mirror of
https://github.com/mudler/LocalAI.git
synced 2026-04-02 06:04:09 -04:00
* feat: add distributed mode (experimental) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix data races, mutexes, transactions Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactorings Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix events and tool stream in agent chat Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * use ginkgo Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(cron): compute correctly time boundaries avoiding re-triggering Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * enhancements, refactorings Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * do not flood of healthy checks Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * do not list obvious backends as text backends Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * tests fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactoring and consolidation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Drop redundant healthcheck Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * enhancements, refactorings Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
521 lines
16 KiB
Go
521 lines
16 KiB
Go
package main
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import (
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"context"
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"encoding/binary"
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"encoding/json"
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"flag"
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"fmt"
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"log"
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"math"
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"net"
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"os"
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"path/filepath"
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"strconv"
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"strings"
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pb "github.com/mudler/LocalAI/pkg/grpc/proto"
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"github.com/mudler/xlog"
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"google.golang.org/grpc"
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)
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var (
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addr = flag.String("addr", "localhost:50051", "the address to connect to")
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)
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// MockBackend implements the Backend gRPC service with mocked responses.
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// When tools are present but the prompt already contains MCP tool results
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// (indicated by the marker from the mock MCP server), it returns a plain
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// text response instead of another tool call, letting the MCP loop complete.
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type MockBackend struct {
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pb.UnimplementedBackendServer
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}
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// promptHasToolResults checks if the prompt contains evidence of prior tool
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// execution — specifically the output from the mock MCP server's get_weather tool.
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func promptHasToolResults(prompt string) bool {
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return strings.Contains(prompt, "Weather in")
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}
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func (m *MockBackend) Health(ctx context.Context, in *pb.HealthMessage) (*pb.Reply, error) {
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xlog.Debug("Health check called")
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return &pb.Reply{Message: []byte("OK")}, nil
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}
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func (m *MockBackend) LoadModel(ctx context.Context, in *pb.ModelOptions) (*pb.Result, error) {
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xlog.Debug("LoadModel called", "model", in.Model)
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return &pb.Result{
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Message: "Model loaded successfully (mocked)",
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Success: true,
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}, nil
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}
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func (m *MockBackend) Predict(ctx context.Context, in *pb.PredictOptions) (*pb.Reply, error) {
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xlog.Debug("Predict called", "prompt", in.Prompt)
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if strings.Contains(in.Prompt, "MOCK_ERROR") {
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return nil, fmt.Errorf("mock backend predict error: simulated failure")
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}
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var response string
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toolName := mockToolNameFromRequest(in)
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if toolName != "" && !promptHasToolResults(in.Prompt) {
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// First call with tools: return a tool call so the MCP loop executes it.
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response = fmt.Sprintf(`{"name": "%s", "arguments": {"location": "San Francisco"}}`, toolName)
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} else if toolName != "" {
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// Subsequent call: tool results already in prompt, return final text.
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response = "Based on the tool results, the weather in San Francisco is sunny, 72°F."
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} else {
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response = "This is a mocked response."
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}
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return &pb.Reply{
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Message: []byte(response),
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Tokens: 10,
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PromptTokens: 5,
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TimingPromptProcessing: 0.1,
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TimingTokenGeneration: 0.2,
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}, nil
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}
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func (m *MockBackend) PredictStream(in *pb.PredictOptions, stream pb.Backend_PredictStreamServer) error {
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xlog.Debug("PredictStream called", "prompt", in.Prompt)
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if strings.Contains(in.Prompt, "MOCK_ERROR_IMMEDIATE") {
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return fmt.Errorf("mock backend stream error: simulated failure")
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}
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if strings.Contains(in.Prompt, "MOCK_ERROR_MIDSTREAM") {
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for _, r := range "Partial resp" {
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if err := stream.Send(&pb.Reply{Message: []byte(string(r))}); err != nil {
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return err
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}
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}
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return fmt.Errorf("mock backend stream error: simulated mid-stream failure")
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}
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var toStream string
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toolName := mockToolNameFromRequest(in)
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if toolName != "" && !promptHasToolResults(in.Prompt) {
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toStream = fmt.Sprintf(`{"name": "%s", "arguments": {"location": "San Francisco"}}`, toolName)
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} else if toolName != "" {
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toStream = "Based on the tool results, the weather in San Francisco is sunny, 72°F."
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} else {
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toStream = "This is a mocked streaming response."
