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## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Task run lists show current execution and recovery state. > - Their execution projection reads runs, finalizations, pending interactions, and recovery records. > - A temporary database disconnect in one lookup makes the run list fail. > - This pull request uses the existing bounded retry policy for these read-only lookups. > - It keeps transaction reads, authorization, and liveness writes outside the retry scope. ## Linked Issues or Issue Description Refs #15248. This extends the same bounded SELECT retry policy to the execution projection used by task run lists. A wrapped `CONNECTION_CLOSED` error from the pending-interaction SELECT makes `GET /issues/:id/runs` fail. These lookups are safe to repeat on the pooled database connection. The shared projection helper also serves transaction callers, so retries must remain an explicit opt-in. ## What Changed - Opt the activity run list into per-query projection retries. Keep the default path single-attempt for transaction callers. - Rebuild only the failed SELECT. Use the existing three-attempt limit and 50/100 ms delays. - Keep completed reads, route authorization, and liveness backfill writes outside the retry callbacks. - Test each query, exhaustion, exact error preservation, non-transient errors, empty results, transaction defaults, run-list backfill behavior, and denied route access. - Document the pooled-read boundary. ## Verification - Frozen install passed with Node 24.21.0 and pnpm 9.15.4. - 92 focused tests passed across execution projection, activity service/routes, prior service-read retries, and the shared retry policy. - Independent review passed 56 projection, retry-policy, and route authorization tests with no blocking findings. - `git diff --check` and the staged diff and PR-text secret/PII scan passed. - Full workspace `pnpm -r typecheck` and `pnpm build` passed. - Greptile scored exact head `78783e84a5` 5/5 with no findings or open review threads. - Initial CI had one Runner test timeout: `stops and closes a timed-out consumer even when the caller requested a warm session` exceeded 5 seconds. Its fixture uses a 1 ms session timeout. The Runner package is unchanged from the base. The focused case passed locally (1 passed, 138 skipped). One unchanged-head rerun of that job passed all 1,219 Runner tests and the additional native-runtime integration test. All other CI lanes passed on the initial run. - Full Linux CI passed on exact head `78783e84a5`: 53 successful checks, two intentional Storybook skips, and no pending checks. It provides aggregate test coverage. A full local aggregate was not launched. The same host's prior aggregate exposed three known macOS immutable-cache rename failures in unchanged company-skills code, documented in #15298. ## Risks - An affected lookup can take up to two additional connection attempts plus 150 ms of delay. Persistent failures still return the final error. - The opt-in is only used by the pooled activity read path. No transaction, mutation, full request, or provider action is replayed. - No schema or response-shape changes. ## Model Used OpenAI GPT-6 through Codex, with reasoning, repository editing, code execution, and independent agent review. The exact deployment model ID and context window are not exposed in this session. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub references) - [x] My branch name describes the change and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass (focused suites; aggregate coverage is described above) - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge Co-authored-by: Paperclip <noreply@paperclip.ing>
327 lines
12 KiB
TypeScript
327 lines
12 KiB
TypeScript
import { and, desc, eq, inArray, sql } from "drizzle-orm";
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import {
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heartbeatRuns,
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issueRecoveryActions,
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issueThreadInteractions,
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nativeRunFinalizations,
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type Db,
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} from "@paperclipai/db";
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import type { ExecutionProjection } from "@paperclipai/shared";
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import { EXECUTION_CONTROL_DEADLINE_MS } from "./execution-control-deadline.js";
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import { executionFailureRetryCount } from "./execution-recovery-attempt.js";
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import { retryIdempotentDatabaseOperation } from "../database-retry.js";
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const text = (v: unknown) => (typeof v === "string" ? v : null);
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const executionRunColumns = {
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id: heartbeatRuns.id,
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errorCode: heartbeatRuns.errorCode,
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executionControlDeadlineAt: heartbeatRuns.executionControlDeadlineAt,
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finishedAt: heartbeatRuns.finishedAt,
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lastOutputAt: heartbeatRuns.lastOutputAt,
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lastUsefulActionAt: heartbeatRuns.lastUsefulActionAt,
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nativeIssueId: heartbeatRuns.nativeIssueId,
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nextAction: heartbeatRuns.nextAction,
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processPid: heartbeatRuns.processPid,
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retryOfRunId: heartbeatRuns.retryOfRunId,
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runtimeMode: heartbeatRuns.runtimeMode,
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scheduledRetryAt: heartbeatRuns.scheduledRetryAt,
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scheduledRetryAttempt: heartbeatRuns.scheduledRetryAttempt,
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scheduledRetryReason: heartbeatRuns.scheduledRetryReason,
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startedAt: heartbeatRuns.startedAt,
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status: heartbeatRuns.status,
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contextSnapshot: sql<Record<string, unknown>>`jsonb_build_object(
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'issueId', ${heartbeatRuns.contextSnapshot}->'issueId',
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'failureRetriesBeforeAiConnectionWait', ${heartbeatRuns.contextSnapshot}->'failureRetriesBeforeAiConnectionWait',
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'failureRetriesBeforeWorkspaceWait', ${heartbeatRuns.contextSnapshot}->'failureRetriesBeforeWorkspaceWait')`,
