Dotta
e43b392a79
## Thinking Path > - Paperclip is the control plane for AI-agent companies. > - Operators need a path to move local company state toward Paperclip Cloud without losing local-first control. > - The Cloud Upstream flow needs API, persistence, CLI, and board UI surfaces that agree on the same manifest/run model. > - The existing branch had the feature work plus UX and error-handling follow-ups. > - This pull request packages the remaining Cloud Upstream sync work into one standalone branch. > - The benefit is an inspectable local-to-cloud sync workflow with preview, conflicts, activation, and captured UX review states. ## What Changed - Added Cloud Upstream shared types, server routes/services, and persisted run schema/migration. - Added Paperclip Cloud CLI sync helpers and local connection storage. - Added the Cloud Upstream board UI, settings entry points, query keys, and UX lab page. - Added preview/activation checklist behavior, redirect handling, manifest-only preview support, friendly errors, in-flight hints, and entity count summaries. ## Verification - `pnpm --filter @paperclipai/plugin-sdk build` - `NODE_ENV=test pnpm exec vitest run cli/src/__tests__/cloud.test.ts server/src/__tests__/instance-settings-routes.test.ts server/src/__tests__/instance-settings-service.test.ts ui/src/pages/CloudUpstream.test.tsx ui/src/components/CompanySettingsSidebar.test.tsx` - `NODE_ENV=test pnpm exec vitest run server/src/__tests__/cloud-upstreams.test.ts` Worktree setup note: the isolated worktree install skipped native sqlite build scripts, so I copied the already-built local sqlite binding from the main checkout before running `server/src/__tests__/cloud-upstreams.test.ts`. The test then passed. ## Risks - Medium: this adds a database migration and a broad feature path across CLI/server/UI. - Merge order: this is the only PR in this split with a DB migration; merge it before any future Cloud Upstream migration follow-up. - Mitigation: the PR is based directly on current `origin/master`, has targeted route/service/UI tests, and keeps the feature behind existing experimental Cloud Sync settings. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI GPT-5 Codex via `codex_local`, tool-enabled coding session; exact context window not exposed by this runtime. ## 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 run tests locally and they pass - [x] I have added or updated tests where applicable - [x] If this change affects the UI, screenshot artifacts are intentionally omitted per reviewer request - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] I will address all Greptile and reviewer comments before requesting merge
41 lines
1.9 KiB
TypeScript
41 lines
1.9 KiB
TypeScript
import type {
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CloudUpstreamActivationEntityType,
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CloudUpstreamConnectStartResponse,
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CloudUpstreamConnection,
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CloudUpstreamPreview,
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CloudUpstreamRun,
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CloudUpstreamsState,
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} from "@paperclipai/shared";
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import { api } from "./client";
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export const cloudUpstreamsApi = {
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list: (companyId: string) =>
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api.get<CloudUpstreamsState>(`/cloud-upstreams?companyId=${encodeURIComponent(companyId)}`),
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startConnect: (input: { companyId: string; remoteUrl: string; redirectUri: string }) =>
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api.post<CloudUpstreamConnectStartResponse>("/cloud-upstreams/connect/start", input),
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finishConnect: (input: { pendingConnectionId: string; code: string; state: string }) =>
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api.post<CloudUpstreamConnection>("/cloud-upstreams/connect/finish", input),
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preview: (connectionId: string, input: { companyId: string }) =>
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api.post<CloudUpstreamPreview>(`/cloud-upstreams/${encodeURIComponent(connectionId)}/push-runs/preview`, input),
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createRun: (connectionId: string, input: { companyId: string; retryOfRunId?: string | null }) =>
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api.post<CloudUpstreamRun>(`/cloud-upstreams/${encodeURIComponent(connectionId)}/push-runs`, input ?? {}),
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getRun: (connectionId: string, runId: string, companyId: string) =>
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api.get<CloudUpstreamRun>(
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`/cloud-upstreams/${encodeURIComponent(connectionId)}/push-runs/${encodeURIComponent(runId)}?companyId=${encodeURIComponent(companyId)}`,
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),
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cancelRun: (connectionId: string, runId: string, input: { companyId: string }) =>
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api.post<CloudUpstreamRun>(
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`/cloud-upstreams/${encodeURIComponent(connectionId)}/push-runs/${encodeURIComponent(runId)}/cancel`,
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input,
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),
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activateEntities: (
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connectionId: string,
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runId: string,
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input: { companyId: string; entityType: CloudUpstreamActivationEntityType },
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) =>
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api.post<CloudUpstreamRun>(
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`/cloud-upstreams/${encodeURIComponent(connectionId)}/push-runs/${encodeURIComponent(runId)}/activation`,
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input,
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),
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};
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