chore: Update discovery artifacts (#1396)
## Discovery Artifact Change Summary:
feat(dialogflow): update the api https://github.com/googleapis/google-api-python-client/commit/f7b0ebc0047427b3633480999ed28e0f37fa77f1
feat(sasportal): update the api https://github.com/googleapis/google-api-python-client/commit/ca30eddc3d583c1851cc2f70f37c1d9f81f4342f
feat(youtube): update the api https://github.com/googleapis/google-api-python-client/commit/981cfb0ae51df0d2f48152bb74f79840ca19727a
diff --git a/docs/dyn/bigquery_v2.jobs.html b/docs/dyn/bigquery_v2.jobs.html
index 4eaac38..f0a0ffa 100644
--- a/docs/dyn/bigquery_v2.jobs.html
+++ b/docs/dyn/bigquery_v2.jobs.html
@@ -183,7 +183,7 @@
],
},
"createDisposition": "A String", # [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
+ "decimalTargetTypes": [ # Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC ([Preview](/products/#product-launch-stages)), and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: * (38,9) -> NUMERIC; * (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -> BIGNUMERIC; * (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
"A String",
],
"destinationEncryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
@@ -378,9 +378,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -503,7 +500,6 @@
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "dmlStats": "", # [Output-only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
@@ -674,7 +670,7 @@
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"totalSlotMs": "A String", # [Output-only] Slot-milliseconds for the job.
- "transactionInfo": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
+ "transactionInfoTemplate": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
"transactionId": "A String", # [Output-only] // [Alpha] Id of the transaction.
},
},
@@ -794,7 +790,7 @@
],
},
"createDisposition": "A String", # [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
+ "decimalTargetTypes": [ # Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC ([Preview](/products/#product-launch-stages)), and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: * (38,9) -> NUMERIC; * (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -> BIGNUMERIC; * (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
"A String",
],
"destinationEncryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
@@ -989,9 +985,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -1114,7 +1107,6 @@
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "dmlStats": "", # [Output-only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
@@ -1285,7 +1277,7 @@
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"totalSlotMs": "A String", # [Output-only] Slot-milliseconds for the job.
- "transactionInfo": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
+ "transactionInfoTemplate": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
"transactionId": "A String", # [Output-only] // [Alpha] Id of the transaction.
},
},
@@ -1474,7 +1466,7 @@
],
},
"createDisposition": "A String", # [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
+ "decimalTargetTypes": [ # Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC ([Preview](/products/#product-launch-stages)), and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: * (38,9) -> NUMERIC; * (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -> BIGNUMERIC; * (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
"A String",
],
"destinationEncryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
@@ -1669,9 +1661,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -1794,7 +1783,6 @@
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "dmlStats": "", # [Output-only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
@@ -1965,7 +1953,7 @@
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"totalSlotMs": "A String", # [Output-only] Slot-milliseconds for the job.
- "transactionInfo": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
+ "transactionInfoTemplate": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
"transactionId": "A String", # [Output-only] // [Alpha] Id of the transaction.
},
},
@@ -2060,7 +2048,7 @@
],
},
"createDisposition": "A String", # [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
+ "decimalTargetTypes": [ # Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC ([Preview](/products/#product-launch-stages)), and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: * (38,9) -> NUMERIC; * (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -> BIGNUMERIC; * (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
"A String",
],
"destinationEncryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
@@ -2255,9 +2243,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -2380,7 +2365,6 @@
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "dmlStats": "", # [Output-only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
@@ -2551,7 +2535,7 @@
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"totalSlotMs": "A String", # [Output-only] Slot-milliseconds for the job.
- "transactionInfo": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
+ "transactionInfoTemplate": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
"transactionId": "A String", # [Output-only] // [Alpha] Id of the transaction.
},
},
@@ -2669,7 +2653,7 @@
],
},
"createDisposition": "A String", # [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
+ "decimalTargetTypes": [ # Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC ([Preview](/products/#product-launch-stages)), and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: * (38,9) -> NUMERIC; * (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -> BIGNUMERIC; * (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
"A String",
],
"destinationEncryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
@@ -2864,9 +2848,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -2994,7 +2975,6 @@
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "dmlStats": "", # [Output-only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
"estimatedBytesProcessed": "A String", # [Output-only] The original estimate of bytes processed for the job.
"modelTraining": { # [Output-only, Beta] Information about create model query job progress.
"currentIteration": 42, # [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
@@ -3165,7 +3145,7 @@
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"totalSlotMs": "A String", # [Output-only] Slot-milliseconds for the job.
- "transactionInfo": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
+ "transactionInfoTemplate": { # [Output-only] [Alpha] Information of the multi-statement transaction if this job is part of one.
"transactionId": "A String", # [Output-only] // [Alpha] Id of the transaction.
},
},
@@ -3277,7 +3257,6 @@
{
"cacheHit": True or False, # Whether the query result was fetched from the query cache.
- "dmlStats": "", # [Output-only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
"errors": [ # [Output-only] The first errors or warnings encountered during the running of the job. The final message includes the number of errors that caused the process to stop. Errors here do not necessarily mean that the job has completed or was unsuccessful.
{
"debugInfo": "A String", # Debugging information. This property is internal to Google and should not be used.
diff --git a/docs/dyn/bigquery_v2.tables.html b/docs/dyn/bigquery_v2.tables.html
index 8c4f73d..5220b08 100644
--- a/docs/dyn/bigquery_v2.tables.html
+++ b/docs/dyn/bigquery_v2.tables.html
@@ -184,9 +184,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -323,12 +320,12 @@
},
"selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
"snapshotDefinition": { # [Output-only] Snapshot definition.
- "baseTableReference": { # [Required] Reference describing the ID of the table that was snapshot.
+ "baseTableReference": { # [Required] Reference describing the ID of the table that is snapshotted.
"datasetId": "A String", # [Required] The ID of the dataset containing this table.
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "snapshotTime": "A String", # [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.
+ "snapshotTime": "A String", # [Required] The time at which the base table was snapshot.
},
"streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
"estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
@@ -470,9 +467,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -609,12 +603,12 @@
},
"selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
"snapshotDefinition": { # [Output-only] Snapshot definition.
- "baseTableReference": { # [Required] Reference describing the ID of the table that was snapshot.
+ "baseTableReference": { # [Required] Reference describing the ID of the table that is snapshotted.
"datasetId": "A String", # [Required] The ID of the dataset containing this table.
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "snapshotTime": "A String", # [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.
+ "snapshotTime": "A String", # [Required] The time at which the base table was snapshot.
},
"streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
"estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
@@ -697,9 +691,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -836,12 +827,12 @@
},
"selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
"snapshotDefinition": { # [Output-only] Snapshot definition.
- "baseTableReference": { # [Required] Reference describing the ID of the table that was snapshot.
+ "baseTableReference": { # [Required] Reference describing the ID of the table that is snapshotted.
"datasetId": "A String", # [Required] The ID of the dataset containing this table.
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "snapshotTime": "A String", # [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.
+ "snapshotTime": "A String", # [Required] The time at which the base table was snapshot.
},
"streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
"estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
@@ -1007,9 +998,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -1146,12 +1134,12 @@
},
"selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
"snapshotDefinition": { # [Output-only] Snapshot definition.
- "baseTableReference": { # [Required] Reference describing the ID of the table that was snapshot.
+ "baseTableReference": { # [Required] Reference describing the ID of the table that is snapshotted.
"datasetId": "A String", # [Required] The ID of the dataset containing this table.
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "snapshotTime": "A String", # [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.
+ "snapshotTime": "A String", # [Required] The time at which the base table was snapshot.
},
"streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
"estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
@@ -1234,9 +1222,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -1373,12 +1358,12 @@
},
"selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
"snapshotDefinition": { # [Output-only] Snapshot definition.
- "baseTableReference": { # [Required] Reference describing the ID of the table that was snapshot.
+ "baseTableReference": { # [Required] Reference describing the ID of the table that is snapshotted.
"datasetId": "A String", # [Required] The ID of the dataset containing this table.
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "snapshotTime": "A String", # [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.
+ "snapshotTime": "A String", # [Required] The time at which the base table was snapshot.
},
"streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
"estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
@@ -1576,9 +1561,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -1715,12 +1697,12 @@
},
"selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
"snapshotDefinition": { # [Output-only] Snapshot definition.
- "baseTableReference": { # [Required] Reference describing the ID of the table that was snapshot.
+ "baseTableReference": { # [Required] Reference describing the ID of the table that is snapshotted.
"datasetId": "A String", # [Required] The ID of the dataset containing this table.
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "snapshotTime": "A String", # [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.
+ "snapshotTime": "A String", # [Required] The time at which the base table was snapshot.
},
"streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
"estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
@@ -1803,9 +1785,6 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
- "decimalTargetTypes": [ # [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
- "A String",
- ],
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"range": "A String", # [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
@@ -1942,12 +1921,12 @@
},
"selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
"snapshotDefinition": { # [Output-only] Snapshot definition.
- "baseTableReference": { # [Required] Reference describing the ID of the table that was snapshot.
+ "baseTableReference": { # [Required] Reference describing the ID of the table that is snapshotted.
"datasetId": "A String", # [Required] The ID of the dataset containing this table.
