Files
lemonspace_app/convex/ai.ts

1038 lines
30 KiB
TypeScript

import { v } from "convex/values";
import {
action,
internalAction,
internalMutation,
} from "./_generated/server";
import { api, internal } from "./_generated/api";
import type { FunctionReference } from "convex/server";
import {
generateImageViaOpenRouter,
DEFAULT_IMAGE_MODEL,
IMAGE_MODELS,
} from "./openrouter";
import type { Id } from "./_generated/dataModel";
import { assertNodeBelongsToCanvasOrThrow } from "./ai_utils";
import {
createVideoTask,
downloadVideoAsBlob,
FreepikApiError,
getVideoTaskStatus,
} from "./freepik";
import {
categorizeError,
errorMessage,
formatTerminalStatusMessage,
getErrorCode,
getErrorSource,
getProviderStatus,
getVideoPollDelayMs,
isVideoPollTimedOut,
} from "./ai_errors";
import { getNodeDataRecord } from "./ai_node_data";
import { generateImageWithAutoRetry } from "./ai_retry";
import { getVideoModel, isVideoModelId } from "../lib/ai-video-models";
import {
shouldLogVideoPollAttempt,
shouldLogVideoPollResult,
type VideoPollStatus,
} from "../lib/video-poll-logging";
import { normalizePublicTier } from "../lib/tier-credits";
const MAX_IMAGE_RETRIES = 2;
const MAX_VIDEO_POLL_ATTEMPTS = 30;
const MAX_VIDEO_POLL_TOTAL_MS = 10 * 60 * 1000;
async function releaseInternalReservationBestEffort(
reservationId: Id<"creditTransactions"> | null | undefined,
releaseFn: (transactionId: Id<"creditTransactions">) => Promise<unknown>
) {
if (!reservationId) {
return;
}
try {
await releaseFn(reservationId);
} catch {
// Keep node status updates best-effort even if credit release fails.
}
}
async function releasePublicReservationBestEffort(
reservationId: Id<"creditTransactions"> | null | undefined,
releaseFn: (transactionId: Id<"creditTransactions">) => Promise<unknown>
) {
if (!reservationId) {
return;
}
try {
await releaseFn(reservationId);
} catch {
// Prefer returning a clear node error over masking with cleanup failures.
}
}
async function decrementConcurrencyIfNeeded(
shouldDecrement: boolean,
decrementFn: () => Promise<unknown>
) {
if (!shouldDecrement) {
return;
}
await decrementFn();
}
export const markNodeExecuting = internalMutation({
args: {
nodeId: v.id("nodes"),
},
handler: async (ctx, { nodeId }) => {
await ctx.db.patch(nodeId, {
status: "executing",
retryCount: 0,
statusMessage: undefined,
});
},
});
export const markNodeRetry = internalMutation({
args: {
nodeId: v.id("nodes"),
retryCount: v.number(),
maxRetries: v.number(),
failureMessage: v.string(),
},
handler: async (ctx, { nodeId, retryCount, maxRetries, failureMessage }) => {
const reason =
typeof failureMessage === "string" && failureMessage.trim().length > 0
? failureMessage
: "temporärer Fehler";
await ctx.db.patch(nodeId, {
status: "executing",
retryCount,
statusMessage: `Retry ${retryCount}/${maxRetries}${reason}`,
});
},
});
export const finalizeImageSuccess = internalMutation({
args: {
nodeId: v.id("nodes"),
prompt: v.string(),
modelId: v.string(),
storageId: v.id("_storage"),
aspectRatio: v.optional(v.string()),
retryCount: v.number(),
},
handler: async (
ctx,
{ nodeId, prompt, modelId, storageId, aspectRatio, retryCount }
) => {
const modelConfig = IMAGE_MODELS[modelId];
if (!modelConfig) {
throw new Error(`Unknown model: ${modelId}`);
}
const existing = await ctx.db.get(nodeId);
if (!existing) {
throw new Error("Node not found");
}
const prev = getNodeDataRecord(existing.data);
const creditCost = modelConfig.creditCost;
const resolvedAspectRatio =
aspectRatio?.trim() ||
(typeof prev.aspectRatio === "string" ? prev.aspectRatio : undefined);
await ctx.db.patch(nodeId, {
