mirror of
https://github.com/googleapis/genai-toolbox.git
synced 2026-01-08 15:14:00 -05:00
Add parameter `embeddedBy` field to support vector embedding & semantic search. Major change in `internal/util/parameters/parameters.go` This PR only adds vector formatter for the postgressql tool. Other tools requiring vector formatting may not work with embeddedBy. Second part of the Semantic Search support. First part: https://github.com/googleapis/genai-toolbox/pull/2121
570 lines
18 KiB
Go
570 lines
18 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 lookerconversationalanalytics
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"net/url"
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"strings"
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yaml "github.com/goccy/go-yaml"
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"github.com/googleapis/genai-toolbox/internal/embeddingmodels"
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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/util"
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"github.com/googleapis/genai-toolbox/internal/util/parameters"
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"github.com/looker-open-source/sdk-codegen/go/rtl"
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"golang.org/x/oauth2"
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)
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const kind string = "looker-conversational-analytics"
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const instructions = `**INSTRUCTIONS - FOLLOW THESE RULES:**
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1. **CONTENT:** Your answer should present the supporting data and then provide a conclusion based on that data.
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2. **OUTPUT FORMAT:** Your entire response MUST be in plain text format ONLY.
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3. **NO CHARTS:** You are STRICTLY FORBIDDEN from generating any charts, graphs, images, or any other form of visualization.`
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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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actual := Config{Name: name}
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if err := decoder.DecodeContext(ctx, &actual); err != nil {
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return nil, err
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}
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return actual, nil
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}
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type compatibleSource interface {
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GoogleCloudTokenSourceWithScope(ctx context.Context, scope string) (oauth2.TokenSource, error)
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GoogleCloudProject() string
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GoogleCloudLocation() string
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UseClientAuthorization() bool
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GetAuthTokenHeaderName() string
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LookerApiSettings() *rtl.ApiSettings
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}
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// Structs for building the JSON payload
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type UserMessage struct {
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Text string `json:"text"`
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}
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type Message struct {
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UserMessage UserMessage `json:"userMessage"`
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}
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type LookerExploreReference struct {
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LookerInstanceUri string `json:"lookerInstanceUri"`
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LookmlModel string `json:"lookmlModel"`
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Explore string `json:"explore"`
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}
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type LookerExploreReferences struct {
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ExploreReferences []LookerExploreReference `json:"exploreReferences"`
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Credentials Credentials `json:"credentials,omitzero"`
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}
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type SecretBased struct {
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ClientId string `json:"clientId"`
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ClientSecret string `json:"clientSecret"`
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}
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type TokenBased struct {
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AccessToken string `json:"accessToken"`
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}
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type OAuthCredentials struct {
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Secret SecretBased `json:"secret,omitzero"`
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Token TokenBased `json:"token,omitzero"`
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}
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type Credentials struct {
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OAuth OAuthCredentials `json:"oauth"`
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}
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type DatasourceReferences struct {
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Looker LookerExploreReferences `json:"looker"`
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}
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type ImageOptions struct {
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NoImage map[string]any `json:"noImage"`
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}
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type ChartOptions struct {
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Image ImageOptions `json:"image"`
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}
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type Python struct {
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Enabled bool `json:"enabled"`
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}
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type AnalysisOptions struct {
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Python Python `json:"python"`
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}
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type ConversationOptions struct {
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Chart ChartOptions `json:"chart,omitzero"`
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Analysis AnalysisOptions `json:"analysis,omitzero"`
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}
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type InlineContext struct {
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SystemInstruction string `json:"systemInstruction"`
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DatasourceReferences DatasourceReferences `json:"datasourceReferences"`
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Options ConversationOptions `json:"options"`
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}
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type CAPayload struct {
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Messages []Message `json:"messages"`
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InlineContext InlineContext `json:"inlineContext"`
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ClientIdEnum string `json:"clientIdEnum"`
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}
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type Config struct {
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Name string `yaml:"name" validate:"required"`
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Kind string `yaml:"kind" validate:"required"`
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Source string `yaml:"source" validate:"required"`
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Description string `yaml:"description" validate:"required"`
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AuthRequired []string `yaml:"authRequired"`
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Annotations *tools.ToolAnnotations `yaml:"annotations,omitempty"`
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}
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// validate interface
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var _ tools.ToolConfig = Config{}
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func (cfg Config) ToolConfigKind() string {
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return kind
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}
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func (cfg Config) Initialize(srcs map[string]sources.Source) (tools.Tool, error) {
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// verify source exists
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rawS, ok := srcs[cfg.Source]
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if !ok {
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return nil, fmt.Errorf("no source named %q configured", cfg.Source)
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}
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// verify the source is compatible
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s, ok := rawS.(compatibleSource)
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if !ok {
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return nil, fmt.Errorf("invalid source for %q tool: source %q not compatible", kind, cfg.Source)
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}
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if s.GoogleCloudProject() == "" {
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return nil, fmt.Errorf("project must be defined for source to use with %q tool", kind)
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}
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userQueryParameter := parameters.NewStringParameter("user_query_with_context", "The user's question, potentially including conversation history and system instructions for context.")
