104 lines
3.4 KiB
TypeScript
104 lines
3.4 KiB
TypeScript
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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 { getConfig } from "../app/config.ts";
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import * as SdApi from "../app/sdApi.ts";
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import createOpenApiFetch from "openapi_fetch";
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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 activeWorkers = activeGenerationWorkers;
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const { sdInstances } = await getConfig();
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const workers = Object.entries(sdInstances).map(([sdInstanceId, sdInstance]) => ({
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id: sdInstanceId,
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name: sdInstance.name ?? sdInstanceId,
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maxResolution: sdInstance.maxResolution,
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active: activeWorkers.has(sdInstanceId),
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lastOnline: null,
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imagesPerMinute: null,
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pixelsPerSecond: null,
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pixelStepsPerSecond: 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: workers },
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};
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},
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),
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}),
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"{workerId}/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 { sdInstances } = await getConfig();
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const sdInstance = sdInstances[params.workerId];
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if (!sdInstance) {
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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>({ baseUrl: sdInstance.api.url });
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const lorasResponse = await sdClient.GET("/sdapi/v1/loras", {
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headers: sdInstance.api.auth ? { Authorization: sdInstance.api.auth } : undefined,
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});
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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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"{workerId}/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 { sdInstances } = await getConfig();
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const sdInstance = sdInstances[params.workerId];
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if (!sdInstance) {
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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>({ baseUrl: sdInstance.api.url });
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const modelsResponse = await sdClient.GET("/sdapi/v1/sd-models", {
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headers: sdInstance.api.auth ? { Authorization: sdInstance.api.auth } : undefined,
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});
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if (modelsResponse.error) {
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return {
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status: 500,
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body: { type: "text/plain", data: `Models request failed: ${modelsResponse["error"]}` },
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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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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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