be between 0 and 100,
                  # inclusively. Both 0 and 100 means no limit. Defaults to 0.
              "fileTypes": [ # List of file type groups to include in the scan.
                  # If empty, all files are scanned and available data format processors
                  # are applied. In addition, the binary content of the selected files
                  # is always scanned as well.
                "A String",
              ],
            },
          },
          "inspectConfig": { # Configuration description of the scanning process. # How and what to scan for.
              # When used with redactContent only info_types and min_likelihood are currently
              # used.
            "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
            "limits": {
              "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
                  # When set within `InspectContentRequest`, the maximum returned is 2000
                  # regardless if this is set higher.
              "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
                { # Max findings configuration per infoType, per content item or long
                    # running DlpJob.
                  "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                      # info_type should be provided. If InfoTypeLimit does not have an
                      # info_type, the DLP API applies the limit against all info_types that
                      # are found but not specified in another InfoTypeLimit.
                    "name": "A String", # Name of the information type. Either a name of your choosing when
                        # creating a CustomInfoType, or one of the names listed
                        # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                        # a built-in type. InfoType names should conform to the pattern
                        # [a-zA-Z0-9_]{1,64}.
                  },
                  "maxFindings": 42, # Max findings limit for the given infoType.
                },
              ],
              "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
                  # When set within `InspectDataSourceRequest`,
                  # the maximum returned is 2000 regardless if this is set higher.
                  # When set within `InspectContentRequest`, this field is ignored.
            },
            "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
                # POSSIBLE.
                # See https://cloud.google.com/dlp/docs/likelihood to learn more.
            "customInfoTypes": [ # CustomInfoTypes provided by the user. See
                # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
              { # Custom information type provided by the user. Used to find domain-specific
                  # sensitive information configurable to the data in question.
                "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
                  "pattern": "A String", # Pattern defining the regular expression. Its syntax
                      # (https://github.com/google/re2/wiki/Syntax) can be found under the
                      # google/re2 repository on GitHub.
                  "groupIndexes": [ # The index of the submatch to extract as findings. When not
                      # specified, the entire match is returned. No more than 3 may be included.
                    42,
                  ],
                },
                "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                    # support reversing.
                    # such as
                    # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                    # These types of transformations are
                    # those that perform pseudonymization, thereby producing a "surrogate" as
                    # output. This should be used in conjunction with a field on the
                    # transformation such as `surrogate_info_type`. This CustomInfoType does
                    # not support the use of `detection_rules`.
                },
                "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                    # infoType, when the name matches one of existing infoTypes and that infoType
                    # is specified in `InspectContent.info_types` field. Specifying the latter
                    # adds findings to the one detected by the system. If built-in info type is
                    # not specified in `InspectContent.info_types` list then the name is treated
                    # as a custom info type.
                  "name": "A String", # Name of the information type. Either a name of your choosing when
                      # creating a CustomInfoType, or one of the names listed
                      # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                      # a built-in type. InfoType names should conform to the pattern
                      # [a-zA-Z0-9_]{1,64}.
                },
                "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                    # be used to match sensitive information specific to the data, such as a list
                    # of employee IDs or job titles.
                    #
                    # Dictionary words are case-insensitive and all characters other than letters
                    # and digits in the unicode [Basic Multilingual
                    # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                    # will be replaced with whitespace when scanning for matches, so the
                    # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                    # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                    # surrounding any match must be of a different type than the adjacent
                    # characters within the word, so letters must be next to non-letters and
                    # digits next to non-digits. For example, the dictionary word "jen" will
                    # match the first three letters of the text "jen123" but will return no
                    # matches for "jennifer".
                    #
                    # Dictionary words containing a large number of characters that are not
                    # letters or digits may result in unexpected findings because such characters
                    # are treated as whitespace. The
                    # [limits](https://cloud.google.com/dlp/limits) page contains details about
                    # the size limits of dictionaries. For dictionaries that do not fit within
                    # these constraints, consider using `LargeCustomDictionaryConfig` in the
                    # `StoredInfoType` API.
                  "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                    "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                        # at least one phrase and every phrase must contain at least 2 characters
                        # that are letters or digits. [required]
                      "A String",
                    ],
                  },
                  "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                      # is accepted.
                    "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                        # Example: gs://[BUCKET_NAME]/dictionary.txt
                  },
                },
                "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                    # `InspectDataSource`. Not currently supported in `InspectContent`.
                  "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                      # `organizations/433245324/storedInfoTypes/432452342` or
                      # `projects/project-id/storedInfoTypes/432452342`.
                  "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                      # inspection was created. Output-only field, populated by the system.
                },
                "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                    # Rules are applied in order that they are specified. Not supported for the
                    # `surrogate_type` CustomInfoType.
                  { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                      # `CustomInfoType` to alter behavior under certain circumstances, depending
                      # on the specific details of the rule. Not supported for the `surrogate_type`
                      # custom infoType.
                    "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                        # proximity of hotwords.
                      "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                          # The total length of the window cannot exceed 1000 characters. Note that
                          # the finding itself will be included in the window, so that hotwords may
                          # be used to match substrings of the finding itself. For example, the
                          # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                          # adjusted upwards if the area code is known to be the local area code of
                          # a company office using the hotword regex "\(xxx\)", where "xxx"
                          # is the area code in question.
                          # rule.
                        "windowAfter": 42, # Number of characters after the finding to consider.
                        "windowBefore": 42, # Number of characters before the finding to consider.
                      },
                      "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                          # part of a detection rule.
                        "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                            # levels. For example, if a finding would be `POSSIBLE` without the
                            # detection rule and `relative_likelihood` is 1, then it is upgraded to
                            # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                            # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                            # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                            # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                            # a final likelihood of `LIKELY`.
                        "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                      },
                    },
                  },
                ],
                "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                    # to be returned. It still can be used for rules matching.
                "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                    # altered by a detection rule if the finding meets the criteria specified by
                    # the rule. Defaults to `VERY_LIKELY` if not specified.
              },
            ],
            "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
                # included in the response; see Finding.quote.
            "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
                # Exclusion rules, contained in the set are executed in the end, other
                # rules are executed in the order they are specified for each info type.
              { # Rule set for modifying a set of infoTypes to alter behavior under certain
                  # circumstances, depending on the specific details of the rules within the set.
                "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
                  { # A single inspection rule to be applied to infoTypes, specified in
                      # `InspectionRuleSet`.
                    "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                        # proximity of hotwords.
                      "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                          # The total length of the window cannot exceed 1000 characters. Note that
                          # the finding itself will be included in the window, so that hotwords may
                          # be used to match substrings of the finding itself. For example, the
                          # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                          # adjusted upwards if the area code is known to be the local area code of
                          # a company office using the hotword regex "\(xxx\)", where "xxx"
                          # is the area code in question.
                          # rule.
                        "windowAfter": 42, # Number of characters after the finding to consider.
                        "windowBefore": 42, # Number of characters before the finding to consider.
                      },
                      "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                          # part of a detection rule.
                        "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                            # levels. For example, if a finding would be `POSSIBLE` without the
                            # detection rule and `relative_likelihood` is 1, then it is upgraded to
                            # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                            # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                            # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                            # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                            # a final likelihood of `LIKELY`.
                        "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                      },
                    },
                    "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                        # `InspectionRuleSet` are removed from results.
                      "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                        "pattern": "A String", # Pattern defining the regular expression. Its syntax
                            # (https://github.com/google/re2/wiki/Syntax) can be found under the
                            # google/re2 repository on GitHub.
                        "groupIndexes": [ # The index of the submatch to extract as findings. When not
                            # specified, the entire match is returned. No more than 3 may be included.
                          42,
                        ],
                      },
                      "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                        "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                            # contained within with a finding of an infoType from this list. For
                            # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                            # `exclusion_rule` containing `exclude_info_types.info_types` with
                            # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                            # with EMAIL_ADDRESS finding.
                            # That leads to "555-222-2222@example.org" to generate only a single
                            # finding, namely email address.
                          { # Type of information detected by the API.
