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chore(json): update all apis

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And bring in 5 new ones, including cloudkms.
Also update dependencies to make things compile again.
This commit is contained in:
Sebastian Thiel
2017-05-22 20:42:37 +02:00
parent 18f0cae1d0
commit 9cff808362
723 changed files with 182398 additions and 108055 deletions
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678
etc/api/toolresults/v1beta3/toolresults-api.json
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@@ -1,21 +1,21 @@
{
"kind": "discovery#restDescription",
"etag": "\"tbys6C40o18GZwyMen5GMkdK-3s/FTHpccTXwX59pwtPpjnvwTyvahc\"",
"etag": "\"YWOzh2SDasdU84ArJnpYek-OMdg/NluUu220nJwrFOBpPn0huE2Wpig\"",
"discoveryVersion": "v1",
"id": "toolresults:v1beta3",
"name": "toolresults",
"canonicalName": "Tool Results",
"version": "v1beta3",
"revision": "20161214",
"revision": "20170519",
"title": "Cloud Tool Results API",
"description": "Reads and publishes results from Cloud Test Lab.",
"description": "Reads and publishes results from Firebase Test Lab.",
"ownerDomain": "google.com",
"ownerName": "Google",
"icons": {
"x16": "https://www.gstatic.com/images/branding/product/1x/googleg_16dp.png",
"x32": "https://www.gstatic.com/images/branding/product/1x/googleg_32dp.png"
},
"documentationLink": "https://developers.google.com/cloud-test-lab/",
"documentationLink": "https://firebase.google.com/docs/test-lab/",
"protocol": "rest",
"baseUrl": "https://www.googleapis.com/toolresults/v1beta3/projects/",
"basePath": "/toolresults/v1beta3/projects/",
@@ -80,7 +80,7 @@
"Any": {
"id": "Any",
"type": "object",
"description": "`Any` contains an arbitrary serialized protocol buffer message along with a URL that describes the type of the serialized message.\n\nProtobuf library provides support to pack/unpack Any values in the form of utility functions or additional generated methods of the Any type.\n\nExample 1: Pack and unpack a message in C++.\n\nFoo foo = ...; Any any; any.PackFrom(foo); ... if (any.UnpackTo(&foo)) { ... }\n\nExample 2: Pack and unpack a message in Java.\n\nFoo foo = ...; Any any = Any.pack(foo); ... if (any.is(Foo.class)) { foo = any.unpack(Foo.class); }\n\nExample 3: Pack and unpack a message in Python.\n\nfoo = Foo(...) any = Any() any.Pack(foo) ... if any.Is(Foo.DESCRIPTOR): any.Unpack(foo) ...\n\nThe pack methods provided by protobuf library will by default use 'type.googleapis.com/full.type.name' as the type URL and the unpack methods only use the fully qualified type name after the last '/' in the type URL, for example \"foo.bar.com/x/y.z\" will yield type name \"y.z\".\n\n\n\nJSON ==== The JSON representation of an `Any` value uses the regular representation of the deserialized, embedded message, with an additional field `@type` which contains the type URL. Example:\n\npackage google.profile; message Person { string first_name = 1; string last_name = 2; }\n\n{ \"@type\": \"type.googleapis.com/google.profile.Person\", \"firstName\": , \"lastName\": }\n\nIf the embedded message type is well-known and has a custom JSON representation, that representation will be embedded adding a field `value` which holds the custom JSON in addition to the `@type` field. Example (for message [google.protobuf.Duration][]):\n\n{ \"@type\": \"type.googleapis.com/google.protobuf.Duration\", \"value\": \"1.212s\" }",
