paperclip/server/src/services/work-products.ts

225 lines
8.6 KiB
TypeScript

import { and, desc, eq, inArray } from "drizzle-orm";
import type { Db } from "@paperclipai/db";
import { issueWorkProducts, workspaceRuntimeServices } from "@paperclipai/db";
import type { IssueWorkProduct } from "@paperclipai/shared";
import { insertRowsInChunks } from "./batch-insert.js";
import type { ImportIssueWorkProductRow } from "./import-write-types.js";
type IssueWorkProductRow = typeof issueWorkProducts.$inferSelect;
function toIssueWorkProduct(row: IssueWorkProductRow): IssueWorkProduct {
return {
id: row.id,
companyId: row.companyId,
projectId: row.projectId ?? null,
issueId: row.issueId,
executionWorkspaceId: row.executionWorkspaceId ?? null,
runtimeServiceId: row.runtimeServiceId ?? null,
type: row.type as IssueWorkProduct["type"],
provider: row.provider,
externalId: row.externalId ?? null,
title: row.title,
url: row.url ?? null,
status: row.status,
reviewState: row.reviewState as IssueWorkProduct["reviewState"],
isPrimary: row.isPrimary,
healthStatus: row.healthStatus as IssueWorkProduct["healthStatus"],
summary: row.summary ?? null,
metadata: (row.metadata as Record<string, unknown> | null) ?? null,
sourceTrust: row.sourceTrust ?? null,
createdByRunId: row.createdByRunId ?? null,
createdAt: row.createdAt,
updatedAt: row.updatedAt,
};
}
/**
* Refresh runtime-service work products from the live runtime rows they point at
* (PAP-17572).
*
* A runtime URL is only valid for as long as the process holds that port. A
* managed restart can relocate it, which used to leave a user-facing preview link
* that answers with somebody else's service or nothing at all. The runtime row is
* the authoritative publication record, so it wins over the stored copy.
*
* Read-path only and deliberately non-destructive: a work product whose runtime
* row is gone keeps its recorded URL and is reported unhealthy rather than
* silently blanked, so the history of what was published survives.
*/
export function reconcileRuntimeServiceWorkProducts(
products: IssueWorkProduct[],
liveRuntimeServices: Array<{
id: string;
url: string | null;
status: string;
healthStatus: string;
}>,
): IssueWorkProduct[] {
if (products.length === 0) return products;
const liveById = new Map(liveRuntimeServices.map((service) => [service.id, service]));
return products.map((product) => {
if (product.type !== "runtime_service" || !product.runtimeServiceId) return product;
const live = liveById.get(product.runtimeServiceId);
if (!live) {
return product.healthStatus === "unhealthy" ? product : { ...product, healthStatus: "unhealthy" };
}
const isServing = live.status === "running" && live.healthStatus === "healthy";
const url = live.url ?? product.url;
const healthStatus: IssueWorkProduct["healthStatus"] = isServing ? "healthy" : "unhealthy";
if (product.url === url && product.healthStatus === healthStatus) return product;
return { ...product, url, healthStatus };
});
}
export function workProductService(db: Db) {
return {
listForIssue: async (issueId: string) => {
const rows = await db
.select()
.from(issueWorkProducts)
.where(eq(issueWorkProducts.issueId, issueId))
.orderBy(desc(issueWorkProducts.isPrimary), desc(issueWorkProducts.updatedAt));
const products = rows.map(toIssueWorkProduct);
const runtimeServiceIds = products
.map((product) => (product.type === "runtime_service" ? product.runtimeServiceId : null))
.filter((value): value is string => Boolean(value));
if (runtimeServiceIds.length === 0) return products;
const liveRuntimeServices = await db
.select({
id: workspaceRuntimeServices.id,
url: workspaceRuntimeServices.url,
status: workspaceRuntimeServices.status,
healthStatus: workspaceRuntimeServices.healthStatus,
})
.from(workspaceRuntimeServices)
