refactor: foundations for chatbot (code divided into scenario selecti…

…on, scenario handling, and data retrieval)

Signed-off-by: Hunter Gregory <[email protected]>

ai/README.md

@@ -15,7 +15,3 @@
       - `$env:AOAI_COMPLETIONS_ENDPOINT = Read-Host 'Enter AOAI_COMPLETIONS_ENDPOINT'`
       - `$env:AOAI_DEPLOYMENT_NAME = Read-Host 'Enter AOAI_DEPLOYMENT_NAME'`
 - `go run main.go`
-
-## Development
-
-Modify prompts in the folders within *pkg/analysis/* (e.g. *pkg/analysis/flows/prompt.go* or *analyzer.go*)

ai/main.go

@@ -1,14 +1,11 @@
 package main
 
 import (
-	"context"
-
+	"github.com/microsoft/retina/ai/pkg/chat"
 	"github.com/microsoft/retina/ai/pkg/lm"
-	flowscenario "github.com/microsoft/retina/ai/pkg/scenarios/flows"
 
 	"github.com/sirupsen/logrus"
 	"k8s.io/client-go/kubernetes"
-	"k8s.io/client-go/rest"
 	"k8s.io/client-go/tools/clientcmd"
 )
 
@@ -43,26 +40,8 @@ func main() {
 	}
 	log.Info("initialized Azure OpenAI model")
 
-	handleChat(log, config, clientset, model)
-}
-
-// pretend there's input from chat interface
-func handleChat(log logrus.FieldLogger, config *rest.Config, clientset *kubernetes.Clientset, model lm.Model) {
-	question := "what's wrong with my app?"
-	var chat lm.ChatHistory
-
-	h := flowscenario.NewHandler(log, config, clientset, model)
-	params := &flowscenario.ScenarioParams{
-		Scenario:   flowscenario.DropScenario,
-		Namespace1: "default",
-		Namespace2: "default",
+	bot := chat.NewBot(log, config, clientset, model)
+	if err := bot.Loop(); err != nil {
+		log.WithError(err).Fatal("error running chat loop")
 	}
-
-	ctx := context.TODO()
-	response, err := h.Handle(ctx, question, chat, params)
-	if err != nil {
-		log.WithError(err).Fatal("error running flows scenario")
-	}
-
-	_ = response
 }

ai/pkg/chat/chat.go

@@ -0,0 +1,91 @@
+package chat
+
+import (
+	"context"
+	"fmt"
+
+	"github.com/microsoft/retina/ai/pkg/lm"
+	flowretrieval "github.com/microsoft/retina/ai/pkg/retrieval/flows"
+	"github.com/microsoft/retina/ai/pkg/scenarios"
+	"github.com/microsoft/retina/ai/pkg/scenarios/dns"
+	"github.com/microsoft/retina/ai/pkg/scenarios/drops"
+
+	"github.com/sirupsen/logrus"
+	"k8s.io/client-go/kubernetes"
+	"k8s.io/client-go/rest"
+)
+
+var (
+	definitions = []*scenarios.Definition{
+		drops.Definition,
+		dns.Definition,
+	}
+)
+
+type Bot struct {
+	log       logrus.FieldLogger
+	config    *rest.Config
+	clientset *kubernetes.Clientset
+	model     lm.Model
+}
+
+// input log, config, clientset, model
+func NewBot(log logrus.FieldLogger, config *rest.Config, clientset *kubernetes.Clientset, model lm.Model) *Bot {
+	return &Bot{
+		log:       log.WithField("component", "chat"),
+		config:    config,
+		clientset: clientset,
+		model:     model,
+	}
+}
+
+func (b *Bot) Loop() error {
+	var history lm.ChatHistory
+	flowRetriever := flowretrieval.NewRetriever(b.log, b.config, b.clientset)
+
+	for {
+		// TODO get user input
+		question := "what's wrong with my app?"
+
+		// select scenario and get parameters
+		definition, params, err := b.selectScenario(question, history)
+		if err != nil {
+			return fmt.Errorf("error selecting scenario: %w", err)
+		}
+
+		// cfg.FlowRetriever.UseFile()
+
+		cfg := &scenarios.Config{
+			Log:           b.log,
+			Config:        b.config,
+			Clientset:     b.clientset,
+			Model:         b.model,
+			FlowRetriever: flowRetriever,
+		}
+
+		ctx := context.TODO()
+		response, err := definition.Handle(ctx, cfg, params, question, history)
+		if err != nil {
+			return fmt.Errorf("error handling scenario: %w", err)
+		}
+
+		fmt.Println(response)
+
+		// TODO keep chat loop going
+		break
+	}
+
+	return nil
+}
+
+func (b *Bot) selectScenario(question string, history lm.ChatHistory) (*scenarios.Definition, map[string]string, error) {
+	// TODO use chat interface
+	// FIXME hard-coding the scenario and params for now
+	d := definitions[0]
+	params := map[string]string{
+		scenarios.Namespace1.Name: "default",
+		scenarios.Namespace2.Name: "default",
+	}
+
+	return d, params, nil
+}