                            "name": "A String", # Name of the information type. Either a name of your choosing when
                                # creating a CustomInfoType, or one of the names listed
                                # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                                # a built-in type. InfoType names should conform to the pattern
                                # [a-zA-Z0-9_]{1,64}.
                          },
                        ],
                      },
                      "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                          # be used to match sensitive information specific to the data, such as a list
                          # of employee IDs or job titles.
                          #
                          # Dictionary words are case-insensitive and all characters other than letters
                          # and digits in the unicode [Basic Multilingual
                          # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                          # will be replaced with whitespace when scanning for matches, so the
                          # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                          # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                          # surrounding any match must be of a different type than the adjacent
                          # characters within the word, so letters must be next to non-letters and
                          # digits next to non-digits. For example, the dictionary word "jen" will
                          # match the first three letters of the text "jen123" but will return no
                          # matches for "jennifer".
                          #
                          # Dictionary words containing a large number of characters that are not
                          # letters or digits may result in unexpected findings because such characters
                          # are treated as whitespace. The
                          # [limits](https://cloud.google.com/dlp/limits) page contains details about
                          # the size limits of dictionaries. For dictionaries that do not fit within
                          # these constraints, consider using `LargeCustomDictionaryConfig` in the
                          # `StoredInfoType` API.
                        "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                          "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                              # at least one phrase and every phrase must contain at least 2 characters
                              # that are letters or digits. [required]
                            "A String",
                          ],
                        },
                        "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                            # is accepted.
                          "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                              # Example: gs://[BUCKET_NAME]/dictionary.txt
                        },
                      },
                      "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                    },
                  },
                ],
                "infoTypes": [ # List of infoTypes this rule set is applied to.
                  { # Type of information detected by the API.
                    "name": "A String", # Name of the information type. Either a name of your choosing when
                        # creating a CustomInfoType, or one of the names listed
                        # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                        # a built-in type. InfoType names should conform to the pattern
                        # [a-zA-Z0-9_]{1,64}.
                  },
                ],
              },
            ],
            "contentOptions": [ # List of options defining data content to scan.
                # If empty, text, images, and other content will be included.
              "A String",
            ],
            "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
                # InfoType values returned by ListInfoTypes or listed at
                # https://cloud.google.com/dlp/docs/infotypes-reference.
                #
                # When no InfoTypes or CustomInfoTypes are specified in a request, the
                # system may automatically choose what detectors to run. By default this may
                # be all types, but may change over time as detectors are updated.
                #
                # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
                # but may change over time as new InfoTypes are added. If you need precise
                # control and predictability as to what detectors are run you should specify
                # specific InfoTypes listed in the reference.
              { # Type of information detected by the API.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
            ],
          },
          "inspectTemplateName": "A String", # If provided, will be used as the default for all values in InspectConfig.
              # `inspect_config` will be merged into the values persisted as part of the
              # template.
          "actions": [ # Actions to execute at the completion of the job.
            { # A task to execute on the completion of a job.
                # See https://cloud.google.com/dlp/docs/concepts-actions to learn more.
              "saveFindings": { # If set, the detailed findings will be persisted to the specified # Save resulting findings in a provided location.
                  # OutputStorageConfig. Only a single instance of this action can be
                  # specified.
                  # Compatible with: Inspect, Risk
                "outputConfig": { # Cloud repository for storing output.
                  "table": { # Message defining the location of a BigQuery table. A table is uniquely # Store findings in an existing table or a new table in an existing
                      # dataset. If table_id is not set a new one will be generated
                      # for you with the following format:
                      # dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
                      # generating the date details.
                      #
                      # For Inspect, each column in an existing output table must have the same
                      # name, type, and mode of a field in the `Finding` object.
                      #
                      # For Risk, an existing output table should be the output of a previous
                      # Risk analysis job run on the same source table, with the same privacy
                      # metric and quasi-identifiers. Risk jobs that analyze the same table but
                      # compute a different privacy metric, or use different sets of
                      # quasi-identifiers, cannot store their results in the same table.
                      # identified  by its project_id, dataset_id, and table_name. Within a query
                      # a table is often referenced with a string in the format of:
                      # `<project_id>:<dataset_id>.<table_id>` or
                      # `<project_id>.<dataset_id>.<table_id>`.
                    "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                        # If omitted, project ID is inferred from the API call.
                    "tableId": "A String", # Name of the table.
                    "datasetId": "A String", # Dataset ID of the table.
                  },
                  "outputSchema": "A String", # Schema used for writing the findings for Inspect jobs. This field is only
                      # used for Inspect and must be unspecified for Risk jobs. Columns are derived
                      # from the `Finding` object. If appending to an existing table, any columns
                      # from the predefined schema that are missing will be added. No columns in
                      # the existing table will be deleted.
                      #
                      # If unspecified, then all available columns will be used for a new table or
                      # an (existing) table with no schema, and no changes will be made to an
                      # existing table that has a schema.
                },
              },
              "jobNotificationEmails": { # Enable email notification to project owners and editors on jobs's # Enable email notification to project owners and editors on job's
                  # completion/failure.
                  # completion/failure.
              },
              "publishSummaryToCscc": { # Publish the result summary of a DlpJob to the Cloud Security # Publish summary to Cloud Security Command Center (Alpha).
                  # Command Center (CSCC Alpha).
                  # This action is only available for projects which are parts of
                  # an organization and whitelisted for the alpha Cloud Security Command
                  # Center.
                  # The action will publish count of finding instances and their info types.
                  # The summary of findings will be persisted in CSCC and are governed by CSCC
                  # service-specific policy, see https://cloud.google.com/terms/service-terms
                  # Only a single instance of this action can be specified.
                  # Compatible with: Inspect
              },
              "pubSub": { # Publish a message into given Pub/Sub topic when DlpJob has completed. The # Publish a notification to a pubsub topic.
                  # message contains a single field, `DlpJobName`, which is equal to the
                  # finished job's
                  # [`DlpJob.name`](/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob).
                  # Compatible with: Inspect, Risk
                "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given
                    # publishing access rights to the DLP API service account executing
                    # the long running DlpJob sending the notifications.
                    # Format is projects/{project}/topics/{topic}.
              },
            },
          ],
        },
        "triggers": [ # A list of triggers which will be OR'ed together. Only one in the list
            # needs to trigger for a job to be started. The list may contain only
            # a single Schedule trigger and must have at least one object.
          { # What event needs to occur for a new job to be started.
            "schedule": { # Schedule for triggeredJobs. # Create a job on a repeating basis based on the elapse of time.
              "recurrencePeriodDuration": "A String", # With this option a job is started a regular periodic basis. For
                  # example: every day (86400 seconds).
                  #
                  # A scheduled start time will be skipped if the previous
                  # execution has not ended when its scheduled time occurs.
                  #
                  # This value must be set to a time duration greater than or equal
                  # to 1 day and can be no longer than 60 days.
            },
          },
        ],
        "lastRunTime": "A String", # The timestamp of the last time this trigger executed, output only field.
        "createTime": "A String", # The creation timestamp of a triggeredJob, output only field.
        "name": "A String", # Unique resource name for the triggeredJob, assigned by the service when the
            # triggeredJob is created, for example
            # `projects/dlp-test-project/triggeredJobs/53234423`.
      },
    ],
  }</pre>
</div>

<div class="method">
    <code class="details" id="list_next">list_next(previous_request, previous_response)</code>
  <pre>Retrieves the next page of results.

Args:
  previous_request: The request for the previous page. (required)
  previous_response: The response from the request for the previous page. (required)

Returns:
  A request object that you can call 'execute()' on to request the next
  page. Returns None if there are no more items in the collection.
    </pre>
</div>

<div class="method">
    <code class="details" id="patch">patch(name, body, x__xgafv=None)</code>
  <pre>Updates a job trigger.
See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.

Args:
  name: string, Resource name of the project and the triggeredJob, for example
`projects/dlp-test-project/jobTriggers/53234423`. (required)
  body: object, The request body. (required)
    The object takes the form of:

{ # Request message for UpdateJobTrigger.
    "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. # New JobTrigger value.
