Chris Farhood
efbbfbc299
When waitForJobCompletion threw a transient error (API disconnect, etc.), the code fell through with jobTimedOut=true and returned a result even though the job was still running. This caused the UI to think the run was complete while the job kept running, resulting in concurrency errors. Now when completion throws, we re-check the job's actual state. If still not terminal, we return a k8s_job_state_mismatch error so the UI knows the run is not done. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
502 lines
23 KiB
JavaScript
502 lines
23 KiB
JavaScript
import { asString, asNumber, asBoolean, parseObject } from "@paperclipai/adapter-utils/server-utils";
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import { parseClaudeStreamJson, describeClaudeFailure, isClaudeMaxTurnsResult, isClaudeUnknownSessionError, } from "./parse.js";
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import { getSelfPodInfo, getBatchApi, getCoreApi, getLogApi } from "./k8s-client.js";
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import { buildJobManifest } from "./job-manifest.js";
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import { Writable } from "node:stream";
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const POLL_INTERVAL_MS = 2000;
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const KEEPALIVE_INTERVAL_MS = 15_000;
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const LOG_STREAM_RECONNECT_DELAY_MS = 3_000;
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/**
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* Wait for the Job's pod to reach a terminal or running state.
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* Returns the pod name once logs can be streamed, or throws on failure.
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*/
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async function waitForPod(namespace, jobName, timeoutMs, onLog, kubeconfigPath) {
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const coreApi = getCoreApi(kubeconfigPath);
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const deadline = Date.now() + timeoutMs;
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const labelSelector = `job-name=${jobName}`;
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await onLog("stdout", `[paperclip] Waiting for pod to be scheduled (job: ${jobName})...\n`);
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let lastStatus = "";
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while (Date.now() < deadline) {
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const podList = await coreApi.listNamespacedPod({
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namespace,
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labelSelector,
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});
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const pod = podList.items[0];
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if (!pod) {
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if (lastStatus !== "no-pod") {
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await onLog("stdout", `[paperclip] Waiting for Job controller to create pod...\n`);
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lastStatus = "no-pod";
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}
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await new Promise((resolve) => setTimeout(resolve, POLL_INTERVAL_MS));
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continue;
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}
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const podName = pod.metadata?.name ?? "unknown";
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const phase = pod.status?.phase ?? "Unknown";
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const initStatuses = pod.status?.initContainerStatuses ?? [];
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const containerStatuses = pod.status?.containerStatuses ?? [];
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// Log phase transitions
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const statusKey = `${phase}:${initStatuses.map((s) => s.state?.waiting?.reason ?? s.state?.terminated?.reason ?? "ok").join(",")}:${containerStatuses.map((s) => s.state?.waiting?.reason ?? s.state?.running ? "running" : "waiting").join(",")}`;
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if (statusKey !== lastStatus) {
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const details = [`phase=${phase}`];
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for (const init of initStatuses) {
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if (init.state?.waiting)
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details.push(`init/${init.name}: waiting (${init.state.waiting.reason ?? "unknown"})`);
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else if (init.state?.running)
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details.push(`init/${init.name}: running`);
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else if (init.state?.terminated)
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details.push(`init/${init.name}: done (exit ${init.state.terminated.exitCode})`);
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}
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for (const cs of containerStatuses) {
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if (cs.state?.waiting)
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details.push(`${cs.name}: waiting (${cs.state.waiting.reason ?? "unknown"})`);
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else if (cs.state?.running)
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details.push(`${cs.name}: running`);
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}
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await onLog("stdout", `[paperclip] Pod ${podName}: ${details.join(", ")}\n`);
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lastStatus = statusKey;
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}
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// Ready to stream logs
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if (phase === "Running" || phase === "Succeeded" || phase === "Failed") {
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return podName;
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}
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// Init containers done + main running (phase may still say Pending briefly)
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const allInitsDone = initStatuses.length > 0 && initStatuses.every((s) => s.state?.terminated?.exitCode === 0);
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const mainRunning = containerStatuses.some((s) => s.state?.running);
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if (allInitsDone && mainRunning) {
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return podName;
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}