"description": "`Any` contains an arbitrary serialized protocol buffer message along with a URL that describes the type of the serialized message.\n\nProtobuf library provides support to pack/unpack Any values in the form of utility functions or additional generated methods of the Any type.\n\nExample 1: Pack and unpack a message in C++.\n\nFoo foo = ...; Any any; any.PackFrom(foo); ... if (any.UnpackTo(&foo)) { ... }\n\nExample 2: Pack and unpack a message in Java.\n\nFoo foo = ...; Any any = Any.pack(foo); ... if (any.is(Foo.class)) { foo = any.unpack(Foo.class); }\n\nExample 3: Pack and unpack a message in Python.\n\nfoo = Foo(...) any = Any() any.Pack(foo) ... if any.Is(Foo.DESCRIPTOR): any.Unpack(foo) ...\n\nExample 4: Pack and unpack a message in Go\n\nfoo := &pb.Foo{...} any, err := ptypes.MarshalAny(foo) ... foo := &pb.Foo{} if err := ptypes.UnmarshalAny(any, foo); err != nil { ... }\n\nThe pack methods provided by protobuf library will by default use 'type.googleapis.com/full.type.name' as the type URL and the unpack methods only use the fully qualified type name after the last '/' in the type URL, for example \"foo.bar.com/x/y.z\" will yield type name \"y.z\".\n\n\n\nJSON ==== The JSON representation of an `Any` value uses the regular representation of the deserialized, embedded message, with an additional field `@type` which contains the type URL. Example:\n\npackage google.profile; message Person { string first_name = 1; string last_name = 2; }\n\n{ \"@type\": \"type.googleapis.com/google.profile.Person\", \"firstName\": , \"lastName\": }\n\nIf the embedded message type is well-known and has a custom JSON representation, that representation will be embedded adding a field `value` which holds the custom JSON in addition to the `@type` field. Example (for message [google.protobuf.Duration][]):\n\n{ \"@type\": \"type.googleapis.com/google.protobuf.Duration\", \"value\": \"1.212s\" }",
"properties": {
"typeUrl": {
"type": "string",
@@ -93,10 +93,130 @@
}
}
},
"BasicPerfSampleSeries": {
"id": "BasicPerfSampleSeries",
"type": "object",
"description": "Encapsulates the metadata for basic sample series represented by a line chart",
"properties": {
"perfMetricType": {
"type": "string",
"enum": [
"cpu",
"graphics",
"memory",
"network",
"perfMetricTypeUnspecified"
],
"enumDescriptions": [
"",
"",
"",
"",
""
]
},
"perfUnit": {
"type": "string",
"enum": [
"bytesPerSecond",
"framesPerSecond",
"kibibyte",
"percent",
"perfUnitUnspecified"
],
"enumDescriptions": [
"",
"",
"",
"",
""
]
},
"sampleSeriesLabel": {
"type": "string",
"enum": [
"cpuKernel",
"cpuTotal",
"cpuUser",
"graphicsFrameRate",
"memoryRssPrivate",
"memoryRssShared",
"memoryRssTotal",
"memoryTotal",
"networkReceived",
"networkSent",
"ntBytesReceived",
"ntBytesTransferred",
"sampleSeriesTypeUnspecified"
],
"enumDescriptions": [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
]
}
}
},
"BatchCreatePerfSamplesRequest": {
"id": "BatchCreatePerfSamplesRequest",
"type": "object",
"description": "The request must provide up to a maximum of 5000 samples to be created; a larger sample size will cause an INVALID_ARGUMENT error",
"properties": {
"perfSamples": {
"type": "array",
"description": "The set of PerfSamples to create should not include existing timestamps",
"items": {
"$ref": "PerfSample"
}
}
}
},
"BatchCreatePerfSamplesResponse": {
"id": "BatchCreatePerfSamplesResponse",
"type": "object",
"properties": {
"perfSamples": {
"type": "array",
"items": {
"$ref": "PerfSample"
}
}
}
},
"CPUInfo": {
"id": "CPUInfo",
"type": "object",
"properties": {
"cpuProcessor": {
"type": "string",
"description": "description of the device processor ie '1.8 GHz hexa core 64-bit ARMv8-A'"
},
"cpuSpeedInGhz": {
"type": "number",
"description": "the CPU clock speed in GHz",
"format": "float"
},
"numberOfCores": {
