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import { Hono } from "hono";
import { eq, sql, inArray, and } from "drizzle-orm";
import { handleError, success } from "../../lib/response";
import { CACHE_KEYS, CACHE_TTL } from "../../lib/cache";
import type { ContextVariables } from "../../middleware";
import * as schema from "../../db/schema";
import { enrichProjectsWithTaxonomy } from "./project-enrichment";
type Env = {
Bindings: CloudflareBindings;
Variables: ContextVariables;
};
const homepage = new Hono<Env>();
// GET /api/marketplace/homepage — all homepage data in one call
homepage.get("/", async (c) => {
try {
const services = c.get("services");
const dal = c.get("dal");
const db = c.get("db");
const cache = c.get("cache");
const data = await cache.getOrSet(
CACHE_KEYS.MARKETPLACE_HOMEPAGE,
async () => {
// Step 1: Get published pro IDs (needed for all queries)
const publishedProIds =
await dal.pros.findIdsByStatus("published");
if (publishedProIds.length === 0) {
return {
featuredProject: null,
featuredMedia: [] as Array<{
storageKey: string;
roomName: string;
}>,
latestProjects: [] as Awaited<
ReturnType<typeof enrichProjectsWithTaxonomy>
>,
featuredPros: [] as Array<Record<string, unknown>>,
roomCategories: [] as Array<{
value: string;
label: string;
coverImage: string | null;
projectCount: number;
}>,
stats: { prosCount: 0, projectsCount: 0 },
};
}
// Step 2: Run all independent queries in parallel
const [
latestProjectsResult,
featuredProsResult,
prosCountResult,
projectsCountResult,
allRoomTypes,
] = await Promise.all([
// Latest 12 published projects. Use requirePublishedPro
// instead of passing publishedProIds as a bind list so this
// filter stays safe as the pro roster grows past D1's
// 100-parameter limit (see error-reports/2026-04-20).
services.project.list(
{
status: "published",
requirePublishedPro: true,
},
1,
12,
),
// Featured pros: 6 published pros, preferring isFeatured=true
services.pro.list(
{
status: "published",
isFeatured: true,
},
1,
6,
),
// Stats: total published pros
db
.select({ count: sql<number>`count(*)` })
.from(schema.pros)
.where(eq(schema.pros.status, "published")),
// Stats: total published projects
db
.select({ count: sql<number>`count(*)` })
.from(schema.projects)
.where(eq(schema.projects.status, "published")),
// All room types for categories
db.select().from(schema.roomTypes),
]);
// If we didn't get 6 featured pros, backfill with non-featured
const prosData = featuredProsResult.pros;
if (prosData.length < 6) {
const backfillResult = await services.pro.list(
{ status: "published" },
1,
6,
);
// Merge: featured first, then non-featured, deduplicated
const seenIds = new Set(prosData.map((p) => p.id));
for (const pro of backfillResult.pros) {
if (!seenIds.has(pro.id) && prosData.length < 6) {
prosData.push(pro);
seenIds.add(pro.id);
}
}
}
// Step 3: Enrich latest projects with taxonomy data (includes pro info, covers)
const enrichedProjects = await enrichProjectsWithTaxonomy(
db,
services,
dal,
latestProjectsResult.projects,
);
// Step 4: Find featured project (first project with 3+ media items)
// Fetch rooms and media for the latest projects to find one with rich media
let featuredProject = null;
let featuredMedia: Array<{
storageKey: string;
roomName: string;
}> = [];
const projectIds = latestProjectsResult.projects.map(
(p) => p.id,
);
if (projectIds.length > 0) {
const allRooms =
await dal.rooms.findByProjectIds(projectIds);
const allRoomIds = allRooms.map((r) => r.id);
const allMedia =
allRoomIds.length > 0
? await dal.media.findByRoomIds(allRoomIds)
: [];
// Group media by project (via rooms)
const roomToProject = new Map<number, string>();
for (const room of allRooms) {
roomToProject.set(room.id, room.projectId);
}
const mediaByProject = new Map<
string,
Array<{
storageKey: string;
roomId: number;
}>
>();
for (const m of allMedia) {
const projId = roomToProject.get(m.roomId);
if (!projId) continue;
const existing = mediaByProject.get(projId) ?? [];
existing.push({
storageKey: m.storageKey,
roomId: m.roomId,
});
mediaByProject.set(projId, existing);
}
// Build room name lookup
const roomNameMap = new Map<number, string>();
const roomTypeMap = new Map<string, string>();
for (const rt of allRoomTypes) {
roomTypeMap.set(rt.code, rt.displayName);
}
for (const room of allRooms) {
roomNameMap.set(
room.id,
room.name ??
