mirror of
https://github.com/googleapis/genai-toolbox.git
synced 2026-01-08 23:18:04 -05:00
refactor(sources/bigquery): move source implementation in Invoke() function to Source (#2242)
Move source-related queries from `Invoke()` function into Source. This is an effort to generalizing tools to work with any Source that implements a specific interface. This will provide a better segregation of the roles for Tools vs Source. Tool's role will be limited to the following: * Resolve any pre-implementation steps or parameters (e.g. template parameters) * Retrieving Source * Calling the source's implementation
This commit is contained in:
@@ -17,7 +17,9 @@ package bigquery
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import (
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"context"
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"fmt"
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"math/big"
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"net/http"
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"reflect"
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"strings"
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"sync"
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"time"
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@@ -26,13 +28,16 @@ import (
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dataplexapi "cloud.google.com/go/dataplex/apiv1"
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"github.com/goccy/go-yaml"
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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/orderedmap"
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"go.opentelemetry.io/otel/trace"
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"golang.org/x/oauth2"
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"golang.org/x/oauth2/google"
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bigqueryrestapi "google.golang.org/api/bigquery/v2"
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"google.golang.org/api/googleapi"
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"google.golang.org/api/impersonate"
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"google.golang.org/api/iterator"
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"google.golang.org/api/option"
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)
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@@ -483,6 +488,131 @@ func (s *Source) lazyInitDataplexClient(ctx context.Context, tracer trace.Tracer
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}
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}
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func (s *Source) RetrieveClientAndService(accessToken tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error) {
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bqClient := s.BigQueryClient()
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restService := s.BigQueryRestService()
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// Initialize new client if using user OAuth token
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if s.UseClientAuthorization() {
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tokenStr, err := accessToken.ParseBearerToken()
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if err != nil {
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return nil, nil, fmt.Errorf("error parsing access token: %w", err)
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}
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bqClient, restService, err = s.BigQueryClientCreator()(tokenStr, true)
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if err != nil {
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return nil, nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
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}
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}
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return bqClient, restService, nil
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}
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func (s *Source) RunSQL(ctx context.Context, bqClient *bigqueryapi.Client, statement, statementType string, params []bigqueryapi.QueryParameter, connProps []*bigqueryapi.ConnectionProperty) (any, error) {
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query := bqClient.Query(statement)
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query.Location = bqClient.Location
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if params != nil {
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query.Parameters = params
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}
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if connProps != nil {
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query.ConnectionProperties = connProps
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}
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// This block handles SELECT statements, which return a row set.
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// We iterate through the results, convert each row into a map of
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// column names to values, and return the collection of rows.
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job, err := query.Run(ctx)
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if err != nil {
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return nil, fmt.Errorf("unable to execute query: %w", err)
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}
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it, err := job.Read(ctx)
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if err != nil {
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return nil, fmt.Errorf("unable to read query results: %w", err)
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}
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var out []any
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for {
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var val []bigqueryapi.Value
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err = it.Next(&val)
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if err == iterator.Done {
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break
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}
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if err != nil {
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return nil, fmt.Errorf("unable to iterate through query results: %w", err)
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}
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schema := it.Schema
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row := orderedmap.Row{}
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for i, field := range schema {
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row.Add(field.Name, NormalizeValue(val[i]))
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}
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out = append(out, row)
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}
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// If the query returned any rows, return them directly.
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if len(out) > 0 {
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return out, nil
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}
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// This handles the standard case for a SELECT query that successfully
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// executes but returns zero rows.
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if statementType == "SELECT" {
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return "The query returned 0 rows.", nil
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}
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// This is the fallback for a successful query that doesn't return content.
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// In most cases, this will be for DML/DDL statements like INSERT, UPDATE, CREATE, etc.
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// However, it is also possible that this was a query that was expected to return rows
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// but returned none, a case that we cannot distinguish here.
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return "Query executed successfully and returned no content.", nil
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}
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// NormalizeValue converts BigQuery specific types to standard JSON-compatible types.
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// Specifically, it handles *big.Rat (used for NUMERIC/BIGNUMERIC) by converting
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// them to decimal strings with up to 38 digits of precision, trimming trailing zeros.
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// It recursively handles slices (arrays) and maps (structs) using reflection.
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func NormalizeValue(v any) any {
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if v == nil {
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return nil
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}
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// Handle *big.Rat specifically.
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if rat, ok := v.(*big.Rat); ok {
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// Convert big.Rat to a decimal string.
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// Use a precision of 38 digits (enough for BIGNUMERIC and NUMERIC)
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// and trim trailing zeros to match BigQuery's behavior.
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s := rat.FloatString(38)
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if strings.Contains(s, ".") {
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s = strings.TrimRight(s, "0")
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s = strings.TrimRight(s, ".")
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}
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return s
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}
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// Use reflection for slices and maps to handle various underlying types.
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rv := reflect.ValueOf(v)
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switch rv.Kind() {
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case reflect.Slice, reflect.Array:
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// Preserve []byte as is, so json.Marshal encodes it as Base64 string (BigQuery BYTES behavior).
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if rv.Type().Elem().Kind() == reflect.Uint8 {
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return v
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}
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newSlice := make([]any, rv.Len())
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for i := 0; i < rv.Len(); i++ {
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newSlice[i] = NormalizeValue(rv.Index(i).Interface())
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}
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return newSlice
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case reflect.Map:
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// Ensure keys are strings to produce a JSON-compatible map.