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};
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type Run = Pick<typeof heartbeatRuns.$inferSelect, keyof typeof executionRunColumns>;
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type Coordinator = typeof nativeRunFinalizations.$inferSelect;
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type Recovery = Pick<
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typeof issueRecoveryActions.$inferSelect,
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"cause" | "nextAction"
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> &
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Partial<
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Pick<typeof issueRecoveryActions.$inferSelect, "status" | "evidence">
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>;
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/** Batched reads; list consumers do not perform per-task polling. */
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export async function executionProjectionsForRuns(
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db: Db,
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companyId: string,
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runIds: string[],
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now = new Date(),
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options: { retryDatabaseReads?: boolean } = {},
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) {
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const projections = new Map<string, ExecutionProjection>();
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if (!runIds.length) return projections;
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// Opt in only with a pooled Db outside a transaction. Issue enrichment also
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// calls this helper with a transaction, whose failed reads must not replay.
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const read = <T>(query: () => Promise<T>) => options.retryDatabaseReads
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? retryIdempotentDatabaseOperation(query)
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: query();
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const runs = await read(async () => db
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.select(executionRunColumns)
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.from(heartbeatRuns)
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.where(
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and(
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eq(heartbeatRuns.companyId, companyId),
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inArray(heartbeatRuns.id, runIds),
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),
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));
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const coordinators = await read(async () => db
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.select()
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.from(nativeRunFinalizations)
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.where(
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and(
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eq(nativeRunFinalizations.companyId, companyId),
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inArray(nativeRunFinalizations.runId, runIds),
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),
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));
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const issueIds = [
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...new Set(
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runs
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.map((run) => run.nativeIssueId ?? text(run.contextSnapshot?.issueId))
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.filter((id): id is string => !!id),
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),
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];
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const pending = issueIds.length
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? await read(async () => db
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.select({
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issueId: issueThreadInteractions.issueId,
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kind: issueThreadInteractions.kind,
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})
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.from(issueThreadInteractions)
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.where(
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and(
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eq(issueThreadInteractions.companyId, companyId),
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inArray(issueThreadInteractions.issueId, issueIds),
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eq(issueThreadInteractions.status, "pending"),
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),
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))
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: [];
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const recovery = issueIds.length
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? await read(async () => db
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.select({
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issueId: issueRecoveryActions.sourceIssueId,
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cause: issueRecoveryActions.cause,
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nextAction: issueRecoveryActions.nextAction,
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evidence: issueRecoveryActions.evidence,
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status: issueRecoveryActions.status,
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})
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.from(issueRecoveryActions)
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.where(
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and(
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eq(issueRecoveryActions.companyId, companyId),
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inArray(issueRecoveryActions.sourceIssueId, issueIds),
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inArray(issueRecoveryActions.status, [
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"active",
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"escalated",
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"resolved",
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]),
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),
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)
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.orderBy(desc(issueRecoveryActions.updatedAt)))
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: [];