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// Check for init container failures
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for (const init of initStatuses) {
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const terminated = init.state?.terminated;
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if (terminated && (terminated.exitCode ?? 0) !== 0) {
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throw new Error(`Init container "${init.name}" failed with exit code ${terminated.exitCode}: ${terminated.reason ?? terminated.message ?? "unknown"}`);
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}
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const waiting = init.state?.waiting;
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if (waiting?.reason === "ErrImagePull" || waiting?.reason === "ImagePullBackOff") {
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throw new Error(`Init container "${init.name}" image pull failed: ${waiting.message ?? waiting.reason}`);
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}
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if (waiting?.reason === "CrashLoopBackOff") {
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throw new Error(`Init container "${init.name}" crash loop: ${waiting.message ?? waiting.reason}`);
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}
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}
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// Check for unrecoverable scheduling failures
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const conditions = pod.status?.conditions ?? [];
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const unschedulable = conditions.find((c) => c.type === "PodScheduled" && c.status === "False" && c.reason === "Unschedulable");
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if (unschedulable) {
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throw new Error(`Pod unschedulable: ${unschedulable.message ?? "insufficient resources"}`);
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}
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// Check for main container image pull errors
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for (const cs of containerStatuses) {
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const waiting = cs.state?.waiting;
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if (waiting?.reason === "ErrImagePull" || waiting?.reason === "ImagePullBackOff") {
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throw new Error(`Image pull failed for "${cs.name}": ${waiting.message ?? waiting.reason}`);
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}
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if (waiting?.reason === "CrashLoopBackOff") {
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throw new Error(`Container "${cs.name}" crash loop: ${waiting.message ?? waiting.reason}`);
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}
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}
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await new Promise((resolve) => setTimeout(resolve, POLL_INTERVAL_MS));
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}
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throw new Error(`Timed out waiting for pod to be scheduled (${Math.round(timeoutMs / 1000)}s)`);
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}
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/**
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* Stream pod logs once via follow. Returns accumulated stdout when the
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* stream ends (container exit, API disconnect, or abort signal).
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*/
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async function streamPodLogsOnce(namespace, podName, onLog, kubeconfigPath, sinceSeconds) {
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const logApi = getLogApi(kubeconfigPath);
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const chunks = [];
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const writable = new Writable({
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write(chunk, _encoding, callback) {
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const text = chunk.toString("utf-8");
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chunks.push(text);
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void onLog("stdout", text).then(() => callback(), callback);
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},
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});
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try {
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await logApi.log(namespace, podName, "claude", writable, {
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follow: true,
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pretty: false,
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...(sinceSeconds ? { sinceSeconds } : {}),
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});
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}
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catch {
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// follow may fail if the container already exited or the API
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// connection dropped — not fatal, caller decides whether to retry.
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}
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return chunks.join("");
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}
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/**
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* Stream pod logs with automatic reconnection. Keeps retrying the log
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* stream until the stop signal fires (job completed) or the container
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* exits normally. This handles silent K8s API connection drops that
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* would otherwise cause the UI to stop receiving real output.
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*/
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async function streamPodLogs(namespace, podName, onLog, kubeconfigPath, stopSignal) {
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const allChunks = [];
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let attempt = 0;
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const streamStartedAt = Math.floor(Date.now() / 1000);
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while (!stopSignal?.stopped) {
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// On reconnect, ask for logs since the stream originally started to
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// avoid missing output during the reconnect gap. Duplicates are
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// tolerable — the UI deduplicates log chunks.