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if rv.Type().Key().Kind() != reflect.String {
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return v
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}
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newMap := make(map[string]any, rv.Len())
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iter := rv.MapRange()
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for iter.Next() {
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newMap[iter.Key().String()] = NormalizeValue(iter.Value().Interface())
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}
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return newMap
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}
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return v
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}
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func initBigQueryConnection(
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ctx context.Context,
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tracer trace.Tracer,
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@@ -15,6 +15,8 @@
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package bigquery_test
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import (
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"math/big"
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"reflect"
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"testing"
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yaml "github.com/goccy/go-yaml"
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@@ -195,3 +197,105 @@ func TestFailParseFromYaml(t *testing.T) {
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})
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}
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}
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func TestNormalizeValue(t *testing.T) {
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tests := []struct {
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name string
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input any
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expected any
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}{
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{
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name: "big.Rat 1/3 (NUMERIC scale 9)",
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input: new(big.Rat).SetFrac64(1, 3), // 0.33333333333...
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expected: "0.33333333333333333333333333333333333333", // FloatString(38)
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},
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{
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name: "big.Rat 19/2 (9.5)",
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input: new(big.Rat).SetFrac64(19, 2),
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expected: "9.5",
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},
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{
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name: "big.Rat 12341/10 (1234.1)",
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input: new(big.Rat).SetFrac64(12341, 10),
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expected: "1234.1",
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},
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{
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name: "big.Rat 10/1 (10)",
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input: new(big.Rat).SetFrac64(10, 1),
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expected: "10",
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},
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{
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name: "string",
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input: "hello",
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expected: "hello",
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},
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{
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name: "int",
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input: 123,
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expected: 123,
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},
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{
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name: "nested slice of big.Rat",
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input: []any{
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new(big.Rat).SetFrac64(19, 2),
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new(big.Rat).SetFrac64(1, 4),
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},
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expected: []any{"9.5", "0.25"},
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},
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{
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name: "nested map of big.Rat",
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input: map[string]any{
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"val1": new(big.Rat).SetFrac64(19, 2),
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"val2": new(big.Rat).SetFrac64(1, 2),
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},
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expected: map[string]any{
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"val1": "9.5",
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"val2": "0.5",
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},
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},
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{
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name: "complex nested structure",
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input: map[string]any{
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"list": []any{
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map[string]any{
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"rat": new(big.Rat).SetFrac64(3, 2),
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},
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},
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},
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expected: map[string]any{
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"list": []any{
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map[string]any{
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"rat": "1.5",
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},
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},
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},
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},
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{
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name: "slice of *big.Rat",
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input: []*big.Rat{
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new(big.Rat).SetFrac64(19, 2),
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new(big.Rat).SetFrac64(1, 4),
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},
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expected: []any{"9.5", "0.25"},
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},
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{
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name: "slice of strings",
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input: []string{"a", "b"},
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expected: []any{"a", "b"},
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},
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{
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name: "byte slice (BYTES)",
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input: []byte("hello"),
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expected: []byte("hello"),
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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got := bigquery.NormalizeValue(tt.input)
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if !reflect.DeepEqual(got, tt.expected) {
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t.Errorf("NormalizeValue() = %v, want %v", got, tt.expected)
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}
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})
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}
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}
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@@ -28,7 +28,6 @@ import (
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bqutil "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerycommon"
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"github.com/googleapis/genai-toolbox/internal/util/parameters"
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bigqueryrestapi "google.golang.org/api/bigquery/v2"
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"google.golang.org/api/iterator"
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)
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const kind string = "bigquery-analyze-contribution"
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@@ -49,12 +48,12 @@ func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.T
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type compatibleSource interface {
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BigQueryClient() *bigqueryapi.Client
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BigQueryRestService() *bigqueryrestapi.Service
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BigQueryClientCreator() bigqueryds.BigqueryClientCreator
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UseClientAuthorization() bool
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IsDatasetAllowed(projectID, datasetID string) bool
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BigQueryAllowedDatasets() []string
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BigQuerySession() bigqueryds.BigQuerySessionProvider
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RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
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RunSQL(context.Context, *bigqueryapi.Client, string, string, []bigqueryapi.QueryParameter, []*bigqueryapi.ConnectionProperty) (any, error)
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}
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type Config struct {
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@@ -166,19 +165,9 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
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return nil, fmt.Errorf("unable to cast input_data parameter %s", paramsMap["input_data"])
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}
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bqClient := source.BigQueryClient()
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restService := source.BigQueryRestService()
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// Initialize new client if using user OAuth token
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if source.UseClientAuthorization() {
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tokenStr, err := accessToken.ParseBearerToken()
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if err != nil {
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return nil, fmt.Errorf("error parsing access token: %w", err)
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}
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bqClient, restService, err = source.BigQueryClientCreator()(tokenStr, true)
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if err != nil {
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return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
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}
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bqClient, restService, err := source.RetrieveClientAndService(accessToken)
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if err != nil {
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return nil, err
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}
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modelID := fmt.Sprintf("contribution_analysis_model_%s", strings.ReplaceAll(uuid.New().String(), "-", ""))
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@@ -314,43 +303,8 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
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}
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getInsightsSQL := fmt.Sprintf("SELECT * FROM ML.GET_INSIGHTS(MODEL %s)", modelID)
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getInsightsQuery := bqClient.Query(getInsightsSQL)
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getInsightsQuery.ConnectionProperties = []*bigqueryapi.ConnectionProperty{{Key: "session_id", Value: sessionID}}
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job, err := getInsightsQuery.Run(ctx)
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if err != nil {
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return nil, fmt.Errorf("failed to execute get insights query: %w", err)
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}
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it, err := job.Read(ctx)
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if err != nil {
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return nil, fmt.Errorf("unable to read query results: %w", err)
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}
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var out []any
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for {
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var row map[string]bigqueryapi.Value
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err := it.Next(&row)
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if err == iterator.Done {
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break
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}
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if err != nil {
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return nil, fmt.Errorf("failed to iterate through query results: %w", err)
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}
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vMap := make(map[string]any)
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for key, value := range row {
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vMap[key] = value
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}
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out = append(out, vMap)
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}
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if len(out) > 0 {
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return out, nil
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}
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|
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// This handles the standard case for a SELECT query that successfully
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// executes but returns zero rows.