"projectId": "A String", # [Required] The ID of the project containing this table.
"tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
},
- "snapshotTime": "A String", # [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.
+ "snapshotTime": "A String", # [Required] The time at which the base table was snapshot.
},
"streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
"estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
diff --git a/docs/dyn/bigtableadmin_v2.projects.instances.tables.html b/docs/dyn/bigtableadmin_v2.projects.instances.tables.html
index eb8aaf2..54ebf26 100644
--- a/docs/dyn/bigtableadmin_v2.projects.instances.tables.html
+++ b/docs/dyn/bigtableadmin_v2.projects.instances.tables.html
@@ -109,7 +109,7 @@
<p class="firstline">Performs a series of column family modifications on the specified table. Either all or none of the modifications will occur before this method returns, but data requests received prior to that point may see a table where only some modifications have taken effect.</p>
<p class="toc_element">
<code><a href="#restore">restore(parent, body=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Create a new table by restoring from a completed backup. The new table must be in the same instance as the instance containing the backup. The returned table long-running operation can be used to track the progress of the operation, and to cancel it. The metadata field type is RestoreTableMetadata. The response type is Table, if successful.</p>
+<p class="firstline">Create a new table by restoring from a completed backup. The new table must be in the same project as the instance containing the backup. The returned table long-running operation can be used to track the progress of the operation, and to cancel it. The metadata field type is RestoreTableMetadata. The response type is Table, if successful.</p>
<p class="toc_element">
<code><a href="#setIamPolicy">setIamPolicy(resource, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Sets the access control policy on a Table resource. Replaces any existing policy.</p>
@@ -687,10 +687,10 @@
<div class="method">
<code class="details" id="restore">restore(parent, body=None, x__xgafv=None)</code>
- <pre>Create a new table by restoring from a completed backup. The new table must be in the same instance as the instance containing the backup. The returned table long-running operation can be used to track the progress of the operation, and to cancel it. The metadata field type is RestoreTableMetadata. The response type is Table, if successful.
+ <pre>Create a new table by restoring from a completed backup. The new table must be in the same project as the instance containing the backup. The returned table long-running operation can be used to track the progress of the operation, and to cancel it. The metadata field type is RestoreTableMetadata. The response type is Table, if successful.
Args:
- parent: string, Required. The name of the instance in which to create the restored table. This instance must be the parent of the source backup. Values are of the form `projects//instances/`. (required)
+ parent: string, Required. The name of the instance in which to create the restored table. This instance must be in the same project as the source backup. Values are of the form `projects//instances/`. (required)
body: object, The request body.
The object takes the form of:
diff --git a/docs/dyn/dialogflow_v3.projects.locations.agents.environments.sessions.html b/docs/dyn/dialogflow_v3.projects.locations.agents.environments.sessions.html
index 7afabcf..f042cc2 100644
--- a/docs/dyn/dialogflow_v3.projects.locations.agents.environments.sessions.html
+++ b/docs/dyn/dialogflow_v3.projects.locations.agents.environments.sessions.html
@@ -155,7 +155,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1032,7 +1032,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1886,7 +1886,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
diff --git a/docs/dyn/dialogflow_v3.projects.locations.agents.sessions.html b/docs/dyn/dialogflow_v3.projects.locations.agents.sessions.html
index fcff4d2..ed2ca37 100644
--- a/docs/dyn/dialogflow_v3.projects.locations.agents.sessions.html
+++ b/docs/dyn/dialogflow_v3.projects.locations.agents.sessions.html
@@ -155,7 +155,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1032,7 +1032,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1886,7 +1886,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
diff --git a/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.html b/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.html
index abfeea0..206a564 100644
--- a/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.html
+++ b/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.html
@@ -2398,6 +2398,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -3095,6 +3096,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -3802,6 +3804,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -4499,6 +4502,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -5257,6 +5261,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -5954,6 +5959,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -6721,6 +6727,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -7418,6 +7425,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -8143,6 +8151,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -8840,6 +8849,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -9548,6 +9558,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -10245,6 +10256,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
diff --git a/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.results.html b/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.results.html
index 4befb9e..00ab49a 100644
--- a/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.results.html
+++ b/docs/dyn/dialogflow_v3.projects.locations.agents.testCases.results.html
@@ -110,6 +110,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -825,6 +826,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
diff --git a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.environments.sessions.html b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.environments.sessions.html
index 8de0718..19d386d 100644
--- a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.environments.sessions.html
+++ b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.environments.sessions.html
@@ -155,7 +155,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1032,7 +1032,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1886,7 +1886,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
diff --git a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.sessions.html b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.sessions.html
index 77cfa2e..8b16b1e 100644
--- a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.sessions.html
+++ b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.sessions.html
@@ -155,7 +155,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1032,7 +1032,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
@@ -1886,7 +1886,7 @@
},
"queryParams": { # Represents the parameters of a conversational query. # The parameters of this query.
"analyzeQueryTextSentiment": True or False, # Configures whether sentiment analysis should be performed. If not provided, sentiment analysis is not performed.
- "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
+ "currentPage": "A String", # The unique identifier of the page to override the current page in the session. Format: `projects//locations//agents//flows//pages/`. If `current_page` is specified, the previous state of the session will be ignored by Dialogflow, including the previous page and the previous session parameters. In most cases, current_page and parameters should be configured together to direct a session to a specific state.
"disableWebhook": True or False, # Whether to disable webhook calls for this request.
"geoLocation": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # The geo location of this conversational query.
"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
diff --git a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.html b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.html
index 4c92d96..485b041 100644
--- a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.html
+++ b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.html
@@ -2398,6 +2398,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -3095,6 +3096,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -3802,6 +3804,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -4499,6 +4502,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -5257,6 +5261,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -5954,6 +5959,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -6721,6 +6727,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -7418,6 +7425,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -8143,6 +8151,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -8840,6 +8849,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -9548,6 +9558,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -10245,6 +10256,7 @@
"testCaseConversationTurns": [ # The conversation turns uttered when the test case was created, in chronological order. These include the canonical set of agent utterances that should occur when the agent is working properly.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
diff --git a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.results.html b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.results.html
index b6e9a60..ee50ddc 100644
--- a/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.results.html
+++ b/docs/dyn/dialogflow_v3beta1.projects.locations.agents.testCases.results.html
@@ -110,6 +110,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
@@ -825,6 +826,7 @@
"conversationTurns": [ # The conversation turns uttered during the test case replay in chronological order.
{ # One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.
"userInput": { # The input from the human user. # The user input.
+ "enableSentimentAnalysis": True or False, # Whether sentiment analysis is enabled.
"injectedParameters": { # Parameters that need to be injected into the conversation during intent detection.
"a_key": "", # Properties of the object.
},
diff --git a/docs/dyn/gmail_v1.users.labels.html b/docs/dyn/gmail_v1.users.labels.html
index 2b827de..db4d225 100644
--- a/docs/dyn/gmail_v1.users.labels.html
+++ b/docs/dyn/gmail_v1.users.labels.html
@@ -110,7 +110,7 @@
body: object, The request body.
The object takes the form of:
-{ # Labels are used to categorize messages and threads within the user's mailbox.
+{ # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
@@ -134,7 +134,7 @@
Returns:
An object of the form:
- { # Labels are used to categorize messages and threads within the user's mailbox.
+ { # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
@@ -180,7 +180,7 @@
Returns:
An object of the form:
- { # Labels are used to categorize messages and threads within the user's mailbox.
+ { # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
@@ -213,7 +213,7 @@
{
"labels": [ # List of labels. Note that each label resource only contains an `id`, `name`, `messageListVisibility`, `labelListVisibility`, and `type`. The labels.get method can fetch additional label details.
- { # Labels are used to categorize messages and threads within the user's mailbox.
+ { # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
@@ -242,7 +242,7 @@
body: object, The request body.
The object takes the form of:
-{ # Labels are used to categorize messages and threads within the user's mailbox.
+{ # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
@@ -266,7 +266,7 @@
Returns:
An object of the form:
- { # Labels are used to categorize messages and threads within the user's mailbox.
+ { # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
@@ -293,7 +293,7 @@
body: object, The request body.
The object takes the form of:
-{ # Labels are used to categorize messages and threads within the user's mailbox.
+{ # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
@@ -317,7 +317,7 @@
Returns:
An object of the form:
- { # Labels are used to categorize messages and threads within the user's mailbox.
+ { # Labels are used to categorize messages and threads within the user's mailbox. The maximum number of labels supported for a user's mailbox is 10,000.
"color": { # The color to assign to the label. Color is only available for labels that have their `type` set to `user`.