        # See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more.
      "status": "A String", # A status for this trigger. [required]
      "updateTime": "A String", # The last update timestamp of a triggeredJob, output only field.
      "errors": [ # A stream of errors encountered when the trigger was activated. Repeated
          # errors may result in the JobTrigger automatically being paused.
          # Will return the last 100 errors. Whenever the JobTrigger is modified
          # this list will be cleared. Output only field.
        { # Details information about an error encountered during job execution or
            # the results of an unsuccessful activation of the JobTrigger.
            # Output only field.
          "timestamps": [ # The times the error occurred.
            "A String",
          ],
          "details": { # The `Status` type defines a logical error model that is suitable for
              # different programming environments, including REST APIs and RPC APIs. It is
              # used by [gRPC](https://github.com/grpc). Each `Status` message contains
              # three pieces of data: error code, error message, and error details.
              #
              # You can find out more about this error model and how to work with it in the
              # [API Design Guide](https://cloud.google.com/apis/design/errors).
            "message": "A String", # A developer-facing error message, which should be in English. Any
                # user-facing error message should be localized and sent in the
                # google.rpc.Status.details field, or localized by the client.
            "code": 42, # The status code, which should be an enum value of google.rpc.Code.
            "details": [ # A list of messages that carry the error details.  There is a common set of
                # message types for APIs to use.
              {
                "a_key": "", # Properties of the object. Contains field @type with type URL.
              },
            ],
          },
        },
      ],
      "displayName": "A String", # Display name (max 100 chars)
      "description": "A String", # User provided description (max 256 chars)
      "inspectJob": {
        "storageConfig": { # Shared message indicating Cloud storage type. # The data to scan.
          "datastoreOptions": { # Options defining a data set within Google Cloud Datastore. # Google Cloud Datastore options specification.
            "partitionId": { # Datastore partition ID. # A partition ID identifies a grouping of entities. The grouping is always
                # by project and namespace, however the namespace ID may be empty.
                # A partition ID identifies a grouping of entities. The grouping is always
                # by project and namespace, however the namespace ID may be empty.
                #
                # A partition ID contains several dimensions:
                # project ID and namespace ID.
              "projectId": "A String", # The ID of the project to which the entities belong.
              "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
            },
            "kind": { # A representation of a Datastore kind. # The kind to process.
              "name": "A String", # The name of the kind.
            },
          },
          "bigQueryOptions": { # Options defining BigQuery table and row identifiers. # BigQuery options specification.
            "excludedFields": [ # References to fields excluded from scanning. This allows you to skip
                # inspection of entire columns which you know have no findings.
              { # General identifier of a data field in a storage service.
                "name": "A String", # Name describing the field.
              },
            ],
            "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the
                # rest of the rows are omitted. If not set, or if set to 0, all rows will be
                # scanned. Only one of rows_limit and rows_limit_percent can be specified.
                # Cannot be used in conjunction with TimespanConfig.
            "sampleMethod": "A String",
            "identifyingFields": [ # References to fields uniquely identifying rows within the table.
                # Nested fields in the format, like `person.birthdate.year`, are allowed.
              { # General identifier of a data field in a storage service.
                "name": "A String", # Name describing the field.
              },
            ],
            "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows
                # scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and
                # 100 means no limit. Defaults to 0. Only one of rows_limit and
                # rows_limit_percent can be specified. Cannot be used in conjunction with
                # TimespanConfig.
            "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely # Complete BigQuery table reference.
                # identified  by its project_id, dataset_id, and table_name. Within a query
                # a table is often referenced with a string in the format of:
                # `<project_id>:<dataset_id>.<table_id>` or
                # `<project_id>.<dataset_id>.<table_id>`.
              "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                  # If omitted, project ID is inferred from the API call.
              "tableId": "A String", # Name of the table.
              "datasetId": "A String", # Dataset ID of the table.
            },
          },
          "timespanConfig": { # Configuration of the timespan of the items to include in scanning.
              # Currently only supported when inspecting Google Cloud Storage and BigQuery.
            "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items.
                # Used for data sources like Datastore or BigQuery.
                # If not specified for BigQuery, table last modification timestamp
                # is checked against given time span.
                # The valid data types of the timestamp field are:
                # for BigQuery - timestamp, date, datetime;
                # for Datastore - timestamp.
                # Datastore entity will be scanned if the timestamp property does not exist
                # or its value is empty or invalid.
              "name": "A String", # Name describing the field.
            },
            "endTime": "A String", # Exclude files or rows newer than this value.
                # If set to zero, no upper time limit is applied.
            "startTime": "A String", # Exclude files or rows older than this value.
            "enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out
                # a valid start_time to avoid scanning files that have not been modified
                # since the last time the JobTrigger executed. This will be based on the
                # time of the execution of the last run of the JobTrigger.
          },
          "cloudStorageOptions": { # Options defining a file or a set of files within a Google Cloud Storage # Google Cloud Storage options specification.
              # bucket.
            "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger
                # than this value then the rest of the bytes are omitted. Only one
                # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
            "sampleMethod": "A String",
            "fileSet": { # Set of files to scan. # The set of one or more files to scan.
              "url": "A String", # The Cloud Storage url of the file(s) to scan, in the format
                  # `gs://<bucket>/<path>`. Trailing wildcard in the path is allowed.
                  #
                  # If the url ends in a trailing slash, the bucket or directory represented
                  # by the url will be scanned non-recursively (content in sub-directories
                  # will not be scanned). This means that `gs://mybucket/` is equivalent to
                  # `gs://mybucket/*`, and `gs://mybucket/directory/` is equivalent to
                  # `gs://mybucket/directory/*`.
                  #
                  # Exactly one of `url` or `regex_file_set` must be set.
              "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular # The regex-filtered set of files to scan. Exactly one of `url` or
                  # `regex_file_set` must be set.
                  # expressions are used to allow fine-grained control over which files in the
                  # bucket to include.
                  #
                  # Included files are those that match at least one item in `include_regex` and
                  # do not match any items in `exclude_regex`. Note that a file that matches
                  # items from both lists will _not_ be included. For a match to occur, the
                  # entire file path (i.e., everything in the url after the bucket name) must
                  # match the regular expression.
                  #
                  # For example, given the input `{bucket_name: "mybucket", include_regex:
                  # ["directory1/.*"], exclude_regex:
                  # ["directory1/excluded.*"]}`:
                  #
                  # * `gs://mybucket/directory1/myfile` will be included
                  # * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches
                  # across `/`)
                  # * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the
                  # full path doesn't match any items in `include_regex`)
                  # * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path
                  # matches an item in `exclude_regex`)
                  #
                  # If `include_regex` is left empty, it will match all files by default
                  # (this is equivalent to setting `include_regex: [".*"]`).
                  #
                  # Some other common use cases:
                  #
                  # * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all
                  # files in `mybucket` except for .pdf files
                  # * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will
                  # include all files directly under `gs://mybucket/directory/`, without matching
                  # across `/`
                "excludeRegex": [ # A list of regular expressions matching file paths to exclude. All files in
                    # the bucket that match at least one of these regular expressions will be
                    # excluded from the scan.
                    #
                    # Regular expressions use RE2
                    # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                    # under the google/re2 repository on GitHub.
                  "A String",
                ],
                "bucketName": "A String", # The name of a Cloud Storage bucket. Required.
                "includeRegex": [ # A list of regular expressions matching file paths to include. All files in
                    # the bucket that match at least one of these regular expressions will be
                    # included in the set of files, except for those that also match an item in
                    # `exclude_regex`. Leaving this field empty will match all files by default
                    # (this is equivalent to including `.*` in the list).
                    #
                    # Regular expressions use RE2
                    # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                    # under the google/re2 repository on GitHub.
                  "A String",
                ],
              },
            },
            "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The
                # number of bytes scanned is rounded down. Must be between 0 and 100,
                # inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one
                # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
            "filesLimitPercent": 42, # Limits the number of files to scan to this percentage of the input FileSet.
                # Number of files scanned is rounded down. Must be between 0 and 100,
                # inclusively. Both 0 and 100 means no limit. Defaults to 0.
            "fileTypes": [ # List of file type groups to include in the scan.