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exploreRefsDescription := `An Array of at least one and up to 5 explore references like [{'model': 'MODEL_NAME', 'explore': 'EXPLORE_NAME'}]`
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exploreRefsParameter := parameters.NewArrayParameter(
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"explore_references",
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exploreRefsDescription,
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parameters.NewMapParameter(
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"explore_reference",
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"An explore reference like {'model': 'MODEL_NAME', 'explore': 'EXPLORE_NAME'}",
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"",
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),
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)
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params := parameters.Parameters{userQueryParameter, exploreRefsParameter}
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annotations := cfg.Annotations
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if annotations == nil {
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readOnlyHint := true
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annotations = &tools.ToolAnnotations{
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ReadOnlyHint: &readOnlyHint,
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}
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}
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mcpManifest := tools.GetMcpManifest(cfg.Name, cfg.Description, cfg.AuthRequired, params, annotations)
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// Get cloud-platform token source for Gemini Data Analytics API during initialization
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ctx := context.Background()
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ts, err := s.GoogleCloudTokenSourceWithScope(ctx, "https://www.googleapis.com/auth/cloud-platform")
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if err != nil {
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return nil, fmt.Errorf("failed to get cloud-platform token source: %w", err)
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}
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// finish tool setup
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t := Tool{
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Config: cfg,
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Parameters: params,
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TokenSource: ts,
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manifest: tools.Manifest{Description: cfg.Description, Parameters: params.Manifest(), AuthRequired: cfg.AuthRequired},
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mcpManifest: mcpManifest,
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}
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return t, nil
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}
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// validate interface
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var _ tools.Tool = Tool{}
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type Tool struct {
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Config
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Parameters parameters.Parameters `yaml:"parameters"`
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TokenSource oauth2.TokenSource
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manifest tools.Manifest
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mcpManifest tools.McpManifest
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}
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func (t Tool) ToConfig() tools.ToolConfig {
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return t.Config
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}
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func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, params parameters.ParamValues, accessToken tools.AccessToken) (any, error) {
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source, err := tools.GetCompatibleSource[compatibleSource](resourceMgr, t.Source, t.Name, t.Kind)
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if err != nil {
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return nil, err
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}
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var tokenStr string
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// Get credentials for the API call
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// Use cloud-platform token source for Gemini Data Analytics API
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if t.TokenSource == nil {
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return nil, fmt.Errorf("cloud-platform token source is missing")
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}
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token, err := t.TokenSource.Token()
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if err != nil {
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return nil, fmt.Errorf("failed to get token from cloud-platform token source: %w", err)
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}
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tokenStr = token.AccessToken
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// Extract parameters from the map
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mapParams := params.AsMap()
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userQuery, _ := mapParams["user_query_with_context"].(string)
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exploreReferences, _ := mapParams["explore_references"].([]any)
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ler := make([]LookerExploreReference, 0)
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for _, er := range exploreReferences {
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ler = append(ler, LookerExploreReference{
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LookerInstanceUri: source.LookerApiSettings().BaseUrl,
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LookmlModel: er.(map[string]any)["model"].(string),
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Explore: er.(map[string]any)["explore"].(string),
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})
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}
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oauth_creds := OAuthCredentials{}
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if source.UseClientAuthorization() {
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oauth_creds.Token = TokenBased{AccessToken: string(accessToken)}
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} else {