"backgroundColor": "A String", # The background color represented as hex string #RRGGBB (ex #000000). This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
"textColor": "A String", # The text color of the label, represented as hex string. This field is required in order to set the color of a label. Only the following predefined set of color values are allowed: \#000000, #434343, #666666, #999999, #cccccc, #efefef, #f3f3f3, #ffffff, \#fb4c2f, #ffad47, #fad165, #16a766, #43d692, #4a86e8, #a479e2, #f691b3, \#f6c5be, #ffe6c7, #fef1d1, #b9e4d0, #c6f3de, #c9daf8, #e4d7f5, #fcdee8, \#efa093, #ffd6a2, #fce8b3, #89d3b2, #a0eac9, #a4c2f4, #d0bcf1, #fbc8d9, \#e66550, #ffbc6b, #fcda83, #44b984, #68dfa9, #6d9eeb, #b694e8, #f7a7c0, \#cc3a21, #eaa041, #f2c960, #149e60, #3dc789, #3c78d8, #8e63ce, #e07798, \#ac2b16, #cf8933, #d5ae49, #0b804b, #2a9c68, #285bac, #653e9b, #b65775, \#822111, #a46a21, #aa8831, #076239, #1a764d, #1c4587, #41236d, #83334c \#464646, #e7e7e7, #0d3472, #b6cff5, #0d3b44, #98d7e4, #3d188e, #e3d7ff, \#711a36, #fbd3e0, #8a1c0a, #f2b2a8, #7a2e0b, #ffc8af, #7a4706, #ffdeb5, \#594c05, #fbe983, #684e07, #fdedc1, #0b4f30, #b3efd3, #04502e, #a2dcc1, \#c2c2c2, #4986e7, #2da2bb, #b99aff, #994a64, #f691b2, #ff7537, #ffad46, \#662e37, #ebdbde, #cca6ac, #094228, #42d692, #16a765
diff --git a/docs/dyn/index.md b/docs/dyn/index.md
index 8716f09..d8a2066 100644
--- a/docs/dyn/index.md
+++ b/docs/dyn/index.md
@@ -118,10 +118,6 @@
* [v1](http://googleapis.github.io/google-api-python-client/docs/dyn/assuredworkloads_v1.html)
-## baremetalsolution
-* [v1](http://googleapis.github.io/google-api-python-client/docs/dyn/baremetalsolution_v1.html)
-
-
## bigquery
* [v2](http://googleapis.github.io/google-api-python-client/docs/dyn/bigquery_v2.html)
diff --git a/docs/dyn/osconfig_v1alpha.projects.locations.instanceOSPoliciesCompliances.html b/docs/dyn/osconfig_v1alpha.projects.locations.instanceOSPoliciesCompliances.html
index 879c01a..d53feb9 100644
--- a/docs/dyn/osconfig_v1alpha.projects.locations.instanceOSPoliciesCompliances.html
+++ b/docs/dyn/osconfig_v1alpha.projects.locations.instanceOSPoliciesCompliances.html
@@ -106,7 +106,7 @@
Returns:
An object of the form:
- { # This API resource represents the OS policies compliance data for a Compute Engine virtual machine (VM) instance at a given point in time. A Compute Engine VM can have multiple OS policy assignments, and each assignment can have multiple OS policies. As a result, multiple OS policies could be applied to a single VM. You can use this API resource to determine both the compliance state of your VM as well as the compliance state of an individual OS policy. For more information, see [View compliance](https://cloud.google.com/compute/docs/os-configuration-management/view-compliance).
+ { # This API resource represents the OS policies compliance data for a Compute Engine virtual machine (VM) instance at a given point in time. A Compute Engine VM can have multiple OS policy assignments, and each assignment can have multiple OS policies. As a result, multiple OS policies could be applied to a single VM. You can use this API resource to determine both the compliance state of your VM as well as the compliance state of an individual OS policy. For more information, see [View compliance](/compute/docs/os-configuration-management/view-compliance).
"detailedState": "A String", # Output only. Detailed compliance state of the VM. This field is populated only when compliance state is `UNKNOWN`. It may contain one of the following values: * `no-compliance-data`: Compliance data is not available for this VM. * `no-agent-detected`: OS Config agent is not detected for this VM. * `config-not-supported-by-agent`: The version of the OS Config agent running on this VM does not support configuration management. * `inactive`: VM is not running. * `internal-service-errors`: There were internal service errors encountered while enforcing compliance. * `agent-errors`: OS config agent encountered errors while enforcing compliance.
"detailedStateReason": "A String", # Output only. The reason for the `detailed_state` of the VM (if any).
"instance": "A String", # Output only. The Compute Engine VM instance name.
@@ -125,9 +125,6 @@
"type": "A String", # Configuration step type.
},
],
- "execResourceOutput": { # ExecResource specific output. # ExecResource specific output.
- "enforcementOutput": "A String", # Output from Enforcement phase output file (if run). Output size is limited to 100K bytes.
- },
"osPolicyResourceId": "A String", # The id of the OS policy resource.
"state": "A String", # Compliance state of the OS policy resource.
},
@@ -158,7 +155,7 @@
{ # A response message for listing OS policies compliance data for all Compute Engine VMs in the given location.
"instanceOsPoliciesCompliances": [ # List of instance OS policies compliance objects.
- { # This API resource represents the OS policies compliance data for a Compute Engine virtual machine (VM) instance at a given point in time. A Compute Engine VM can have multiple OS policy assignments, and each assignment can have multiple OS policies. As a result, multiple OS policies could be applied to a single VM. You can use this API resource to determine both the compliance state of your VM as well as the compliance state of an individual OS policy. For more information, see [View compliance](https://cloud.google.com/compute/docs/os-configuration-management/view-compliance).
+ { # This API resource represents the OS policies compliance data for a Compute Engine virtual machine (VM) instance at a given point in time. A Compute Engine VM can have multiple OS policy assignments, and each assignment can have multiple OS policies. As a result, multiple OS policies could be applied to a single VM. You can use this API resource to determine both the compliance state of your VM as well as the compliance state of an individual OS policy. For more information, see [View compliance](/compute/docs/os-configuration-management/view-compliance).
"detailedState": "A String", # Output only. Detailed compliance state of the VM. This field is populated only when compliance state is `UNKNOWN`. It may contain one of the following values: * `no-compliance-data`: Compliance data is not available for this VM. * `no-agent-detected`: OS Config agent is not detected for this VM. * `config-not-supported-by-agent`: The version of the OS Config agent running on this VM does not support configuration management. * `inactive`: VM is not running. * `internal-service-errors`: There were internal service errors encountered while enforcing compliance. * `agent-errors`: OS config agent encountered errors while enforcing compliance.
"detailedStateReason": "A String", # Output only. The reason for the `detailed_state` of the VM (if any).
"instance": "A String", # Output only. The Compute Engine VM instance name.
@@ -177,9 +174,6 @@
"type": "A String", # Configuration step type.
},
],
- "execResourceOutput": { # ExecResource specific output. # ExecResource specific output.
- "enforcementOutput": "A String", # Output from Enforcement phase output file (if run). Output size is limited to 100K bytes.
- },
"osPolicyResourceId": "A String", # The id of the OS policy resource.
"state": "A String", # Compliance state of the OS policy resource.
},
diff --git a/docs/dyn/osconfig_v1alpha.projects.locations.instances.inventories.html b/docs/dyn/osconfig_v1alpha.projects.locations.instances.inventories.html
index 19398df..8a359f2 100644
--- a/docs/dyn/osconfig_v1alpha.projects.locations.instances.inventories.html
+++ b/docs/dyn/osconfig_v1alpha.projects.locations.instances.inventories.html
@@ -111,7 +111,7 @@
Returns:
An object of the form:
- { # This API resource represents the available inventory data for a Compute Engine virtual machine (VM) instance at a given point in time. You can use this API resource to determine the inventory data of your VM. For more information, see [Information provided by OS inventory management](https://cloud.google.com/compute/docs/instances/os-inventory-management#data-collected).
+ { # This API resource represents the available inventory data for a Compute Engine virtual machine (VM) instance at a given point in time. You can use this API resource to determine the inventory data of your VM. For more information, see [Information provided by OS inventory management](/compute/docs/instances/os-inventory-management#data-collected).
"items": { # Output only. Inventory items related to the VM keyed by an opaque unique identifier for each inventory item. The identifier is unique to each distinct and addressable inventory item and will change, when there is a new package version.
"a_key": { # A single piece of inventory on a VM.
"availablePackage": { # Software package information of the operating system. # Software package available to be installed on the VM instance.
@@ -278,7 +278,7 @@
{ # A response message for listing inventory data for all VMs in a specified location.
"inventories": [ # List of inventory objects.
- { # This API resource represents the available inventory data for a Compute Engine virtual machine (VM) instance at a given point in time. You can use this API resource to determine the inventory data of your VM. For more information, see [Information provided by OS inventory management](https://cloud.google.com/compute/docs/instances/os-inventory-management#data-collected).
+ { # This API resource represents the available inventory data for a Compute Engine virtual machine (VM) instance at a given point in time. You can use this API resource to determine the inventory data of your VM. For more information, see [Information provided by OS inventory management](/compute/docs/instances/os-inventory-management#data-collected).
"items": { # Output only. Inventory items related to the VM keyed by an opaque unique identifier for each inventory item. The identifier is unique to each distinct and addressable inventory item and will change, when there is a new package version.
"a_key": { # A single piece of inventory on a VM.
