mirror of
https://github.com/googleapis/genai-toolbox.git
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17a979207d
This tool is almost identical to create_pyspark_batch, but for Java Spark batches. There are some minor differences in how the main files and args are provided.
114 lines
4.0 KiB
Go
114 lines
4.0 KiB
Go
// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package serverlesssparkcreatesparkbatch
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import (
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"context"
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"fmt"
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dataproc "cloud.google.com/go/dataproc/v2/apiv1/dataprocpb"
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"github.com/goccy/go-yaml"
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"github.com/googleapis/genai-toolbox/internal/sources"
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"github.com/googleapis/genai-toolbox/internal/tools"
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"github.com/googleapis/genai-toolbox/internal/tools/serverlessspark/createbatch"
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"github.com/googleapis/genai-toolbox/internal/util/parameters"
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)
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const kind = "serverless-spark-create-spark-batch"
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func init() {
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if !tools.Register(kind, newConfig) {
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panic(fmt.Sprintf("tool kind %q already registered", kind))
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}
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}
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func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.ToolConfig, error) {
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baseCfg, err := createbatch.NewConfig(ctx, name, decoder)
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if err != nil {
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return nil, err
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}
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return Config{baseCfg}, nil
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}
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type Config struct {
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createbatch.Config
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}
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// validate interface
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var _ tools.ToolConfig = Config{}
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// ToolConfigKind returns the unique name for this tool.
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func (cfg Config) ToolConfigKind() string {
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return kind
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}
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// Initialize creates a new Tool instance.
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func (cfg Config) Initialize(srcs map[string]sources.Source) (tools.Tool, error) {
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return createbatch.NewTool(cfg.Config, cfg, srcs, &SparkBatchBuilder{})
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}
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type SparkBatchBuilder struct{}
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func (b *SparkBatchBuilder) Parameters() parameters.Parameters {
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return parameters.Parameters{
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parameters.NewStringParameterWithRequired("mainJarFile", "Optional. The gs:// URI of the jar file that contains the main class. Exactly one of mainJarFile or mainClass must be specified.", false),
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parameters.NewStringParameterWithRequired("mainClass", "Optional. The name of the driver's main class. Exactly one of mainJarFile or mainClass must be specified.", false),
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parameters.NewArrayParameterWithRequired("jarFiles", "Optional. A list of gs:// URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.", false, parameters.NewStringParameter("jarFile", "A jar file URI.")),
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parameters.NewArrayParameterWithRequired("args", "Optional. A list of arguments passed to the driver.", false, parameters.NewStringParameter("arg", "An argument.")),
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parameters.NewStringParameterWithRequired("version", "Optional. The Serverless runtime version to execute with.", false),
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}
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}
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func (b *SparkBatchBuilder) BuildBatch(params parameters.ParamValues) (*dataproc.Batch, error) {
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paramMap := params.AsMap()
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mainJar, _ := paramMap["mainJarFile"].(string)
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mainClass, _ := paramMap["mainClass"].(string)
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if mainJar == "" && mainClass == "" {
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return nil, fmt.Errorf("must provide either mainJarFile or mainClass")
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}
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if mainJar != "" && mainClass != "" {
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return nil, fmt.Errorf("cannot provide both mainJarFile and mainClass")
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}
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sparkBatch := &dataproc.SparkBatch{}
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if mainJar != "" {
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sparkBatch.Driver = &dataproc.SparkBatch_MainJarFileUri{MainJarFileUri: mainJar}
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} else {
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sparkBatch.Driver = &dataproc.SparkBatch_MainClass{MainClass: mainClass}
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}
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if jarFileUris, ok := paramMap["jarFiles"].([]any); ok {
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for _, uri := range jarFileUris {
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sparkBatch.JarFileUris = append(sparkBatch.JarFileUris, fmt.Sprintf("%v", uri))
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}
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} else if mainClass != "" {
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return nil, fmt.Errorf("jarFiles is required when mainClass is provided")
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}
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if args, ok := paramMap["args"].([]any); ok {
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for _, arg := range args {
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sparkBatch.Args = append(sparkBatch.Args, fmt.Sprintf("%v", arg))
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}
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}
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return &dataproc.Batch{
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BatchConfig: &dataproc.Batch_SparkBatch{
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SparkBatch: sparkBatch,
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},
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}, nil
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}
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