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const sinceSeconds = attempt > 0
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? Math.max(1, Math.floor(Date.now() / 1000) - streamStartedAt + 5)
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: undefined;
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if (attempt > 0) {
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await onLog("stdout", `[paperclip] Log stream disconnected — reconnecting (attempt ${attempt})...\n`);
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}
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const result = await streamPodLogsOnce(namespace, podName, onLog, kubeconfigPath, sinceSeconds);
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if (result)
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allChunks.push(result);
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attempt++;
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// If the job is done or the container exited, no need to reconnect.
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if (stopSignal?.stopped)
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break;
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// Brief pause before reconnecting to avoid tight loops.
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await new Promise((resolve) => setTimeout(resolve, LOG_STREAM_RECONNECT_DELAY_MS));
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}
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return allChunks.join("");
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}
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/**
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* One-shot read of pod logs (no follow). Used as fallback when the
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* follow stream missed output because the container exited quickly.
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*/
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async function readPodLogs(namespace, podName, kubeconfigPath) {
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const coreApi = getCoreApi(kubeconfigPath);
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try {
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const log = await coreApi.readNamespacedPodLog({
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name: podName,
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namespace,
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container: "claude",
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});
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return typeof log === "string" ? log : "";
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}
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catch {
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return "";
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}
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}
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/**
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* Wait for the Job to reach a terminal state (Complete or Failed).
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* Returns the Job's final status.
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*/
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async function waitForJobCompletion(namespace, jobName, timeoutMs, kubeconfigPath) {
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const batchApi = getBatchApi(kubeconfigPath);
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const deadline = timeoutMs > 0 ? Date.now() + timeoutMs : 0;
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while (deadline === 0 || Date.now() < deadline) {
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const job = await batchApi.readNamespacedJob({ name: jobName, namespace });
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const conditions = job.status?.conditions ?? [];
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const complete = conditions.find((c) => c.type === "Complete" && c.status === "True");
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if (complete)
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return { succeeded: true, timedOut: false };
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const failed = conditions.find((c) => c.type === "Failed" && c.status === "True");
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if (failed) {
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const isDeadlineExceeded = failed.reason === "DeadlineExceeded";
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return { succeeded: false, timedOut: isDeadlineExceeded };
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}
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await new Promise((resolve) => setTimeout(resolve, POLL_INTERVAL_MS));
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}
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return { succeeded: false, timedOut: true };
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}
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/**
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* Get the exit code from the Job's pod.
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*/
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async function getPodExitCode(namespace, jobName, kubeconfigPath) {
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const coreApi = getCoreApi(kubeconfigPath);
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const podList = await coreApi.listNamespacedPod({
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namespace,
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labelSelector: `job-name=${jobName}`,
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});
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const pod = podList.items[0];
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if (!pod)
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return null;
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const containerStatus = pod.status?.containerStatuses?.find((s) => s.name === "claude");
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return containerStatus?.state?.terminated?.exitCode ?? null;
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}
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/**
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* Delete Job and its pods. Best-effort — failures are logged but not thrown.