                # If empty, all files are scanned and available data format processors
                # are applied. In addition, the binary content of the selected files
                # is always scanned as well.
              "A String",
            ],
          },
        },
        "inspectConfig": { # Configuration description of the scanning process. # How and what to scan for.
            # When used with redactContent only info_types and min_likelihood are currently
            # used.
          "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
          "limits": {
            "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
                # When set within `InspectContentRequest`, the maximum returned is 2000
                # regardless if this is set higher.
            "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
              { # Max findings configuration per infoType, per content item or long
                  # running DlpJob.
                "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                    # info_type should be provided. If InfoTypeLimit does not have an
                    # info_type, the DLP API applies the limit against all info_types that
                    # are found but not specified in another InfoTypeLimit.
                  "name": "A String", # Name of the information type. Either a name of your choosing when
                      # creating a CustomInfoType, or one of the names listed
                      # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                      # a built-in type. InfoType names should conform to the pattern
                      # [a-zA-Z0-9_]{1,64}.
                },
                "maxFindings": 42, # Max findings limit for the given infoType.
              },
            ],
            "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
                # When set within `InspectDataSourceRequest`,
                # the maximum returned is 2000 regardless if this is set higher.
                # When set within `InspectContentRequest`, this field is ignored.
          },
          "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
              # POSSIBLE.
              # See https://cloud.google.com/dlp/docs/likelihood to learn more.
          "customInfoTypes": [ # CustomInfoTypes provided by the user. See
              # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
            { # Custom information type provided by the user. Used to find domain-specific
                # sensitive information configurable to the data in question.
              "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
                "pattern": "A String", # Pattern defining the regular expression. Its syntax
                    # (https://github.com/google/re2/wiki/Syntax) can be found under the
                    # google/re2 repository on GitHub.
                "groupIndexes": [ # The index of the submatch to extract as findings. When not
                    # specified, the entire match is returned. No more than 3 may be included.
                  42,
                ],
              },
              "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                  # support reversing.
                  # such as
                  # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                  # These types of transformations are
                  # those that perform pseudonymization, thereby producing a "surrogate" as
                  # output. This should be used in conjunction with a field on the
                  # transformation such as `surrogate_info_type`. This CustomInfoType does
                  # not support the use of `detection_rules`.
              },
              "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                  # infoType, when the name matches one of existing infoTypes and that infoType
                  # is specified in `InspectContent.info_types` field. Specifying the latter
                  # adds findings to the one detected by the system. If built-in info type is
                  # not specified in `InspectContent.info_types` list then the name is treated
                  # as a custom info type.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
              "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                  # be used to match sensitive information specific to the data, such as a list
                  # of employee IDs or job titles.
                  #
                  # Dictionary words are case-insensitive and all characters other than letters
                  # and digits in the unicode [Basic Multilingual
                  # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                  # will be replaced with whitespace when scanning for matches, so the
                  # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                  # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                  # surrounding any match must be of a different type than the adjacent
                  # characters within the word, so letters must be next to non-letters and
                  # digits next to non-digits. For example, the dictionary word "jen" will
                  # match the first three letters of the text "jen123" but will return no
                  # matches for "jennifer".
                  #
                  # Dictionary words containing a large number of characters that are not
                  # letters or digits may result in unexpected findings because such characters
                  # are treated as whitespace. The
                  # [limits](https://cloud.google.com/dlp/limits) page contains details about
                  # the size limits of dictionaries. For dictionaries that do not fit within
                  # these constraints, consider using `LargeCustomDictionaryConfig` in the
                  # `StoredInfoType` API.
                "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                  "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                      # at least one phrase and every phrase must contain at least 2 characters
                      # that are letters or digits. [required]
                    "A String",
                  ],
                },
                "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                    # is accepted.
                  "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                      # Example: gs://[BUCKET_NAME]/dictionary.txt
                },
              },
              "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                  # `InspectDataSource`. Not currently supported in `InspectContent`.
                "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                    # `organizations/433245324/storedInfoTypes/432452342` or
                    # `projects/project-id/storedInfoTypes/432452342`.
                "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                    # inspection was created. Output-only field, populated by the system.
              },
              "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                  # Rules are applied in order that they are specified. Not supported for the
                  # `surrogate_type` CustomInfoType.
                { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                    # `CustomInfoType` to alter behavior under certain circumstances, depending
                    # on the specific details of the rule. Not supported for the `surrogate_type`
                    # custom infoType.
                  "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                      # proximity of hotwords.
                    "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                        # The total length of the window cannot exceed 1000 characters. Note that
                        # the finding itself will be included in the window, so that hotwords may
                        # be used to match substrings of the finding itself. For example, the
                        # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                        # adjusted upwards if the area code is known to be the local area code of
                        # a company office using the hotword regex "\(xxx\)", where "xxx"
                        # is the area code in question.
                        # rule.
                      "windowAfter": 42, # Number of characters after the finding to consider.
                      "windowBefore": 42, # Number of characters before the finding to consider.
                    },
                    "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                      "pattern": "A String", # Pattern defining the regular expression. Its syntax
                          # (https://github.com/google/re2/wiki/Syntax) can be found under the
                          # google/re2 repository on GitHub.
                      "groupIndexes": [ # The index of the submatch to extract as findings. When not
                          # specified, the entire match is returned. No more than 3 may be included.
                        42,
                      ],
                    },
                    "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                        # part of a detection rule.
                      "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                          # levels. For example, if a finding would be `POSSIBLE` without the
                          # detection rule and `relative_likelihood` is 1, then it is upgraded to
                          # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                          # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                          # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                          # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                          # a final likelihood of `LIKELY`.
                      "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                    },
                  },
                },
              ],
              "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                  # to be returned. It still can be used for rules matching.
              "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                  # altered by a detection rule if the finding meets the criteria specified by
                  # the rule. Defaults to `VERY_LIKELY` if not specified.
            },
          ],
          "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
              # included in the response; see Finding.quote.
          "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
              # Exclusion rules, contained in the set are executed in the end, other
              # rules are executed in the order they are specified for each info type.
            { # Rule set for modifying a set of infoTypes to alter behavior under certain
                # circumstances, depending on the specific details of the rules within the set.
              "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
                { # A single inspection rule to be applied to infoTypes, specified in
                    # `InspectionRuleSet`.
                  "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                      # proximity of hotwords.
                    "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                        # The total length of the window cannot exceed 1000 characters. Note that
                        # the finding itself will be included in the window, so that hotwords may
                        # be used to match substrings of the finding itself. For example, the
                        # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                        # adjusted upwards if the area code is known to be the local area code of
                        # a company office using the hotword regex "\(xxx\)", where "xxx"
                        # is the area code in question.
                        # rule.
                      "windowAfter": 42, # Number of characters after the finding to consider.
                      "windowBefore": 42, # Number of characters before the finding to consider.
                    },
                    "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                      "pattern": "A String", # Pattern defining the regular expression. Its syntax
                          # (https://github.com/google/re2/wiki/Syntax) can be found under the
                          # google/re2 repository on GitHub.
                      "groupIndexes": [ # The index of the submatch to extract as findings. When not
                          # specified, the entire match is returned. No more than 3 may be included.
                        42,
                      ],
                    },
                    "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                        # part of a detection rule.
                      "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                          # levels. For example, if a finding would be `POSSIBLE` without the
                          # detection rule and `relative_likelihood` is 1, then it is upgraded to
                          # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                          # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                          # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                          # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                          # a final likelihood of `LIKELY`.
                      "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                    },
                  },
                  "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                      # `InspectionRuleSet` are removed from results.
                    "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                      "pattern": "A String", # Pattern defining the regular expression. Its syntax
                          # (https://github.com/google/re2/wiki/Syntax) can be found under the
                          # google/re2 repository on GitHub.
                      "groupIndexes": [ # The index of the submatch to extract as findings. When not
                          # specified, the entire match is returned. No more than 3 may be included.
                        42,
                      ],
                    },
                    "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                      "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                          # contained within with a finding of an infoType from this list. For
                          # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                          # `exclusion_rule` containing `exclude_info_types.info_types` with
                          # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                          # with EMAIL_ADDRESS finding.
