How to use StartOutputs method of output Package

Best K6 code snippet using output.StartOutputs

agent.go

Source:agent.go

1package agent2import (3	"context"4	"fmt"5	"log"6	"sync"7	"time"8	"ezreal.com.cn/pip/config"9	"ezreal.com.cn/pip/pip"10	"ezreal.com.cn/pip/pip/models"11)12// Agent runs a set of plugins.13type Agent struct {14	Config *config.Config15}16// NewAgent returns an Agent for the given Config.17func NewAgent(config *config.Config) (*Agent, error) {18	a := &Agent{19		Config: config,20	}21	return a, nil22}23// inputUnit is a group of input plugins and the shared channel they write to.24//25// âââââââââ26// â Input âââââ27// âââââââââ   â28// âââââââââ   â     ______29// â Input âââââ¼âââ¶ ()_____)30// âââââââââ   â31// âââââââââ   â32// â Input âââââ33// âââââââââ34type inputUnit struct {35	dst    chan<- pip.Metric36	inputs []*models.RunningInput37}38//  ______     âââââââââââââ     ______39// ()_____)âââ¶ â Processor ââââ¶ ()_____)40//             âââââââââââââ41type processorUnit struct {42	src       <-chan pip.Metric43	dst       chan<- pip.Metric44	processor *models.RunningProcessor45}46// outputUnit is a group of Outputs and their source channel.  pip.Metrics on the47// channel are written to all outputs.48//49//                            ââââââââââ50//                       ââââ¶ â Output â51//                       â    ââââââââââ52//  ______     âââââââ   â    ââââââââââ53// ()_____)âââ¶ â Fan âââââ¼âââ¶ â Output â54//             âââââââ   â    ââââââââââ55//                       â    ââââââââââ56//                       ââââ¶ â Output â57//                            ââââââââââ58type outputUnit struct {59	src     <-chan pip.Metric60	outputs []*models.RunningOutput61}62// Run starts and runs the Agent until the context is done.63func (a *Agent) Run(ctx context.Context) error {64	err := a.initPlugins()65	if err != nil {66		return err67	}68	startTime := time.Now()69	next, ou, err := a.startOutputs(ctx, a.Config.Outputs)70	if err != nil {71		return err72	}73	var pu []*processorUnit74	if len(a.Config.Processors) != 0 {75		next, pu, err = a.startProcessors(next, a.Config.Processors)76		if err != nil {77			return err78		}79	}80	iu, err := a.startInputs(next, a.Config.Inputs)81	if err != nil {82		return err83	}84	var wg sync.WaitGroup85	wg.Add(1)86	go func() {87		defer wg.Done()88		err = a.runOutputs(ou)89		if err != nil {90			log.Printf("E! [agent] Error running outputs: %v", err)91		}92	}()93	if pu != nil {94		wg.Add(1)95		go func() {96			defer wg.Done()97			err = a.runProcessors(pu)98			if err != nil {99				log.Printf("E! [agent] Error running processors: %v", err)100			}101		}()102	}103	wg.Add(1)104	go func() {105		defer wg.Done()106		err = a.runInputs(ctx, startTime, iu)107		if err != nil {108			log.Printf("E! [agent] Error running inputs: %v", err)109		}110	}()111	wg.Wait()112	log.Printf("D! [agent] Stopped Successfully")113	return err114}115// initPlugins runs the Init function on plugins.116func (a *Agent) initPlugins() error {117	for _, input := range a.Config.Inputs {118		err := input.Init()119		if err != nil {120			return err121		}122	}123	for _, processor := range a.Config.Processors {124		err := processor.Init()125		if err != nil {126			return err127		}128	}129	for _, output := range a.Config.Outputs {130		err := output.Init()131		if err != nil {132			return err133		}134	}135	return nil136}137// startOutputs calls Connect on all outputs and returns the source channel.138// If an error occurs calling Connect all stared plugins have Close called.139func (a *Agent) startOutputs(140	ctx context.Context,141	outputs []*models.RunningOutput,142) (chan<- pip.Metric, *outputUnit, error) {143	src := make(chan pip.Metric, 100)144	unit := &outputUnit{src: src, outputs: outputs}145	return src, unit, nil146}147// startProcessors sets up the processor chain and calls Start on all148// processors.  