"type": "integer",
"description": "the number of CPU cores",
"format": "int32"
}
}
},
"Duration": {
"id": "Duration",
"type": "object",
"description": "A Duration represents a signed, fixed-length span of time represented as a count of seconds and fractions of seconds at nanosecond resolution. It is independent of any calendar and concepts like \"day\" or \"month\". It is related to Timestamp in that the difference between two Timestamp values is a Duration and it can be added or subtracted from a Timestamp. Range is approximately +-10,000 years.\n\nExample 1: Compute Duration from two Timestamps in pseudo code.\n\nTimestamp start = ...; Timestamp end = ...; Duration duration = ...;\n\nduration.seconds = end.seconds - start.seconds; duration.nanos = end.nanos - start.nanos;\n\nif (duration.seconds 0) { duration.seconds += 1; duration.nanos -= 1000000000; } else if (durations.seconds \u003e 0 && duration.nanos \u003c 0) { duration.seconds -= 1; duration.nanos += 1000000000; }\n\nExample 2: Compute Timestamp from Timestamp + Duration in pseudo code.\n\nTimestamp start = ...; Duration duration = ...; Timestamp end = ...;\n\nend.seconds = start.seconds + duration.seconds; end.nanos = start.nanos + duration.nanos;\n\nif (end.nanos = 1000000000) { end.seconds += 1; end.nanos -= 1000000000; }\n\nExample 3: Compute Duration from datetime.timedelta in Python.\n\ntd = datetime.timedelta(days=3, minutes=10) duration = Duration() duration.FromTimedelta(td)",
"description": "A Duration represents a signed, fixed-length span of time represented as a count of seconds and fractions of seconds at nanosecond resolution. It is independent of any calendar and concepts like \"day\" or \"month\". It is related to Timestamp in that the difference between two Timestamp values is a Duration and it can be added or subtracted from a Timestamp. Range is approximately +-10,000 years.\n\n# Examples\n\nExample 1: Compute Duration from two Timestamps in pseudo code.\n\nTimestamp start = ...; Timestamp end = ...; Duration duration = ...;\n\nduration.seconds = end.seconds - start.seconds; duration.nanos = end.nanos - start.nanos;\n\nif (duration.seconds 0) { duration.seconds += 1; duration.nanos -= 1000000000; } else if (durations.seconds \u003e 0 && duration.nanos \u003c 0) { duration.seconds -= 1; duration.nanos += 1000000000; }\n\nExample 2: Compute Timestamp from Timestamp + Duration in pseudo code.\n\nTimestamp start = ...; Duration duration = ...; Timestamp end = ...;\n\nend.seconds = start.seconds + duration.seconds; end.nanos = start.nanos + duration.nanos;\n\nif (end.nanos = 1000000000) { end.seconds += 1; end.nanos -= 1000000000; }\n\nExample 3: Compute Duration from datetime.timedelta in Python.\n\ntd = datetime.timedelta(days=3, minutes=10) duration = Duration() duration.FromTimedelta(td)\n\n# JSON Mapping\n\nIn JSON format, the Duration type is encoded as a string rather than an object, where the string ends in the suffix \"s\" (indicating seconds) and is preceded by the number of seconds, with nanoseconds expressed as fractional seconds. For example, 3 seconds with 0 nanoseconds should be encoded in JSON format as \"3s\", while 3 seconds and 1 nanosecond should be expressed in JSON format as \"3.000000001s\", and 3 seconds and 1 microsecond should be expressed in JSON format as \"3.000001s\".",
"properties": {
"nanos": {
"type": "integer",
@@ -105,7 +225,7 @@
},
"seconds": {
"type": "string",
"description": "Signed seconds of the span of time. Must be from -315,576,000,000 to +315,576,000,000 inclusive.",