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*/
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async function cleanupJob(namespace, jobName, onLog, kubeconfigPath) {
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try {
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const batchApi = getBatchApi(kubeconfigPath);
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await batchApi.deleteNamespacedJob({
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name: jobName,
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namespace,
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body: { propagationPolicy: "Background" },
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});
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}
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catch (err) {
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const msg = err instanceof Error ? err.message : String(err);
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await onLog("stderr", `[paperclip] Warning: failed to cleanup job ${jobName}: ${msg}\n`);
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}
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}
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export async function execute(ctx) {
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const { runId, runtime, config: rawConfig, onLog, onMeta } = ctx;
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const config = parseObject(rawConfig);
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const timeoutSec = asNumber(config.timeoutSec, 0);
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const graceSec = asNumber(config.graceSec, 60);
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const retainJobs = asBoolean(config.retainJobs, false);
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const kubeconfigPath = asString(config.kubeconfig, "") || undefined;
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// Guard: claude_k8s must not run concurrently for the same agent (shared PVC/session)
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const agentId = ctx.agent.id;
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const selfPod = await getSelfPodInfo(kubeconfigPath);
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const guardNamespace = asString(config.namespace, "") || selfPod.namespace;
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try {
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const batchApi = getBatchApi(kubeconfigPath);
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const existing = await batchApi.listNamespacedJob({
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namespace: guardNamespace,
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labelSelector: `paperclip.io/agent-id=${agentId},paperclip.io/adapter-type=claude_k8s`,
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});
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const running = existing.items.filter((j) => !j.status?.conditions?.some((c) => (c.type === "Complete" || c.type === "Failed") && c.status === "True"));
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if (running.length > 0) {
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const names = running.map((j) => j.metadata?.name).join(", ");
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await onLog("stderr", `[paperclip] Concurrent run blocked: existing Job(s) still running for this agent: ${names}\n`);
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return {
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exitCode: null,
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signal: null,
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timedOut: false,
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errorMessage: `Concurrent run blocked: Job ${names} is still running for this agent`,
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errorCode: "k8s_concurrent_run_blocked",
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};
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}
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}
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catch {
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// If we can't check, proceed — the heartbeat service enforces concurrency too
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}
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// Build Job manifest
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const { job, jobName, namespace, prompt, claudeArgs, promptMetrics } = buildJobManifest({
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ctx,
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selfPod,
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});
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// Report invocation metadata
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if (onMeta) {
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await onMeta({
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adapterType: "claude_k8s",
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command: `kubectl job/${jobName}`,
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cwd: namespace,
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commandArgs: claudeArgs,
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commandNotes: [
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`Image: ${job.spec?.template.spec?.containers[0]?.image ?? "unknown"}`,
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`Namespace: ${namespace}`,
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`Timeout: ${timeoutSec}s`,
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],
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prompt,
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...(promptMetrics ? { promptMetrics } : {}),
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context: ctx.context,
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});
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}
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// Create the Job
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const batchApi = getBatchApi(kubeconfigPath);
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try {
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await batchApi.createNamespacedJob({ namespace, body: job });
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}
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catch (err) {
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const msg = err instanceof Error ? err.message : String(err);
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await onLog("stderr", `[paperclip] Failed to create K8s Job: ${msg}\n`);
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return {
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exitCode: null,
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signal: null,
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timedOut: false,
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errorMessage: `Failed to create Kubernetes Job: ${msg}`,
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errorCode: "k8s_job_create_failed",
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};
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}
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await onLog("stdout", `[paperclip] Created K8s Job: ${jobName} in namespace ${namespace} (deadline: ${timeoutSec > 0 ? `${timeoutSec}s` : "none"})\n`);
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let stdout = "";
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let exitCode = null;
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let jobTimedOut = false;
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let keepaliveTimer = null;
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try {
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// Wait for pod to be ready for log streaming
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const scheduleTimeoutMs = 120_000; // 2 minutes for scheduling
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let podName;
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try {
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podName = await waitForPod(namespace, jobName, scheduleTimeoutMs, onLog, kubeconfigPath);
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await onLog("stdout", `[paperclip] Pod running: ${podName}\n`);
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}
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catch (err) {
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const msg = err instanceof Error ? err.message : String(err);
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await onLog("stderr", `[paperclip] Pod scheduling failed: ${msg}\n`);
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return {
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exitCode: null,
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signal: null,
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timedOut: false,
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errorMessage: `Pod scheduling failed: ${msg}`,
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errorCode: "k8s_pod_schedule_failed",
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};
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}
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// Stream logs and wait for completion concurrently.
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// The log stream will end when the container exits.
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// We also poll the Job status to detect deadline exceeded.
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// 0 = no timeout (run indefinitely, matching claude_local behavior)
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const completionTimeoutMs = timeoutSec > 0 ? (timeoutSec + graceSec) * 1000 : 0;
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// Keepalive: periodically send a status line via onLog so the
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// Paperclip server knows the adapter is still alive even when the
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// pod produces no output (e.g. Claude is in a long thinking phase).