status: "done",
retryCount,
statusMessage: undefined,
data: {
...prev,
storageId,
prompt,
model: modelId,
modelLabel: modelConfig.name,
modelTier: modelConfig.tier,
generatedAt: Date.now(),
creditCost,
...(resolvedAspectRatio ? { aspectRatio: resolvedAspectRatio } : {}),
},
});
return { creditCost };
},
});
export const finalizeImageFailure = internalMutation({
args: {
nodeId: v.id("nodes"),
retryCount: v.number(),
statusMessage: v.string(),
},
handler: async (ctx, { nodeId, retryCount, statusMessage }) => {
await ctx.db.patch(nodeId, {
status: "error",
retryCount,
statusMessage,
});
},
});
export const generateAndStoreImage = internalAction({
args: {
nodeId: v.id("nodes"),
prompt: v.string(),
referenceStorageId: v.optional(v.id("_storage")),
referenceImageUrl: v.optional(v.string()),
model: v.string(),
aspectRatio: v.optional(v.string()),
},
handler: async (ctx, args) => {
const startedAt = Date.now();
const apiKey = process.env.OPENROUTER_API_KEY;
if (!apiKey) {
throw new Error("OPENROUTER_API_KEY is not set");
}
console.info("[generateAndStoreImage] start", {
nodeId: args.nodeId,
model: args.model,
hasReferenceStorageId: Boolean(args.referenceStorageId),
hasReferenceImageUrl: Boolean(args.referenceImageUrl?.trim()),
aspectRatio: args.aspectRatio?.trim() || null,
promptLength: args.prompt.length,
});
let retryCount = 0;
let referenceImageUrl = args.referenceImageUrl?.trim() || undefined;
if (args.referenceStorageId) {
referenceImageUrl =
(await ctx.storage.getUrl(args.referenceStorageId)) ?? undefined;
}
try {
const result = await generateImageWithAutoRetry(
() =>
generateImageViaOpenRouter(apiKey, {
prompt: args.prompt,
referenceImageUrl,
model: args.model,
aspectRatio: args.aspectRatio,
}),
async (nextRetryCount, maxRetries, failure) => {
retryCount = nextRetryCount;
await ctx.runMutation(internal.ai.markNodeRetry, {
nodeId: args.nodeId,
retryCount: nextRetryCount,
maxRetries,
failureMessage: failure.message,
});
},
MAX_IMAGE_RETRIES
);
const decodeStartedAt = Date.now();
const binaryString = atob(result.imageBase64);
const bytes = new Uint8Array(binaryString.length);
for (let i = 0; i < binaryString.length; i++) {
bytes[i] = binaryString.charCodeAt(i);
}
console.info("[generateAndStoreImage] image decoded", {
nodeId: args.nodeId,
retryCount,
decodeDurationMs: Date.now() - decodeStartedAt,
bytes: bytes.length,
totalDurationMs: Date.now() - startedAt,
});
const storageStartedAt = Date.now();
const blob = new Blob([bytes], { type: result.mimeType });
const storageId = await ctx.storage.store(blob);
console.info("[generateAndStoreImage] image stored", {
nodeId: args.nodeId,
retryCount,
storageDurationMs: Date.now() - storageStartedAt,
totalDurationMs: Date.now() - startedAt,
});
return {
storageId: storageId as Id<"_storage">,
retryCount,
};
} catch (error) {
console.error("[generateAndStoreImage] failed", {
nodeId: args.nodeId,
retryCount,
totalDurationMs: Date.now() - startedAt,
message: errorMessage(error),
category: categorizeError(error).category,
});
throw error;
}
},
});
export const processImageGeneration = internalAction({
args: {
nodeId: v.id("nodes"),
prompt: v.string(),
modelId: v.string(),
referenceStorageId: v.optional(v.id("_storage")),
referenceImageUrl: v.optional(v.string()),
aspectRatio: v.optional(v.string()),
reservationId: v.optional(v.id("creditTransactions")),
shouldDecrementConcurrency: v.boolean(),
userId: v.string(),
},
handler: async (ctx, args) => {
const startedAt = Date.now();
console.info("[processImageGeneration] start", {
nodeId: args.nodeId,
reservationId: args.reservationId ?? null,