"description": "Signed seconds of the span of time. Must be from -315,576,000,000 to +315,576,000,000 inclusive. Note: these bounds are computed from: 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years",
"format": "int64"
}
}
@@ -281,6 +401,35 @@
}
}
},
"ListPerfSampleSeriesResponse": {
"id": "ListPerfSampleSeriesResponse",
"type": "object",
"properties": {
"perfSampleSeries": {
"type": "array",
"description": "The resulting PerfSampleSeries sorted by id",
"items": {
"$ref": "PerfSampleSeries"
}
}
}
},
"ListPerfSamplesResponse": {
"id": "ListPerfSamplesResponse",
"type": "object",
"properties": {
"nextPageToken": {
"type": "string",
"description": "Optional, returned if result size exceeds the page size specified in the request (or the default page size, 500, if unspecified). It indicates the last sample timestamp to be used as page_token in subsequent request"
},
"perfSamples": {
"type": "array",
"items": {
"$ref": "PerfSample"
}
}
}
},
"ListStepThumbnailsResponse": {
"id": "ListStepThumbnailsResponse",
"type": "object",
@@ -317,6 +466,22 @@
}
}
},
"MemoryInfo": {
"id": "MemoryInfo",
"type": "object",
"properties": {
"memoryCapInKibibyte": {
"type": "string",
"description": "Maximum memory that can be allocated to the process in KiB",
"format": "int64"
},
"memoryTotalInKibibyte": {
"type": "string",
"description": "Total memory available on the device in KiB",
"format": "int64"
}
}
},
"Outcome": {
"id": "Outcome",
"type": "object",
@@ -358,6 +523,116 @@
}
}
},
"PerfEnvironment": {
"id": "PerfEnvironment",
"type": "object",
"description": "Encapsulates performance environment info",
"properties": {
"cpuInfo": {
"$ref": "CPUInfo",
"description": "CPU related environment info"
},
"memoryInfo": {
"$ref": "MemoryInfo",
"description": "Memory related environment info"
}
}
},
"PerfMetricsSummary": {
"id": "PerfMetricsSummary",
"type": "object",
"description": "A summary of perf metrics collected and performance environment info",
"properties": {
"executionId": {
"type": "string",
"description": "A tool results execution ID."
},
"historyId": {
"type": "string",
"description": "A tool results history ID."
},
"perfEnvironment": {
"$ref": "PerfEnvironment",
"description": "Describes the environment in which the performance metrics were collected"
},
"perfMetrics": {
"type": "array",
"description": "Set of resource collected",
"items": {
"type": "string",
"enum": [
"cpu",
"graphics",
"memory",
"network",
"perfMetricTypeUnspecified"
],
"enumDescriptions": [
"",
"",
"",
"",
""
]
}
},
"projectId": {
"type": "string",
"description": "The cloud project"
},
"stepId": {
"type": "string",
"description": "A tool results step ID."
}
}
},
"PerfSample": {
"id": "PerfSample",
"type": "object",
"description": "Resource representing a single performance measure or data point",
"properties": {
"sampleTime": {
"$ref": "Timestamp",
"description": "Timestamp of collection"
},
"value": {
"type": "number",
"description": "Value observed",
"format": "double"
}
}
},
"PerfSampleSeries": {
"id": "PerfSampleSeries",
"type": "object",
"description": "Resource representing a collection of performance samples (or data points)",
"properties": {
"basicPerfSampleSeries": {
"$ref": "BasicPerfSampleSeries",
"description": "Basic series represented by a line chart"
},
"executionId": {
"type": "string",
"description": "A tool results execution ID."
},
"historyId": {
"type": "string",
"description": "A tool results history ID."
},
"projectId": {
"type": "string",
"description": "The cloud project"
},
"sampleSeriesId": {
"type": "string",
"description": "A sample series id"
},
"stepId": {
"type": "string",
"description": "A tool results step ID."