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oauth_creds.Secret = SecretBased{ClientId: source.LookerApiSettings().ClientId, ClientSecret: source.LookerApiSettings().ClientSecret}
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}
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lers := LookerExploreReferences{
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ExploreReferences: ler,
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Credentials: Credentials{
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OAuth: oauth_creds,
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},
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}
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// Construct URL, headers, and payload
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projectID := source.GoogleCloudProject()
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location := source.GoogleCloudLocation()
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caURL := fmt.Sprintf("https://geminidataanalytics.googleapis.com/v1beta/projects/%s/locations/%s:chat", url.PathEscape(projectID), url.PathEscape(location))
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headers := map[string]string{
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"Authorization": fmt.Sprintf("Bearer %s", tokenStr),
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"Content-Type": "application/json",
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}
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payload := CAPayload{
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Messages: []Message{{UserMessage: UserMessage{Text: userQuery}}},
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InlineContext: InlineContext{
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SystemInstruction: instructions,
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DatasourceReferences: DatasourceReferences{
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Looker: lers,
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},
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Options: ConversationOptions{Chart: ChartOptions{Image: ImageOptions{NoImage: map[string]any{}}}},
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},
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ClientIdEnum: "GENAI_TOOLBOX",
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}
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// Call the streaming API
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response, err := getStream(ctx, caURL, payload, headers)
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if err != nil {
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return nil, fmt.Errorf("failed to get response from conversational analytics API: %w", err)
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}
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return response, nil
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}
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func (t Tool) ParseParams(data map[string]any, claims map[string]map[string]any) (parameters.ParamValues, error) {
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return parameters.ParseParams(t.Parameters, data, claims)
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}
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func (t Tool) EmbedParams(ctx context.Context, paramValues parameters.ParamValues, embeddingModelsMap map[string]embeddingmodels.EmbeddingModel) (parameters.ParamValues, error) {
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return parameters.EmbedParams(ctx, t.Parameters, paramValues, embeddingModelsMap, nil)
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}
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func (t Tool) Manifest() tools.Manifest {
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return t.manifest
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}
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func (t Tool) McpManifest() tools.McpManifest {
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return t.mcpManifest
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}
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func (t Tool) RequiresClientAuthorization(resourceMgr tools.SourceProvider) (bool, error) {
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source, err := tools.GetCompatibleSource[compatibleSource](resourceMgr, t.Source, t.Name, t.Kind)
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if err != nil {
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return false, err
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}
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return source.UseClientAuthorization(), nil
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}
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func (t Tool) Authorized(verifiedAuthServices []string) bool {
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return tools.IsAuthorized(t.AuthRequired, verifiedAuthServices)
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}
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// StreamMessage represents a single message object from the streaming API response.
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type StreamMessage struct {
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SystemMessage *SystemMessage `json:"systemMessage,omitempty"`
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}
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// SystemMessage contains different types of system-generated content.
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type SystemMessage struct {
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Text *TextMessage `json:"text,omitempty"`
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Schema *SchemaMessage `json:"schema,omitempty"`
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Data *DataMessage `json:"data,omitempty"`
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Analysis *AnalysisMessage `json:"analysis,omitempty"`
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Error *ErrorMessage `json:"error,omitempty"`
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}
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// TextMessage contains textual parts of a message.
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type TextMessage struct {
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Parts []string `json:"parts"`
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}
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// SchemaMessage contains schema-related information.
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type SchemaMessage struct {
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Query *SchemaQuery `json:"query,omitempty"`
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Result *SchemaResult `json:"result,omitempty"`
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}
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// SchemaQuery holds the question that prompted a schema lookup.