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let lastLogAt = Date.now();
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keepaliveTimer = setInterval(() => {
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const silenceSec = Math.round((Date.now() - lastLogAt) / 1000);
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void onLog("stdout", `[paperclip] keepalive — job ${jobName} running (${silenceSec}s since last output)\n`);
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}, KEEPALIVE_INTERVAL_MS);
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const wrappedOnLog = async (stream, chunk) => {
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lastLogAt = Date.now();
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return onLog(stream, chunk);
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};
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// Shared signal: when job completion resolves, tell the log
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// streamer to stop reconnecting.
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const logStopSignal = { stopped: false };
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const [logResult, completionResult] = await Promise.allSettled([
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streamPodLogs(namespace, podName, wrappedOnLog, kubeconfigPath, logStopSignal),
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waitForJobCompletion(namespace, jobName, completionTimeoutMs, kubeconfigPath).then((r) => {
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logStopSignal.stopped = true;
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return r;
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}),
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]);
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if (logResult.status === "fulfilled") {
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stdout = logResult.value;
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}
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// If the follow stream missed output (container exited quickly), do a
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// one-shot log read as fallback before the pod is cleaned up.
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if (!stdout.trim()) {
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await onLog("stdout", `[paperclip] Log stream returned empty — reading pod logs directly...\n`);
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stdout = await readPodLogs(namespace, podName, kubeconfigPath);
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if (stdout.trim()) {
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await onLog("stdout", stdout);
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}
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}
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// If the follow stream missed output (container exited quickly), do a
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// one-shot log read as fallback before the pod is cleaned up.
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if (!stdout.trim()) {
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await onLog("stdout", `[paperclip] Log stream returned empty — reading pod logs directly...\n`);
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stdout = await readPodLogs(namespace, podName, kubeconfigPath);
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if (stdout.trim()) {
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await onLog("stdout", stdout);
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}
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}
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if (completionResult.status === "fulfilled") {
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jobTimedOut = completionResult.value.timedOut;
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}
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else {
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// waitForJobCompletion threw — re-check job state to avoid returning
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// while the job is still running (which would cause UI staleness and
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// concurrency errors on retry).
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jobTimedOut = false;
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const actualState = await waitForJobCompletion(namespace, jobName, 0, kubeconfigPath);
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if (actualState.timedOut) {
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// Truly a timeout after re-check — treat as timed out.
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jobTimedOut = true;
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}
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else if (!actualState.succeeded) {
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// Job still not terminal — the completion error was likely transient.
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// Return an error so the UI knows the run is not done, rather than
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// returning with parsed (potentially incomplete) stdout.
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await onLog("stderr", `[paperclip] Job ${jobName} still not terminal after log/completion mismatch — returning error to keep UI in sync.\n`);
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return {
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exitCode,
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signal: null,