}
}
},
"ProjectSettings": {
"id": "ProjectSettings",
"type": "object",
@@ -419,7 +694,7 @@
"Status": {
"id": "Status",
"type": "object",
"description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be:\n\n- Simple to use and understand for most users - Flexible enough to meet unexpected needs\n\n# Overview\n\nThe `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of [google.rpc.Code][], but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions.\n\n# Language mapping\n\nThe `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C.\n\n# Other uses\n\nThe error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments.\n\nExample uses of this error model include:\n\n- Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors.\n\n- Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose.\n\n- Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response.\n\n- Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message.\n\n- Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons.",
"description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be:\n\n- Simple to use and understand for most users - Flexible enough to meet unexpected needs\n\n# Overview\n\nThe `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of [google.rpc.Code][], but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` that can be used for common error conditions.\n\n# Language mapping\n\nThe `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C.\n\n# Other uses\n\nThe error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments.\n\nExample uses of this error model include:\n\n- Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors.\n\n- Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting.\n\n- Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response.\n\n- Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message.\n\n- Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons.",
"properties": {
"code": {
"type": "integer",
@@ -692,7 +967,7 @@
"Timestamp": {
"id": "Timestamp",
"type": "object",
"description": "A Timestamp represents a point in time independent of any time zone or calendar, represented as seconds and fractions of seconds at nanosecond resolution in UTC Epoch time. It is encoded using the Proleptic Gregorian Calendar which extends the Gregorian calendar backwards to year one. It is encoded assuming all minutes are 60 seconds long, i.e. leap seconds are \"smeared\" so that no leap second table is needed for interpretation. Range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By restricting to that range, we ensure that we can convert to and from RFC 3339 date strings. See [https://www.ietf.org/rfc/rfc3339.txt](https://www.ietf.org/rfc/rfc3339.txt).\n\nExample 1: Compute Timestamp from POSIX `time()`.\n\nTimestamp timestamp; timestamp.set_seconds(time(NULL)); timestamp.set_nanos(0);\n\nExample 2: Compute Timestamp from POSIX `gettimeofday()`.\n\nstruct timeval tv; gettimeofday(&tv, NULL);\n\nTimestamp timestamp; timestamp.set_seconds(tv.tv_sec); timestamp.set_nanos(tv.tv_usec * 1000);\n\nExample 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`.\n\nFILETIME ft; GetSystemTimeAsFileTime(&ft); UINT64 ticks = (((UINT64)ft.dwHighDateTime) \u003c\u003c 32) | ft.dwLowDateTime;\n\n// A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z. Timestamp timestamp; timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL)); timestamp.set_nanos((INT32) ((ticks % 10000000) * 100));\n\nExample 4: Compute Timestamp from Java `System.currentTimeMillis()`.\n\nlong millis = System.currentTimeMillis();\n\nTimestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000) .setNanos((int) ((millis % 1000) * 1000000)).build();\n\n\n\nExample 5: Compute Timestamp from current time in Python.\n\ntimestamp = Timestamp() timestamp.GetCurrentTime()",
"description": "A Timestamp represents a point in time independent of any time zone or calendar, represented as seconds and fractions of seconds at nanosecond resolution in UTC Epoch time. It is encoded using the Proleptic Gregorian Calendar which extends the Gregorian calendar backwards to year one. It is encoded assuming all minutes are 60 seconds long, i.e. leap seconds are \"smeared\" so that no leap second table is needed for interpretation. Range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By restricting to that range, we ensure that we can convert to and from RFC 3339 date strings. See [https://www.ietf.org/rfc/rfc3339.txt](https://www.ietf.org/rfc/rfc3339.txt).\n\n# Examples\n\nExample 1: Compute Timestamp from POSIX `time()`.\n\nTimestamp timestamp; timestamp.set_seconds(time(NULL)); timestamp.set_nanos(0);\n\nExample 2: Compute Timestamp from POSIX `gettimeofday()`.\n\nstruct timeval tv; gettimeofday(&tv, NULL);\n\nTimestamp timestamp; timestamp.set_seconds(tv.tv_sec); timestamp.set_nanos(tv.tv_usec * 1000);\n\nExample 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`.