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return "The query returned 0 rows.", nil
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connProps := []*bigqueryapi.ConnectionProperty{{Key: "session_id", Value: sessionID}}
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return source.RunSQL(ctx, bqClient, getInsightsSQL, "SELECT", nil, connProps)
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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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@@ -1,123 +0,0 @@
|
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// Copyright 2025 Google LLC
|
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//
|
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// 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
|
||||
//
|
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// 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 bigquerycommon
|
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|
||||
import (
|
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"math/big"
|
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"reflect"
|
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"testing"
|
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)
|
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|
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func TestNormalizeValue(t *testing.T) {
|
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tests := []struct {
|
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name string
|
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input any
|
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expected any
|
||||
}{
|
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{
|
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name: "big.Rat 1/3 (NUMERIC scale 9)",
|
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input: new(big.Rat).SetFrac64(1, 3), // 0.33333333333...
|
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expected: "0.33333333333333333333333333333333333333", // FloatString(38)
|
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},
|
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{
|
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name: "big.Rat 19/2 (9.5)",
|
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input: new(big.Rat).SetFrac64(19, 2),
|
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expected: "9.5",
|
||||
},
|
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{
|
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name: "big.Rat 12341/10 (1234.1)",
|
||||
input: new(big.Rat).SetFrac64(12341, 10),
|
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expected: "1234.1",
|
||||
},
|
||||
{
|
||||
name: "big.Rat 10/1 (10)",
|
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input: new(big.Rat).SetFrac64(10, 1),
|
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expected: "10",
|
||||
},
|
||||
{
|
||||
name: "string",
|
||||
input: "hello",
|
||||
expected: "hello",
|
||||
},
|
||||
{
|
||||
name: "int",
|
||||
input: 123,
|
||||
expected: 123,
|
||||
},
|
||||
{
|
||||
name: "nested slice of big.Rat",
|
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input: []any{
|
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new(big.Rat).SetFrac64(19, 2),
|
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new(big.Rat).SetFrac64(1, 4),
|
||||
},
|
||||
expected: []any{"9.5", "0.25"},
|
||||
},
|
||||
{
|
||||
name: "nested map of big.Rat",
|
||||
input: map[string]any{
|
||||
"val1": new(big.Rat).SetFrac64(19, 2),
|
||||
"val2": new(big.Rat).SetFrac64(1, 2),
|
||||
},
|
||||
expected: map[string]any{
|
||||
"val1": "9.5",
|
||||
"val2": "0.5",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "complex nested structure",
|
||||
input: map[string]any{
|
||||
"list": []any{
|
||||
map[string]any{
|
||||
"rat": new(big.Rat).SetFrac64(3, 2),
|
||||
},
|
||||
},
|
||||
},
|
||||
expected: map[string]any{
|
||||
"list": []any{
|
||||
map[string]any{
|
||||
"rat": "1.5",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "slice of *big.Rat",
|
||||
input: []*big.Rat{
|
||||
new(big.Rat).SetFrac64(19, 2),
|
||||
new(big.Rat).SetFrac64(1, 4),
|
||||
},
|
||||
expected: []any{"9.5", "0.25"},
|
||||
},
|
||||
{
|
||||
name: "slice of strings",
|
||||
input: []string{"a", "b"},
|
||||
expected: []any{"a", "b"},
|
||||
},
|
||||
{
|
||||
name: "byte slice (BYTES)",
|
||||
input: []byte("hello"),
|
||||
expected: []byte("hello"),
|
||||
},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
got := NormalizeValue(tt.input)
|
||||
if !reflect.DeepEqual(got, tt.expected) {
|
||||
t.Errorf("NormalizeValue() = %v, want %v", got, tt.expected)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -17,8 +17,6 @@ package bigquerycommon
|
||||
import (
|
||||
"context"
|
||||
"fmt"
|
||||
"math/big"
|
||||
"reflect"
|
||||
"sort"
|
||||
"strings"
|
||||
|
||||
@@ -120,54 +118,3 @@ func InitializeDatasetParameters(
|
||||
|
||||
return projectParam, datasetParam
|
||||
}
|
||||
|
||||
// NormalizeValue converts BigQuery specific types to standard JSON-compatible types.