                          # That leads to "555-222-2222@example.org" to generate only a single
                          # finding, namely email address.
                        { # Type of information detected by the API.
                          "name": "A String", # Name of the information type. Either a name of your choosing when
                              # creating a CustomInfoType, or one of the names listed
                              # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                              # a built-in type. InfoType names should conform to the pattern
                              # [a-zA-Z0-9_]{1,64}.
                        },
                      ],
                    },
                    "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                        # be used to match sensitive information specific to the data, such as a list
                        # of employee IDs or job titles.
                        #
                        # Dictionary words are case-insensitive and all characters other than letters
                        # and digits in the unicode [Basic Multilingual
                        # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                        # will be replaced with whitespace when scanning for matches, so the
                        # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                        # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                        # surrounding any match must be of a different type than the adjacent
                        # characters within the word, so letters must be next to non-letters and
                        # digits next to non-digits. For example, the dictionary word "jen" will
                        # match the first three letters of the text "jen123" but will return no
                        # matches for "jennifer".
                        #
                        # Dictionary words containing a large number of characters that are not
                        # letters or digits may result in unexpected findings because such characters
                        # are treated as whitespace. The
                        # [limits](https://cloud.google.com/dlp/limits) page contains details about
                        # the size limits of dictionaries. For dictionaries that do not fit within
                        # these constraints, consider using `LargeCustomDictionaryConfig` in the
                        # `StoredInfoType` API.
                      "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                        "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                            # at least one phrase and every phrase must contain at least 2 characters
                            # that are letters or digits. [required]
                          "A String",
                        ],
                      },
                      "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                          # is accepted.
                        "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                            # Example: gs://[BUCKET_NAME]/dictionary.txt
                      },
                    },
                    "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                  },
                },
              ],
              "infoTypes": [ # List of infoTypes this rule set is applied to.
                { # Type of information detected by the API.
                  "name": "A String", # Name of the information type. Either a name of your choosing when
                      # creating a CustomInfoType, or one of the names listed
                      # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                      # a built-in type. InfoType names should conform to the pattern
                      # [a-zA-Z0-9_]{1,64}.
                },
              ],
            },
          ],
          "contentOptions": [ # List of options defining data content to scan.
              # If empty, text, images, and other content will be included.
            "A String",
          ],
          "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
              # InfoType values returned by ListInfoTypes or listed at
              # https://cloud.google.com/dlp/docs/infotypes-reference.
              #
              # When no InfoTypes or CustomInfoTypes are specified in a request, the
              # system may automatically choose what detectors to run. By default this may
              # be all types, but may change over time as detectors are updated.
              #
              # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
              # but may change over time as new InfoTypes are added. If you need precise
              # control and predictability as to what detectors are run you should specify
              # specific InfoTypes listed in the reference.
            { # Type of information detected by the API.
              "name": "A String", # Name of the information type. Either a name of your choosing when
                  # creating a CustomInfoType, or one of the names listed
                  # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                  # a built-in type. InfoType names should conform to the pattern
                  # [a-zA-Z0-9_]{1,64}.
            },
          ],
        },
        "inspectTemplateName": "A String", # If provided, will be used as the default for all values in InspectConfig.
            # `inspect_config` will be merged into the values persisted as part of the
            # template.
        "actions": [ # Actions to execute at the completion of the job.
          { # A task to execute on the completion of a job.
              # See https://cloud.google.com/dlp/docs/concepts-actions to learn more.
            "saveFindings": { # If set, the detailed findings will be persisted to the specified # Save resulting findings in a provided location.
                # OutputStorageConfig. Only a single instance of this action can be
                # specified.
                # Compatible with: Inspect, Risk
              "outputConfig": { # Cloud repository for storing output.
                "table": { # Message defining the location of a BigQuery table. A table is uniquely # Store findings in an existing table or a new table in an existing
                    # dataset. If table_id is not set a new one will be generated
                    # for you with the following format:
                    # dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
                    # generating the date details.
                    #
                    # For Inspect, each column in an existing output table must have the same
                    # name, type, and mode of a field in the `Finding` object.
                    #
                    # For Risk, an existing output table should be the output of a previous
                    # Risk analysis job run on the same source table, with the same privacy
                    # metric and quasi-identifiers. Risk jobs that analyze the same table but
                    # compute a different privacy metric, or use different sets of
                    # quasi-identifiers, cannot store their results in the same table.
                    # identified  by its project_id, dataset_id, and table_name. Within a query
                    # a table is often referenced with a string in the format of:
                    # `<project_id>:<dataset_id>.<table_id>` or
                    # `<project_id>.<dataset_id>.<table_id>`.
                  "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                      # If omitted, project ID is inferred from the API call.
                  "tableId": "A String", # Name of the table.
                  "datasetId": "A String", # Dataset ID of the table.
                },
                "outputSchema": "A String", # Schema used for writing the findings for Inspect jobs. This field is only
                    # used for Inspect and must be unspecified for Risk jobs. Columns are derived
                    # from the `Finding` object. If appending to an existing table, any columns
                    # from the predefined schema that are missing will be added. No columns in
                    # the existing table will be deleted.
                    #
                    # If unspecified, then all available columns will be used for a new table or
                    # an (existing) table with no schema, and no changes will be made to an
                    # existing table that has a schema.
              },
            },
            "jobNotificationEmails": { # Enable email notification to project owners and editors on jobs's # Enable email notification to project owners and editors on job's
                # completion/failure.
                # completion/failure.
            },
            "publishSummaryToCscc": { # Publish the result summary of a DlpJob to the Cloud Security # Publish summary to Cloud Security Command Center (Alpha).
                # Command Center (CSCC Alpha).
                # This action is only available for projects which are parts of
                # an organization and whitelisted for the alpha Cloud Security Command
                # Center.
                # The action will publish count of finding instances and their info types.
                # The summary of findings will be persisted in CSCC and are governed by CSCC
                # service-specific policy, see https://cloud.google.com/terms/service-terms
                # Only a single instance of this action can be specified.
                # Compatible with: Inspect
            },
            "pubSub": { # Publish a message into given Pub/Sub topic when DlpJob has completed. The # Publish a notification to a pubsub topic.
                # message contains a single field, `DlpJobName`, which is equal to the
                # finished job's
                # [`DlpJob.name`](/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob).
                # Compatible with: Inspect, Risk
              "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given
                  # publishing access rights to the DLP API service account executing
                  # the long running DlpJob sending the notifications.
                  # Format is projects/{project}/topics/{topic}.
            },
          },
        ],
      },
      "triggers": [ # A list of triggers which will be OR'ed together. Only one in the list
          # needs to trigger for a job to be started. The list may contain only
          # a single Schedule trigger and must have at least one object.
        { # What event needs to occur for a new job to be started.
          "schedule": { # Schedule for triggeredJobs. # Create a job on a repeating basis based on the elapse of time.
            "recurrencePeriodDuration": "A String", # With this option a job is started a regular periodic basis. For
                # example: every day (86400 seconds).
                #
                # A scheduled start time will be skipped if the previous
                # execution has not ended when its scheduled time occurs.
                #
                # This value must be set to a time duration greater than or equal
                # to 1 day and can be no longer than 60 days.
          },
        },
      ],
      "lastRunTime": "A String", # The timestamp of the last time this trigger executed, output only field.
      "createTime": "A String", # The creation timestamp of a triggeredJob, output only field.
      "name": "A String", # Unique resource name for the triggeredJob, assigned by the service when the
          # triggeredJob is created, for example
          # `projects/dlp-test-project/triggeredJobs/53234423`.
    },
    "updateMask": "A String", # Mask to control which fields get updated.
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Contains a configuration to make dlp api calls on a repeating basis.
      # See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more.
    "status": "A String", # A status for this trigger. [required]
    "updateTime": "A String", # The last update timestamp of a triggeredJob, output only field.