shouldDecrementConcurrency: args.shouldDecrementConcurrency,
userId: args.userId,
});
let retryCount = 0;
try {
const result = await ctx.runAction(internal.ai.generateAndStoreImage, {
nodeId: args.nodeId,
prompt: args.prompt,
referenceStorageId: args.referenceStorageId,
referenceImageUrl: args.referenceImageUrl,
model: args.modelId,
aspectRatio: args.aspectRatio,
});
retryCount = result.retryCount;
const { creditCost } = await ctx.runMutation(internal.ai.finalizeImageSuccess, {
nodeId: args.nodeId,
prompt: args.prompt,
modelId: args.modelId,
storageId: result.storageId,
aspectRatio: args.aspectRatio,
retryCount,
});
if (args.reservationId) {
await ctx.runMutation(internal.credits.commitInternal, {
transactionId: args.reservationId,
actualCost: creditCost,
});
}
console.info("[processImageGeneration] success", {
nodeId: args.nodeId,
retryCount,
totalDurationMs: Date.now() - startedAt,
reservationId: args.reservationId ?? null,
});
} catch (error) {
console.error("[processImageGeneration] failed", {
nodeId: args.nodeId,
retryCount,
totalDurationMs: Date.now() - startedAt,
reservationId: args.reservationId ?? null,
category: categorizeError(error).category,
message: errorMessage(error),
});
await releaseInternalReservationBestEffort(
args.reservationId,
(transactionId) =>
ctx.runMutation(internal.credits.releaseInternal, {
transactionId,
})
);
await ctx.runMutation(internal.ai.finalizeImageFailure, {
nodeId: args.nodeId,
retryCount,
statusMessage: formatTerminalStatusMessage(error),
});
} finally {
await decrementConcurrencyIfNeeded(args.shouldDecrementConcurrency, () =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId: args.userId,
})
);
console.info("[processImageGeneration] finished", {
nodeId: args.nodeId,
retryCount,
totalDurationMs: Date.now() - startedAt,
shouldDecrementConcurrency: args.shouldDecrementConcurrency,
});
}
},
});
export const generateImage = action({
args: {
canvasId: v.id("canvases"),
nodeId: v.id("nodes"),
prompt: v.string(),
referenceStorageId: v.optional(v.id("_storage")),
referenceImageUrl: v.optional(v.string()),
model: v.optional(v.string()),
aspectRatio: v.optional(v.string()),
},
handler: async (
ctx,
args
): Promise<{ queued: true; nodeId: Id<"nodes"> }> => {
const startedAt = Date.now();
const canvas = await ctx.runQuery(api.canvases.get, {
canvasId: args.canvasId,
});
if (!canvas) {
throw new Error("Canvas not found");
}
const node = await ctx.runQuery(
api.nodes.get as FunctionReference<"query", "public">,
{
nodeId: args.nodeId,
includeStorageUrl: false,
}
);
if (!node) {
throw new Error("Node not found");
}
assertNodeBelongsToCanvasOrThrow(node, args.canvasId);
const userId = canvas.ownerId;
const verifiedCanvasId = canvas._id;
const verifiedNodeId = node._id;
const internalCreditsEnabled =
process.env.INTERNAL_CREDITS_ENABLED === "true";
const modelId = args.model ?? DEFAULT_IMAGE_MODEL;
const modelConfig = IMAGE_MODELS[modelId];
if (!modelConfig) {
throw new Error(`Unknown model: ${modelId}`);
}
await ctx.runMutation(internal.credits.checkAbuseLimits, {});
let usageIncremented = false;
const reservationId: Id<"creditTransactions"> | null = internalCreditsEnabled
? await ctx.runMutation(api.credits.reserve, {
estimatedCost: modelConfig.creditCost,
description: `Bildgenerierung — ${modelConfig.name}`,
model: modelId,
nodeId: verifiedNodeId,
canvasId: verifiedCanvasId,
provider: "openrouter",
})
: null;
if (!internalCreditsEnabled) {
await ctx.runMutation(internal.credits.incrementUsage, {});
usageIncremented = true;
}
const retryCount = 0;
let backgroundJobScheduled = false;
try {
await ctx.runMutation(internal.ai.markNodeExecuting, {