If an error occurs any started processors are Stopped.149func (a *Agent) startProcessors(150	dst chan<- pip.Metric,151	processors models.RunningProcessors,152) (chan<- pip.Metric, []*processorUnit, error) {153	var units []*processorUnit154	var src chan pip.Metric155	for _, processor := range processors {156		src = make(chan pip.Metric, 100)157		acc := NewAccumulator(processor, dst)158		err := processor.Start(acc)159		if err != nil {160			for _, u := range units {161				u.processor.Stop()162				close(u.dst)163			}164			return nil, nil, fmt.Errorf("starting processor %s: %w", processor.LogName(), err)165		}166		units = append(units, &processorUnit{167			src:       src,168			dst:       dst,169			processor: processor,170		})171		dst = src172	}173	return src, units, nil174}175func (a *Agent) startInputs(176	dst chan<- pip.Metric,177	inputs []*models.RunningInput,178) (*inputUnit, error) {179	unit := &inputUnit{180		dst:    dst,181		inputs: inputs,182	}183	return unit, nil184}185// runOutputs begins processing pip.metrics and returns until the source channel is186// closed and all pip.metrics have been written.  On shutdown pip.metrics will be187// written one last time and dropped if unsuccessful.188func (a *Agent) runOutputs(189	unit *outputUnit,190) error {191	for metric := range unit.src {192		for _, output := range unit.outputs {193			output.AddMetric(metric)194		}195	}196	log.Println("I! [agent] Hang on, flushing any cached metrics before shutdown")197	return nil198}199// runProcessors begins processing pip.metrics and runs until the source channel is200// closed and all pip.metrics have been written.201func (a *Agent) runProcessors(202	units []*processorUnit,203) error {204	var wg sync.WaitGroup205	for _, unit := range units {206		wg.Add(1)207		go func(unit *processorUnit) {208			defer wg.Done()209			acc := NewAccumulator(unit.processor, unit.dst)210			for m := range unit.src {211				err := unit.processor.Add(m, acc)212				fmt.Printf("runProcessors %+v, err %+v\n", m, err)213				if err != nil {214					acc.AddError(err)215					m.Drop()216				}217			}218			unit.processor.Stop()219			close(unit.dst)220			log.Printf("D! [agent] Processor channel closed")221		}(unit)222	}223	wg.Wait()224	return nil225}226// runInputs starts and triggers the periodic gather for Inputs.227//228// When the context is done the timers are stopped and this function returns229// after all ongoing Gather calls complete.230func (a *Agent) runInputs(231	ctx context.Context,232	startTime time.Time,233	unit *inputUnit,234) error {235	for _, input := range unit.inputs {236		acc := NewAccumulator(input, unit.dst)237		for {238			time.Sleep(3 * time.Second)239			input.Input.Gather(acc)240		}241	}242	return nil243}244// gather runs an input's gather function periodically until the context is245// done.246func (a *Agent) gatherLoop(247	ctx context.Context,248	acc pip.Accumulator,249	input *models.RunningInput,250) {251}...