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const coordinatorByRun = new Map(coordinators.map((row) => [row.runId, row]));
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for (const run of runs) {
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const issueId = run.nativeIssueId ?? text(run.contextSnapshot?.issueId);
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const matching = recovery.filter(
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(row) =>
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row.issueId === issueId &&
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(row.status !== "resolved" || row.evidence.executionReconciliation || row.evidence.automaticRecovery) &&
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(row.evidence.runId === run.id || row.evidence.sourceRunId === run.id),
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);
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const action =
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matching.find((row) => row.status !== "resolved") ?? matching[0];
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projections.set(
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run.id,
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projectExecution(
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run,
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coordinatorByRun.get(run.id),
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pending.filter((row) => row.issueId === issueId),
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action,
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now,
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),
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);
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}
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return projections;
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}
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export async function executionProjectionForRun(
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db: Db,
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companyId: string,
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runId: string,
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now = new Date(),
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): Promise<ExecutionProjection | null> {
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return (
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(await executionProjectionsForRuns(db, companyId, [runId], now)).get(
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runId,
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) ?? null
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);
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}
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export function projectExecution(
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run: Run,
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coordinator: Coordinator | undefined,
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pending: Array<{ kind: string }>,
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recoveryAction: Recovery | undefined,
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now = new Date(),
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): ExecutionProjection {
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const detail = coordinator?.failureDetail ?? {};
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const successorRunId = text(detail.successorRunId);
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const projection: ExecutionProjection = {
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phase: "queued",
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label: "Queued",
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cause: run.errorCode ?? coordinator?.failureCode ?? null,
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lastConfirmedActivityAt:
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(
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run.lastUsefulActionAt ??
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run.lastOutputAt ??
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run.startedAt
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)?.toISOString() ?? null,
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retryAt:
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(coordinator?.nextAttemptAt ?? run.scheduledRetryAt)?.toISOString() ??
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null,
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attempt: coordinator?.attempt ?? executionFailureRetryCount(run) + 1,
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maxAttempts: 3,
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recoveryOwner: null,
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nextAction: text(detail.nextAction) ?? run.nextAction,
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permittedActions: ["inspect_run"],
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predecessorRunId: run.retryOfRunId,
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successorRunId,
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};
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const set = (phase: ExecutionProjection["phase"], label: string) =>
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Object.assign(projection, { phase, label });
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if (recoveryAction?.status === "resolved" && recoveryAction.evidence?.automaticRecovery) {
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projection.cause = recoveryAction.cause;
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projection.nextAction = recoveryAction.nextAction;
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const continuation = recoveryAction.evidence.explicitUserContinuation as
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{ previousRunId?: unknown; runId?: unknown } | undefined;
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const explicitSuccessor = text(continuation?.runId);
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if (continuation?.previousRunId === run.id && explicitSuccessor && explicitSuccessor !== run.id) {
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// The admission transaction already recorded the user's successor. Keep
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// the old failure diagnostic without making it hold the newer attempt.
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projection.successorRunId = explicitSuccessor;
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projection.nextAction = null;
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return set("completed", "Continued in another run");
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}
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// Diagnostic projection only: no user decision or replay affordance.