nodeId: verifiedNodeId,
});
await ctx.scheduler.runAfter(0, internal.ai.processImageGeneration, {
nodeId: verifiedNodeId,
prompt: args.prompt,
modelId,
referenceStorageId: args.referenceStorageId,
referenceImageUrl: args.referenceImageUrl,
aspectRatio: args.aspectRatio,
reservationId: reservationId ?? undefined,
shouldDecrementConcurrency: usageIncremented,
userId,
});
backgroundJobScheduled = true;
console.info("[generateImage] background job scheduled", {
nodeId: verifiedNodeId,
canvasId: verifiedCanvasId,
modelId,
reservationId: reservationId ?? null,
usageIncremented,
durationMs: Date.now() - startedAt,
});
return { queued: true as const, nodeId: verifiedNodeId };
} catch (error) {
console.error("[generateImage] scheduling failed", {
nodeId: verifiedNodeId,
canvasId: verifiedCanvasId,
modelId,
reservationId: reservationId ?? null,
usageIncremented,
durationMs: Date.now() - startedAt,
category: categorizeError(error).category,
message: errorMessage(error),
});
await releasePublicReservationBestEffort(reservationId, (transactionId) =>
ctx.runMutation(api.credits.release, {
transactionId,
})
);
await ctx.runMutation(internal.ai.finalizeImageFailure, {
nodeId: verifiedNodeId,
retryCount,
statusMessage: formatTerminalStatusMessage(error),
});
throw error;
} finally {
await decrementConcurrencyIfNeeded(
usageIncremented && !backgroundJobScheduled,
() =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId,
})
);
}
},
});
function isVideoModelAllowedForTier(modelTier: "free" | "starter" | "pro", userTier: "free" | "starter" | "pro" | "max") {
const tierOrder = { free: 0, starter: 1, pro: 2, max: 3 } as const;
return tierOrder[userTier] >= tierOrder[modelTier];
}
export const setVideoTaskInfo = internalMutation({
args: {
nodeId: v.id("nodes"),
taskId: v.string(),
},
handler: async (ctx, { nodeId, taskId }) => {
const node = await ctx.db.get(nodeId);
if (!node) {
throw new Error("Node not found");
}
const prev = getNodeDataRecord(node.data);
await ctx.db.patch(nodeId, {
data: {
...prev,
taskId,
},
});
},
});
export const markVideoPollingRetry = internalMutation({
args: {
nodeId: v.id("nodes"),
attempt: v.number(),
maxAttempts: v.number(),
failureMessage: v.string(),
},
handler: async (ctx, { nodeId, attempt, maxAttempts, failureMessage }) => {
await ctx.db.patch(nodeId, {
status: "executing",
retryCount: attempt,
statusMessage: `Retry ${attempt}/${maxAttempts} - ${failureMessage}`,
});
},
});
export const finalizeVideoSuccess = internalMutation({
args: {
nodeId: v.id("nodes"),
prompt: v.string(),
modelId: v.string(),
durationSeconds: v.union(v.literal(5), v.literal(10)),
storageId: v.id("_storage"),
retryCount: v.number(),
creditCost: v.number(),
},
handler: async (
ctx,
{ nodeId, prompt, modelId, durationSeconds, storageId, retryCount, creditCost }
) => {
const model = getVideoModel(modelId);
if (!model) {
throw new Error(`Unknown video model: ${modelId}`);
}
const existing = await ctx.db.get(nodeId);
if (!existing) {
throw new Error("Node not found");
}
const prev = getNodeDataRecord(existing.data);
await ctx.db.patch(nodeId, {
status: "done",
retryCount,
statusMessage: undefined,
data: {
...prev,
taskId: undefined,
storageId,
prompt,
model: modelId,
modelLabel: model.label,
durationSeconds,
generatedAt: Date.now(),
creditCost,
},
});
},
});
export const finalizeVideoFailure = internalMutation({
args: {
nodeId: v.id("nodes"),
retryCount: v.number(),
statusMessage: v.string(),
},
handler: async (ctx, { nodeId, retryCount, statusMessage }) => {
const existing = await ctx.db.get(nodeId);
if (!existing) {
throw new Error("Node not found");