manager.go

Source:manager.go

...17		logger:           logger.WithField("component", "output-manager"),18		testStopCallback: testStopCallback,19	}20}21// StartOutputs spins up all configured outputs. If some output fails to start,22// it stops the already started ones. This may take some time, since some23// outputs make initial network requests to set up whatever remote services are24// going to listen to them.25func (om *Manager) StartOutputs() error {26	om.logger.Debugf("Starting %d outputs...", len(om.outputs))27	for i, out := range om.outputs {28		if stopOut, ok := out.(WithTestRunStop); ok {29			stopOut.SetTestRunStopCallback(om.testStopCallback)30		}31		if err := out.Start(); err != nil {32			om.stopOutputs(i)33			return err34		}35	}36	return nil37}38// StopOutputs stops all configured outputs.39func (om *Manager) StopOutputs() {...

StartOutputs

Using AI Code Generation

1import (2func main() {3	config := sarama.NewConfig()4	producer, err := sarama.NewSyncProducer([]string{"localhost:9092"}, config)5	if err != nil {6		panic(err)7	}8	defer producer.Close()9	msg := &sarama.ProducerMessage{Topic: "test", Value: sarama.StringEncoder("testing 123")}10	partition, offset, err := producer.SendMessage(msg)11	if err != nil {12		panic(err)13	}14	fmt.Printf("Message is stored in topic(%s)/partition(%d)/offset(%d)15}16import (17func main() {18	config := sarama.NewConfig()19	producer, err := sarama.NewAsyncProducer([]string{"localhost:9092"}, config)20	if err != nil {21		panic(err)22	}23	defer producer.AsyncClose()24	msg := &sarama.ProducerMessage{Topic: "test", Value: sarama.StringEncoder("testing 123")}25	producer.Input() <- msg26	select {27	case success := <-producer.Successes():28		fmt.Printf("Message is stored in topic(%s)/partition(%d)/offset(%d)29	case err := <-producer.Errors():30		fmt.Printf("Failed to store message: %s31	}32}33import (34func main() {35	config := sarama.NewConfig()36	producer, err := sarama.NewProducer([]string{"localhost:9092"}, config)37	if err != nil {38		panic(err)39	}40	defer producer.Close()41	msg := &sarama.ProducerMessage{Topic: "test", Value: sarama.StringEncoder

StartOutputs

Using AI Code Generation

1import "fmt"2import "github.com/hyperledger/fabric/core/chaincode/shim"3import "github.com/hyperledger/fabric/protos/peer"4import "encoding/json"5type SimpleChaincode struct {6}7type output struct{8}9type input struct{10}11func (t *SimpleChaincode) Init(stub shim.ChaincodeStubInterface) peer.Response {12return shim.Success(nil)13}14func (t *SimpleChaincode) Invoke(stub shim.ChaincodeStubInterface) peer.Response {15function, args := stub.GetFunctionAndParameters()16if function == "StartOutputs" {17return t.StartOutputs(stub, args)18}19return shim.Error("Invalid invoke function name. Expecting \"StartOutputs\"")20}21func (t *SimpleChaincode) StartOutputs(stub shim.ChaincodeStubInterface, args []string) peer.Response {22if len(args) != 1 {23return shim.Error("Incorrect number of arguments. Expecting 1")24}25outputAsBytes := []byte(args[0])26err = json.Unmarshal(outputAsBytes, &output)27if err != nil {28return shim.Error(err.Error())29}30err = stub.PutState("output", outputAsBytes)31if err != nil {32return shim.Error(err.Error())33}34return shim.Success(nil)35}36func main() {37err := shim.Start(new(SimpleChaincode))38if err != nil {39fmt.Printf("Error starting Simple chaincode: %s", err)40}41}42import "fmt"43import "github.com/hyperledger/fabric/core/chaincode/shim"44import "github.com/hyperledger/fabric/protos/peer"45import "encoding/json"46type SimpleChaincode struct {47}48type output struct{49}50type input struct{51}52func (t *SimpleChaincode) Init(stub shim.ChaincodeStubInterface) peer.Response {53return shim.Success(nil)54}55func (t *SimpleChaincode) Invoke(stub shim.ChaincodeStubInterface) peer.Response {56function, args := stub.GetFunctionAndParameters()57if function == "StartInputs" {58return t.StartInputs(stub, args)59}60return shim.Error("Invalid invoke function name. Expecting \"StartInputs\"")61}62func (t *SimpleChaincode) StartInputs

StartOutputs

Using AI Code Generation

1import "fmt"2type output interface {3    Start()4    End()5}6type consoleOutput struct{}7func (c consoleOutput) Start() {8    fmt.Println("Starting to write to console")9}10func (c consoleOutput) End() {11    fmt.Println("Done writing to console")12}13type fileOutput struct {14}15func (f fileOutput) Start() {16    fmt.Println("Starting to write to file", f.filename)17}18func (f fileOutput) End() {19    fmt.Println("Done writing to file", f.filename)20}21func main() {22    c := consoleOutput{}23    c.Start()24    c.End()25    f := fileOutput{filename: "1.txt"}26    f.Start()27    f.End()28}29import "fmt"30type animal interface {31    Speak() string32}33type cat struct{}34func (c cat) Speak() string {

