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69 lines
2.1 KiB
Go
69 lines
2.1 KiB
Go
/*
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* Copyright 2025 CloudWeGo Authors
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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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*/
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package main
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import (
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"context"
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"strconv"
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"github.com/cloudwego/eino/compose"
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"github.com/cloudwego/eino-examples/internal/logs"
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)
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// creates and invokes a simple workflow with only a Lambda node.
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// Since all field mappings are ALL to ALL mappings
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// (by using AddInput without field mappings),
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// this simple workflow is equivalent to a Graph: START -> lambda -> END.
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func main() {
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// create a Workflow, just like creating a Graph
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wf := compose.NewWorkflow[int, string]()
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// add a lambda node to the Workflow, just like adding the lambda to a Graph
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wf.AddLambdaNode("lambda", compose.InvokableLambda(
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func(ctx context.Context, in int) (string, error) {
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return strconv.Itoa(in), nil
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})).
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// add an input to this lambda node from START.
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// this means mapping all output of START to the input of the lambda.
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// the effect of AddInput is to set both a control dependency
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// and a data dependency.
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AddInput(compose.START)
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// obtain the compose.END of the workflow for method chaining
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wf.End().
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// add an input to compose.END,
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// which means 'using ALL output of lambda node as output of END'.
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AddInput("lambda")
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// compile the Workflow, just like compiling a Graph
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run, err := wf.Compile(context.Background())
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if err != nil {
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logs.Errorf("workflow compile error: %v", err)
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return
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}
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// invoke the Workflow, just like invoking a Graph
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result, err := run.Invoke(context.Background(), 1)
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if err != nil {
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logs.Errorf("workflow run err: %v", err)
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return
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}
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logs.Infof("%v", result)
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}
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