"availablePackage": { # Software package information of the operating system. # Software package available to be installed on the VM instance.
diff --git a/docs/dyn/osconfig_v1alpha.projects.locations.instances.vulnerabilityReports.html b/docs/dyn/osconfig_v1alpha.projects.locations.instances.vulnerabilityReports.html
index 2547a77..e2a3866 100644
--- a/docs/dyn/osconfig_v1alpha.projects.locations.instances.vulnerabilityReports.html
+++ b/docs/dyn/osconfig_v1alpha.projects.locations.instances.vulnerabilityReports.html
@@ -106,7 +106,7 @@
Returns:
An object of the form:
- { # This API resource represents the vulnerability report for a specified Compute Engine virtual machine (VM) instance at a given point in time. For more information, see [Vulnerability reports](https://cloud.google.com/compute/docs/instances/os-inventory-management#vulnerability-reports).
+ { # This API resource represents the vulnerability report for a specified Compute Engine virtual machine (VM) instance at a given point in time. For more information, see [Vulnerability reports](/compute/docs/instances/os-inventory-management#vulnerability-reports).
"name": "A String", # Output only. The `vulnerabilityReport` API resource name. Format: `projects/{project_number}/locations/{location}/instances/{instance_id}/vulnerabilityReport`
"updateTime": "A String", # Output only. The timestamp for when the last vulnerability report was generated for the VM.
"vulnerabilities": [ # Output only. List of vulnerabilities affecting the VM.
@@ -168,7 +168,7 @@
{ # A response message for listing vulnerability reports for all VM instances in the specified location.
"nextPageToken": "A String", # The pagination token to retrieve the next page of vulnerabilityReports object.
"vulnerabilityReports": [ # List of vulnerabilityReport objects.
- { # This API resource represents the vulnerability report for a specified Compute Engine virtual machine (VM) instance at a given point in time. For more information, see [Vulnerability reports](https://cloud.google.com/compute/docs/instances/os-inventory-management#vulnerability-reports).
+ { # This API resource represents the vulnerability report for a specified Compute Engine virtual machine (VM) instance at a given point in time. For more information, see [Vulnerability reports](/compute/docs/instances/os-inventory-management#vulnerability-reports).
"name": "A String", # Output only. The `vulnerabilityReport` API resource name. Format: `projects/{project_number}/locations/{location}/instances/{instance_id}/vulnerabilityReport`
"updateTime": "A String", # Output only. The timestamp for when the last vulnerability report was generated for the VM.
"vulnerabilities": [ # Output only. List of vulnerabilities affecting the VM.
diff --git a/docs/dyn/osconfig_v1alpha.projects.locations.osPolicyAssignments.html b/docs/dyn/osconfig_v1alpha.projects.locations.osPolicyAssignments.html
index b5091cd..2c24de6 100644
--- a/docs/dyn/osconfig_v1alpha.projects.locations.osPolicyAssignments.html
+++ b/docs/dyn/osconfig_v1alpha.projects.locations.osPolicyAssignments.html
@@ -84,10 +84,10 @@
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#create">create(parent, body=None, osPolicyAssignmentId=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Create an OS policy assignment. This method also creates the first revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](https://cloud.google.com/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).</p>
+<p class="firstline">Create an OS policy assignment. This method also creates the first revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).</p>
<p class="toc_element">
<code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
-<p class="firstline">Delete the OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. If the LRO completes and is not cancelled, all revisions associated with the OS policy assignment are deleted. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](https://cloud.google.com/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).</p>
+<p class="firstline">Delete the OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. If the LRO completes and is not cancelled, all revisions associated with the OS policy assignment are deleted. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).</p>
<p class="toc_element">
<code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Retrieve an existing OS policy assignment. This method always returns the latest revision. In order to retrieve a previous revision of the assignment, also provide the revision ID in the `name` parameter.</p>
@@ -105,7 +105,7 @@
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
<code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Update an existing OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](https://cloud.google.com/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).</p>
+<p class="firstline">Update an existing OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="close">close()</code>
@@ -114,14 +114,14 @@
<div class="method">
<code class="details" id="create">create(parent, body=None, osPolicyAssignmentId=None, x__xgafv=None)</code>
- <pre>Create an OS policy assignment. This method also creates the first revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](https://cloud.google.com/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).
+ <pre>Create an OS policy assignment. This method also creates the first revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).
Args:
parent: string, Required. The parent resource name in the form: projects/{project}/locations/{location} (required)
body: object, The request body.
The object takes the form of:
-{ # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](https://cloud.google.com/compute/docs/os-configuration-management/working-with-os-policies).
+{ # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](/compute/docs/os-configuration-management/working-with-os-policies).
"baseline": True or False, # Output only. Indicates that this revision has been successfully rolled out in this zone and new VMs will be assigned OS policies from this revision. For a given OS policy assignment, there is only one revision with a value of `true` for this field.
"deleted": True or False, # Output only. Indicates that this revision deletes the OS policy assignment.
"description": "A String", # OS policy assignment description. Length of the description is limited to 1024 characters.
@@ -179,7 +179,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
"validate": { # A file or script to execute. # Required. What to run to validate this resource is in the desired state. An exit code of 100 indicates "in desired state", and exit code of 101 indicates "not in desired state". Any other exit code indicates a failure running validate.
@@ -200,7 +199,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
},
@@ -225,11 +223,11 @@
},
"id": "A String", # Required. The id of the resource with the following restrictions: * Must contain only lowercase letters, numbers, and hyphens. * Must start with a letter. * Must be between 1-63 characters. * Must end with a number or a letter. * Must be unique within the OS policy.
"pkg": { # A resource that manages a system package. # Package resource
- "apt": { # A package managed by APT. - install: `apt-get update && apt-get -y install [name]` - remove: `apt-get -y remove [name]` # A package managed by Apt.
+ "apt": { # A package managed by APT. install: `apt-get update && apt-get -y install [name]` remove: `apt-get -y remove [name]` # A package managed by Apt.
"name": "A String", # Required. Package name.
},
"deb": { # A deb package file. dpkg packages only support INSTALLED state. # A deb package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `dpkg -i package` - install when true: `apt-get update && apt-get -y install package.deb`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `dpkg -i package` install when true: `apt-get update && apt-get -y install package.deb`
"source": { # A remote or local file. # Required. A deb package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -245,11 +243,11 @@
},
},
"desiredState": "A String", # Required. The desired state the agent should maintain for this package.
- "googet": { # A package managed by GooGet. - install: `googet -noconfirm install package` - remove: `googet -noconfirm remove package` # A package managed by GooGet.
+ "googet": { # A package managed by GooGet. install: `googet -noconfirm install package` remove: `googet -noconfirm remove package` # A package managed by GooGet.
"name": "A String", # Required. Package name.
},
"msi": { # An MSI package. MSI packages only support INSTALLED state. # An MSI package.
- "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of `ACTION=INSTALL REBOOT=ReallySuppress`.
+ "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of "ACTION=INSTALL REBOOT=ReallySuppress".
"A String",
],
"source": { # A remote or local file. # Required. The MSI package.
@@ -267,7 +265,7 @@
},
},
"rpm": { # An RPM package file. RPM packages only support INSTALLED state. # An rpm package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `rpm --upgrade --replacepkgs package.rpm` - install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `rpm --upgrade --replacepkgs package.rpm` install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
"source": { # A remote or local file. # Required. An rpm package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -282,21 +280,21 @@
},
},
},
- "yum": { # A package managed by YUM. - install: `yum -y install package` - remove: `yum -y remove package` # A package managed by YUM.
+ "yum": { # A package managed by YUM. install: `yum -y install package` remove: `yum -y remove package` # A package managed by YUM.
"name": "A String", # Required. Package name.
},
- "zypper": { # A package managed by Zypper. - install: `zypper -y install package` - remove: `zypper -y rm package` # A package managed by Zypper.
+ "zypper": { # A package managed by Zypper. install: `zypper -y install package` remove: `zypper -y rm package` # A package managed by Zypper.
"name": "A String", # Required. Package name.
},
},
"repository": { # A resource that manages a package repository. # Package repository resource
- "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at `/etc/apt/sources.list.d/google_osconfig.list`. # An Apt Repository.
+ "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at /etc/apt/sources.list.d/google_osconfig.list. # An Apt Repository.
"archiveType": "A String", # Required. Type of archive files in this repository.
"components": [ # Required. List of components for this repository. Must contain at least one item.
"A String",
],
"distribution": "A String", # Required. Distribution of this repository.
- "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at `/etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg`.
+ "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at /etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg.
"uri": "A String", # Required. URI for this repository.
},
"goo": { # Represents a Goo package repository. These are added to a repo file that is managed at `C:/ProgramData/GooGet/repos/google_osconfig.repo`. # A Goo Repository.
@@ -372,7 +370,7 @@
<div class="method">
<code class="details" id="delete">delete(name, x__xgafv=None)</code>
- <pre>Delete the OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. If the LRO completes and is not cancelled, all revisions associated with the OS policy assignment are deleted. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](https://cloud.google.com/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).
+ <pre>Delete the OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. If the LRO completes and is not cancelled, all revisions associated with the OS policy assignment are deleted. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).
Args:
name: string, Required. The name of the OS policy assignment to be deleted (required)
@@ -419,7 +417,7 @@
Returns:
An object of the form:
- { # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](https://cloud.google.com/compute/docs/os-configuration-management/working-with-os-policies).
+ { # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](/compute/docs/os-configuration-management/working-with-os-policies).
"baseline": True or False, # Output only. Indicates that this revision has been successfully rolled out in this zone and new VMs will be assigned OS policies from this revision. For a given OS policy assignment, there is only one revision with a value of `true` for this field.