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type SchemaQuery struct {
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Question string `json:"question"`
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}
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// SchemaResult contains the datasources with their schemas.
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type SchemaResult struct {
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Datasources []Datasource `json:"datasources"`
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}
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// Datasource represents a data source with its reference and schema.
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type Datasource struct {
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LookerExploreReference LookerExploreReference `json:"lookerExploreReference"`
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}
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// DataMessage contains data-related information, like queries and results.
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type DataMessage struct {
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GeneratedLookerQuery *LookerQuery `json:"generatedLookerQuery,omitempty"`
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Result *DataResult `json:"result,omitempty"`
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}
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type LookerQuery struct {
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Model string `json:"model"`
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Explore string `json:"explore"`
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Fields []string `json:"fields"`
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Filters []Filter `json:"filters,omitempty"`
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Sorts []string `json:"sorts,omitempty"`
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Limit string `json:"limit,omitempty"`
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}
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type Filter struct {
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Field string `json:"field,omitempty"`
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Value string `json:"value,omitempty"`
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}
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// DataResult contains the schema and rows of a query result.
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type DataResult struct {
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Data []map[string]any `json:"data"`
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}
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type AnalysisQuery struct {
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Question string `json:"question,omitempty"`
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DataResultNames []string `json:"dataResultNames,omitempty"`
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}
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type AnalysisEvent struct {
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PlannerReasoning string `json:"plannerReasoning,omitempty"`
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CoderInstructions string `json:"coderInstructions,omitempty"`
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Code string `json:"code,omitempty"`
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ExecutionOutput string `json:"executionOutput,omitempty"`
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ExecutionError string `json:"executionError,omitempty"`
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ResultVegaChartJson string `json:"resultVegaChartJson,omitempty"`
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ResultNaturalLanguage string `json:"resultNaturalLanguage,omitempty"`
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ResultCsvData string `json:"resultCsvData,omitempty"`
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ResultReferenceData string `json:"resultReferenceData,omitempty"`
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Error string `json:"error,omitempty"`
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}
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type AnalysisMessage struct {
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Query AnalysisQuery `json:"query,omitempty"`
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ProgressEvent AnalysisEvent `json:"progressEvent,omitempty"`
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}
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// ErrorResponse represents an error message from the API.
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type ErrorMessage struct {
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Text string `json:"text"`
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}
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func getStream(ctx context.Context, url string, payload CAPayload, headers map[string]string) ([]map[string]any, error) {
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payloadBytes, err := json.Marshal(payload)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal payload: %w", err)
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}
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req, err := http.NewRequest("POST", url, bytes.NewBuffer(payloadBytes))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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for k, v := range headers {
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req.Header.Set(k, v)
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}
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client := &http.Client{}
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resp, err := client.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(resp.Body)
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return nil, fmt.Errorf("API returned non-200 status: %d %s", resp.StatusCode, string(body))
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}
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var messages []map[string]any
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decoder := json.NewDecoder(resp.Body)
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// The response is a JSON array, so we read the opening bracket.