|
||||
// Specifically, it handles *big.Rat (used for NUMERIC/BIGNUMERIC) by converting
|
||||
// them to decimal strings with up to 38 digits of precision, trimming trailing zeros.
|
||||
// It recursively handles slices (arrays) and maps (structs) using reflection.
|
||||
func NormalizeValue(v any) any {
|
||||
if v == nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
// Handle *big.Rat specifically.
|
||||
if rat, ok := v.(*big.Rat); ok {
|
||||
// Convert big.Rat to a decimal string.
|
||||
// Use a precision of 38 digits (enough for BIGNUMERIC and NUMERIC)
|
||||
// and trim trailing zeros to match BigQuery's behavior.
|
||||
s := rat.FloatString(38)
|
||||
if strings.Contains(s, ".") {
|
||||
s = strings.TrimRight(s, "0")
|
||||
s = strings.TrimRight(s, ".")
|
||||
}
|
||||
return s
|
||||
}
|
||||
|
||||
// Use reflection for slices and maps to handle various underlying types.
|
||||
rv := reflect.ValueOf(v)
|
||||
switch rv.Kind() {
|
||||
case reflect.Slice, reflect.Array:
|
||||
// Preserve []byte as is, so json.Marshal encodes it as Base64 string (BigQuery BYTES behavior).
|
||||
if rv.Type().Elem().Kind() == reflect.Uint8 {
|
||||
return v
|
||||
}
|
||||
newSlice := make([]any, rv.Len())
|
||||
for i := 0; i < rv.Len(); i++ {
|
||||
newSlice[i] = NormalizeValue(rv.Index(i).Interface())
|
||||
}
|
||||
return newSlice
|
||||
case reflect.Map:
|
||||
// Ensure keys are strings to produce a JSON-compatible map.
|
||||
if rv.Type().Key().Kind() != reflect.String {
|
||||
return v
|
||||
}
|
||||
newMap := make(map[string]any, rv.Len())
|
||||
iter := rv.MapRange()
|
||||
for iter.Next() {
|
||||
newMap[iter.Key().String()] = NormalizeValue(iter.Value().Interface())
|
||||
}
|
||||
return newMap
|
||||
}
|
||||
|
||||
return v
|
||||
}
|
||||
|
||||
@@ -27,10 +27,8 @@ import (
|
||||
"github.com/googleapis/genai-toolbox/internal/tools"
|
||||
bqutil "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerycommon"
|
||||
"github.com/googleapis/genai-toolbox/internal/util"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/orderedmap"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
bigqueryrestapi "google.golang.org/api/bigquery/v2"
|
||||
"google.golang.org/api/iterator"
|
||||
)
|
||||
|
||||
const kind string = "bigquery-execute-sql"
|
||||
@@ -53,11 +51,11 @@ type compatibleSource interface {
|
||||
BigQueryClient() *bigqueryapi.Client
|
||||
BigQuerySession() bigqueryds.BigQuerySessionProvider
|
||||
BigQueryWriteMode() string
|
||||
BigQueryRestService() *bigqueryrestapi.Service
|
||||
BigQueryClientCreator() bigqueryds.BigqueryClientCreator
|
||||
UseClientAuthorization() bool
|
||||
IsDatasetAllowed(projectID, datasetID string) bool
|
||||
BigQueryAllowedDatasets() []string
|
||||
RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
|
||||
RunSQL(context.Context, *bigqueryapi.Client, string, string, []bigqueryapi.QueryParameter, []*bigqueryapi.ConnectionProperty) (any, error)
|
||||
}
|
||||
|
||||
type Config struct {
|
||||
@@ -169,19 +167,9 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
return nil, fmt.Errorf("unable to cast dry_run parameter %s", paramsMap["dry_run"])
|
||||
}
|
||||
|
||||
bqClient := source.BigQueryClient()
|
||||
restService := source.BigQueryRestService()
|
||||
|
||||
// Initialize new client if using user OAuth token
|
||||
if source.UseClientAuthorization() {
|
||||
tokenStr, err := accessToken.ParseBearerToken()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error parsing access token: %w", err)
|
||||
}
|
||||
bqClient, restService, err = source.BigQueryClientCreator()(tokenStr, true)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
|
||||
}
|
||||
bqClient, restService, err := source.RetrieveClientAndService(accessToken)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
var connProps []*bigqueryapi.ConnectionProperty
|
||||
@@ -283,61 +271,13 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
return "Dry run was requested, but no job information was returned.", nil
|
||||
}
|
||||
|
||||
query := bqClient.Query(sql)
|
||||
query.Location = bqClient.Location
|
||||
|
||||
query.ConnectionProperties = connProps
|
||||
|
||||
// Log the query executed for debugging.
|
||||
logger, err := util.LoggerFromContext(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error getting logger: %s", err)
|
||||
}
|
||||
logger.DebugContext(ctx, fmt.Sprintf("executing `%s` tool query: %s", kind, sql))
|
||||
|
||||
// This block handles SELECT statements, which return a row set.
|
||||
// We iterate through the results, convert each row into a map of
|
||||
// column names to values, and return the collection of rows.