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timedOut: false,
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errorMessage: `Job ${jobName} did not complete cleanly (log stream ended before job reached terminal state)`,
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errorCode: "k8s_job_state_mismatch",
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};
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}
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}
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exitCode = await getPodExitCode(namespace, jobName, kubeconfigPath);
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}
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finally {
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if (keepaliveTimer)
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clearInterval(keepaliveTimer);
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if (!retainJobs) {
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await cleanupJob(namespace, jobName, onLog, kubeconfigPath);
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}
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else {
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await onLog("stdout", `[paperclip] Retaining job ${jobName} for debugging (retainJobs=true)\n`);
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}
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}
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// Parse Claude output (reuse claude_local parsing)
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if (jobTimedOut) {
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return {
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exitCode,
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signal: null,
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timedOut: true,
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errorMessage: `Timed out after ${timeoutSec}s`,
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errorCode: "timeout",
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};
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}
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const parsedStream = parseClaudeStreamJson(stdout);
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const parsed = parsedStream.resultJson;
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// If the session was stale, clear it so the next heartbeat starts fresh
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if (parsed && (exitCode ?? 0) !== 0 && isClaudeUnknownSessionError(parsed)) {
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await onLog("stdout", `[paperclip] Claude session is unavailable; clearing for next run.\n`);
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return {
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exitCode,
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signal: null,
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|
timedOut: false,
|
|
errorMessage: describeClaudeFailure(parsed) ?? "Session unavailable",
|
|
errorCode: "session_unavailable",
|
|
clearSession: true,
|
|
resultJson: parsed,
|
|
};
|
|
}
|
|
if (!parsed) {
|
|
const stderrLine = stdout.split(/\r?\n/).map((l) => l.trim()).find(Boolean) ?? "";
|
|
return {
|
|
exitCode,
|
|
signal: null,
|
|
timedOut: false,
|
|
errorMessage: exitCode === 0
|
|
? "Failed to parse Claude JSON output"
|
|
: stderrLine
|
|
? `Claude exited with code ${exitCode ?? -1}: ${stderrLine}`
|
|
: `Claude exited with code ${exitCode ?? -1}`,
|
|
resultJson: { stdout },
|
|
};
|
|
}
|
|
const usage = parsedStream.usage ?? (() => {
|
|
const usageObj = parseObject(parsed.usage);
|
|
return {
|
|
inputTokens: asNumber(usageObj.input_tokens, 0),
|
|
cachedInputTokens: asNumber(usageObj.cache_read_input_tokens, 0),
|
|
outputTokens: asNumber(usageObj.output_tokens, 0),
|
|
};
|
|
})();
|
|
const runtimeSessionParams = parseObject(runtime.sessionParams);
|
|
const fallbackSessionId = asString(runtimeSessionParams.sessionId, runtime.sessionId ?? "");
|
|
const resolvedSessionId = parsedStream.sessionId
|
|
?? (asString(parsed.session_id, fallbackSessionId) || fallbackSessionId);
|
|
const model = asString(config.model, "");
|
|
const workspaceContext = parseObject(ctx.context.paperclipWorkspace);
|
|
const workspaceId = asString(workspaceContext.workspaceId, "") || null;
|
|
const workspaceRepoUrl = asString(workspaceContext.repoUrl, "") || null;
|
|
const workspaceRepoRef = asString(workspaceContext.repoRef, "") || null;
|
|
const cwd = asString(workspaceContext.cwd, "");
|
|
const resolvedSessionParams = resolvedSessionId
|
|
? {
|
|
sessionId: resolvedSessionId,
|
|
...(cwd ? { cwd } : {}),
|
|
...(workspaceId ? { workspaceId } : {}),
|
|
...(workspaceRepoUrl ? { repoUrl: workspaceRepoUrl } : {}),
|
|
...(workspaceRepoRef ? { repoRef: workspaceRepoRef } : {}),
|
|
}
|
|
: null;
|
|
const clearSessionForMaxTurns = isClaudeMaxTurnsResult(parsed);
|
|
return {
|
|
exitCode,
|
|
signal: null,
|
|
timedOut: false,
|
|
errorMessage: (exitCode ?? 0) === 0
|
|
? null
|
|
: describeClaudeFailure(parsed) ?? `Claude exited with code ${exitCode ?? -1}`,
|
|
usage,
|
|
sessionId: resolvedSessionId || null,
|
|
sessionParams: resolvedSessionParams,
|
|
sessionDisplayId: resolvedSessionId || null,
|
|
provider: "anthropic",
|
|
model: parsedStream.model || asString(parsed.model, model),
|
|
billingType: "api",
|
|
costUsd: parsedStream.costUsd ?? asNumber(parsed.total_cost_usd, 0),
|
|
resultJson: parsed,
|
|
summary: parsedStream.summary || asString(parsed.result, ""),
|
|
clearSession: clearSessionForMaxTurns,
|
|
};
|
|
}
|
|
//# sourceMappingURL=execute.js.map
|