    "errors": [ # A stream of errors encountered when the trigger was activated. Repeated
        # errors may result in the JobTrigger automatically being paused.
        # Will return the last 100 errors. Whenever the JobTrigger is modified
        # this list will be cleared. Output only field.
      { # Details information about an error encountered during job execution or
          # the results of an unsuccessful activation of the JobTrigger.
          # Output only field.
        "timestamps": [ # The times the error occurred.
          "A String",
        ],
        "details": { # The `Status` type defines a logical error model that is suitable for
            # different programming environments, including REST APIs and RPC APIs. It is
            # used by [gRPC](https://github.com/grpc). Each `Status` message contains
            # three pieces of data: error code, error message, and error details.
            #
            # You can find out more about this error model and how to work with it in the
            # [API Design Guide](https://cloud.google.com/apis/design/errors).
          "message": "A String", # A developer-facing error message, which should be in English. Any
              # user-facing error message should be localized and sent in the
              # google.rpc.Status.details field, or localized by the client.
          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
          "details": [ # A list of messages that carry the error details.  There is a common set of
              # message types for APIs to use.
            {
              "a_key": "", # Properties of the object. Contains field @type with type URL.
            },
          ],
        },
      },
    ],
    "displayName": "A String", # Display name (max 100 chars)
    "description": "A String", # User provided description (max 256 chars)
    "inspectJob": {
      "storageConfig": { # Shared message indicating Cloud storage type. # The data to scan.
        "datastoreOptions": { # Options defining a data set within Google Cloud Datastore. # Google Cloud Datastore options specification.
          "partitionId": { # Datastore partition ID. # A partition ID identifies a grouping of entities. The grouping is always
              # by project and namespace, however the namespace ID may be empty.
              # A partition ID identifies a grouping of entities. The grouping is always
              # by project and namespace, however the namespace ID may be empty.
              #
              # A partition ID contains several dimensions:
              # project ID and namespace ID.
            "projectId": "A String", # The ID of the project to which the entities belong.
            "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
          },
          "kind": { # A representation of a Datastore kind. # The kind to process.
            "name": "A String", # The name of the kind.
          },
        },
        "bigQueryOptions": { # Options defining BigQuery table and row identifiers. # BigQuery options specification.
          "excludedFields": [ # References to fields excluded from scanning. This allows you to skip
              # inspection of entire columns which you know have no findings.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
          "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the
              # rest of the rows are omitted. If not set, or if set to 0, all rows will be
              # scanned. Only one of rows_limit and rows_limit_percent can be specified.
              # Cannot be used in conjunction with TimespanConfig.
          "sampleMethod": "A String",
          "identifyingFields": [ # References to fields uniquely identifying rows within the table.
              # Nested fields in the format, like `person.birthdate.year`, are allowed.
            { # General identifier of a data field in a storage service.
              "name": "A String", # Name describing the field.
            },
          ],
          "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows
              # scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and
              # 100 means no limit. Defaults to 0. Only one of rows_limit and
              # rows_limit_percent can be specified. Cannot be used in conjunction with
              # TimespanConfig.
          "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely # Complete BigQuery table reference.
              # identified  by its project_id, dataset_id, and table_name. Within a query
              # a table is often referenced with a string in the format of:
              # `<project_id>:<dataset_id>.<table_id>` or
              # `<project_id>.<dataset_id>.<table_id>`.
            "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                # If omitted, project ID is inferred from the API call.
            "tableId": "A String", # Name of the table.
            "datasetId": "A String", # Dataset ID of the table.
          },
        },
        "timespanConfig": { # Configuration of the timespan of the items to include in scanning.
            # Currently only supported when inspecting Google Cloud Storage and BigQuery.
          "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items.
              # Used for data sources like Datastore or BigQuery.
              # If not specified for BigQuery, table last modification timestamp
              # is checked against given time span.
              # The valid data types of the timestamp field are:
              # for BigQuery - timestamp, date, datetime;
              # for Datastore - timestamp.
              # Datastore entity will be scanned if the timestamp property does not exist
              # or its value is empty or invalid.
            "name": "A String", # Name describing the field.
          },
          "endTime": "A String", # Exclude files or rows newer than this value.
              # If set to zero, no upper time limit is applied.
          "startTime": "A String", # Exclude files or rows older than this value.
          "enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out
              # a valid start_time to avoid scanning files that have not been modified
              # since the last time the JobTrigger executed. This will be based on the
              # time of the execution of the last run of the JobTrigger.
        },
        "cloudStorageOptions": { # Options defining a file or a set of files within a Google Cloud Storage # Google Cloud Storage options specification.
            # bucket.
          "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger
              # than this value then the rest of the bytes are omitted. Only one
              # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
          "sampleMethod": "A String",
          "fileSet": { # Set of files to scan. # The set of one or more files to scan.
            "url": "A String", # The Cloud Storage url of the file(s) to scan, in the format
                # `gs://<bucket>/<path>`. Trailing wildcard in the path is allowed.
                #
                # If the url ends in a trailing slash, the bucket or directory represented
                # by the url will be scanned non-recursively (content in sub-directories
                # will not be scanned). This means that `gs://mybucket/` is equivalent to
                # `gs://mybucket/*`, and `gs://mybucket/directory/` is equivalent to
                # `gs://mybucket/directory/*`.
                #
                # Exactly one of `url` or `regex_file_set` must be set.
            "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular # The regex-filtered set of files to scan. Exactly one of `url` or
                # `regex_file_set` must be set.
                # expressions are used to allow fine-grained control over which files in the
                # bucket to include.
                #
                # Included files are those that match at least one item in `include_regex` and
                # do not match any items in `exclude_regex`. Note that a file that matches
                # items from both lists will _not_ be included. For a match to occur, the
                # entire file path (i.e., everything in the url after the bucket name) must
                # match the regular expression.
                #
                # For example, given the input `{bucket_name: "mybucket", include_regex:
                # ["directory1/.*"], exclude_regex:
                # ["directory1/excluded.*"]}`:
                #
                # * `gs://mybucket/directory1/myfile` will be included
                # * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches
                # across `/`)
                # * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the
                # full path doesn't match any items in `include_regex`)
                # * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path
                # matches an item in `exclude_regex`)
                #
                # If `include_regex` is left empty, it will match all files by default
                # (this is equivalent to setting `include_regex: [".*"]`).
                #
                # Some other common use cases:
                #
                # * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all
                # files in `mybucket` except for .pdf files
                # * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will
                # include all files directly under `gs://mybucket/directory/`, without matching
                # across `/`
              "excludeRegex": [ # A list of regular expressions matching file paths to exclude. All files in
                  # the bucket that match at least one of these regular expressions will be
                  # excluded from the scan.
                  #
                  # Regular expressions use RE2
                  # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                  # under the google/re2 repository on GitHub.
                "A String",
              ],
              "bucketName": "A String", # The name of a Cloud Storage bucket. Required.
              "includeRegex": [ # A list of regular expressions matching file paths to include. All files in
                  # the bucket that match at least one of these regular expressions will be
                  # included in the set of files, except for those that also match an item in
                  # `exclude_regex`. Leaving this field empty will match all files by default
                  # (this is equivalent to including `.*` in the list).
                  #
                  # Regular expressions use RE2
                  # [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found
                  # under the google/re2 repository on GitHub.
                "A String",
              ],
            },
          },
          "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The
              # number of bytes scanned is rounded down. Must be between 0 and 100,
              # inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one
              # of bytes_limit_per_file and bytes_limit_per_file_percent can be specified.
          "filesLimitPercent": 42, # Limits the number of files to scan to this percentage of the input FileSet.
              # Number of files scanned is rounded down. Must be between 0 and 100,
              # inclusively. Both 0 and 100 means no limit. Defaults to 0.
          "fileTypes": [ # List of file type groups to include in the scan.
              # If empty, all files are scanned and available data format processors
              # are applied. In addition, the binary content of the selected files
              # is always scanned as well.
            "A String",
          ],
        },
      },
      "inspectConfig": { # Configuration description of the scanning process. # How and what to scan for.
          # When used with redactContent only info_types and min_likelihood are currently
          # used.
        "excludeInfoTypes": True or False, # When true, excludes type information of the findings.
        "limits": {
          "maxFindingsPerRequest": 42, # Max number of findings that will be returned per request/job.
