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Prepare break changes on dependencies
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,138 @@ | ||
| import { | ||
| HttpLlm, | ||
| IHttpConnection, | ||
| IHttpLlmApplication, | ||
| IHttpLlmFunction, | ||
| } from "@samchon/openapi"; | ||
|
|
||
| import { IHttpOpenAiApplication } from "./IHttpOpenAiApplication"; | ||
| import { IHttpOpenAiFunction } from "./IHttpOpenAiFunction"; | ||
| import { ISwagger } from "./ISwagger"; | ||
|
|
||
| export namespace HttpOpenAi { | ||
| /* ----------------------------------------------------------- | ||
| APPLICATION | ||
| ----------------------------------------------------------- */ | ||
| export const application = (props: { | ||
| document: ISwagger; | ||
| options?: Partial<IHttpOpenAiApplication.IOptions>; | ||
| }): IHttpOpenAiApplication => { | ||
| const app: IHttpLlmApplication<"3.0"> = HttpLlm.application({ | ||
| model: "3.0", | ||
| document: props.document, | ||
| options: props.options, | ||
| }); | ||
| return { | ||
| ...app, | ||
| functions: app.functions.map(functional), | ||
| }; | ||
| }; | ||
|
|
||
| const functional = ( | ||
| keyword: IHttpLlmFunction<"3.0">, | ||
| ): IHttpOpenAiFunction => { | ||
| const properties = new Map( | ||
| Object.keys(keyword.parameters.properties).map((name, i) => [name, i]), | ||
| ); | ||
| return { | ||
| ...keyword, | ||
| keyword: keyword.parameters, | ||
| parameters: Object.values(keyword.parameters.properties), | ||
| separated: keyword.separated | ||
| ? { | ||
| llm: Object.entries(keyword.separated.llm?.properties ?? {}).map( | ||
| ([key, value]) => ({ | ||
| schema: value, | ||
| index: properties.get(key) ?? 0, | ||
| }), | ||
| ), | ||
| human: Object.entries( | ||
| keyword.separated.human?.properties ?? {}, | ||
| ).map(([key, value]) => ({ | ||
| schema: value, | ||
| index: properties.get(key) ?? 0, | ||
| })), | ||
| keyword: keyword.separated, | ||
| } | ||
| : undefined, | ||
| }; | ||
| }; | ||
|
|
||
| /* ----------------------------------------------------------- | ||
| FETCHERS | ||
| ----------------------------------------------------------- */ | ||
| export interface IFetchProps { | ||
| connection: IHttpConnection; | ||
| application: IHttpOpenAiApplication; | ||
| function: IHttpOpenAiFunction; | ||
| arguments: unknown[]; | ||
| } | ||
|
|
||
| export const execute = async (props: IFetchProps): Promise<unknown> => | ||
| HttpLlm.execute(getProps(props)); | ||
|
|
||
| export const propagate = async (props: IFetchProps): Promise<unknown> => | ||
| HttpLlm.propagate(getProps(props)); | ||
|
|
||
| const getProps = (props: IFetchProps): HttpLlm.IFetchProps<"3.0"> => { | ||
| const keys: string[] = Object.keys(props.function.keyword.properties); | ||
| const input: Record<string, unknown> = Object.fromEntries( | ||
| props.arguments.map((arg, i) => [keys[i], arg]), | ||
| ); | ||
| return { | ||
| connection: props.connection, | ||
| application: { | ||
| ...props.application, | ||
| functions: [], | ||
| }, | ||
| function: { | ||
| ...props.function, | ||
| parameters: props.function.keyword, | ||
| separated: props.function.separated?.keyword, | ||
| }, | ||
| input, | ||
| }; | ||
| }; | ||
|
|
||
| /* ----------------------------------------------------------- | ||
| MERGERS | ||
| ----------------------------------------------------------- */ | ||
| export interface IMergeProps { | ||
| function: IHttpOpenAiFunction; | ||
| llm: unknown[]; | ||
| human: unknown[]; | ||
| } | ||
|
|
||
| export const mergeParameters = (props: IMergeProps): unknown[] => { | ||
| const separated: IHttpOpenAiFunction.ISeparated | undefined = | ||
| props.function.separated; | ||
| if (separated === undefined) | ||
| throw new Error( | ||
| "Error on OpenAiDataComposer.parameters(): the function parameters are not separated.", | ||
| ); | ||
| return new Array(props.function.parameters.length).fill(0).map((_, i) => { | ||
| const llm: number = separated.llm.findIndex((p) => p.index === i); | ||
| const human: number = separated.human.findIndex((p) => p.index === i); | ||
| if (llm === -1 && human === -1) | ||
| throw new Error( | ||
| "Error on OpenAiDataComposer.parameters(): failed to gather separated arguments, because both LLM and human sides are all empty.", | ||
| ); | ||
| return mergeValue(props.llm[llm], props.human[human]); | ||
| }); | ||
| }; | ||
|
|
||
| export const mergeValue = (x: unknown, y: unknown): unknown => | ||
| typeof x === "object" && typeof y === "object" && x !== null && y !== null | ||
| ? combineObject(x, y) | ||
| : Array.isArray(x) && Array.isArray(y) | ||
| ? new Array(Math.max(x.length, y.length)) | ||
| .fill(0) | ||
| .map((_, i) => mergeValue(x[i], y[i])) | ||
| : (y ?? x); | ||
|
|
||
| const combineObject = (x: any, y: any): any => { | ||
| const output: any = { ...x }; | ||
| for (const [k, v] of Object.entries(y)) output[k] = mergeValue(x[k], v); | ||
| return output; | ||
| }; | ||
| } |
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