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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,95 +1,163 @@ | ||
| package openai | ||
|
|
||
| //var EmbeddingsCmd = &cobra.Command{ | ||
| // Use: "embeddings", | ||
| // Short: "Compute embeddings for a series of files", | ||
| // Args: cobra.MinimumNArgs(1), | ||
| // Run: func(cmd *cobra.Command, args []string) { | ||
| // user, _ := cmd.PersistentFlags().GetString("user") | ||
| // | ||
| // prompts := []string{} | ||
| // | ||
| // for _, file := range args { | ||
| // | ||
| // if file == "-" { | ||
| // file = "/dev/stdin" | ||
| // } | ||
| // | ||
| // f, err := os.ReadFile(file) | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // prompts = append(prompts, string(f)) | ||
| // } | ||
| // | ||
| // // TODO(manuel, 2023-01-28) actually I don't think it's a good idea to go through the stepfactory here | ||
| // // we just want to have the RAW api access with all its outputs | ||
| // | ||
| // clientSettings, err := openai.NewClientSettingsFromCobra(cmd) | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // err = completionStepFactory.UpdateFromParameters(cmd) | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // client, err := clientSettings.CreateClient() | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // engine, _ := cmd.Flags().GetString("engine") | ||
| // | ||
| // ctx := context.Background() | ||
| // resp, err := client.Embeddings(ctx, gpt3.EmbeddingsRequest{ | ||
| // Input: prompts, | ||
| // Model: engine, | ||
| // User: user, | ||
| // }) | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // printUsage, _ := cmd.Flags().GetBool("print-usage") | ||
| // usage := resp.Usage | ||
| // evt := log.Debug() | ||
| // if printUsage { | ||
| // evt = log.Info() | ||
| // } | ||
| // evt. | ||
| // Int("prompt-tokens", usage.PromptTokens). | ||
| // Int("total-tokens", usage.TotalTokens). | ||
| // Msg("Usage") | ||
| // | ||
| // gp, of, err := cli.SetupProcessor(cmd) | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // printRawResponse, _ := cmd.Flags().GetBool("print-raw-response") | ||
| // | ||
| // if printRawResponse { | ||
| // // serialize resp to json | ||
| // rawResponse, err := json.MarshalIndent(resp, "", " ") | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // // deserialize to map[string]interface{} | ||
| // var rawResponseMap map[string]interface{} | ||
| // err = json.Unmarshal(rawResponse, &rawResponseMap) | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // err = gp.ProcessInputObject(rawResponseMap) | ||
| // cobra.CheckErr(err) | ||
| // | ||
| // } else { | ||
| // for _, embedding := range resp.Data { | ||
| // row := map[string]interface{}{ | ||
| // "object": embedding.Object, | ||
| // "embedding": embedding.Embedding, | ||
| // "index": embedding.Index, | ||
| // } | ||
| // err = gp.ProcessInputObject(row) | ||
| // cobra.CheckErr(err) | ||
| // } | ||
| // } | ||
| // | ||
| // s, err := of.Output() | ||
| // if err != nil { | ||
| // _, _ = fmt.Fprintf(os.Stderr, "Error rendering output: %s\n", err) | ||
| // os.Exit(1) | ||
| // } | ||
| // fmt.Print(s) | ||
| // cobra.CheckErr(err) | ||
| // }, | ||
| //} | ||
| import ( | ||
| "context" | ||
| "encoding/json" | ||
| "github.com/PullRequestInc/go-gpt3" | ||
| "github.com/go-go-golems/geppetto/pkg/steps/openai" | ||
| "github.com/go-go-golems/glazed/pkg/cli" | ||
| "github.com/go-go-golems/glazed/pkg/cmds" | ||
| "github.com/go-go-golems/glazed/pkg/cmds/layers" | ||
| "github.com/go-go-golems/glazed/pkg/cmds/parameters" | ||
| "github.com/rs/zerolog/log" | ||
| "github.com/spf13/cobra" | ||
| "os" | ||
| ) | ||
|
|
||
| type EmbeddingsCommand struct { | ||
| description *cmds.CommandDescription | ||
| } | ||
|
|
||
| func NewEmbeddingsCommand() (*EmbeddingsCommand, error) { | ||
| glazedParameterLayer, err := cli.NewGlazedParameterLayers( | ||
