Files
oneuptime/AIAgent/API/Metrics.ts

96 lines
2.9 KiB
TypeScript

import Express, {
ExpressRequest,
ExpressResponse,
ExpressRouter,
NextFunction,
} from "Common/Server/Utils/Express";
import Response from "Common/Server/Utils/Response";
import { ONEUPTIME_URL } from "../Config";
import HTTPErrorResponse from "Common/Types/API/HTTPErrorResponse";
import HTTPMethod from "Common/Types/API/HTTPMethod";
import HTTPResponse from "Common/Types/API/HTTPResponse";
import URL from "Common/Types/API/URL";
import { JSONObject } from "Common/Types/JSON";
import API from "Common/Utils/API";
import logger from "Common/Server/Utils/Logger";
import AIAgentAPIRequest from "../Utils/AIAgentAPIRequest";
const router: ExpressRouter = Express.getRouter();
/*
* Metrics endpoint for Keda autoscaling
* Returns the number of pending AI agent tasks
*/
router.get(
"/queue-size",
async (
req: ExpressRequest,
res: ExpressResponse,
next: NextFunction,
): Promise<void> => {
try {
/*
* Get the pending task count from OneUptime API
* This is the correct metric - the number of tasks waiting to be processed
*/
const pendingTaskCountUrl: URL = URL.fromString(
ONEUPTIME_URL.toString(),
).addRoute("/api/ai-agent-task/get-pending-task-count");
logger.debug(
"Fetching pending task count from OneUptime API for KEDA scaling",
);
// Use AI Agent authentication (AI Agent key and AI Agent ID)
const requestBody: JSONObject = AIAgentAPIRequest.getDefaultRequestBody();
const result: HTTPResponse<JSONObject> | HTTPErrorResponse =
await API.fetch<JSONObject>({
method: HTTPMethod.POST,
url: pendingTaskCountUrl,
data: requestBody,
headers: {},
});
if (result instanceof HTTPErrorResponse) {
logger.error("Error fetching pending task count from OneUptime API");
logger.error(result);
throw result;
}
logger.debug(
"Pending task count fetched successfully from OneUptime API",
);
logger.debug(result.data);
// Extract count from the response - this is the number of tasks pending to be processed
let queueSize: number = (result.data["count"] as number) || 0;
// if string then convert to number
if (typeof queueSize === "string") {
const parsedQueueSize: number = parseInt(queueSize, 10);
if (!isNaN(parsedQueueSize)) {
queueSize = parsedQueueSize;
} else {
logger.warn(
"Pending task count is not a valid number, defaulting to 0",
);
queueSize = 0;
}
}
logger.debug(`Pending task count for KEDA: ${queueSize}`);
return Response.sendJsonObjectResponse(req, res, {
queueSize: queueSize,
});
} catch (err) {
logger.error("Error in metrics queue-size endpoint");
logger.error(err);
return next(err);
}
},
);
export default router;