"deleted": True or False, # Output only. Indicates that this revision deletes the OS policy assignment.
"description": "A String", # OS policy assignment description. Length of the description is limited to 1024 characters.
@@ -477,7 +475,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
"validate": { # A file or script to execute. # Required. What to run to validate this resource is in the desired state. An exit code of 100 indicates "in desired state", and exit code of 101 indicates "not in desired state". Any other exit code indicates a failure running validate.
@@ -498,7 +495,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
},
@@ -523,11 +519,11 @@
},
"id": "A String", # Required. The id of the resource with the following restrictions: * Must contain only lowercase letters, numbers, and hyphens. * Must start with a letter. * Must be between 1-63 characters. * Must end with a number or a letter. * Must be unique within the OS policy.
"pkg": { # A resource that manages a system package. # Package resource
- "apt": { # A package managed by APT. - install: `apt-get update && apt-get -y install [name]` - remove: `apt-get -y remove [name]` # A package managed by Apt.
+ "apt": { # A package managed by APT. install: `apt-get update && apt-get -y install [name]` remove: `apt-get -y remove [name]` # A package managed by Apt.
"name": "A String", # Required. Package name.
},
"deb": { # A deb package file. dpkg packages only support INSTALLED state. # A deb package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `dpkg -i package` - install when true: `apt-get update && apt-get -y install package.deb`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `dpkg -i package` install when true: `apt-get update && apt-get -y install package.deb`
"source": { # A remote or local file. # Required. A deb package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -543,11 +539,11 @@
},
},
"desiredState": "A String", # Required. The desired state the agent should maintain for this package.
- "googet": { # A package managed by GooGet. - install: `googet -noconfirm install package` - remove: `googet -noconfirm remove package` # A package managed by GooGet.
+ "googet": { # A package managed by GooGet. install: `googet -noconfirm install package` remove: `googet -noconfirm remove package` # A package managed by GooGet.
"name": "A String", # Required. Package name.
},
"msi": { # An MSI package. MSI packages only support INSTALLED state. # An MSI package.
- "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of `ACTION=INSTALL REBOOT=ReallySuppress`.
+ "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of "ACTION=INSTALL REBOOT=ReallySuppress".
"A String",
],
"source": { # A remote or local file. # Required. The MSI package.
@@ -565,7 +561,7 @@
},
},
"rpm": { # An RPM package file. RPM packages only support INSTALLED state. # An rpm package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `rpm --upgrade --replacepkgs package.rpm` - install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `rpm --upgrade --replacepkgs package.rpm` install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
"source": { # A remote or local file. # Required. An rpm package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -580,21 +576,21 @@
},
},
},
- "yum": { # A package managed by YUM. - install: `yum -y install package` - remove: `yum -y remove package` # A package managed by YUM.
+ "yum": { # A package managed by YUM. install: `yum -y install package` remove: `yum -y remove package` # A package managed by YUM.
"name": "A String", # Required. Package name.
},
- "zypper": { # A package managed by Zypper. - install: `zypper -y install package` - remove: `zypper -y rm package` # A package managed by Zypper.
+ "zypper": { # A package managed by Zypper. install: `zypper -y install package` remove: `zypper -y rm package` # A package managed by Zypper.
"name": "A String", # Required. Package name.
},
},
"repository": { # A resource that manages a package repository. # Package repository resource
- "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at `/etc/apt/sources.list.d/google_osconfig.list`. # An Apt Repository.
+ "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at /etc/apt/sources.list.d/google_osconfig.list. # An Apt Repository.
"archiveType": "A String", # Required. Type of archive files in this repository.
"components": [ # Required. List of components for this repository. Must contain at least one item.
"A String",
],
"distribution": "A String", # Required. Distribution of this repository.
- "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at `/etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg`.
+ "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at /etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg.
"uri": "A String", # Required. URI for this repository.
},
"goo": { # Represents a Goo package repository. These are added to a repo file that is managed at `C:/ProgramData/GooGet/repos/google_osconfig.repo`. # A Goo Repository.
@@ -658,7 +654,7 @@
{ # A response message for listing all assignments under given parent.
"nextPageToken": "A String", # The pagination token to retrieve the next page of OS policy assignments.
"osPolicyAssignments": [ # The list of assignments
- { # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](https://cloud.google.com/compute/docs/os-configuration-management/working-with-os-policies).
+ { # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](/compute/docs/os-configuration-management/working-with-os-policies).
"baseline": True or False, # Output only. Indicates that this revision has been successfully rolled out in this zone and new VMs will be assigned OS policies from this revision. For a given OS policy assignment, there is only one revision with a value of `true` for this field.
"deleted": True or False, # Output only. Indicates that this revision deletes the OS policy assignment.
"description": "A String", # OS policy assignment description. Length of the description is limited to 1024 characters.
@@ -716,7 +712,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
"validate": { # A file or script to execute. # Required. What to run to validate this resource is in the desired state. An exit code of 100 indicates "in desired state", and exit code of 101 indicates "not in desired state". Any other exit code indicates a failure running validate.
@@ -737,7 +732,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
},
@@ -762,11 +756,11 @@
},
"id": "A String", # Required. The id of the resource with the following restrictions: * Must contain only lowercase letters, numbers, and hyphens. * Must start with a letter. * Must be between 1-63 characters. * Must end with a number or a letter. * Must be unique within the OS policy.
"pkg": { # A resource that manages a system package. # Package resource
- "apt": { # A package managed by APT. - install: `apt-get update && apt-get -y install [name]` - remove: `apt-get -y remove [name]` # A package managed by Apt.
+ "apt": { # A package managed by APT. install: `apt-get update && apt-get -y install [name]` remove: `apt-get -y remove [name]` # A package managed by Apt.
"name": "A String", # Required. Package name.
},
"deb": { # A deb package file. dpkg packages only support INSTALLED state. # A deb package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `dpkg -i package` - install when true: `apt-get update && apt-get -y install package.deb`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `dpkg -i package` install when true: `apt-get update && apt-get -y install package.deb`
"source": { # A remote or local file. # Required. A deb package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -782,11 +776,11 @@
},
},
"desiredState": "A String", # Required. The desired state the agent should maintain for this package.
- "googet": { # A package managed by GooGet. - install: `googet -noconfirm install package` - remove: `googet -noconfirm remove package` # A package managed by GooGet.
+ "googet": { # A package managed by GooGet. install: `googet -noconfirm install package` remove: `googet -noconfirm remove package` # A package managed by GooGet.
"name": "A String", # Required. Package name.
},
"msi": { # An MSI package. MSI packages only support INSTALLED state. # An MSI package.
- "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of `ACTION=INSTALL REBOOT=ReallySuppress`.
+ "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of "ACTION=INSTALL REBOOT=ReallySuppress".
"A String",
],
"source": { # A remote or local file. # Required. The MSI package.
@@ -804,7 +798,7 @@
},
},
"rpm": { # An RPM package file. RPM packages only support INSTALLED state. # An rpm package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `rpm --upgrade --replacepkgs package.rpm` - install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `rpm --upgrade --replacepkgs package.rpm` install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
"source": { # A remote or local file. # Required. An rpm package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -819,21 +813,21 @@
},
},
},
- "yum": { # A package managed by YUM. - install: `yum -y install package` - remove: `yum -y remove package` # A package managed by YUM.
+ "yum": { # A package managed by YUM. install: `yum -y install package` remove: `yum -y remove package` # A package managed by YUM.
"name": "A String", # Required. Package name.
},
- "zypper": { # A package managed by Zypper. - install: `zypper -y install package` - remove: `zypper -y rm package` # A package managed by Zypper.
+ "zypper": { # A package managed by Zypper. install: `zypper -y install package` remove: `zypper -y rm package` # A package managed by Zypper.
"name": "A String", # Required. Package name.
},
},
"repository": { # A resource that manages a package repository. # Package repository resource
- "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at `/etc/apt/sources.list.d/google_osconfig.list`. # An Apt Repository.
+ "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at /etc/apt/sources.list.d/google_osconfig.list. # An Apt Repository.
"archiveType": "A String", # Required. Type of archive files in this repository.
"components": [ # Required. List of components for this repository. Must contain at least one item.
"A String",
],
"distribution": "A String", # Required. Distribution of this repository.
- "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at `/etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg`.
+ "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at /etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg.
"uri": "A String", # Required. URI for this repository.
},
"goo": { # Represents a Goo package repository. These are added to a repo file that is managed at `C:/ProgramData/GooGet/repos/google_osconfig.repo`. # A Goo Repository.
@@ -899,7 +893,7 @@
{ # A response message for listing all revisions for a OS policy assignment.
"nextPageToken": "A String", # The pagination token to retrieve the next page of OS policy assignment revisions.
"osPolicyAssignments": [ # The OS policy assignment revisions
- { # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](https://cloud.google.com/compute/docs/os-configuration-management/working-with-os-policies).
+ { # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](/compute/docs/os-configuration-management/working-with-os-policies).
"baseline": True or False, # Output only. Indicates that this revision has been successfully rolled out in this zone and new VMs will be assigned OS policies from this revision. For a given OS policy assignment, there is only one revision with a value of `true` for this field.