.where(inArray(workspaceRuntimeServices.id, [...new Set(runtimeServiceIds)]));
return reconcileRuntimeServiceWorkProducts(products, liveRuntimeServices);
},
getById: async (id: string) => {
const row = await db
.select()
.from(issueWorkProducts)
.where(eq(issueWorkProducts.id, id))
.then((rows) => rows[0] ?? null);
return row ? toIssueWorkProduct(row) : null;
},
createForIssue: async (issueId: string, companyId: string, data: Omit<typeof issueWorkProducts.$inferInsert, "issueId" | "companyId">) => {
const row = await db.transaction(async (tx) => {
if (data.isPrimary) {
await tx
.update(issueWorkProducts)
.set({ isPrimary: false, updatedAt: new Date() })
.where(
and(
eq(issueWorkProducts.companyId, companyId),
eq(issueWorkProducts.issueId, issueId),
eq(issueWorkProducts.type, data.type),
),
);
}
return await tx
.insert(issueWorkProducts)
.values({
...data,
companyId,
issueId,
})
.returning()
.then((rows) => rows[0] ?? null);
});
return row ? toIssueWorkProduct(row) : null;
},
update: async (id: string, patch: Partial<typeof issueWorkProducts.$inferInsert>) => {
const row = await db.transaction(async (tx) => {
const existing = await tx
.select()
.from(issueWorkProducts)
.where(eq(issueWorkProducts.id, id))
.then((rows) => rows[0] ?? null);
if (!existing) return null;
if (patch.isPrimary === true) {
await tx
.update(issueWorkProducts)
.set({ isPrimary: false, updatedAt: new Date() })
.where(
and(
eq(issueWorkProducts.companyId, existing.companyId),
eq(issueWorkProducts.issueId, existing.issueId),
eq(issueWorkProducts.type, existing.type),
),
);
}
return await tx
.update(issueWorkProducts)
.set({ ...patch, updatedAt: new Date() })
.where(eq(issueWorkProducts.id, id))
.returning()
.then((rows) => rows[0] ?? null);
});
return row ? toIssueWorkProduct(row) : null;
},
/**
* Batched work-product insert for company import.
*
* {@link createForIssue} clears the prior primary of the same type on every
* call; imported issues are brand new, so the only primaries in play are the
* imported rows themselves. We reproduce "last primary wins" within each
* (issue, type) group and insert the whole batch in chunked statements.
*/
createManyForImport: async (rows: ImportIssueWorkProductRow[]): Promise<void> => {
if (rows.length === 0) return;
const lastPrimaryIndexByGroup = new Map<string, number>();
rows.forEach((row, index) => {
if (row.isPrimary) lastPrimaryIndexByGroup.set(`${row.issueId}:${row.type}`, index);
});
const values = rows.map((row, index) => ({
companyId: row.companyId,
issueId: row.issueId,
projectId: row.projectId ?? null,
type: row.type,
provider: row.provider,
externalId: row.externalId ?? null,
title: row.title,
url: row.url ?? null,
status: row.status,
reviewState: row.reviewState,
isPrimary: row.isPrimary
? lastPrimaryIndexByGroup.get(`${row.issueId}:${row.type}`) === index
: false,
healthStatus: row.healthStatus,
summary: row.summary ?? null,
metadata: row.metadata ?? null,
executionWorkspaceId: row.executionWorkspaceId ?? null,
runtimeServiceId: row.runtimeServiceId ?? null,
createdByRunId: row.createdByRunId ?? null,
sourceTrust: row.sourceTrust ?? null,
}));
// Chunked writes are wrapped in a single transaction so a large import
// that spans multiple insert statements is atomic: if a later chunk
// fails, the earlier chunks roll back rather than leaving a partial
// prefix behind (which a retry would then duplicate). Mirrors the
// per-writer transaction the batched issue/document writers use.
await db.transaction(async (tx) => {
await insertRowsInChunks(tx, issueWorkProducts, values);
});
},
remove: async (id: string) => {
const row = await db
.delete(issueWorkProducts)
.where(eq(issueWorkProducts.id, id))
.returning()
.then((rows) => rows[0] ?? null);
return row ? toIssueWorkProduct(row) : null;
},
};
}
export { toIssueWorkProduct };