ai/pkg/lm/azure-openai.go

@@ -65,11 +65,11 @@ func NewAzureOpenAI() (*AzureOpenAI, error) {
 	return aoai, nil
 }
 
-func (m *AzureOpenAI) Generate(ctx context.Context, systemPrompt string, chat ChatHistory, message string) (string, error) {
+func (m *AzureOpenAI) Generate(ctx context.Context, systemPrompt string, history ChatHistory, message string) (string, error) {
 	messages := []azopenai.ChatRequestMessageClassification{
 		&azopenai.ChatRequestSystemMessage{Content: to.Ptr(systemPrompt)},
 	}
-	for _, pair := range chat {
+	for _, pair := range history {
 		messages = append(messages, &azopenai.ChatRequestUserMessage{Content: azopenai.NewChatRequestUserMessageContent(pair.User)})
 		messages = append(messages, &azopenai.ChatRequestAssistantMessage{Content: to.Ptr(pair.Assistant)})
 	}

ai/pkg/lm/echo.go

@@ -13,9 +13,9 @@ func NewEchoModel() *EchoModel {
 	return &EchoModel{}
 }
 
-func (m *EchoModel) Generate(ctx context.Context, systemPrompt string, chat ChatHistory, message string) (string, error) {
-	chatStrings := make([]string, 0, len(chat))
-	for _, pair := range chat {
+func (m *EchoModel) Generate(ctx context.Context, systemPrompt string, history ChatHistory, message string) (string, error) {
+	chatStrings := make([]string, 0, len(history))
+	for _, pair := range history {
 		chatStrings = append(chatStrings, fmt.Sprintf("USER: %s\nASSISTANT: %s\n", pair.User, pair.Assistant))
 	}
 	resp := fmt.Sprintf("systemPrompt: %s\nhistory: %s\nmessage: %s", systemPrompt, strings.Join(chatStrings, "\n"), message)

ai/pkg/lm/model.go

@@ -10,5 +10,5 @@ type MessagePair struct {
 type ChatHistory []MessagePair
 
 type Model interface {
-	Generate(ctx context.Context, systemPrompt string, chat ChatHistory, message string) (string, error)
+	Generate(ctx context.Context, systemPrompt string, history ChatHistory, message string) (string, error)
 }

ai/pkg/analysis/flows/parser.go → ai/pkg/parse/flows/parser.go

@@ -9,19 +9,19 @@ import (
 )
 
 type Parser struct {
-	log     logrus.FieldLogger
-	summary FlowSummary
+	log         logrus.FieldLogger
+	connections Connections
 }
 
 func NewParser(log logrus.FieldLogger) *Parser {
 	return &Parser{
-		log:     log.WithField("component", "flow-parser"),
-		summary: make(map[string]*Connection),
+		log:         log.WithField("component", "flow-parser"),
+		connections: make(map[string]*Connection),
 	}
 }
 
-func (p *Parser) Summary() FlowSummary {
-	return p.summary
+func (p *Parser) Connections() Connections {
+	return p.connections
 }
 
 func (p *Parser) Parse(flows []*flowpb.Flow) {
@@ -57,15 +57,15 @@ func (p *Parser) addFlow(f *flowpb.Flow) error {
 	pod1, pod2 := pods[0], pods[1]
 	key := pod1 + "#" + pod2
 
-	conn, exists := p.summary[key]
+	conn, exists := p.connections[key]
 	if !exists {
 		conn = &Connection{
 			Pod1:  pod1,
 			Pod2:  pod2,
 			Key:   key,
 			Flows: []*flowpb.Flow{},
 		}
-		p.summary[key] = conn
+		p.connections[key] = conn
 	}
 
 	conn.Flows = append(conn.Flows, f)