|
||||
var out []any
|
||||
job, err := query.Run(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to execute query: %w", err)
|
||||
}
|
||||
it, err := job.Read(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to read query results: %w", err)
|
||||
}
|
||||
for {
|
||||
var val []bigqueryapi.Value
|
||||
err = it.Next(&val)
|
||||
if err == iterator.Done {
|
||||
break
|
||||
}
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to iterate through query results: %w", err)
|
||||
}
|
||||
schema := it.Schema
|
||||
row := orderedmap.Row{}
|
||||
for i, field := range schema {
|
||||
row.Add(field.Name, bqutil.NormalizeValue(val[i]))
|
||||
}
|
||||
out = append(out, row)
|
||||
}
|
||||
// If the query returned any rows, return them directly.
|
||||
if len(out) > 0 {
|
||||
return out, nil
|
||||
}
|
||||
|
||||
// This handles the standard case for a SELECT query that successfully
|
||||
// executes but returns zero rows.
|
||||
if statementType == "SELECT" {
|
||||
return "The query returned 0 rows.", nil
|
||||
}
|
||||
// This is the fallback for a successful query that doesn't return content.
|
||||
// In most cases, this will be for DML/DDL statements like INSERT, UPDATE, CREATE, etc.
|
||||
// However, it is also possible that this was a query that was expected to return rows
|
||||
// but returned none, a case that we cannot distinguish here.
|
||||
return "Query executed successfully and returned no content.", nil
|
||||
return source.RunSQL(ctx, bqClient, sql, statementType, nil, connProps)
|
||||
}
|
||||
|
||||
func (t Tool) ParseParams(data map[string]any, claims map[string]map[string]any) (parameters.ParamValues, error) {
|
||||
|
||||
@@ -28,7 +28,6 @@ import (
|
||||
"github.com/googleapis/genai-toolbox/internal/util"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
bigqueryrestapi "google.golang.org/api/bigquery/v2"
|
||||
"google.golang.org/api/iterator"
|
||||
)
|
||||
|
||||
const kind string = "bigquery-forecast"
|
||||
@@ -49,12 +48,12 @@ func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.T
|
||||
|
||||
type compatibleSource interface {
|
||||
BigQueryClient() *bigqueryapi.Client
|
||||
BigQueryRestService() *bigqueryrestapi.Service
|
||||
BigQueryClientCreator() bigqueryds.BigqueryClientCreator
|
||||
UseClientAuthorization() bool
|
||||
IsDatasetAllowed(projectID, datasetID string) bool
|
||||
BigQueryAllowedDatasets() []string
|
||||
BigQuerySession() bigqueryds.BigQuerySessionProvider
|
||||
RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
|
||||
RunSQL(context.Context, *bigqueryapi.Client, string, string, []bigqueryapi.QueryParameter, []*bigqueryapi.ConnectionProperty) (any, error)
|
||||
}
|
||||
|
||||
type Config struct {
|
||||
@@ -173,19 +172,9 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
}
|
||||
}
|
||||
|
||||
bqClient := source.BigQueryClient()
|
||||
restService := source.BigQueryRestService()
|
||||
|
||||
// Initialize new client if using user OAuth token
|
||||
if source.UseClientAuthorization() {
|
||||
tokenStr, err := accessToken.ParseBearerToken()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error parsing access token: %w", err)
|
||||
}
|
||||
bqClient, restService, err = source.BigQueryClientCreator()(tokenStr, false)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
|
||||
}
|
||||
bqClient, restService, err := source.RetrieveClientAndService(accessToken)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
var historyDataSource string
|
||||
@@ -251,7 +240,6 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
idColsFormatted := fmt.Sprintf("['%s']", strings.Join(idCols, "', '"))
|
||||
idColsArg = fmt.Sprintf(", id_cols => %s", idColsFormatted)
|
||||
}
|
||||
|
||||
sql := fmt.Sprintf(`SELECT *
|
||||
FROM AI.FORECAST(
|
||||
%s,
|
||||
@@ -260,16 +248,14 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
horizon => %d%s)`,
|
||||
historyDataSource, dataCol, timestampCol, horizon, idColsArg)
|
||||
|
||||
// JobStatistics.QueryStatistics.StatementType
|
||||
query := bqClient.Query(sql)
|
||||
query.Location = bqClient.Location
|
||||
session, err := source.BigQuerySession()(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to get BigQuery session: %w", err)
|
||||
}
|
||||
var connProps []*bigqueryapi.ConnectionProperty
|
||||
if session != nil {
|
||||
// Add session ID to the connection properties for subsequent calls.
|
||||
query.ConnectionProperties = []*bigqueryapi.ConnectionProperty{
|
||||
connProps = []*bigqueryapi.ConnectionProperty{
|
||||
{Key: "session_id", Value: session.ID},
|
||||
}
|
||||
}
|
||||
@@ -281,40 +267,7 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
}
|
||||
logger.DebugContext(ctx, fmt.Sprintf("executing `%s` tool query: %s", kind, sql))
|
||||
|
||||
// This block handles SELECT statements, which return a row set.
|
||||
// We iterate through the results, convert each row into a map of
|
||||
// column names to values, and return the collection of rows.
