Files
vscode-codeql/extensions/ql-vscode/src/model-editor/auto-model-api.ts
2024-01-05 17:13:45 +01:00

66 lines
1.6 KiB
TypeScript

import type { Credentials } from "../common/authentication";
import type { OctokitResponse } from "@octokit/types";
import fetch from "node-fetch";
import type { ModelConfigListener } from "../config";
export enum AutomodelMode {
Unspecified = "AUTOMODEL_MODE_UNSPECIFIED",
Framework = "AUTOMODEL_MODE_FRAMEWORK",
Application = "AUTOMODEL_MODE_APPLICATION",
}
export interface ModelRequest {
mode: AutomodelMode;
// Base64-encoded GZIP-compressed SARIF log
candidates: string;
}
export interface ModelResponse {
models: string;
}
export async function autoModel(
credentials: Credentials,
request: ModelRequest,
modelingConfig: ModelConfigListener,
): Promise<ModelResponse> {
const devEndpoint = modelingConfig.llmGenerationDevEndpoint;
if (devEndpoint) {
return callAutoModelDevEndpoint(devEndpoint, request);
} else {
const octokit = await credentials.getOctokit();
const response: OctokitResponse<ModelResponse> = await octokit.request(
"POST /repos/github/codeql/code-scanning/codeql/auto-model",
{
data: request,
},
);
return response.data;
}
}
async function callAutoModelDevEndpoint(
endpoint: string,
request: ModelRequest,
): Promise<ModelResponse> {
const json = JSON.stringify(request);
const response = await fetch(endpoint, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: json,
});
if (!response.ok) {
throw new Error(
`Error calling auto-model API: ${response.status} ${response.statusText}`,
);
}
const data = await response.json();
return data as ModelResponse;
}