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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| package app | ||
|
|
||
| import ( | ||
| "context" | ||
| "fmt" | ||
| "github.com/initialcapacity/ai-starter/internal/analyzer" | ||
| "github.com/initialcapacity/ai-starter/pkg/ai" | ||
| "log/slog" | ||
| ) | ||
|
|
||
| type QueryService struct { | ||
| embeddingsGateway *analyzer.EmbeddingsGateway | ||
| aiClient aiClient | ||
| } | ||
|
|
||
| func NewQueryService(embeddingsGateway *analyzer.EmbeddingsGateway, aiClient aiClient) *QueryService { | ||
| return &QueryService{embeddingsGateway: embeddingsGateway, aiClient: aiClient} | ||
| } | ||
|
|
||
| func (q *QueryService) FetchResponse(ctx context.Context, query string) (QueryResult, error) { | ||
| embedding, err := q.aiClient.CreateEmbedding(ctx, query) | ||
| if err != nil { | ||
| slog.Error("unable to create embedding", err) | ||
| return QueryResult{}, err | ||
| } | ||
|
|
||
| record, err := q.embeddingsGateway.FindSimilar(embedding) | ||
| if err != nil { | ||
| slog.Error("unable to find similar embedding", err) | ||
| return QueryResult{}, err | ||
| } | ||
|
|
||
| response, err := q.aiClient.GetChatCompletion(ctx, []ai.ChatMessage{ | ||
| {Role: ai.System, Content: "You are a reporter for a major world newspaper."}, | ||
| {Role: ai.System, Content: "Write your response as if you were writing a short, high-quality news article for your paper. Limit your response to one paragraph."}, | ||
| {Role: ai.System, Content: fmt.Sprintf("Use the following article for context: %s", record.Content)}, | ||
| {Role: ai.User, Content: query}, | ||
| }) | ||
| if err != nil { | ||
| slog.Error("unable fetch chat completion", err) | ||
| return QueryResult{}, err | ||
| } | ||
|
|
||
| return QueryResult{ | ||
| Source: record.Source, | ||
| Response: response, | ||
| }, nil | ||
| } | ||
|
|
||
| type QueryResult struct { | ||
| Response chan string | ||
| Source string | ||
| } | ||
|
|
||
| type aiClient interface { | ||
| GetChatCompletion(ctx context.Context, messages []ai.ChatMessage) (chan string, error) | ||
| CreateEmbedding(ctx context.Context, text string) ([]float32, error) | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,92 @@ | ||
| package app_test | ||
|
|
||
| import ( | ||
| "context" | ||
| "errors" | ||
| "github.com/initialcapacity/ai-starter/internal/analyzer" | ||
| "github.com/initialcapacity/ai-starter/internal/app" | ||
| "github.com/initialcapacity/ai-starter/pkg/ai" | ||
| "github.com/initialcapacity/ai-starter/pkg/testsupport" | ||
| "github.com/pgvector/pgvector-go" | ||
| "github.com/stretchr/testify/assert" | ||
| "testing" | ||
| ) | ||
|
|
||
| func TestQueryService_FetchResponse(t *testing.T) { | ||
| testDb := testsupport.NewTestDb(t) | ||
| defer testDb.Close() | ||
| insertData(testDb) | ||
|
|
||
| service := app.NewQueryService(analyzer.NewEmbeddingsGateway(testDb.DB), fakeAi{}) | ||
|
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| result, err := service.FetchResponse(context.Background(), "Does this sound good?") | ||
| assert.NoError(t, err) | ||
| message := <-result.Response | ||
|
|
||
| assert.Equal(t, "https://example.com", result.Source) | ||
| assert.Equal(t, "Sounds good", message) | ||
| } | ||
|
|
||
| func TestQueryService_FetchResponse_EmbeddingError(t *testing.T) { | ||
| testDb := testsupport.NewTestDb(t) | ||
| defer testDb.Close() | ||
| insertData(testDb) | ||
| service := app.NewQueryService(analyzer.NewEmbeddingsGateway(testDb.DB), fakeAi{embeddingError: errors.New("bad news")}) | ||
|
|
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| _, err := service.FetchResponse(context.Background(), "Does this sound good?") | ||
|
|
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| assert.EqualError(t, err, "bad news") | ||
| } | ||
|
|
||
| func TestQueryService_FetchResponse_NoEmbeddings(t *testing.T) { | ||
| testDb := testsupport.NewTestDb(t) | ||
| defer testDb.Close() | ||
| service := app.NewQueryService(analyzer.NewEmbeddingsGateway(testDb.DB), fakeAi{}) | ||
|
|
||
| _, err := service.FetchResponse(context.Background(), "Does this sound good?") | ||
|
|
||
| assert.EqualError(t, err, "sql: no rows in result set") | ||
| } | ||
|
|
||
| func TestQueryService_FetchResponse_CompletionError(t *testing.T) { | ||
| testDb := testsupport.NewTestDb(t) | ||
| defer testDb.Close() | ||
| insertData(testDb) | ||
| service := app.NewQueryService(analyzer.NewEmbeddingsGateway(testDb.DB), fakeAi{completionError: errors.New("bad news")}) | ||
|
|
||
| _, err := service.FetchResponse(context.Background(), "Does this sound good?") | ||
|
|
||
| assert.EqualError(t, err, "bad news") | ||
| } | ||
|
|
||
| func insertData(testDb *testsupport.TestDb) { | ||
| testDb.Execute("insert into data (id, source, content) values ('aaaaaaaa-2f3f-4bc9-8dba-ba397156cc16', 'https://example.com', 'some content')") | ||
| testDb.Execute("insert into chunks (id, data_id, content) values ('bbbbbbbb-2f3f-4bc9-8dba-ba397156cc16', 'aaaaaaaa-2f3f-4bc9-8dba-ba397156cc16','a chunk')") | ||
| testDb.Execute("insert into embeddings (chunk_id, embedding) values ('bbbbbbbb-2f3f-4bc9-8dba-ba397156cc16', $1)", pgvector.NewVector(testsupport.CreateVector(0))) | ||
|
|
||
| } | ||
|
|
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| type fakeAi struct { | ||
| embeddingError error | ||
| completionError error | ||
| } | ||
|
|
||
| func (f fakeAi) GetChatCompletion(_ context.Context, _ []ai.ChatMessage) (chan string, error) { | ||
| if f.embeddingError != nil { | ||
| return nil, f.embeddingError | ||
| } | ||
|
|
||
| response := make(chan string) | ||
| go func() { | ||
| response <- "Sounds good" | ||
| }() | ||
| return response, nil | ||
| } | ||
|
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| func (f fakeAi) CreateEmbedding(_ context.Context, _ string) ([]float32, error) { | ||
| if f.completionError != nil { | ||
| return nil, f.completionError | ||
| } | ||
|
|
||
| return testsupport.CreateVector(0), nil | ||
| } |