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if _, err := decoder.Token(); err != nil {
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if err == io.EOF {
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return nil, nil // Empty response is valid
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}
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return nil, fmt.Errorf("error reading start of json array: %w", err)
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}
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for decoder.More() {
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var msg StreamMessage
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if err := decoder.Decode(&msg); err != nil {
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if err == io.EOF {
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break
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}
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return nil, fmt.Errorf("error decoding stream message: %w", err)
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}
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var newMessage map[string]any
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if msg.SystemMessage != nil {
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if msg.SystemMessage.Text != nil {
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newMessage = handleTextResponse(ctx, msg.SystemMessage.Text)
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} else if msg.SystemMessage.Schema != nil {
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newMessage = handleSchemaResponse(ctx, msg.SystemMessage.Schema)
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} else if msg.SystemMessage.Data != nil {
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newMessage = handleDataResponse(ctx, msg.SystemMessage.Data)
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} else if msg.SystemMessage.Analysis != nil {
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newMessage = handleAnalysisResponse(ctx, msg.SystemMessage.Analysis)
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} else if msg.SystemMessage.Error != nil {
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newMessage = handleError(ctx, msg.SystemMessage.Error)
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}
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messages = appendMessage(messages, newMessage)
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}
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}
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return messages, nil
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}
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func formatDatasourceAsDict(ctx context.Context, datasource *Datasource) map[string]any {
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logger, _ := util.LoggerFromContext(ctx)
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logger.DebugContext(ctx, "Datasource %s", *datasource)
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ds := make(map[string]any)
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ds["model"] = datasource.LookerExploreReference.LookmlModel
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ds["explore"] = datasource.LookerExploreReference.Explore
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ds["lookerInstanceUri"] = datasource.LookerExploreReference.LookerInstanceUri
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return map[string]any{"Datasource": ds}
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}
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func handleAnalysisResponse(ctx context.Context, resp *AnalysisMessage) map[string]any {
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logger, _ := util.LoggerFromContext(ctx)
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jsonData, err := json.Marshal(*resp)
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if err != nil {
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logger.ErrorContext(ctx, "error marshaling struct: %w", err)
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return map[string]any{"Analysis": "error"}
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}
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return map[string]any{"Analysis": jsonData}
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}
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func handleTextResponse(ctx context.Context, resp *TextMessage) map[string]any {
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logger, _ := util.LoggerFromContext(ctx)
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logger.DebugContext(ctx, "Text Response: %s", strings.Join(resp.Parts, ""))
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return map[string]any{"Answer": strings.Join(resp.Parts, "")}
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}
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func handleSchemaResponse(ctx context.Context, resp *SchemaMessage) map[string]any {
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if resp.Query != nil {
|
|
return map[string]any{"Question": resp.Query.Question}
|
|
}
|
|
if resp.Result != nil {
|
|
var formattedSources []map[string]any
|
|
for _, ds := range resp.Result.Datasources {
|
|
formattedSources = append(formattedSources, formatDatasourceAsDict(ctx, &ds))
|
|
}
|
|
return map[string]any{"Schema Resolved": formattedSources}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func handleDataResponse(ctx context.Context, resp *DataMessage) map[string]any {
|
|
if resp.GeneratedLookerQuery != nil {
|
|
logger, _ := util.LoggerFromContext(ctx)
|
|
jsonData, err := json.Marshal(resp.GeneratedLookerQuery)
|
|
if err != nil {
|
|
logger.ErrorContext(ctx, "error marshaling struct: %w", err)
|
|
return map[string]any{"Retrieval Query": "error"}
|
|
}
|
|
return map[string]any{
|
|
"Retrieval Query": jsonData,
|
|
}
|
|
}
|
|
if resp.Result != nil {
|
|
|
|
return map[string]any{
|
|
"Data Retrieved": resp.Result.Data,
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func handleError(ctx context.Context, resp *ErrorMessage) map[string]any {
|
|
logger, _ := util.LoggerFromContext(ctx)
|
|
logger.DebugContext(ctx, "Error Response: %s", resp.Text)
|
|
return map[string]any{
|
|
"Error": map[string]any{
|
|
"Message": resp.Text,
|
|
},
|
|
}
|
|
}
|
|
|
|
func appendMessage(messages []map[string]any, newMessage map[string]any) []map[string]any {
|
|
if newMessage == nil {
|
|
return messages
|
|
}
|
|
if len(messages) > 0 {
|
|
if _, ok := messages[len(messages)-1]["Data Retrieved"]; ok {
|
|
messages = messages[:len(messages)-1]
|
|
}
|
|
}
|
|
return append(messages, newMessage)
|
|
}
|
|
|
|
func (t Tool) GetAuthTokenHeaderName(resourceMgr tools.SourceProvider) (string, error) {
|
|
source, err := tools.GetCompatibleSource[compatibleSource](resourceMgr, t.Source, t.Name, t.Kind)
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
return source.GetAuthTokenHeaderName(), nil
|
|
}
|