|
||||
var out []any
|
||||
job, err := query.Run(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to execute query: %w", err)
|
||||
}
|
||||
it, err := job.Read(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to read query results: %w", err)
|
||||
}
|
||||
for {
|
||||
var row map[string]bigqueryapi.Value
|
||||
err = it.Next(&row)
|
||||
if err == iterator.Done {
|
||||
break
|
||||
}
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to iterate through query results: %w", err)
|
||||
}
|
||||
vMap := make(map[string]any)
|
||||
for key, value := range row {
|
||||
vMap[key] = value
|
||||
}
|
||||
out = append(out, vMap)
|
||||
}
|
||||
// If the query returned any rows, return them directly.
|
||||
if len(out) > 0 {
|
||||
return out, nil
|
||||
}
|
||||
|
||||
// This handles the standard case for a SELECT query that successfully
|
||||
return "The query returned 0 rows.", nil
|
||||
return source.RunSQL(ctx, bqClient, sql, "SELECT", nil, connProps)
|
||||
}
|
||||
|
||||
func (t Tool) ParseParams(data map[string]any, claims map[string]map[string]any) (parameters.ParamValues, error) {
|
||||
|
||||
@@ -21,10 +21,10 @@ import (
|
||||
bigqueryapi "cloud.google.com/go/bigquery"
|
||||
yaml "github.com/goccy/go-yaml"
|
||||
"github.com/googleapis/genai-toolbox/internal/sources"
|
||||
bigqueryds "github.com/googleapis/genai-toolbox/internal/sources/bigquery"
|
||||
"github.com/googleapis/genai-toolbox/internal/tools"
|
||||
bqutil "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerycommon"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
bigqueryrestapi "google.golang.org/api/bigquery/v2"
|
||||
)
|
||||
|
||||
const kind string = "bigquery-get-dataset-info"
|
||||
@@ -47,11 +47,10 @@ func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.T
|
||||
|
||||
type compatibleSource interface {
|
||||
BigQueryProject() string
|
||||
BigQueryClient() *bigqueryapi.Client
|
||||
BigQueryClientCreator() bigqueryds.BigqueryClientCreator
|
||||
UseClientAuthorization() bool
|
||||
IsDatasetAllowed(projectID, datasetID string) bool
|
||||
BigQueryAllowedDatasets() []string
|
||||
RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
|
||||
}
|
||||
|
||||
type Config struct {
|
||||
@@ -138,18 +137,9 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
return nil, fmt.Errorf("invalid or missing '%s' parameter; expected a string", datasetKey)
|
||||
}
|
||||
|
||||
bqClient := source.BigQueryClient()
|
||||
|
||||
// Initialize new client if using user OAuth token
|
||||
if source.UseClientAuthorization() {
|
||||
tokenStr, err := accessToken.ParseBearerToken()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error parsing access token: %w", err)
|
||||
}
|
||||
bqClient, _, err = source.BigQueryClientCreator()(tokenStr, false)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
|
||||
}
|
||||
bqClient, _, err := source.RetrieveClientAndService(accessToken)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if !source.IsDatasetAllowed(projectId, datasetId) {
|
||||
|
||||
@@ -21,10 +21,10 @@ import (
|
||||
bigqueryapi "cloud.google.com/go/bigquery"
|
||||
yaml "github.com/goccy/go-yaml"
|
||||
"github.com/googleapis/genai-toolbox/internal/sources"
|
||||
bigqueryds "github.com/googleapis/genai-toolbox/internal/sources/bigquery"
|
||||
"github.com/googleapis/genai-toolbox/internal/tools"
|
||||
bqutil "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerycommon"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
bigqueryrestapi "google.golang.org/api/bigquery/v2"
|
||||
)
|
||||
|
||||
const kind string = "bigquery-get-table-info"
|
||||
@@ -48,11 +48,10 @@ func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.T
|
||||
|
||||
type compatibleSource interface {
|
||||
BigQueryProject() string
|
||||
BigQueryClient() *bigqueryapi.Client
|
||||
BigQueryClientCreator() bigqueryds.BigqueryClientCreator
|
||||
UseClientAuthorization() bool
|
||||
IsDatasetAllowed(projectID, datasetID string) bool
|
||||
BigQueryAllowedDatasets() []string
|
||||
RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
|
||||
}
|
||||
|
||||
type Config struct {
|
||||
@@ -151,18 +150,9 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
return nil, fmt.Errorf("access denied to dataset '%s' because it is not in the configured list of allowed datasets for project '%s'", datasetId, projectId)
|
||||
}
|
||||
|
||||
bqClient := source.BigQueryClient()
|
||||
|
||||
// Initialize new client if using user OAuth token
|
||||
if source.UseClientAuthorization() {
|
||||
tokenStr, err := accessToken.ParseBearerToken()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error parsing access token: %w", err)
|
||||
}
|
||||
bqClient, _, err = source.BigQueryClientCreator()(tokenStr, false)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
|
||||
}
|
||||
bqClient, _, err := source.RetrieveClientAndService(accessToken)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
dsHandle := bqClient.DatasetInProject(projectId, datasetId)
|
||||
|
||||
@@ -21,9 +21,9 @@ import (
|
||||
bigqueryapi "cloud.google.com/go/bigquery"
|
||||