"deleted": True or False, # Output only. Indicates that this revision deletes the OS policy assignment.
"description": "A String", # OS policy assignment description. Length of the description is limited to 1024 characters.
@@ -957,7 +951,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
"validate": { # A file or script to execute. # Required. What to run to validate this resource is in the desired state. An exit code of 100 indicates "in desired state", and exit code of 101 indicates "not in desired state". Any other exit code indicates a failure running validate.
@@ -978,7 +971,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
},
@@ -1003,11 +995,11 @@
},
"id": "A String", # Required. The id of the resource with the following restrictions: * Must contain only lowercase letters, numbers, and hyphens. * Must start with a letter. * Must be between 1-63 characters. * Must end with a number or a letter. * Must be unique within the OS policy.
"pkg": { # A resource that manages a system package. # Package resource
- "apt": { # A package managed by APT. - install: `apt-get update && apt-get -y install [name]` - remove: `apt-get -y remove [name]` # A package managed by Apt.
+ "apt": { # A package managed by APT. install: `apt-get update && apt-get -y install [name]` remove: `apt-get -y remove [name]` # A package managed by Apt.
"name": "A String", # Required. Package name.
},
"deb": { # A deb package file. dpkg packages only support INSTALLED state. # A deb package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `dpkg -i package` - install when true: `apt-get update && apt-get -y install package.deb`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `dpkg -i package` install when true: `apt-get update && apt-get -y install package.deb`
"source": { # A remote or local file. # Required. A deb package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -1023,11 +1015,11 @@
},
},
"desiredState": "A String", # Required. The desired state the agent should maintain for this package.
- "googet": { # A package managed by GooGet. - install: `googet -noconfirm install package` - remove: `googet -noconfirm remove package` # A package managed by GooGet.
+ "googet": { # A package managed by GooGet. install: `googet -noconfirm install package` remove: `googet -noconfirm remove package` # A package managed by GooGet.
"name": "A String", # Required. Package name.
},
"msi": { # An MSI package. MSI packages only support INSTALLED state. # An MSI package.
- "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of `ACTION=INSTALL REBOOT=ReallySuppress`.
+ "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of "ACTION=INSTALL REBOOT=ReallySuppress".
"A String",
],
"source": { # A remote or local file. # Required. The MSI package.
@@ -1045,7 +1037,7 @@
},
},
"rpm": { # An RPM package file. RPM packages only support INSTALLED state. # An rpm package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `rpm --upgrade --replacepkgs package.rpm` - install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `rpm --upgrade --replacepkgs package.rpm` install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
"source": { # A remote or local file. # Required. An rpm package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -1060,21 +1052,21 @@
},
},
},
- "yum": { # A package managed by YUM. - install: `yum -y install package` - remove: `yum -y remove package` # A package managed by YUM.
+ "yum": { # A package managed by YUM. install: `yum -y install package` remove: `yum -y remove package` # A package managed by YUM.
"name": "A String", # Required. Package name.
},
- "zypper": { # A package managed by Zypper. - install: `zypper -y install package` - remove: `zypper -y rm package` # A package managed by Zypper.
+ "zypper": { # A package managed by Zypper. install: `zypper -y install package` remove: `zypper -y rm package` # A package managed by Zypper.
"name": "A String", # Required. Package name.
},
},
"repository": { # A resource that manages a package repository. # Package repository resource
- "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at `/etc/apt/sources.list.d/google_osconfig.list`. # An Apt Repository.
+ "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at /etc/apt/sources.list.d/google_osconfig.list. # An Apt Repository.
"archiveType": "A String", # Required. Type of archive files in this repository.
"components": [ # Required. List of components for this repository. Must contain at least one item.
"A String",
],
"distribution": "A String", # Required. Distribution of this repository.
- "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at `/etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg`.
+ "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at /etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg.
"uri": "A String", # Required. URI for this repository.
},
"goo": { # Represents a Goo package repository. These are added to a repo file that is managed at `C:/ProgramData/GooGet/repos/google_osconfig.repo`. # A Goo Repository.
@@ -1151,14 +1143,14 @@
<div class="method">
<code class="details" id="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code>
- <pre>Update an existing OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](https://cloud.google.com/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).
+ <pre>Update an existing OS policy assignment. This method creates a new revision of the OS policy assignment. This method returns a long running operation (LRO) that contains the rollout details. The rollout can be cancelled by cancelling the LRO. For more information, see [Method: projects.locations.osPolicyAssignments.operations.cancel](/compute/docs/osconfig/rest/v1alpha/projects.locations.osPolicyAssignments.operations/cancel).
Args:
name: string, Resource name. Format: `projects/{project_number}/locations/{location}/osPolicyAssignments/{os_policy_assignment_id}` This field is ignored when you create an OS policy assignment. (required)
body: object, The request body.
The object takes the form of:
-{ # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](https://cloud.google.com/compute/docs/os-configuration-management/working-with-os-policies).
+{ # OS policy assignment is an API resource that is used to apply a set of OS policies to a dynamically targeted group of Compute Engine VM instances. An OS policy is used to define the desired state configuration for a Compute Engine VM instance through a set of configuration resources that provide capabilities such as installing or removing software packages, or executing a script. For more information, see [OS policy and OS policy assignment](/compute/docs/os-configuration-management/working-with-os-policies).
"baseline": True or False, # Output only. Indicates that this revision has been successfully rolled out in this zone and new VMs will be assigned OS policies from this revision. For a given OS policy assignment, there is only one revision with a value of `true` for this field.
"deleted": True or False, # Output only. Indicates that this revision deletes the OS policy assignment.
"description": "A String", # OS policy assignment description. Length of the description is limited to 1024 characters.
@@ -1216,7 +1208,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
"validate": { # A file or script to execute. # Required. What to run to validate this resource is in the desired state. An exit code of 100 indicates "in desired state", and exit code of 101 indicates "not in desired state". Any other exit code indicates a failure running validate.
@@ -1237,7 +1228,6 @@
},
},
"interpreter": "A String", # Required. The script interpreter to use.
- "outputFilePath": "A String", # Only recorded for enforce Exec. Path to an output file (that is created by this Exec) whose content will be recorded in OSPolicyResourceCompliance after a successful run. Absence or failure to read this file will result in this ExecResource being non-compliant. Output file size is limited to 100K bytes.
"script": "A String", # An inline script. The size of the script is limited to 1024 characters.
},
},
@@ -1262,11 +1252,11 @@
},
"id": "A String", # Required. The id of the resource with the following restrictions: * Must contain only lowercase letters, numbers, and hyphens. * Must start with a letter. * Must be between 1-63 characters. * Must end with a number or a letter. * Must be unique within the OS policy.
"pkg": { # A resource that manages a system package. # Package resource
- "apt": { # A package managed by APT. - install: `apt-get update && apt-get -y install [name]` - remove: `apt-get -y remove [name]` # A package managed by Apt.
+ "apt": { # A package managed by APT. install: `apt-get update && apt-get -y install [name]` remove: `apt-get -y remove [name]` # A package managed by Apt.
"name": "A String", # Required. Package name.
},
"deb": { # A deb package file. dpkg packages only support INSTALLED state. # A deb package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `dpkg -i package` - install when true: `apt-get update && apt-get -y install package.deb`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `dpkg -i package` install when true: `apt-get update && apt-get -y install package.deb`
"source": { # A remote or local file. # Required. A deb package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -1282,11 +1272,11 @@
},
},
"desiredState": "A String", # Required. The desired state the agent should maintain for this package.
- "googet": { # A package managed by GooGet. - install: `googet -noconfirm install package` - remove: `googet -noconfirm remove package` # A package managed by GooGet.
+ "googet": { # A package managed by GooGet. install: `googet -noconfirm install package` remove: `googet -noconfirm remove package` # A package managed by GooGet.
"name": "A String", # Required. Package name.
},
"msi": { # An MSI package. MSI packages only support INSTALLED state. # An MSI package.
- "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of `ACTION=INSTALL REBOOT=ReallySuppress`.
+ "properties": [ # Additional properties to use during installation. This should be in the format of Property=Setting. Appended to the defaults of "ACTION=INSTALL REBOOT=ReallySuppress".
"A String",
],
"source": { # A remote or local file. # Required. The MSI package.
@@ -1304,7 +1294,7 @@
},
},
"rpm": { # An RPM package file. RPM packages only support INSTALLED state. # An rpm package file.
- "pullDeps": True or False, # Whether dependencies should also be installed. - install when false: `rpm --upgrade --replacepkgs package.rpm` - install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
+ "pullDeps": True or False, # Whether dependencies should also be installed. install when false: `rpm --upgrade --replacepkgs package.rpm` install when true: `yum -y install package.rpm` or `zypper -y install package.rpm`
"source": { # A remote or local file. # Required. An rpm package.
"allowInsecure": True or False, # Defaults to false. When false, files are subject to validations based on the file type: Remote: A checksum must be specified. Cloud Storage: An object generation number must be specified.
"gcs": { # Specifies a file available as a Cloud Storage Object. # A Cloud Storage object.
@@ -1319,21 +1309,21 @@
},
},
},
- "yum": { # A package managed by YUM. - install: `yum -y install package` - remove: `yum -y remove package` # A package managed by YUM.