roomTypeMap.get(room.roomType) ??
room.roomType,
);
}
// Find first project with 3+ media items
for (const project of enrichedProjects) {
const projectMedia = mediaByProject.get(project.id);
if (projectMedia && projectMedia.length >= 3) {
featuredProject = project;
featuredMedia = projectMedia.map((m) => ({
storageKey: m.storageKey,
roomName: roomNameMap.get(m.roomId) ?? "",
}));
break;
}
}
// Fallback: use first project with any media
if (!featuredProject && enrichedProjects.length > 0) {
for (const project of enrichedProjects) {
const projectMedia = mediaByProject.get(project.id);
Eif (projectMedia && projectMedia.length > 0) {
featuredProject = project;
featuredMedia = projectMedia.map((m) => ({
storageKey: m.storageKey,
roomName:
roomNameMap.get(m.roomId) ?? "",
}));
break;
}
}
}
}
// Step 5: Build featured pros with portfolio covers
const proIds = prosData.map((p) => p.id);
const coverPhotos =
proIds.length > 0
? await db
.select({
proId: schema.projects.proId,
coverImage: schema.projects.coverImage,
})
.from(schema.projects)
.where(
and(
inArray(schema.projects.proId, proIds),
eq(
schema.projects.status,
"published",
),
),
)
.limit(proIds.length * 4)
: [];
const coversByProId = new Map<string, string[]>();
for (const row of coverPhotos) {
if (!row.coverImage) continue;
const existing = coversByProId.get(row.proId) ?? [];
if (existing.length < 4) {
existing.push(row.coverImage);
coversByProId.set(row.proId, existing);
}
}
const featuredPros = prosData.map((pro) => ({
id: pro.id,
businessName: pro.businessName,
slug: pro.slug,
profileImage: pro.profileImage,
logoUrl: pro.logoUrl,
isFeatured: pro.isFeatured,
portfolioCovers: coversByProId.get(pro.id) ?? [],
}));
// Step 6: Build room categories with cover images and project counts.
// Constrain rooms to those whose project belongs to a published
// pro via a correlated EXISTS subquery — the prior
// implementation materialized every published project ID into
// an `inArray()` bind list which, combined with the
// `roomType IN (...)` list below, blew past D1's 100-parameter
// statement limit once the catalog grew (93 projects × 14 room
// types = 107 binds). Matches the predicate pattern PR #395
// introduced for `/api/marketplace/projects`.