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}
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for i, r := range toStream {
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if err := stream.Send(&pb.Reply{
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Message: []byte(string(r)),
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Tokens: int32(i + 1),
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}); err != nil {
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return err
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}
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}
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return nil
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}
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// mockToolNameFromRequest returns the first tool name from the request's Tools JSON (same as other endpoints).
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func mockToolNameFromRequest(in *pb.PredictOptions) string {
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if in.Tools == "" {
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return ""
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}
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var tools []struct {
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Function struct {
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Name string `json:"name"`
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} `json:"function"`
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}
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if err := json.Unmarshal([]byte(in.Tools), &tools); err != nil || len(tools) == 0 || tools[0].Function.Name == "" {
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return ""
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}
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return tools[0].Function.Name
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}
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func (m *MockBackend) Embedding(ctx context.Context, in *pb.PredictOptions) (*pb.EmbeddingResult, error) {
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xlog.Debug("Embedding called", "prompt", in.Prompt)
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// Return a mock embedding vector of 768 dimensions
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embeddings := make([]float32, 768)
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for i := range embeddings {
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embeddings[i] = float32(i%100) / 100.0 // Pattern: 0.0, 0.01, 0.02, ..., 0.99, 0.0, ...
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}
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return &pb.EmbeddingResult{Embeddings: embeddings}, nil
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}
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func (m *MockBackend) GenerateImage(ctx context.Context, in *pb.GenerateImageRequest) (*pb.Result, error) {
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xlog.Debug("GenerateImage called", "prompt", in.PositivePrompt)
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return &pb.Result{
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Message: "Image generated successfully (mocked)",
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Success: true,
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}, nil
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}
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func (m *MockBackend) GenerateVideo(ctx context.Context, in *pb.GenerateVideoRequest) (*pb.Result, error) {
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xlog.Debug("GenerateVideo called", "prompt", in.Prompt)
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return &pb.Result{
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Message: "Video generated successfully (mocked)",
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Success: true,
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}, nil
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}
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func (m *MockBackend) TTS(ctx context.Context, in *pb.TTSRequest) (*pb.Result, error) {
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xlog.Debug("TTS called", "text", in.Text)
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dst := in.GetDst()
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if dst != "" {
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if err := os.MkdirAll(filepath.Dir(dst), 0750); err != nil {
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return &pb.Result{Message: err.Error(), Success: false}, nil
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}
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if err := writeMinimalWAV(dst); err != nil {
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return &pb.Result{Message: err.Error(), Success: false}, nil
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}
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}
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return &pb.Result{
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Message: "TTS audio generated successfully (mocked)",
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Success: true,
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}, nil
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}
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func (m *MockBackend) TTSStream(in *pb.TTSRequest, stream pb.Backend_TTSStreamServer) error {
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xlog.Debug("TTSStream called", "text", in.Text)
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// Stream mock audio chunks (simplified - just send a few bytes)
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chunks := [][]byte{
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{0x52, 0x49, 0x46, 0x46}, // Mock WAV header start
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{0x57, 0x41, 0x56, 0x45}, // Mock WAV header
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{0x64, 0x61, 0x74, 0x61}, // Mock data chunk
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}
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for _, chunk := range chunks {
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if err := stream.Send(&pb.Reply{Audio: chunk}); err != nil {
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return err
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}
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}
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return nil
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}
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func (m *MockBackend) SoundGeneration(ctx context.Context, in *pb.SoundGenerationRequest) (*pb.Result, error) {
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xlog.Debug("SoundGeneration called",
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"text", in.Text,
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"caption", in.GetCaption(),
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"lyrics", in.GetLyrics(),
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"think", in.GetThink(),
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"bpm", in.GetBpm(),
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"keyscale", in.GetKeyscale(),
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"language", in.GetLanguage(),
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"timesignature", in.GetTimesignature(),
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"instrumental", in.GetInstrumental())
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dst := in.GetDst()
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if dst != "" {
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if err := os.MkdirAll(filepath.Dir(dst), 0750); err != nil {
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return &pb.Result{Message: err.Error(), Success: false}, nil
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}
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if err := writeMinimalWAV(dst); err != nil {
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return &pb.Result{Message: err.Error(), Success: false}, nil
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}
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}
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return &pb.Result{
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Message: "Sound generated successfully (mocked)",
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Success: true,
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}, nil
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}
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// ttsSampleRate returns the sample rate to use for TTS output, configurable
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// via the MOCK_TTS_SAMPLE_RATE environment variable (default 16000).