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return set("recovery_needed", "Stopped");
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}
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if (
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recoveryAction?.status === "resolved" &&
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recoveryAction.evidence?.executionReconciliation
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) {
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if (recoveryAction.evidence.continuationDelivery === "invalidated") {
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projection.cause = "continuation_ownership_changed";
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projection.nextAction =
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"The task was closed or reassigned before delivery. Inspect the current task owner and status.";
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return set("failed", "Continuation cancelled");
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}
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const deliveredRunId = text(recoveryAction.evidence.continuationRunId);
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projection.successorRunId = deliveredRunId;
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projection.cause = null;
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projection.nextAction = deliveredRunId
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? null
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: "The previous execution is reconciled. Its continuation is queued for delivery.";
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return set(
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deliveredRunId ? "completed" : "queued",
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deliveredRunId ? "Continued in another run" : "Continuation queued",
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);
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}
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if (
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(run.status === "running" &&
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(run.executionControlDeadlineAt || coordinator?.controlDeadlineAt)) ||
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[
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"result_persisted",
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"ready_for_assessment",
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"arbitrating",
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"workspace_pending",
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].includes(coordinator?.phase ?? "")
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)
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return set("finishing", "Finishing");
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if (successorRunId) return set("completed", "Continued in another run");
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if (run.status === "scheduled_retry" && run.scheduledRetryReason === "ai_connection_busy") {
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projection.nextAction = "Waiting for the AI subscription's current execution to finish; the scheduled check will revalidate access.";
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return set("retry_scheduled", "Waiting for AI subscription");
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}
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if (run.status === "scheduled_retry" && run.scheduledRetryReason === "workspace_busy") {
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projection.nextAction = "Waiting for the live workspace holder to finish; the scheduled check will revalidate ownership.";
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return set("retry_scheduled", "Waiting for workspace");
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}
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// Cleanup can fail before a finalization coordinator exists. The missing
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// row must not turn a quarantined native session into an ordinary Retry.
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const cleanupQuarantined = run.runtimeMode === "native" &&
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["failed", "timed_out"].includes(run.status) &&
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run.errorCode === "native_session_cleanup_quarantined";
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if (!cleanupQuarantined && (
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coordinator?.phase === "retryable_failure" ||
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run.status === "scheduled_retry"
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)) {
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projection.recoveryOwner = "agent";
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return set(
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projection.retryAt && new Date(projection.retryAt) > now
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? "retry_scheduled"
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: "reconnecting",
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projection.retryAt && new Date(projection.retryAt) > now
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? "Retry scheduled"
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: "Reconnecting",
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);
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}
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if (coordinator?.phase === "terminal_failure" || recoveryAction || cleanupQuarantined) {
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if (
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!cleanupQuarantined &&
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coordinator?.failureCode === "native_provider_terminal_failed" &&
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!detail.replacementDenied &&
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run.finishedAt &&
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now.getTime() - run.finishedAt.getTime() < EXECUTION_CONTROL_DEADLINE_MS
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) {
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projection.recoveryOwner = "agent";
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projection.nextAction =
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"Checking that the previous provider stopped and its action outcomes are known before continuing.";
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return set("reconnecting", "Checking recovery");
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}
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projection.recoveryOwner = "board";
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projection.cause =
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recoveryAction?.cause ??
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text(detail.replacementDenied) ??
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projection.cause;
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projection.nextAction = recoveryAction?.nextAction ?? projection.nextAction;
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if (cleanupQuarantined && !projection.nextAction) {
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projection.nextAction = "Verify the stopped session and its saved work before starting a new attempt.";
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}
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projection.permittedActions.push("inspect_recovery");
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return set("recovery_needed", "Recovery needed");
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}
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if (run.status === "succeeded") {
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if (pending.length)
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return set(
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pending.some((row) => row.kind === "connection_intent")
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? "waiting_for_access"
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: "waiting_for_answer",
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pending.some((row) => row.kind === "connection_intent")
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? "Waiting for access"
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: "Waiting for answer",
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);
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return set("completed", "Completed");
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}
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if (["failed", "cancelled", "timed_out", "interrupted"].includes(run.status))
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return set("failed", run.status === "cancelled" ? "Cancelled" : "Failed");
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if (run.status === "running") {
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const leaseConfirmed =
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coordinator?.phase === "observed" &&
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coordinator.leaseExpiresAt &&
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coordinator.leaseExpiresAt > now;
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let processConfirmed = false;
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if (run.runtimeMode === "legacy" && run.processPid) {
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try {
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process.kill(run.processPid, 0);
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processConfirmed = true;
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} catch {
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/* No execution confirmation. */
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}
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}
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return leaseConfirmed || processConfirmed
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? set("working", "Working")
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: set("reconnecting", "Confirming execution");
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}
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return projection;
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}
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