Files
lemonspace_app/tests/convex/media-backfill.test.ts

357 lines
9.9 KiB
TypeScript

import { describe, expect, it, vi } from "vitest";
vi.mock("@/convex/helpers", () => ({
requireAuth: vi.fn(),
optionalAuth: vi.fn(),
}));
import type { Id } from "@/convex/_generated/dataModel";
import {
backfillLegacyMediaForCanvas,
mapLegacyNodeToMediaArchiveInput,
} from "@/convex/media";
import { backfillMediaArchiveBatch } from "@/convex/migrations";
import {
buildFreepikAssetDedupeKey,
buildPexelsVideoDedupeKey,
buildStoredMediaDedupeKey,
} from "@/lib/media-archive";
type MockCanvas = {
_id: Id<"canvases">;
ownerId: string;
};
type MockNode = {
_id: Id<"nodes">;
canvasId: Id<"canvases">;
type: string;
data: Record<string, unknown>;
};
type MockMediaItem = {
_id: Id<"mediaItems">;
ownerId: string;
dedupeKey: string;
kind: "image" | "video" | "asset";
source: "upload" | "ai-image" | "ai-video" | "freepik-asset" | "pexels-video";
storageId?: Id<"_storage">;
providerAssetId?: string;
createdAt: number;
updatedAt: number;
lastUsedAt: number;
};
function createMockDb(args: {
canvases: MockCanvas[];
nodes: MockNode[];
mediaItems?: MockMediaItem[];
}) {
const rows = [...(args.mediaItems ?? [])];
const db = {
query: (table: "canvases" | "nodes" | "mediaItems") => {
if (table === "canvases") {
return {
order: (direction: "asc" | "desc") => {
expect(direction).toBe("asc");
return {
collect: async () => [...args.canvases],
};
},
};
}
if (table === "nodes") {
return {
withIndex: (
index: "by_canvas",
apply: (q: { eq: (field: string, value: unknown) => unknown }) => unknown,
) => {
expect(index).toBe("by_canvas");
const clauses: Array<{ field: string; value: unknown }> = [];
const queryBuilder = {
eq(field: string, value: unknown) {
clauses.push({ field, value });
return this;
},
};
apply(queryBuilder);
return {
collect: async () => {
const canvasId = clauses.find((clause) => clause.field === "canvasId")?.value;
return args.nodes.filter((node) => node.canvasId === canvasId);
},
};
},
};
}
return {
withIndex: (
index: "by_owner_dedupe",
apply: (q: { eq: (field: string, value: unknown) => unknown }) => unknown,
) => {
expect(index).toBe("by_owner_dedupe");
const clauses: Array<{ field: string; value: unknown }> = [];
const queryBuilder = {
eq(field: string, value: unknown) {
clauses.push({ field, value });
return this;
},
};
apply(queryBuilder);
return {
unique: async () => {
const ownerId = clauses.find((clause) => clause.field === "ownerId")?.value;
const dedupeKey = clauses.find((clause) => clause.field === "dedupeKey")?.value;
return rows.find((row) => row.ownerId === ownerId && row.dedupeKey === dedupeKey) ?? null;
},
};
},
};
},
insert: async (_table: "mediaItems", value: Omit<MockMediaItem, "_id">) => {
const inserted = {
_id: `media_${rows.length + 1}` as Id<"mediaItems">,
...value,
};
rows.push(inserted);
return inserted._id;
},
patch: async (id: Id<"mediaItems">, patchValue: Partial<MockMediaItem>) => {
const row = rows.find((entry) => entry._id === id);
if (!row) {
throw new Error("missing row");
}
Object.assign(row, patchValue);
},
get: async (id: Id<"mediaItems">) => {
return rows.find((entry) => entry._id === id) ?? null;
},
};
return { db, rows };
}
describe("media backfill", () => {
it("converts supported legacy node types into media archive inputs", () => {
const imageStorageId = "storage_image_1" as Id<"_storage">;
const aiImageStorageId = "storage_ai_image_1" as Id<"_storage">;
const aiVideoStorageId = "storage_ai_video_1" as Id<"_storage">;
expect(
mapLegacyNodeToMediaArchiveInput({
_id: "node_image" as Id<"nodes">,
canvasId: "canvas_1" as Id<"canvases">,
type: "image",
data: {
storageId: imageStorageId,
mimeType: "image/png",
width: 1920,
height: 1080,
},
}),
).toMatchObject({
kind: "image",
source: "upload",
dedupeKey: buildStoredMediaDedupeKey(imageStorageId),
storageId: imageStorageId,
mimeType: "image/png",
width: 1920,
height: 1080,
});
expect(
mapLegacyNodeToMediaArchiveInput({
_id: "node_ai_image" as Id<"nodes">,
canvasId: "canvas_1" as Id<"canvases">,
type: "ai-image",
data: {
storageId: aiImageStorageId,