+ "yum": { # A package managed by YUM. install: `yum -y install package` remove: `yum -y remove package` # A package managed by YUM.
"name": "A String", # Required. Package name.
},
- "zypper": { # A package managed by Zypper. - install: `zypper -y install package` - remove: `zypper -y rm package` # A package managed by Zypper.
+ "zypper": { # A package managed by Zypper. install: `zypper -y install package` remove: `zypper -y rm package` # A package managed by Zypper.
"name": "A String", # Required. Package name.
},
},
"repository": { # A resource that manages a package repository. # Package repository resource
- "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at `/etc/apt/sources.list.d/google_osconfig.list`. # An Apt Repository.
+ "apt": { # Represents a single apt package repository. These will be added to a repo file that will be managed at /etc/apt/sources.list.d/google_osconfig.list. # An Apt Repository.
"archiveType": "A String", # Required. Type of archive files in this repository.
"components": [ # Required. List of components for this repository. Must contain at least one item.
"A String",
],
"distribution": "A String", # Required. Distribution of this repository.
- "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at `/etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg`.
+ "gpgKey": "A String", # URI of the key file for this repository. The agent maintains a keyring at /etc/apt/trusted.gpg.d/osconfig_agent_managed.gpg.
"uri": "A String", # Required. URI for this repository.
},
"goo": { # Represents a Goo package repository. These are added to a repo file that is managed at `C:/ProgramData/GooGet/repos/google_osconfig.repo`. # A Goo Repository.
diff --git a/docs/dyn/people_v1.contactGroups.html b/docs/dyn/people_v1.contactGroups.html
index 04ac990..fa389b1 100644
--- a/docs/dyn/people_v1.contactGroups.html
+++ b/docs/dyn/people_v1.contactGroups.html
@@ -111,7 +111,7 @@
Args:
groupFields: string, Optional. A field mask to restrict which fields on the group are returned. Defaults to `metadata`, `groupType`, `memberCount`, and `name` if not set or set to empty. Valid fields are: * clientData * groupType * memberCount * metadata * name
maxMembers: integer, Optional. Specifies the maximum number of members to return for each group. Defaults to 0 if not set, which will return zero members.
- resourceNames: string, Required. The resource names of the contact groups to get. (repeated)
+ resourceNames: string, Required. The resource names of the contact groups to get. There is a maximum of 200 resource names. (repeated)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
diff --git a/docs/dyn/people_v1.people.html b/docs/dyn/people_v1.people.html
index 2e17b72..3ca99c8 100644
--- a/docs/dyn/people_v1.people.html
+++ b/docs/dyn/people_v1.people.html
@@ -7086,7 +7086,7 @@
Args:
personFields: string, Required. A field mask to restrict which fields on each person are returned. Multiple fields can be specified by separating them with commas. Valid values are: * addresses * ageRanges * biographies * birthdays * calendarUrls * clientData * coverPhotos * emailAddresses * events * externalIds * genders * imClients * interests * locales * locations * memberships * metadata * miscKeywords * names * nicknames * occupations * organizations * phoneNumbers * photos * relations * sipAddresses * skills * urls * userDefined
requestMask_includeField: string, Required. Comma-separated list of person fields to be included in the response. Each path should start with `person.`: for example, `person.names` or `person.photos`.
- resourceNames: string, Required. The resource names of the people to provide information about. It's repeatable. The URL query parameter should be resourceNames=<name1>&resourceNames=<name2>&... - To get information about the authenticated user, specify `people/me`. - To get information about a google account, specify `people/{account_id}`. - To get information about a contact, specify the resource name that identifies the contact as returned by [`people.connections.list`](/people/api/rest/v1/people.connections/list). You can include up to 200 resource names in one request. (repeated)
+ resourceNames: string, Required. The resource names of the people to provide information about. It's repeatable. The URL query parameter should be resourceNames=<name1>&resourceNames=<name2>&... - To get information about the authenticated user, specify `people/me`. - To get information about a google account, specify `people/{account_id}`. - To get information about a contact, specify the resource name that identifies the contact as returned by [`people.connections.list`](/people/api/rest/v1/people.connections/list). There is a maximum of 200 resource names. (repeated)
sources: string, Optional. A mask of what source types to return. Defaults to READ_SOURCE_TYPE_CONTACT and READ_SOURCE_TYPE_PROFILE if not set. (repeated)
Allowed values
READ_SOURCE_TYPE_UNSPECIFIED - Unspecified.
diff --git a/docs/dyn/retail_v2.projects.locations.catalogs.placements.html b/docs/dyn/retail_v2.projects.locations.catalogs.placements.html
index 57e0594..643974d 100644
--- a/docs/dyn/retail_v2.projects.locations.catalogs.placements.html
+++ b/docs/dyn/retail_v2.projects.locations.catalogs.placements.html
@@ -119,7 +119,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
diff --git a/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html b/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html
index d63a972..45bb8be 100644
--- a/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html
+++ b/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html
@@ -169,7 +169,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
@@ -383,7 +383,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
@@ -478,7 +478,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html
index f8cfcdd..d0c40b9 100644
--- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html
+++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html
@@ -119,7 +119,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html
index b53fd81..50784d9 100644
--- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html
+++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html
@@ -169,7 +169,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
@@ -383,7 +383,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
@@ -478,7 +478,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html
index 6b7e153..1caef0c 100644
--- a/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html
+++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html
@@ -119,7 +119,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html
index d9a5294..6e7ed84 100644
--- a/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html
+++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html
@@ -169,7 +169,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
@@ -383,7 +383,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
@@ -478,7 +478,7 @@
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The id or name of the associated shopping cart. This id is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
- "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
+ "eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `completion`: Completion query result showed/clicked. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
diff --git a/docs/dyn/sasportal_v1alpha1.policies.html b/docs/dyn/sasportal_v1alpha1.policies.html
index 29e6e82..f31edc7 100644
--- a/docs/dyn/sasportal_v1alpha1.policies.html
+++ b/docs/dyn/sasportal_v1alpha1.policies.html
@@ -134,6 +134,7 @@
The object takes the form of:
{ # Request message for `SetPolicy` method.
+ "disableNotification": True or False, # Optional. Set the field as true when we would like to disable the onboarding notification.
"policy": { # Defines an access control policy to the resources. # Required. The policy to be applied to the `resource`.
"assignments": [ # List of assignments
{ # Associates `members` with a `role`.
diff --git a/docs/dyn/spanner_v1.projects.instances.databases.sessions.html b/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
index 1cbdde8..936dae8 100644
--- a/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
+++ b/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
@@ -337,7 +337,7 @@
{ # The response for Commit.
"commitStats": { # Additional statistics about a commit. # The statistics about this Commit. Not returned by default. For more information, see CommitRequest.return_commit_stats.
- "mutationCount": "A String", # The total number of mutations for the transaction. Knowing the `mutation_count` value can help you maximize the number of mutations in a transaction and minimize the number of API round trips. You can also monitor this value to prevent transactions from exceeding the system [limit](https://cloud.google.com/spanner/quotas#limits_for_creating_reading_updating_and_deleting_data). If the number of mutations exceeds the limit, the server returns [INVALID_ARGUMENT](https://cloud.google.com/spanner/docs/reference/rest/v1/Code#ENUM_VALUES.INVALID_ARGUMENT).
+ "mutationCount": "A String", # The total number of mutations for the transaction. Knowing the `mutation_count` value can help you maximize the number of mutations in a transaction and minimize the number of API round trips. You can also monitor this value to prevent transactions from exceeding the system [limit](http://cloud.google.com/spanner/quotas#limits_for_creating_reading_updating_and_deleting_data). If the number of mutations exceeds the limit, the server returns [INVALID_ARGUMENT](http://cloud.google.com/spanner/docs/reference/rest/v1/Code#ENUM_VALUES.INVALID_ARGUMENT).
},
"commitTimestamp": "A String", # The Cloud Spanner timestamp at which the transaction committed.
}</pre>
@@ -421,14 +421,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the DML string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names can contain letters, numbers, and underscores. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -486,7 +479,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -563,14 +560,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the SQL string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names must conform to the naming requirements of identifiers as specified at https://cloud.google.com/spanner/docs/lexical#identifiers. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -637,7 +627,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -703,14 +697,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the SQL string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names must conform to the naming requirements of identifiers as specified at https://cloud.google.com/spanner/docs/lexical#identifiers. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -778,7 +765,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -913,14 +904,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the SQL string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names can contain letters, numbers, and underscores. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -1176,7 +1160,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -1348,7 +1336,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
diff --git a/docs/dyn/sqladmin_v1beta4.instances.html b/docs/dyn/sqladmin_v1beta4.instances.html
index 6f2bbf8..b5d424b 100644
--- a/docs/dyn/sqladmin_v1beta4.instances.html
+++ b/docs/dyn/sqladmin_v1beta4.instances.html
@@ -844,7 +844,7 @@
"selfLink": "A String", # The URI of this resource.
"sha1Fingerprint": "A String", # Sha1 Fingerprint.
},
- "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is applicable only to Second Generation instances.
+ "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is read-only.
"settings": { # Database instance settings. # The user settings.
"activationPolicy": "A String", # The activation policy specifies when the instance is activated; it is applicable only when the instance state is RUNNABLE. Valid values: *ALWAYS*: The instance is on, and remains so even in the absence of connection requests. *NEVER*: The instance is off; it is not activated, even if a connection request arrives.
