// Copyright 2025 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package serverlesssparkcreatepysparkbatch
import (
"context"
"fmt"
dataproc "cloud.google.com/go/dataproc/v2/apiv1/dataprocpb"
"github.com/goccy/go-yaml"
"github.com/googleapis/genai-toolbox/internal/sources"
"github.com/googleapis/genai-toolbox/internal/tools"
"github.com/googleapis/genai-toolbox/internal/tools/serverlessspark/createbatch"
"github.com/googleapis/genai-toolbox/internal/util/parameters"
)
const kind = "serverless-spark-create-pyspark-batch"
func init() {
if !tools.Register(kind, newConfig) {
panic(fmt.Sprintf("tool kind %q already registered", kind))
}
}
func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.ToolConfig, error) {
baseCfg, err := createbatch.NewConfig(ctx, name, decoder)
if err != nil {
return nil, err
}
return Config{baseCfg}, nil
}
type Config struct {
createbatch.Config
}
// validate interface
var _ tools.ToolConfig = Config{}
// ToolConfigKind returns the unique name for this tool.
func (cfg Config) ToolConfigKind() string {
return kind
}
// Initialize creates a new Tool instance.
func (cfg Config) Initialize(srcs map[string]sources.Source) (tools.Tool, error) {
return createbatch.NewTool(cfg.Config, cfg, srcs, &PySparkBatchBuilder{})
}
type PySparkBatchBuilder struct{}
func (b *PySparkBatchBuilder) Parameters() parameters.Parameters {
return parameters.Parameters{
parameters.NewStringParameterWithRequired("mainFile", "The path to the main Python file, as a gs://... URI.", true),
parameters.NewArrayParameterWithRequired("args", "Optional. A list of arguments passed to the main file.", false, parameters.NewStringParameter("arg", "An argument.")),
parameters.NewStringParameterWithRequired("version", "Optional. The Serverless runtime version to execute with.", false),
}
}
func (b *PySparkBatchBuilder) BuildBatch(params parameters.ParamValues) (*dataproc.Batch, error) {
paramMap := params.AsMap()
mainFile := paramMap["mainFile"].(string)
batch := &dataproc.Batch{
BatchConfig: &dataproc.Batch_PysparkBatch{
PysparkBatch: &dataproc.PySparkBatch{
MainPythonFileUri: mainFile,
},
},
}
if args, ok := paramMap["args"].([]any); ok {
for _, arg := range args {
batch.GetPysparkBatch().Args = append(batch.GetPysparkBatch().Args, fmt.Sprintf("%v", arg))
}
}
return batch, nil
}
