243 lines
8.0 KiB
TypeScript
243 lines
8.0 KiB
TypeScript
import { subMinutes } from "date-fns";
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import { Model } from "indexed_kv";
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import createOpenApiFetch from "openapi_fetch";
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import { info } from "std/log/mod.ts";
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import { createEndpoint, createMethodFilter, createPathFilter } from "t_rest/server";
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import { activeGenerationWorkers } from "../app/generationQueue.ts";
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import { generationStore } from "../app/generationStore.ts";
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import * as SdApi from "../app/sdApi.ts";
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import {
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WorkerInstance,
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workerInstanceSchema,
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workerInstanceStore,
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} from "../app/workerInstanceStore.ts";
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import { getAuthHeader } from "../utils/getAuthHeader.ts";
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import { omitUndef } from "../utils/omitUndef.ts";
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import { withUser } from "./withUser.ts";
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export type WorkerData = Omit<WorkerInstance, "sdUrl" | "sdAuth"> & {
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id: string;
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isActive: boolean;
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imagesPerMinute: number;
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stepsPerMinute: number;
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pixelsPerMinute: number;
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pixelStepsPerMinute: number;
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};
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const STATS_INTERVAL_MIN = 10;
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async function getWorkerData(workerInstance: Model<WorkerInstance>): Promise<WorkerData> {
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const after = subMinutes(new Date(), STATS_INTERVAL_MIN);
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const generations = await generationStore.getBy("workerInstanceKey", {
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value: workerInstance.value.key,
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after: after,
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});
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const imagesPerMinute = generations.length / STATS_INTERVAL_MIN;
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const stepsPerMinute = generations
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.map((generation) => generation.value.info?.steps ?? 0)
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.reduce((sum, steps) => sum + steps, 0) / STATS_INTERVAL_MIN;
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const pixelsPerMinute = generations
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.map((generation) => (generation.value.info?.width ?? 0) * (generation.value.info?.height ?? 0))
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.reduce((sum, pixels) => sum + pixels, 0) / STATS_INTERVAL_MIN;
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const pixelStepsPerMinute = generations
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.map((generation) =>
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(generation.value.info?.width ?? 0) * (generation.value.info?.height ?? 0) *
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(generation.value.info?.steps ?? 0)
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)
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.reduce((sum, pixelSteps) => sum + pixelSteps, 0) / STATS_INTERVAL_MIN;
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return {
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id: workerInstance.id,
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key: workerInstance.value.key,
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name: workerInstance.value.name,
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lastError: workerInstance.value.lastError,
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lastOnlineTime: workerInstance.value.lastOnlineTime,
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isActive: activeGenerationWorkers.get(workerInstance.id)?.isProcessing ?? false,
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imagesPerMinute,
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stepsPerMinute,
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pixelsPerMinute,
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pixelStepsPerMinute,
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};
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}
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export const workersRoute = createPathFilter({
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"": createMethodFilter({
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GET: createEndpoint(
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{ query: null, body: null },
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async () => {
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const workerInstances = await workerInstanceStore.getAll();
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const workers = await Promise.all(workerInstances.map(getWorkerData));
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return {
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status: 200,
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body: { type: "application/json", data: workers satisfies WorkerData[] },
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};
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},
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),
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POST: createEndpoint(
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{
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query: {
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sessionId: { type: "string" },
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},
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body: {
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type: "application/json",
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schema: workerInstanceSchema,
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},
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},
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async ({ query, body }) => {
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return withUser(query, async (chat) => {
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const workerInstance = await workerInstanceStore.create(body.data);
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info(`User ${chat.username} created worker ${workerInstance.id}`);
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return {
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status: 200,
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body: { type: "application/json", data: await getWorkerData(workerInstance) },
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};
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}, { admin: true });
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},
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),
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}),
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"{workerId}": createPathFilter({
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"": createMethodFilter({
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GET: createEndpoint(
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{ query: null, body: null },
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async ({ params }) => {
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const workerInstance = await workerInstanceStore.getById(params.workerId!);
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if (!workerInstance) {
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return { status: 404, body: { type: "text/plain", data: `Worker not found` } };
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}
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return {
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status: 200,
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body: { type: "application/json", data: await getWorkerData(workerInstance) },
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};
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},
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),
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PATCH: createEndpoint(
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{
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query: {