\n\nFILETIME ft; GetSystemTimeAsFileTime(&ft); UINT64 ticks = (((UINT64)ft.dwHighDateTime) \u003c\u003c 32) | ft.dwLowDateTime;\n\n// A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z. Timestamp timestamp; timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL)); timestamp.set_nanos((INT32) ((ticks % 10000000) * 100));\n\nExample 4: Compute Timestamp from Java `System.currentTimeMillis()`.\n\nlong millis = System.currentTimeMillis();\n\nTimestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000) .setNanos((int) ((millis % 1000) * 1000000)).build();\n\n\n\nExample 5: Compute Timestamp from current time in Python.\n\ntimestamp = Timestamp() timestamp.GetCurrentTime()\n\n# JSON Mapping\n\nIn JSON format, the Timestamp type is encoded as a string in the [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the format is \"{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z\" where {year} is always expressed using four digits while {month}, {day}, {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution), are optional. The \"Z\" suffix indicates the timezone (\"UTC\"); the timezone is required, though only UTC (as indicated by \"Z\") is presently supported.\n\nFor example, \"2017-01-15T01:30:15.01Z\" encodes 15.01 seconds past 01:30 UTC on January 15, 2017.\n\nIn JavaScript, one can convert a Date object to this format using the standard [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString] method. In Python, a standard `datetime.datetime` object can be converted to this format using [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use the Joda Time's [`ISODateTimeFormat.dateTime()`]( http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime()) to obtain a formatter capable of generating timestamps in this format.",
"properties": {
"nanos": {
"type": "integer",
@@ -811,7 +1086,7 @@
"id": "toolresults.projects.initializeSettings",
"path": "{projectId}:initializeSettings",
"httpMethod": "POST",
"description": "Creates resources for settings which have not yet been set.\n\nCurrently, this creates a single resource: a Google Cloud Storage bucket, to be used as the default bucket for this project. The bucket is created in the name of the user calling. Except in rare cases, calling this method in parallel from multiple clients will only create a single bucket. In order to avoid unnecessary storage charges, the bucket is configured to automatically delete objects older than 90 days.\n\nThe bucket is created with the project-private ACL: All project team members are given permissions to the bucket and objects created within it according to their roles. Project owners have owners rights, and so on. The default ACL on objects created in the bucket is project-private as well. See Google Cloud Storage documentation for more details.\n\nIf there is already a default bucket set and the project can access the bucket, this call does nothing. However, if the project doesn't have the permission to access the bucket or the bucket is deteleted, a new bucket will be created.\n\nMay return any canonical error codes, including the following:\n\n- PERMISSION_DENIED - if the user is not authorized to write to project - Any error code raised by Google Cloud Storage",
"description": "Creates resources for settings which have not yet been set.\n\nCurrently, this creates a single resource: a Google Cloud Storage bucket, to be used as the default bucket for this project. The bucket is created in an FTL-own storage project. Except for in rare cases, calling this method in parallel from multiple clients will only create a single bucket. In order to avoid unnecessary storage charges, the bucket is configured to automatically delete objects older than 90 days.\n\nThe bucket is created with the following permissions: - Owner access for owners of central storage project (FTL-owned) - Writer access for owners/editors of customer project - Reader access for viewers of customer project The default ACL on objects created in the bucket is: - Owner access for owners of central storage project - Reader access for owners/editors/viewers of customer project See Google Cloud Storage documentation for more details.\n\nIf there is already a default bucket set and the project can access the bucket, this call does nothing. However, if the project doesn't have the permission to access the bucket or the bucket is deleted, a new bucket will be created.\n\nMay return any canonical error codes, including the following:\n\n- PERMISSION_DENIED - if the user is not authorized to write to project - Any error code raised by Google Cloud Storage",
"parameters": {
"projectId": {
"type": "string",
@@ -1192,6 +1467,50 @@
"https://www.googleapis.com/auth/cloud-platform"
]
},
"getPerfMetricsSummary": {
"id": "toolresults.projects.histories.executions.steps.getPerfMetricsSummary",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps/{stepId}/perfMetricsSummary",