},
}),
).toMatchObject({
kind: "image",
source: "ai-image",
dedupeKey: buildStoredMediaDedupeKey(aiImageStorageId),
storageId: aiImageStorageId,
});
expect(
mapLegacyNodeToMediaArchiveInput({
_id: "node_ai_video" as Id<"nodes">,
canvasId: "canvas_1" as Id<"canvases">,
type: "ai-video",
data: {
storageId: aiVideoStorageId,
durationSeconds: 10,
},
}),
).toMatchObject({
kind: "video",
source: "ai-video",
dedupeKey: buildStoredMediaDedupeKey(aiVideoStorageId),
storageId: aiVideoStorageId,
durationSeconds: 10,
});
expect(
mapLegacyNodeToMediaArchiveInput({
_id: "node_asset" as Id<"nodes">,
canvasId: "canvas_1" as Id<"canvases">,
type: "asset",
data: {
assetId: 123,
assetType: "photo",
sourceUrl: "https://www.freepik.com/asset/123",
previewUrl: "https://cdn.freepik.com/preview/123.jpg",
},
}),
).toMatchObject({
kind: "asset",
source: "freepik-asset",
dedupeKey: buildFreepikAssetDedupeKey("photo", 123),
providerAssetId: "123",
sourceUrl: "https://www.freepik.com/asset/123",
previewUrl: "https://cdn.freepik.com/preview/123.jpg",
});
expect(
mapLegacyNodeToMediaArchiveInput({
_id: "node_video" as Id<"nodes">,
canvasId: "canvas_1" as Id<"canvases">,
type: "video",
data: {
pexelsId: 987,
mp4Url: "https://videos.pexels.com/video-files/987.mp4",
thumbnailUrl: "https://images.pexels.com/videos/987.jpg",
duration: 42,
attribution: {
videoUrl: "https://www.pexels.com/video/987/",
},
},
}),
).toMatchObject({
kind: "video",
source: "pexels-video",
dedupeKey: buildPexelsVideoDedupeKey(987),
providerAssetId: "987",
originalUrl: "https://videos.pexels.com/video-files/987.mp4",
previewUrl: "https://images.pexels.com/videos/987.jpg",
sourceUrl: "https://www.pexels.com/video/987/",
durationSeconds: 42,
});
});
it("collapses duplicates through upsert and remains idempotent", async () => {
const storageId = "storage_shared" as Id<"_storage">;
const canvas: MockCanvas = { _id: "canvas_1" as Id<"canvases">, ownerId: "user_1" };
const nodes: MockNode[] = [
{
_id: "node_1" as Id<"nodes">,
canvasId: canvas._id,
type: "image",
data: { storageId },
},
{
_id: "node_2" as Id<"nodes">,
canvasId: canvas._id,
type: "ai-image",
data: { storageId },
},
];
const { db, rows } = createMockDb({ canvases: [canvas], nodes });
await backfillLegacyMediaForCanvas(
{ db } as never,
{
canvas,
nodes,
now: 1700000000000,
},
);
await backfillLegacyMediaForCanvas(
{ db } as never,
{
canvas,
nodes,
now: 1700000000100,
},
);
expect(rows).toHaveLength(1);
expect(rows[0].dedupeKey).toBe(buildStoredMediaDedupeKey(storageId));
expect(rows[0].updatedAt).toBe(1700000000100);
});
it("supports resumable cursor progression across batches", async () => {
const canvases: MockCanvas[] = [
{ _id: "canvas_1" as Id<"canvases">, ownerId: "user_1" },
{ _id: "canvas_2" as Id<"canvases">, ownerId: "user_1" },
{ _id: "canvas_3" as Id<"canvases">, ownerId: "user_2" },
];
const nodes: MockNode[] = [
{
_id: "node_1" as Id<"nodes">,
canvasId: canvases[0]._id,
type: "image",
data: { storageId: "storage_1" as Id<"_storage"> },
},
{
_id: "node_2" as Id<"nodes">,
canvasId: canvases[1]._id,
type: "image",
data: { storageId: "storage_2" as Id<"_storage"> },
},
{
_id: "node_3" as Id<"nodes">,
canvasId: canvases[2]._id,
type: "image",
data: { storageId: "storage_3" as Id<"_storage"> },
},
];
const { db, rows } = createMockDb({ canvases, nodes });
const first = await backfillMediaArchiveBatch(
{ db } as never,
{ batchSize: 1, now: 1700000000000 },
);
expect(first).toMatchObject({
processedCanvasCount: 1,
done: false,
nextCursor: canvases[0]._id,
});
expect(rows).toHaveLength(1);
const second = await backfillMediaArchiveBatch(
{ db } as never,
{ batchSize: 1, cursor: first.nextCursor, now: 1700000000100 },
);
expect(second).toMatchObject({
processedCanvasCount: 1,
done: false,
nextCursor: canvases[1]._id,
});
expect(rows).toHaveLength(2);
const third = await backfillMediaArchiveBatch(
{ db } as never,
{ batchSize: 1, cursor: second.nextCursor, now: 1700000000200 },
);
expect(third).toMatchObject({
processedCanvasCount: 1,
done: true,
nextCursor: canvases[2]._id,
});
expect(rows).toHaveLength(3);
});
});