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func ttsSampleRate() int {
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if s := os.Getenv("MOCK_TTS_SAMPLE_RATE"); s != "" {
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if v, err := strconv.Atoi(s); err == nil && v > 0 {
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return v
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}
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}
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return 16000
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}
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// writeMinimalWAV writes a WAV file containing a 440Hz sine wave (0.5s)
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// so that tests can verify audio integrity end-to-end. The sample rate
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// is configurable via MOCK_TTS_SAMPLE_RATE to test rate mismatch bugs.
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func writeMinimalWAV(path string) error {
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sampleRate := ttsSampleRate()
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const numChannels = 1
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const bitsPerSample = 16
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const freq = 440.0
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const durationSec = 0.5
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numSamples := int(float64(sampleRate) * durationSec)
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dataSize := numSamples * numChannels * (bitsPerSample / 8)
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const headerLen = 44
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f, err := os.Create(path)
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if err != nil {
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return err
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}
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defer f.Close()
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// RIFF header
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_, _ = f.Write([]byte("RIFF"))
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_ = binary.Write(f, binary.LittleEndian, uint32(headerLen-8+dataSize))
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_, _ = f.Write([]byte("WAVE"))
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// fmt chunk
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_, _ = f.Write([]byte("fmt "))
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_ = binary.Write(f, binary.LittleEndian, uint32(16))
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_ = binary.Write(f, binary.LittleEndian, uint16(1))
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_ = binary.Write(f, binary.LittleEndian, uint16(numChannels))
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_ = binary.Write(f, binary.LittleEndian, uint32(sampleRate))
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_ = binary.Write(f, binary.LittleEndian, uint32(sampleRate*numChannels*(bitsPerSample/8)))
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_ = binary.Write(f, binary.LittleEndian, uint16(numChannels*(bitsPerSample/8)))
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_ = binary.Write(f, binary.LittleEndian, uint16(bitsPerSample))
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// data chunk — 440Hz sine wave
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_, _ = f.Write([]byte("data"))
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_ = binary.Write(f, binary.LittleEndian, uint32(dataSize))
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for i := range numSamples {
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t := float64(i) / float64(sampleRate)
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sample := int16(math.MaxInt16 / 2 * math.Sin(2*math.Pi*freq*t))
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_ = binary.Write(f, binary.LittleEndian, sample)
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}
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return nil
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}
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func (m *MockBackend) AudioTranscription(ctx context.Context, in *pb.TranscriptRequest) (*pb.TranscriptResult, error) {
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dst := in.GetDst()
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wavSR := 0
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dataLen := 0
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rms := 0.0
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if dst != "" {
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if data, err := os.ReadFile(dst); err == nil {
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if len(data) >= 44 {
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wavSR = int(binary.LittleEndian.Uint32(data[24:28]))
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dataLen = int(binary.LittleEndian.Uint32(data[40:44]))
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// Compute RMS of the PCM payload (16-bit LE samples)
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pcm := data[44:]
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var sumSq float64
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nSamples := len(pcm) / 2
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for i := range nSamples {
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s := int16(pcm[2*i]) | int16(pcm[2*i+1])<<8
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v := float64(s)
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sumSq += v * v
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}
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if nSamples > 0 {
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rms = math.Sqrt(sumSq / float64(nSamples))
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}
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}
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}
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}
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xlog.Debug("AudioTranscription called", "dst", dst, "wav_sample_rate", wavSR, "data_len", dataLen, "rms", rms)
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text := fmt.Sprintf("transcribed: rms=%.1f samples=%d sr=%d", rms, dataLen/2, wavSR)
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return &pb.TranscriptResult{
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Text: text,
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Segments: []*pb.TranscriptSegment{
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{
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Id: 0,
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Start: 0,
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End: 3000,
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Text: text,
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Tokens: []int32{1, 2, 3, 4, 5, 6},
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},
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},
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}, nil
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}
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func (m *MockBackend) TokenizeString(ctx context.Context, in *pb.PredictOptions) (*pb.TokenizationResponse, error) {
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xlog.Debug("TokenizeString called", "prompt", in.Prompt)
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// Return mock token IDs
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tokens := []int32{101, 2023, 2003, 1037, 3231, 1012}
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return &pb.TokenizationResponse{
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Length: int32(len(tokens)),
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Tokens: tokens,
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}, nil
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}
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func (m *MockBackend) Status(ctx context.Context, in *pb.HealthMessage) (*pb.StatusResponse, error) {
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xlog.Debug("Status called")
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return &pb.StatusResponse{