"httpMethod": "GET",
"description": "Retrieves a PerfMetricsSummary.\n\nMay return any of the following error code(s): - NOT_FOUND - The specified PerfMetricsSummary does not exist",
"parameters": {
"executionId": {
"type": "string",
"description": "A tool results execution ID.",
"required": true,
"location": "path"
},
"historyId": {
"type": "string",
"description": "A tool results history ID.",
"required": true,
"location": "path"
},
"projectId": {
"type": "string",
"description": "The cloud project",
"required": true,
"location": "path"
},
"stepId": {
"type": "string",
"description": "A tool results step ID.",
"required": true,
"location": "path"
}
},
"parameterOrder": [
"projectId",
"historyId",
"executionId",
"stepId"
],
"response": {
"$ref": "PerfMetricsSummary"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
"list": {
"id": "toolresults.projects.histories.executions.steps.list",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps",
@@ -1341,6 +1660,345 @@
}
},
"resources": {
"perfMetricsSummary": {
"methods": {
"create": {
"id": "toolresults.projects.histories.executions.steps.perfMetricsSummary.create",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps/{stepId}/perfMetricsSummary",
"httpMethod": "POST",
"description": "Creates a PerfMetricsSummary resource.\n\nMay return any of the following error code(s): - ALREADY_EXISTS - A PerfMetricSummary already exists for the given Step - NOT_FOUND - The containing Step does not exist",
"parameters": {
"executionId": {
"type": "string",
"description": "A tool results execution ID.",
"required": true,
"location": "path"
},
"historyId": {
"type": "string",
"description": "A tool results history ID.",
"required": true,
"location": "path"
},
"projectId": {
"type": "string",
"description": "The cloud project",
"required": true,
"location": "path"
},
"stepId": {
"type": "string",
"description": "A tool results step ID.",
"required": true,
"location": "path"
}
},
"parameterOrder": [
"projectId",
"historyId",
"executionId",
"stepId"
],
"request": {
"$ref": "PerfMetricsSummary"
},
"response": {
"$ref": "PerfMetricsSummary"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
}
}
},
"perfSampleSeries": {
"methods": {
"create": {
"id": "toolresults.projects.histories.executions.steps.perfSampleSeries.create",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps/{stepId}/perfSampleSeries",
"httpMethod": "POST",
"description": "Creates a PerfSampleSeries.\n\nMay return any of the following error code(s): - ALREADY_EXISTS - PerfMetricSummary already exists for the given Step - NOT_FOUND - The containing Step does not exist",
"parameters": {
"executionId": {
"type": "string",
"description": "A tool results execution ID.",
"required": true,
"location": "path"
},
"historyId": {
"type": "string",
"description": "A tool results history ID.",
"required": true,
"location": "path"
},
"projectId": {
"type": "string",
"description": "The cloud project",
"required": true,
"location": "path"
},
"stepId": {
"type": "string",
"description": "A tool results step ID.",
"required": true,
"location": "path"
}
},
"parameterOrder": [
"projectId",
"historyId",
"executionId",
"stepId"
],
"request": {
"$ref": "PerfSampleSeries"
},
"response": {
"$ref": "PerfSampleSeries"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
"get": {
"id": "toolresults.projects.histories.executions.steps.perfSampleSeries.get",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps/{stepId}/perfSampleSeries/{sampleSeriesId}",
"httpMethod": "GET",
"description": "Gets a PerfSampleSeries.\n\nMay return any of the following error code(s): - NOT_FOUND - The specified PerfSampleSeries does not exist",
"parameters": {
"executionId": {
"type": "string",
"description": "A tool results execution ID.",
"required": true,
"location": "path"
},
"historyId": {
"type": "string",
"description": "A tool results history ID.",
"required": true,
"location": "path"
},
"projectId": {
"type": "string",
"description": "The cloud project",
"required": true,
"location": "path"
},
"sampleSeriesId": {
"type": "string",
"description": "A sample series id",
"required": true,
"location": "path"
},
"stepId": {
"type": "string",
"description": "A tool results step ID.",
"required": true,
"location": "path"
}
},
"parameterOrder": [
"projectId",
"historyId",
"executionId",
"stepId",
"sampleSeriesId"
],
"response": {
"$ref": "PerfSampleSeries"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
"list": {
"id": "toolresults.projects.histories.executions.steps.perfSampleSeries.list",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps/{stepId}/perfSampleSeries",
"httpMethod": "GET",