}
const prev = getNodeDataRecord(existing.data);
await ctx.db.patch(nodeId, {
status: "error",
retryCount,
statusMessage,
data: {
...prev,
taskId: undefined,
},
});
},
});
export const processVideoGeneration = internalAction({
args: {
outputNodeId: v.id("nodes"),
prompt: v.string(),
modelId: v.string(),
durationSeconds: v.union(v.literal(5), v.literal(10)),
creditCost: v.number(),
reservationId: v.optional(v.id("creditTransactions")),
shouldDecrementConcurrency: v.boolean(),
userId: v.string(),
},
handler: async (ctx, args) => {
const model = getVideoModel(args.modelId);
if (!model) {
throw new Error(`Unknown video model: ${args.modelId}`);
}
console.info("[processVideoGeneration] start", {
outputNodeId: args.outputNodeId,
modelId: args.modelId,
endpoint: model.freepikEndpoint,
durationSeconds: args.durationSeconds,
promptLength: args.prompt.length,
hasReservation: Boolean(args.reservationId),
shouldDecrementConcurrency: args.shouldDecrementConcurrency,
});
try {
const { task_id } = await createVideoTask({
endpoint: model.freepikEndpoint,
prompt: args.prompt,
durationSeconds: args.durationSeconds,
});
console.info("[processVideoGeneration] task created", {
outputNodeId: args.outputNodeId,
taskId: task_id,
modelId: args.modelId,
});
await ctx.runMutation(internal.ai.setVideoTaskInfo, {
nodeId: args.outputNodeId,
taskId: task_id,
});
await ctx.scheduler.runAfter(getVideoPollDelayMs(1), internal.ai.pollVideoTask, {
taskId: task_id,
outputNodeId: args.outputNodeId,
prompt: args.prompt,
modelId: args.modelId,
durationSeconds: args.durationSeconds,
creditCost: args.creditCost,
reservationId: args.reservationId,
shouldDecrementConcurrency: args.shouldDecrementConcurrency,
userId: args.userId,
attempt: 1,
startedAtMs: Date.now(),
});
} catch (error) {
console.warn("[processVideoGeneration] failed before polling", {
outputNodeId: args.outputNodeId,
modelId: args.modelId,
errorMessage: errorMessage(error),
errorCode: getErrorCode(error) ?? null,
source: getErrorSource(error) ?? null,
providerStatus: getProviderStatus(error),
freepikBody: error instanceof FreepikApiError ? error.body : undefined,
});
await releaseInternalReservationBestEffort(
args.reservationId,
(transactionId) =>
ctx.runMutation(internal.credits.releaseInternal, {
transactionId,
})
);
await ctx.runMutation(internal.ai.finalizeVideoFailure, {
nodeId: args.outputNodeId,
retryCount: 0,
statusMessage: formatTerminalStatusMessage(error),
});
await decrementConcurrencyIfNeeded(args.shouldDecrementConcurrency, () =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId: args.userId,
})
);
}
},
});
export const pollVideoTask = internalAction({
args: {
taskId: v.string(),
outputNodeId: v.id("nodes"),
prompt: v.string(),
modelId: v.string(),
durationSeconds: v.union(v.literal(5), v.literal(10)),
creditCost: v.number(),
reservationId: v.optional(v.id("creditTransactions")),
shouldDecrementConcurrency: v.boolean(),
userId: v.string(),
attempt: v.number(),
startedAtMs: v.number(),
},
handler: async (ctx, args) => {
const elapsedMs = Date.now() - args.startedAtMs;
if (
isVideoPollTimedOut({
attempt: args.attempt,
maxAttempts: MAX_VIDEO_POLL_ATTEMPTS,
elapsedMs,
maxTotalMs: MAX_VIDEO_POLL_TOTAL_MS,
})
) {
await releaseInternalReservationBestEffort(
args.reservationId,
(transactionId) =>
ctx.runMutation(internal.credits.releaseInternal, {
transactionId,
})
);
await ctx.runMutation(internal.ai.finalizeVideoFailure, {
nodeId: args.outputNodeId,
retryCount: args.attempt,
statusMessage: "Timeout: Video generation exceeded maximum polling time",
});