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State: pb.StatusResponse_READY,
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Memory: &pb.MemoryUsageData{
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Total: 1024 * 1024 * 100, // 100MB
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Breakdown: map[string]uint64{
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"mock": 1024 * 1024 * 50,
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},
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},
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}, nil
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}
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func (m *MockBackend) Detect(ctx context.Context, in *pb.DetectOptions) (*pb.DetectResponse, error) {
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xlog.Debug("Detect called", "src", in.Src)
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return &pb.DetectResponse{
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Detections: []*pb.Detection{
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{
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X: 10.0,
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Y: 20.0,
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Width: 100.0,
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Height: 200.0,
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Confidence: 0.95,
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ClassName: "mocked_object",
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},
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},
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}, nil
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}
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func (m *MockBackend) StoresSet(ctx context.Context, in *pb.StoresSetOptions) (*pb.Result, error) {
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xlog.Debug("StoresSet called", "keys", len(in.Keys))
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return &pb.Result{
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Message: "Keys set successfully (mocked)",
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Success: true,
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}, nil
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}
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func (m *MockBackend) StoresDelete(ctx context.Context, in *pb.StoresDeleteOptions) (*pb.Result, error) {
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xlog.Debug("StoresDelete called", "keys", len(in.Keys))
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return &pb.Result{
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Message: "Keys deleted successfully (mocked)",
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Success: true,
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}, nil
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}
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func (m *MockBackend) StoresGet(ctx context.Context, in *pb.StoresGetOptions) (*pb.StoresGetResult, error) {
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xlog.Debug("StoresGet called", "keys", len(in.Keys))
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// Return mock keys and values
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keys := make([]*pb.StoresKey, len(in.Keys))
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values := make([]*pb.StoresValue, len(in.Keys))
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for i := range in.Keys {
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keys[i] = in.Keys[i]
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values[i] = &pb.StoresValue{
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Bytes: []byte(fmt.Sprintf("mocked_value_%d", i)),
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}
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}
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return &pb.StoresGetResult{
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Keys: keys,
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Values: values,
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}, nil
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}
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func (m *MockBackend) StoresFind(ctx context.Context, in *pb.StoresFindOptions) (*pb.StoresFindResult, error) {
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xlog.Debug("StoresFind called", "topK", in.TopK)
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// Return mock similar keys
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keys := []*pb.StoresKey{
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{Floats: []float32{0.1, 0.2, 0.3}},
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{Floats: []float32{0.4, 0.5, 0.6}},
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}
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values := []*pb.StoresValue{
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{Bytes: []byte("mocked_value_1")},
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{Bytes: []byte("mocked_value_2")},
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}
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similarities := []float32{0.95, 0.85}
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return &pb.StoresFindResult{
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Keys: keys,
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Values: values,
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Similarities: similarities,
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}, nil
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}
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func (m *MockBackend) Rerank(ctx context.Context, in *pb.RerankRequest) (*pb.RerankResult, error) {
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xlog.Debug("Rerank called", "query", in.Query, "documents", len(in.Documents))
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// Return mock reranking results
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results := make([]*pb.DocumentResult, len(in.Documents))
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for i, doc := range in.Documents {
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results[i] = &pb.DocumentResult{
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Index: int32(i),
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Text: doc,
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RelevanceScore: 0.9 - float32(i)*0.1, // Decreasing scores
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}
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}
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return &pb.RerankResult{
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Usage: &pb.Usage{
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TotalTokens: int32(len(in.Documents) * 10),
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PromptTokens: int32(len(in.Documents) * 10),
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},
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Results: results,
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}, nil
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}
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func (m *MockBackend) GetMetrics(ctx context.Context, in *pb.MetricsRequest) (*pb.MetricsResponse, error) {
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xlog.Debug("GetMetrics called")
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return &pb.MetricsResponse{
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SlotId: 0,
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PromptJsonForSlot: `{"prompt":"mocked"}`,
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TokensPerSecond: 10.0,
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TokensGenerated: 100,
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PromptTokensProcessed: 50,
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}, nil
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}
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func (m *MockBackend) VAD(ctx context.Context, in *pb.VADRequest) (*pb.VADResponse, error) {
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// Compute RMS of the received float32 audio to decide whether speech is present.