yaml "github.com/goccy/go-yaml"
|
||||
"github.com/googleapis/genai-toolbox/internal/sources"
|
||||
bigqueryds "github.com/googleapis/genai-toolbox/internal/sources/bigquery"
|
||||
"github.com/googleapis/genai-toolbox/internal/tools"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
bigqueryrestapi "google.golang.org/api/bigquery/v2"
|
||||
"google.golang.org/api/iterator"
|
||||
)
|
||||
|
||||
@@ -46,10 +46,9 @@ func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.T
|
||||
|
||||
type compatibleSource interface {
|
||||
BigQueryProject() string
|
||||
BigQueryClient() *bigqueryapi.Client
|
||||
BigQueryClientCreator() bigqueryds.BigqueryClientCreator
|
||||
UseClientAuthorization() bool
|
||||
BigQueryAllowedDatasets() []string
|
||||
RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
|
||||
}
|
||||
|
||||
type Config struct {
|
||||
@@ -135,17 +134,9 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
return nil, fmt.Errorf("invalid or missing '%s' parameter; expected a string", projectKey)
|
||||
}
|
||||
|
||||
bqClient := source.BigQueryClient()
|
||||
// Initialize new client if using user OAuth token
|
||||
if source.UseClientAuthorization() {
|
||||
tokenStr, err := accessToken.ParseBearerToken()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error parsing access token: %w", err)
|
||||
}
|
||||
bqClient, _, err = source.BigQueryClientCreator()(tokenStr, false)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
|
||||
}
|
||||
bqClient, _, err := source.RetrieveClientAndService(accessToken)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
datasetIterator := bqClient.Datasets(ctx)
|
||||
datasetIterator.ProjectID = projectId
|
||||
|
||||
@@ -21,10 +21,10 @@ import (
|
||||
bigqueryapi "cloud.google.com/go/bigquery"
|
||||
yaml "github.com/goccy/go-yaml"
|
||||
"github.com/googleapis/genai-toolbox/internal/sources"
|
||||
bigqueryds "github.com/googleapis/genai-toolbox/internal/sources/bigquery"
|
||||
"github.com/googleapis/genai-toolbox/internal/tools"
|
||||
bqutil "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerycommon"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
bigqueryrestapi "google.golang.org/api/bigquery/v2"
|
||||
"google.golang.org/api/iterator"
|
||||
)
|
||||
|
||||
@@ -47,12 +47,11 @@ func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.T
|
||||
}
|
||||
|
||||
type compatibleSource interface {
|
||||
BigQueryClient() *bigqueryapi.Client
|
||||
BigQueryClientCreator() bigqueryds.BigqueryClientCreator
|
||||
BigQueryProject() string
|
||||
UseClientAuthorization() bool
|
||||
IsDatasetAllowed(projectID, datasetID string) bool
|
||||
BigQueryAllowedDatasets() []string
|
||||
RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
|
||||
}
|
||||
|
||||
type Config struct {
|
||||
@@ -145,17 +144,9 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
return nil, fmt.Errorf("access denied to dataset '%s' because it is not in the configured list of allowed datasets for project '%s'", datasetId, projectId)
|
||||
}
|
||||
|
||||
bqClient := source.BigQueryClient()
|
||||
// Initialize new client if using user OAuth token
|
||||
if source.UseClientAuthorization() {
|
||||
tokenStr, err := accessToken.ParseBearerToken()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error parsing access token: %w", err)
|
||||
}
|
||||
bqClient, _, err = source.BigQueryClientCreator()(tokenStr, false)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
|
||||
}
|
||||
bqClient, _, err := source.RetrieveClientAndService(accessToken)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
dsHandle := bqClient.DatasetInProject(projectId, datasetId)
|
||||
|
||||
@@ -23,13 +23,11 @@ import (
|
||||
bigqueryapi "cloud.google.com/go/bigquery"
|
||||
yaml "github.com/goccy/go-yaml"
|
||||
"github.com/googleapis/genai-toolbox/internal/sources"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
|
||||
bigqueryds "github.com/googleapis/genai-toolbox/internal/sources/bigquery"
|
||||
"github.com/googleapis/genai-toolbox/internal/tools"
|
||||
bqutil "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerycommon"
|
||||
"github.com/googleapis/genai-toolbox/internal/util/parameters"
|
||||
bigqueryrestapi "google.golang.org/api/bigquery/v2"
|
||||
"google.golang.org/api/iterator"
|
||||
)
|
||||
|
||||
const kind string = "bigquery-sql"
|
||||
@@ -49,12 +47,10 @@ func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.T
|
||||
}
|
||||
|
||||
type compatibleSource interface {
|
||||
BigQueryClient() *bigqueryapi.Client
|
||||
BigQuerySession() bigqueryds.BigQuerySessionProvider
|
||||
BigQueryWriteMode() string
|
||||
BigQueryRestService() *bigqueryrestapi.Service
|
||||
BigQueryClientCreator() bigqueryds.BigqueryClientCreator
|
||||
UseClientAuthorization() bool
|
||||
RetrieveClientAndService(tools.AccessToken) (*bigqueryapi.Client, *bigqueryrestapi.Service, error)
|
||||
RunSQL(context.Context, *bigqueryapi.Client, string, string, []bigqueryapi.QueryParameter, []*bigqueryapi.ConnectionProperty) (any, error)
|
||||
}
|
||||
|
||||
type Config struct {
|
||||