              # When set within `InspectContentRequest`, the maximum returned is 2000
              # regardless if this is set higher.
          "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
            { # Max findings configuration per infoType, per content item or long
                # running DlpJob.
              "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per
                  # info_type should be provided. If InfoTypeLimit does not have an
                  # info_type, the DLP API applies the limit against all info_types that
                  # are found but not specified in another InfoTypeLimit.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
              "maxFindings": 42, # Max findings limit for the given infoType.
            },
          ],
          "maxFindingsPerItem": 42, # Max number of findings that will be returned for each item scanned.
              # When set within `InspectDataSourceRequest`,
              # the maximum returned is 2000 regardless if this is set higher.
              # When set within `InspectContentRequest`, this field is ignored.
        },
        "minLikelihood": "A String", # Only returns findings equal or above this threshold. The default is
            # POSSIBLE.
            # See https://cloud.google.com/dlp/docs/likelihood to learn more.
        "customInfoTypes": [ # CustomInfoTypes provided by the user. See
            # https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
          { # Custom information type provided by the user. Used to find domain-specific
              # sensitive information configurable to the data in question.
            "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
              "pattern": "A String", # Pattern defining the regular expression. Its syntax
                  # (https://github.com/google/re2/wiki/Syntax) can be found under the
                  # google/re2 repository on GitHub.
              "groupIndexes": [ # The index of the submatch to extract as findings. When not
                  # specified, the entire match is returned. No more than 3 may be included.
                42,
              ],
            },
            "surrogateType": { # Message for detecting output from deidentification transformations # Message for detecting output from deidentification transformations that
                # support reversing.
                # such as
                # [`CryptoReplaceFfxFpeConfig`](/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig).
                # These types of transformations are
                # those that perform pseudonymization, thereby producing a "surrogate" as
                # output. This should be used in conjunction with a field on the
                # transformation such as `surrogate_info_type`. This CustomInfoType does
                # not support the use of `detection_rules`.
            },
            "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in
                # infoType, when the name matches one of existing infoTypes and that infoType
                # is specified in `InspectContent.info_types` field. Specifying the latter
                # adds findings to the one detected by the system. If built-in info type is
                # not specified in `InspectContent.info_types` list then the name is treated
                # as a custom info type.
              "name": "A String", # Name of the information type. Either a name of your choosing when
                  # creating a CustomInfoType, or one of the names listed
                  # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                  # a built-in type. InfoType names should conform to the pattern
                  # [a-zA-Z0-9_]{1,64}.
            },
            "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # A list of phrases to detect as a CustomInfoType.
                # be used to match sensitive information specific to the data, such as a list
                # of employee IDs or job titles.
                #
                # Dictionary words are case-insensitive and all characters other than letters
                # and digits in the unicode [Basic Multilingual
                # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                # will be replaced with whitespace when scanning for matches, so the
                # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                # surrounding any match must be of a different type than the adjacent
                # characters within the word, so letters must be next to non-letters and
                # digits next to non-digits. For example, the dictionary word "jen" will
                # match the first three letters of the text "jen123" but will return no
                # matches for "jennifer".
                #
                # Dictionary words containing a large number of characters that are not
                # letters or digits may result in unexpected findings because such characters
                # are treated as whitespace. The
                # [limits](https://cloud.google.com/dlp/limits) page contains details about
                # the size limits of dictionaries. For dictionaries that do not fit within
                # these constraints, consider using `LargeCustomDictionaryConfig` in the
                # `StoredInfoType` API.
              "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                    # at least one phrase and every phrase must contain at least 2 characters
                    # that are letters or digits. [required]
                  "A String",
                ],
              },
              "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                  # is accepted.
                "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                    # Example: gs://[BUCKET_NAME]/dictionary.txt
              },
            },
            "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in
                # `InspectDataSource`. Not currently supported in `InspectContent`.
              "name": "A String", # Resource name of the requested `StoredInfoType`, for example
                  # `organizations/433245324/storedInfoTypes/432452342` or
                  # `projects/project-id/storedInfoTypes/432452342`.
              "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for
                  # inspection was created. Output-only field, populated by the system.
            },
            "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType.
                # Rules are applied in order that they are specified. Not supported for the
                # `surrogate_type` CustomInfoType.
              { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a
                  # `CustomInfoType` to alter behavior under certain circumstances, depending
                  # on the specific details of the rule. Not supported for the `surrogate_type`
                  # custom infoType.
                "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                    # proximity of hotwords.
                  "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                      # The total length of the window cannot exceed 1000 characters. Note that
                      # the finding itself will be included in the window, so that hotwords may
                      # be used to match substrings of the finding itself. For example, the
                      # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                      # adjusted upwards if the area code is known to be the local area code of
                      # a company office using the hotword regex "\(xxx\)", where "xxx"
                      # is the area code in question.
                      # rule.
                    "windowAfter": 42, # Number of characters after the finding to consider.
                    "windowBefore": 42, # Number of characters before the finding to consider.
                  },
                  "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                      # part of a detection rule.
                    "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                        # levels. For example, if a finding would be `POSSIBLE` without the
                        # detection rule and `relative_likelihood` is 1, then it is upgraded to
                        # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                        # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                        # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                        # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                        # a final likelihood of `LIKELY`.
                    "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                  },
                },
              },
            ],
            "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding
                # to be returned. It still can be used for rules matching.
            "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be
                # altered by a detection rule if the finding meets the criteria specified by
                # the rule. Defaults to `VERY_LIKELY` if not specified.
          },
        ],
        "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is
            # included in the response; see Finding.quote.
        "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig.
            # Exclusion rules, contained in the set are executed in the end, other
            # rules are executed in the order they are specified for each info type.
          { # Rule set for modifying a set of infoTypes to alter behavior under certain
              # circumstances, depending on the specific details of the rules within the set.
            "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
              { # A single inspection rule to be applied to infoTypes, specified in
                  # `InspectionRuleSet`.
                "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain # Hotword-based detection rule.
                    # proximity of hotwords.
                  "proximity": { # Message for specifying a window around a finding to apply a detection # Proximity of the finding within which the entire hotword must reside.
                      # The total length of the window cannot exceed 1000 characters. Note that
                      # the finding itself will be included in the window, so that hotwords may
                      # be used to match substrings of the finding itself. For example, the
                      # certainty of a phone number regex "\(\d{3}\) \d{3}-\d{4}" could be
                      # adjusted upwards if the area code is known to be the local area code of
                      # a company office using the hotword regex "\(xxx\)", where "xxx"
                      # is the area code in question.
                      # rule.
                    "windowAfter": 42, # Number of characters after the finding to consider.
                    "windowBefore": 42, # Number of characters before the finding to consider.
                  },
                  "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as # Likelihood adjustment to apply to all matching findings.
                      # part of a detection rule.
                    "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of
                        # levels. For example, if a finding would be `POSSIBLE` without the
                        # detection rule and `relative_likelihood` is 1, then it is upgraded to
                        # `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`.
                        # Likelihood may never drop below `VERY_UNLIKELY` or exceed
                        # `VERY_LIKELY`, so applying an adjustment of 1 followed by an
                        # adjustment of -1 when base likelihood is `VERY_LIKELY` will result in
                        # a final likelihood of `LIKELY`.
                    "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
                  },
                },
                "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in # Exclusion rule.
                    # `InspectionRuleSet` are removed from results.
                  "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
                    "pattern": "A String", # Pattern defining the regular expression. Its syntax
                        # (https://github.com/google/re2/wiki/Syntax) can be found under the
                        # google/re2 repository on GitHub.
                    "groupIndexes": [ # The index of the submatch to extract as findings. When not
                        # specified, the entire match is returned. No more than 3 may be included.
                      42,
                    ],
                  },
                  "excludeInfoTypes": { # List of exclude infoTypes. # Set of infoTypes for which findings would affect this rule.
                    "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or
                        # contained within with a finding of an infoType from this list. For
                        # example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and
                        # `exclusion_rule` containing `exclude_info_types.info_types` with
                        # "EMAIL_ADDRESS" the phone number findings are dropped if they overlap
                        # with EMAIL_ADDRESS finding.
                        # That leads to "555-222-2222@example.org" to generate only a single
                        # finding, namely email address.
                      { # Type of information detected by the API.
