121 lines
2.2 KiB
V
121 lines
2.2 KiB
V
module openai
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import json
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import freeflowuniverse.herolib.core.httpconnection
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import os
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import net.http
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const jsonl_mime_type = 'text/jsonl'
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@[params]
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pub struct FileUploadArgs {
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pub:
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filepath string
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purpose FilePurpose
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}
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pub enum FilePurpose {
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assistants
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vision
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batch
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fine_tuning
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}
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pub struct File {
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pub mut:
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id string
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object string
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bytes int
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created_at int
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filename string
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purpose string
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}
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pub struct Files {
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pub mut:
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data []File
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}
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pub struct DeleteResp {
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pub mut:
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id string
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object string
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deleted bool
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}
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// upload file to client org, usually used for fine tuning
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pub fn (mut f OpenAI) upload_file(args FileUploadArgs) !File {
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file_content := os.read_file(args.filepath)!
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file_data := http.FileData{
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filename: os.base(args.filepath)
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data: file_content
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content_type: jsonl_mime_type
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}
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form := http.PostMultipartFormConfig{
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files: {
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'file': [file_data]
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}
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form: {
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'purpose': file_purpose_str(args.purpose)
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}
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}
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req := httpconnection.Request{
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prefix: 'files'
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}
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mut conn := f.connection()!
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r := conn.post_multi_part(req, form)!
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if r.status_code != 200 {
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return error('got error from server: ${r.body}')
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}
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return json.decode(File, r.body)!
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}
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// list all files in client org
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pub fn (mut f OpenAI) list_files() !Files {
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mut conn := f.connection()!
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r := conn.get(prefix: 'files')!
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return json.decode(Files, r)!
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}
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// deletes a file
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pub fn (mut f OpenAI) delete_file(file_id string) !DeleteResp {
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mut conn := f.connection()!
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r := conn.delete(prefix: 'files/' + file_id)!
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return json.decode(DeleteResp, r)!
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}
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// returns a single file metadata
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pub fn (mut f OpenAI) get_file(file_id string) !File {
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mut conn := f.connection()!
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r := conn.get(prefix: 'files/' + file_id)!
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return json.decode(File, r)!
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}
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// returns the content of a specific file
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pub fn (mut f OpenAI) get_file_content(file_id string) !string {
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mut conn := f.connection()!
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r := conn.get(prefix: 'files/' + file_id + '/content')!
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return r
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}
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// returns the purpose of the file in string format
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fn file_purpose_str(purpose FilePurpose) string {
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return match purpose {
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.assistants {
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'assistants'
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}
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.vision {
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'vision'
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}
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.batch {
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'batch'
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}
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.fine_tuning {
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'fine_tuning'
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}
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}
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}
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