const publishedProjectExists = sql`EXISTS (
SELECT 1 FROM ${schema.projects}
INNER JOIN ${schema.pros} ON ${schema.pros.id} = ${schema.projects.proId}
WHERE ${schema.projects.id} = ${schema.rooms.projectId}
AND ${schema.projects.status} = 'published'
AND ${schema.pros.status} = 'published'
)`;
let roomCategories: Array<{
value: string;
label: string;
coverImage: string | null;
projectCount: number;
}> = [];
Eif (publishedProIds.length > 0) {
// Get room type stats: count distinct projects per room type
const roomStats = await db
.select({
roomType: schema.rooms.roomType,
projectCount:
sql<number>`count(distinct ${schema.rooms.projectId})`,
})
.from(schema.rooms)
.where(publishedProjectExists)
.groupBy(schema.rooms.roomType);
// Build room type label map
const roomTypeLabelMap = new Map<string, string>();
for (const rt of allRoomTypes) {
roomTypeLabelMap.set(rt.code, rt.displayName);
}
// For each room type, get a cover image using the 3-tier priority:
// 1. room_types.coverMediaId (admin-curated, plan §4 + 1A)
// 2. media.isCover = true from any room of this type
// 3. First media by sortOrder from any room of this type
const roomTypeCodes = roomStats.map((rs) => rs.roomType);
const coverByRoomType = new Map<string, string | null>();
if (roomTypeCodes.length > 0) {
// Single query: for each room type, resolve cover via COALESCE
// over the three tiers. Uses LEFT JOINs so all room types are
// returned even if no cover is found (NULL = no cover).
const coverRows = await db.all<{
roomType: string;
storageKey: string | null;
}>(sql`
SELECT
rt.code AS roomType,
COALESCE(
-- Tier 1: admin-curated cover media
(SELECT m1.storage_key FROM media m1
WHERE m1.id = rt.cover_media_id
LIMIT 1),
-- Tier 2: any isCover=true media from a room of this type
(SELECT m2.storage_key FROM media m2
JOIN rooms r2 ON m2.room_id = r2.id
WHERE r2.room_type = rt.code
AND m2.is_cover = 1
AND EXISTS (
SELECT 1 FROM projects p2
INNER JOIN pros pr2 ON pr2.id = p2.pro_id
WHERE p2.id = r2.project_id
AND p2.status = 'published'
AND pr2.status = 'published'
)
ORDER BY m2.sort_order ASC
LIMIT 1),
-- Tier 3: first media by sortOrder from any room of this type
(SELECT m3.storage_key FROM media m3
JOIN rooms r3 ON m3.room_id = r3.id
WHERE r3.room_type = rt.code
AND EXISTS (
SELECT 1 FROM projects p3
INNER JOIN pros pr3 ON pr3.id = p3.pro_id
WHERE p3.id = r3.project_id
AND p3.status = 'published'
AND pr3.status = 'published'
)
ORDER BY m3.sort_order ASC
LIMIT 1)
) AS storageKey
FROM room_types rt
WHERE rt.code IN (${sql.join(
roomTypeCodes.map((c) => sql`${c}`),
sql`, `,
)})
`);
for (const row of coverRows) {
Eif (!coverByRoomType.has(row.roomType)) {
coverByRoomType.set(row.roomType, row.storageKey ?? null);
}
}
}
roomCategories = roomStats.map((rs) => ({
value: rs.roomType,
label:
roomTypeLabelMap.get(rs.roomType) ?? rs.roomType,
coverImage: coverByRoomType.get(rs.roomType) ?? null,
projectCount: rs.projectCount,
}));
}
return {
featuredProject,
featuredMedia,
latestProjects: enrichedProjects,
featuredPros,
roomCategories,
stats: {
prosCount: prosCountResult[0]?.count ?? 0,
projectsCount: projectsCountResult[0]?.count ?? 0,
},
};
},
{ l1Ttl: CACHE_TTL.MARKETPLACE_HOMEPAGE_L1, l2Ttl: CACHE_TTL.MARKETPLACE_HOMEPAGE_L2 },
);
// Pre-warm room-categories cache from homepage data (background, non-blocking)
if (data.roomCategories?.length > 0) {
c.executionCtx.waitUntil(
cache.put(CACHE_KEYS.MARKETPLACE_ROOM_CATEGORIES, data.roomCategories, { l1Ttl: CACHE_TTL.MARKETPLACE_ROOM_CATEGORIES_L1, l2Ttl: CACHE_TTL.MARKETPLACE_ROOM_CATEGORIES_L2 })
);
}
return success(c, data);
} catch (err) {
return handleError(c, err);
}
});
export default homepage;
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