await decrementConcurrencyIfNeeded(args.shouldDecrementConcurrency, () =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId: args.userId,
})
);
return;
}
try {
if (shouldLogVideoPollAttempt(args.attempt)) {
console.info("[pollVideoTask] poll start", {
outputNodeId: args.outputNodeId,
taskId: args.taskId,
attempt: args.attempt,
elapsedMs,
});
}
const model = getVideoModel(args.modelId);
if (!model) {
throw new Error(`Unknown video model: ${args.modelId}`);
}
const status = await getVideoTaskStatus({
taskId: args.taskId,
statusEndpointPath: model.statusEndpointPath,
attempt: args.attempt,
});
if (shouldLogVideoPollResult(args.attempt, status.status as VideoPollStatus)) {
console.info("[pollVideoTask] poll result", {
outputNodeId: args.outputNodeId,
taskId: args.taskId,
attempt: args.attempt,
status: status.status,
generatedCount: status.generated?.length ?? 0,
hasError: Boolean(status.error),
statusError: status.error ?? null,
});
}
if (status.status === "FAILED") {
await releaseInternalReservationBestEffort(
args.reservationId,
(transactionId) =>
ctx.runMutation(internal.credits.releaseInternal, {
transactionId,
})
);
await ctx.runMutation(internal.ai.finalizeVideoFailure, {
nodeId: args.outputNodeId,
retryCount: args.attempt,
statusMessage: status.error?.trim() || "Provider: Video generation failed",
});
await decrementConcurrencyIfNeeded(args.shouldDecrementConcurrency, () =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId: args.userId,
})
);
return;
}
if (status.status === "COMPLETED") {
const generatedUrl = status.generated?.[0]?.url;
if (!generatedUrl) {
throw new Error("Freepik completed without generated video URL");
}
const blob = await downloadVideoAsBlob(generatedUrl);
const storageId = await ctx.storage.store(blob);
await ctx.runMutation(internal.ai.finalizeVideoSuccess, {
nodeId: args.outputNodeId,
prompt: args.prompt,
modelId: args.modelId,
durationSeconds: args.durationSeconds,
storageId: storageId as Id<"_storage">,
retryCount: args.attempt,
creditCost: args.creditCost,
});
if (args.reservationId) {
await ctx.runMutation(internal.credits.commitInternal, {
transactionId: args.reservationId,
actualCost: args.creditCost,
});
}
await decrementConcurrencyIfNeeded(args.shouldDecrementConcurrency, () =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId: args.userId,
})
);
return;
}
} catch (error) {
console.warn("[pollVideoTask] poll failed", {
outputNodeId: args.outputNodeId,
taskId: args.taskId,
attempt: args.attempt,
elapsedMs,
errorMessage: errorMessage(error),
errorCode: getErrorCode(error) ?? null,
source: getErrorSource(error) ?? null,
providerStatus: getProviderStatus(error),
retryable: categorizeError(error).retryable,
freepikBody: error instanceof FreepikApiError ? error.body : undefined,
});
const { retryable } = categorizeError(error);
if (retryable && args.attempt < MAX_VIDEO_POLL_ATTEMPTS) {
await ctx.runMutation(internal.ai.markVideoPollingRetry, {
nodeId: args.outputNodeId,
attempt: args.attempt,
maxAttempts: MAX_VIDEO_POLL_ATTEMPTS,
failureMessage: errorMessage(error),
});
const retryDelayMs = getVideoPollDelayMs(args.attempt);
await ctx.scheduler.runAfter(retryDelayMs, internal.ai.pollVideoTask, {
...args,
attempt: args.attempt + 1,
});
return;
}
await releaseInternalReservationBestEffort(
args.reservationId,
(transactionId) =>
ctx.runMutation(internal.credits.releaseInternal, {
transactionId,
})
);
await ctx.runMutation(internal.ai.finalizeVideoFailure, {
nodeId: args.outputNodeId,
retryCount: args.attempt,
statusMessage: formatTerminalStatusMessage(error),
});
await decrementConcurrencyIfNeeded(args.shouldDecrementConcurrency, () =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId: args.userId,