@@ -189,25 +185,6 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
lowLevelParams = append(lowLevelParams, lowLevelParam)
|
||||
}
|
||||
|
||||
bqClient := source.BigQueryClient()
|
||||
restService := source.BigQueryRestService()
|
||||
|
||||
// Initialize new client if using user OAuth token
|
||||
if source.UseClientAuthorization() {
|
||||
tokenStr, err := accessToken.ParseBearerToken()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error parsing access token: %w", err)
|
||||
}
|
||||
bqClient, restService, err = source.BigQueryClientCreator()(tokenStr, true)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("error creating client from OAuth access token: %w", err)
|
||||
}
|
||||
}
|
||||
|
||||
query := bqClient.Query(newStatement)
|
||||
query.Parameters = highLevelParams
|
||||
query.Location = bqClient.Location
|
||||
|
||||
connProps := []*bigqueryapi.ConnectionProperty{}
|
||||
if source.BigQuerySession() != nil {
|
||||
session, err := source.BigQuerySession()(ctx)
|
||||
@@ -219,57 +196,20 @@ func (t Tool) Invoke(ctx context.Context, resourceMgr tools.SourceProvider, para
|
||||
connProps = append(connProps, &bigqueryapi.ConnectionProperty{Key: "session_id", Value: session.ID})
|
||||
}
|
||||
}
|
||||
query.ConnectionProperties = connProps
|
||||
dryRunJob, err := bqutil.DryRunQuery(ctx, restService, bqClient.Project(), query.Location, newStatement, lowLevelParams, connProps)
|
||||
|
||||
bqClient, restService, err := source.RetrieveClientAndService(accessToken)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
dryRunJob, err := bqutil.DryRunQuery(ctx, restService, bqClient.Project(), bqClient.Location, newStatement, lowLevelParams, connProps)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("query validation failed: %w", err)
|
||||
}
|
||||
|
||||
statementType := dryRunJob.Statistics.Query.StatementType
|
||||
|
||||
// This block handles SELECT statements, which return a row set.
|
||||
// We iterate through the results, convert each row into a map of
|
||||
// column names to values, and return the collection of rows.
|
||||
job, err := query.Run(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to execute query: %w", err)
|
||||
}
|
||||
it, err := job.Read(ctx)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to read query results: %w", err)
|
||||
}
|
||||
|
||||
var out []any
|
||||
for {
|
||||
var row map[string]bigqueryapi.Value
|
||||
err = it.Next(&row)
|
||||
if err == iterator.Done {
|
||||
break
|
||||
}
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("unable to iterate through query results: %w", err)
|
||||
}
|
||||
vMap := make(map[string]any)
|
||||
for key, value := range row {
|
||||
vMap[key] = bqutil.NormalizeValue(value)
|
||||
}
|
||||
out = append(out, vMap)
|
||||
}
|
||||
// If the query returned any rows, return them directly.
|
||||
if len(out) > 0 {
|
||||
return out, nil
|
||||
}
|
||||
|
||||
// This handles the standard case for a SELECT query that successfully
|
||||
// executes but returns zero rows.
|
||||
if statementType == "SELECT" {
|
||||
return "The query returned 0 rows.", nil
|
||||
}
|
||||
// This is the fallback for a successful query that doesn't return content.
|
||||
// In most cases, this will be for DML/DDL statements like INSERT, UPDATE, CREATE, etc.
|
||||
// However, it is also possible that this was a query that was expected to return rows
|
||||
// but returned none, a case that we cannot distinguish here.
|
||||
return "Query executed successfully and returned no content.", nil
|
||||
return source.RunSQL(ctx, bqClient, newStatement, statementType, highLevelParams, connProps)
|
||||
}
|
||||
|
||||
func (t Tool) ParseParams(data map[string]any, claims map[string]map[string]any) (parameters.ParamValues, error) {
|
||||
|
||||
@@ -1701,7 +1701,7 @@ func runBigQueryDataTypeTests(t *testing.T) {
|
||||
api: "http://127.0.0.1:5000/api/tool/my-scalar-datatype-tool/invoke",
|
||||
requestHeader: map[string]string{},
|
||||
requestBody: bytes.NewBuffer([]byte(`{"int_val": 123, "string_val": "hello", "float_val": 3.14, "bool_val": true}`)),
|
||||
want: `[{"bool_val":true,"float_val":3.14,"id":1,"int_val":123,"string_val":"hello"}]`,
|
||||
want: `[{"id":1,"int_val":123,"string_val":"hello","float_val":3.14,"bool_val":true}]`,
|
||||
isErr: false,
|
||||
},
|
||||
{
|
||||
@@ -1716,7 +1716,7 @@ func runBigQueryDataTypeTests(t *testing.T) {
|
||||
api: "http://127.0.0.1:5000/api/tool/my-array-datatype-tool/invoke",
|
||||
requestHeader: map[string]string{},
|
||||
requestBody: bytes.NewBuffer([]byte(`{"int_array": [123, 789], "string_array": ["hello", "test"], "float_array": [3.14, 100.1], "bool_array": [true]}`)),
|
||||
want: `[{"bool_val":true,"float_val":3.14,"id":1,"int_val":123,"string_val":"hello"},{"bool_val":true,"float_val":100.1,"id":3,"int_val":789,"string_val":"test"}]`,
|
||||
want: `[{"id":1,"int_val":123,"string_val":"hello","float_val":3.14,"bool_val":true},{"id":3,"int_val":789,"string_val":"test","float_val":100.1,"bool_val":true}]`,
|
||||
isErr: false,
|
||||
},
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user