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sessionId: { type: "string" },
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},
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body: {
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type: "application/json",
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schema: { ...workerInstanceSchema, required: [] },
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},
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},
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async ({ params, query, body }) => {
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const workerInstance = await workerInstanceStore.getById(params.workerId!);
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if (!workerInstance) {
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return { status: 404, body: { type: "text/plain", data: `Worker not found` } };
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}
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return withUser(query, async (chat) => {
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info(
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`User ${chat.username} updated worker ${params.workerId}: ${
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JSON.stringify(body.data)
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}`,
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);
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await workerInstance.update(omitUndef(body.data));
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return {
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status: 200,
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body: { type: "application/json", data: await getWorkerData(workerInstance) },
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};
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}, { admin: true });
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},
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),
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DELETE: createEndpoint(
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{
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query: {
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sessionId: { type: "string" },
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},
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body: null,
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},
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async ({ params, query }) => {
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const workerInstance = await workerInstanceStore.getById(params.workerId!);
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if (!workerInstance) {
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return { status: 404, body: { type: "text/plain", data: `Worker not found` } };
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}
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return withUser(query, async (chat) => {
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info(`User ${chat.username} deleted worker ${params.workerId}`);
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await workerInstance.delete();
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return { status: 200, body: { type: "application/json", data: null } };
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}, { admin: true });
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},
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),
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}),
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"loras": createMethodFilter({
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GET: createEndpoint(
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{ query: null, body: null },
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async ({ params }) => {
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const workerInstance = await workerInstanceStore.getById(params.workerId!);
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if (!workerInstance) {
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return { status: 404, body: { type: "text/plain", data: `Worker not found` } };
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}
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const sdClient = createOpenApiFetch<SdApi.paths>({
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baseUrl: workerInstance.value.sdUrl,
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headers: getAuthHeader(workerInstance.value.sdAuth),
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});
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const lorasResponse = await sdClient.GET("/sdapi/v1/loras", {});
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if (lorasResponse.error) {
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return {
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status: 500,
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body: { type: "text/plain", data: `Loras request failed: ${lorasResponse["error"]}` },
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};
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}
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const loras = (lorasResponse.data as Lora[]).map((lora) => ({
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name: lora.name,
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alias: lora.alias ?? null,
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}));
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return {
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status: 200,
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body: { type: "application/json", data: loras },
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};
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},
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),
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}),
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"models": createMethodFilter({
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GET: createEndpoint(
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{ query: null, body: null },
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async ({ params }) => {
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const workerInstance = await workerInstanceStore.getById(params.workerId!);
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if (!workerInstance) {
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return { status: 404, body: { type: "text/plain", data: `Worker not found` } };
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}
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const sdClient = createOpenApiFetch<SdApi.paths>({
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baseUrl: workerInstance.value.sdUrl,
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headers: getAuthHeader(workerInstance.value.sdAuth),
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});
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const modelsResponse = await sdClient.GET("/sdapi/v1/sd-models", {});
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if (modelsResponse.error) {
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return {
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status: 500,
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body: {
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type: "text/plain",
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data: `Models request failed: ${modelsResponse["error"]}`,
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},
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};
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}
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const models = modelsResponse.data.map((model) => ({
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title: model.title,
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modelName: model.model_name,
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hash: model.hash,
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sha256: model.sha256,
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}));
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return {
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status: 200,
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body: { type: "application/json", data: models },
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};
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},
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),
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}),
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}),
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});
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export interface Lora {
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name: string;
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alias: string | null;
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metadata: object;
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}
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