})
);
return;
}
const delayMs = getVideoPollDelayMs(args.attempt);
await ctx.scheduler.runAfter(delayMs, internal.ai.pollVideoTask, {
...args,
attempt: args.attempt + 1,
});
},
});
export const generateVideo = action({
args: {
canvasId: v.id("canvases"),
sourceNodeId: v.id("nodes"),
outputNodeId: v.id("nodes"),
prompt: v.string(),
modelId: v.string(),
durationSeconds: v.union(v.literal(5), v.literal(10)),
},
handler: async (ctx, args): Promise<{ queued: true; outputNodeId: Id<"nodes"> }> => {
const canvas = await ctx.runQuery(api.canvases.get, {
canvasId: args.canvasId,
});
if (!canvas) {
throw new Error("Canvas not found");
}
const sourceNode = await ctx.runQuery(
api.nodes.get as FunctionReference<"query", "public">,
{
nodeId: args.sourceNodeId,
includeStorageUrl: false,
}
);
if (!sourceNode) {
throw new Error("Source node not found");
}
assertNodeBelongsToCanvasOrThrow(sourceNode, args.canvasId);
const outputNode = await ctx.runQuery(
api.nodes.get as FunctionReference<"query", "public">,
{
nodeId: args.outputNodeId,
includeStorageUrl: false,
}
);
if (!outputNode) {
throw new Error("Output node not found");
}
assertNodeBelongsToCanvasOrThrow(outputNode, args.canvasId);
if (outputNode.type !== "ai-video") {
throw new Error("Output node must be ai-video");
}
if (!isVideoModelId(args.modelId)) {
throw new Error(`Unknown video model: ${args.modelId}`);
}
const model = getVideoModel(args.modelId);
if (!model) {
throw new Error(`Unknown video model: ${args.modelId}`);
}
const subscription = await ctx.runQuery(api.credits.getSubscription, {});
const userTier = normalizePublicTier(subscription?.tier);
if (!isVideoModelAllowedForTier(model.tier, userTier)) {
throw new Error(`Model ${args.modelId} requires ${model.tier} tier`);
}
const prompt = args.prompt.trim();
if (!prompt) {
throw new Error("Prompt is required");
}
const userId = canvas.ownerId;
const creditCost = model.creditCost[args.durationSeconds];
const internalCreditsEnabled = process.env.INTERNAL_CREDITS_ENABLED === "true";
await ctx.runMutation(internal.credits.checkAbuseLimits, {});
let usageIncremented = false;
const reservationId: Id<"creditTransactions"> | null = internalCreditsEnabled
? await ctx.runMutation(api.credits.reserve, {
estimatedCost: creditCost,
description: `Videogenerierung - ${model.label} (${args.durationSeconds}s)`,
model: args.modelId,
nodeId: args.outputNodeId,
canvasId: args.canvasId,
provider: "freepik",
videoMeta: {
model: args.modelId,
durationSeconds: args.durationSeconds,
hasAudio: false,
},
})
: null;
if (!internalCreditsEnabled) {
await ctx.runMutation(internal.credits.incrementUsage, {});
usageIncremented = true;
}
try {
await ctx.runMutation(internal.ai.markNodeExecuting, {
nodeId: args.outputNodeId,
});
await ctx.scheduler.runAfter(0, internal.ai.processVideoGeneration, {
outputNodeId: args.outputNodeId,
prompt,
modelId: args.modelId,
durationSeconds: args.durationSeconds,
creditCost,
reservationId: reservationId ?? undefined,
shouldDecrementConcurrency: usageIncremented,
userId,
});
return { queued: true, outputNodeId: args.outputNodeId };
} catch (error) {
await releasePublicReservationBestEffort(reservationId, (transactionId) =>
ctx.runMutation(api.credits.release, {
transactionId,
})
);
await ctx.runMutation(internal.ai.finalizeVideoFailure, {
nodeId: args.outputNodeId,
retryCount: 0,
statusMessage: formatTerminalStatusMessage(error),
});
await decrementConcurrencyIfNeeded(usageIncremented, () =>
ctx.runMutation(internal.credits.decrementConcurrency, {
userId,
})
);
throw error;
}
},
});