"activeDirectoryConfig": { # Active Directory configuration, relevant only for Cloud SQL for SQL Server. # Active Directory configuration, relevant only for Cloud SQL for SQL Server.
@@ -889,6 +889,7 @@
],
"insightsConfig": { # Insights configuration. This specifies when Cloud SQL Insights feature is enabled and optional configuration. # Insights configuration, for now relevant only for Postgres.
"queryInsightsEnabled": True or False, # Whether Query Insights feature is enabled.
+ "queryPlansPerMinute": 42, # Number of query plans generated by Insights per minute. Default is 5. Changing this will restart the database.
"queryStringLength": 42, # Maximum query length stored in bytes. Default value: 1024 bytes. Range: 256-4500 bytes. Query length more than this field value will be truncated to this value. When unset, query length will be the default value. Changing query length will restart the database.
"recordApplicationTags": True or False, # Whether Query Insights will record application tags from query when enabled.
"recordClientAddress": True or False, # Whether Query Insights will record client address when enabled.
@@ -1145,7 +1146,7 @@
"selfLink": "A String", # The URI of this resource.
"sha1Fingerprint": "A String", # Sha1 Fingerprint.
},
- "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is applicable only to Second Generation instances.
+ "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is read-only.
"settings": { # Database instance settings. # The user settings.
"activationPolicy": "A String", # The activation policy specifies when the instance is activated; it is applicable only when the instance state is RUNNABLE. Valid values: *ALWAYS*: The instance is on, and remains so even in the absence of connection requests. *NEVER*: The instance is off; it is not activated, even if a connection request arrives.
"activeDirectoryConfig": { # Active Directory configuration, relevant only for Cloud SQL for SQL Server. # Active Directory configuration, relevant only for Cloud SQL for SQL Server.
@@ -1190,6 +1191,7 @@
],
"insightsConfig": { # Insights configuration. This specifies when Cloud SQL Insights feature is enabled and optional configuration. # Insights configuration, for now relevant only for Postgres.
"queryInsightsEnabled": True or False, # Whether Query Insights feature is enabled.
+ "queryPlansPerMinute": 42, # Number of query plans generated by Insights per minute. Default is 5. Changing this will restart the database.
"queryStringLength": 42, # Maximum query length stored in bytes. Default value: 1024 bytes. Range: 256-4500 bytes. Query length more than this field value will be truncated to this value. When unset, query length will be the default value. Changing query length will restart the database.
"recordApplicationTags": True or False, # Whether Query Insights will record application tags from query when enabled.
"recordClientAddress": True or False, # Whether Query Insights will record client address when enabled.
@@ -1422,7 +1424,7 @@
"selfLink": "A String", # The URI of this resource.
"sha1Fingerprint": "A String", # Sha1 Fingerprint.
},
- "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is applicable only to Second Generation instances.
+ "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is read-only.
"settings": { # Database instance settings. # The user settings.
"activationPolicy": "A String", # The activation policy specifies when the instance is activated; it is applicable only when the instance state is RUNNABLE. Valid values: *ALWAYS*: The instance is on, and remains so even in the absence of connection requests. *NEVER*: The instance is off; it is not activated, even if a connection request arrives.
"activeDirectoryConfig": { # Active Directory configuration, relevant only for Cloud SQL for SQL Server. # Active Directory configuration, relevant only for Cloud SQL for SQL Server.
@@ -1467,6 +1469,7 @@
],
"insightsConfig": { # Insights configuration. This specifies when Cloud SQL Insights feature is enabled and optional configuration. # Insights configuration, for now relevant only for Postgres.
"queryInsightsEnabled": True or False, # Whether Query Insights feature is enabled.
+ "queryPlansPerMinute": 42, # Number of query plans generated by Insights per minute. Default is 5. Changing this will restart the database.
"queryStringLength": 42, # Maximum query length stored in bytes. Default value: 1024 bytes. Range: 256-4500 bytes. Query length more than this field value will be truncated to this value. When unset, query length will be the default value. Changing query length will restart the database.
"recordApplicationTags": True or False, # Whether Query Insights will record application tags from query when enabled.
"recordClientAddress": True or False, # Whether Query Insights will record client address when enabled.
@@ -1671,7 +1674,7 @@
"selfLink": "A String", # The URI of this resource.
"sha1Fingerprint": "A String", # Sha1 Fingerprint.
},
- "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is applicable only to Second Generation instances.
+ "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is read-only.
"settings": { # Database instance settings. # The user settings.
"activationPolicy": "A String", # The activation policy specifies when the instance is activated; it is applicable only when the instance state is RUNNABLE. Valid values: *ALWAYS*: The instance is on, and remains so even in the absence of connection requests. *NEVER*: The instance is off; it is not activated, even if a connection request arrives.
"activeDirectoryConfig": { # Active Directory configuration, relevant only for Cloud SQL for SQL Server. # Active Directory configuration, relevant only for Cloud SQL for SQL Server.
@@ -1716,6 +1719,7 @@
],
"insightsConfig": { # Insights configuration. This specifies when Cloud SQL Insights feature is enabled and optional configuration. # Insights configuration, for now relevant only for Postgres.
"queryInsightsEnabled": True or False, # Whether Query Insights feature is enabled.
+ "queryPlansPerMinute": 42, # Number of query plans generated by Insights per minute. Default is 5. Changing this will restart the database.
"queryStringLength": 42, # Maximum query length stored in bytes. Default value: 1024 bytes. Range: 256-4500 bytes. Query length more than this field value will be truncated to this value. When unset, query length will be the default value. Changing query length will restart the database.
"recordApplicationTags": True or False, # Whether Query Insights will record application tags from query when enabled.
"recordClientAddress": True or False, # Whether Query Insights will record client address when enabled.
@@ -2659,7 +2663,7 @@
"selfLink": "A String", # The URI of this resource.
"sha1Fingerprint": "A String", # Sha1 Fingerprint.
},
- "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is applicable only to Second Generation instances.
+ "serviceAccountEmailAddress": "A String", # The service account email address assigned to the instance. This property is read-only.
"settings": { # Database instance settings. # The user settings.
"activationPolicy": "A String", # The activation policy specifies when the instance is activated; it is applicable only when the instance state is RUNNABLE. Valid values: *ALWAYS*: The instance is on, and remains so even in the absence of connection requests. *NEVER*: The instance is off; it is not activated, even if a connection request arrives.
"activeDirectoryConfig": { # Active Directory configuration, relevant only for Cloud SQL for SQL Server. # Active Directory configuration, relevant only for Cloud SQL for SQL Server.
@@ -2704,6 +2708,7 @@
],
"insightsConfig": { # Insights configuration. This specifies when Cloud SQL Insights feature is enabled and optional configuration. # Insights configuration, for now relevant only for Postgres.
"queryInsightsEnabled": True or False, # Whether Query Insights feature is enabled.
+ "queryPlansPerMinute": 42, # Number of query plans generated by Insights per minute. Default is 5. Changing this will restart the database.
"queryStringLength": 42, # Maximum query length stored in bytes. Default value: 1024 bytes. Range: 256-4500 bytes. Query length more than this field value will be truncated to this value. When unset, query length will be the default value. Changing query length will restart the database.
"recordApplicationTags": True or False, # Whether Query Insights will record application tags from query when enabled.
"recordClientAddress": True or False, # Whether Query Insights will record client address when enabled.
diff --git a/docs/dyn/texttospeech_v1beta1.text.html b/docs/dyn/texttospeech_v1beta1.text.html
index 5233a02..f9c67f8 100644
--- a/docs/dyn/texttospeech_v1beta1.text.html
+++ b/docs/dyn/texttospeech_v1beta1.text.html
@@ -139,9 +139,9 @@
"volumeGainDb": 3.14, # Optional. Input only. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. Strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
},
"audioContent": "A String", # The audio data bytes encoded as specified in the request, including the header for encodings that are wrapped in containers (e.g. MP3, OGG_OPUS). For LINEAR16 audio, we include the WAV header. Note: as with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64.
- "timepoints": [ # A link between a position in the original request input and a corresponding time in the output audio. It's only supported via of SSML input.
+ "timepoints": [ # A link between a position in the original request input and a corresponding time in the output audio. It's only supported via `` of SSML input.
{ # This contains a mapping between a certain point in the input text and a corresponding time in the output audio.
- "markName": "A String", # Timepoint name as received from the client within tag.
+ "markName": "A String", # Timepoint name as received from the client within `` tag.
"timeSeconds": 3.14, # Time offset in seconds from the start of the synthesized audio.
},
],
diff --git a/docs/dyn/youtube_v3.tests.html b/docs/dyn/youtube_v3.tests.html
index 86b9229..eb5d57c 100644
--- a/docs/dyn/youtube_v3.tests.html
+++ b/docs/dyn/youtube_v3.tests.html
@@ -96,6 +96,7 @@
The object takes the form of:
{
+ "featuredPart": True or False,
"gaia": "A String",
"id": "A String",
"snippet": {
@@ -111,6 +112,7 @@
An object of the form:
{
+ "featuredPart": True or False,
"gaia": "A String",
"id": "A String",
"snippet": {