StartOutputs

Using AI Code Generation

1import (2func main() {3    output.StartOutputs()4    for i := 0; i < 10; i++ {5        output.Stdout <- fmt.Sprintf("Hello World %d", i)6        time.Sleep(1 * time.Second)7    }8}9import (10func main() {11    output.StartOutputs()12    for i := 0; i < 10; i++ {13        output.Stderr <- fmt.Sprintf("Hello World %d", i)14        time.Sleep(1 * time.Second)15    }16}17import (18func main() {19    output.StartOutputs()20    for i := 0; i < 10; i++ {21        output.Stdout <- fmt.Sprintf("Hello World %d", i)22        output.Stderr <- fmt.Sprintf("Hello World %d", i)23        time.Sleep(1 * time.Second)24    }25}26import (27type Output struct {28}29func (o *Output) StartOutputs() {30    go func() {31        for {32            select {33                if strings.ToLower(msg) == "done" {34                    fmt.Println("Stdout: ", msg)35                }36                fmt.Println("Stdout: ", msg)37                if strings.ToLower(msg) == "done" {38                    fmt.Println("Stderr: ", msg)39                }40                fmt.Println("Stderr: ", msg)41            }42        }43    }()44}45import (46func main() {

StartOutputs

Using AI Code Generation

1import (2func main() {3	config := sarama.NewConfig()4	producer, err := sarama.NewSyncProducer([]string{"localhost:9092"}, config)5	if err != nil {6		panic(err)7	}8	defer func() {9		if err := producer.Close(); err != nil {10			panic(err)11		}12	}()13	msg := &sarama.ProducerMessage{14		Value: sarama.StringEncoder("testing 123"),15	}16	partition, offset, err := producer.SendMessage(msg)17	if err != nil {18		panic(err)19	}20	fmt.Printf("Message is stored in topic(%s)/partition(%d)/offset(%d)21}22import (23func main() {24	config := sarama.NewConfig()25	producer, err := sarama.NewAsyncProducer([]string{"localhost:9092"}, config)26	if err != nil {27		panic(err)28	}29	defer func() {30		if err := producer.Close(); err != nil {31			panic(err)32		}33	}()34	msg := &sarama.ProducerMessage{35		Value: sarama.StringEncoder("testing 123"),36	}37	signals := make(chan os.Signal, 1)38	signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)

StartOutputs

Using AI Code Generation

1import (2func main() {3    output := sarama.NewBroker("localhost:9092")4    output.Open(nil)5    output.CreateTopics(&sarama.CreateTopicsRequest{Version: 0, Topics: []sarama.TopicDetail{6        {NumPartitions: 1, ReplicationFactor: 1},7    }})8    msg := &sarama.ProducerMessage{9        Value: sarama.StringEncoder("testing 123"),10    }11    output.StartProducer(nil)12    output.StartOutputs()13    output.Input() <- msg14    output.Close()15}

StartOutputs

Using AI Code Generation

1import (2func main() {3	output := NewOutput()4	message := NewMessage()5	message.Set("Hello World")6	message.SetTopic("test")7	message.SetKey("test")8	output.StartOutputs()9	output.AddMessage(message)10	output.Wait()11	output.Close()12}13import (14type Message struct {15}16func (m *Message) Set(message string) {17}18func (m *Message) SetTopic(topic string) {19}20func (m *Message) SetKey(key string) {21}22func (m *Message) Get() string {23}24func (m *Message) GetTopic() string {25}26func (m *Message) GetKey() string {27}28func NewMessage() *Message {29	return &Message{}30}31import (32type Output struct {33}34func (o *Output) StartOutputs() {35	config := sarama.NewConfig()

StartOutputs

Using AI Code Generation

1import "fmt"2import "output"3func main(){4    output := output.NewOutput()5    output.StartOutputs()6    fmt.Println("Hello World")7    output.StopOutputs()8}9import "fmt"10import "time"11type Output struct {12}13func NewOutput() *Output {14    return &Output{}15}16func (output *Output) StartOutputs(){17    go func(){18        for{19            fmt.Println("Output 1")20            time.Sleep(1 * time.Second)21        }22    }()23    go func(){24        for{25            fmt.Println("Output 2")26            time.Sleep(1 * time.Second)27        }28    }()29}30func (output *Output)

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