|
|
var sumSq float64
|
|
for _, s := range in.Audio {
|
|
v := float64(s)
|
|
sumSq += v * v
|
|
}
|
|
rms := 0.0
|
|
if len(in.Audio) > 0 {
|
|
rms = math.Sqrt(sumSq / float64(len(in.Audio)))
|
|
}
|
|
xlog.Debug("VAD called", "audio_length", len(in.Audio), "rms", rms)
|
|
|
|
// If audio is near-silence, return no segments (no speech detected).
|
|
if rms < 0.001 {
|
|
return &pb.VADResponse{}, nil
|
|
}
|
|
|
|
// Audio has signal — return a single segment covering the duration.
|
|
duration := float64(len(in.Audio)) / 16000.0
|
|
return &pb.VADResponse{
|
|
Segments: []*pb.VADSegment{
|
|
{
|
|
Start: 0.0,
|
|
End: float32(duration),
|
|
},
|
|
},
|
|
}, nil
|
|
}
|
|
|
|
func (m *MockBackend) AudioEncode(ctx context.Context, in *pb.AudioEncodeRequest) (*pb.AudioEncodeResult, error) {
|
|
xlog.Debug("AudioEncode called", "pcm_len", len(in.PcmData), "sample_rate", in.SampleRate)
|
|
// Return a single mock Opus frame per 960-sample chunk (20ms at 48kHz).
|
|
numSamples := len(in.PcmData) / 2 // 16-bit samples
|
|
frameSize := 960
|
|
var frames [][]byte
|
|
for offset := 0; offset+frameSize <= numSamples; offset += frameSize {
|
|
// Minimal mock frame — just enough bytes to be non-empty.
|
|
frames = append(frames, []byte{0xFC, 0xFF, 0xFE})
|
|
}
|
|
return &pb.AudioEncodeResult{
|
|
Frames: frames,
|
|
SampleRate: 48000,
|
|
SamplesPerFrame: int32(frameSize),
|
|
}, nil
|
|
}
|
|
|
|
func (m *MockBackend) AudioDecode(ctx context.Context, in *pb.AudioDecodeRequest) (*pb.AudioDecodeResult, error) {
|
|
xlog.Debug("AudioDecode called", "frames", len(in.Frames))
|
|
// Return silent PCM (960 samples per frame at 48kHz, 16-bit LE).
|
|
samplesPerFrame := 960
|
|
totalSamples := len(in.Frames) * samplesPerFrame
|
|
pcm := make([]byte, totalSamples*2)
|
|
return &pb.AudioDecodeResult{
|
|
PcmData: pcm,
|
|
SampleRate: 48000,
|
|
SamplesPerFrame: int32(samplesPerFrame),
|
|
}, nil
|
|
}
|
|
|
|
func (m *MockBackend) ModelMetadata(ctx context.Context, in *pb.ModelOptions) (*pb.ModelMetadataResponse, error) {
|
|
xlog.Debug("ModelMetadata called", "model", in.Model)
|
|
return &pb.ModelMetadataResponse{
|
|
SupportsThinking: false,
|
|
RenderedTemplate: "",
|
|
}, nil
|
|
}
|
|
|
|
func main() {
|
|
xlog.SetLogger(xlog.NewLogger(xlog.LogLevel(os.Getenv("LOCALAI_LOG_LEVEL")), os.Getenv("LOCALAI_LOG_FORMAT")))
|
|
|
|
flag.Parse()
|
|
|
|
lis, err := net.Listen("tcp", *addr)
|
|
if err != nil {
|
|
log.Fatalf("failed to listen: %v", err)
|
|
}
|
|
|
|
s := grpc.NewServer(
|
|
grpc.MaxRecvMsgSize(50*1024*1024), // 50MB
|
|
grpc.MaxSendMsgSize(50*1024*1024), // 50MB
|
|
)
|
|
pb.RegisterBackendServer(s, &MockBackend{})
|
|
|
|
xlog.Info("Mock gRPC Server listening", "address", lis.Addr())
|
|
if err := s.Serve(lis); err != nil {
|
|
log.Fatalf("failed to serve: %v", err)
|
|
}
|
|
}
|