File: api_op_GetBatchPrediction.go

package info (click to toggle)
golang-github-aws-aws-sdk-go-v2 1.24.1-2~bpo12%2B1
  • links: PTS, VCS
  • area: main
  • in suites: bookworm-backports
  • size: 554,032 kB
  • sloc: java: 15,941; makefile: 419; sh: 175
file content (213 lines) | stat: -rw-r--r-- 6,954 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
// Code generated by smithy-go-codegen DO NOT EDIT.

package machinelearning

import (
	"context"
	"fmt"
	awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
	"github.com/aws/aws-sdk-go-v2/aws/signer/v4"
	"github.com/aws/aws-sdk-go-v2/service/machinelearning/types"
	"github.com/aws/smithy-go/middleware"
	smithyhttp "github.com/aws/smithy-go/transport/http"
	"time"
)

// Returns a BatchPrediction that includes detailed metadata, status, and data
// file information for a Batch Prediction request.
func (c *Client) GetBatchPrediction(ctx context.Context, params *GetBatchPredictionInput, optFns ...func(*Options)) (*GetBatchPredictionOutput, error) {
	if params == nil {
		params = &GetBatchPredictionInput{}
	}

	result, metadata, err := c.invokeOperation(ctx, "GetBatchPrediction", params, optFns, c.addOperationGetBatchPredictionMiddlewares)
	if err != nil {
		return nil, err
	}

	out := result.(*GetBatchPredictionOutput)
	out.ResultMetadata = metadata
	return out, nil
}

type GetBatchPredictionInput struct {

	// An ID assigned to the BatchPrediction at creation.
	//
	// This member is required.
	BatchPredictionId *string

	noSmithyDocumentSerde
}

// Represents the output of a GetBatchPrediction operation and describes a
// BatchPrediction .
type GetBatchPredictionOutput struct {

	// The ID of the DataSource that was used to create the BatchPrediction .
	BatchPredictionDataSourceId *string

	// An ID assigned to the BatchPrediction at creation. This value should be
	// identical to the value of the BatchPredictionID in the request.
	BatchPredictionId *string

	// The approximate CPU time in milliseconds that Amazon Machine Learning spent
	// processing the BatchPrediction , normalized and scaled on computation resources.
	// ComputeTime is only available if the BatchPrediction is in the COMPLETED state.
	ComputeTime *int64

	// The time when the BatchPrediction was created. The time is expressed in epoch
	// time.
	CreatedAt *time.Time

	// The AWS user account that invoked the BatchPrediction . The account type can be
	// either an AWS root account or an AWS Identity and Access Management (IAM) user
	// account.
	CreatedByIamUser *string

	// The epoch time when Amazon Machine Learning marked the BatchPrediction as
	// COMPLETED or FAILED . FinishedAt is only available when the BatchPrediction is
	// in the COMPLETED or FAILED state.
	FinishedAt *time.Time

	// The location of the data file or directory in Amazon Simple Storage Service
	// (Amazon S3).
	InputDataLocationS3 *string

	// The number of invalid records that Amazon Machine Learning saw while processing
	// the BatchPrediction .
	InvalidRecordCount *int64

	// The time of the most recent edit to BatchPrediction . The time is expressed in
	// epoch time.
	LastUpdatedAt *time.Time

	// A link to the file that contains logs of the CreateBatchPrediction operation.
	LogUri *string

	// The ID of the MLModel that generated predictions for the BatchPrediction
	// request.
	MLModelId *string

	// A description of the most recent details about processing the batch prediction
	// request.
	Message *string

	// A user-supplied name or description of the BatchPrediction .
	Name *string

	// The location of an Amazon S3 bucket or directory to receive the operation
	// results.
	OutputUri *string

	// The epoch time when Amazon Machine Learning marked the BatchPrediction as
	// INPROGRESS . StartedAt isn't available if the BatchPrediction is in the PENDING
	// state.
	StartedAt *time.Time

	// The status of the BatchPrediction , which can be one of the following values:
	//   - PENDING - Amazon Machine Learning (Amazon ML) submitted a request to
	//   generate batch predictions.
	//   - INPROGRESS - The batch predictions are in progress.
	//   - FAILED - The request to perform a batch prediction did not run to
	//   completion. It is not usable.
	//   - COMPLETED - The batch prediction process completed successfully.
	//   - DELETED - The BatchPrediction is marked as deleted. It is not usable.
	Status types.EntityStatus

	// The number of total records that Amazon Machine Learning saw while processing
	// the BatchPrediction .
	TotalRecordCount *int64

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata

	noSmithyDocumentSerde
}

func (c *Client) addOperationGetBatchPredictionMiddlewares(stack *middleware.Stack, options Options) (err error) {
	if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
		return err
	}
	err = stack.Serialize.Add(&awsAwsjson11_serializeOpGetBatchPrediction{}, middleware.After)
	if err != nil {
		return err
	}
	err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpGetBatchPrediction{}, middleware.After)
	if err != nil {
		return err
	}
	if err := addProtocolFinalizerMiddlewares(stack, options, "GetBatchPrediction"); err != nil {
		return fmt.Errorf("add protocol finalizers: %v", err)
	}

	if err = addlegacyEndpointContextSetter(stack, options); err != nil {
		return err
	}
	if err = addSetLoggerMiddleware(stack, options); err != nil {
		return err
	}
	if err = awsmiddleware.AddClientRequestIDMiddleware(stack); err != nil {
		return err
	}
	if err = smithyhttp.AddComputeContentLengthMiddleware(stack); err != nil {
		return err
	}
	if err = addResolveEndpointMiddleware(stack, options); err != nil {
		return err
	}
	if err = v4.AddComputePayloadSHA256Middleware(stack); err != nil {
		return err
	}
	if err = addRetryMiddlewares(stack, options); err != nil {
		return err
	}
	if err = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
		return err
	}
	if err = awsmiddleware.AddRecordResponseTiming(stack); err != nil {
		return err
	}
	if err = addClientUserAgent(stack, options); err != nil {
		return err
	}
	if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
		return err
	}
	if err = smithyhttp.AddCloseResponseBodyMiddleware(stack); err != nil {
		return err
	}
	if err = addSetLegacyContextSigningOptionsMiddleware(stack); err != nil {
		return err
	}
	if err = addOpGetBatchPredictionValidationMiddleware(stack); err != nil {
		return err
	}
	if err = stack.Initialize.Add(newServiceMetadataMiddleware_opGetBatchPrediction(options.Region), middleware.Before); err != nil {
		return err
	}
	if err = awsmiddleware.AddRecursionDetection(stack); err != nil {
		return err
	}
	if err = addRequestIDRetrieverMiddleware(stack); err != nil {
		return err
	}
	if err = addResponseErrorMiddleware(stack); err != nil {
		return err
	}
	if err = addRequestResponseLogging(stack, options); err != nil {
		return err
	}
	if err = addDisableHTTPSMiddleware(stack, options); err != nil {
		return err
	}
	return nil
}

func newServiceMetadataMiddleware_opGetBatchPrediction(region string) *awsmiddleware.RegisterServiceMetadata {
	return &awsmiddleware.RegisterServiceMetadata{
		Region:        region,
		ServiceID:     ServiceID,
		OperationName: "GetBatchPrediction",
	}
}