                        "name": "A String", # Name of the information type. Either a name of your choosing when
                            # creating a CustomInfoType, or one of the names listed
                            # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                            # a built-in type. InfoType names should conform to the pattern
                            # [a-zA-Z0-9_]{1,64}.
                      },
                    ],
                  },
                  "dictionary": { # Custom information type based on a dictionary of words or phrases. This can # Dictionary which defines the rule.
                      # be used to match sensitive information specific to the data, such as a list
                      # of employee IDs or job titles.
                      #
                      # Dictionary words are case-insensitive and all characters other than letters
                      # and digits in the unicode [Basic Multilingual
                      # Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane)
                      # will be replaced with whitespace when scanning for matches, so the
                      # dictionary phrase "Sam Johnson" will match all three phrases "sam johnson",
                      # "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters
                      # surrounding any match must be of a different type than the adjacent
                      # characters within the word, so letters must be next to non-letters and
                      # digits next to non-digits. For example, the dictionary word "jen" will
                      # match the first three letters of the text "jen123" but will return no
                      # matches for "jennifer".
                      #
                      # Dictionary words containing a large number of characters that are not
                      # letters or digits may result in unexpected findings because such characters
                      # are treated as whitespace. The
                      # [limits](https://cloud.google.com/dlp/limits) page contains details about
                      # the size limits of dictionaries. For dictionaries that do not fit within
                      # these constraints, consider using `LargeCustomDictionaryConfig` in the
                      # `StoredInfoType` API.
                    "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
                      "words": [ # Words or phrases defining the dictionary. The dictionary must contain
                          # at least one phrase and every phrase must contain at least 2 characters
                          # that are letters or digits. [required]
                        "A String",
                      ],
                    },
                    "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file
                        # is accepted.
                      "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage.
                          # Example: gs://[BUCKET_NAME]/dictionary.txt
                    },
                  },
                  "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
                },
              },
            ],
            "infoTypes": [ # List of infoTypes this rule set is applied to.
              { # Type of information detected by the API.
                "name": "A String", # Name of the information type. Either a name of your choosing when
                    # creating a CustomInfoType, or one of the names listed
                    # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                    # a built-in type. InfoType names should conform to the pattern
                    # [a-zA-Z0-9_]{1,64}.
              },
            ],
          },
        ],
        "contentOptions": [ # List of options defining data content to scan.
            # If empty, text, images, and other content will be included.
          "A String",
        ],
        "infoTypes": [ # Restricts what info_types to look for. The values must correspond to
            # InfoType values returned by ListInfoTypes or listed at
            # https://cloud.google.com/dlp/docs/infotypes-reference.
            #
            # When no InfoTypes or CustomInfoTypes are specified in a request, the
            # system may automatically choose what detectors to run. By default this may
            # be all types, but may change over time as detectors are updated.
            #
            # The special InfoType name "ALL_BASIC" can be used to trigger all detectors,
            # but may change over time as new InfoTypes are added. If you need precise
            # control and predictability as to what detectors are run you should specify
            # specific InfoTypes listed in the reference.
          { # Type of information detected by the API.
            "name": "A String", # Name of the information type. Either a name of your choosing when
                # creating a CustomInfoType, or one of the names listed
                # at https://cloud.google.com/dlp/docs/infotypes-reference when specifying
                # a built-in type. InfoType names should conform to the pattern
                # [a-zA-Z0-9_]{1,64}.
          },
        ],
      },
      "inspectTemplateName": "A String", # If provided, will be used as the default for all values in InspectConfig.
          # `inspect_config` will be merged into the values persisted as part of the
          # template.
      "actions": [ # Actions to execute at the completion of the job.
        { # A task to execute on the completion of a job.
            # See https://cloud.google.com/dlp/docs/concepts-actions to learn more.
          "saveFindings": { # If set, the detailed findings will be persisted to the specified # Save resulting findings in a provided location.
              # OutputStorageConfig. Only a single instance of this action can be
              # specified.
              # Compatible with: Inspect, Risk
            "outputConfig": { # Cloud repository for storing output.
              "table": { # Message defining the location of a BigQuery table. A table is uniquely # Store findings in an existing table or a new table in an existing
                  # dataset. If table_id is not set a new one will be generated
                  # for you with the following format:
                  # dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
                  # generating the date details.
                  #
                  # For Inspect, each column in an existing output table must have the same
                  # name, type, and mode of a field in the `Finding` object.
                  #
                  # For Risk, an existing output table should be the output of a previous
                  # Risk analysis job run on the same source table, with the same privacy
                  # metric and quasi-identifiers. Risk jobs that analyze the same table but
                  # compute a different privacy metric, or use different sets of
                  # quasi-identifiers, cannot store their results in the same table.
                  # identified  by its project_id, dataset_id, and table_name. Within a query
                  # a table is often referenced with a string in the format of:
                  # `<project_id>:<dataset_id>.<table_id>` or
                  # `<project_id>.<dataset_id>.<table_id>`.
                "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table.
                    # If omitted, project ID is inferred from the API call.
                "tableId": "A String", # Name of the table.
                "datasetId": "A String", # Dataset ID of the table.
              },
              "outputSchema": "A String", # Schema used for writing the findings for Inspect jobs. This field is only
                  # used for Inspect and must be unspecified for Risk jobs. Columns are derived
                  # from the `Finding` object. If appending to an existing table, any columns
                  # from the predefined schema that are missing will be added. No columns in
                  # the existing table will be deleted.
                  #
                  # If unspecified, then all available columns will be used for a new table or
                  # an (existing) table with no schema, and no changes will be made to an
                  # existing table that has a schema.
            },
          },
          "jobNotificationEmails": { # Enable email notification to project owners and editors on jobs's # Enable email notification to project owners and editors on job's
              # completion/failure.
              # completion/failure.
          },
          "publishSummaryToCscc": { # Publish the result summary of a DlpJob to the Cloud Security # Publish summary to Cloud Security Command Center (Alpha).
              # Command Center (CSCC Alpha).
              # This action is only available for projects which are parts of
              # an organization and whitelisted for the alpha Cloud Security Command
              # Center.
              # The action will publish count of finding instances and their info types.
              # The summary of findings will be persisted in CSCC and are governed by CSCC
              # service-specific policy, see https://cloud.google.com/terms/service-terms
              # Only a single instance of this action can be specified.
              # Compatible with: Inspect
          },
          "pubSub": { # Publish a message into given Pub/Sub topic when DlpJob has completed. The # Publish a notification to a pubsub topic.
              # message contains a single field, `DlpJobName`, which is equal to the
              # finished job's
              # [`DlpJob.name`](/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob).
              # Compatible with: Inspect, Risk
            "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given
                # publishing access rights to the DLP API service account executing
                # the long running DlpJob sending the notifications.
                # Format is projects/{project}/topics/{topic}.
          },
        },
      ],
    },
    "triggers": [ # A list of triggers which will be OR'ed together. Only one in the list
        # needs to trigger for a job to be started. The list may contain only
        # a single Schedule trigger and must have at least one object.
      { # What event needs to occur for a new job to be started.
        "schedule": { # Schedule for triggeredJobs. # Create a job on a repeating basis based on the elapse of time.
          "recurrencePeriodDuration": "A String", # With this option a job is started a regular periodic basis. For
              # example: every day (86400 seconds).
              #
              # A scheduled start time will be skipped if the previous
              # execution has not ended when its scheduled time occurs.
              #
              # This value must be set to a time duration greater than or equal
              # to 1 day and can be no longer than 60 days.
        },
      },
    ],
    "lastRunTime": "A String", # The timestamp of the last time this trigger executed, output only field.
    "createTime": "A String", # The creation timestamp of a triggeredJob, output only field.
    "name": "A String", # Unique resource name for the triggeredJob, assigned by the service when the
        # triggeredJob is created, for example
        # `projects/dlp-test-project/triggeredJobs/53234423`.
  }</pre>
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