| cli.WithOutputParameterLayerOptions( | ||
| layers.WithDefaults(map[string]interface{}{ | ||
| "output": "json", | ||
| }, | ||
| ), | ||
| ), | ||
| ) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
| openaiParameterLayer, err := openai.NewClientParameterLayer() | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
| completionParameterLayer, err := openai.NewCompletionParameterLayer() | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
|
|
||
| return &EmbeddingsCommand{ | ||
| description: cmds.NewCommandDescription( | ||
| "embeddings", | ||
| cmds.WithShort("send a prompt to the embeddings API"), | ||
| cmds.WithFlags( | ||
| parameters.NewParameterDefinition( | ||
| "print-usage", | ||
| parameters.ParameterTypeBool, | ||
| parameters.WithHelp("print usage"), | ||
| parameters.WithDefault(false), | ||
| ), | ||
| parameters.NewParameterDefinition( | ||
| "print-raw-response", | ||
| parameters.ParameterTypeBool, | ||
| parameters.WithHelp("print raw response as object"), | ||
| parameters.WithDefault(false), | ||
| ), | ||
| parameters.NewParameterDefinition( | ||
| "model", | ||
| parameters.ParameterTypeString, | ||
| parameters.WithHelp("model to use"), | ||
| parameters.WithDefault("text-embedding-ada-002"), | ||
| ), | ||
| ), | ||
| cmds.WithArguments( | ||
| parameters.NewParameterDefinition( | ||
| "input-files", | ||
| parameters.ParameterTypeStringList, | ||
| parameters.WithRequired(true), | ||
| ), | ||
| ), | ||
| cmds.WithLayers( | ||
| glazedParameterLayer, | ||
| completionParameterLayer, | ||
| openaiParameterLayer, | ||
| ), | ||
| ), | ||
| }, nil | ||
|
|
||
| } | ||
|
|
||
| func (c *EmbeddingsCommand) Description() *cmds.CommandDescription { | ||
| return c.description | ||
| } | ||
|
|
||
| func (c *EmbeddingsCommand) Run( | ||
| ctx context.Context, | ||
| parsedLayers map[string]*layers.ParsedParameterLayer, | ||
| ps map[string]interface{}, | ||
| gp *cmds.GlazeProcessor, | ||
| ) error { | ||
| user, _ := ps["user"].(string) | ||
|
|
||
| inputFiles, _ := ps["input-files"].([]string) | ||
| prompts := []string{} | ||
|
|
||
| for _, file := range inputFiles { | ||
|
|
||
| if file == "-" { | ||
| file = "/dev/stdin" | ||
| } | ||
|
|
||
| f, err := os.ReadFile(file) | ||
| cobra.CheckErr(err) | ||
|
|
||
| prompts = append(prompts, string(f)) | ||
| } | ||
|
|
||
| clientSettings, err := openai.NewClientSettingsFromParameters(ps) | ||
| cobra.CheckErr(err) | ||
|
|
||
| client, err := clientSettings.CreateClient() | ||
| cobra.CheckErr(err) | ||
|
|
||
| engine, _ := ps["model"].(string) | ||
|
|
||
| resp, err := client.Embeddings(ctx, gpt3.EmbeddingsRequest{ | ||
| Input: prompts, | ||
| Model: engine, | ||
| User: user, | ||
| }) | ||
| cobra.CheckErr(err) | ||
|
|
||
| printUsage, _ := ps["print-usage"].(bool) | ||
| printRawResponse, _ := ps["print-raw-response"].(bool) | ||
|
|
||
| usage := resp.Usage | ||
| evt := log.Debug() | ||
| if printUsage { | ||
| evt = log.Info() | ||
| } | ||
| evt. | ||
| Int("prompt-tokens", usage.PromptTokens). | ||
| Int("total-tokens", usage.TotalTokens). | ||
| Msg("Usage") | ||
|
|
||
| if printRawResponse { | ||
| // serialize resp to json | ||
| rawResponse, err := json.MarshalIndent(resp, "", " ") | ||
| cobra.CheckErr(err) | ||
|
|
||
| // deserialize to map[string]interface{} | ||
| var rawResponseMap map[string]interface{} | ||
| err = json.Unmarshal(rawResponse, &rawResponseMap) | ||
| cobra.CheckErr(err) | ||
|
|
||
| err = gp.ProcessInputObject(rawResponseMap) | ||
| cobra.CheckErr(err) | ||
| } else { | ||
| for _, embedding := range resp.Data { | ||
| row := map[string]interface{}{ | ||
| "object": embedding.Object, | ||
| "embedding": embedding.Embedding, | ||
| "index": embedding.Index, | ||
| } | ||
| err = gp.ProcessInputObject(row) | ||
| cobra.CheckErr(err) | ||
| } | ||
| } | ||
|
|
||
| return nil | ||
| } |
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