"description": "Lists PerfSampleSeries for a given Step.\n\nThe request provides an optional filter which specifies one or more PerfMetricsType to include in the result; if none returns all. The resulting PerfSampleSeries are sorted by ids.\n\nMay return any of the following canonical error codes: - NOT_FOUND - The containing Step does not exist",
"parameters": {
"executionId": {
"type": "string",
"description": "A tool results execution ID.",
"required": true,
"location": "path"
},
"filter": {
"type": "string",
"description": "Specify one or more PerfMetricType values such as CPU to filter the result",
"enum": [
"cpu",
"graphics",
"memory",
"network",
"perfMetricTypeUnspecified"
],
"enumDescriptions": [
"",
"",
"",
"",
""
],
"repeated": true,
"location": "query"
},
"historyId": {
"type": "string",
"description": "A tool results history ID.",
"required": true,
"location": "path"
},
"projectId": {
"type": "string",
"description": "The cloud project",
"required": true,
"location": "path"
},
"stepId": {
"type": "string",
"description": "A tool results step ID.",
"required": true,
"location": "path"
}
},
"parameterOrder": [
"projectId",
"historyId",
"executionId",
"stepId"
],
"response": {
"$ref": "ListPerfSampleSeriesResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
}
},
"resources": {
"samples": {
"methods": {
"batchCreate": {
"id": "toolresults.projects.histories.executions.steps.perfSampleSeries.samples.batchCreate",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps/{stepId}/perfSampleSeries/{sampleSeriesId}/samples:batchCreate",
"httpMethod": "POST",
"description": "Creates a batch of PerfSamples - a client can submit multiple batches of Perf Samples through repeated calls to this method in order to split up a large request payload - duplicates and existing timestamp entries will be ignored. - the batch operation may partially succeed - the set of elements successfully inserted is returned in the response (omits items which already existed in the database).\n\nMay return any of the following canonical error codes: - NOT_FOUND - The containing PerfSampleSeries does not exist",
"parameters": {
"executionId": {
"type": "string",
"description": "A tool results execution ID.",
"required": true,
"location": "path"
},
"historyId": {
"type": "string",
"description": "A tool results history ID.",
"required": true,
"location": "path"
},
"projectId": {
"type": "string",
"description": "The cloud project",
"required": true,
"location": "path"
},
"sampleSeriesId": {
"type": "string",
"description": "A sample series id",
"required": true,
"location": "path"
},
"stepId": {
"type": "string",
"description": "A tool results step ID.",
"required": true,
"location": "path"
}
},
"parameterOrder": [
"projectId",
"historyId",
"executionId",
"stepId",
"sampleSeriesId"
],
"request": {
"$ref": "BatchCreatePerfSamplesRequest"
},
"response": {
"$ref": "BatchCreatePerfSamplesResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
"list": {
"id": "toolresults.projects.histories.executions.steps.perfSampleSeries.samples.list",
"path": "{projectId}/histories/{historyId}/executions/{executionId}/steps/{stepId}/perfSampleSeries/{sampleSeriesId}/samples",
"httpMethod": "GET",
"description": "Lists the Performance Samples of a given Sample Series - The list results are sorted by timestamps ascending - The default page size is 500 samples; and maximum size allowed 5000 - The response token indicates the last returned PerfSample timestamp - When the results size exceeds the page size, submit a subsequent request including the page token to return the rest of the samples up to the page limit\n\nMay return any of the following canonical error codes: - OUT_OF_RANGE - The specified request page_token is out of valid range - NOT_FOUND - The containing PerfSampleSeries does not exist",
"parameters": {
"executionId": {
"type": "string",
"description": "A tool results execution ID.",
"required": true,
"location": "path"
},
"historyId": {
"type": "string",
"description": "A tool results history ID.",
"required": true,
"location": "path"
},
"pageSize": {
"type": "integer",
"description": "The default page size is 500 samples, and the maximum size is 5000. If the page_size is greater than 5000, the effective page size will be 5000",
"format": "int32",
"location": "query"
},
"pageToken": {
"type": "string",
"description": "Optional, the next_page_token returned in the previous response",
"location": "query"
},
"projectId": {
"type": "string",
"description": "The cloud project",
"required": true,
"location": "path"
},
"sampleSeriesId": {
"type": "string",
"description": "A sample series id",
"required": true,
"location": "path"
},
"stepId": {
"type": "string",
"description": "A tool results step ID.",
"required": true,
"location": "path"
}
},
"parameterOrder": [
"projectId",
"historyId",
"executionId",
"stepId",
"sampleSeriesId"
],
"response": {
"$ref": "ListPerfSamplesResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
}
}
}
}
},
"thumbnails": {
"methods": {
"list": {